default search action
Ganesh Ramakrishnan
Person information
- affiliation: Indian Institute of Technology, Bombay, India
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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
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
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
Camaraderie: Content-based Knowledge Transfer for Medical Image Labelling using Supervised Autoencoders in a Decentralized Setting. CIKM 2023: 4229-4233 - [c130]Ayush Maheshwari
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
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
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
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
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
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
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
Sub-Word Embeddings for OCR Corrections in Highly Fusional Indic Languages. ICDAR 2019: 160-165 - [c78]Vishwajeet Kumar
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
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
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
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
Building Compact Lexicons for Cross-Domain SMT by Mining Near-Optimal Pattern Sets. PAKDD (1) 2016: 290-303 - [c60]Chetana Gavankar, Yuan-Fang Li
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
Context-driven Concept Search across Web Ontologies using Keyword Queries. K-CAP 2015: 20:1-20:4 - [c55]Vishwajeet Kumar
A Machine Assisted Human Translation System for Technical Documents. K-CAP 2015: 33:1-33:5 - [c54]Patil Deepti Reddy
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
Approximate controllability of fractional nonlinear differential inclusions. Appl. Math. Comput. 225: 708-717 (2013) - [j7]R. Sakthivel
Approximate controllability of nonlinear fractional dynamical systems. Commun. Nonlinear Sci. Numer. Simul. 18(12): 3498-3508 (2013) - [j6]Ganesh Ramakrishnan
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
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
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] [i70] [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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:13 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: