Gabriel Ilharco
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
7
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Language models scale reliably with over-training and on downstream tasks. | Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Luca Soldaini, Jenia Jitsev, Alex Dimakis, Gabriel Ilharco, Pang Wei Koh, Shuran Song, Thomas Kollar, et al. |
| 2023 | CVPR | Reproducible Scaling Laws for Contrastive Language-Image Learning. | Mehdi Cherti, Romain Beaumont, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade Gordon, Christoph Schuhmann, Ludwig Schmidt, Jenia Jitsev |
| 2023 | CVPR | CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation. | Samir Yitzhak Gadre, Mitchell Wortsman, Gabriel Ilharco, Ludwig Schmidt, Shuran Song |
| 2023 | EMNLP | TaskWeb: Selecting Better Source Tasks for Multi-task NLP. | Joongwon Kim, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi |
| 2023 | ICCV | Adaptive Testing of Computer Vision Models. | Irena Gao, Gabriel Ilharco, Scott M. Lundberg, Marco Tlio Ribeiro |
| 2023 | ICLR | Editing models with task arithmetic. | Gabriel Ilharco, Marco Tlio Ribeiro, Mitchell Wortsman, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi |
| 2022 | CVPR | 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 |
| 2022 | EMNLP | Exploring The Landscape of Distributional Robustness for Question Answering Models. | Anas Awadalla, Mitchell Wortsman, Gabriel Ilharco, Sewon Min, Ian Magnusson, Hannaneh Hajishirzi, Ludwig Schmidt |
| 2022 | ICML | Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP). | Alex Fang, Gabriel Ilharco, Mitchell Wortsman, Yuhao Wan, Vaishaal Shankar, Achal Dave, Ludwig Schmidt |
| 2022 | ICML | 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 |
| 2021 | EMNLP | Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus. | Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, Matt Gardner |
| 2021 | EMNLP | Finetuning Pretrained Transformers into RNNs. | Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith |
| 2021 | ICCV | Contrasting Contrastive Self-Supervised Representation Learning Pipelines. | Klemen Kotar, Gabriel Ilharco, Ludwig Schmidt, Kiana Ehsani, Roozbeh Mottaghi |
| 2021 | ICLR | MultiModalQA: complex question answering over text, tables and images. | Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant |
| 2021 | NAACL | Probing Contextual Language Models for Common Ground with Visual Representations. | Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi |
| 2020 | EMNLP | Evaluating Models' Local Decision Boundaries via Contrast Sets. | Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou |
| 2020 | EMNLP | High Performance Natural Language Processing. | Gabriel Ilharco, Cesar Ilharco, Iulia Turc, Tim Dettmers, Felipe Ferreira, Kenton Lee |
| 2019 | CoNLL | Large-Scale Representation Learning from Visually Grounded Untranscribed Speech. | Gabriel Ilharco, Yuan Zhang, Jason Baldridge |