Durga Sivasubramanian

Indian Institute of Technology Bombay — India

Computer Science · Physical Sciences

5h-index153citations15works1.72yr avg
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Research Topics

Machine Learning and Data Classification(10), Machine Learning and Algorithms(9), Domain Adaptation and Few-Shot Learning(5), Imbalanced Data Classification Techniques(3), Advanced Neural Network Applications(2)

Publications15 total

Gradient Coreset for Federated Learning
arXiv (Cornell University)·2024Open Access
Gradient Coreset for Federated Learning
2024· 3 cited
Using Early Readouts to Mediate Featural Bias in Distillation
2024· 2 cited
Using Early Readouts to Mediate Featural Bias in Distillation
arXiv (Cornell University)·2023Open Access
Adaptive Mixing of Auxiliary Losses in Supervised Learning
Proceedings of the AAAI Conference on Artificial Intelligence·2023Open Access
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training
arXiv (Cornell University)·2022Open Access
Adaptive Mixing of Auxiliary Losses in Supervised Learning
arXiv (Cornell University)·2022Open Access
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training
2022· 2 citedOpen Access
Training Data Subset Selection for Regression with Controlled Generalization Error
arXiv (Cornell University)·2021Open Access
Effective Evaluation of Deep Active Learning on Image Classification\n Tasks
arXiv (Cornell University)·2021· 8 citedOpen Access
Effective Evaluation of Deep Active Learning on Image Classification Tasks
arXiv (Cornell University)·2021· 3 citedOpen Access
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 95 citedOpen Access
GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning.
arXiv (Cornell University)·2021· 9 citedOpen Access
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
arXiv (Cornell University)·2021· 11 citedOpen Access
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
arXiv (Cornell University)·2020· 20 citedOpen Access

Frequent Co-authors

Ganesh Ramakrishnan(15), Rishabh Iyer(11), Krishnateja Killamsetty(4), Pradeep Shenoy(4), Abir De(3), Apurva Dani(2), Lokesh Nagalapatti(2), Ashish Mittal(2), Preethi Jyothi(2), Rishabh Tiwari(2), Anmol Mekala(2), Ayush Maheshwari(2), Prathosh AP(2), Baharan Mirzasoleiman(1), Nathan Beck(1), Nathan Beck(1)