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ORCIDGanesh Ramakrishnan
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- affiliation: Indian Institute of Technology, Bombay, India
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2020 – today
- 2024
[c142]H. S. V. N. S. Kowndinya Renduchintala, Sumit Bhatia, Ganesh Ramakrishnan:
SMART: Submodular Data Mixture Strategy for Instruction Tuning. ACL (Findings) 2024: 12916-12934- [c141]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: 14298-14304 - [c140]Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal, Ganesh Ramakrishnan:
FAIR: Filtering of Automatically Induced Rules. EACL (1) 2024: 573-588 - [c139]Dhruv Kudale
, Badri Vishal Kasuba, Venkatapathy Subramanian, Parag Chaudhuri, Ganesh Ramakrishnan:
SPRINT: Script-agnostic Structure Recognition in Tables. ICDAR (5) 2024: 350-367 - [c138]Prateek Chanda, Shrey Modi, Ganesh Ramakrishnan:
Bayesian Coreset Optimization for Personalized Federated Learning. ICLR 2024 - [c137]Akshat Gautam, Anurag Shandilya, Akshit Srivastava, Venkatapathy Subramanian, Ganesh Ramakrishnan, Kshitij Jadhav:
Insite: Labelling Medical Images Using Submodular Functions and Semi-Supervised Data Programming. ISBI 2024: 1-5 - [c136]Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy:
Using Early Readouts to Mediate Featural Bias in Distillation. WACV 2024: 2626-2635 - [c135]Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan:
Gradient Coreset for Federated Learning. WACV 2024: 2636-2645 - [c134]Dhruv Kudale, Badri Vishal Kasuba, Venkatapathy Subramanian, Parag Chaudhuri, Ganesh Ramakrishnan:
Textron: Weakly Supervised Multilingual Text Detection through Data Programming. WACV 2024: 2859-2868 - [i70]Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan:
Gradient Coreset for Federated Learning. CoRR abs/2401.06989 (2024) - [i69]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 abs/2402.07173 (2024) - [i68]Dhruv Kudale, Badri Vishal Kasuba, Venkatapathy Subramanian, Parag Chaudhuri, Ganesh Ramakrishnan:
TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming. CoRR abs/2402.09811 (2024) - [i67]Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal, Ganesh Ramakrishnan:
FAIR: Filtering of Automatically Induced Rules. CoRR abs/2402.15472 (2024) - [i66]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 abs/2403.04890 (2024) - [i65]H. S. V. N. S. Kowndinya Renduchintala, Sumit Bhatia, Ganesh Ramakrishnan:
SMART: Submodular Data Mixture Strategy for Instruction Tuning. CoRR abs/2403.08370 (2024) - [i64]Karthika NJ, Ayush Maheshwari, Atul Kumar Singh, Preethi Jyothi, Ganesh Ramakrishnan, Krishnakant Bhatt:
LexGen: Domain-aware Multilingual Lexicon Generation. CoRR abs/2405.11200 (2024) - [i63]Vaibhav Singh, Amrith Krishna, Karthika NJ, Ganesh Ramakrishnan:
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs. CoRR abs/2406.17377 (2024) - [i62]Krishnakant Bhatt, Karthika NJ, Ganesh Ramakrishnan, Preethi Jyothi:
CharSS: Character-Level Transformer Model for Sanskrit Word Segmentation. CoRR abs/2407.06331 (2024) - [i61]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 abs/2407.13522 (2024) - 2023
- [c133]Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan:
Adaptive Mixing of Auxiliary Losses in Supervised Learning. AAAI 2023: 9855-9863 - [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 - [c131]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: 4229-4233 - [c130]Ayush Maheshwari, Ajay Ravindran, Venkatapathy Subramanian, Ganesh Ramakrishnan:
UDAAN - Machine Learning based Post-Editing tool for Document Translation. COMAD/CODS 2023: 263-267 - [c129]Ganesh Ramakrishnan, Ayush Maheshwari:
Data Efficient Machine Learning for Educational Content Creation. EDM 2023 - [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 - [c127]Venkatapathy Subramanian, Sagar Poudel, Parag Chaudhuri, Ganesh Ramakrishnan:
TACTFUL: A Framework for Targeted Active Learning for Document Analysis. ICDAR (5) 2023: 259-273 - [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 - [c125]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: 6156-6164 - [c124]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: 559-573 - [c123]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 - [c122]Apoorva Agarwal, Rishabh Dabral, Arjun Jain, Ganesh Ramakrishnan:
Skew-Robust Human-Object Interactions in Videos. WACV 2023: 5087-5096 - [i60]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 abs/2305.02997 (2023) - [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) - [i58]Ayush Maheshwari, Ashim Gupta, Amrith Krishna, Ganesh Ramakrishnan, G. Anil Kumar, Jitin Singla:
Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation. CoRR abs/2305.14004 (2023) - [i57]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 abs/2310.06702 (2023) - [i56]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) - [i55]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 abs/2311.13993 (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 - [c119]Oishik Chatterjee, Isha Pandey, Aashish Waikar, Vishwajeet Kumar, Ganesh Ramakrishnan:
WARM: A Weakly (+Semi) Supervised Math Word Problem Solver. COLING 2022: 4753-4764 - [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 - [c116]Ayush Maheshwari, Nikhil Singh, Amrith Krishna, Ganesh Ramakrishnan:
A Benchmark and Dataset for Post-OCR text correction in Sanskrit. EMNLP (Findings) 2022: 6258-6265 - [c115]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: 857-858 - [c114]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: 2293-2297 - [c113]Pranshu Chourasia, Ganesh Ramakrishnan, Varsha Apte, Suraj Kumar:
Algorithm identification in programming assignments. ICPC 2022: 471-481 - [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 - [i54]Samrat Dutta, Shreyansh Jain, Ayush Maheshwari, Ganesh Ramakrishnan, Preethi Jyothi:
Error Correction in ASR using Sequence-to-Sequence Models. CoRR abs/2202.01157 (2022) - [i53]Durga Sivasubramanian, Pradeep Shenoy, Prathosh AP, Ganesh Ramakrishnan:
ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing. CoRR abs/2202.03250 (2022) - [i52]Vishal Kaushal, Ganesh Ramakrishnan, Rishabh K. Iyer:
Submodlib: A Submodular Optimization Library. CoRR abs/2202.10680 (2022) - [i51]Ayush Maheshwari, Ajay Ravindran, Venkatapathy Subramanian, Akshay Jalan, Ganesh Ramakrishnan:
UDAAN - Machine Learning based Post-Editing tool for Document Translation. CoRR abs/2203.01644 (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) - [i48]Piyush Singh Pasi, Shubham Nemani, Preethi Jyothi, Ganesh Ramakrishnan:
Investigating Modality Bias in Audio Visual Video Parsing. CoRR abs/2203.16860 (2022) - [i47]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 abs/2204.04653 (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) - [i44]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 abs/2210.03324 (2022) - [i43]Ayush Maheshwari, Piyush Sharma, Preethi Jyothi, Ganesh Ramakrishnan:
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT. CoRR abs/2210.06996 (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) - [i41]Vishak Prasad C., Colin White, Paarth Jain, Sibasis Nayak, Ganesh Ramakrishnan:
Speeding up NAS with Adaptive Subset Selection. CoRR abs/2211.01454 (2022) - [i40]Ayush Maheshwari, Nikhil Singh, Amrith Krishna, Ganesh Ramakrishnan:
A Benchmark and Dataset for Post-OCR text correction in Sanskrit. CoRR abs/2211.07980 (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 - [c106]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: 5039-5050 - [c105]Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan, Saketha Nath Jagarlapudi:
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification. EACL 2021: 2829-2841 - [c104]Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar, Ganesh Ramakrishnan, Preethi Jyothi:
Meta-Learning for Effective Multi-task and Multilingual Modelling. EACL 2021: 3600-3612 - [c103]Shivam Sood, Rohit Saluja, Ganesh Ramakrishnan, Parag Chaudhuri:
CATALIST: CAmera TrAnsformations for Multi-LIngual Scene Text Recognition. ICDAR Workshops (1) 2021: 213-228 - [c102]Jayaprakash Akula, Abhishek Sharma, Rishabh Dabral, Preethi Jyothi, Ganesh Ramakrishnan:
Cross Lingual Video and Text Retrieval: A New Benchmark Dataset and Algorithm. ICMI 2021: 595-603 - [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 - [c99]Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya:
Unsupervised Learning of Explainable Parse Trees for Improved Generalisation. IJCNN 2021: 1-8 - [c98]Jatin Lamba, Abhishek, Jayaprakash Akula, Rishabh Dabral, Preethi Jyothi, Ganesh Ramakrishnan:
Cross-Modal Learning for Audio-Visual Video Parsing. Interspeech 2021: 1937-1941 - [c97]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: 3574-3582 - [c96]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: 2491-2498 - [c95]Rishabh Dabral, Srijon Sarkar, Sai Praneeth Reddy, Ganesh Ramakrishnan:
