Gabriel Ilharco

Reproducible Scaling Laws for Contrastive Language-Image Learning

Mehdi Cherti, Romain Beaumont, Ross Wightman et al. · 2023 · 430 citations

Engineering, Machine Learning, Language Learning +19

Robust fine-tuning of zero-shot models

Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 353 citations

Few-shot Learning, Convolutional Neural Network, Engineering +18

Evaluating Models’ Local Decision Boundaries via Contrast Sets

Matt Gardner, Yoav Artzi, Victoria Basmov et al. · 2020 · 254 citations · Full text

Engineering, Machine Learning, Corpus Linguistics +23

Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

Jesse Dodge, Gabriel Ilharco, Roy Schwartz et al. · arXiv (Cornell University) · 2020 · 216 citations · Full text

Llm Fine-tuning, Engineering, Machine Learning +23

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre et al. · arXiv (Cornell University) · 2022 · 205 citations · Full text

Few-shot Learning, Llm Fine-tuning, Engineering +26