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