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2020 – today
- 2023
[c17]Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia:
Are Sample-Efficient NLP Models More Robust? ACL (2) 2023: 1689-1709- [c16]Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan:
Finetune like you pretrain: Improved finetuning of zero-shot vision models. CVPR 2023: 19338-19347 - [c15]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 - [i22]Michael Sun, Ananya Kumar, Divyam Madaan, Percy Liang:
Improving Representational Continuity via Continued Pretraining. CoRR abs/2302.13289 (2023) - [i21]Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn:
Conservative Prediction via Data-Driven Confidence Minimization. CoRR abs/2306.04974 (2023) - 2022
- [c14]Ananya Kumar, Aditi Raghunathan, Robbie Matthew Jones, Tengyu Ma, Percy Liang:
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution. ICLR 2022 - [c13]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 - [c12]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: 19847-19878 - [c11]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 - [c10]Jeff Z. HaoChen, Colin Wei, Ananya Kumar, Tengyu Ma:
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations. NeurIPS 2022 - [c9]Ananya Kumar, Tengyu Ma, Percy Liang, Aditi Raghunathan:
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift. UAI 2022: 1041-1051 - [i20]Ananya Kumar, Aditi Raghunathan, Robbie Jones, Tengyu Ma, Percy Liang:
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution. CoRR abs/2202.10054 (2022) - [i19]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 abs/2204.00570 (2022) - [i18]Jeff Z. HaoChen, Colin Wei, Ananya Kumar, Tengyu Ma:
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations. CoRR abs/2204.02683 (2022) - [i17]Ananya Kumar, Tengyu Ma, Percy Liang, Aditi Raghunathan:
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift. CoRR abs/2207.08977 (2022) - [i16]Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia:
Are Sample-Efficient NLP Models More Robust? CoRR abs/2210.06456 (2022) - [i15]Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn:
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. CoRR abs/2210.11466 (2022) - [i14]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 abs/2211.09110 (2022) - [i13]Ananya Kumar, Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar:
How to Fine-Tune Vision Models with SGD. CoRR abs/2211.09359 (2022) - [i12]Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang:
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? CoRR abs/2211.13972 (2022) - [i11]Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan:
Finetune like you pretrain: Improved finetuning of zero-shot vision models. CoRR abs/2212.00638 (2022) - 2021
- [c8]Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang:
Selective Classification Can Magnify Disparities Across Groups. ICLR 2021 - [c7]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 - [i10]Fahim Tajwar, Ananya Kumar, Sang Michael Xie, Percy Liang:
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets. CoRR abs/2109.05554 (2021) - [i9]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 abs/2112.05090 (2021) - 2020
- [c6]Ananya Kumar, Tengyu Ma, Percy Liang:
Understanding Self-Training for Gradual Domain Adaptation. ICML 2020: 5468-5479 - [c5]Yining Chen, Colin Wei, Ananya Kumar, Tengyu Ma:
Self-training Avoids Using Spurious Features Under Domain Shift. NeurIPS 2020 - [i8]Ananya Kumar, Tengyu Ma, Percy Liang:
Understanding Self-Training for Gradual Domain Adaptation. CoRR abs/2002.11361 (2020) - [i7]Yining Chen, Colin Wei, Ananya Kumar, Tengyu Ma:
Self-training Avoids Using Spurious Features Under Domain Shift. CoRR abs/2006.10032 (2020) - [i6]Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang:
Selective Classification Can Magnify Disparities Across Groups. CoRR abs/2010.14134 (2020) - [i5]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 abs/2012.04550 (2020)
2010 – 2019
- 2019
- [c4]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 - [c3]Ananya Kumar, Percy Liang, Tengyu Ma:
Verified Uncertainty Calibration. NeurIPS 2019: 3787-3798 - [i4]Ananya Kumar, Percy Liang, Tengyu Ma:
Verified Uncertainty Calibration. CoRR abs/1909.10155 (2019) - 2018
- [c2]Avrim Blum, Vladimir Braverman, Ananya Kumar, Harry Lang, Lin F. Yang:
Approximate Convex Hull of Data Streams. ICALP 2018: 21:1-21:13 - [i3]Ananya Kumar, S. M. Ali Eslami, Danilo J. Rezende, Marta Garnelo, Fabio Viola, Edward Lockhart, Murray Shanahan:
Consistent Generative Query Networks. CoRR abs/1807.02033 (2018) - [i2]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 abs/1812.01647 (2018) - 2017
- [c1]Ananya Kumar, Guy E. Blelloch, Robert Harper:
Parallel functional arrays. POPL 2017: 706-718 - [i1]Avrim Blum, Vladimir Braverman, Ananya Kumar, Harry Lang, Lin F. Yang:
Approximate Convex Hull of Data Streams. CoRR abs/1712.04564 (2017)
Coauthor Index
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last updated on 2023-09-08 12:51 CEST by the dblp team
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