Ananya Kumar

According to our database, Ananya Kumar authored at least 25 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Conservative Prediction via Data-Driven Confidence Minimization.

Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn

Trans. Mach. Learn. Res., 2024

How to Fine-Tune Vision Models with SGD.

Ananya Kumar, Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Holistic Evaluation of Language Models.

Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda

Trans. Mach. Learn. Res., 2023

Evolving Domain Adaptation of Pretrained Language Models for Text Classification.

Yun-Shiuan Chuang, Yi Wu, Dhruv Gupta, Rheeya Uppaal, Ananya Kumar, Luhang Sun, Makesh Narsimhan Sreedhar, Sijia Yang, Timothy T. Rogers, Junjie Hu

CoRR, 2023

Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation.

Vaishnavi Shrivastava, Percy Liang, Ananya Kumar

CoRR, 2023

Improving Representational Continuity via Continued Pretraining.

Michael Sun, Ananya Kumar, Divyam Madaan, Percy Liang

CoRR, 2023

Surgical Fine-Tuning Improves Adaptation to Distribution Shifts.

Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Finetune like you pretrain: Improved finetuning of zero-shot vision models.

Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Are Sample-Efficient NLP Models More Robust?

Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift.

Ananya Kumar, Tengyu Ma, Percy Liang, Aditi Raghunathan

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations.

Jeff Z. HaoChen, Colin Wei, Ananya Kumar, Tengyu Ma

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?

Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation.

Kendrick Shen, Robbie M. Jones, Ananya Kumar, Sang Michael Xie, Jeff Z. HaoChen, Tengyu Ma, Percy Liang

Proceedings of the International Conference on Machine Learning, 2022

Extending the WILDS Benchmark for Unsupervised Adaptation.

Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution.

Ananya Kumar, Aditi Raghunathan, Robbie Matthew Jones, Tengyu Ma, Percy Liang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets.

Fahim Tajwar, Ananya Kumar, Sang Michael Xie, Percy Liang

CoRR, 2021

In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness.

Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang

Proceedings of the 9th International Conference on Learning Representations, 2021

Selective Classification Can Magnify Disparities Across Groups.

Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Self-training Avoids Using Spurious Features Under Domain Shift.

Yining Chen, Colin Wei, Ananya Kumar, Tengyu Ma

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding Self-Training for Gradual Domain Adaptation.

Ananya Kumar, Tengyu Ma, Percy Liang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Verified Uncertainty Calibration.

Ananya Kumar, Percy Liang, Tengyu Ma

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures.

Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy (Dj) Dvijotham, Nicolas Heess, Pushmeet Kohli

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Consistent Generative Query Networks.

Ananya Kumar, S. M. Ali Eslami, Danilo J. Rezende, Marta Garnelo, Fabio Viola, Edward Lockhart, Murray Shanahan

CoRR, 2018

Approximate Convex Hull of Data Streams.

Avrim Blum, Vladimir Braverman, Ananya Kumar, Harry Lang, Lin F. Yang

Proceedings of the 45th International Colloquium on Automata, Languages, and Programming, 2018

2017

Parallel functional arrays.

Ananya Kumar, Guy E. Blelloch, Robert Harper

Proceedings of the 44th ACM SIGPLAN Symposium on Principles of Programming Languages, 2017