Input stringlengths 251 41.6k | Output stringlengths 137 9.7k | input_ids listlengths 157 2.05k | attention_mask listlengths 157 2.05k | labels listlengths 157 2.05k |
|---|---|---|---|---|
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses longtext generation with a specific task of being given a prefix of a review and needing to add the next five sentences coherently the paper proposes adding two discriminators one trai... | this paper attempts at modeling coherence of generated text and proposes two kinds of discriminators that tries to measure whether a piece of text is coherent or not however the paper misses several related critical references and also lacks extensive evaluation especially manual evaluation there is consensus between... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
contributions this paper presents sbevnet a neural network architecture to estimate the birdseye view bev layout of an urban driving scene given an image captured by a stereo camera sbevnet performs an i... | this paper addresses the problem of estimating a birdseyedview overhead semantic layout estimate of a scene given an input pair of stereo images of the scene the authors present an endtoend trainable deep network that fuses features derived from the stereo images and projects these features into an overhead coordinate ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of dp isotonic regression for general loss functions an inefficient algorithm is proposed to achieve a utility with a logarithmic dependency on the alphabet size for pure dp... | most reviewers found the paper well written with no serious doubts regarding the correctness we hope authors incorporate the comments from the reviewers in their final revision to improve the presentation | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of neural network compression using analysis in the highdimensional ntk regime their main results show that under this regime the spectral properties of both ntk and ck matric... | in the paper the authors provide theorems that establish that for gmm input data the ntk matrices of dense and quantized dnns have the same eigenspectra in the asymptotic limit of high input data dimension and sample size these results motivate network compression algorithms which demonstrate good empirical performanc... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors have proposed a new approach to determine the optimized subset of weights instead of simply conduct full weights updating in order to better update the weights they measure each we... | the paper proposes an approach to selectively update the weights of neural networks in federated learning this is an interesting and important problem as several reviewers pointed out this is highly related to pruning although with a different objective it is an interesting paper but is a marginal case in the end due ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper uses cyclegan to map neuronal activities of mice as measured by calcium traces pre and postlearning the main contributions are 1 empirical results of using cyclegan to learn the pre and postlearn... | this paper received 2 marginally below and 1 marginally above ratings we discussed the paper with the reviewers and there was broad consensus that 1 the paper lacked clarity 2 multiple modeling choices were debatable eg ordering or embedding of neurons and convolution over neurons and not sufficiently justified and the... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper theoretically and empirically analyzes the link between connectivity patterns of deep networks and their convergence based on this analysis the authors propose a couple of trainingfree metrics eff... | this paper studies the relationship between connectivity of a deep network and its convergence both theoretically and empirically the paper also studies simpler metrics such as effective depth and width to guide the architecture search overall this is an impressive theoretical paper supported by empirical evidences a... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the author proposed a transformerbased encoderdecoder framework for labelfree text style transfer the described task under the unsupervised setup is important and instructive for the text styl... | this paper proposes a new method for labelfree text style transfer the method employs the pretrained language model t5 and makes an assumption that two adjacent sentences in a document have the same style experimental results show satisfying results compared with supervised methods pros the paper is generally clearly... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the proposed solution makes sense and is a reliable extension considering the baseline picks the max of the posterior pdx its a nice idea to extend the algorithm to include more randomness and increase th... | the paper presents a method to extract intestine centerline in 3d cinemri the methodological contribution lies in adding stochasticity to an existing centerline tracking method by establishing a consensus among the multiple stochastic agents r1 r2 and r3 rated the methodological contribution as small or incremental al... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces egotaskqa a new benchmark with questions and answers for diagnostic analyses on spatial temporal and causal relationships between entities in goaloriented task videos the dataset is ex... | the reviewers are positive regarding the high level of the contribution of the work for the neurips 2022 track datasets and benchmarks the authors properly addressed all reviewers comments and concerns during the rebuttal period | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a modelbased contact servoing framework to perform control the contact between a compliant tool and the robots environmet contact is parameterized as a binary contact flag line of contac... | this paper presents an architecture for modeling the interaction of a compliant tool and the environment the contact dynamics is represented by the contact indicator contact line and endeffector wrench the method is demonstrated on hardware using a compliant spatula to scrape an obstacle the authors successfully addre... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the trustworthiness of concept bottleneck models cbm by improving the accuracyinterpretability tradeoff using a conceptbased architecture concept embedding model or cem which represents e... | this paper proposes concept embedding models which learn interpretable highdimensional concept representations to exploit the tradeoff between accuracy interpretability and interventions on concepts reviewers vote for accepting this paper the authors are encouraged to further improve this work based on reviewers commen... