Durga Sivasubramanian

5 papers · 2021–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13)

Venues

AAAI (2) WACV (2) EMNLP (1)

Top co-authors

Ganesh Ramakrishnan (5) Rishabh Iyer (3) Pradeep Shenoy (2) Preethi Jyothi (1) Anmol Mekala (1) Ayush Maheshwari (1) Krishnateja Killamsetty (1) Ashish Mittal (1) Rishabh Tiwari (1) Prathosh AP (1)

Research topics

Machine Learning (5) Application Areas (5) Optimization & Theory · Machine Learning (4) Deep Learning (2) Learning Paradigms (2) Learning Types · Machine Learning (2) Speech & Audio (1) Core Methods (1) Learning Types · Deep Learning (1) Optimization & Theory · Deep Learning (1) Recognition (1)

Keywords

knowledge distillation (3) data subset selection (2) bilevel optimization (2) model robustness (1) coreset selection (1) speech recognition (1) privacy preservation (1) automatic speech recognition (1) robust learning (1) batch active learning (1) noise robustness (1) generalization bound (1) group fairness (1) edge device (1) compute efficiency (1) student model (1) recurrent neural network transducer (1) auxiliary loss (1) gradient matching (1) feature bia (1)

Papers

Gradient Coreset for Federated Learning WACV 2024 Using Early Readouts To Mediate Featural Bias in Distillation WACV 2024 Adaptive Mixing of Auxiliary Losses in Supervised Learning AAAI 2023 Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training EMNLP 2022 GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning AAAI 2021