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