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Rebecca Roelofs
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
21462023
Do imagenet classifiers generalize to imagenet?
B Recht, R Roelofs, L Schmidt, V Shankar
International conference on machine learning, 5389-5400, 2019
18922019
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
13432017
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
8472022
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
671*2024
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
6332022
Do cifar-10 classifiers generalize to cifar-10?
B Recht, R Roelofs, L Schmidt, V Shankar
arXiv preprint arXiv:1806.00451, 2018
4642018
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
2692021
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
2312019
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
2272023
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
1762020
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
1652021
Mitigating bias in calibration error estimation
R Roelofs, N Cain, J Shlens, MC Mozer
International Conference on Artificial Intelligence and Statistics, 4036-4054, 2022
922022
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
862021
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
842021
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
792021
Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research
C Gulino, J Fu, W Luo, G Tucker, E Bronstein, Y Lu, J Harb, X Pan, ...
Advances in Neural Information Processing Systems 36, 2024
712024
The evolution of out-of-distribution robustness throughout fine-tuning
A Andreassen, Y Bahri, B Neyshabur, R Roelofs
arXiv preprint arXiv:2106.15831, 2021
712021
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
702023
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
522022
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