Следене
Rebecca Roelofs
Заглавие
Позовавания
Позовавания
Година
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
9072017
Do imagenet classifiers generalize to imagenet?
B Recht, R Roelofs, L Schmidt, V Shankar
International Conference on Machine Learning, 5389-5400, 2019
6122019
Do cifar-10 classifiers generalize to cifar-10?
B Recht, R Roelofs, L Schmidt, V Shankar
arXiv preprint arXiv:1806.00451, 2018
2432018
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
862019
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
632020
Large scale kernel learning using block coordinate descent
S Tu, R Roelofs, S Venkataraman, B Recht
arXiv preprint arXiv:1602.05310, 2016
382016
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
372022
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
352021
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
292022
Mitigating bias in calibration error estimation
R Roelofs, N Cain, J Shlens, MC Mozer
International Conference on Artificial Intelligence and Statistics, 4036-4054, 2022
232022
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 e-prints, arXiv: 2106.08417, 2021
232021
A systematic framework for natural perturbations from videos
V Shankar, A Dave, R Roelofs, D Ramanan, B Recht, L Schmidt
212019
Measuring Generalization and overfitting in Machine learning
R Roelofs
University of California, Berkeley, 2019
152019
Pseudo-labeling for scalable 3d object detection
B Caine, R Roelofs, V Vasudevan, J Ngiam, Y Chai, Z Chen, J Shlens
arXiv preprint arXiv:2103.02093, 2021
142021
The evolution of out-of-distribution robustness throughout fine-tuning
A Andreassen, Y Bahri, B Neyshabur, R Roelofs
arXiv preprint arXiv:2106.15831, 2021
122021
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
122021
Sequential operator splitting for constrained nonlinear optimal control
V Sindhwani, R Roelofs, M Kalakrishnan
2017 American Control Conference (ACC), 4864-4871, 2017
122017
Do cifar-10 classifiers generalize to cifar-10? 2018
B Recht, R Roelofs, L Schmidt, V Shankar
arXiv preprint arXiv:1806.00451, 1806
121806
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
112021
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
72021
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20