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates how the sarah stochastic recursive gradient algorithm can be applied to trust region policy optimization the authors analyze the sarah algorithm using its approximating ordinary and ... | the use of sarah for policy optimization in rl is novel with some theoretical analysis to demonstrate convergence of this approach however concerns were raised in terms of clarity of the paper empirical results and in placement of this theory relative to a previous variance reduction algorithm called svrpg the author r... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a metalearning mechanism to address current generalization limitations in dynamics forecasting works in which the majority of works learn deep learning models capable of capturing one dy... | this work proposes a modelbased metalearning method to forecast physical dynamics the proposed approach is able to generalize across heterogeneous domains as demonstrated in convincing sets of experiments the reviewers found the work to be well motivated clear and selfcontained authors justified the proposed model arch... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new dataset for the chemistry domain as a realworld qa task the authors collected chemistry questions from a web page and used crowdsourcing to annotate the questions with labels and c... | the authors propose a new dataset chemistryqa which has complex questions requiring scientific and mathematical reasoning they show that existing sota models do not perform well on this dataset thereby establishing the complexity of the dataset the reviewers raised several concerns as summarised below 1 writing is n... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method to learn neural radiance fields that represent the underlying scene free of reflective components in the scene ie explicitly represented the transmitted regions of the scene prio... | this paper proposes a novel neural radiance field rendering method that is dealing with specular reflection on the objects surface the authors present a novel method to solve the limitation of the existing nerfbased methods for the scenes behind the transparent surfaces with specular reflection the review results are t... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper empirically studies the reason for the phenomenon that deep neural networks can memorize the data labels even the labels are randomly generated new geometric measures by replica meanfield theory a... | the paper offers novel insights about memorization the process by which deep neural networks are able to learn examples with incorrect labels the core insight is that late layers are responsible for memorization the paper presents a thorough examination of this claim from different angles the experiments involving rewi... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of learning generalizable context in rl in particular it suggests learning disentangled context representation of each confounding in the environment using the proposed mode... | this paper proposes domino an optimization framework for contextual meta reinforcement learning the reviewers generally agree that the paper is well written the idea is novel and interesting the evaluation is comprehensive and the results are impressive reviewers also raised a few concerns in the initial reviews such a... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes the use of playbacks for uda the author uses the trained model and an offline 3d object tracker to generate highquality pseudolabels of the target domain after that the original model is ... | this paper proposed an unsupervised domain adaptation method for 3d lidarbased object detection four reviewers provided detailed reviews 3 rated marginally above acceptance threshold and 1 rated ok but not good enough rejection the reviewers appreciated simple yet effective idea the well motivated method the comprehen... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studied optimization of minimax games and proposed a recursive optimization algorithm called level k gradient play lvk gp as an update based on predictive updates lvk gp does not require secondor... | this paper proposes a novel recursive reasoning algorithm for minimax games in which players try to anticipate their opponents next round move instead of reacting to the current round importantly this is achieved without requiring expensive second order information reviewers found the paper clearly written and well mot... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the augmentation of nlp samples is an important task with no clear applicable to all mechanism this is in sharp contrast to computer vision where techniques like rotation modification of hue satura... | this paper concerns data augmentation techniques for nlp in particular the authors introduce a general augmentation framework they call coda and demonstrate its utility on a few benchmark nlp tasks reporting promising empirical results the authors addressed some key concerns eg regarding hyperparameters reporting of va... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a zeroshot action recognition framework by learning an universal mapping from video to semantic space the unseen action embeddings are repositioned through leveraging the distribution of ... | this paper was reviewed by four experts in the field and received mixed scores 1 borderline accept 3 borderline reject the reviewers raised their concerns on lack of novelty unconvincing experiment and the presentation of this paper ac feels that this work has great potential but needs more work to better clarify the c... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work starts by questioning the apparent robustness of quantized networks and demonstrates that such robustness is more so a failure of the attack algorithm in picking up the gradient signal the authors... | the paper studies the robustness of binary neural networks bnns showing how quantized models suffer from gradient vanishing to solve this issue the authors propose temperature scaling approaches that can overcome this masking achieving nearperfect perfect success in crafting adversarial inputs for these models the prob... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors tackle the issue of outofdistribution detection for deep learning classifiers by proposing two regularization terms that can be added to a lossfunction to finetune a pretrained network in order ... | this paper develops a method for improving outofdistribution detection in deep learning based on a novel regularization term there was significant variance in review scores with two championing the paper for acceptance and two borderline scores 7 7 5 4 resulting in an aggregated score just above borderline accept the... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proves that the generalization curve of a linear regression problem can be designed the paper discusses both the underparameterized and overparameterized case and shows that the generali... | while there was some interest in the analysis the consensus view was that the original treatment was not sufficiently wellmotivated and the revision was too dissimilar from the original submission for it to be evaluated for publication in this years iclr | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a multistage directed exploration algorithm xtx it first imitates previous high score trajectories and then switches to an exploration policy with novelty bonuses conceptually xt... | i thank the authors for their submission and active participation in the discussions all reviewers are unanimously leaning towards acceptance of this paper reviewers in particular liked that the paper is wellwritten and easy to follow 186etadhexgo well motivated tadh interesting pskh novel 186e and provides gains over ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a novel adaptive second order method oasis for large scale optimization problems convex and nonconvex the search direction is obtained by preconditioning the gradient information with a m... | the paper presents a novel approximate second order optimization method for convex and nonconvex optimization problems the search direction is obtained by preconditioning the gradient information with a diagonal approximation of the hessian via hutchinsons method and exponential averaging the learning rate is updated u... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose to utilize the partlevel feature representation for the crossdomain generalization problem in point cloud applications given partlevel features grouped from pointwise representations the... | the paper works on domain generalization of 3d point cloud classification and proposes a partbased domain generalization network for the purpose whose key idea is to build a common feature space of part template and align the partlevel features wherein three reviewers appreciate the contributions including the clear mo... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new model architecture for 3d problem which leverages the powerful backbones pretrained from the 2d task the idea is straightforward the input point cloud is projected into 2d pixels u... | the paper presents a method of prompt tuning to transfer 2d pretrained weights to tackling 3d understanding problems all reviewers are positive about the novelty of the method with large 2d pretrained models higher performances are still expected from xwsj which is also a reasonable comment other 3d understanding tasks... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel approach to biological sequence optimization that models the task as a linear bandit problem and uses thompson sampling to guide a directed evolution algorithm towards optimizing... | the initial round of reviews for the submitted manuscript was mostly positive in tone but this enthusiasm was tempered by a number of deep technical issues and some more philosophical issues regarding the presentation and framing of the results raised by the reviewers fortunately the author rebuttal and authorreviewe... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes convmae a hybrid convolutiontransformer architecture that is friendly to maelike pretraining mae was originally proposed with vit and due to omitted mask tokens in the backbone encoder ma... | the reviewers are positive about this submission initially after the authors rebuttal one reviewer pointed out that the name convmae is not proper to describe the current work the authors respond by claiming using an alternative name which is acknowledged by the reviewer overall all the reviewers stand positive for thi... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents an approach to uncertainty modeling in recurrent neural networks through a discrete hidden state the training of this discrete model is done using a reparameterizable approxima... | this paper proposes a method to quantify the uncertainty for rnn which is an important problem in various applications it provides results in a variety of domains demonstrating that the proposed method outperforms baselines however these experiments would benefit greatly from a comparison with sota methods for the spec... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper investigates the impact of different calibration strategy precombination postcombination and its dynamic variant on the performance of a deep ensemble it presents both theoretical and em... | this paper studies ensemble calibration and the relationship between the calibration of individual ensemble member models with the calibration of the resulting ensemble prediction the main theoretical result is that individual ensemble members should not be individually calibrated in order to have a wellcalibrated ens... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an extension to the commonly used gaussian process based hpo by incorporating the learning curve dynamics to decide the next hp configuration to be tried out for this the authors propose ... | this paper presents a new method for performing bayesian optimization for hyperparameter tuning that uses learning curve trajectories to reason about how long to train a model for thus grey box optimization and whether to continue training a model the reviewers seem to find the paper clear wellmotivated and the presen... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes two benchmarks for continual language modeling one evaluating characterlevel multilingual drift between languages which share similar characters and second evaluating wordlevel dr... | the initial reviews were mixed for this paper on one hand some of the reviewers highlighted that the proposed datasets could be useful to researchers on the other reviewers found a few important flaws with the current manuscript including missing baselines issues with the proposed tasks and possibly inaccurateimprecise... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work presents a new parallel tempering scheme that adapts a variational reference distribution within a parametric family they adopt a parameter to minimize the forward kl divergence between the paramet... | the idea of this paper is to tune the reference distribution for parallel tempering to improve efficiency the key idea is simple assume the reference distribution is in the exponential family and use sufficient statistics experimental results show that this typically helps in terms of metrics like effective sample size... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a method for improving taillabel performance in extreme multilabel learning setup where the number of target labels can be extremely large it is based on the finding that the distribution... | the paper presents some interesting insights but all reviewers have agreed that it does not meet the bar of iclr the theoretical results require revision as several issues have been indicated in the reviews the authors have tried to correct them during the rebuttal but the reviewers remain unconvinced also the novelty... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new method for integrating graphbased models with boosting this is done using the typical method involving residuals and weaklearners but adding a step where information is propagated ... | the paper addresses a problem encountered in many realworld applications ie the treatment of tabular data composed of heterogeneous feature types where samples are not iid in this case learning is more effective if the typically successful approach for iid data boosted decision trees committee techniques is combined w... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces segvit a semantic segmentation framework with plain vits as backbones one of the core technical contributions is the proposed attentiontomask atm block which generating masks from the i... | this submission has received comments from 4 official reviewers the authors have made very detailed replies to the reviewers comments the authors and reviewers had quite rich discussions after these discussions 3 reviewers recommended weak acceptance and 1 recommended rejection for the novelty concerns the authors cl... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors introduce a new pseudo distance on attributed graphs the tree movers distance tmd they first introduce then authors introduce a distance between trees td which aims at recursively comparing their ro... | this paper proposes a new similarity measure between graphs based on computing optimal transport between distributions of trees extracted from graphs the method benefit from the fast solvers of ot between trees and the proposed metric has been shown to be interesting for computing a lipshitz constant related to the ge... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is an excellent analysis paper of a very interesting phenomenon in deep neural networks quality clarity originality as far as i know the paper explores a very relevant and original question studying ... | this paper is an analysis of the phenomenon of example forgetting in deep neural net training the empirical study is the first of its kind and features convincing experiments with architectures that achieve near stateoftheart results it shows that a portion of the training set can be seen as support examples the review... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the effect of batch normalization via a physics style meanfield theory the theory yields a prediction of maximal learning rate for fullyconnected and convolutional networks and experiment... | this paper presents a mean field analysis of the effect of batch norm on optimization assuming the weights and biases are independent gaussians an assumption thats led to other interesting analysis they propagate various statistics through the network which lets them derive the maximum eigenvalue of the fisher informat... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
recommendation 2 serious ethical issues that need to be addressed in the final version ethics review the authors introduce the tgea 20 dataset which is a chinese dataset where the examples are generated b... | the reviewers all liked the paper the authors response clarified most points raised by the reviewers in view of that the authors are strongly invited to take the feedback on board for the final version the main ethical issue raised by reviewers is the risk of erasure and invisibility of linguistic variability in chines... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i have read the authors responses to all reviews and ultimately elected to leave my score as it is weak accept i think the empirical results are strong and while i am not as troubled by the motivation and f... | this paper studies the problem of uncertainty estimation under distribution shift the proposed approach pad addresses this underestimation issue by augmenting the training data with inputs that the network has unjustified low uncertainty estimates and asking the model to correct this underestimation at those augmented ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper addresses the complexity of the forward pass inference in neural odes the paper proposes to augment training of the neural ode with an auxiliary neural network that dynamically selects t... | this paper proposes two methods to speed up the evaluation of neural odes regularizing the ode to be easier to integrate and adaptively choosing which integrator to use these two ideas are fundamentally sensible but the execution of the current paper is lacking in addition to writing and clarity issues the main probl... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors propose a method that takes a video with multiple foreground objects as input along with the corresponding background framesimage and rough segmentation masks for each object it then outputs an alph... | all reviewers found that the paper provides a novel interesting solution and is well written they appreciated that the proposed method outperforms prior work on synthetic experiments and shows reasonable results on real data the video results were particularly helpful in judging the results the majority of the reviewe... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the idea of creating an intermediate model of the eye for tracking is an interesting one the weakest part of the paper seems to be the evaluation and lack of real world testing with such validation the pape... | this work proposes a neural architecture pointcloud approach for reconstructing the eye geometry based on noisy partial observations reviewers have found the problem addressed interesting and the experimental results relatively compelling some of the reviews raised several questions that can be adequately addressed in ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a genarative model for images which explicitly separates the within class variation the covariant part from the across class variation invariant part functionally this achieves a similar... | the paper presents a new approach to learn separate classinvariant and classequivariant latent representations by training on labeled and optional additional unlabelled multi class data empirical results on mnist and svhn show that the method works well reviewers initially highlighted the following weaknesses of the pa... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the reliance of deep learning models on spurious correlations in particular the authors look at the quality of feature representations learned by models trained via erm versus models trai... | the paper shows that empirical risk minimization is sufficient to obtain good worstgroup accuracies and specialized group robustness methods do not appear to provide additional benefits the reviewers pointed out that the current work depends on dfr which seems to require some additional data compared to group robustne... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focuses on the understanding of the effects of adaptive learning rate and momentum in particular it proves that the adaptive learning rate can escape saddle points efficiently and cannot select fl... | the paper is aimed at providing an explaining the perceived lack of generalization results for adam as compared to sgd to this end the paper decouples the effect of adaptive per parameter learning rate and the momentum aspect of adam the paper shows that the while adaptive rates help escape saddle points faster they a... