Roelofs, Rebecca

20 publications

ICLR 2025 Training Language Models to Self-Correct via Reinforcement Learning Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi Su, John D Co-Reyes, Avi Singh, Kate Baumli, Shariq Iqbal, Colton Bishop, Rebecca Roelofs, Lei M Zhang, Kay McKinney, Disha Shrivastava, Cosmin Paduraru, George Tucker, Doina Precup, Feryal Behbahani, Aleksandra Faust

NeurIPS 2023 Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp

AISTATS 2022 Mitigating Bias in Calibration Error Estimation Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer

ICLR 2022 AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alexey Kurakin

ICML 2022 Model Soups: Averaging Weights of Multiple Fine-Tuned Models Improves Accuracy Without Increasing Inference Time Mitchell Wortsman, Gabriel Ilharco, Samir Ya Gadre, Rebecca Roelofs, Raphael Gontijo-Lopes, Ari S Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, Ludwig Schmidt

CVPR 2022 Robust Fine-Tuning of Zero-Shot Models Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo Lopes, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt

ICLR 2022 Scene Transformer: A Unified Architecture for Predicting Future Trajectories of Multiple Agents Jiquan Ngiam, Vijay Vasudevan, Benjamin Caine, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David J Weiss, Benjamin Sapp, Zhifeng Chen, Jonathon Shlens

NeurIPS 2022 Spectral Bias in Practice: The Role of Function Frequency in Generalization Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs

TMLR 2022 The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning Anders Johan Andreassen, Yasaman Bahri, Behnam Neyshabur, Rebecca Roelofs

NeurIPS 2022 When Does Dough Become a Bagel? Analyzing the Remaining Mistakes on ImageNet Vijay Vasudevan, Benjamin Caine, Raphael Gontijo Lopes, Sara Fridovich-Keil, Rebecca Roelofs

ICMLW 2022 When Does Dough Become a bagel?Analyzing the Remaining Mistakes on ImageNet Vijay Vasudevan, Benjamin Caine, Raphael Gontijo-Lopes, Sara Fridovich-Keil, Rebecca Roelofs

ICCV 2021 Do Image Classifiers Generalize Across Time? Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt

NeurIPSW 2021 Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar

NeurIPSW 2021 Evaluating Machine Accuracy on ImageNet Vaishaal Shankar, Rebecca Roelofs, Horia Mania, Alex Fang, Benjamin Recht, Ludwig Schmidt

NeurIPSW 2021 Robust Fine-Tuning of Zero-Shot Models Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo-Lopes, Hanna Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt

ICML 2020 Evaluating Machine Accuracy on ImageNet Vaishaal Shankar, Rebecca Roelofs, Horia Mania, Alex Fang, Benjamin Recht, Ludwig Schmidt

NeurIPS 2019 A Meta-Analysis of Overfitting in Machine Learning Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt

ICMLW 2019 A Systematic Framework for Natural Perturbations from Videos Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt

ICML 2019 Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar

NeurIPS 2017 The Marginal Value of Adaptive Gradient Methods in Machine Learning Ashia C Wilson, Rebecca Roelofs, Mitchell Stern, Nati Srebro, Benjamin Recht