Exploration of Spatial and Temporal Modeling Alternatives for HOI. WACV 2021: 2280-2289 - [e1]Manish Gupta, Ganesh Ramakrishnan:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2021 Workshops, WSPA, MLMEIN, SDPRA, DARAI, and AI4EPT, Delhi, India, May 11, 2021 Proceedings. Lecture Notes in Computer Science 12705, Springer 2021, ISBN 978-3-030-75014-5 [contents] - [i39]Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan, Saketha Nath Jagarlapudi:
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification. CoRR abs/2101.04997 (2021) - [i38]Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar, Ganesh Ramakrishnan, Preethi Jyothi:
Meta-Learning for Effective Multi-task and Multilingual Modelling. CoRR abs/2101.10368 (2021) - [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) - [i34]Jayaprakash Akula, Abhishek Sharma, Rishabh Dabral, Ganesh Ramakrishnan, Preethi Jyothi:
Rudder: A Cross Lingual Video and Text Retrieval Dataset. CoRR abs/2103.05457 (2021) - [i33]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 abs/2103.05568 (2021) - [i32]Jatin Lamba, Abhishek Sharma, Jayaprakash Akula, Rishabh Dabral, Preethi Jyothi, Ganesh Ramakrishnan:
Cross-Modal learning for Audio-Visual Video Parsing. CoRR abs/2104.04598 (2021) - [i31]Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya:
Unsupervised Learning of Explainable Parse Trees for Improved Generalisation. CoRR abs/2104.04998 (2021) - [i30]Oishik Chatterjee, Aashish Waikar, Vishwajeet Kumar, Ganesh Ramakrishnan, Kavi Arya:
A Weakly Supervised Model for Solving Math word Problems. CoRR abs/2104.06722 (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) - [i27]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 abs/2106.05852 (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) - [i23]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 abs/2108.08784 (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
- [c94]Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi:
Robust Data Programming with Precision-guided Labeling Functions. AAAI 2020: 3397-3404 - [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 - [c92]Vishwajeet Kumar, Manish Joshi, Ganesh Ramakrishnan, Yuan-Fang Li:
Vocabulary Matters: A Simple yet Effective Approach to Paragraph-level Question Generation. AACL/IJCNLP 2020: 781-785 - [c91]Vighnesh Reddy Konda, Mayur Warialani, Rakesh Prasanth Achari, Varad Bhatnagar, Jayaprakash Akula, Preethi Jyothi, Ganesh Ramakrishnan, Gholamreza Haffari, Pankaj Singh:
Caption Alignment for Low Resource Audio-Visual Data. INTERSPEECH 2020: 3525-3529 - [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 - [c89]Sai Praneeth Reddy Sunkesula, Rishabh Dabral, Ganesh Ramakrishnan:
LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos. ACM Multimedia 2020: 691-699 - [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) - [i17]Sai Praneeth Reddy Sunkesula, Rishabh Dabral, Ganesh Ramakrishnan:
LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos. CoRR abs/2012.09402 (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)
2010 – 2019
- 2019
- [j12]Uma Sawant, Saurabh Garg, Soumen Chakrabarti, Ganesh Ramakrishnan:
Neural architecture for question answering using a knowledge graph and web corpus. Inf. Retr. J. 22(3-4): 324-349 (2019) - [c88]Rishabh Dabral, Nitesh B. Gundavarapu, Rahul Mitra, Abhishek Sharma, Ganesh Ramakrishnan, Arjun Jain:
Multi-Person 3D Human Pose Estimation from Monocular Images. 3DV 2019: 405-414 - [c87]Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi:
Cross-Lingual Training for Automatic Question Generation. ACL (1) 2019: 4863-4872 - [c86]Sukalyan Bhakat, Ganesh Ramakrishnan:
Anomaly Detection in Surveillance Videos. COMAD/CODS 2019: 252-255 - [c85]Ayush Maheshwari, Ayush Goyal, Amit Kumar, Manjesh Kumar Hanawal, Ganesh Ramakrishnan:
Representation Learning on Graphs by Integrating Content and Structure Information. COMSNETS 2019: 88-94 - [c84]Vishwajeet Kumar, Ganesh Ramakrishnan, Yuan-Fang Li:
Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text. CoNLL 2019: 812-821 - [c83]Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li:
ParaQG: A System for Generating Questions and Answers from Paragraphs. EMNLP/IJCNLP (3) 2019: 175-180 - [c82]Pankaj Joshi, Chitwan Saharia, Vishwajeet Singh, Digvijaysingh Gautam, Ganesh Ramakrishnan, Preethi Jyothi:
A Tale of Two Modalities for Video Captioning. ICCV Workshops 2019: 3708-3712 - [c81]