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper derives a counter term to the gradient flow ode formulation that reduces the discretization error from eulers method which is gradient descent when this correction term is expanded as a taylor se... | reviewers were unanimous in recommending that the paper be accepted and i accordingly recommend the same i encourage the authors to take into account suggestions made by reviewers so as to further improve the text in the cameraready version | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an approach for using data relabelling for metarl for better sample efficiency and to enable training on sparse reward environments specifically the proposed method combines pearl1 with a... | this paper proposes hindsight foresight relabeling hfr an approach for reward relabeling for meta rl the main contribution is a measure of how useful a given trajectory is for the purpose of metatask identification as well as the derivation of a task relabeling distribution based on this measure reviewers agreed that ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a task of joint visuallinguistic grammar induction from parallel imagetext data presents models and metrics for the task and shows strong empirical results strengths as far as i ... | this paper proposes to perform unsupervised grammar induction over imagetext pairs and used shared structure between the modalities to improve grammar induction on both sides authors find the paper clear creative and interesting and recommend acceptance without hesitation | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a selfsupervised idea for unsupervised anomaly detection specifically this framework enables highperformance ad without any labels via srr which is an ensemble approach to propose candid... | the paper worked on fully unsupervised anomaly detection and proposed to use selfsupervised representation learning to improve the performance of oneclass classification this is a borderline case close to acceptance but cannot make it specifically it is useful but its novelty is the main issue since it is not surprisin... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addressed an interesting problem of reducing the kernel to achieve cnn models which is important and attracts lots of research work however the methods dont have very good justifications for exa... | this paper points out methods to obtain sparse convolutional operators the reviewers have a consensus on rejection due to clarity and lack of support to the claims | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper summary this paper proposed a simple regularization technique for domain generalization tasks termed mixstyle based on the observation that domains are determined by image styles by mixing styles o... | all three reviewers recommend acceptance after the rebuttal stage and the ac found no reason to disagree with them the proposed method is simple and effective and the concerns raised about experimental validation and novelty seem well addressed in the rebuttal | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper unifies several variants of the graph convolutional networks gcns into a regularized quadratic optimization framework basically the function to be optimized considers both to preserve node inform... | four reviewers have reviewed and discussed this submission after rebuttal two reviewers felt the paper is below acceptance threshold firstly rev 1 and rev 2 were somewhat disappointed in the lack of analysis regarding nonlinearities despite authors suggested this was resolved in the revised manuscript eg rev 2 argued t... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper mainly studied how the negative samples can affect the model performance in supervised learning cio works through the experiments this work has a few interesting findings including the majority o... | this paper empirically studies the impact of different types of negatives used in recent contrastive selfsupervised learning methods results were initially shown on mocov2 though after rebuttal simclr was also added and several interesting findings were found including that only hardest 5 of the negatives are necessary... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a benchmark to evaluate approximators for wasserstein1 distances as loss functions in the generative adversarial network setting s1 while previous works use discrete distributions for b... | this paper proposes a new benchmark to evaluate the solution of optimal transport problems the reviewers concur that the benchmark is wellexecuted and novel some are concerned that a better benchmark for ot problems will not drive progress as the successes of wasserstein gans occur despite their failure to solve ot how... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall i found the paper wellwritten the methods appear reasonable and the math appears correct i think the case made for the importancesignificance of the method could be improved but think the paper shou... | all reviewers seems in favour of accepting this paper witht he majority voting for marginally above acceptance threshold the authors have taken special heed of the suggestions and improved the clarity of the paper from examination of the reviews the paper achieves enough to warrant publication my recommendation is t... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper takes an interesting nonconvex optimization perspective on the continual learning problem more specifically the authors pose continual learning with episodic memory as a smooth nonconvex finite s... | this work proposes to analyse convergence of episodic memorybased continual learning methods by looking at this problem through the lense of nonconvex optimisation based on the analysis a method is proposed to scale learning rates such that the bounds on the convergence rate are improved pros i agree with the reviewe... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides theory on paclearnability of outofdistribution ood detection ood detection is classification task but test data may come from unknown classes if test data come from classes known during ... | this paper studies generalization and learnability questions in the realm of outofdistribution ood detection specifically it applies pac learning to the theory of ood detection the contributions include new conceptual definitions of agnostic pac learnability of ood detection then the authors argue for studying priorunk... