Ananya Kumar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 44

Top Topics

Domain Adaptation

High Confidence

Top Venues

Publications

Ananya Kumar, Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar
How to Fine-Tune Vision Models with SGD. ICLR (2024)
Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn
Conservative Prediction via Data-Driven Confidence Minimization. Trans. Mach. Learn. Res. 2024 (2024)
Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia
Are Sample-Efficient NLP Models More Robust? ACL (2) (2023)
Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. ICLR (2023)
Michael Sun, Ananya Kumar, Divyam Madaan, Percy Liang
Improving Representational Continuity via Continued Pretraining. CoRR (2023)
Vaishnavi Shrivastava, Percy Liang, Ananya Kumar
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation. CoRR (2023)
Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan
Finetune like you pretrain: Improved finetuning of zero-shot vision models. CVPR (2023)
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
Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 2023 (2023)
Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn
Conservative Prediction via Data-Driven Confidence Minimization. CoRR (2023)
Yun-Shiuan Chuang, Yi Wu, Dhruv Gupta, Rheeya Uppaal, Ananya Kumar, Luhang Sun, Makesh Narsimhan Sreedhar, Sijia Yang, Timothy T. Rogers, Junjie Hu
Evolving Domain Adaptation of Pretrained Language Models for Text Classification. CoRR (2023)
Ananya Kumar, Aditi Raghunathan, Robbie Jones, Tengyu Ma, Percy Liang
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution. CoRR (2022)
Kendrick Shen, Robbie Jones, Ananya Kumar, Sang Michael Xie, Jeff Z. HaoChen, Tengyu Ma, Percy Liang
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation. CoRR (2022)
Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia
Are Sample-Efficient NLP Models More Robust? CoRR (2022)
Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. CoRR (2022)
Jeff Z. HaoChen, Colin Wei, Ananya Kumar, Tengyu Ma
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations. CoRR (2022)
Ananya Kumar, Tengyu Ma, Percy Liang, Aditi Raghunathan
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift. UAI (2022)
Kendrick Shen, Robbie M. Jones, Ananya Kumar, Sang Michael Xie, Jeff Z. HaoChen, Tengyu Ma, Percy Liang
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation. ICML (2022)
Ananya Kumar, Tengyu Ma, Percy Liang, Aditi Raghunathan
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift. CoRR (2022)
Jeff Z. HaoChen, Colin Wei, Ananya Kumar, Tengyu Ma
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations. NeurIPS (2022)
Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan
Finetune like you pretrain: Improved finetuning of zero-shot vision models. CoRR (2022)
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
Holistic Evaluation of Language Models. CoRR (2022)
Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? NeurIPS (2022)
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
Extending the WILDS Benchmark for Unsupervised Adaptation. ICLR (2022)
Ananya Kumar, Aditi Raghunathan, Robbie Matthew Jones, Tengyu Ma, Percy Liang
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution. ICLR (2022)
Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? CoRR (2022)
Ananya Kumar, Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar
How to Fine-Tune Vision Models with SGD. CoRR (2022)
Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang
Selective Classification Can Magnify Disparities Across Groups. ICLR (2021)
Fahim Tajwar, Ananya Kumar, Sang Michael Xie, Percy Liang
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets. CoRR (2021)
Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. ICLR (2021)
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
Extending the WILDS Benchmark for Unsupervised Adaptation. CoRR (2021)
Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang
Selective Classification Can Magnify Disparities Across Groups. CoRR (2020)
Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. CoRR (2020)
Yining Chen, Colin Wei, Ananya Kumar, Tengyu Ma
Self-training Avoids Using Spurious Features Under Domain Shift. NeurIPS (2020)
Ananya Kumar, Tengyu Ma, Percy Liang
Understanding Self-Training for Gradual Domain Adaptation. CoRR (2020)
Ananya Kumar, Tengyu Ma, Percy Liang
Understanding Self-Training for Gradual Domain Adaptation. ICML (2020)
Yining Chen, Colin Wei, Ananya Kumar, Tengyu Ma
Self-training Avoids Using Spurious Features Under Domain Shift. CoRR (2020)
Ananya Kumar, Percy Liang, Tengyu Ma
Verified Uncertainty Calibration. CoRR (2019)
Ananya Kumar, Percy Liang, Tengyu Ma
Verified Uncertainty Calibration. NeurIPS (2019)
Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy (Dj) Dvijotham, Nicolas Heess, Pushmeet Kohli
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. ICLR (Poster) (2019)
Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy Dvijotham, Nicolas Heess, Pushmeet Kohli
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. CoRR (2018)
Avrim Blum, Vladimir Braverman, Ananya Kumar, Harry Lang, Lin F. Yang
Approximate Convex Hull of Data Streams. ICALP (2018)
Ananya Kumar, S. M. Ali Eslami, Danilo J. Rezende, Marta Garnelo, Fabio Viola, Edward Lockhart, Murray Shanahan
Consistent Generative Query Networks. CoRR (2018)
Ananya Kumar, Guy E. Blelloch, Robert Harper
Parallel functional arrays. POPL (2017)
Avrim Blum, Vladimir Braverman, Ananya Kumar, Harry Lang, Lin F. Yang
Approximate Convex Hull of Data Streams. CoRR (2017)