Ananya Kumar - RankMe

47 papers A* 16A 1Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Generative Classifiers Avoid Shortcut Solutions. ICLR Alexander Cong Li, Ananya Kumar, Deepak Pathak
2025	J	`jnl`	Generative Classifiers Avoid Shortcut Solutions. CoRR Alexander C. Li, Ananya Kumar, Deepak Pathak
2025	J	`jnl`	Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences. CoRR Vaishnavi Shrivastava, Ananya Kumar, Percy Liang
2024	J	`jnl`	Conservative Prediction via Data-Driven Confidence Minimization. Trans. Mach. Learn. Res. Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn
2024	A*	`conf`	How to Fine-Tune Vision Models with SGD. ICLR Ananya Kumar, Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar
2023	—	`conf`	Are Sample-Efficient NLP Models More Robust? ACL (2) Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia
2023	J	`jnl`	Conservative Prediction via Data-Driven Confidence Minimization. CoRR Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn
2023	J	`jnl`	Evolving Domain Adaptation of Pretrained Language Models for Text Classification. CoRR Yun-Shiuan Chuang, Yi Wu, Dhruv Gupta, Rheeya Uppaal, Ananya Kumar, Luhang Sun, Makesh Narsimhan Sreedhar, Sijia Yang, Timothy T. Rogers, Junjie Hu
2023	A*	`conf`	Finetune like you pretrain: Improved finetuning of zero-shot vision models. CVPR Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan
2023	J	`jnl`	Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 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
2023	J	`jnl`	Improving Representational Continuity via Continued Pretraining. CoRR Michael Sun, Ananya Kumar, Divyam Madaan, Percy Liang
2023	J	`jnl`	Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation. CoRR Vaishnavi Shrivastava, Percy Liang, Ananya Kumar
2023	A*	`conf`	Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. ICLR Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn
2022	J	`jnl`	Are Sample-Efficient NLP Models More Robust? CoRR Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia
2022	A*	`conf`	Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations. NeurIPS Jeff Z. HaoChen, Colin Wei, Ananya Kumar, Tengyu Ma
2022	J	`jnl`	Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations. CoRR Jeff Z. HaoChen, Colin Wei, Ananya Kumar, Tengyu Ma
2022	A	`conf`	Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift. UAI Ananya Kumar, Tengyu Ma, Percy Liang, Aditi Raghunathan
2022	J	`jnl`	Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift. CoRR Ananya Kumar, Tengyu Ma, Percy Liang, Aditi Raghunathan
2022	A*	`conf`	Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation. ICML Kendrick Shen, Robbie M. Jones, Ananya Kumar, Sang Michael Xie, Jeff Z. HaoChen, Tengyu Ma, Percy Liang
2022	J	`jnl`	Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation. CoRR Kendrick Shen, Robbie Jones, Ananya Kumar, Sang Michael Xie, Jeff Z. HaoChen, Tengyu Ma, Percy Liang
2022	A*	`conf`	Extending the WILDS Benchmark for Unsupervised Adaptation. ICLR 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
2022	A*	`conf`	Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution. ICLR Ananya Kumar, Aditi Raghunathan, Robbie Matthew Jones, Tengyu Ma, Percy Liang
2022	J	`jnl`	Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution. CoRR Ananya Kumar, Aditi Raghunathan, Robbie Jones, Tengyu Ma, Percy Liang
2022	J	`jnl`	Finetune like you pretrain: Improved finetuning of zero-shot vision models. CoRR Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan
2022	J	`jnl`	Holistic Evaluation of Language Models. CoRR 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
2022	J	`jnl`	How to Fine-Tune Vision Models with SGD. CoRR Ananya Kumar, Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar
2022	A*	`conf`	Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? NeurIPS Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang
2022	J	`jnl`	Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? CoRR Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang
2022	J	`jnl`	Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. CoRR Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn
2021	J	`jnl`	Extending the WILDS Benchmark for Unsupervised Adaptation. CoRR 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
2021	A*	`conf`	In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. ICLR Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang
2021	J	`jnl`	No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets. CoRR Fahim Tajwar, Ananya Kumar, Sang Michael Xie, Percy Liang
2021	A*	`conf`	Selective Classification Can Magnify Disparities Across Groups. ICLR Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang
2020	J	`jnl`	In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. CoRR Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang
2020	J	`jnl`	Selective Classification Can Magnify Disparities Across Groups. CoRR Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang
2020	A*	`conf`	Self-training Avoids Using Spurious Features Under Domain Shift. NeurIPS Yining Chen, Colin Wei, Ananya Kumar, Tengyu Ma
2020	J	`jnl`	Self-training Avoids Using Spurious Features Under Domain Shift. CoRR Yining Chen, Colin Wei, Ananya Kumar, Tengyu Ma
2020	A*	`conf`	Understanding Self-Training for Gradual Domain Adaptation. ICML Ananya Kumar, Tengyu Ma, Percy Liang
2020	J	`jnl`	Understanding Self-Training for Gradual Domain Adaptation. CoRR Ananya Kumar, Tengyu Ma, Percy Liang
2019	—	`conf`	Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. ICLR (Poster) Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy (Dj) Dvijotham, Nicolas Heess, Pushmeet Kohli
2019	A*	`conf`	Verified Uncertainty Calibration. NeurIPS Ananya Kumar, Percy Liang, Tengyu Ma
2019	J	`jnl`	Verified Uncertainty Calibration. CoRR Ananya Kumar, Percy Liang, Tengyu Ma
2018	A*	`conf`	Approximate Convex Hull of Data Streams. ICALP Avrim Blum, Vladimir Braverman, Ananya Kumar, Harry Lang, Lin F. Yang
2018	J	`jnl`	Consistent Generative Query Networks. CoRR Ananya Kumar, S. M. Ali Eslami, Danilo J. Rezende, Marta Garnelo, Fabio Viola, Edward Lockhart, Murray Shanahan
2018	J	`jnl`	Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. CoRR Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy Dvijotham, Nicolas Heess, Pushmeet Kohli
2017	J	`jnl`	Approximate Convex Hull of Data Streams. CoRR Avrim Blum, Vladimir Braverman, Ananya Kumar, Harry Lang, Lin F. Yang
2017	A*	`conf`	Parallel functional arrays. POPL Ananya Kumar, Guy E. Blelloch, Robert Harper