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:
new definitions and evaluations for saliency methods introduces intrinsic evaluation metrics for saliency methods completeness and soundness that do not require additional models or human evaluation these... | the paper introduces and formalizes new evaluation metrics to ensure goodness of saliency methods reviewers consensus about the paper was positive they found that the paper contributions are clear and significant and also appreciated the paper originality i therefore recommend acceptance | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is well written in this paper the author proposed an embased algorithm diem for set representation learning the author first provides the equivalence between the otke representation learning algor... | this work proposes a new embedding for sets of features a set is represented by the output means of an em algorithm for fitting the input set with a mixture of gaussians the authors draw a new connection to an existing method for set embedding otke moreover their method achieves good experimental results there is gene... | [
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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 that spiking neural networks are not suitable for traditional adversarial robustness analysis methods and proposes linear relaxations for the membrane potential and spikes of snns these... | this paper applies existing certificationbased adversarial robustness techniques to spiking neural networks they achieve this through upper and lower relaxations of the spiking equations review scores were high variance ranging from 4 through 8 reviews were generally of high quality the largest concern was that the us... | [
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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 framework hyperdynamics that takes in observations of how the environment changes when applying rounds of interactions and then generates parameters to help a learningbased d... | this paper proposes hyperdynamics a framework that takes into account the history of an agents recent interactions with the environment to predict physical parameters such as mass and friction these parameters are fed into a forward dynamics model represented as a neural network that is used for control pros addresse... | [
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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 knn algorithm when applied to multiclass classification with a few samples the authors develop algorithms by formulating a distributionally robust variant of knn where each nearest n... | the reviewers conclude on an interesting paper especially pjnq with substantial results that justify its acceptance i can only recommend to include all of the discussion parts in the camera ready 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 presents a maximally expressive parametersharing scheme for hypergraphs and in general when modeling the high order interactions between elements of a set this setting is further generalized to mu... | the paper provides a comprehensive study and generalisations of previous results on linear permutation invariant and equivariant operators layers for the case of hypergraph data on multiple node sets reviewers indicate that the paper makes a particularly interesting and important contribution with applications to grap... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this submission proposes an ensemble framework to improve learning disentangled representations with variational autoencoders vaes the approach builds on the assumption that entangled latent repres... | this paper proposes to use an ensemble of vaes to learn better disentangled representations by aligning their representations through additional losses this training method is based on recent work by rolinek et al 2019 and duan et al 2020 which suggests that vaes tend to approximate pcalike behaviour when they are trai... | [
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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 the problem of restricted class unavailability after a deep learning model has already been trained on such restricted classes and the aim is to remove any information pertaining to the re... | the paper proposes a technique to efficiently retrain a model when a small number of classes are required to be removed reviewers in general like the paper but the key issue is motivation for the problem the motivating examples in the rebuttal are not very good because a authors do not provide any evidence that such s... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper demonstrates a rank diminishing behavior of deep neural networks considering the mapping from the input space to the feature space of an increasingly deeper intermedate layer theoretically it pr... | this paper studied the rank of neural networks and showed that deeper network in general will have lower rank the paper did a detailed empirical study on network rank as well as some theoretical insights on why rank is likely to decrease as the network becomes deeper and how the rank decrease can change with or without... | [
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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 based on the sign agnostic learning sal method for capturing signed distance functions with neural networks it extends this method by incorporating derivative information which interestingly c... | congratulations the reviewers unanimously viewed this work positively and were in favor of acceptance to iclr while the current revision already addresses many reviewer concerns it may be worth adding some of the datasets pointed out by r3 or comparing to some of the papers suggested by r1 | [
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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 to predict when and which two nodes in a graph community will be linked ie when and what event will happen rather than taking the whole graph into account the paper first leverag... | we agree with the ac that this paper is ready for publication we encourage authors to incorporate suggestions for clarity improvements in particular those mentioned by reviewer xrhc | [
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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 new convolutional and pooling operators for protein structures these components are used to design an architecture that shows strong performance on several downstream tasks the main str... | protein molecule structure analysis is an important problem in biology that has recently become of increasing interest in the ml field the paper proposes a new architecture using a new type of convolution and pooling both on euclidean as well as intrinsic representations of the proteins and applies it to several standa... | [
