Aditi Raghunathan
Stanford University
H-index: 21
North America-United States
Top articles of Aditi Raghunathan
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Predicting the Performance of Foundation Models via Agreement-on-the-Line | arXiv preprint arXiv:2404.01542 | Aman Mehra Rahul Saxena Taeyoun Kim Christina Baek Zico Kolter | 2024/4/2 |
Jailbreaking is Best Solved by Definition | arXiv preprint arXiv:2403.14725 | Taeyoun Kim Suhas Kotha Aditi Raghunathan | 2024/3/20 |
Repetition Improves Language Model Embeddings | arXiv preprint arXiv:2402.15449 | Jacob Mitchell Springer Suhas Kotha Daniel Fried Graham Neubig Aditi Raghunathan | 2024/2/23 |
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift | Advances in Neural Information Processing Systems | Saurabh Garg Amrith Setlur Zachary Lipton Sivaraman Balakrishnan Virginia Smith | 2024/2/13 |
System and method for test-time adaptation via conjugate pseudolabels | 2024/2/1 | ||
Scaling Laws for Data Filtering--Data Curation cannot be Compute Agnostic | arXiv preprint arXiv:2404.07177 | Sachin Goyal Pratyush Maini Zachary C Lipton Aditi Raghunathan J Zico Kolter | 2024/4/10 |
AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data | arXiv preprint arXiv:2401.10220 | Caroline Choi Yoonho Lee Annie Chen Allan Zhou Aditi Raghunathan | 2024/1/18 |
On the opportunities and risks of foundation models. arXiv 2021 | arXiv preprint arXiv:2108.07258 | Rishi Bommasani Drew A Hudson Ehsan Adeli Russ Altman Simran Arora | 2021/8/16 |
Contextual Reliability: When Different Features Matter in Different Contexts | Gaurav Rohit Ghosal Amrith Setlur Daniel S Brown Anca Dragan Aditi Raghunathan | 2023/7/3 | |
Performance of neural networks under distribution shift | 2023/12/21 | ||
Finetune like you pretrain: Improved finetuning of zero-shot vision models | Conference on Computer Vision and Pattern Recognition (CVPR) | Sachin Goyal Ananya Kumar Sankalp Garg Zico Kolter Aditi Raghunathan | 2023 |
Automatically auditing large language models via discrete optimization | International Conference on Machine Learning | Erik Jones Anca Dragan Aditi Raghunathan Jacob Steinhardt | 2023/3/8 |
Multitask Learning Can Improve Worst-Group Outcomes | Transactions on Machine Learning Research | Atharva Kulkarni Lucio M Dery Amrith Setlur Aditi Raghunathan Ameet Talwalkar | 2023/12/5 |
ALP: Action-Aware Embodied Learning for Perception | arXiv preprint arXiv:2306.10190 | Xinran Liang Anthony Han Wilson Yan Aditi Raghunathan Pieter Abbeel | 2023/6/16 |
Reliable Test-Time Adaptation via Agreement-on-the-Line | arXiv preprint arXiv:2310.04941 | Eungyeup Kim Mingjie Sun Aditi Raghunathan Zico Kolter | 2023/10/7 |
Learning representations that enable generalization in assistive tasks | Jerry Zhi-Yang He Zackory Erickson Daniel S Brown Aditi Raghunathan Anca Dragan | 2023/3/6 | |
Understanding catastrophic forgetting in language models via implicit inference | arXiv preprint arXiv:2309.10105 | Suhas Kotha Jacob Mitchell Springer Aditi Raghunathan | 2023/9/18 |
Bitrate-constrained DRO: Beyond worst case robustness to unknown group shifts | arXiv preprint arXiv:2302.02931 | Amrith Setlur Don Dennis Benjamin Eysenbach Aditi Raghunathan Chelsea Finn | 2023/2/6 |
T-mars: Improving visual representations by circumventing text feature learning | arXiv preprint arXiv:2307.03132 | Pratyush Maini Sachin Goyal Zachary C Lipton J Zico Kolter Aditi Raghunathan | 2023/7/6 |
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift | Ananya Kumar Tengyu Ma Percy Liang Aditi Raghunathan | 2022/8/17 |
