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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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9999+ results
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Michael M. Bronstein, Joan Bruna, +2
arXiv (Cornell University)
|
2021
|
551 citations
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
Mehdi S. M. Sajjadi, Mehran Javanmardi, +1
arXiv (Cornell University)
|
2016
|
551 citations
Evolving Algebras 1993: Lipari Guide
Yuri Gurevich
arXiv (Cornell University)
|
2018
|
550 citations
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar, Peyton Greenside, +2
arXiv (Cornell University)
|
2016
|
549 citations
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, +449
arXiv (Cornell University)
|
2022
|
548 citations
Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization
Alexander Rakhlin, Ohad Shamir, +1
arXiv (Cornell University)
|
2011
|
548 citations
Quantum Amplitude Amplification and Estimation
Gilles Brassard, Peter Høyer, +2
2000
|
545 citations
Differentially Private Empirical Risk Minimization
Kamalika Chaudhuri, Claire Monteleoni, +1
arXiv (Cornell University)
|
2009
|
544 citations
Large-Scale Evolution of Image Classifiers
Esteban Real, Sherry Moore, +6
arXiv (Cornell University)
|
2017
|
544 citations
On First-Order Meta-Learning Algorithms
Alex Nichol, Joshua Achiam, +1
arXiv (Cornell University)
|
2018
|
544 citations
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