KrishnaTeja Killamsetty
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
5
Active years
2021–2022
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | AAAI | A Nested Bi-level Optimization Framework for Robust Few Shot Learning. | KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K. Iyer |
| 2022 | ACL | Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. | Ayush Maheshwari, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer, Marina Danilevsky, Lucian Popa |
| 2022 | CVPR | GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning. | Rishabh Tiwari, KrishnaTeja Killamsetty, Rishabh K. Iyer, Pradeep Shenoy |
| 2022 | ICDM | How Out-of-Distribution Data Hurts Semi-Supervised Learning. | Xujiang Zhao, KrishnaTeja Killamsetty, Rishabh K. Iyer, Feng Chen |
| 2021 | AAAI | GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. | KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer |
| 2021 | ACL | Semi-Supervised Data Programming with Subset Selection. | Ayush Maheshwari, Oishik Chatterjee, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer |
| 2021 | ICML | GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training. | KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer |