Rebecca Roelofs
14 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(13)
Optimization & Theory Β· Machine Learning
(7)
Artificial Intelligence
(6)
Application Areas
(6)
Deep Learning
(5)
Learning Types
(5)
Core AI
(4)
Core Methods
(4)
Optimization & Theory Β· Deep Learning
(3)
Computer Vision
(2)
Learning Paradigms
(2)
Computer Science
(1)
Natural Language Processing
(1)
Analysis
(1)
Applications
(1)
Keywords
image classification
(4)
autonomous driving
(2)
model ensemble
(2)
stochastic gradient descent
(1)
semi-supervised learning
(1)
neural network training
(1)
benchmark evaluation
(1)
domain generalization
(1)
transfer learning
(1)
object recognition
(1)
video classification
(1)
attention mechanism
(1)
data augmentation
(1)
model evaluation
(1)
multi-label classification
(1)
imitation learning
(1)
confidence calibration
(1)
trajectory prediction
(1)
unsupervised domain adaptation
(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
NeurIPS 2023
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
ICLR 2022
Mitigating Bias in Calibration Error Estimation
AISTATS 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
ICML 2022
Robust Fine-Tuning of Zero-Shot Models
CVPR 2022
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents
ICLR 2022
Spectral Bias in Practice: The Role of Function Frequency in Generalization
NeurIPS 2022
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet
NeurIPS 2022
Do Image Classifiers Generalize Across Time?
ICCV 2021
Evaluating Machine Accuracy on ImageNet
ICML 2020
A Meta-Analysis of Overfitting in Machine Learning
NeurIPS 2019
Do ImageNet Classifiers Generalize to ImageNet?
ICML 2019
The Marginal Value of Adaptive Gradient Methods in Machine Learning
NeurIPS 2017