Rebecca Roelofs

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 34

Top Topics

Error Estimation

Machine Learning

Causal Relationships

Conformal Prediction

Top Venues

Publications

Liting Sun, Rebecca Roelofs, Benjamin Caine, Khaled S. Refaat, Ben Sapp, Scott Ettinger, Wei Chai
CausalAgents: A Robustness Benchmark for Motion Forecasting. ICRA (2024)
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. CoRR (2023)
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)
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)
Anish Muthali, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust, Claire J. Tomlin
Multi-Agent Reachability Calibration with Conformal Prediction. CoRR (2023)
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)
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 (2022)
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 (2022)
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)
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
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. ICML (2022)
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)
Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer
Mitigating Bias in Calibration Error Estimation. AISTATS (2022)
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)
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)
Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs
Spectral Bias in Practice: The Role of Function Frequency in Generalization. NeurIPS (2022)
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 (2022)
David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alexey Kurakin
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. ICLR (2022)
Anders Andreassen, Yasaman Bahri, Behnam Neyshabur, Rebecca Roelofs
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning. CoRR (2021)
David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alex Kurakin
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. CoRR (2021)
Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs
Spectral Bias in Practice: The Role of Function Frequency in Generalization. CoRR (2021)
Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan, Jiquan Ngiam, Yuning Chai, Zhifeng Chen, Jonathon Shlens
Pseudo-labeling for Scalable 3D Object Detection. CoRR (2021)
Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt
Do Image Classifiers Generalize Across Time? ICCV (2021)
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 (2021)
Vaishaal Shankar, Rebecca Roelofs, Horia Mania, Alex Fang, Benjamin Recht, Ludwig Schmidt
Evaluating Machine Accuracy on ImageNet. ICML (2020)
Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer
Mitigating bias in calibration error estimation. CoRR (2020)
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar
Do ImageNet Classifiers Generalize to ImageNet? ICML (2019)
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar
Do ImageNet Classifiers Generalize to ImageNet? CoRR (2019)
Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt
A systematic framework for natural perturbations from videos. CoRR (2019)
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)
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar
Do CIFAR-10 Classifiers Generalize to CIFAR-10? CoRR (2018)
Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, Benjamin Recht
The Marginal Value of Adaptive Gradient Methods in Machine Learning. CoRR (2017)
Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nati Srebro, Benjamin Recht
The Marginal Value of Adaptive Gradient Methods in Machine Learning. NIPS (2017)
Vikas Sindhwani, Rebecca Roelofs, Mrinal Kalakrishnan
Sequential operator splitting for constrained nonlinear optimal control. ACC (2017)
Stephen Tu, Rebecca Roelofs, Shivaram Venkataraman, Benjamin Recht
Large Scale Kernel Learning using Block Coordinate Descent. CoRR (2016)
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)