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Rishabh K. Iyer
- > Home > Persons > Rishabh K. Iyer
Publications
- 2022
- [c53]KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K. Iyer:
A Nested Bi-level Optimization Framework for Robust Few Shot Learning. AAAI 2022: 7176-7184 - [c46]Xujiang Zhao, KrishnaTeja Killamsetty, Rishabh K. Iyer, Feng Chen:
How Out-of-Distribution Data Hurts Semi-Supervised Learning. ICDM 2022: 763-772 - [c45]Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer:
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. ICML 2022: 12826-12842 - [i57]Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer:
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. CoRR abs/2201.12928 (2022) - 2021
- [c31]KrishnaTeja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh K. Iyer:
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. NeurIPS 2021: 14488-14501 - [i44]KrishnaTeja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh K. Iyer:
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. CoRR abs/2106.07760 (2021) - 2020
- [i29]Xujiang Zhao, KrishnaTeja Killamsetty, Rishabh K. Iyer, Feng Chen:
Robust Semi-Supervised Learning with Out of Distribution Data. CoRR abs/2010.03658 (2020) - [i26]KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Rishabh K. Iyer, Feng Chen:
A Reweighted Meta Learning Framework for Robust Few Shot Learning. CoRR abs/2011.06782 (2020)
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