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Neil Band
Neil Band
Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
A Malinin, N Band, G Chesnokov, Y Gal, MJF Gales, A Noskov, ...
Advances in Neural Information Processing Systems (NeurIPS), Datasets and …, 2021
1562021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
J Kossen*, N Band*, C Lyle, AN Gomez, T Rainforth, Y Gal
Advances in Neural Information Processing Systems (NeurIPS), 2021
1562021
Plex: Towards reliability using pretrained large model extensions
D Tran, J Liu, MW Dusenberry, D Phan, M Collier, J Ren, K Han, Z Wang, ...
ICML Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward, 2022
1342022
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
1122021
Single-cell multiregion dissection of Alzheimer˘s disease
H Mathys, CA Boix, LA Akay, Z Xia, J Davila-Velderrain, AP Ng, X Jiang, ...
Nature 632 (8026), 858-868, 2024
632024
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 (NeurIPS), Datasets and …, 2021
592021
Linguistic Calibration of Long-Form Generations
N Band, X Li, T Ma, T Hashimoto
International Conference on Machine Learning (ICML), 2024
27*2024
MemFlow: Memory-aware distributed deep learning
N Band
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
92020
Synthetic continued pretraining
Z Yang*, N Band*, S Li, E Candès, T Hashimoto
International Conference on Learning Representations (ICLR), 2024
62024
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