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ORCIDGanesh Ramakrishnan
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- affiliation: Indian Institute of Technology, Bombay, India
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2020 – today
- 2025
[c154]Bhavik Kanekar, Atharv Savarkar, Ganesh Ramakrishnan, Kshitij S. Jadhav:
Integrations: Informed Subset Selection Based Generation for Medical Imaging in Resource Constrained Setting. ISBI 2025: 1-4- [c153]Jayant Havare, Varsha Apte, Kaushikraj Maharajan, Nithin Chandra Gupta Samudrala, Ganesh Ramakrishnan, Srikanth Tamilselvam, Sainath Vavilapalli:
Ai-Based Automated Grading of Source Code of Introductory Programming Assignments. ICPC 2025: 171-181 - [c152]Abhishek Kumar Singh, Vishwajeet Kumar, Rudra Murthy, Jaydeep Sen, Ashish R. Mittal, Ganesh Ramakrishnan:
INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages. NAACL (Findings) 2025: 2607-2626 - [c151]Priya Mishra, Suraj Racha, Kaustubh Ponkshe, Adit Akarsh, Ganesh Ramakrishnan:
GuideQ: Framework for Guided Questioning for progressive informational collection and classification. NAACL (Findings) 2025: 4630-4644 - [c150]Yaswanth M, Vaibhav Singh, Ayush Maheshwari, Amrith Krishna, Ganesh Ramakrishnan:
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification. NAACL (Findings) 2025: 6419-6434 - [c149]Goda Nagakalyani
, Saurav Chaudhary, Varsha Apte, Ganesh Ramakrishnan, Srikanth Tamilselvam:
Design and Evaluation of an AI-Assisted Grading Tool for Introductory Programming Assignments: An Experience Report. SIGCSE (1) 2025: 805-811 - [c148]Goda Nagakalyani, Saurav Chaudhary, Varsha Apte, Ganesh Ramakrishnan:
TA Buddy: AI-Assisted Grading Tool for Introductory Programming Assignments. SIGCSE (2) 2025: 1736 - [i88]N. J. Karthika, Adyasha Patra, Nagasai Saketh Naidu, Arnab Bhattacharya, Ganesh Ramakrishnan, Chaitali Dangarikar:
Semantically Cohesive Word Grouping in Indian Languages. CoRR abs/2501.03988 (2025) - [i87]Yashwanth M., Vaibhav Singh, Ayush Maheshwari, Amrith Krishna, Ganesh Ramakrishnan:
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification. CoRR abs/2502.05923 (2025) - [i86]Badri Vishal Kasuba, Dhruv Kudale, Venkatapathy Subramanian, Parag Chaudhuri, Ganesh Ramakrishnan:
PLATTER: A Page-Level Handwritten Text Recognition System for Indic Scripts. CoRR abs/2502.06172 (2025) - [i85]Suraj Racha, Prashant Joshi, Anshika Raman, Nikita Jangid, Mridul Sharma, Ganesh Ramakrishnan, Nirmal Punjabi:
MHQA: A Diverse, Knowledge Intensive Mental Health Question Answering Challenge for Language Models. CoRR abs/2502.15418 (2025) - [i84]Dhruv Kudale, Badri Vishal Kasuba, Venkatapathy Subramanian, Parag Chaudhuri, Ganesh Ramakrishnan:
SPRINT: Script-agnostic Structure Recognition in Tables. CoRR abs/2503.11932 (2025) - [i83]Maharaj Brahma, N. J. Karthika, Atul Singh, Devaraj Adiga, Smruti Bhate, Ganesh Ramakrishnan, Rohit Saluja, Maunendra Sankar Desarkar:
MorphTok: Morphologically Grounded Tokenization for Indian Languages. CoRR abs/2504.10335 (2025) - [i82]Anas Anwarul Haq Khan, Utkarsh Verma, Prateek Chanda, Ganesh Ramakrishnan:
Early Exit and Multi Stage Knowledge Distillation in VLMs for Video Summarization. CoRR abs/2504.21831 (2025) - [i81]Sarvesh Shashidhar, Ritik, Nachiketa Patil, Suraj Racha, Ganesh Ramakrishnan:
