Durga Sivasubramanian

17 papers A* 5A 2Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Unified Wisdom: Harnessing Collaborative Learning to Improve Efficacy of Knowledge Distillation. Trans. Mach. Learn. Res. Atharva Abhijit Tambat, Durga Sivasubramanian, Ganesh Ramakrishnan, Pradeep Shenoy
2024	A	`conf`	Gradient Coreset for Federated Learning. WACV Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan
2024	J	`jnl`	Gradient Coreset for Federated Learning. CoRR Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan
2024	A	`conf`	Using Early Readouts to Mediate Featural Bias in Distillation. WACV Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy
2023	A*	`conf`	Adaptive Mixing of Auxiliary Losses in Supervised Learning. AAAI Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan
2023	A*	`conf`	Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models. ICML Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty, Bhuvan Reddy Gangula, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer, Abir De
2023	J	`jnl`	Using Early Readouts to Mediate Featural Bias in Distillation. CoRR Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy
2022	J	`jnl`	ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing. CoRR Durga Sivasubramanian, Pradeep Shenoy, Prathosh AP, Ganesh Ramakrishnan
2022	—	`conf`	Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training. EMNLP (Findings) Ashish R. Mittal, Durga Sivasubramanian, Rishabh K. Iyer, Preethi Jyothi, Ganesh Ramakrishnan
2022	J	`jnl`	Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training. CoRR Ashish R. Mittal, Durga Sivasubramanian, Rishabh K. Iyer, Preethi Jyothi, Ganesh Ramakrishnan
2021	J	`jnl`	Effective Evaluation of Deep Active Learning on Image Classification Tasks. CoRR Nathan Beck, Durga Sivasubramanian, Apurva Dani, Ganesh Ramakrishnan, Rishabh K. Iyer
2021	A*	`conf`	GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. AAAI Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer
2021	J	`jnl`	GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning. CoRR Krishnateja Killamsetty, Durga Sivasubramanian, Baharan Mirzasoleiman, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer
2021	A*	`conf`	GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training. ICML Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer
2021	A*	`conf`	Training Data Subset Selection for Regression with Controlled Generalization Error. ICML Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De
2021	J	`jnl`	Training Data Subset Selection for Regression with Controlled Generalization Error. CoRR Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De
2020	J	`jnl`	GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. CoRR Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer