Neural Kernels Without Tangents. - Vaishaal Shankar; Alex Fang; Wenshuo Guo; Sara Fridovich-Keil; Jonathan Ragan-Kelley; Ludwig Schmidt; Benjamin Recht (ICML, 2020)

Evaluating Machine Accuracy on ImageNet. - Vaishaal Shankar; Rebecca Roelofs; Horia Mania; Alex Fang; Benjamin Recht; Ludwig Schmidt (ICML, 2020)

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 (ICML, 2022)

Neural Radiance Field Codebooks. - Matthew Wallingford; Aditya Kusupati; Alex Fang; Vivek Ramanujan; Aniruddha Kembhavi; Roozbeh Mottaghi; Ali Farhadi (ICLR, 2023)

Does progress on ImageNet transfer to real-world datasets? - Alex Fang; Simon Kornblith; Ludwig Schmidt (NeurIPS, 2023)

DataComp: In search of the next generation of multimodal datasets. - Samir Yitzhak Gadre; Gabriel Ilharco; Alex Fang; Jonathan Hayase; Georgios Smyrnis; Thao Nguyen; Ryan Marten; Mitchell Wortsman; Dhruba Ghosh; Jieyu Zhang 001; Eyal Orgad; Rahim Entezari; et al. (NeurIPS, 2023)

Neural Priming for Sample-Efficient Adaptation. - Matthew Wallingford; Vivek Ramanujan; Alex Fang; Aditya Kusupati; Roozbeh Mottaghi; Aniruddha Kembhavi; Ludwig Schmidt; Ali Farhadi (NeurIPS, 2023)

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text. - Wanrong Zhu; Jack Hessel; Anas Awadalla; Samir Yitzhak Gadre; Jesse Dodge; Alex Fang; Youngjae Yu; Ludwig Schmidt; William Yang Wang; Yejin Choi 001 (NeurIPS, 2023)

Data Filtering Networks. - Alex Fang; Albin Madappally Jose; Amit Jain; Ludwig Schmidt; Alexander T. Toshev; Vaishaal Shankar (ICLR, 2024)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning. - Yiping Wang; Yifang Chen 001; Wendan Yan; Alex Fang; Wenjing Zhou; Kevin G. Jamieson; Simon S. Du (NeurIPS, 2024)

URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images. - Qiuyu Chen; Aaron Walsman; Marius Memmel; Kaichun Mo; Alex Fang; Dieter Fox; Abhishek Gupta 004 (Robotics: Science and Systems, 2024)

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; et al. (CoRR, 2024)

URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images. - Zoey Qiuyu Chen; Aaron Walsman; Marius Memmel; Kaichun Mo; Alex Fang; Karthikeya Vemuri; Alan Wu; Dieter Fox; Abhishek Gupta 004 (CoRR, 2024)

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; et al. (ICLR, 2025)

Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality. - Alex Fang; Hadi Pouransari; Matt Jordan; Alexander Toshev; Vaishaal Shankar; Ludwig Schmidt; Tom Gunter (CoRR, 2025)

Language Models Improve When Pretraining Data Matches Target Tasks. - David Mizrahi; Anders Boesen Lindbo Larsen; Jesse Allardice; Suzie Petryk; Yuri Gorokhov; Jeffrey Li; Alex Fang; Josh Gardner 001; Tom Gunter; Afshin Dehghan (CoRR, 2025)