Uncertainty baselines: Benchmarks for uncertainty & robustness in deep learning Z Nado, N Band, M Collier, J Djolonga, MW Dusenberry, S Farquhar, ... arXiv preprint arXiv:2106.04015, 2021 | 100 | 2021 |
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks N Band, TGJ Rudner, Q Feng, A Filos, Z Nado, MW Dusenberry, G Jerfel, ... Advances in Neural Information Processing Systems, 2021 | 47 | 2021 |
Continual Learning via Function-Space Variational Inference TGJ Rudner, FB Smith, Q Feng, YW Teh, Y Gal International Conference on Machine Learning, 2022 | 32 | 2022 |
Diloco: Distributed low-communication training of language models A Douillard, Q Feng, AA Rusu, R Chhaparia, Y Donchev, A Kuncoro, ... arXiv preprint arXiv:2311.08105, 2023 | 8 | 2023 |
DiPaCo: Distributed Path Composition A Douillard, Q Feng, AA Rusu, A Kuncoro, Y Donchev, R Chhaparia, ... arXiv preprint arXiv:2403.10616, 2024 | 1 | 2024 |
A neural tangent kernel perspective on function-space regularization in neural networks Z Chen, X Shi, TGJ Rudner, Q Feng, W Zhang, T Zhang OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 2022 | 1 | 2022 |
Nevis' 22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research J Bornschein, A Galashov, R Hemsley, A Rannen-Triki, Y Chen, ... Journal of Machine Learning Research 24 (308), 1-77, 2023 | | 2023 |
Attribution Evaluation with User Matched Paths G Tabak, JG Vaver, Q Feng | | 2021 |