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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 presents rates of convergence for estimating nonparametric functions in besov spaces using deep nns with relu activations the authors show that deep relu networks unlike linear smoothers ... | the paper extends the results in yarotsky 2017 from sobolev spaces to besov spaces stating that once the target function lies in certain besov spaces there exists some deep neural networks with relu activation that approximate the target in the minimax optimal rates such adaptive networks can be found by empirical risk... | [
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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 method to enhance the global coherence of text generated from language models the proposed method time control under the assumption in the latent space of sentence embeddings the inc... | all reviewers found that the proposed lm with brownian motion is interesting and novel several reviewers raised minor concerns about experiments but have been generally resolved by the authors | [
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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 explanation type called subgoalbased explanations in the setting of suboptimal and nonrobust intelligent decision support systems ids the aim of the explanation type is to serve as... | the paper proposes a novel approach for generating explanations for suboptimal ids systems both reviewers agree that that the methods described are technically sound and the paper is in a fairly mature stage it would be a valuable addition to the workshop as you move forward we suggest you take into account the revie... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce two strategies for predicting interatomic potentials the first one is based on label augmentation in this case an auxiliary training is performed to classify the bestperforming physics... | this paper proposes two strategies for injecting domain knowledge into neural networks for predicting material propreties these strategies lead to substantial accuracy gains all reviewers had positive feedback on the paper and their suggestions helped improving the paper and the experiments accept | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to facilitate feature learning in nn models by exploiting more from reliable examples this is very similar to selfpaced learning where the model learns from the easier samples at first and ... | the paper proposes an interesting idea using reliable samples to guide the learning of less reliable samples the experimental results and detailed analysis show clear improvement in object detection especially small objects on the weak side the paper seems to focus quite heavily on the object detection problem and how... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
let me note that i have very little expertise in quantization and so cannot really judge the significance of such contributions i am however very familiar with the gnn literature summary a method to train... | the paper presents a quantization aware training method for gnns the problem is very well motivated the method is wellexecuted and experiments are also well designed the paper does seem relatively low on technical novelty all the reviewers are positive about the paper and the paper has certainly improved significantl... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses a timely topic for identification of samples which are outofdistribution at test time the approach is evaluated for a segmentation task and delivers promising results their method is com... | the paper proposes a method to indicate when a test sample differs from those in the training distribution thus by detecting such ood test cases the proposed method aims to raise a flag that the learned method cannot be used on such ood test data as the reviewers have pointed out this is an important limitation of curr... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i really liked this paper and believe it could be useful to many practitioners of nlp conversational ml and sequential learning who may find themselves somewhat lost in the everexpanding field of dynamic ne... | this paper presents a taxonomic study of neural network architectures focussing on those which seek to map onto different part of the hierarchy of models of computation dfas pdas etc the paper splits between defining the taxonomy and comparing its elements on synthetic and nlp tasks in fact babi which is also synthetic... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to provide theoretical understanding for contrastive learning where similar pairs of points x and x are encouraged to have similar representations through an infonce inspired objective funct... | the paper under review provides a theoretical analysis for contrastive representation learning the paper proposes a guarantee on the performance specifically upper and lower bounds without resorting to previously used conditional independence assumptions throughout the theoretical results and assumptions are supported ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary in this paper the authors propose to replace commonlyused shootingbased methods for action sequence planning in learned latentspace dynamics models by a collocationbased method they argue that shoo... | this work applies collocation a well known trajectory optimization technique to the problem of planning in learned visual latent spaces evaluations show that collocationbased optimization outperforms shooting via cem planet and shooting via gradient descent pros i agree with the reviewers that this idea makes sense ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper performs an exhaustive empirical study to propose model patching where the goal is to improve accuracy for openvocabulary models on specific tasks ie patching tasks without degrading accuracy on ... | the reviewers had some concerns about clarity of motivation and baselines my own opinion is that this work is valuable for the community because of the simplicity of the method and depth of experiments | [
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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 transformerbased method for vehicle trajectory forecasting it proposes to combine the tasks of global localization and local refinement for more accurate trajectory forecasting on the ... | this paper proposes to model traffic vehicles using a transformerbased architecture for iteratively refining multimodal trajectory predictions while the method is related to and builds upon several similar works in the area it does also introduce some interesting new components such as the iterative refinement and the ... | [
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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 particlebased state estimation under the presence of unknown observation and transition models this is challenging for a number of reasons in particular due to the nondifferentiable ... | the authors propose a multiobject state space estimation approach based on particle filters where the gradients are computed through the fischers identity strength clear story and well motivated to avoid biased or high variance gradient approximation wellstructured paper comparison to two baseline methods... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
