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Disambiguation of "Kumar, Ananya"

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Surgical Fine-Tuning Improves Adaptation to Distribution Shifts.

, , , , , , and . ICLR, OpenReview.net, (2023)

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Ananya Muddukrishna

Kamlesh Kumar

Surendra Kumar

Rohini Kumar

Pardeep Kumar

 

Other publications of authors with the same name

Evolving Domain Adaptation of Pretrained Language Models for Text Classification., , , , , , , , , and . CoRR, (2023)Verified Uncertainty Calibration., , and . NeurIPS, page 3787-3798. (2019)Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations., , , and . NeurIPS, (2022)Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures., , , , , , , , and . ICLR (Poster), OpenReview.net, (2019)Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution., , , , and . ICLR, OpenReview.net, (2022)Understanding Self-Training for Gradual Domain Adaptation., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5468-5479. PMLR, (2020)Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift., , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1041-1051. PMLR, (2022)Surgical Fine-Tuning Improves Adaptation to Distribution Shifts., , , , , , and . ICLR, OpenReview.net, (2023)Approximate Convex Hull of Data Streams., , , , and . ICALP, volume 107 of LIPIcs, page 21:1-21:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness., , , , , and . CoRR, (2020)