← Authors

Rebecca Roelofs

14 papers · 2017–2025 · 6 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (8) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (25) πŸ‘₯ Mega-Team (22) πŸ‘‘ Triple Crown ❓ The Questioner (3) πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (51) πŸ’Ž Century Club (14) ⚑ Prolific Year (7)

Conferences

NIPS (5) ICLR (3) ICML (3) AISTATS (1) CVPR (1) ICCV (1)

Top co-authors

Ludwig Schmidt (6) Benjamin Recht (5) Vaishaal Shankar (4) Sara Fridovich-Keil (3) Raphael Gontijo Lopes (3) Jonathon Shlens (2) Simon Kornblith (2) Hongseok Namkoong (2) Gabriel Ilharco (2) Vijay Vasudevan (2)

Keywords

image classification (4) model ensemble (2) stochastic gradient descent (1) benchmark evaluation (1) neural network training (1) imitation learning (1) object recognition (1) neural network optimization (1) video classification (1) data augmentation (1) model evaluation (1) multi-label classification (1) autonomous driving (1) confidence calibration (1) model merging (1) transfer learning (1) loss landscape (1) distribution shift (1) classification accuracy (1) zero-shot learning (1)

Papers

Training Language Models to Self-Correct via Reinforcement Learning ICLR 2025
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research NIPS 2023
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet NIPS 2022
Spectral Bias in Practice: The Role of Function Frequency in Generalization NIPS 2022
Mitigating Bias in Calibration Error Estimation AISTATS 2022
Robust Fine-Tuning of Zero-Shot Models CVPR 2022
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents ICLR 2022
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation ICLR 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time ICML 2022
Do Image Classifiers Generalize Across Time? ICCV 2021
Evaluating Machine Accuracy on ImageNet ICML 2020
Do ImageNet Classifiers Generalize to ImageNet? ICML 2019
A Meta-Analysis of Overfitting in Machine Learning NIPS 2019
The Marginal Value of Adaptive Gradient Methods in Machine Learning NIPS 2017