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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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Adversarial Machine Learning at Scale
Alexey Kurakin, Ian Goodfellow, +1
arXiv (Cornell University)
|
2016
|
375 citations
Experience Replay for Continual Learning
David Rolnick, Arun Ahuja, +3
arXiv (Cornell University)
|
2018
|
375 citations
On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse, Praveen Manoharan, +3
arXiv (Cornell University)
|
2017
|
375 citations
Self-Attention Graph Pooling
Junhyun Lee, Inyeop Lee, +1
arXiv (Cornell University)
|
2019
|
375 citations
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
Sergey Levine
ArXiv.org
|
2018
|
374 citations
Discriminative Embeddings of Latent Variable Models for Structured Data
Hanjun Dai, Bo Dai, +1
arXiv (Cornell University)
|
2016
|
373 citations
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
Amir Shahroudy, Jun Liu, +2
arXiv (Cornell University)
|
2016
|
373 citations
A Tutorial on Bayesian Optimization
Peter I. Frazier
arXiv (Cornell University)
|
2018
|
372 citations
Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables
Nils Hammerla, Shane Halloran, +1
arXiv (Cornell University)
|
2016
|
372 citations
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
Bharath Bhushan Damodaran, Benjamin Kellenberger, +3
arXiv (Cornell University)
|
2018
|
372 citations
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