Paper_ID stringlengths 10 10 | Question stringlengths 201 1.81k | ocr_output stringlengths 252 54k ⌀ |
|---|---|---|
rEQ8OiBxbZ | Could you elaborate on how the local structures are reconstructed? What serves as the input for this process: a single embedding from the TokenGT-3D output, or a collection of embeddings from local structure segmentations within a single molecule? | 3D Molecular Pretraining via Localized Geometric Generation
Anonymous authors
Paper under double-blind review
Abstract
Self-supervised learning on 3D molecular structures has gained prominence in AI-driven drug discovery due to the high cost of annotating biochemical data. However, few have studied the selection of ... |
s6bKLlF4Pe | I am doubtful about the significance of convergence results. The convergence result with GPI follows the same rate as the convergence rate without GPI. It is hard to tell directly what is the difference in the constants. Having a thorough discussion with some examples would serve to give readers a better understanding ... | Proviable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
Anonymous authors
Paper under double-blind review
Abstract
This paper studies the transfer reinforcement learning (RL) problem where multiple RL problems have different reward functions but share the same underlying transition dynam... |
xC8xh2RSs2 | The paper uses exact keyword matching to identify corresponding subsections. Thus it's hard to know the proportion of dataset cards which covers the corresponding subsection but with different keywords. | Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face
Xinyu Yang *
Cornell University
xy468@cornell.edu
Weixin Liang*
Stanford University
wxliang@stanford.edu
James Zou
Stanford University
jamesz@stanford.edu
Abstract
Advances in machine learning are closely tied to the c... |
Kz3yckpCN5 | The implicit assumption of this work (revealed in the title) is that there exists a claim or understanding that imitating proprietary language models by sampling their outputs for training is all that is needed to achieve performance parity - however, I contend that this isn't the prevalent understanding. | THE FALSE PROMISE OF IMITATING PROPRIETARY LANGUAGE MODELS
Arnav Gudibande*, Eric Wallace*, Charlie Snell*
Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song
UC Berkeley
{arnavg, ericwallace, csnell22}@berkeley.edu
ABSTRACT
An emerging method to cheaply improve a weaker language model is to finetune it o... |
dBO8ZPQMVF | "Can you help me understand better the relationship between MAS and a standard diffusion model? Can (...TRUNCATED) | "MAS: Multi-view Ancestral Sampling for 3D Motion Generation Using 2D Diffusion\n\nAnonymous authors(...TRUNCATED) |
TYXtXLYHpR | "In the related works, you distinguish your method from shapelet-based methods, stating that these a(...TRUNCATED) | "Towards Transparent Time Series Forecasting\n\nKrzysztof Kacprzyk \nUniversity of Cambridge \nkk7(...TRUNCATED) |
FvK2noilxT | "In Sec 4.1 Training dataset, why did the authors use different standard deviations to noise the MAN(...TRUNCATED) | "GENEOH DIFFUSION: TOWARDS GENERALIZABLE HAND-OBJECT INTERACTION DENOISING VIA DENOISING DIFFUSION\n(...TRUNCATED) |
otHZ8JAIgh | "Since both PID and PIB rely on sampling from distribution, it does seem that the performance will i(...TRUNCATED) | "Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction\(...TRUNCATED) |
9NKRfhKgzI | "I'm having difficulty understanding the reason for conditioning on u for formalizing Goal 2 and Goa(...TRUNCATED) | "Adversarially Robust and Privacy-Preserving Representation Learning via Information Theory\n\nAnony(...TRUNCATED) |
Uj2Wjv0pMY | "Since this paper is about the new dataset which is claimed to focus on error recognition, however t(...TRUNCATED) | "Put on your detective hat: What’s wrong in this video? A Dataset for Error Recognition in Procedu(...TRUNCATED) |
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