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an alternative to softmax attention using the sinc function the authors were wellmotivated using the sinc function from the fourier integral estimator and provided theoretical support fo... | overall the reviews about this paper are very positive the authors spent great effort engaging in discussions and improving the paper with clarifications and additional experiments we recommend accepting the paper | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper details a way of investigating the space of preimages that lead to a particular output from a relu layer with the goal of using the inverted representations as a way to understand the deep neural ... | thank you for your submission to iclr the reviewers and i unanimously felt even after some of the clarifications provided that while there was some interesting element to this work ultimately there were substantial issues with both the presentation and content of the paper specifically the reviewers largely felt that... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper develops a mean field theory for batch normalization bn in fullyconnected networks with randomly initialized weights there are a number of interesting predictions made in this paper on the basis ... | this paper provides a meanfieldtheory analysis of batch normalization first there is a negative result as to the necessity of gradient explosion when using batch normalization in a fully connected network they then provide further insights as to what can be done about this along with experiments to confirm their theore... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a new algorithm for solving neural odes each numerical solver step of the neural ode is implemented as an invertible neural network via a variant of the asynchronous leafprog in... | this paper introduced a new ode integration scheme that allows constantmemory gradient computation i was concerned that the low order of convergence of this method would make it impractical but the authors performed extensive experiments and got impressive results overall the paper addresses one of the main practical... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper revisits the design of ensemble critics in offline rl the authors argue that the common design where critics in the ensemble sharing the same pessimistic target function in learning can lead to ac... | the paper identifies a common flaw in pessimistic algorithms related to the use of shared targets and propose an alternative based on independent targets that mitigate the overlyoptimistic estimates the rebuttal has addressed a number of concerns raised by the reviewers and in particular the negative reviewer qbbn ackn... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper suggests a method for approximating the 2wasserstein gradient flow for the relative entropy the proposed particlebased method uses a neural network function approximationbased approach to estimati... | the paper proposes a sampling technique for unnormalized distributions the main idea is to gradually transform particles by following the gradient flow of the relative entropy in the wasserstein space of probability distributions the paper tackles an important problem and provides an interesting new perspective however... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a novel graph representation circuit graph integrating the heterogeneous circuit information from logic synthesis and placement to facilitate the eda design process the proposed graph st... | this paper proposes a gnn approach to eda using the construction of a circuit graph that combines geometric and topological information as well as features generated from physical properties of circuit components while reviewers have raised certain concerns some addressed already in rebuttal they all settled post rebut... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall i like this direction since this is an important open problem in rl that does not seem to be widely known i was unaware of it until i looked into the related work and could lead to improved algorith... | this paper studies the effect of the discount mismatch in actorcritics the discount used for evaluation often 1 the discount used for the critic and the discount used for the actor theres notably a representation learning argument supported by a series of experiments the initial reviews pointed out that this paper addr... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tries to prove that there is a bottleneck in feature learning for longtailed classification and data augmentation can help relieve the issues in longtail feature space three major experiments wer... | this paper investigates the role of representation learning when the distribution over the feature space has a long tail the main motivation is to determine how much of the overall learning in this case is bottlenecked specifically by representation learning the main findings are that vanilla learning gives brittle lon... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a bayesian model comparison based approach for quantifying the semantic similarity between two groups of embeddings eg two sentences in particular it proposes to use the difference betwee... | this paper presents a novel family of probabilistic approaches to computing the similarities between two sentences using bagofembeddings representations and presents evaluations on a standard benchmark to demonstrate the effectiveness of the approach while there seem to be no substantial disputes about the soundness of... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary of the paper this work presents a novel method for similarity function learning using nonlinear model the main problem with the similarity function learning models is the pairwise component of the ... | this paper presents methods to scale learning of embedding models estimated using neural networks the main idea is to work with gram matrices whose sizes depend on the length of the embedding building upon existing works like sag algorithm the paper proposes two new stochastic methods for learning using stochastic esti... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method to improve the generalization of neural networks by training them to be robust to adversarial perturbations in the statistics of the batch normalization bn layers the approach co... | the paper presents a new way of bridging the gap between models generalization and robustness by combining gradients computed on unperturbed bn statistics with gradients computed on perturbed statistics the main goal is to improve the standard generalization but the authors should clarify their definition of robustness... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the challenge of generating adversarial perturbation for a target model with no access to the model or the models training data ie target domain using a trained model and data from a sou... | this paper considers that the models training data may be not accessible when learning the attacking model and thus a more practical blackbox attack scheme beyond imagenet attack bia framework is designed all the reviewers agreed that the setting in this paper is important and helpful when designing attack methods howe... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper propose a new threat model called stability attack the goal of stability attack is to hinder model from being robust to adversarial attacks the author proposes hypocritical perturbation as a met... | this paper proposes a new threat model called stability attack which aims to hinder model from being robust to adversarial attacks the author proposes hypocritical perturbation as a method for stability attack and shows that hypocritical perturbation can indeed decrease the adversarial robustness of a model trained in ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a new baseline for attribution methods tailored to deep neural networks dnn attribution methods like integrated gradients deep lift and others require a baseline to compare to as... | this work investigates the choice of a baseline for attribution methods such a choice is important and can heavily influence the outcome of any analysis that involves attribution methods the work proposes doing 1 onevsone attribution in a sort of contrastive fashion 2 generating baselines using stargan the reviewers h... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work provides a unifying review of hardness measures for mdps that have appeared in previous rl theory bounds in tabular settings the authors have also developed a benchmark with easily estimable value... | the reviewers opinions are quite consistent towards a weak accept im not confident with the big title hardness in markov decision processes theory and practice this paper is more like a survey benchmark review instead of a research article neither the theory part or the practice part is novel enough as a research art... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper conducts an extensive set of experiments on rws and compares it against a set of benchmarks such as gmm and iwae the main contribution of the paper is the fact revealed by these experiments that ... | the paper presents a well conducted empirical study of the reweighted wake sleep rws algorithm bornschein and bengio 2015 it shows that it performs consistently better than alternatives such as importance weighted autoencoder iwae for the hard problem of learning deep generative models with discrete latent variables ac... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper tackles a very challenging problem and provides a novel approach the authors have an indepth understanding of the related works and provide a detailed review the theoretical contributions of thi... | meta review i had trouble with this paper and i have to say that i am more skeptical than the reviewers who were generally positive some of the concerns were raised by the reviewers and everybody seemed happy after the rebuttal so i will not push this any further although i expect that the authors can clarify considera... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the sample complexity for learning heuristic functions for gbfsa search on a graph with a fixed number of nodes n the analysis uses pac learning framework and the main results show the up... | strong paper studying the sample complexity of learning heuristic functions for gbfs and a the reviewers were especially impressed with the theoretical results and find the paper a worthwhile contribution to this conference | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a compression method for transformerbased encoderdecoder or language models the key idea of the proposed method is to decompose the standard parameters into a much smaller shared paramet... | dictformer is a method to reduce the redundancy in transformers so they can deployed on edge devices in the method a shared dictionary across layers and unshared coefficients are used in place of weight multiplications the author proposed a l1 relaxation to train the nondifferentiable objective to achieve both higher ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is a continuation of an original associated learning paper by kaochen 2021 it attempts to propoose new learning approach associated learning as an alternative way to backpropagation on top of the... | the authors propose a method for associative learning as an alternative to back propagation based learning the idea is to interesting the coupling between layers are broken down into local loss functions that can be updated independently the targets are projected to previous layers and the information is preserved usin... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a unifying framework for objectcentric learning bringing together a wide array of distinct methods under a single framework i personally find this flavor of manuscripts particularly usef... | this paper is relevant to the workshop and outlines an interesting connection between iterative objectcentric representation learning approaches and nested optimization as such i believe it can provide a valuable contribution to this workshop despite not having shown an immediate practical advantage of this unification... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new method of updating deep neural networks for combinatorial optimization problems during search using reinforcement learning in particular the authors show that by updating only part ... | this paper gives a framework for using learning in combinatorial optimization problems in particular active search is used to learn hueristics the reviewers thought the paper had nice conceptual contributions for this approach and that the results would be very interesting to the community | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method for the detection of adversarial examples based on identification of critical paths called effective paths in dnn classifiers borrowing from the analysis of execution paths of c... | the paper presents an approach to estimate the effective path of examples in a network to reach a decision and consider this to analyze if examples might be adversarial reviewers think the paper lacks some clarity and experiments they point to a confusion between interpretability and adversarial attacks they ask questi... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the author proposes to use a competitive multiagent setting for encouraging exploration i very much agree with most of previous reviewers and their constructive suggestions however i find a major issue wit... | the paper proposes a new method to improve exploration in sparse reward problems by having two agents competing with each other to generate shaping reward that relies on how novel a newly visited state is the idea is nice and simple and the results are promising the authors implemented more baselines suggested in ini... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of realtime semantic segmentation with transformer the authors proposed an rtformer block with two attention models to aggregate information on differentresolution features th... | reviewers agree that the proposed rtformer block and overall network architecture achieves good tradeoff between performance and efficiency on several datasets the design of gpufriendly attention and crossresolution attention improves the computational efficiency over multihead attention and well captures global contex... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of modeling sequential data based on one of the deep recurrent gaussian process drgp structures proposed by mattos et al 2016 this structure acts like a recurrent neural net... | this paper is concerned with combining past approximation methods to obtain a variant of deep recurrent gps while this variant is new 23 reviewers make very overlapping points about this extension being obtained from a straightforward combination of previous ideas furthermore r3 is not convinced that the approach is we... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes visual transformer network which encodes the relationship between all detected object instances in a frame and uses it for navigation the paper uses detr for object detection and... | this paper addresses the problem of visual object navigation by defining a novel visual transformer architecture where an encoder consisting of a pretrained object detector extracts objects ie their visual features position semantic label confidence that will serve as keys in an attentionbased retrieval mechanism and a... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes two novel methods for combinatorial blackbox optimization ie over an unconstrained binary domain based on optimistic tree search one based on a known lipschitz constant olts and another o... | this paper proposes two methods for black box optimization of lipschitz combinatorial binary functions the reviewers agree that the paper is well written the methods are sufficiently novel and that the results are of interest to the neurips community the main drawback with the paper is that reviewer n1bw felt that the ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work examines properties of neural processes np more precisely of deterministic nps and how they for finitedimensional representations of infinitedimensional function spaces np learn functions f that be... | the paper analyses the behaviour of neural processes in the frequency domain and in particular how it suppresses highfrequency components of the input functions while this is entirely intuitive the paper adds some theoretical analysis via the nyquistshannon theorem but the analysis remains too generic and it is not cle... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a new method that adaptively merges intervals to form a discrete action space where on each interval qi values are learned via deep neural networks then it applies readymethods ... | the paper considers the ope problem under the contextual bandit model with continuous action they studied the model of a piecewise constant value function according to the actions the assumption is new though still somewhat restrictive as it requires the piecewise constant partitions to be the same for all x the pr... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a class of model called monotone deep boltzmann machines where the underlying potentials are parameterized eg by cnns such that they obey some monotonicity constraint this constraint ens... | this is an interesting contribution to the boltzmann machine bm literature that makes a nice connection to deq models on a positive note reviewers found that it was wellwritten clear and interesting unfortunately there were significant concerns with the manuscript that were not fully addressed in the revision inappropr... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a theoretical analysis for batch normalization with gradient descent gdbn under a simplified scenario ie solving an ordinary least squares problem the analysis shows that gdbn converges ... | the reviewers agree that providing more insights on why batch normalization work is an important topic of investigation but they all raised several problems with the current submission which need to be addressed before publication the ac thus proposes revise and sesubmit | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose a method for dimensionality reduction of image data they provide a structured and deterministic function g that maps a set of parameters c to an image x gc the number of p... | in this work the authors propose a simple under parameterized network architecture which can fit natural images well when fed with a fixed random input signal this allows the model to be used for a number of tasks without requiring that the model be trained on a dataset further unlike a recently proposed related method... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an approach for only partially grounding classical planning tasks which are too large to be fully grounded by common grounding algorithms the approach uses machine learning techniques to... | dear authors thank you very much for your submission we are happy to inform you that we have decided to accept it and we look forward to your talk in the workshop please go over the feedback in the reviews and correct or update your papers in time for the camera ready date may 24 best regards hsdip organizers | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the network load balancing problem in data centers using multiagent rl paradigm the main goal in load balancing problems is to minimize the makespan the authors prove various propertie... | the paper received an uniformly positive evaluation although all the scores are in the borderline weak accept range the authors included a long and comprehensive rebuttal and actively participated in the discussion which made some of the reviewers updating their scores i recommend the paper to be accepted but i under... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors present an imaginary coordinator agent that executes graph selection as its action based on possible combinations of pairwise edges and the underlying individual and pairwise utilities the results s... | description of paper content the paper studies the problem of achieving coordination among a group of agents in a cooperative multiagent task coordination graphs reduce the computational complexity of this problem by reducing the joint value function to a sum of local value functions depending on only subsets of agent... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work introduces a novel approach to tackling object rearrangement the main idea is to learn a scoring function in the form of a gradient field the learned gradient field could be used by a modelbased p... | after a strong rebuttal from the authors and an extensive discussion among the reviewers i believe this work will be a valuable contribution to neurips i recommend it for acceptance and encourage the authors to address the reviewers comments for the cameraready version of the paper especially the point about the simpli... | [
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