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Computer Science 論文レビュー
Computer Science 分野の主要論文を動機・手法・結果に構造化した AI 論文レビュー一覧です。
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Extracting Training Data from Large Language Models
Nicholas Carlini, Florian Tramèr, +10
arXiv (Cornell University)
|
2020
|
274 citations
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
Jianbo Chen, Le Song, +2
arXiv (Cornell University)
|
2018
|
274 citations
Safe Exploration in Continuous Action Spaces
Gal Dalal, Krishnamurthy Dvijotham, +4
arXiv (Cornell University)
|
2018
|
274 citations
Structure Discovery in Nonparametric Regression through Compositional Kernel Search
David Duvenaud, James Robert Lloyd, +3
arXiv (Cornell University)
|
2013
|
274 citations
A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations
Logan Engstrom, Brandon Tran, +3
arXiv (Cornell University)
|
2017
|
273 citations
Big Bird: Transformers for Longer Sequences
Manzil Zaheer, Guru Guruganesh, +9
arXiv (Cornell University)
|
2020
|
273 citations
Convergence Analysis of Two-layer Neural Networks with ReLU Activation
Yuanzhi Li, Yuan Yang
arXiv (Cornell University)
|
2017
|
273 citations
Dropout Training as Adaptive Regularization
Stefan Wager, Sida Wang, +1
arXiv (Cornell University)
|
2013
|
273 citations
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems
Colin Raffel, Daniel P. W. Ellis
arXiv (Cornell University)
|
2015
|
273 citations
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan, Édouard Grave, +1
arXiv (Cornell University)
|
2019
|
273 citations
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