Rebecca Roelofs

38 papers A* 13A 2C 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Training Language Models to Self-Correct via Reinforcement Learning. ICLR 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
2024	A*	`conf`	CausalAgents: A Robustness Benchmark for Motion Forecasting. ICRA Liting Sun, Rebecca Roelofs, Benjamin Caine, Khaled S. Refaat, Ben Sapp, Scott Ettinger, Wei Chai
2024	J	`jnl`	Training Language Models to Self-Correct via Reinforcement Learning. CoRR 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
2023	A	`conf`	Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. IROS Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
2023	—	`conf`	Multi-Agent Reachability Calibration with Conformal Prediction. CDC Anish Muthali, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust, Claire J. Tomlin
2023	J	`jnl`	Multi-Agent Reachability Calibration with Conformal Prediction. CoRR Anish Muthali, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust, Claire J. Tomlin
2023	A*	`conf`	Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. NeurIPS 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
2023	J	`jnl`	Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. CoRR 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
2022	A*	`conf`	AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. ICLR David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alexey Kurakin
2022	J	`jnl`	CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships. CoRR Rebecca Roelofs, Liting Sun, Benjamin Caine, Khaled S. Refaat, Ben Sapp, Scott Ettinger, Wei Chai
2022	A	`conf`	Mitigating Bias in Calibration Error Estimation. AISTATS Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer
2022	A*	`conf`	Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. ICML 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
2022	J	`jnl`	Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. CoRR 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
2022	A*	`conf`	Robust fine-tuning of zero-shot models. CVPR Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo Lopes, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt
2022	A*	`conf`	Scene Transformer: A unified architecture for predicting future trajectories of multiple agents. ICLR 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
2022	A*	`conf`	Spectral Bias in Practice: The Role of Function Frequency in Generalization. NeurIPS Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs
2022	J	`jnl`	The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning. Trans. Mach. Learn. Res. Anders Johan Andreassen, Yasaman Bahri, Behnam Neyshabur, Rebecca Roelofs
2022	A*	`conf`	When does dough become a bagel? Analyzing the remaining mistakes on ImageNet. NeurIPS Vijay Vasudevan, Benjamin Caine, Raphael Gontijo Lopes, Sara Fridovich-Keil, Rebecca Roelofs
2022	J	`jnl`	When does dough become a bagel? Analyzing the remaining mistakes on ImageNet. CoRR Vijay Vasudevan, Benjamin Caine, Raphael Gontijo Lopes, Sara Fridovich-Keil, Rebecca Roelofs
2021	J	`jnl`	AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. CoRR David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alex Kurakin
2021	A*	`conf`	Do Image Classifiers Generalize Across Time? ICCV Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt
2021	J	`jnl`	Pseudo-labeling for Scalable 3D Object Detection. CoRR Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan, Jiquan Ngiam, Yuning Chai, Zhifeng Chen, Jonathon Shlens
2021	J	`jnl`	Scene Transformer: A unified multi-task model for behavior prediction and planning. CoRR 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
2021	J	`jnl`	Spectral Bias in Practice: The Role of Function Frequency in Generalization. CoRR Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs
2021	J	`jnl`	The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning. CoRR Anders Andreassen, Yasaman Bahri, Behnam Neyshabur, Rebecca Roelofs
2020	A*	`conf`	Evaluating Machine Accuracy on ImageNet. ICML Vaishaal Shankar, Rebecca Roelofs, Horia Mania, Alex Fang, Benjamin Recht, Ludwig Schmidt
2020	J	`jnl`	Mitigating bias in calibration error estimation. CoRR Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer
2019	A*	`conf`	A Meta-Analysis of Overfitting in Machine Learning. NeurIPS Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt
2019	J	`jnl`	A systematic framework for natural perturbations from videos. CoRR Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt
2019	A*	`conf`	Do ImageNet Classifiers Generalize to ImageNet? ICML Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar
2019	J	`jnl`	Do ImageNet Classifiers Generalize to ImageNet? CoRR Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar
2019	—	`—`	Measuring Generalization and Overfitting in Machine Learning. Rebecca Roelofs
2018	J	`jnl`	Do CIFAR-10 Classifiers Generalize to CIFAR-10? CoRR Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar
2017	C	`conf`	Sequential operator splitting for constrained nonlinear optimal control. ACC Vikas Sindhwani, Rebecca Roelofs, Mrinal Kalakrishnan
2017	—	`conf`	The Marginal Value of Adaptive Gradient Methods in Machine Learning. NIPS Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nati Srebro, Benjamin Recht
2017	J	`jnl`	The Marginal Value of Adaptive Gradient Methods in Machine Learning. CoRR Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, Benjamin Recht
2016	J	`jnl`	Large Scale Kernel Learning using Block Coordinate Descent. CoRR Stephen Tu, Rebecca Roelofs, Shivaram Venkataraman, Benjamin Recht
2012	—	`conf`	Managing User Requests With the Grand Unified Task System (GUTS). LISA Andrew Stromme, Danica J. Sutherland, Nicholas Felt, Alex Burka, Benjamin Lipton, Rebecca Roelofs, Daniel-Elia Feist-Alexandrov, Steve Dini, Allen Welkie