Artikelen met mandaten voor openbare toegang - Colin WeiMeer informatie
Ergens beschikbaar: 12
Towards explaining the regularization effect of initial large learning rate in training neural networks
Y Li, C Wei, T Ma
Advances in neural information processing systems 32, 2019
Mandaten: US National Science Foundation
Provable guarantees for self-supervised deep learning with spectral contrastive loss
JZ HaoChen, C Wei, A Gaidon, T Ma
Advances in Neural Information Processing Systems 34, 5000-5011, 2021
Mandaten: US National Science Foundation
Regularization matters: Generalization and optimization of neural nets vs their induced kernel
C Wei, JD Lee, Q Liu, T Ma
Advances in Neural Information Processing Systems 32, 2019
Mandaten: US National Science Foundation, US Department of Defense, UK Engineering and …
The implicit and explicit regularization effects of dropout
C Wei, S Kakade, T Ma
International conference on machine learning, 10181-10192, 2020
Mandaten: US National Science Foundation
Data-dependent sample complexity of deep neural networks via lipschitz augmentation
C Wei, T Ma
Advances in Neural Information Processing Systems 32, 2019
Mandaten: US National Science Foundation
Shape matters: Understanding the implicit bias of the noise covariance
JZ HaoChen, C Wei, J Lee, T Ma
Conference on Learning Theory, 2315-2357, 2021
Mandaten: US National Science Foundation, US Department of Defense
Why do pretrained language models help in downstream tasks? an analysis of head and prompt tuning
C Wei, SM Xie, T Ma
Advances in Neural Information Processing Systems 34, 16158-16170, 2021
Mandaten: US National Science Foundation, US Department of Defense
Self-training avoids using spurious features under domain shift
Y Chen, C Wei, A Kumar, T Ma
Advances in Neural Information Processing Systems 33, 21061-21071, 2020
Mandaten: US National Science Foundation
Statistically meaningful approximation: a case study on approximating turing machines with transformers
C Wei, Y Chen, T Ma
Advances in Neural Information Processing Systems 35, 12071-12083, 2022
Mandaten: US National Science Foundation
Improved sample complexities for deep neural networks and robust classification via an all-layer margin
C Wei, T Ma
International Conference on Learning Representations, 2019
Mandaten: US National Science Foundation
Certified robustness for deep equilibrium models via interval bound propagation
C Wei, JZ Kolter
International Conference on Learning Representations, 2022
Mandaten: US National Science Foundation
General bounds on satisfiability thresholds for random CSPs via fourier analysis
C Wei, S Ermon
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Mandaten: US National Science Foundation
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