Ramakrishnan, Ganesh

35 publications

NeurIPS 2025 Bandit Guided Submodular Curriculum for Adaptive Subset Selection Prateek Chanda, Prayas Agrawal, Saral Sureka, Lokesh Reddy Polu, Atharv Kshirsagar, Ganesh Ramakrishnan

TMLR 2025 Unified Wisdom: Harnessing Collaborative Learning to Improve Efficacy of Knowledge Distillation Atharva Abhijit Tambat, Durga S, Ganesh Ramakrishnan, Pradeep Shenoy

ICLR 2024 Bayesian Coreset Optimization for Personalized Federated Learning Prateek Chanda, Shrey Modi, Ganesh Ramakrishnan

WACV 2024 Gradient Coreset for Federated Learning Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh Iyer, Ganesh Ramakrishnan

AutoML 2024 Speeding up NAS with Adaptive Subset Selection Vishak Prasad C, Colin White, Sibasis Nayak, Paarth Jain, Aziz Shameem, Prateek Garg, Ganesh Ramakrishnan

WACV 2024 Textron: Weakly Supervised Multilingual Text Detection Through Data Programming Dhruv Kudale, Badri Vishal Kasuba, Venkatapathy Subramanian, Parag Chaudhuri, Ganesh Ramakrishnan

WACV 2024 Using Early Readouts to Mediate Featural Bias in Distillation Rishabh Tiwari, Durga Sivasubramanian, Anmol Mekala, Ganesh Ramakrishnan, Pradeep Shenoy

AAAI 2023 Adaptive Mixing of Auxiliary Losses in Supervised Learning Durga Sivasubramanian, Ayush Maheshwari, Prathosh Ap, Pradeep Shenoy, Ganesh Ramakrishnan

ICML 2023 Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty, Bhuvan Reddy Gangula, Durga S, Ganesh Ramakrishnan, Rishabh K Iyer, Abir De

WACV 2023 Skew-Robust Human-Object Interactions in Videos Apoorva Agarwal, Rishabh Dabral, Arjun Jain, Ganesh Ramakrishnan

IJCAI 2023 Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration Piyush Singh Pasi, Karthikeya Battepati, Preethi Jyothi, Ganesh Ramakrishnan, Tanmay Mahapatra, Manoj Singh

NeurIPS 2023 When Do Neural Nets Outperform Boosted Trees on Tabular Data? Duncan McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C, Ganesh Ramakrishnan, Micah Goldblum, Colin White

NeurIPS 2022 AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-Parameter Tuning Krishnateja Killamsetty, Guttu Sai Abhishek, Aakriti Lnu, Ganesh Ramakrishnan, Alexandre Evfimievski, Lucian Popa, Rishabh Iyer

AAAI 2022 PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer

WACV 2021 Exploration of Spatial and Temporal Modeling Alternatives for HOI Rishabh Dabral, Srijon Sarkar, Sai Praneeth Reddy, Ganesh Ramakrishnan

AAAI 2021 GLISTER: Generalization Based Data Subset Selection for Efficient and Robust Learning KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer

ICML 2021 GRAD-MATCH: Gradient Matching Based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty, Durga S, Ganesh Ramakrishnan, Abir De, Rishabh Iyer

ICML 2021 Training Data Subset Selection for Regression with Controlled Generalization Error Durga S, Rishabh Iyer, Ganesh Ramakrishnan, Abir De

AAAI 2020 Robust Data Programming with Precision-Guided Labeling Functions Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi

ECCVW 2020 Watch Hours in Minutes: Summarizing Videos with User Intent Saiteja Nalla, Mohit Agrawal, Vishal Kaushal, Ganesh Ramakrishnan, Rishabh K. Iyer

WACV 2019 A Framework Towards Domain Specific Video Summarization Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan

ICCVW 2019 A Tale of Two Modalities for Video Captioning Pankaj Joshi, Chitwan Saharia, Vishwajeet Singh, Digvijaysingh Gautam, Ganesh Ramakrishnan, Preethi Jyothi

WACV 2019 Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan

WACV 2019 Learning from Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan

AAAI 2018 An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments Ashish Kulkarni, Narasimha Raju Uppalapati, Pankaj Singh, Ganesh Ramakrishnan

AAAI 2018 Synthesis of Programs from Multimodal Datasets Shantanu Thakoor, Simoni Shah, Ganesh Ramakrishnan, Amitabha Sanyal

AAAI 2017 Scalable Optimization of Multivariate Performance Measures in Multi-Instance Multi-Label Learning Apoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain

IJCAI 2016 Interactive Martingale Boosting Ashish Kulkarni, Pushpak Burange, Ganesh Ramakrishnan

AAAI 2016 Numerical Relation Extraction with Minimal Supervision Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi

JMLR 2015 Generalized Hierarchical Kernel Learning Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan

AAAI 2012 Rule Ensemble Learning Using Hierarchical Kernels in Structured Output Spaces Naveen Nair, Amrita Saha, Ganesh Ramakrishnan, Shonali Krishnaswamy

ICML 2011 Efficient Rule Ensemble Learning Using Hierarchical Kernels Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan

JMLR 2011 Parameter Screening and Optimisation for ILP Using Designed Experiments Ashwin Srinivasan, Ganesh Ramakrishnan

MLJ 2009 An Investigation into Feature Construction to Assist Word Sense Disambiguation Lucia Specia, Ashwin Srinivasan, Sachindra Joshi, Ganesh Ramakrishnan, Maria das Graças Volpe Nunes

ICML 2005 A Model for Handling Approximate, Noisy or Incomplete Labeling in Text Classification Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Raghu Krishnapuram, Pushpak Bhattacharyya