Durga Sivasubramanian

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Simultaneous Clustering

Generalization Error

Efficient Learning

Subset Selection

Top Venues

Publications

Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy
Using Early Readouts to Mediate Featural Bias in Distillation. WACV (2024)
Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan
Gradient Coreset for Federated Learning. CoRR (2024)
Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan
Gradient Coreset for Federated Learning. WACV (2024)
Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy
Using Early Readouts to Mediate Featural Bias in Distillation. CoRR (2023)
Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty, Bhuvan Reddy Gangula, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer, Abir De
Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models. ICML (2023)
Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan
Adaptive Mixing of Auxiliary Losses in Supervised Learning. AAAI (2023)
Durga Sivasubramanian, Pradeep Shenoy, Prathosh AP, Ganesh Ramakrishnan
ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing. CoRR (2022)
Ashish R. Mittal, Durga Sivasubramanian, Rishabh K. Iyer, Preethi Jyothi, Ganesh Ramakrishnan
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training. CoRR (2022)
Ashish R. Mittal, Durga Sivasubramanian, Rishabh K. Iyer, Preethi Jyothi, Ganesh Ramakrishnan
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training. EMNLP (Findings) (2022)
Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De
Training Data Subset Selection for Regression with Controlled Generalization Error. 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)
Nathan Beck, Durga Sivasubramanian, Apurva Dani, Ganesh Ramakrishnan, Rishabh K. Iyer
Effective Evaluation of Deep Active Learning on Image Classification Tasks. CoRR (2021)
Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De
Training Data Subset Selection for Regression with Controlled Generalization Error. ICML (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, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. CoRR (2020)