Inducing Robustness in a 2 Dimensional Direct Preference Optimization Paradigm. CoRR abs/2505.01706 (2025) - [i80]Soumen Kumar Mondal, Akshit Varmora, Prateek Chanda, Ganesh Ramakrishnan:
FairPO: Robust Preference Optimization for Fair Multi-Label Learning. CoRR abs/2505.02433 (2025) - [i79]Abhishek Mishra, Ritesh Sur Chowdhury, Vartul Bahuguna, Isha Pandey, Ganesh Ramakrishnan:
Language translation, and change of accent for speech-to-speech task using diffusion model. CoRR abs/2505.04639 (2025) - [i78]Aaryan Sharma, Shivansh Gupta, Samar Agarwal, Vishak Prasad C., Ganesh Ramakrishnan:
Enhancing Multi-Image Question Answering via Submodular Subset Selection. CoRR abs/2505.10533 (2025) - [i77]Manoj Balaji Jagadeeshan, Samarth Bhatia, Pretam Ray, Harshul Raj Surana, Akhil Rajeev P, Priya Mishra, Annarao Kulkarni, Ganesh Ramakrishnan, Prathosh AP, Pawan Goyal:
From Plain Text to Poetic Form: Generating Metrically-Constrained Sanskrit Verses. CoRR abs/2506.00815 (2025) - [i76]N. J. Karthika, Maharaj Brahma, Rohit Saluja, Ganesh Ramakrishnan, Maunendra Sankar Desarkar:
Multilingual Tokenization through the Lens of Indian Languages: Challenges and Insights. CoRR abs/2506.17789 (2025) - [i75]Badri Vishal Kasuba, Parag Chaudhuri, Ganesh Ramakrishnan:
DrishtiKon: Multi-Granular Visual Grounding for Text-Rich Document Images. CoRR abs/2506.21316 (2025) - 2024
- [c147]H. S. V. N. S. Kowndinya Renduchintala, Sumit Bhatia, Ganesh Ramakrishnan:
SMART: Submodular Data Mixture Strategy for Instruction Tuning. ACL (Findings) 2024: 12916-12934 - [c146]Vishak Prasad C., Colin White, Sibasis Nayak, Paarth Jain, Aziz Shameem, Prateek Garg, Ganesh Ramakrishnan:
Speeding up NAS with Adaptive Subset Selection. AutoML 2024: 3/1-23 - [c145]Anurag Shandilya, Kalash Shah, Bhavik Kanekar, Akshat Gautam, Pavni Tandon, Ganesh Ramakrishnan, Kshitij S. Jadhav:
M2IoU: A Min-Max Distance-based Loss Function for Bounding Box Regression in Medical Imaging. CIKM 2024: 4041-4045 - [c144]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 - [c143]Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal, Ganesh Ramakrishnan:
FAIR: Filtering of Automatically Induced Rules. EACL (1) 2024: 573-588 - [c142]Saeel Sandeep Nachane, Ojas Gramopadhye, 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. EMNLP (Findings) 2024: 542-573 - [c141]Rishabh Kumar, Sabyasachi Ghosh, Ganesh Ramakrishnan:
Beyond Common Words: Enhancing ASR Cross-Lingual Proper Noun Recognition Using Large Language Models. EMNLP (Findings) 2024: 6821-6828 - [c140]Ayush Maheshwari, Preethi Jyothi, Ganesh Ramakrishnan:
DictDis: Dictionary Constrained Disambiguation for Improved NMT. EMNLP (Findings) 2024: 10991-11004 - [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 S. 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 - [i74]Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan:
Gradient Coreset for Federated Learning. CoRR abs/2401.06989 (2024) - [i73]Akshat Gautam, Anurag Shandilya, Akshit Srivastava, Venkatapathy Subramanian, Ganesh Ramakrishnan, Kshitij S. Jadhav:
INSITE: labelling medical images using submodular functions and semi-supervised data programming. CoRR abs/2402.07173 (2024) - [i72]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) - [i71]Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal, Ganesh Ramakrishnan:
FAIR: Filtering of Automatically Induced Rules. CoRR abs/2402.15472 (2024) - [i70]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) - [i69]H. S. V. N. S. Kowndinya Renduchintala, Sumit Bhatia, Ganesh Ramakrishnan:
SMART: Submodular Data Mixture Strategy for Instruction Tuning. CoRR abs/2403.08370 (2024) - [i68]Karthika NJ, Ayush Maheshwari, Atul Kumar Singh, Preethi Jyothi, Ganesh Ramakrishnan, Krishnakant Bhatt:
LexGen: Domain-aware Multilingual Lexicon Generation. CoRR abs/2405.11200 (2024) - [i67]Vaibhav Singh, Amrith Krishna, Karthika NJ, Ganesh Ramakrishnan:
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs. CoRR abs/2406.17377 (2024) - [i66]Krishnakant Bhatt, Karthika NJ, Ganesh Ramakrishnan, Preethi Jyothi:
CharSS: Character-Level Transformer Model for Sanskrit Word Segmentation. CoRR abs/2407.06331 (2024) - [i65]Abhishek Kumar Singh, Rudra Murthy, 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) - [i64]Navyansh Mahla, Ganesh Ramakrishnan:
Why Gradient Subspace? Identifying and Mitigating LoRA's Bottlenecks in Federated Fine-Tuning of Large Language Models. CoRR abs/2410.23111 (2024) - [i63]Priya Mishra, Suraj Racha, Kaustubh Ponkshe, Adit Akarsh, Ganesh Ramakrishnan:
GUIDEQ: Framework for Guided Questioning for progressive informational collection and classification. CoRR abs/2411.05991 (2024) - [i62]Suraj Racha, Shubh Gupta, Humaira Firdowse, Aastik Solanki, Ganesh Ramakrishnan, Kshitij S. Jadhav:
Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare. CoRR abs/2411.10383 (2024) - [i61]Kaustubh Ponkshe, Venkatapathy Subramanian, Natwar Modani, Ganesh Ramakrishnan:
StructFormer: Document Structure-based Masked Attention and its Impact on Language Model Pre-Training. CoRR abs/2411.16618 (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]Pankaj Singh, Bhavya Patwa, Rohit Saluja, Ganesh Ramakrishnan, Parag Chaudhuri:
StreetOCRCorrect: An Interactive Framework for OCR Corrections in Chaotic Indian Street Videos. OST@ICDAR 2019: 36-40 - [c80]Rohit Saluja, Ayush Maheshwari, Ganesh Ramakrishnan, Parag Chaudhuri, Mark J. Carman:
OCR On-the-Go: Robust End-to-End Systems for Reading License Plates & Street Signs. ICDAR 2019: 154-159 - [c79]Rohit Saluja, Mayur Punjabi, Mark J. Carman, Ganesh Ramakrishnan, Parag Chaudhuri:
Sub-Word Embeddings for OCR Corrections in Highly Fusional Indic Languages. ICDAR 2019: 160-165 - [c78]Vishwajeet Kumar, Yuncheng Hua, Ganesh Ramakrishnan, Guilin Qi, Lianli Gao, Yuan-Fang Li:
Difficulty-Controllable Multi-hop Question Generation from Knowledge Graphs. ISWC (1) 2019: 382-398 - [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) - [i13]Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi:
Cross-Lingual Training for Automatic Question Generation. CoRR abs/1906.02525 (2019) - [i12]Hrishikesh Patel, Nandan Rathod, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Pushpak Bhattacharyya:
Tale of tails using rule augmented sequence labeling for event extraction. CoRR abs/1908.07018 (2019) - [i11]Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li:
ParaQG: A System for Generating Questions and Answers from Paragraphs. CoRR abs/1909.01642 (2019) - [i10]Rishabh Dabral, Nitesh B. Gundavarapu, Rahul Mitra, Abhishek Sharma, Ganesh Ramakrishnan, Arjun Jain:
