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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
Stochastic Activation Pruning for Robust Adversarial Defense
Guneet S. Dhillon, Kamyar Azizzadenesheli 외 5명
arXiv (Cornell University)
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2018
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206 회 인용
Use What You Have: Video Retrieval Using Representations From Collaborative Experts
Yang Liu, Samuel Albanie 외 2명
arXiv (Cornell University)
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2019
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206 회 인용
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Yifan Jiang, Xinyu Gong 외 7명
arXiv (Cornell University)
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2019
|
205 회 인용
Few-Shot Adversarial Domain Adaptation
Saeid Motiian, Quinn Jones 외 2명
arXiv (Cornell University)
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2017
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205 회 인용
FILIP: Fine-grained Interactive Language-Image Pre-Training
Lewei Yao, Runhui Huang 외 8명
arXiv (Cornell University)
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2021
|
205 회 인용
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi, Minkai Xu 외 4명
arXiv (Cornell University)
|
2020
|
205 회 인용
HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
Naganand Yadati, Madhav Nimishakavi 외 4명
arXiv (Cornell University)
|
2018
|
205 회 인용
LIKWID: Lightweight Performance Tools
Jan Treibig, Georg Hager 외 1명
2011
|
205 회 인용
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Mitchell Wortsman, Gabriel Ilharco 외 9명
arXiv (Cornell University)
|
2022
|
205 회 인용
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks
Peter L. Bartlett, Nick Harvey 외 2명
arXiv (Cornell University)
|
2017
|
205 회 인용
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