Managing User Requests With the Grand Unified Task System (GUTS). - Andrew Stromme; Danica J. Sutherland; Nicholas Felt; Alex Burka; Benjamin Lipton; Rebecca Roelofs; Daniel-Elia Feist-Alexandrov; Steve Dini; Allen Welkie (LISA, 2012)

Large Scale Kernel Learning using Block Coordinate Descent. - Stephen Tu; Rebecca Roelofs; Shivaram Venkataraman; Benjamin Recht (CoRR, 2016)

Sequential operator splitting for constrained nonlinear optimal control. - Vikas Sindhwani; Rebecca Roelofs; Mrinal Kalakrishnan (ACC, 2017)

The Marginal Value of Adaptive Gradient Methods in Machine Learning. - Ashia C. Wilson; Rebecca Roelofs; Mitchell Stern; Nati Srebro; Benjamin Recht (NIPS, 2017)

Do CIFAR-10 Classifiers Generalize to CIFAR-10? - Benjamin Recht; Rebecca Roelofs; Ludwig Schmidt; Vaishaal Shankar (CoRR, 2018)

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

A Meta-Analysis of Overfitting in Machine Learning. - Rebecca Roelofs; Vaishaal Shankar; Benjamin Recht; Sara Fridovich-Keil; Moritz Hardt; John Miller 001; Ludwig Schmidt (NeurIPS, 2019)

A systematic framework for natural perturbations from videos. - Vaishaal Shankar; Achal Dave; Rebecca Roelofs; Deva Ramanan; Benjamin Recht; Ludwig Schmidt (CoRR, 2019)

Measuring Generalization and Overfitting in Machine Learning. - Rebecca Roelofs (2019)

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

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

Soft Calibration Objectives for Neural Networks. - Archit Karandikar; Nicholas Cain; Dustin Tran; Balaji Lakshminarayanan; Jonathon Shlens; Michael C. Mozer; Becca Roelofs (NeurIPS, 2021)

Pseudo-labeling for Scalable 3D Object Detection. - Benjamin Caine; Rebecca Roelofs; Vijay Vasudevan; Jiquan Ngiam; Yuning Chai; Zhifeng Chen; Jonathon Shlens (CoRR, 2021)

Scene Transformer: A unified multi-task model for behavior prediction and planning. - Jiquan Ngiam; Benjamin Caine; Vijay Vasudevan; Zhengdong Zhang; Hao-Tien Lewis Chiang; Jeffrey Ling; Rebecca Roelofs; Alex Bewley; Chenxi Liu 001; Ashish Venugopal; David Weiss 001; Benjamin Sapp; et al. (CoRR, 2021)

Mitigating Bias in Calibration Error Estimation. - Rebecca Roelofs; Nicholas Cain; Jonathon Shlens; Michael C. Mozer (AISTATS, 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 (CVPR, 2022)

AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. - David Berthelot; Rebecca Roelofs; Kihyuk Sohn; Nicholas Carlini; Alexey Kurakin (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 001; Ashish Venugopal; David J. Weiss; Ben Sapp; et al. (ICLR, 2022)

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. - 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 (ICML, 2022)

Spectral Bias in Practice: The Role of Function Frequency in Generalization. - Sara Fridovich-Keil; Raphael Gontijo Lopes; 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 (NeurIPS, 2022)

CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships. - Rebecca Roelofs; Liting Sun; Benjamin Caine; Khaled S. Refaat; Ben Sapp; Scott Ettinger; Wei Chai (CoRR, 2022)

The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning. - Anders Johan Andreassen; Yasaman Bahri; Behnam Neyshabur; Rebecca Roelofs (Trans. Mach. Learn. Res., 2022)

Multi-Agent Reachability Calibration with Conformal Prediction. - Anish Muthali; Haotian Shen; Sampada Deglurkar; Michael H. Lim; Rebecca Roelofs; Aleksandra Faust; Claire J. Tomlin (CDC, 2023)

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. - Yiren Lu 001; Justin Fu; George Tucker; Xinlei Pan; Eli Bronstein; Rebecca Roelofs; Benjamin Sapp; Brandyn White; Aleksandra Faust; Shimon Whiteson; Dragomir Anguelov; Sergey Levine (IROS, 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 001; Jean Harb; Xinlei Pan; Yan Wang 051; Xiangyu Chen 007; John D. Co-Reyes; Rishabh Agarwal; et al. (NeurIPS, 2023)

CausalAgents: A Robustness Benchmark for Motion Forecasting. - Liting Sun; Rebecca Roelofs; Benjamin Caine; Khaled S. Refaat; Ben Sapp; Scott Ettinger; Wei Chai (ICRA, 2024)

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; et al. (ICLR, 2025)