hyperbo assumes the tasks are independent given the hyperparameters unlike typical metalearning approaches which assume tasks are related this allows for an efficient kronecker decomposition of the kernel ... | this paper claims a practical improvement over one of earlier meta bo methods warmstarting bo or hpo by making use of data from past experiments or tasks seems to be interesting and useful for some applications in fact there are a large amount of work on this topic but a lot of relevant prior work is ignored in this pa... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall this paper proposed soft decoupled encoding sde a special multilingual lexicon encoding framework which can share lexicallevel information without requiring heuristic preprocessing experiments for l... | although some may find the proposed approach as incremental over eg gu et al 2018 and kiela et al 2018 i believe the authors clear motivation formulation experimentation and analysis are solid enough to warrant the presentation at the conference the relative simplicity and successful empirical result show that the prop... | [
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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 new loss function for survival analysis based on proper scoring functions to less then penalty wrong predictions that are confident make under the logloss the paper is interesting howev... | all reviewers agree to reject while there were many positive points to this work reviewers believed that it was not yet ready for acceptance | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors extend the dabs benchmark 1 to include five more datasets the new datasets are carefully chosen to cover a variety of underserved domains i bacterial genomics ii semiconductor wafe... | dabs 20 extension of dabs to include five more datasets and serves as benchmark for selfsupervised representation learning the new datasets cover new domains such as genomics industrial images biology satellite imagery etc in addition two new selfsupervised learning methods are evaluated and their robustness to domains... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
interesting work the imbalance problem is essential problem for machine learning and its applications even though many works focus on foregroundbackground class imbalance problem such that polyp detectiontw... | the paper receives overall positive comments from four knowledgeable and independent reviewers they all like the novelty of the proposed work in addressing imbalanced sampling one of the most serious issues in medical image analysis however they also share the common concern that is lack of sufficient validation curre... | [
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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 problem of generative modeling by using langevin dynamics to sample from the denoising score function recently this family of approaches song and ermon 2019 song and ermon 2020 has sh... | this paper introduces an alternative to langevin sampling and also the idea of adversarial score sampling the reviewers are generally supportive of the paper pros the idea behind improving langevin sampling is theoretically justified and leads to a simple algorithm the idea behind adversarial score matching is als... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper designs an equation ie equation 5 in the paper to measure the impact or contribution of each participantagent in federated learning the designed measurement method is applied to attention aggrega... | although this paper tackles an important problem all reviewers agree that it requires further work before it can be published first the paper would need to be polished in order to be easier to read stronger experiments would also be needed in order to support the claims of the paper eg by considering additional dataset... | [
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390,
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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 another variant of phrasebased mt for african languages involving native speakers for manual annotations instead of just using subwords or statistical phrase identification the authors ... | the authors investigate different tokenization methods for the translation between french and fon an african lowresource language lowresource machine translation is a very important topic and it is great to see work on african languages we need more of this unfortunately the reviewers unanimously agree that this work... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in the paper rotograd is proposed as a new gradientbased approach for training multitask deep neural networks based on gradnorm gradnorm is first formulated as a stackelberg game where the leader aims at no... | the paper is proposing a novel representation of the gradnorm gradnorm is presented as a stackelberg game and its theory is used to understand and improve the convergence of the gradnorm moreover in addition to the magnitude normalization a direction normalization objective is added to the leader and a rotation matrix ... | [
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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 effort of anisotropic noise in stochastic optimization algorithms the goal is to show that sgd escapes from sharp minima due to such noise the paper provides preliminary empirical res... | the reviewers point our concerns regarding papers novelty theoretical soundness and empirical strength the authors provided to clarifications to the reviewers | [
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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 deeply supervised fewshot learning model via ensemble achieving stateoftheart performance on miniimagenet and tiredimagenet the authors first studied the classification accuracy on min... | this paper introduces an ensemble method to fewshot learning although the introduced method yields competitive results it is fair to say it is more complicated than much simpler algorithms and does not necessarily perform better given that ensembling for fewshot learning has been around for a while it is not clear tha... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
seems like the most direct way to estimate mutual information using a classifier i like this work because it is much more straightforward than the prior work such as mine it shows sufficient performance on ... | in the paper the authors propose a new method for estimating the mutual information based on a neural network classification that is fairly straight forward the proposed method compares relatively well with known methods for estimating mutual information with a very large number of samples the main issue of this classi... | [
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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 to use categorical grammars cg to model learned protocols in emergent communication inspired by work on ccgs for natural language they use cgi to learn a lambda calculus that ca... | this paper takes on the difficult task of a new metric for compositionality both reviewers found the idea of categorical grammar novel and interesting and would like to see it pursued further we accept this paper and look forward to discussions on this topic and future work | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a method for making user data unusable for training machine learning models it focuses primarily on image data the basic idea is to use errorminimizing noise in this paper the author ... | the paper proposed a novel methodology for protecting personal data from unauthorized exploitation for training commercial models the proposal is conceptually intuitive and technically motivated it goes to the opposite direction of adversarial training by adding certain errorminimizing noise rather than errormaximizing... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthe authors introduce cell2state an algorithm that incorporates both genetic barcoding coupled with singlecell sequenced data to model explicit state transitions of cell dynamics over time singlecell ... | while the problem tackled in this paper is interesting there is a consensus among reviewers that the writing of the paper does not allow the reader to fully understand the method developed nor the biological context and results obtained by the method we encourage the authors to take into account the reviewers comments ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
based on a dynamic system perspective this paper characterizes the convergence of gradient penalized wasserstein gan the analytic framework is similar to the one used in nagarajan kolter but requires very ... | all three reviewers expressed concerns about the assumptions made for the local stability analysis the ac thus recommends revise and resubmit | [
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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 transfer learning strategy for improving compositional generalization of semantic parsers based on pretrained language models before finetuning the model on data from the target domain... | the authors attempt to tackle the problem of compositional generalization ie the problem of generalizing to novel combinations of familiar words or structures the authors propose a transfer learning strategy based on pretraining language models the idea is to introduce a prefinetuning task where a model is first train... | [
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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 conservative smoothing technique by adding perturbation to the states to improve the robustness of learned policy on offline rl theoretically they claim their work enjoys a tighter sub... | all reviewers agree that the authors response has addressed their primary concerns reviewer frmm had two reservations that resulted in a borderline rating 1 concerns about how the adversarial samples were generated and 2 a request for evaluation on antmaze the authors followup response and further experiments address 1... | [
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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 dnn quantization with attention dqa which uses a learnable linear combination of high medium and lowbit quantization at the beginning it gradually converges to a single lowbit quantizati... | this paper proposes a new learning procedure for quantizing neural networks basically dqa method proposed in this paper uses attention to obtain a linear combination of the existing network quantization techniques and uses it to pursue more efficient quantization overall it seems the submission was written in haste so... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
new tool for inferring underlying properties of partially observed spiking neural networks generalization of the fully observable solution by rene et al based on mean field modeling on net effect of unobser... | dear authors congratulations on your paper being accepted the reviewers unanimously recommended acceptance the reviewers made a number of recommendations on how to improve the paper further in particular with respect to clarity of writing and explaining the motivation behind different analyses we strongly encourage y... | [
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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 fast general framework fnas for neural architecture search nas problem to enhance the processing efficiency up to 10x times three interesting strategies uac lkp aeb for reinf... | this paper presents a compelling mechanism for reducing the neural architecture search process based on accumulated experience that the reviewers found compelling with significant improvements in performance this is an intriguing idea however there were concerns about clarity that need to be addressed and more concer... | [
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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 nas optimization algorithm for snn search the authors present interesting results with the differentiable nas search there are two major works related to nas for snns that has been rece... | this paper proposes a new architecture search algorithm for spiking neural networks snns the key insight is to optimize both the cell and the architecture level of the snn convincing numerical results are provided on image classification tasks cifar10 cifar100 and an eventbased stereo task one concern raised by the 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 presents a very preliminary first step into designing a foregroundbackground cnn that is robust to adversarial attacks the authors of the paper have not properly quantifiedwhile the intention of ... | this manuscript proposes an information fusion approach to improve adversarial robustness reviewers agree that the problem studied is timely and the approach is interesting however note concerns about the novelty compared to closely related work the quality of the presentation the strength of the evaluated attacks comp... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper formulates the disentanglement problem from an information theoretic perspective but focusing on an objective that encourages a compositional disentangled feature space on the layers that precede... | this paper proposes an algorithm for achieving disentangled representations by encouraging low mutual information between features at each layer rather than only at the encoder output and proposes a neural architecture for learning empirically the proposed method achieves good disentanglement metric and likelihood reco... | [
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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 exploration efficiency issues in offpolicy deep reinforcement learning drl the authors identify a sample efficiency limitation in the classical entropy regularization which does not... | first id like to thank both the authors and the reviewers for extensive and constructive discussion the paper proposes a generalization of sac which considers the entropy of both the current policy and the action samples in the replay pool the method is motivated by better sample complexity as it avoids retaking action... | [