Multi-Person 3D Human Pose Estimation from Monocular Images. CoRR abs/1909.10854 (2019) - [i9]Vishwajeet Kumar, Raktim Chaki, Sai Teja Talluri, Ganesh Ramakrishnan, Yuan-Fang Li, Gholamreza Haffari:
Question Generation from Paragraphs: A Tale of Two Hierarchical Models. CoRR abs/1911.03407 (2019) - [i8]Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi:
Data Programming using Continuous and Quality-Guided Labeling Functions. CoRR abs/1911.09860 (2019) - 2018
- [j11]Uma Sawant, Soumen Chakrabarti, Ganesh Ramakrishnan:
"Open-domain question answering using a knowledge graph and web corpus" by Uma Sawant, Soumen Chakrabarti and Ganesh Ramakrishnan with Martin Vesely as coordinator. SIGWEB Newsl. 2018(Winter): 4:1-4:8 (2018) - [c74]Shantanu Thakoor, Simoni Shah, Ganesh Ramakrishnan, Amitabha Sanyal:
Synthesis of Programs from Multimodal Datasets. AAAI 2018: 184-191 - [c73]Ashish Kulkarni, Narasimha Raju Uppalapati, Pankaj Singh, Ganesh Ramakrishnan:
An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments. AAAI 2018: 1479-1486 - [c72]Pankaj Joshi, Digvijaysingh Gautam, Ganesh Ramakrishnan, Preethi Jyothi:
Time Aggregation Operators for Multi-label Audio Event Detection. INTERSPEECH 2018: 3309-3313 - [c71]Ayush Maheshwari, Vishwajeet Kumar, Ganesh Ramakrishnan, J. Saketha Nath:
Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data. NAACL-HLT (Demonstrations) 2018: 46-50 - [c70]Vishwajeet Kumar, Kireeti Boorla, Yogesh Kumar Meena, Ganesh Ramakrishnan, Yuan-Fang Li:
Automating Reading Comprehension by Generating Question and Answer Pairs. PAKDD (3) 2018: 335-348 - [i7]Vishwajeet Kumar, Kireeti Boorla, Yogesh Kumar Meena, Ganesh Ramakrishnan, Yuan-Fang Li:
Automating Reading Comprehension by Generating Question and Answer Pairs. CoRR abs/1803.03664 (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) - [i5]Vishwajeet Kumar, Ganesh Ramakrishnan, Yuan-Fang Li:
A framework for automatic question generation from text using deep reinforcement learning. CoRR abs/1808.04961 (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
- [c69]Apoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain:
Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning. AAAI 2017: 1698-1704 - [c68]Rohit Saluja, Devaraj Adiga, Parag Chaudhuri, Ganesh Ramakrishnan, Mark James Carman:
Error Detection and Corrections in Indic OCR Using LSTMs. ICDAR 2017: 17-22 - [c67]Rohit Saluja, Devaraj Adiga, Ganesh Ramakrishnan, Parag Chaudhuri, Mark James Carman:
A Framework for Document Specific Error Detection and Corrections in Indic OCR. OST@ICDAR 2017: 25-30 - [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) - [i2]Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan:
Learning Discriminative Relational Features for Sequence Labeling. CoRR abs/1705.02562 (2017) - [i1]Uma Sawant, Soumen Chakrabarti, Ganesh Ramakrishnan:
More Accurate Entity Ranking Using Knowledge Graph and Web Corpus. CoRR abs/1706.00973 (2017) - 2016
- [j10]Arjun Atreya V, Ashish Kankaria, Pushpak Bhattacharyya, Ganesh Ramakrishnan:
Query Expansion in Resource-Scarce Languages: A Multilingual Framework Utilizing Document Structure. ACM Trans. Asian Low Resour. Lang. Inf. Process. 16(2): 14:1-14:17 (2016) - [c66]Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi:
