KrishnaTeja Killamsetty

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 21

Top Topics

Subset Selection

Supervised Learning

Mutual Information

Realistic Scenarios

Top Venues

Publications

KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K. Iyer
A Nested Bi-level Optimization Framework for Robust Few Shot Learning. AAAI (2022)
Rishabh Tiwari, KrishnaTeja Killamsetty, Rishabh K. Iyer, Pradeep Shenoy
GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning. CVPR (2022)
Athresh Karanam, KrishnaTeja Killamsetty, Harsha Kokel, Rishabh K. Iyer
ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift. NeurIPS (2022)
KrishnaTeja Killamsetty, Guttu Sai Abhishek, Aakriti, Alexandre V. Evfimievski, Lucian Popa, Ganesh Ramakrishnan, Rishabh K. Iyer
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning. CoRR (2022)
Ayush Maheshwari, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer, Marina Danilevsky, Lucian Popa
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. ACL (Findings) (2022)
KrishnaTeja Killamsetty, Guttu Sai Abhishek, Aakriti, Ganesh Ramakrishnan, Alexandre V. Evfimievski, Lucian Popa, Rishabh K. Iyer
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning. NeurIPS (2022)
Xujiang Zhao, KrishnaTeja Killamsetty, Rishabh K. Iyer, Feng Chen
How Out-of-Distribution Data Hurts Semi-Supervised Learning. ICDM (2022)
KrishnaTeja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh K. Iyer
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. CoRR (2021)
Rishabh Tiwari, KrishnaTeja Killamsetty, Rishabh K. Iyer, Pradeep Shenoy
GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning. CoRR (2021)
KrishnaTeja Killamsetty, Durga Sivasubramanian, Baharan Mirzasoleiman, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer
GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning. CoRR (2021)
Ayush Maheshwari, Oishik Chatterjee, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer
Semi-Supervised Data Programming with Subset Selection. ACL/IJCNLP (Findings) (2021)
KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training. ICML (2021)
KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. AAAI (2021)
KrishnaTeja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh K. Iyer
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. NeurIPS (2021)
Suraj Kothawade, Nathan Beck, KrishnaTeja Killamsetty, Rishabh K. Iyer
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios. NeurIPS (2021)
Ayush Maheshwari, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer, Marina Danilevsky, Lucian Popa
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. CoRR (2021)
Suraj Kothawade, Nathan Beck, KrishnaTeja Killamsetty, Rishabh K. Iyer
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios. CoRR (2021)
KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. CoRR (2020)
KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Rishabh K. Iyer, Feng Chen
A Reweighted Meta Learning Framework for Robust Few Shot Learning. CoRR (2020)
Ayush Maheshwari, Oishik Chatterjee, KrishnaTeja Killamsetty, Rishabh K. Iyer, Ganesh Ramakrishnan
Data Programming using Semi-Supervision and Subset Selection. CoRR (2020)
Xujiang Zhao, KrishnaTeja Killamsetty, Rishabh K. Iyer, Feng Chen
Robust Semi-Supervised Learning with Out of Distribution Data. CoRR (2020)