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