Numerical Relation Extraction with Minimal Supervision. AAAI 2016: 2764-2771 - [c65]Ramakrishna B. Bairi, Raghavendra Udupa, Ganesh Ramakrishnan:
A Framework for Task-specific Short Document Expansion. CIKM 2016: 791-800 - [c64]Ramakrishna B. Bairi, Mark James Carman, Ganesh Ramakrishnan:
Beyond Clustering: Sub-DAG Discovery for Categorising Documents. CIKM 2016: 801-810 - [c63]Ashish Kulkarni, Kanika Agarwal, Pararth Shah, Sunny Raj Rathod, Ganesh Ramakrishnan:
Learning to Collectively Link Entities. CODS 2016: 2:1-2:9 - [c62]Ashish Kulkarni, Pushpak Burange, Ganesh Ramakrishnan:
Interactive Martingale Boosting. IJCAI 2016: 841-847 - [c61]Pankaj Singh, Ashish Kulkarni, Himanshu Ojha, Vishwajeet Kumar, Ganesh Ramakrishnan:
Building Compact Lexicons for Cross-Domain SMT by Mining Near-Optimal Pattern Sets. PAKDD (1) 2016: 290-303 - [c60]Chetana Gavankar, Yuan-Fang Li, Ganesh Ramakrishnan:
Explicit Query Interpretation and Diversification for Context-Driven Concept Search Across Ontologies. ISWC (1) 2016: 271-288 - 2015
- [j9]Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan:
Generalized hierarchical kernel learning. J. Mach. Learn. Res. 16: 617-652 (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 - [c58]Ramakrishna B. Bairi, Ankit Vani, Pooja Ahuja, Ganesh Ramakrishnan:
Categorising videos using a personalised category catalogue. CODS 2015: 49-58 - [c57]Ashish Kulkarni, Kanika Agarwal, Pararth Shah, Sunny Raj Rathod, Ganesh Ramakrishnan:
An Approach to Collective Entity Linking. ICON 2015: 219-228 - [c56]Chetana Gavankar, Yuan-Fang Li, Ganesh Ramakrishnan:
Context-driven Concept Search across Web Ontologies using Keyword Queries. K-CAP 2015: 20:1-20:4 - [c55]Vishwajeet Kumar, Ashish Kulkarni, Pankaj Singh, Ganesh Ramakrishnan, Ganesh Arnaal:
A Machine Assisted Human Translation System for Technical Documents. K-CAP 2015: 33:1-33:5 - [c54]Patil Deepti Reddy, Shitanshu Mishra, Ganesh Ramakrishnan, Sahana Murthy:
Thinking, Pairing, and Sharing to Improve Learning and Engagement in a Data Structures and Algorithms (DSA) Class. LaTiCE 2015: 144-151 - [c53]Gholamreza Haffari, Ajay Nagesh, Ganesh Ramakrishnan:
Optimizing Multivariate Performance Measures for Learning Relation Extraction Models. HLT-NAACL 2015: 892-900 - 2014
- [c52]Ajay Nagesh, Gholamreza Haffari, Ganesh Ramakrishnan:
Noisy Or-based model for Relation Extraction using Distant Supervision. EMNLP 2014: 1937-1941 - [c51]Ramakrishna B. Bairi, Ganesh Ramakrishnan, Vikas Sindhwani:
Personalized classifiers: evolving a classifier from a large reference knowledge graph. IDEAS 2014: 132-141 - [c50]Chetana Gavankar, Ashish Kulkarni, Ganesh Ramakrishnan:
Efficient Reuse of Structured and Unstructured Resources for Ontology Population. LREC 2014: 3654-3660 - [c49]Ramakrishna Bairi, Ganesh Ramakrishnan:
Labeling Documents in Search Collection: Evolving Classifiers on a Semantically Relevant Label Space. SMIR@SIGIR 2014: 8-15 - [c48]Ashish Kulkarni, Kanika Agarwal, Pararth Shah, Sunny Raj Rathod, Ganesh Ramakrishnan:
System for collective entity disambiguation. ERD@SIGIR 2014: 111-118 - 2013
- [j8]Rathinasamy Sakthivel, Ganesh Ramakrishnan, Selvaraj Marshal Anthoni:
Approximate controllability of fractional nonlinear differential inclusions. Appl. Math. Comput. 225: 708-717 (2013) - [j7]R. Sakthivel, Ganesh Ramakrishnan, Yong Ren, Selvaraj Marshal Anthoni:
Approximate controllability of nonlinear fractional dynamical systems. Commun. Nonlinear Sci. Numer. Simul. 18(12): 3498-3508 (2013) - [j6]Ganesh Ramakrishnan, Rathinasamy Sakthivel, Nazim I. Mahmudov, Selvaraj Marshal Anthoni:
Approximate Controllability of Fractional Integrodifferential Evolution Equations. J. Appl. Math. 2013: 291816:1-291816:7 (2013) - [j5]Soumen Chakrabarti, Ganesh Ramakrishnan, Krithi Ramamritham, Sunita Sarawagi, S. Sudarshan:
Data-based research at IIT Bombay. SIGMOD Rec. 42(1): 38-43 (2013) - [c47]Amrita Saha, Naveen Nair, Ganesh Ramakrishnan:
Optimally Extracting Discriminative Disjunctive Features for Dimensionality Reduction. COMAD 2013: 68-77 - [c46]Ashish Kulkarni, Chetana Gavankar, Ganesh Ramakrishnan, Sriram Raghavan:
Semi-automatic Dictionary Curation for Domain-Specific Ontologies. ICTAI 2013: 727-734 - [c45]Ramakrishna Bairi, Ambha A, Ganesh Ramakrishnan:
Learning to Generate Diversified Query Interpretations using Biconvex Optimization. IJCNLP 2013: 733-739 - [c44]Arjun Atreya V, Yogesh Kakde, Pushpak Bhattacharyya, Ganesh Ramakrishnan:
Structure Cognizant Pseudo Relevance Feedback. IJCNLP 2013: 982-986 - [c43]Ajay Nagesh, Naveen Nair, Ganesh Ramakrishnan:
Comparison between Explicit Learning and Implicit Modeling of Relational Features in Structured Output Spaces. ILP (Late Breaking Papers) 2013: 29-39 - [c42]Ramakrishna Bairi, A. Ambha, Ganesh Ramakrishnan:
Rel-Div: Generating Diversified Query Interpretations from Semantic Relations. PReMI 2013: 726-732 - [c41]Satyabrata Behera, Upasana Gaikwad, Ramakrishna Bairi, Ganesh Ramakrishnan:
SATTY : Word Sense Induction Application in Web Search Clustering. SemEval@NAACL-HLT 2013: 207-211 - [c40]Chetana Gavankar, Vishwajeet Kumar, Yuan-Fang Li, Ganesh Ramakrishnan:
Enriching Concept Search across Semantic Web Ontologies. ISWC (Posters & Demos) 2013: 93-96 - 2012
- [j4]Sachindra Joshi, Jayadeva, Ganesh Ramakrishnan, Suresh Chandra:
Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers. Neurocomputing 77(1): 253-260 (2012) - [c39]Naveen Nair, Amrita Saha, Ganesh Ramakrishnan, Shonali Krishnaswamy:
Rule Ensemble Learning Using Hierarchical Kernels in Structured Output Spaces. AAAI 2012: 1061-1067 - [c38]Ajay Nagesh, Ganesh Ramakrishnan, Laura Chiticariu, Rajasekar Krishnamurthy, Ankush Dharkar, Pushpak Bhattacharyya:
Towards Efficient Named-Entity Rule Induction for Customizability. EMNLP-CoNLL 2012: 128-138 - [c37]Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan:
Probing the Space of Optimal Markov Logic Networks for Sequence Labeling. ILP 2012: 193-208 - [c36]Amrita Saha, Ashwin Srinivasan, Ganesh Ramakrishnan:
What Kinds of Relational Features Are Useful for Statistical Learning? ILP 2012: 209-224 - [c35]Arjun Atreya V, Swapnil Chaudhari, Pushpak Bhattacharyya, Ganesh Ramakrishnan:
Building Multilingual Search Index using open source framework. WSSANLP@COLING 2012: 201-210 - [c34]Swapnil Chaudhari, Arjun Atreya V, Pushpak Bhattacharyya, Ganesh Ramakrishnan:
Error tracking in search engine development. WSSANLP@COLING 2012: 221-228 - [c33]Soumen Chakrabarti, Sasidhar Kasturi, Bharath Balakrishnan, Ganesh Ramakrishnan, Rohit Saraf:
Compressed data structures for annotated web search. WWW 2012: 121-130 - 2011
- [j3]Ashwin Srinivasan, Ganesh Ramakrishnan:
Parameter Screening and Optimisation for ILP using Designed Experiments. J. Mach. Learn. Res. 12: 627-662 (2011) - [c32]Ullas Nambiar, Tanveer A. Faruquie, L. Venkata Subramaniam, Sumit Negi, Ganesh Ramakrishnan:
Discovering customer intent in real-time for streamlining service desk conversations. CIKM 2011: 1383-1388 - [c31]Naveen Nair, Ganesh Ramakrishnan, Shonali Krishnaswamy:
Enhancing Activity Recognition in Smart Homes Using Feature Induction. DaWaK 2011: 406-418 - [c30]Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan:
Efficient Rule Ensemble Learning using Hierarchical Kernels. ICML 2011: 161-168 - [c29]Soumen Chakrabarti, Devshree Sane, Ganesh Ramakrishnan:
Web-scale entity-relation search architecture. WWW (Companion Volume) 2011: 21-22 - 2010
- [c28]Srihari Kalgi, Chirag Gosar, Prasad Gawde, Ganesh Ramakrishnan, Kekin Gada, Chander Iyer, T. V. S. Kiran, Ashwin Srinivasan:
BET : An Inductive Logic Programming Workbench. ILP 2010: 130-137 - [c27]Naveen Nair, Anandraj Govindan, Chander Jayaraman, T. V. S. Kiran, Ganesh Ramakrishnan:
Pruning Search Space for Weighted First Order Horn Clause Satisfiability. ILP 2010: 171-180
2000 – 2009
- 2009
- [j2]Lucia Specia, Ashwin Srinivasan, Sachindra Joshi, Ganesh Ramakrishnan, Maria das Graças Volpe Nunes:
An investigation into feature construction to assist word sense disambiguation. Mach. Learn. 76(1): 109-136 (2009) - [c26]Anup Patel, Ganesh Ramakrishnan, Pushpak Bhattacharyya:
Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages. ILP 2009: 178-185 - [c25]Ashwin Srinivasan, Ganesh Ramakrishnan:
Parameter Screening and Optimisation for ILP Using Designed Experiments. ILP 2009: 217-225 - [c24]Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, Soumen Chakrabarti:
Collective annotation of Wikipedia entities in web text. KDD 2009: 457-466 - [c23]Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramakrishnan:
Learning to rank for quantity consensus queries. SIGIR 2009: 243-250 - 2008
- [c22]Anup Chalamalla, Sumit Negi, L. Venkata Subramaniam, Ganesh Ramakrishnan:
Identification of class specific discourse patterns. CIKM 2008: 1193-1202 - [c21]Sanjeet Khaitan, Ganesh Ramakrishnan, Sachindra Joshi, Anup Chalamalla:
RAD: A Scalable Framework for Annotator Development. ICDE 2008: 1624-1627 - [c20]Venkatesan Chakravarthy, Sachindra Joshi, Ganesh Ramakrishnan, Shantanu Godbole, Sreeram Balakrishnan:
Learning Decision Lists with Known Rules for Text Mining. IJCNLP 2008: 835-840 - [c19]Sachindra Joshi, Ganesh Ramakrishnan, Ashwin Srinivasan:
Feature Construction Using Theory-Guided Sampling and Randomised Search. ILP 2008: 140-157 - [c18]Ganesh Ramakrishnan, Sachindra Joshi, Sanjeet Khaitan, Sreeram Balakrishnan:
Optimization issues in inverted index-based entity annotation. Infoscale 2008: 27 - 2007
- [c17]Shantanu Godbole, Sachindra Joshi, Sameep Mehta, Ganesh Ramakrishnan:
Toward interactive learning by concept ordering. Hypertext 2007: 149-150 - [c16]Ganesh Ramakrishnan, Sachindra Joshi, Sreeram Balakrishnan, Ashwin Srinivasan:
