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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning
Chi-Hung Hsu, Shih-Chieh Chang, +8
arXiv (Cornell University)
|
2018
|
150 citations
Multi-task Neural Networks for QSAR Predictions
George E. Dahl, Navdeep Jaitly, +1
arXiv (Cornell University)
|
2014
|
150 citations
Multimodal Generative Models for Scalable Weakly-Supervised Learning
Mike Wu, Noah D. Goodman
arXiv (Cornell University)
|
2018
|
150 citations
NP-complete Problems and Physical Reality
Scott Aaronson
ArXiv.org
|
2005
|
150 citations
Part-dependent Label Noise: Towards Instance-dependent Label Noise
Xiaobo Xia, Tongliang Liu, +7
arXiv (Cornell University)
|
2020
|
150 citations
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu, Hanchen Wang, +4
arXiv (Cornell University)
|
2021
|
150 citations
Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Robin M. Schmidt
arXiv (Cornell University)
|
2019
|
150 citations
ReZero is All You Need: Fast Convergence at Large Depth
Thomas Bachlechner, Bodhisattwa Prasad Majumder, +3
arXiv (Cornell University)
|
2020
|
150 citations
Robust Federated Learning in a Heterogeneous Environment
Avishek Ghosh, Justin Hong, +2
arXiv (Cornell University)
|
2019
|
150 citations
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
Ken Kansky, Tom Silver, +8
arXiv (Cornell University)
|
2017
|
150 citations
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