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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 sensorfusion approach that provides interpretable intermediate representations of the world scene the approach can fuse multiview rgb images along with lidar scans the network archit... | this paper proposes a new sensorfusion approach that provides interpretable intermediate representations of the world scene and a safetyenhanced feature for autonomous driving the authors propose to fuse multiview rgb images along with lidar scans the feature extraction part is also enhanced with the planning and contr... | [
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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 hcm an approach for chunking a sequence of data into a hierarchical representation more specifically hcm learns a tree with atomic units ie the lowlevel inputs in this case integers repr... | this paper develops an approach to learning hierarchical representations from sequential data the reviewers were very positive about the overall approach finding it well motivated and interesting with strong potential and thought that the paper was extremely well written with clear examples throughout there was a good ... | [
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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 new gradientbased framework for learning invariant mechanisms often called relations in the paper from data drawn for multiple environments data generating processes overall the writin... | this paper proposes a new framework for improving supervised learning via invariant mechanisms the reviewers agree that overall this paper is wellwritten and contributes to a growing body of work on invariant prediction and causality in supervised learning at the same time there are some concerns regarding novelty and ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros clustering sequence vectors is a practical and useful problem some of the business usecases described in the paper are indeed useful and relevant for analytics in healthcare and retail cons the pape... | all reviewers agree to reject while there were many positive points to this work reviewers believed that it was not yet ready for acceptance | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the paper provides an interesting solution to achieve better performance in both id and ood settings 2 the paper is wellwritten and easy to follow 1 the motivations of the assumptions definitions are not... | meta review the reviewers found the paper to be of highquality the idea is simple to implement yet novel and insightful the experimental evaluation is solid and the results are strong the paper is wellwritten and gives good intuition about the results and their interpretation during the review and discussion phases sev... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the barren plateau phenomenon is a vanishing gradient effect that arises in sufficiently randomly initialized parameterized quantum circuits specifically the norm of the gradient falls exponentially with th... | the authors propose a new random initialization of quantum neural networks which could avoid generating vanishing gradients specifically the new random gaussian initialization scheme will depend on the shape of the ansatz so that the norm of the gradient decays at most polynomially when the qubit number and the circui... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this contribution describes a novel approach for implanted brainmachine interface in order to address calibration problem and covariate shift a latent representation is extracted from seeg signals and is th... | bmis need perpatient and persession calibration and this paper seeks to amend that using vaes and rnns it relates seeg to semg in principle a tenyear old approach but do so using a novel adversarial approach that seems to work the reviewers agree the approach is nice the statements in the paper are too strong but pub... | [
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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 method for unsupervised alignment of word across multiple languages in particular they extend an existing unsupervised bilingual alignment to the case of multiple languages by adding c... | this paper provides a simple and intuitive method for learning multilingual word embeddings that makes it possible to softly encourage the model to align the spaces of nonenglish language pairs the results are better than learning just pairwise embeddings with english the main remaining concern in my mind after the au... | [
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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 introduce a novel transformer or network architecture termed as focal modulation network focalnet deals with the problem of efficient longrange feature modeling different from wind... | all the reviewers acknowledge that the paper is wellwritten novel and shows strong performance gain besides all the reviewers are satisfied with the authors response to the raised concerns ac doublechecks the paper reviews and response and finds that the paper is wellshaped and generally flawless ac recommends acceptan... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the work extends an existing algorithm to train a convolutional neural network by selecting a subset of fixed random weights by 1 using multiple random values per weight 2 using a sampling procedure... | the idea behind this paper is to develop a training algorithm that chooses among a fixed set of weights for each true weight in a neural network the results are reasonable though difficult to quantify as either good or surprising performance from the algorithm a perhaps interesting point is that additional finetunin... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to solve the problem of humanmachine interface with supervision or prior knowledge about the users desired tasks this is challenging due to the large space of interface designs this paper pr... | the paper describes an approach to learning an adaptive user interface ie mapping raw inputs to the agents actions in an unsupervised way via reinforcement learning the goal is to learn interfaces that are intuitive for the user with the supposition that the users inputs become less noisy as the interface becomes more ... | [
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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 framework to treat denoising diffusion probabilistic models ddpms as solving differential equations on manifolds this goal is faster sampling without significant loss of quality i th... | this paper presents a new ddpm model based on solving differential equations on a manifold the resulting numerics appear to be favorable with faster performance than past models most of the reviews thought the main result was of interest and were impressed with the performance reviewer c9by points out some challengi... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed method has been evaluated on several benchmarks the idea is simple and the proposed method achieves a performance improvement on several benchmarks about the motivation the key motivation is... | meta review ac read the paper reviews and responses ac appreciates the simple and effective stackmix method that surpasses all existing baselines though the average rating is below the acceptance bar ac still recommends acceptance due to the comprehensive experimental results that may shed light on future research in ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a new benchmark for comparing and contrasting deep learning knowledge tracing models this benchmark is motivated by the observation that the research community is busy creating a variet... | this work develops a pythonbased benchmark platform pykt that implements several deep learning based knowledge tracing models the research is well motivated and the paper is well written the experimental section is also thorough and provides procedures for handling several popular datasets across different domains the ... | [
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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 multisource domain adaptation msda problem the authors argue that the existing msda solutions 1 do not explicitly consider distribution conditioned on labels of each domain 2 rely on ... | in this paper the authors proposed a solution to the problem of multisource domain adaptation all the reviewers have two concerns 1 the technical contributionnovelty is limited and 2 the experimental results are not convincing therefore this paper does not meet the standard of being published in iclr the authors are en... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper looks at lstms with the intention of understanding their functional connectivity i am not sure exactly what the relationship between the brain and lstms is being assumed or proposed herein howev... | this paper applies methods inspired by neuroscience to analyze the inner workings of lstm language models in particular a simple and clever approach is proposed in which a sentence is presented in its observed context vs a random one the time for a unit activation to become similar in the two contexts is used as a prob... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper explores an alternative loss function for fitting critic in reinforcement learning instead of using the standard mean squared loss between critic predictions and value estimates the authors propos... | this paper is accepted however it could be much stronger by addressing the concerns below the theoretical analysis of the proposed methods is weak as far as i can tell the proposition has more to do with the compatible feature assumption than their method furthermore the compatible feature assumption is very strong 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 presents a method to transfer policies between different mdps based on the minimization of gromovwasserstein distance this distance provides a pseudoreward that can be used to learn via rl the op... | all reviewers suggested acceptance of the paper based on that the paper addresses an important problem and presents and validates interesting ideas for approaching it therea are some concerns regarding limited experiments id like to encourage the authors to make an effort to address these concerns and also a few other... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
interesting idea applying the representation invariance capability of deep sets to mosaics of patches extracted from a whole slide image the method was compared with a stateoftheart search engine with compe... | initially the majority of reviewers suggested a weak rejection after the rebuttal one reviewer changed their opinion to weak accept giving an even split between weak reject and weak accept i do think the authors did an adequate rebuttal specifically the new experiment on lung cancer to compare against the stateoftheart... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
knowledge of the underlying graph is not required to estimate spaceiv the results section is fairly comprehensive and investigates violations of the assumptions and compares against an existing approach an... | meta review i thought the paper provides a novel family of assumptions concerning iv estimation with a large and structured treatment variable results are of much relevance to the uai community however some of the technical parts of the paper need to be cleared from minor but distracting mistakes the graphical characte... | [
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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:
the paper describes a new loss function for training that can be used as an alternative to maximum likelihood cross entropy or as a metric that is used to finetune a model that is initially trained using ml... | this paper proposes a new loss function that can be used in place of the standard maximum likelihood objective in training nmt models this leads to a small improvement in training mt systems there were some concerns about the paper though one was that the method itself seemed somewhat heuristic without a clear mathema... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows that the problem of defending mnist is still unsuccessful it hereby proposes a model that is robust by design specifically for the mnist classification task unlike conventional classifiers ... | the paper presents a technique of training robust classification models that uses the input distribution within each class to achieve high accuracy and robustness against adversarial perturbations strengths the resulting model offers good robustness guarantees for a wide range of normbounded perturbations the aut... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work presents a study on applying 1 combining pseudolabeling with entropybased label filtering for representation learning and 2 novelnovel and basenovel manifold mixup with entropybased filtering for ... | the submission introduces an approach to fewshot learning called fewshot learning with hard mixup felmi which as its name suggests applies hard manifold mixup as an augmentation strategy for adapting a pretrained model to a small training set of downstream examples the model is first trained on the base classes using 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 proposes a loss to relax the assumption of using a fixed k for topk classification learning the authors use the existing differentiable sorting and ranking operators experimental results also ach... | the main consensus among the reviewers was that although the approach is interesting this submission suffers from two main weaknesses the methodology is not very novel and the proposed parts of the method not well justified in particular regarding the interplay of a differentiable sorting approach and of the random c... | [
