受强制性开放获取政策约束的文章 - Siddharth Swaroop了解详情
可在其他位置公开访问的文章：7 篇
Continual deep learning by functional regularisation of memorable past
P Pan, S Swaroop, A Immer, R Eschenhagen, R Turner, MEE Khan
Advances in neural information processing systems 33, 4453-4464, 2020
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Efficient low rank gaussian variational inference for neural networks
M Tomczak, S Swaroop, R Turner
Advances in Neural Information Processing Systems 33, 4610-4622, 2020
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Collapsed variational bounds for Bayesian neural networks
M Tomczak, S Swaroop, A Foong, R Turner
Advances in Neural Information Processing Systems 34, 25412-25426, 2021
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Soft prompting might be a bug, not a feature
L Bailey, G Ahdritz, A Kleiman, S Swaroop, F Doshi-Velez, W Pan
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
Improving Continual Learning by Accurate Gradient Reconstructions of the Past
E Daxberger, S Swaroop, K Osawa, R Yokota, RE Turner, ...
Transactions on Machine Learning Research, 2023
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, Japan Science and …
Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning
LL Ankile, BS Ham, K Mao, E Shin, S Swaroop, F Doshi-Velez, W Pan
arXiv preprint arXiv:2307.08169, 2023
强制性开放获取政策： US National Science Foundation
Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning
S Rathnam, S Parbhoo, S Swaroop, W Pan, SA Murphy, F Doshi-Velez
Journal of Machine Learning Research 25 (255), 1-48, 2024
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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