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ORCIDDurga Sivasubramanian
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2020 – today
- 2024
[c8]Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy:
Using Early Readouts to Mediate Featural Bias in Distillation. WACV 2024: 2626-2635- [c7]Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan:
Gradient Coreset for Federated Learning. WACV 2024: 2636-2645 - [i8]Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan:
Gradient Coreset for Federated Learning. CoRR abs/2401.06989 (2024) - 2023
- [c6]Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan:
Adaptive Mixing of Auxiliary Losses in Supervised Learning. AAAI 2023: 9855-9863 - [c5]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: 29950-29970 - [i7]Rishabh Tiwari
, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy:
Using Early Readouts to Mediate Featural Bias in Distillation. CoRR abs/2310.18590 (2023) - 2022
- [c4]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: 5999-6010 - [i6]Durga Sivasubramanian, Pradeep Shenoy, Prathosh AP, Ganesh Ramakrishnan:
ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing. CoRR abs/2202.03250 (2022) - [i5]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 abs/2210.16892 (2022) - 2021
- [c3]KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer:
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. AAAI 2021: 8110-8118 - [c2]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: 5464-5474 - [c1]Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De:
Training Data Subset Selection for Regression with Controlled Generalization Error. ICML 2021: 9202-9212 - [i4]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 abs/2103.00123 (2021) - [i3]Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De:
Training Data Subset Selection for Regression with Controlled Generalization Error. CoRR abs/2106.12491 (2021) - [i2]Nathan Beck, Durga Sivasubramanian, Apurva Dani, Ganesh Ramakrishnan, Rishabh K. Iyer:
Effective Evaluation of Deep Active Learning on Image Classification Tasks. CoRR abs/2106.15324 (2021) - 2020
- [i1]KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer:
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. CoRR abs/2012.10630 (2020)
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