Ganesh Ramakrishnan

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 154

Top Venues

Publications

Prateek Chanda, Shrey Modi, Ganesh Ramakrishnan
Bayesian Coreset Optimization for Personalized Federated Learning. ICLR (2024)
Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal, Ganesh Ramakrishnan
FAIR: Filtering of Automatically Induced Rules. CoRR (2024)
Ayush Maheshwari, Ashim Gupta, Amrith Krishna, Atul Kumar Singh, Ganesh Ramakrishnan, Anil Kumar Gourishetty, Jitin Singla
Samayik: A Benchmark and Dataset for English-Sanskrit Translation. LREC/COLING (2024)
H. S. V. N. S. Kowndinya Renduchintala, Sumit Bhatia, Ganesh Ramakrishnan
SMART: Submodular Data Mixture Strategy for Instruction Tuning. ACL (Findings) (2024)
Krishnakant Bhatt, Karthika NJ, Ganesh Ramakrishnan, Preethi Jyothi
CharSS: Character-Level Transformer Model for Sanskrit Word Segmentation. CoRR (2024)
Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy
Using Early Readouts to Mediate Featural Bias in Distillation. WACV (2024)
Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan
Gradient Coreset for Federated Learning. CoRR (2024)
Vaibhav Singh, Amrith Krishna, Karthika NJ, Ganesh Ramakrishnan
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs. CoRR (2024)
Ojas Gramopadhye, Saeel Sandeep Nachane, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering. CoRR (2024)
H. S. V. N. S. Kowndinya Renduchintala, Sumit Bhatia, Ganesh Ramakrishnan
SMART: Submodular Data Mixture Strategy for Instruction Tuning. CoRR (2024)
Dhruv Kudale, Badri Vishal Kasuba, Venkatapathy Subramanian, Parag Chaudhuri, Ganesh Ramakrishnan
Textron: Weakly Supervised Multilingual Text Detection through Data Programming. WACV (2024)
Abhishek Kumar Singh, Rudra Murthy V, Vishwajeet Kumar, Jaydeep Sen, Ganesh Ramakrishnan
INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages. CoRR (2024)
Dhruv Kudale, Badri Vishal Kasuba, Venkatapathy Subramanian, Parag Chaudhuri, Ganesh Ramakrishnan
TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming. CoRR (2024)
Akshat Gautam, Anurag Shandilya, Akshit Srivastava, Venkatapathy Subramanian, Ganesh Ramakrishnan, Kshitij Jadhav
INSITE: labelling medical images using submodular functions and semi-supervised data programming. CoRR (2024)
Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal, Ganesh Ramakrishnan
FAIR: Filtering of Automatically Induced Rules. EACL (1) (2024)
Karthika NJ, Ayush Maheshwari, Atul Kumar Singh, Preethi Jyothi, Ganesh Ramakrishnan, Krishnakant Bhatt
LexGen: Domain-aware Multilingual Lexicon Generation. CoRR (2024)
Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan
Gradient Coreset for Federated Learning. WACV (2024)
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ramakrishnan, Micah Goldblum, Colin White
When Do Neural Nets Outperform Boosted Trees on Tabular Data? CoRR (2023)
Apoorva Agarwal, Rishabh Dabral, Arjun Jain, Ganesh Ramakrishnan
Skew-Robust Human-Object Interactions in Videos. WACV (2023)
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ramakrishnan, Micah Goldblum, Colin White
When Do Neural Nets Outperform Boosted Trees on Tabular Data? NeurIPS (2023)
Abhishek Singh, Venkatapathy Subramanian, Ayush Maheshwari, Pradeep Narayan, Devi Prasad Shetty, Ganesh Ramakrishnan
EIGEN: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images. CoRR (2023)
Ayush Maheshwari, Ajay Ravindran, Venkatapathy Subramanian, Ganesh Ramakrishnan
UDAAN - Machine Learning based Post-Editing tool for Document Translation. COMAD/CODS (2023)
Venkatapathy Subramanian, Sagar Poudel, Parag Chaudhuri, Ganesh Ramakrishnan
TACTFUL: A Framework for Targeted Active Learning for Document Analysis. ICDAR (5) (2023)
Piyush Singh Pasi, Karthikeya Battepati, Preethi Jyothi, Ganesh Ramakrishnan, Tanmay Mahapatra, Manoj Singh
Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration. IJCAI (2023)
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 (2023)
Ayush Maheshwari, Ashim Gupta, Amrith Krishna, Ganesh Ramakrishnan, G. Anil Kumar, Jitin Singla
Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation. CoRR (2023)
Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy
Using Early Readouts to Mediate Featural Bias in Distillation. CoRR (2023)
Abhishek Singh, Venkatapathy Subramanian, Ayush Maheshwari, Pradeep Narayan, Devi Prasad Shetty, Ganesh Ramakrishnan
Eigen: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images. ML4H@NeurIPS (2023)
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)
Advait Padhye, Shreeja Bhakat, Humaira Firdowse, Atharv Savarkar, Ganesh Ramakrishnan, Kshitij S. Jadhav
Camaraderie: Content-based Knowledge Transfer for Medical Image Labelling using Supervised Autoencoders in a Decentralized Setting. CIKM (2023)
Piyush Singh Pasi, Karthikeya Battepati, Preethi Jyothi, Ganesh Ramakrishnan, Tanmay Mahapatra, Manoj Singh
Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration. CoRR (2023)
Ganesh Ramakrishnan, Ayush Maheshwari
Data Efficient Machine Learning for Educational Content Creation. EDM (2023)
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)
Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan
Adaptive Mixing of Auxiliary Losses in Supervised Learning. AAAI (2023)
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)
Oishik Chatterjee, Isha Pandey, Aashish Waikar, Vishwajeet Kumar, Ganesh Ramakrishnan
WARM: A Weakly (+Semi) Supervised Math Word Problem Solver. COLING (2022)
Rishabh Kumar, Devaraja Adiga, Rishav Ranjan, Amrith Krishna, Ganesh Ramakrishnan, Pawan Goyal, Preethi Jyothi
Linguistically Informed Post-processing for ASR Error correction in Sanskrit. INTERSPEECH (2022)
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)
Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. MILLanD@MICCAI (2022)
Ayush Maheshwari, Nikhil Singh, Amrith Krishna, Ganesh Ramakrishnan
A Benchmark and Dataset for Post-OCR text correction in Sanskrit. CoRR (2022)
Rishabh Kumar, Devaraja Adiga, Mayank Kothyari, Jatin Dalal, Ganesh Ramakrishnan, Preethi Jyothi
VAgyojaka: An Annotating and Post-Editing Tool for Automatic Speech Recognition. INTERSPEECH (2022)
Durga Sivasubramanian, Pradeep Shenoy, Prathosh AP, Ganesh Ramakrishnan
ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing. CoRR (2022)
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 (2022)
Samrat Dutta, Shreyansh Jain, Ayush Maheshwari, Ganesh Ramakrishnan, Preethi Jyothi
Error Correction in ASR using Sequence-to-Sequence Models. CoRR (2022)
Renbo Tu, Nicholas Roberts, Vishak Prasad, Sibasis Nayak, Paarth Jain, Frederic Sala, Ganesh Ramakrishnan, Ameet Talwalkar, Willie Neiswanger, Colin White
AutoML for Climate Change: A Call to Action. CoRR (2022)
Ayush Maheshwari, Piyush Sharma, Preethi Jyothi, Ganesh Ramakrishnan
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT. CoRR (2022)
Sravya Vardhani Shivapuja, Ashwin Gopinath, Ayush Gupta, Ganesh Ramakrishnan, Ravi Kiran Sarvadevabhatla
Counting in the 2020s: Binned Representations and Inclusive Performance Measures for Deep Crowd Counting Approaches. CoRR (2022)
Suraj Kothawade, Pavan Kumar Reddy, Ganesh Ramakrishnan, Rishabh K. Iyer
BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets. CoRR (2022)
Suraj Kothawade, Akshit Shrivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer
DIAGNOSE: Avoiding Out-of-Distribution Data Using Submodular Information Measures. MILLanD@MICCAI (2022)
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)
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 (2022)
Vishak Prasad C., Colin White, Paarth Jain, Sibasis Nayak, Ganesh Ramakrishnan
Speeding up NAS with Adaptive Subset Selection. CoRR (2022)
Vishal Kaushal, Ganesh Ramakrishnan, Rishabh K. Iyer
Submodlib: A Submodular Optimization Library. CoRR (2022)
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)
Pranshu Chourasia, Ganesh Ramakrishnan, Varsha Apte, Suraj Kumar
Algorithm identification in programming assignments. ICPC (2022)
Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Lakshman Tamil, Ganesh Ramakrishnan, Rishabh K. Iyer
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. CoRR (2022)
Ayush Maheshwari, Nikhil Singh, Amrith Krishna, Ganesh Ramakrishnan
A Benchmark and Dataset for Post-OCR text correction in Sanskrit. EMNLP (Findings) (2022)
Piyush Singh Pasi, Shubham Nemani, Preethi Jyothi, Ganesh Ramakrishnan
Investigating Modality Bias in Audio Visual Video Parsing. CoRR (2022)
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)
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)
Suraj Kothawade, Akshit Srivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures. CoRR (2022)
Ayush Maheshwari, Ajay Ravindran, Venkatapathy Subramanian, Akshay Jalan, Ganesh Ramakrishnan
UDAAN - Machine Learning based Post-Editing tool for Document Translation. CoRR (2022)
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 (2021)
Oishik Chatterjee, Aashish Waikar, Vishwajeet Kumar, Ganesh Ramakrishnan, Kavi Arya
A Weakly Supervised Model for Solving Math word Problems. CoRR (2021)
Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar, Ganesh Ramakrishnan, Preethi Jyothi
Meta-Learning for Effective Multi-task and Multilingual Modelling. EACL (2021)
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 (2021)
Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De
Training Data Subset Selection for Regression with Controlled Generalization Error. CoRR (2021)
Mayank Kothyari, Anmol Reddy Mekala, Rishabh K. Iyer, Ganesh Ramakrishnan, Preethi Jyothi
Personalizing ASR with limited data using targeted subset selection. CoRR (2021)
