Kumar, Ananya

26 publications

ICLR 2025 Generative Classifiers Avoid Shortcut Solutions Alexander Cong Li, Ananya Kumar, Deepak Pathak

TMLR 2024 Conservative Prediction via Data-Driven Confidence Minimization Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn

ICMLW 2024 Generative Classifiers Avoid Shortcut Solutions Alexander Cong Li, Ananya Kumar, Deepak Pathak

ICLR 2024 How to Fine-Tune Vision Models with SGD Ananya Kumar, Ruoqi Shen, Sebastien Bubeck, Suriya Gunasekar

ICLRW 2023 Conservative Prediction via Transductive Confidence Minimization Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn

CVPR 2023 Finetune like You Pretrain: Improved Finetuning of Zero-Shot Vision Models Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan

TMLR 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 Re, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Andrew 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

ICLR 2023 Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee, Annie S Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn

NeurIPS 2022 Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations Jeff Z. HaoChen, Colin Wei, Ananya Kumar, Tengyu Ma

UAI 2022 Calibrated Ensembles Can Mitigate Accuracy Tradeoffs Under Distribution Shift Ananya Kumar, Tengyu Ma, Percy Liang, Aditi Raghunathan

ICML 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

ICLR 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

ICLR 2022 Fine-Tuning Can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar, Aditi Raghunathan, Robbie Matthew Jones, Tengyu Ma, Percy Liang

NeurIPS 2022 Picking on the Same Person: Does Algorithmic Monoculture Lead to Outcome Homogenization? Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang

NeurIPSW 2022 Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee, Annie S Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn

NeurIPSW 2022 Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee, Annie S Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn

NeurIPSW 2021 Calibrated Ensembles: A Simple Way to Mitigate ID-OOD Accuracy Tradeoffs Ananya Kumar, Aditi Raghunathan, Tengyu Ma, Percy Liang

NeurIPSW 2021 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

NeurIPSW 2021 How Does Contrastive Pre-Training Connect Disparate Domains? Kendrick Shen, Robbie Matthew Jones, Ananya Kumar, Sang Michael Xie, Percy Liang

ICLR 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

ICLR 2021 Selective Classification Can Magnify Disparities Across Groups Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang

NeurIPSW 2020 Selective Classification Can Magnify Disparities Across Groups Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang

NeurIPS 2020 Self-Training Avoids Using Spurious Features Under Domain Shift Yining Chen, Colin Wei, Ananya Kumar, Tengyu Ma

ICML 2020 Understanding Self-Training for Gradual Domain Adaptation Ananya Kumar, Tengyu Ma, Percy Liang

ICLR 2019 Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures Jonathan Uesato, Ananya Kumar, Csaba Szepesvari, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy Dvijotham, Nicolas Heess, Pushmeet Kohli

NeurIPS 2019 Verified Uncertainty Calibration Ananya Kumar, Percy Liang, Tengyu Ma