Gabriel Ilharco

Publications by Year

Research Areas

Topic Modeling, Multimodal Machine Learning Applications, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Machine Learning and Data Classification

Most-Cited Works

• → Reproducible Scaling Laws for Contrastive Language-Image Learning(2023)445 cited
• → Robust fine-tuning of zero-shot models(2022)358 cited
• → Fine-Tuning Pretrained Language Models: Weight Initializations, Data\n Orders, and Early Stopping(2020)263 cited
• → Evaluating Models’ Local Decision Boundaries via Contrast Sets(2020)255 cited
• → Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time(2022)205 cited
• → CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation(2023)124 cited
• → DataComp: In search of the next generation of multimodal datasets(2023)73 cited
• → OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models(2023)70 cited
• Evaluating NLP Models via Contrast Sets(2020)