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ORCIDGanesh Ramakrishnan
- > Home > Persons > Ganesh Ramakrishnan
Publications
- 2024
[c135]Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan:
Gradient Coreset for Federated Learning. WACV 2024: 2636-2645- [i66]Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan:
Gradient Coreset for Federated Learning. CoRR abs/2401.06989 (2024) - 2023
- [c132]Suraj Kothawade, Anmol Reddy Mekala, D. Chandra Sekhara Hetha Havya, Mayank Kothyari, Rishabh K. Iyer, Ganesh Ramakrishnan, Preethi Jyothi:
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation. ACL (1) 2023: 5810-5822 - [c128]H. S. V. N. S. Kowndinya Renduchintala, Krishnateja Killamsetty, Sumit Bhatia, Milan Aggarwal, Ganesh Ramakrishnan, Rishabh K. Iyer, Balaji Krishnamurthy:
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models. EMNLP (Findings) 2023: 6690-6705 - [c126]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 - [i59]H. S. V. N. S. Kowndinya Renduchintala, Krishnateja Killamsetty, Sumit Bhatia, Milan Aggarwal, Ganesh Ramakrishnan, Rishabh K. Iyer, Balaji Krishnamurthy:
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Large Language Models. CoRR abs/2305.06677 (2023) - 2022
- [c121]Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer:
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection. AAAI 2022: 10238-10246 - [c120]Ayush Maheshwari, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer, Marina Danilevsky, Lucian Popa:
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. ACL (Findings) 2022: 1188-1202 - [c118]Guttu Sai Abhishek, Harshad Ingole, Parth Laturia, Vineeth Dorna, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer:
SPEAR : Semi-supervised Data Programming in Python. EMNLP (Demos) 2022: 121-127 - [c117]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 - [c112]Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer:
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. MILLanD@MICCAI 2022: 119-129 - [c111]Suraj Kothawade, Akshit Shrivastava
, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer:
DIAGNOSE: Avoiding Out-of-Distribution Data Using Submodular Information Measures. MILLanD@MICCAI 2022: 141-150 - [c110]KrishnaTeja Killamsetty, Guttu Sai Abhishek, Aakriti, Ganesh Ramakrishnan, Alexandre V. Evfimievski, Lucian Popa, Rishabh K. Iyer:
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning. NeurIPS 2022 - [i52]Vishal Kaushal, Ganesh Ramakrishnan, Rishabh K. Iyer:
Submodlib: A Submodular Optimization Library. CoRR abs/2202.10680 (2022) - [i50]Suraj Kothawade, Pavan Kumar Reddy, Ganesh Ramakrishnan, Rishabh K. Iyer:
BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets. CoRR abs/2203.05651 (2022) - [i49]KrishnaTeja Killamsetty, Guttu Sai Abhishek, Aakriti, Alexandre V. Evfimievski, Lucian Popa, Ganesh Ramakrishnan, Rishabh K. Iyer:
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning. CoRR abs/2203.08212 (2022) - [i46]Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Lakshman Tamil, Ganesh Ramakrishnan, Rishabh K. Iyer:
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. CoRR abs/2210.01520 (2022) - [i45]Suraj Kothawade, Akshit Srivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer:
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures. CoRR abs/2210.01526 (2022) - [i42]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
- [c109]KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer:
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. AAAI 2021: 8110-8118 - [c108]Ayush Maheshwari, Oishik Chatterjee, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer:
Semi-Supervised Data Programming with Subset Selection. ACL/IJCNLP (Findings) 2021: 4640-4651 - [c107]Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer:
Rule Augmented Unsupervised Constituency Parsing. ACL/IJCNLP (Findings) 2021: 4923-4932 - [c101]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 - [c100]Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De:
Training Data Subset Selection for Regression with Controlled Generalization Error. ICML 2021: 9202-9212 - [i37]Vishal Kaushal, Suraj Kothawade, Anshul Tomar, Rishabh K. Iyer, Ganesh Ramakrishnan:
How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization. CoRR abs/2101.10514 (2021) - [i36]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) - [i35]Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer:
PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization. CoRR abs/2103.00128 (2021) - [i29]Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer:
Submodular Mutual Information for Targeted Data Subset Selection. CoRR abs/2105.00043 (2021) - [i28]Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer:
Rule Augmented Unsupervised Constituency Parsing. CoRR abs/2105.10193 (2021) - [i26]Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De:
Training Data Subset Selection for Regression with Controlled Generalization Error. CoRR abs/2106.12491 (2021) - [i25]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) - [i24]Guttu Sai Abhishek, Harshad Ingole, Parth Laturia, Vineeth Dorna, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer:
SPEAR : Semi-supervised Data Programming in Python. CoRR abs/2108.00373 (2021) - [i22]Ayush Maheshwari, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer, Marina Danilevsky, Lucian Popa:
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. CoRR abs/2109.11410 (2021) - [i21]Mayank Kothyari, Anmol Reddy Mekala, Rishabh K. Iyer, Ganesh Ramakrishnan, Preethi Jyothi:
Personalizing ASR with limited data using targeted subset selection. CoRR abs/2110.04908 (2021) - 2020
- [c93]Saiteja Nalla, Mohit Agrawal, Vishal Kaushal, Ganesh Ramakrishnan, Rishabh K. Iyer:
Watch Hours in Minutes: Summarizing Videos with User Intent. ECCV Workshops (5) 2020: 714-730 - [c90]Vishal Kaushal, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan:
Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework. AI4TV@MM 2020: 37-44 - [i20]Vishal Kaushal, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan:
Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework. CoRR abs/2007.14560 (2020) - [i19]Ayush Maheshwari, Oishik Chatterjee, KrishnaTeja Killamsetty, Rishabh K. Iyer, Ganesh Ramakrishnan:
Data Programming using Semi-Supervision and Subset Selection. CoRR abs/2008.09887 (2020) - [i18]Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Himanshu Asnani, Rishabh K. Iyer:
A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures. CoRR abs/2010.05631 (2020) - [i16]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) - 2019
- [c77]Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan:
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance. WACV 2019: 452-461 - [c76]Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan:
A Framework Towards Domain Specific Video Summarization. WACV 2019: 666-675 - [c75]Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan:
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision. WACV 2019: 1289-1299 - [i15]Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan:
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision. CoRR abs/1901.01151 (2019) - [i14]Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan:
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance. CoRR abs/1901.01153 (2019) - 2018
- [i6]Vishal Kaushal, Anurag Sahoo, Khoshrav Doctor, Narasimha Raju Uppalapati, Suyash Shetty, Pankaj Singh, Rishabh K. Iyer, Ganesh Ramakrishnan:
Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks. CoRR abs/1805.11191 (2018) - [i4]Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Sandeep Subramanian, Ganesh Ramakrishnan:
A Framework towards Domain Specific Video Summarization. CoRR abs/1809.08854 (2018) - 2017
- [i3]Anurag Sahoo, Vishal Kaushal, Khoshrav Doctor, Suyash Shetty, Rishabh K. Iyer, Ganesh Ramakrishnan:
A Unified Multi-Faceted Video Summarization System. CoRR abs/1704.01466 (2017) - 2015
- [c59]Ramakrishna Bairi, Rishabh K. Iyer, Ganesh Ramakrishnan, Jeff A. Bilmes:
Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures. ACL (1) 2015: 553-563
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