Rebecca Roelofs

According to our database, Rebecca Roelofs authored at least 27 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

Gemini: A Family of Highly Capable Multimodal Models.

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.

CoRR, 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 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios.

Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine

IROS, 2023

Multi-Agent Reachability Calibration with Conformal Prediction.

Anish Muthali, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust, Claire J. Tomlin

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

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

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

When does dough become a bagel? Analyzing the remaining mistakes on ImageNet.

Vijay Vasudevan, Benjamin Caine, Raphael Gontijo Lopes, Sara Fridovich-Keil, Rebecca Roelofs

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Spectral Bias in Practice: The Role of Function Frequency in Generalization.

Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the International Conference on Machine Learning, 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, Ben Sapp, Zhifeng Chen, Jonathon Shlens

Proceedings of the Tenth International Conference on Learning Representations, 2022

AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation.

David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alexey Kurakin

Proceedings of the Tenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Mitigating Bias in Calibration Error Estimation.

Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

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, Ashish Venugopal, David Weiss, Benjamin Sapp, Zhifeng Chen, Jonathon Shlens

CoRR, 2021

Pseudo-labeling for Scalable 3D Object Detection.

Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan, Jiquan Ngiam, Yuning Chai, Zhifeng Chen, Jonathon Shlens

CoRR, 2021

Soft Calibration Objectives for Neural Networks.

Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael C. Mozer, Becca Roelofs

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Do Image Classifiers Generalize Across Time?

Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Evaluating Machine Accuracy on ImageNet.

Vaishaal Shankar, Rebecca Roelofs, Horia Mania, Alex Fang, Benjamin Recht, Ludwig Schmidt

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Measuring Generalization and Overfitting in Machine Learning.

Rebecca Roelofs

PhD thesis, 2019

A systematic framework for natural perturbations from videos.

Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt

CoRR, 2019

A Meta-Analysis of Overfitting in Machine Learning.

Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Do ImageNet Classifiers Generalize to ImageNet?

Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Do CIFAR-10 Classifiers Generalize to CIFAR-10?

Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar

CoRR, 2018

2017

The Marginal Value of Adaptive Gradient Methods in Machine Learning.

Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nati Srebro, Benjamin Recht

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Sequential operator splitting for constrained nonlinear optimal control.

Vikas Sindhwani, Rebecca Roelofs, Mrinal Kalakrishnan

Proceedings of the 2017 American Control Conference, 2017

2016

Large Scale Kernel Learning using Block Coordinate Descent.

Stephen Tu, Rebecca Roelofs, Shivaram Venkataraman, Benjamin Recht

CoRR, 2016

2012

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

Proceedings of the Strategies, 2012