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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning
Chi-Hung Hsu, Shih-Chieh Chang 외 8명
arXiv (Cornell University)
|
2018
|
150 회 인용
Multi-task Neural Networks for QSAR Predictions
George E. Dahl, Navdeep Jaitly 외 1명
arXiv (Cornell University)
|
2014
|
150 회 인용
Multimodal Generative Models for Scalable Weakly-Supervised Learning
Mike Wu, Noah D. Goodman
arXiv (Cornell University)
|
2018
|
150 회 인용
NP-complete Problems and Physical Reality
Scott Aaronson
ArXiv.org
|
2005
|
150 회 인용
Part-dependent Label Noise: Towards Instance-dependent Label Noise
Xiaobo Xia, Tongliang Liu 외 7명
arXiv (Cornell University)
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2020
|
150 회 인용
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu, Hanchen Wang 외 4명
arXiv (Cornell University)
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2021
|
150 회 인용
Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Robin M. Schmidt
arXiv (Cornell University)
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2019
|
150 회 인용
ReZero is All You Need: Fast Convergence at Large Depth
Thomas Bachlechner, Bodhisattwa Prasad Majumder 외 3명
arXiv (Cornell University)
|
2020
|
150 회 인용
Robust Federated Learning in a Heterogeneous Environment
Avishek Ghosh, Justin Hong 외 2명
arXiv (Cornell University)
|
2019
|
150 회 인용
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
Ken Kansky, Tom Silver 외 8명
arXiv (Cornell University)
|
2017
|
150 회 인용
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