Ludwig Schmidt
- Towards Deep Learning Models Resistant to Adversarial Attacks
2017/06/19 by Aleksander Mądry, Aleksandar Makelov, Madry, Aleksander +7 · 646 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Advanced Neural Network Applications
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
2022/06/09 by Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448 · 3 voices · 149 citations
#cs.CL #cs.AI #cs.CY #cs.LG #stat.ML
- LAION-5B: An open large-scale dataset for training next generation image-text models
2022/10/16 by Christoph Schuhmann, Schuhmann, Christoph, Romain Beaumont +28 · 535 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Do CIFAR-10 Classifiers Generalize to CIFAR-10?
2018/06/01 by Benjamin Recht, Rebecca Roelofs, Recht, Benjamin +5 · 2 voices · 33 citations
Computer Science · Mathematics · #Advanced Neural Network Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #cs.LG #stat.ML
- Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
2022/03/10 by Mitchell Wortsman, Gabriel Ilharco, Wortsman, Mitchell +19 · 3 voices · 187 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #cs.CL #cs.CV #cs.LG
- Objaverse: A Universe of Annotated 3D Objects
2022/12/15 by Matt Deitke, Dustin Schwenk, Deitke, Matt +17 · 1 voice · 235 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Human Pose and Action Recognition #Multimodal Machine Learning Applications #Robotics (cs.RO) #cs.AI #cs.CV #cs.GR #cs.RO
- Do ImageNet Classifiers Generalize to ImageNet?
2019/02/13 by Benjamin Recht, Recht, Benjamin, Rebecca Roelofs +5 · 1 voice · 144 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis #cs.CV #cs.LG #stat.ML
- GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment
2023/10/17 by Dhruba Ghosh, Hanna Hajishirzi, Ghosh, Dhruba +3 · 260 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Handwritten Text Recognition Techniques
- Measuring and Narrowing the Compositionality Gap in Language Models
2022/10/07 by Ofir Press, Press, Ofir, Muru Zhang +8 · 188 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Software Engineering Research
- DataComp-LM: In search of the next generation of training sets for language models
2024/06/17 by Jeffrey Li, Li, Jeffrey, Alex Chengyu Fang +121 · 2 voices · 93 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG
- Editing Models with Task Arithmetic
2022/12/08 by Gabriel Ilharco, Marco Túlio Ribeiro, Ilharco, Gabriel +11 · 164 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Robust fine-tuning of zero-shot models
2021/09/04 by Mitchell Wortsman, Gabriel Ilharco, Wortsman, Mitchell +19 · 75 citations
Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI #Advanced Neural Network Applications
- DataComp: In search of the next generation of multimodal datasets
2023/04/27 by Samir Yitzhak Gadre, Gadre, Samir Yitzhak, Gabriel Ilharco +65 · 84 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
- OpenThoughts: Data Recipes for Reasoning Models
2025/06/04 by Etash Guha, Guha, Etash, Ryan Marten +102 · 2 voices · 69 citations
Computer Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #Mathematics, Computing, and Information Processing #cs.LG
- CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation
2022/03/20 by Samir Yitzhak Gadre, Gadre, Samir Yitzhak, Mitchell Wortsman +7 · 51 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Advanced Neural Network Applications
- OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
2023/08/02 by Anas Awadalla, Irena Gao, Awadalla, Anas +29 · 58 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques
- Retiring Adult: New Datasets for Fair Machine Learning
2021/08/10 by Frances Ding, Ding, Frances, Moritz Hardt +5 · 40 citations
Environmental Science · Social Sciences · #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Health, Environment, Cognitive Aging #Insurance, Mortality, Demography, Risk Management #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Measuring Robustness to Natural Distribution Shifts in Image Classification
2020/07/01 by Rohan Taori, Achal Dave, Taori, Rohan +9 · 32 citations
Computer Science · Medicine · #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Data Filtering Networks
2023/09/29 by Alex Chengyu Fang, Albin Madappally Jose, Fang, Alex +9 · 42 citations
Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Domain Adaptation and Few-Shot Learning
