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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
A Survey of Domain Adaptation for Neural Machine Translation
Chenhui Chu, Rui Wang
arXiv (Cornell University)
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2018
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130 회 인용
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples
Haw-Shiuan Chang, Erik Learned-Miller 외 1명
arXiv (Cornell University)
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2017
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130 회 인용
ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan
Héctor Delgado, Nicholas Evans 외 9명
arXiv (Cornell University)
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2021
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130 회 인용
Carbon Emissions and Large Neural Network Training
David A. Patterson, Joseph E. Gonzalez 외 7명
arXiv (Cornell University)
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2021
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130 회 인용
CLIP2Video: Mastering Video-Text Retrieval via Image CLIP
Han Fang, Pengfei Xiong 외 2명
arXiv (Cornell University)
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2021
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130 회 인용
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu, Jie Chen 외 2명
arXiv (Cornell University)
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2019
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130 회 인용
Dark Sectors 2016 Workshop: Community Report
Alexander, Jim, M. Battaglieri 외 202명
CaltechAUTHORS (California Institute of Technology)
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2016
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130 회 인용
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Hao Chen, Xiaojuan Qi 외 2명
arXiv (Cornell University)
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2016
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130 회 인용
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
Senthil Purushwalkam, Abhinav Gupta
arXiv (Cornell University)
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2020
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130 회 인용
Do GANs actually learn the distribution? An empirical study
Sanjeev Arora, Yi Zhang
arXiv (Cornell University)
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2017
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130 회 인용
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