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Ludwig Schmidt

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Benchmarking Distribution Shift in Tabular Data with TableShift

Dec 14, 2023
Josh Gardner, Zoran Popovic, Ludwig Schmidt

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GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment

Oct 17, 2023
Dhruba Ghosh, Hanna Hajishirzi, Ludwig Schmidt

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Data Filtering Networks

Oct 02, 2023
Alex Fang, Albin Madappally Jose, Amit Jain, Ludwig Schmidt, Alexander Toshev, Vaishaal Shankar

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OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Aug 07, 2023
Anas Awadalla, Irena Gao, Josh Gardner, Jack Hessel, Yusuf Hanafy, Wanrong Zhu, Kalyani Marathe, Yonatan Bitton, Samir Gadre, Shiori Sagawa, Jenia Jitsev, Simon Kornblith, Pang Wei Koh, Gabriel Ilharco, Mitchell Wortsman, Ludwig Schmidt

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On the Connection between Pre-training Data Diversity and Fine-tuning Robustness

Jul 24, 2023
Vivek Ramanujan, Thao Nguyen, Sewoong Oh, Ludwig Schmidt, Ali Farhadi

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Improving Multimodal Datasets with Image Captioning

Jul 19, 2023
Thao Nguyen, Samir Yitzhak Gadre, Gabriel Ilharco, Sewoong Oh, Ludwig Schmidt

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Objaverse-XL: A Universe of 10M+ 3D Objects

Jul 11, 2023
Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi

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Are aligned neural networks adversarially aligned?

Jun 26, 2023
Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, Matthew Jagielski, Irena Gao, Anas Awadalla, Pang Wei Koh, Daphne Ippolito, Katherine Lee, Florian Tramer, Ludwig Schmidt

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Neural Priming for Sample-Efficient Adaptation

Jun 24, 2023
Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi

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