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