Durga Sivasubramanian

According to our database, Durga Sivasubramanian authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Using Early Readouts to Mediate Featural Bias in Distillation.

Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Gradient Coreset for Federated Learning.

Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models.

Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty, Bhuvan Reddy Gangula, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer, Abir De

Proceedings of the International Conference on Machine Learning, 2023

Adaptive Mixing of Auxiliary Losses in Supervised Learning.

Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing.

Durga Sivasubramanian, Pradeep Shenoy, Prathosh AP, Ganesh Ramakrishnan

CoRR, 2022

Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training.

Ashish R. Mittal, Durga Sivasubramanian, Rishabh K. Iyer, Preethi Jyothi, Ganesh Ramakrishnan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Effective Evaluation of Deep Active Learning on Image Classification Tasks.

Nathan Beck, Durga Sivasubramanian, Apurva Dani, Ganesh Ramakrishnan, Rishabh K. Iyer

CoRR, 2021

GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning.

KrishnaTeja Killamsetty, Durga Sivasubramanian, Baharan Mirzasoleiman, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer

CoRR, 2021

Training Data Subset Selection for Regression with Controlled Generalization Error.

Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De

Proceedings of the 38th International Conference on Machine Learning, 2021

GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training.

KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer

Proceedings of the 38th International Conference on Machine Learning, 2021

GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning.

KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021