- Exploring the Landscape of Spatial Robustness
2017/12/07 by Logan Engstrom, Brandon Tran, Engstrom, Logan +7 · 34 citations
Environmental Science · #Land Use and Ecosystem Services
- Practical and Optimal LSH for Angular Distance
2015/09/09 by Alexandr Andoni, Piotr Indyk, Andoni, Alexandr +7 · 23 citations
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Computational Geometry (cs.CG) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Robotics and Sensor-Based Localization #Video Surveillance and Tracking Methods
- Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text
2023/04/14 by Wanrong Zhu, Jack Hessel, Zhu, Wanrong +17 · 24 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Accuracy on the Line: On the Strong Correlation Between\n Out-of-Distribution and In-Distribution Generalization
2021/07/09 by J. J. Miller, Miller, John, Rohan Taori +15 · 18 citations
Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Unlabeled Data Improves Adversarial Robustness
2019/05/31 by Yair Carmon, Carmon, Yair, Aditi Raghunathan +7 · 21 citations
Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning
- xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
2024/08/16 by Le Xue, Xue, Le, Manli Shu +57 · 36 citations
Computer Science · #Speech and dialogue systems #Multi-Agent Systems and Negotiation
- Patching open-vocabulary models by interpolating weights
2022/08/10 by Gabriel Ilharco, Mitchell Wortsman, Ilharco, Gabriel +13 · 18 citations
Computer Science · Medicine · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI
- SWE-smith: Scaling Data for Software Engineering Agents
2025/04/30 by John Yang, Yang, John, K. Lieret +17 · 58 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning and Data Classification #Scientific Computing and Data Management #Software Engineering (cs.SE) #Software Engineering Research
- MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
2024/06/17 by Anas Awadalla, Awadalla, Anas, Le Xue +26 · 1 voice · 8 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.CV #cs.LG
- Stable and low-precision training for large-scale vision-language models
2023/04/25 by Mitchell Wortsman, Tim Dettmers, Wortsman, Mitchell +9 · 18 citations
Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
- Improving Multimodal Datasets with Image Captioning
2023/07/19 by Thao D. Nguyen, Samir Yitzhak Gadre, Nguyen, Thao +7 · 19 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques
- Why are Visually-Grounded Language Models Bad at Image Classification?
2024/05/28 by Yuhui Zhang, Zhang, Yuhui, Alyssa Unell +11 · 21 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
- Large Scale Transfer Learning for Tabular Data via Language Modeling
2024/06/17 by Josh Gardner, Gardner, Josh, Juan C. Perdomo +3 · 18 citations
Computer Science · #Speech Recognition and Synthesis #Natural Language Processing Techniques #Topic Modeling
- Language models scale reliably with over-training and on downstream tasks
2024/03/13 by Samir Yitzhak Gadre, Gadre, Samir Yitzhak, Georgios Smyrnis +45 · 16 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- Resolving Discrepancies in Compute-Optimal Scaling of Language Models
2024/06/27 by Tomer Porian, Porian, Tomer, Mitchell Wortsman +7 · 17 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Speech Recognition and Synthesis
- Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
2022/05/03 by Alex Chengyu Fang, Gabriel Ilharco, Fang, Alex +11 · 9 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
2026/01/17 by Mike A. Merrill, Alexander G. Shaw, Nicholas Carlini +82 · 3 voices · 8 citations
Computer Science · #cs.SE #cs.AI
- The Effect of Natural Distribution Shift on Question Answering Models
2020/04/29 by J. J. Miller, Miller, John, Karl Krauth +5 · 7 citations
Computer Science · #Topic Modeling #Expert finding and Q&A systems #Multimodal Machine Learning Applications
- Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images
2023/03/13 by Nitzan Bitton-Guetta, Bitton-Guetta, Nitzan, Yonatan Bitton +11 · 8 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
2022/08/10 by Thao D. Nguyen, Gabriel Ilharco, Nguyen, Thao +7 · 7 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Topic Modeling #Web Data Mining and Analysis
- Does progress on ImageNet transfer to real-world datasets?
2023/01/11 by Alex Chengyu Fang, Simon Kornblith, Fang, Alex +3 · 7 citations
Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- A Sober Look at the Robustness of CLIPs to Spurious Features
2024/03/18 by Qizhou Wang, Lin Yong, Wang, Qizhou +9 · 9 citations
Computer Science · #Digital Imaging for Blood Diseases #AI in cancer detection
- Getting it Right: Improving Spatial Consistency in Text-to-Image Models
2024/04/01 by Agneet Chatterjee, Gabriela Ben Melech Stan, Chatterjee, Agneet +19 · 1 voice · 4 citations
Computer Science · Engineering · Social Sciences · #3D Modeling in Geospatial Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Geographic Information Systems Studies #cs.CV
- Approximation Algorithms for Model-Based Compressive Sensing
2015/07/17 by Chinmay Hegde, Piotr Indyk, Ludwig Schmidt · 5 citations
Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Indoor and Outdoor Localization Technologies #Distributed Sensor Networks and Detection Algorithms
- On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel\n Methods and Neural Networks
2017/04/10 by Artūrs Bačkurs, Backurs, Arturs, Piotr Indyk +3 · 3 citations
Computer Science · Engineering · Mathematics · #Computational Complexity (cs.CC) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
- Multilingual Diversity Improves Vision-Language Representations
2024/05/27 by Thao D. Nguyen, Nguyen, Thao, Matthew Wallingford +13 · 6 citations
Arts and Humanities · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Media, Religion, Digital Communication
- Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation
2025/01/06 by Yuhui Zhang, Yuchang Su, Zhang, Yuhui +21 · 10 citations
Social Sciences · Computer Science · #Geographic Information Systems Studies #Multimodal Machine Learning Applications
- Neural Priming for Sample-Efficient Adaptation
2023/06/16 by Matthew Wallingford, Vivek Ramanujan, Wallingford, Matthew +13 · 4 citations
Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Exploring The Landscape of Distributional Robustness for Question Answering Models
2022/10/22 by Anas Awadalla, Mitchell Wortsman, Awadalla, Anas +11 · 3 citations
Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #Expert finding and Q&A systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
- Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models
2025/06/05 by Thao D. Nguyen, Nguyen, Thao, Li Yang +11 · 11 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling #Web Data Mining and Analysis
- Better Alignment with Instruction Back-and-Forth Translation
2024/08/08 by Thao Nguyen, Nguyen, Thao, Jeffrey Li +11 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Neural Kernels Without Tangents
2020/03/04 by Vaishaal Shankar, Alex Chengyu Fang, Shankar, Vaishaal +11 · 2 citations
Computer Science · Physics and Astronomy · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
- Project Alexandria: Towards Freeing Scientific Knowledge from Copyright Burdens via LLMs
2025/02/26 by Christoph Schuhmann, Gollam Rabby, Schuhmann, Christoph +23 · 4 voices · 1 citation
Business, Management and Accounting · Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intellectual Property and Patents #Library Science and Information Systems #Machine Learning (cs.LG) #Wikis in Education and Collaboration #cs.AI #cs.CL #cs.LG
- Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
2023/02/02 by Zhouxing Shi, Nicholas Carlini, Shi, Zhouxing +11 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Data or Language Supervision: What Makes CLIP Better than DINO?
2025/10/13 by Yiming Liu, Yuhui Zhang, Liu, Yiming +7 · 1 citation
Arts and Humanities · #Second Language Learning and Teaching
- Reusing Pre-Training Data at Test Time is a Compute Multiplier
2025/11/06 by Alex Chengyu Fang, Fang, Alex, Thomas C. Voice +7 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling