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Rebecca Roelofs
标题
引用次数
引用次数
年份
Do imagenet classifiers generalize to imagenet?
B Recht, R Roelofs, L Schmidt, V Shankar
International conference on machine learning, 5389-5400, 2019
16352019
The marginal value of adaptive gradient methods in machine learning
AC Wilson, R Roelofs, M Stern, N Srebro, B Recht
Advances in neural information processing systems 30, 2017
12642017
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
9632023
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
M Wortsman, G Ilharco, SY Gadre, R Roelofs, R Gontijo-Lopes, ...
International conference on machine learning, 23965-23998, 2022
6162022
Robust fine-tuning of zero-shot models
M Wortsman, G Ilharco, JW Kim, M Li, S Kornblith, R Roelofs, RG Lopes, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
4762022
Do cifar-10 classifiers generalize to cifar-10?
B Recht, R Roelofs, L Schmidt, V Shankar
arXiv preprint arXiv:1806.00451, 2018
4232018
Scene transformer: A unified architecture for predicting multiple agent trajectories
J Ngiam, B Caine, V Vasudevan, Z Zhang, HTL Chiang, J Ling, R Roelofs, ...
arXiv preprint arXiv:2106.08417, 2021
2152021
A meta-analysis of overfitting in machine learning
R Roelofs, V Shankar, B Recht, S Fridovich-Keil, M Hardt, J Miller, ...
Advances in Neural Information Processing Systems 32, 2019
1972019
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
1722024
Evaluating machine accuracy on imagenet
V Shankar, R Roelofs, H Mania, A Fang, B Recht, L Schmidt
International Conference on Machine Learning, 8634-8644, 2020
1552020
Adamatch: A unified approach to semi-supervised learning and domain adaptation
D Berthelot, R Roelofs, K Sohn, N Carlini, A Kurakin
arXiv preprint arXiv:2106.04732, 2021
1342021
Gemini: A family of highly capable multimodal models
R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805 1, 2023
1022023
Mitigating bias in calibration error estimation
R Roelofs, N Cain, J Shlens, MC Mozer
International Conference on Artificial Intelligence and Statistics, 4036-4054, 2022
802022
Do image classifiers generalize across time?
V Shankar, A Dave, R Roelofs, D Ramanan, B Recht, L Schmidt
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
772021
Soft calibration objectives for neural networks
A Karandikar, N Cain, D Tran, B Lakshminarayanan, J Shlens, MC Mozer, ...
Advances in Neural Information Processing Systems 34, 29768-29779, 2021
732021
Scene transformer: A unified multi-task model for behavior prediction and planning
J Ngiam, B Caine, V Vasudevan, Z Zhang, HTL Chiang, J Ling, R Roelofs, ...
arXiv preprint arXiv:2106.08417 2 (7), 2021
682021
The evolution of out-of-distribution robustness throughout fine-tuning
A Andreassen, Y Bahri, B Neyshabur, R Roelofs
arXiv preprint arXiv:2106.15831, 2021
632021
Imitation is not enough: Robustifying imitation with reinforcement learning for challenging driving scenarios
Y Lu, J Fu, G Tucker, X Pan, E Bronstein, R Roelofs, B Sapp, B White, ...
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
492023
When does dough become a bagel? analyzing the remaining mistakes on imagenet
V Vasudevan, B Caine, R Gontijo Lopes, S Fridovich-Keil, R Roelofs
Advances in Neural Information Processing Systems 35, 6720-6734, 2022
442022
Large scale kernel learning using block coordinate descent
S Tu, R Roelofs, S Venkataraman, B Recht
arXiv preprint arXiv:1602.05310, 2016
442016
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