Durga Sivasubramanian

According to our database1, Durga Sivasubramanian authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Using Early Readouts to Mediate Featural Bias in Distillation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Gradient Coreset for Federated Learning.
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.
Proceedings of the International Conference on Machine Learning, 2023

Adaptive Mixing of Auxiliary Losses in Supervised Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing.
CoRR, 2022

Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Effective Evaluation of Deep Active Learning on Image Classification Tasks.
CoRR, 2021

GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning.
CoRR, 2021

Training Data Subset Selection for Regression with Controlled Generalization Error.
Proceedings of the 38th International Conference on Machine Learning, 2021

GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training.
Proceedings of the 38th International Conference on Machine Learning, 2021

GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021


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