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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
Improving Adversarial Robustness of Ensembles with Diversity Training
Sanjay Kariyappa, Moinuddin K. Qureshi
arXiv (Cornell University)
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2019
|
99 회 인용
InstaGAN: Instance-aware Image-to-Image Translation
Sangwoo Mo, Minsu Cho 외 1명
arXiv (Cornell University)
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2018
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99 회 인용
Larger language models do in-context learning differently
Jerry Wei, Jason Lee 외 9명
arXiv (Cornell University)
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2023
|
99 회 인용
Learning from Demonstrations for Real World Reinforcement Learning
Todd Hester, Matej Vecerík 외 10명
arXiv (Cornell University)
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2017
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99 회 인용
Learning to Fuse Things and Stuff
Jie Li, Allan Raventos 외 3명
arXiv (Cornell University)
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2018
|
99 회 인용
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Xuheng Cai, Chao Huang 외 2명
arXiv (Cornell University)
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2023
|
99 회 인용
Low-rank matrix factorization with attributes
Jacob Abernethy, Francis Bach 외 2명
ArXiv.org
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2006
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99 회 인용
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami, Sami Abu-El-Haija 외 3명
arXiv (Cornell University)
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2020
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99 회 인용
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
Liang Chen, Mohammad Norouzi 외 3명
arXiv (Cornell University)
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2018
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99 회 인용
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
Zechun Liu, Haoyuan Mu 외 5명
arXiv (Cornell University)
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2019
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99 회 인용
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