Ananya Kumar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
7
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Generative Classifiers Avoid Shortcut Solutions. | Alexander Cong Li, Ananya Kumar, Deepak Pathak |
| 2024 | ICLR | How to Fine-Tune Vision Models with SGD. | Ananya Kumar, Ruoqi Shen, Sbastien Bubeck, Suriya Gunasekar |
| 2023 | ACL | Are Sample-Efficient NLP Models More Robust? | Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia |
| 2023 | CVPR | Finetune like you pretrain: Improved finetuning of zero-shot vision models. | Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan |
| 2023 | ICLR | Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. | Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn |
| 2022 | ICLR | Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution. | Ananya Kumar, Aditi Raghunathan, Robbie Matthew Jones, Tengyu Ma, Percy Liang |
| 2022 | ICLR | 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 |
| 2022 | ICML | 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 |
| 2022 | UAI | Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift. | Ananya Kumar, Tengyu Ma, Percy Liang, Aditi Raghunathan |
| 2021 | ICLR | Selective Classification Can Magnify Disparities Across Groups. | Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang |
| 2021 | ICLR | 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 |
| 2020 | ICML | Understanding Self-Training for Gradual Domain Adaptation. | Ananya Kumar, Tengyu Ma, Percy Liang |
| 2019 | ICLR | Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. | Jonathan Uesato, Ananya Kumar, Csaba Szepesvri, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy (Dj) Dvijotham, Nicolas Heess, Pushmeet Kohli |
| 2018 | ICALP | Approximate Convex Hull of Data Streams. | Avrim Blum, Vladimir Braverman, Ananya Kumar, Harry Lang, Lin F. Yang |
| 2017 | POPL | Parallel functional arrays. | Ananya Kumar, Guy E. Blelloch, Robert Harper |