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Rebecca Roelofs
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2020 – today
- 2024
- [c19]Liting Sun, Rebecca Roelofs, Benjamin Caine, Khaled S. Refaat, Ben Sapp, Scott Ettinger, Wei Chai:
CausalAgents: A Robustness Benchmark for Motion Forecasting. ICRA 2024: 6820-6827 - [i20]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 M. P. Behbahani, Aleksandra Faust:
Training Language Models to Self-Correct via Reinforcement Learning. CoRR abs/2409.12917 (2024) - 2023
- [c18]Anish Muthali, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust, Claire J. Tomlin:
Multi-Agent Reachability Calibration with Conformal Prediction. CDC 2023: 6596-6603 - [c17]Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust
, Shimon Whiteson, Dragomir Anguelov, Sergey Levine:
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. IROS 2023: 7553-7560 - [c16]Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp:
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. NeurIPS 2023 - [i19]Anish Muthali, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust
Multi-Agent Reachability Calibration with Conformal Prediction. CoRR abs/2304.00432 (2023) - [i18]Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. CoRR abs/2310.08710 (2023) - [i17]Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M. Dai, Anja Hauth, Katie Millican, David Silver, Slav Petrov, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, Amelia Glaese, Jilin Chen, Emily Pitler, Timothy P. Lillicrap, Angeliki Lazaridou, Orhan Firat, James Molloy, Michael Isard, Paul Ronald Barham, Tom Hennigan, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, Ryan Doherty, Eli Collins, Clemens Meyer, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, George Tucker, Enrique Piqueras, Maxim Krikun, Iain Barr, Nikolay Savinov, Ivo Danihelka, Becca Roelofs, Anaïs White, Anders Andreassen, Tamara von Glehn, Lakshman Yagati, Mehran Kazemi, Lucas Gonzalez, Misha Khalman, Jakub Sygnowski, et al.:
Gemini: A Family of Highly Capable Multimodal Models. CoRR abs/2312.11805 (2023) - 2022
- [j1]Anders Johan Andreassen, Yasaman Bahri, Behnam Neyshabur, Rebecca Roelofs:
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning. Trans. Mach. Learn. Res. 2022 (2022) - [c15]Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer:
Mitigating Bias in Calibration Error Estimation. AISTATS 2022: 4036-4054 - [c14]Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo Lopes, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt:
Robust fine-tuning of zero-shot models. CVPR 2022: 7949-7961 - [c13]David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alexey Kurakin:
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. ICLR 2022 - [c12]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, Ben Sapp, Zhifeng Chen, Jonathon Shlens:
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents. ICLR 2022 - [c11]Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, Rebecca Roelofs, Raphael Gontijo Lopes, Ari S. Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, Ludwig Schmidt:
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. ICML 2022: 23965-23998 - [c10]Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs:
Spectral Bias in Practice: The Role of Function Frequency in Generalization. NeurIPS 2022 - [c9]Vijay Vasudevan, Benjamin Caine, Raphael Gontijo Lopes, Sara Fridovich-Keil, Rebecca Roelofs:
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet. NeurIPS 2022 - [i16]Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, Rebecca Roelofs, Raphael Gontijo Lopes, Ari S. Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, Ludwig Schmidt:
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. CoRR abs/2203.05482 (2022) - [i15]Vijay Vasudevan, Benjamin Caine, Raphael Gontijo Lopes, Sara Fridovich-Keil, Rebecca Roelofs:
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet. CoRR abs/2205.04596 (2022) - [i14]Rebecca Roelofs, Liting Sun, Benjamin Caine, Khaled S. Refaat, Ben Sapp, Scott Ettinger, Wei Chai:
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships. CoRR abs/2207.03586 (2022) - [i13]Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Becca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. CoRR abs/2212.11419 (2022) - 2021
- [c8]Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan
Do Image Classifiers Generalize Across Time? ICCV 2021: 9641-9649 - [c7]Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael C. Mozer, Becca Roelofs:
Soft Calibration Objectives for Neural Networks. NeurIPS 2021: 29768-29779 - [i12]Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan, Jiquan Ngiam, Yuning Chai, Zhifeng Chen, Jonathon Shlens:
Pseudo-labeling for Scalable 3D Object Detection. CoRR abs/2103.02093 (2021) - [i11]David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alex Kurakin:
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. CoRR abs/2106.04732 (2021) - [i10]Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David Weiss, Benjamin Sapp, Zhifeng Chen, Jonathon Shlens:
Scene Transformer: A unified multi-task model for behavior prediction and planning. CoRR abs/2106.08417 (2021) - [i9]Anders Andreassen, Yasaman Bahri, Behnam Neyshabur, Rebecca Roelofs:
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning. CoRR abs/2106.15831 (2021) - [i8]Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael C. Mozer, Becca Roelofs:
Soft Calibration Objectives for Neural Networks. CoRR abs/2108.00106 (2021) - [i7]Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs:
Spectral Bias in Practice: The Role of Function Frequency in Generalization. CoRR abs/2110.02424 (2021) - 2020
- [c6]Vaishaal Shankar, Rebecca Roelofs, Horia Mania, Alex Fang, Benjamin Recht, Ludwig Schmidt:
Evaluating Machine Accuracy on ImageNet. ICML 2020: 8634-8644 - [i6]Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer:
Mitigating bias in calibration error estimation. CoRR abs/2012.08668 (2020)
2010 – 2019
- 2019
- [b1]Rebecca Roelofs:
Measuring Generalization and Overfitting in Machine Learning. University of California, Berkeley, USA, 2019 - [c5]Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar:
Do ImageNet Classifiers Generalize to ImageNet? ICML 2019: 5389-5400 - [c4]Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt:
A Meta-Analysis of Overfitting in Machine Learning. NeurIPS 2019: 9175-9185 - [i5]Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar:
Do ImageNet Classifiers Generalize to ImageNet? CoRR abs/1902.10811 (2019) - [i4]Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt:
A systematic framework for natural perturbations from videos. CoRR abs/1906.02168 (2019) - 2018
- [i3]Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar:
Do CIFAR-10 Classifiers Generalize to CIFAR-10? CoRR abs/1806.00451 (2018) - 2017
- [c3]Vikas Sindhwani, Rebecca Roelofs, Mrinal Kalakrishnan:
Sequential operator splitting for constrained nonlinear optimal control. ACC 2017: 4864-4871 - [c2]Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nati Srebro, Benjamin Recht:
The Marginal Value of Adaptive Gradient Methods in Machine Learning. NIPS 2017: 4148-4158 - [i2]Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, Benjamin Recht:
The Marginal Value of Adaptive Gradient Methods in Machine Learning. CoRR abs/1705.08292 (2017) - 2016
- [i1]Stephen Tu, Rebecca Roelofs, Shivaram Venkataraman, Benjamin Recht:
Large Scale Kernel Learning using Block Coordinate Descent. CoRR abs/1602.05310 (2016) - 2012
- [c1]Andrew Stromme, Danica J. Sutherland, Nicholas Felt, Alex Burka, Benjamin Lipton, Rebecca Roelofs, Daniel-Elia Feist-Alexandrov, Steve Dini, Allen Welkie:
Managing User Requests With the Grand Unified Task System (GUTS). LISA 2012: 101-110
Coauthor Index
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