Killamsetty, Krishnateja

13 publications

ICLR 2025 DELIFT: Data Efficient Language Model Instruction Fine-Tuning Ishika Agarwal, Krishnateja Killamsetty, Lucian Popa, Marina Danilevsky

ICLR 2025 Unveiling the Secret Recipe: A Guide for Supervised Fine-Tuning Small LLMs Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava

WACV 2024 Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification Nathan Beck, Krishnateja Killamsetty, Suraj Kothawade, Rishabh Iyer

ICML 2024 SCoRe: Submodular Combinatorial Representation Learning Anay Majee, Suraj Nandkishor Kothawade, Krishnateja Killamsetty, Rishabh K Iyer

AAAI 2022 A Nested Bi-Level Optimization Framework for Robust Few Shot Learning KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K. Iyer

NeurIPS 2022 AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-Parameter Tuning Krishnateja Killamsetty, Guttu Sai Abhishek, Aakriti Lnu, Ganesh Ramakrishnan, Alexandre Evfimievski, Lucian Popa, Rishabh Iyer

CVPR 2022 GCR: Gradient Coreset Based Replay Buffer Selection for Continual Learning Rishabh Tiwari, Krishnateja Killamsetty, Rishabh Iyer, Pradeep Shenoy

NeurIPS 2022 ORIENT: Submodular Mutual Information Measures for Data Subset Selection Under Distribution Shift Athresh Karanam, Krishnateja Killamsetty, Harsha Kokel, Rishabh Iyer

NeurIPSW 2021 A Nested Bi-Level Optimization Framework for Robust Few Shot Learning Krishnateja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K Iyer

AAAI 2021 GLISTER: Generalization Based Data Subset Selection for Efficient and Robust Learning KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer

ICML 2021 GRAD-MATCH: Gradient Matching Based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty, Durga S, Ganesh Ramakrishnan, Abir De, Rishabh Iyer

NeurIPS 2021 RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning Krishnateja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh Iyer

NeurIPS 2021 SIMILAR: Submodular Information Measures Based Active Learning in Realistic Scenarios Suraj Kothawade, Nathan Beck, Krishnateja Killamsetty, Rishabh Iyer