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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 the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
Wei Xiang, Boqing Gong, +3
arXiv (Cornell University)
|
2018
|
141 citations
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
Yunzhu Li, Jiaming Song, +1
arXiv (Cornell University)
|
2017
|
141 citations
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
Andrea Rossi, Donatella Firmani, +3
arXiv (Cornell University)
|
2020
|
141 citations
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Daniel Keysers, Nathanael Schärli, +12
arXiv (Cornell University)
|
2019
|
141 citations
On Adaptive Attacks to Adversarial Example Defenses
Florian Tramèr, Nicholas Carlini, +2
arXiv (Cornell University)
|
2020
|
141 citations
Optimal Transport for structured data with application on graphs
Titouan Vayer, Laëtitia Chapel, +3
arXiv (Cornell University)
|
2018
|
141 citations
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun, Xiaodong Yang, +2
arXiv (Cornell University)
|
2017
|
141 citations
Representation Benefits of Deep Feedforward Networks
Matus Telgarsky
arXiv (Cornell University)
|
2015
|
141 citations
Topological analysis of the connectome of digital reconstructions of neural microcircuits
Paweł Dłotko, Kathryn Hess, +7
arXiv (Cornell University)
|
2016
|
141 citations
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Chunle Guo, Chongyi Li, +5
arXiv (Cornell University)
|
2020
|
141 citations
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