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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 Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients
Andrew Slavin Ross, Finale Doshi‐Velez
arXiv (Cornell University)
|
2017
|
280 citations
Learning to Extract Keyphrases from Text
Peter D. Turney
ArXiv.org
|
2002
|
280 citations
LRS3-TED: a large-scale dataset for visual speech recognition
Triantafyllos Afouras, Joon Son Chung, +1
arXiv (Cornell University)
|
2018
|
280 citations
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu, Tsung-Yi Lin, +2
arXiv (Cornell University)
|
2021
|
280 citations
Understanding disentangling in $\beta$-VAE
Christopher Burgess, Irina Higgins, +5
arXiv (Cornell University)
|
2018
|
280 citations
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch, Abhinav Gupta, +1
arXiv (Cornell University)
|
2015
|
280 citations
Convolutional neural networks with low-rank regularization
Cheng Tai, Tong Xiao, +3
arXiv (Cornell University)
|
2016
|
279 citations
End-to-End Learning of Geometry and Context for Deep Stereo Regression
Alex Kendall, Hayk Martirosyan, +5
arXiv (Cornell University)
|
2017
|
279 citations
High Fidelity Neural Audio Compression
Alexandre Défossez, Jade Copet, +2
arXiv (Cornell University)
|
2022
|
279 citations
L2-constrained Softmax Loss for Discriminative Face Verification
Rajeev Ranjan, Carlos D. Castillo, +1
arXiv (Cornell University)
|
2017
|
279 citations
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