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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 a continuous version of the classical hopfield network hn modelin contrast to well studied discrete models where the patterns vectors that are stored are discrete this paper studied co... | the novelty of the paper are introduces a new hopfield network with continuous states hence can be learned endtoend differentiation and back propagation derives efficient update rules reveals a connection between the update rules and transformers illustrate how the network can be used as a layer in deep neural netw... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work tackles the problem of learning linear sorting functions with bounded noise under gaussian martingales the proposed algorithms enjoy strong theoretical sampling guarantees and a polynomial runtime... | the reviewers are unanimous in their strong positive opinion on this paper the authors have given the first efficient algorithms for learning noisy linear sorting functions with theoretical guarantees a relevant and useful problems setup for the neurips community the reviewers consider the paper clear and wellpresent... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary of paper this paper presents an approach for quantising neural networks such that the resulting quantised model is robust to adversarial and random perturbations the core idea of the paper is to en... | the reviewers agree the paper brings a novel perspective by controlling the conditioning of the model when performing quantization the experiments are convincing experiments we encourage the authors to incorporate additional references suggested in the reviews we recommend acceptance | [
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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 algorithm for computing an approximation of the posterior and marginal likelihood by analysing the sequence of programs using neural networks as well as a metaalgorithm for learning t... | the paper presents a metaalgorithm for learning a posteriorinference algorithm for restricted probabilistic programs while the reviews agree that this is a very interesting research direction they also reveal that there are several questions still open one reviewer points out that there learning to infer should take bo... | [
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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 important and interesting approach on fully decentralized marl fully decentralized qlearning is highly applicable to realistic and realworld applications the method is evaluated exten... | the paper presents a novel method for dealing with nonstationarity in decentralized multiagent reinforcement learning marl while there are some concerns about the level of novelty the approach is interesting and presented well there are also concerns about the discussion and comparison with the stateoftheart in decentr... | [
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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 varianceinvariancecovariance regularization technique for selfsupervised learning the loss function used in the paper consists of three terms the invariance term encouraging samples wi... | this paper presents a selfsupervised learning method for the multimodal setting where each modality has its own feature extraction mapping and i the extracted features shall be close for paired data ii in the feature space each view has close to diagonal covariance while iii the scale for each feature dimension is con... | [
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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 to scalably compute wasserstein2 barycenters given samples from input measures in general the authors also allow for continuous measure settings inspired by li et al 2020 the pa... | the authors propose the 2wasserstein barycenter problem between measures the authors propose a novel formulation that leverages a condition congruence that the optimal transport monge maps here parameterized as potentials must obey at optimality the introduce various regularizers to encourage that property the idea is ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores the task of finding discrete adversarial examples for current dialog models in a post hoc manner ie once models are trained in particular the authors propose an optimization procedure fo... | this work examines how to craft adversarial examples that will lead trained seq2seq models to generate undesired outputs here defined as assigning higherthanaverage probability to undesired outputs making a model safe for deployment is an important unsolved problem and this work is looking at it from an interesting ang... | [
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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 machine learning method for classification called fuzzy learning machine the paper draws from concepts from cognitive science to derive a method based on fuzzy similarity relations... | the paper proposes an approach for the design of neural networks for classification based on fuzzy theory and a specific implementation is presented and experimentally assessed arguments from cognition to justify the proposed approach are also used although at the level of inspiration the lack of reference to fuzzy sys... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows that significant speedup gains can be achieved by using klregularization with information asymmetry in sparsereward settings different from previous works the policy and default policy are... | strengths the paper introduces a promising and novel idea ie regularizing rl via an informationally asymmetric default policy the paper is well written it has solid and extensive experimental results weaknesses there is a lack of benefit on densereward problems as a limitation which the authors further acknowledg... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper analyzes the global minima of deep linear networks with weight decay under the assumption of linear architecture l2 regularization and population risk the paper takes advantage of the symmetry an... | there is a clear consensus amongst the reviewers that the manuscript advances the theory for linear deep networks to a degree warranting acceptance at neurips the authors responded well to the issues raised by the reviewers which results in increased support by the reviewers that the manuscript be accepted inclusion ... | [
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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 new methods for inference and sampling for archimax copulas archimax copulas are a family of copulas defined through an archimedian generator and a stable tail dependence function stdf i... | the paper proposes a new method for inference and for sampling in archimax copulas all the reviewers praised the soundess and clarity of the paper the novetly of the ideas and the experimental results copulas might not be one of the core topics of the neurips community but the reviewers pointed out that 1 the authors d... | [