Using ILP to Construct Features for Information Extraction from Semi-structured Text. ILP 2007: 211-224 - [c15]Lucia Specia, Maria das Graças Volpe Nunes, Ashwin Srinivasan, Ganesh Ramakrishnan:
USP-IBM-1 and USP-IBM-2: The ILP-based Systems for Lexical Sample WSD in SemEval-2007. SemEval@ACL 2007: 442-445 - 2006
- [c14]Ganesh Ramakrishnan, Sreeram Balakrishnan, Sachindra Joshi:
Entity Annotation based on Inverse Index Operations. EMNLP 2006: 492-500 - [c13]Ganesh Ramakrishnan, Sachindra Joshi, Sumit Negi, Raghu Krishnapuram, Sreeram Balakrishnan:
Automatic Sales Lead Generation from Web Data. ICDE 2006: 101 - [c12]Lucia Specia, Ashwin Srinivasan, Ganesh Ramakrishnan, Maria das Graças Volpe Nunes:
Word Sense Disambiguation Using Inductive Logic Programming. ILP 2006: 409-423 - 2005
- [c11]Ganesh Ramakrishnan, Deepa Paranjpe, Byron Dom:
A structure-sensitive framework for text categorization. CIKM 2005: 337-338 - [c10]Delip Rao, Sachindra Joshi, Sreeram Balakrishnan, Ganesh Ramakrishnan:
VisualRDR: A general framework for creating, maintaining and learning of ripple down rules for Information Extraction. COMAD (b) 2005 - [c9]Shantanu Godbole, Ganesh Ramakrishnan, Sunita Sarawagi:
Text Classification with Evolving Label-Sets. ICDM 2005: 629-632 - [c8]Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Raghu Krishnapuram, Pushpak Bhattacharyya:
A model for handling approximate, noisy or incomplete labeling in text classification. ICML 2005: 681-688 - 2004
- [c7]Kedar Bellare, Anish Das Sarma, Atish Das Sarma, Navneet Loiwal, Vaibhav Mehta, Ganesh Ramakrishnan, Pushpak Bhattacharyya:
Generic Text Summarization Using WordNet. LREC 2004 - [c6]Ganesh Ramakrishnan, B. Prithviraj, Pushpak Bhattacharya:
A gloss-centered algorithm for disambiguation. SENSEVAL@ACL 2004 - [c5]Ganesh Ramakrishnan, Soumen Chakrabarti, Deepa Paranjpe, Pushpak Bhattacharyya:
Is question answering an acquired skill? WWW 2004: 111-120 - 2003
- [j1]Ganesh Ramakrishnan, Pushpak Bhattacharyya:
Text Representation with WordNet Synsets Using Soft Sense Disambiguation. Ingénierie des Systèmes d Inf. 8(3): 55-70 (2003) - [c4]Ganesh Ramakrishnan, Pushpak Bhattacharyya:
Text Representation with WordNet Synsets using Soft Sense Disambiguation. NLDB 2003: 214-227 - [c3]Ganesh Ramakrishnan, Kedar Bellare, Chirag Shah, Deepa Paranjpe:
Generic Text Summarization Using Wordnet for Novelty and Hard. TREC 2003: 303-304 - [c2]Deepa Paranjpe, Ganesh Ramakrishnan, Sumana Srinivasan:
Passage Scoring for Question Answering via Bayesian Inference on Lexical Relations. TREC 2003: 305-210
1990 – 1999
- 1994
- [c1]Sandip Parikh, Michael L. Bushnell, James Sienicki, Ganesh Ramakrishnan:
Distributed Computing, Automatic Design, and Error Recovery in the ULYSSES II Framework. EDAC-ETC-EUROASIC 1994: 610-617
Coauthor Index
Pushpak Bhattacharyya
aka: Pushpak Bhattacharya
aka: Pushpak Bhattacharya
[c135] [i74] [c132] [c128] [c126] [i59] [c121] [c120] [c118] [c117] [c112] [c111] [c110] [i52] [i50] [i49] [i46] [i45] [i42] [c109] [c108] [c107] [c101] [c100] [i37] [i36] [i35] [i29] [i28] [i26] [i25] [i24] [i22] [i21] [c93] [c90] [i20] [i19] [i18] [i16] [c77] [c76] [c75] [i15] [i14] [i6] [i4] [i3] [c59]
KrishnaTeja Killamsetty
aka: Krishnateja Killamsetty
aka: Krishnateja Killamsetty
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