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ORCIDGanesh Ramakrishnan
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- affiliation: Indian Institute of Technology, Bombay, India
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2020 – today
- 2022
[c110]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- [c109]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 - [i47]Samrat Dutta, Shreyansh Jain, Ayush Maheshwari, Ganesh Ramakrishnan, Preethi Jyothi:
Error Correction in ASR using Sequence-to-Sequence Models. CoRR abs/2202.01157 (2022) - [i46]Durga Sivasubramanian, Pradeep Shenoy, Prathosh AP, Ganesh Ramakrishnan:
ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing. CoRR abs/2202.03250 (2022) - [i45]Vishal Kaushal, Ganesh Ramakrishnan, Rishabh K. Iyer:
Submodlib: A Submodular Optimization Library. CoRR abs/2202.10680 (2022) - [i44]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) - [i43]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) - [i42]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) - [i41]Piyush Singh Pasi, Shubham Nemani, Preethi Jyothi, Ganesh Ramakrishnan:
Investigating Modality Bias in Audio Visual Video Parsing. CoRR abs/2203.16860 (2022) - [i40]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) - 2021
- [c108]KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer:
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. AAAI 2021: 8110-8118 - [c107]Ayush Maheshwari, Oishik Chatterjee, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer:
Semi-Supervised Data Programming with Subset Selection. ACL/IJCNLP (Findings) 2021: 4640-4651 - [c106]Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer:
Rule Augmented Unsupervised Constituency Parsing. ACL/IJCNLP (Findings) 2021: 4923-4932 - [c105]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 - [c104]Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan, Saketha Nath Jagaralpudi:
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification. EACL 2021: 2829-2841 - [c103]Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar, Ganesh Ramakrishnan, Preethi Jyothi:
Meta-Learning for Effective Multi-task and Multilingual Modelling. EACL 2021: 3600-3612 - [c102]Shivam Sood
, Rohit Saluja, Ganesh Ramakrishnan, Parag Chaudhuri:
CATALIST: CAmera TrAnsformations for Multi-LIngual Scene Text Recognition. ICDAR Workshops (1) 2021: 213-228 - [c101]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 - [c100]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 - [c99]Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De:
Training Data Subset Selection for Regression with Controlled Generalization Error. ICML 2021: 9202-9212 - [c98]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 - [c97]Jatin Lamba, Abhishek, Jayaprakash Akula, Rishabh Dabral, Preethi Jyothi, Ganesh Ramakrishnan:
Cross-Modal Learning for Audio-Visual Video Parsing. Interspeech 2021: 1937-1941 - [c96]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 - [c95]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 - [c94]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 Jagaralpudi:
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
- [c93]Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi:
Robust Data Programming with Precision-guided Labeling Functions. AAAI 2020: 3397-3404 - [c92]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 - [c91]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 - [c90]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 - [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 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 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]