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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 square loss in a realizable timeseries framework the main result shows that whenever a trajectory hypercontractivity condition holds the risk of least squares estimator on dependent data ... | this paper studies the problem of learning under dependent data existing bounds usually work by deflating the effective sample size by a factor that depends on the mixing time essentially when the samples are far enough away from each other depending on the mixing time they can be treated as independent this paper intr... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 strength targeting an important problem of fl reducing the communication cost 2 weakness this work simply applies the metalearning method into the federated learning setting i cant see any technical c... | this paper proposes a metalearning based fewshot federated learning approach to reduce the communication overhead incurred in aggregating model updates the use of metalearning also gives some generalization benefits the reviewers think that the paper has the following main issues see reviews for more details limited 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 studies goalconditioned hierarchical rl gchrl and proposes a new algorithm called hierarchical exploration approach with stable subgoal representation learning hess to improve the stability of sub... | the paper proposes a new goalconditioned hierarchical rl method aimed at improving performance on sparse reward tasks compared to prior work the novelty lies in a new way of improving the stability of goal representation learning and in an improved exploration strategy for proposing goals while taking reachability into... | [
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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 a framework for performing both differentiable physics simulations and differentiable rendering this fully differentiable simulation and rendering pipeline is then employed to ... | this paper presents a framework for joint differentiable simulation of physics and image formation for inverse problems it brings together ideas from differentiable physics and differentiable rendering in a compelling framework | [
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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 new concentration of measure inequality for sum of independent bounded random variables namely splitkl inequality they derive this new inequality by combining klinequalities 1 and 2 in... | this meta review is based on the reviews the authors rebuttal and the discussion with the reviewers and ultimately my own judgement on the paper there was a consensus that the paper contributes an interesting new concentration of measure inequality and derive a useful pacbayes inequality i feel this work deserves to be... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work claims to propose a general methodology for approximating offline algorithms in online settings in contrast to previous methods only for particular cases to achieve this the author prosed a multit... | a brief summary this paper uses offline algorithms that can see the entire timeseries to approximate the online algorithms that can only view the past timeseries the way this is done is basically the offline algorithm is used to provide discrete class targets to train the online algorithm the paper presents results on... | [
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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 internal working of rnn by mapping its hidden states to the nodes of minimal dfas that generated the training inputs and its abstractions authors found that in fact such a mapping e... | this paper presents experiments showing that a linear mapping existing between the hidden states of rnns trained to recognise rather than model formal languages in the hope of at least partially elucidating the sort of representations this class of network architectures learns this is important and timely work fitting ... | [
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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 modification of the saliency mapgradient approach to explain neural networks method summary the approach is as follows for each layer the gradient wrt its input layer is computed for... | this work proposes a modification of gradient based saliency map methods that measure the importance of all nodes at each layer the reviewers found the novelty is rather marginal and that the evaluation is not up to par since its mostly qualitative the reviewers are in strong agreement that this work does not pass the ... | [
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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 predicting the segmentations and poses position yaw orientation of multiple objects given the image of a scene the paper introduces a method that is trained without superv... | this paper tackles the difficult problem of learning to segment objects from an image using no supervision during training the paper is clearly written and a new synthetic dataset is made available unfortunately the reviewers raised a number of issues with the submission missing citations and comparison to relevant rel... | [
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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 input length extrapolation for transformer language models ie how transformer lms perform on test sequences that are longer than training sequences the paper finds that how positions are ... | this submission proposes a simple efficient and effective position representation method for the transformer architecture called alibi alibi enables better extrapolation and performance in terms of efficiency and task performance the submission also includes careful analysis and extensive experiments and notably sugges... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work automatically selects a best detection model while simultaneously controlling the false discovery rate the experimental results shows that the proposed method can control the false discovery rate ... | the paper proposes a method for finding the best anomaly detector among a set of candidate methods that are all based on constructing a score function the selection method is based on a leaveoneout estimate some theoretical results are presented and proven in the appendix and in addition some experiments are reported ... | [
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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 novel neural representation of an given image which decomposes k object instances from background so various tasks such as rerendering rearrangement etc the learning process is first ... | this paper develops a method for decomposing scenes into objectspecific neural radiance fields after the discussion phase two reviewers support acceptance empirical results on multiple synthetic datasets and benchmarks appear convincing the rebuttal also added an initial demonstration of generalization to real images | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studies the question to what extend a reparametrization of an optimization problem ie representing the original parameters w to optimize for as a function of some other parameters theta can accele... | this paper proposes speeding up certain optimization problems common in physics by reparameterizing their parameters as the output of a graph neural network the reviewers appreciate the idea but are not convinced enough to recommend the paper for acceptance they point out the following weaknesses the method amounts to... | [
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