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Nicholas Roberts
Nicholas Roberts
PhD student UW-Madison
Подтвержден адрес электронной почты в домене cs.wisc.edu - Главная страница
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Процитировано
Процитировано
Год
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
5822022
Small molecule accurate recognition technology (SMART) to enhance natural products research
C Zhang, Y Idelbayev, N Roberts, Y Tao, Y Nannapaneni, BM Duggan, ...
Scientific reports 7 (1), 14243, 2017
872017
Nl-augmenter: A framework for task-sensitive natural language augmentation
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
arXiv preprint arXiv:2112.02721, 2021
572021
Universalizing weak supervision
C Shin, W Li, H Vishwakarma, N Roberts, F Sala
arXiv preprint arXiv:2112.03865, 2021
342021
NAS-bench-360: Benchmarking neural architecture search on diverse tasks
R Tu, N Roberts, M Khodak, J Shen, F Sala, A Talwalkar
Advances in Neural Information Processing Systems 35, 12380-12394, 2022
23*2022
Rethinking neural operations for diverse tasks
N Roberts, M Khodak, T Dao, L Li, C Ré, A Talwalkar
Advances in Neural Information Processing Systems 34, 15855-15869, 2021
222021
Decoding and diversity in machine translation
N Roberts, D Liang, G Neubig, ZC Lipton
arXiv preprint arXiv:2011.13477, 2020
202020
Learning from discriminative feature feedback
S Dasgupta, A Dey, N Roberts, S Sabato
Advances in Neural Information Processing Systems 31, 2018
192018
Model weight theft with just noise inputs: The curious case of the petulant attacker
N Roberts, VU Prabhu, M McAteer
arXiv preprint arXiv:1912.08987, 2019
132019
Skill-it! a data-driven skills framework for understanding and training language models
M Chen, N Roberts, K Bhatia, J Wang, C Zhang, F Sala, C Ré
Advances in Neural Information Processing Systems 36, 2024
72024
Deep connectomics networks: Neural network architectures inspired by neuronal networks
N Roberts, DA Yap, VU Prabhu
arXiv preprint arXiv:1912.08986, 2019
62019
Autows-bench-101: Benchmarking automated weak supervision with 100 labels
N Roberts, X Li, TH Huang, D Adila, S Schoenberg, CY Liu, L Pick, H Ma, ...
Advances in Neural Information Processing Systems 35, 8912-8925, 2022
52022
Automl for climate change: A call to action
R Tu, N Roberts, V Prasad, S Nayak, P Jain, F Sala, G Ramakrishnan, ...
arXiv preprint arXiv:2210.03324, 2022
52022
Lifting Weak Supervision To Structured Prediction
H Vishwakarma, F Sala
Advances in Neural Information Processing Systems 35, 37563-37574, 2022
32022
Generative Modeling Helps Weak Supervision (and Vice Versa)
B Boecking, N Roberts, W Neiswanger, S Ermon, F Sala, A Dubrawski
arXiv preprint arXiv:2203.12023, 2022
32022
Using deep siamese neural networks to speed up natural products research
N Roberts, PS Purushothama, VT Vasudevan, S Ravichandran, C Zhang, ...
32018
A simple setting for understanding neural architecture search with weight-sharing
M Khodak, L Li, N Roberts, MF Balcan, A Talwalkar
ICML AutoML Workshop, 2020
22020
Grassmannian packings in neural networks: learning with maximal subspace packings for diversity and anti-sparsity
DA Yap, N Roberts, VU Prabhu
arXiv preprint arXiv:1911.07418, 2019
22019
Geometry-Aware Adaptation for Pretrained Models
N Roberts, X Li, D Adila, S Cromp, TH Huang, J Zhao, F Sala
Advances in Neural Information Processing Systems 36, 2024
12024
Automl decathlon: Diverse tasks, modern methods, and efficiency at scale
N Roberts, S Guo, C Xu, A Talwalkar, D Lander, L Tao, L Cai, S Niu, ...
NeurIPS 2022 Competition Track, 151-170, 2022
12022
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Статьи 1–20