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 (2021)
Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya
Unsupervised Learning of Explainable Parse Trees for Improved Generalisation. CoRR (2021)
Sravya Vardhani Shivapuja, Mansi Pradeep Khamkar, Divij Bajaj, Ganesh Ramakrishnan, Ravi Kiran Sarvadevabhatla
Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting. CoRR (2021)
Devaraja Adiga, Rishabh Kumar, Amrith Krishna, Preethi Jyothi, Ganesh Ramakrishnan, Pawan Goyal
Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights. ACL/IJCNLP (Findings) (2021)
Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer
Rule Augmented Unsupervised Constituency Parsing. ACL/IJCNLP (Findings) (2021)
Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer
Rule Augmented Unsupervised Constituency Parsing. CoRR (2021)
Ayush Maheshwari, Oishik Chatterjee, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer
Semi-Supervised Data Programming with Subset Selection. ACL/IJCNLP (Findings) (2021)
Guttu Sai Abhishek, Harshad Ingole, Parth Laturia, Vineeth Dorna, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer
SPEAR : Semi-supervised Data Programming in Python. CoRR (2021)
Sravya Vardhani Shivapuja, Mansi Pradeep Khamkar, Divij Bajaj, Ganesh Ramakrishnan, Ravi Kiran Sarvadevabhatla
Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting. ACM Multimedia (2021)
Jayaprakash Akula, Abhishek Sharma, Rishabh Dabral, Preethi Jyothi, Ganesh Ramakrishnan
Cross Lingual Video and Text Retrieval: A New Benchmark Dataset and Algorithm. ICMI (2021)
Aman Jain, Mayank Kothyari, Vishwajeet Kumar, Preethi Jyothi, Ganesh Ramakrishnan, Soumen Chakrabarti
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering. SIGIR (2021)
Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan, Saketha Nath Jagaralpudi
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification. EACL (2021)
Jatin Lamba, Abhishek, Jayaprakash Akula, Rishabh Dabral, Preethi Jyothi, Ganesh Ramakrishnan
Cross-Modal Learning for Audio-Visual Video Parsing. Interspeech (2021)
Nathan Beck, Durga Sivasubramanian, Apurva Dani, Ganesh Ramakrishnan, Rishabh K. Iyer
Effective Evaluation of Deep Active Learning on Image Classification Tasks. CoRR (2021)
Shivam Sood, Rohit Saluja, Ganesh Ramakrishnan, Parag Chaudhuri
CATALIST: CAmera TrAnsformations for Multi-LIngual Scene Text Recognition. ICDAR Workshops (1) (2021)
Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
Submodular Mutual Information for Targeted Data Subset Selection. CoRR (2021)
Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De
Training Data Subset Selection for Regression with Controlled Generalization Error. ICML (2021)
Rishabh Dabral, Srijon Sarkar, Sai Praneeth Reddy, Ganesh Ramakrishnan
Exploration of Spatial and Temporal Modeling Alternatives for HOI. WACV (2021)
Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya
Unsupervised Learning of Explainable Parse Trees for Improved Generalisation. IJCNN (2021)
Jayaprakash Akula, Abhishek Sharma, Rishabh Dabral, Ganesh Ramakrishnan, Preethi Jyothi
Rudder: A Cross Lingual Video and Text Retrieval Dataset. CoRR (2021)
Jatin Lamba, Abhishek Sharma, Jayaprakash Akula, Rishabh Dabral, Preethi Jyothi, Ganesh Ramakrishnan
Cross-Modal learning for Audio-Visual Video Parsing. CoRR (2021)
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)
KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. AAAI (2021)
Aman Jain, Mayank Kothyari, Vishwajeet Kumar, Preethi Jyothi, Ganesh Ramakrishnan, Soumen Chakrabarti
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering. CoRR (2021)
Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan, Saketha Nath Jagaralpudi
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification. CoRR (2021)
Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar, Ganesh Ramakrishnan, Preethi Jyothi
Meta-Learning for Effective Multi-task and Multilingual Modelling. CoRR (2021)
Devaraja Adiga, Rishabh Kumar, Amrith Krishna, Preethi Jyothi, Ganesh Ramakrishnan, Pawan Goyal
Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights. CoRR (2021)
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 (2021)
Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi
Robust Data Programming with Precision-guided Labeling Functions. AAAI (2020)
Sai Praneeth Reddy Sunkesula, Rishabh Dabral, Ganesh Ramakrishnan
LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos. CoRR (2020)
KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. CoRR (2020)
Vishwajeet Kumar, Manish Joshi, Ganesh Ramakrishnan, Yuan-Fang Li
Vocabulary Matters: A Simple yet Effective Approach to Paragraph-level Question Generation. AACL/IJCNLP (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ganesh Ramakrishnan