Killamsetty, Krishnateja
- GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
2021/02/27 by Krishnateja Killamsetty, Durga Sivasubramanian, Killamsetty, Krishnateja +7 · 32 citations
Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs
2024/12/17 by Aldo Pareja, Nikhil Shivakumar Nayak, Pareja, Aldo +22 · 15 citations
Computer Science · #Digital Rights Management and Security
- SIMILAR: Submodular Information Measures Based Active Learning In\n Realistic Scenarios
2021/07/01 by Suraj Kothawade, Kothawade, Suraj, Nathan Beck +5 · 5 citations
Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #SARS-CoV-2 detection and testing
- GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning
2021/11/18 by Tiwari, Rishabh, Killamsetty, Krishnateja, Iyer, Rishabh +1 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
2021/06/14 by Killamsetty, Krishnateja, Zhao, Xujiang, Chen, Feng +1 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
2022/03/15 by Krishnateja Killamsetty, Killamsetty, Krishnateja, Guttu Sai Abhishek +10 · 2 citations
Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
- MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning
2023/01/30 by Alexandre Evfimievski, Killamsetty, Krishnateja, Evfimievski, Alexandre V. +8 · 1 citation
Computer Science · #Machine Learning and Data Classification #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning
- DELIFT: Data Efficient Language model Instruction Fine Tuning
2024/11/07 by Ishika Agarwal, Agarwal, Ishika, Krishnateja Killamsetty +5 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- SCoRe: Submodular Combinatorial Representation Learning
2023/09/29 by Anay Majee, Majee, Anay, Suraj Kothawade +4 · 3 citations
Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)