Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDGanesh 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
- 2021
[c102]KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer:
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. AAAI 2021: 8110-8118- [c101]Ayush Maheshwari, Oishik Chatterjee, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer:
Semi-Supervised Data Programming with Subset Selection. ACL/IJCNLP (Findings) 2021: 4640-4651 - [c100]Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer:
Rule Augmented Unsupervised Constituency Parsing. ACL/IJCNLP (Findings) 2021: 4923-4932 - [c99]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 - [c98]Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan, Saketha Nath Jagaralpudi:
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification. EACL 2021: 2829-2841 - [c97]Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar, Ganesh Ramakrishnan, Preethi Jyothi:
Meta-Learning for Effective Multi-task and Multilingual Modelling. EACL 2021: 3600-3612 - [c96]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 - [c95]Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De:
Training Data Subset Selection for Regression with Controlled Generalization Error. ICML 2021: 9202-9212 - [c94]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 - [c93]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] - [i35]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) - [i34]Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar, Ganesh Ramakrishnan, Preethi Jyothi:
Meta-Learning for Effective Multi-task and Multilingual Modelling. CoRR abs/2101.10368 (2021) - [i33]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) - [i32]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) - [i31]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) - [i30]Jayaprakash Akula, Abhishek Sharma, Rishabh Dabral, Ganesh Ramakrishnan, Preethi Jyothi:
Rudder: A Cross Lingual Video and Text Retrieval Dataset. CoRR abs/2103.05457 (2021) - [i29]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) - [i28]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) - [i27]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) - [i26]Oishik Chatterjee, Aashish Waikar, Vishwajeet Kumar, Ganesh Ramakrishnan, Kavi Arya:
A Weakly Supervised Model for Solving Math word Problems. CoRR abs/2104.06722 (2021) - [i25]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) - [i24]Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer:
Rule Augmented Unsupervised Constituency Parsing. CoRR abs/2105.10193 (2021) - [i23]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) - [i22]Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De:
Training Data Subset Selection for Regression with Controlled Generalization Error. CoRR abs/2106.12491 (2021) - [i21]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) - 2020
- [c92]Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi:
Robust Data Programming with Precision-guided Labeling Functions. AAAI 2020: 3397-3404 - [c91]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 - [c90]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 - [c89]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 - [c88]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) - [c87]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 - [c86]Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi:
Cross-Lingual Training for Automatic Question Generation. ACL (1) 2019: 4863-4872 - [c85]Sukalyan Bhakat, Ganesh Ramakrishnan:
Anomaly Detection in Surveillance Videos. COMAD/CODS 2019: 252-255 - [c84]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 - [c83]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 - [c82]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 - [c81]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 - [c80]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 - [c79]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 - [c78]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 - [c77]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 - [c76]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 - [c75]Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan:
A Framework Towards Domain Specific Video Summarization. WACV 2019: 666-675 - [c74]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) - [c73]Shantanu Thakoor, Simoni Shah, Ganesh Ramakrishnan, Amitabha Sanyal:
Synthesis of Programs from Multimodal Datasets. AAAI 2018: 184-191 - [c72]Ashish Kulkarni, Narasimha Raju Uppalapati, Pankaj Singh, Ganesh Ramakrishnan:
An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments. AAAI 2018: 1479-1486 - [c71]Pankaj Joshi, Digvijaysingh Gautam, Ganesh Ramakrishnan, Preethi Jyothi:
Time Aggregation Operators for Multi-label Audio Event Detection. INTERSPEECH 2018: 3309-3313 - [c70]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 - [c69]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
- [c68]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 - [c67]Rohit Saluja, Devaraj Adiga, Parag Chaudhuri, Ganesh Ramakrishnan, Mark James Carman:
Error Detection and Corrections in Indic OCR Using LSTMs. ICDAR 2017: 17-22 - [c66]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) - [c65]Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi:
Numerical Relation Extraction with Minimal Supervision. AAAI 2016: 2764-2771 - [c64]Ramakrishna B. Bairi, Raghavendra Udupa, Ganesh Ramakrishnan:
A Framework for Task-specific Short Document Expansion. CIKM 2016: 791-800 - [c63]Ramakrishna B. Bairi, Mark James Carman, Ganesh Ramakrishnan:
Beyond Clustering: Sub-DAG Discovery for Categorising Documents. CIKM 2016: 801-810 - [c62]Ashish Kulkarni, Kanika Agarwal, Pararth Shah, Sunny Raj Rathod, Ganesh Ramakrishnan:
Learning to Collectively Link Entities. CODS 2016: 2:1-2:9 - [c61]Ashish Kulkarni, Pushpak Burange, Ganesh Ramakrishnan:
Interactive Martingale Boosting. IJCAI 2016: 841-847 - [c60]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 - [c59]Chetana Gavankar, Yuan-Fang Li, Ganesh Ramakrishnan:
Explicit Query Interpretation and Diversification for Context-Driven Concept Search Across Ontologies. International Semantic Web Conference (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) - [c58]Ramakrishna Bairi, Rishabh K. Iyer, Ganesh Ramakrishnan, Jeff A. Bilmes:
Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures. ACL (1) 2015: 553-563 - [c57]Ramakrishna B. Bairi, Ankit Vani, Pooja Ahuja, Ganesh Ramakrishnan:
Categorising videos using a personalised category catalogue. CODS 2015: 49-58 - [c56]Ashish Kulkarni, Kanika Agarwal, Pararth Shah, Sunny Raj Rathod, Ganesh Ramakrishnan:
An Approach to Collective Entity Linking. ICON 2015: 219-228 - [c55]Chetana Gavankar, Yuan-Fang Li, Ganesh Ramakrishnan:
Context-driven Concept Search across Web Ontologies using Keyword Queries. K-CAP 2015: 20:1-20:4 - [c54]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 - [c53]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 - [c52]Gholamreza Haffari, Ajay Nagesh, Ganesh Ramakrishnan:
Optimizing Multivariate Performance Measures for Learning Relation Extraction Models. HLT-NAACL 2015: 892-900 - 2014
- [c51]Ajay Nagesh, Gholamreza Haffari, Ganesh Ramakrishnan:
Noisy Or-based model for Relation Extraction using Distant Supervision. EMNLP 2014: 1937-1941 - [c50]Ramakrishna B. Bairi, Ganesh Ramakrishnan, Vikas Sindhwani:
Personalized classifiers: evolving a classifier from a large reference knowledge graph. IDEAS 2014: 132-141 - [c49]Chetana Gavankar, Ashish Kulkarni, Ganesh Ramakrishnan:
Efficient Reuse of Structured and Unstructured Resources for Ontology Population. LREC 2014: 3654-3660 - [c48]Ramakrishna Bairi, Ganesh Ramakrishnan:
Labeling Documents in Search Collection: Evolving Classifiers on a Semantically Relevant Label Space. SMIR@SIGIR 2014: 8-15 - [c47]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) - [c46]Amrita Saha, Naveen Nair, Ganesh Ramakrishnan:
Optimally Extracting Discriminative Disjunctive Features for Dimensionality Reduction. COMAD 2013: 68-77 - [c45]Ashish Kulkarni, Chetana Gavankar, Ganesh Ramakrishnan, Sriram Raghavan:
Semi-automatic Dictionary Curation for Domain-Specific Ontologies. ICTAI 2013: 727-734 - [c44]Ramakrishna Bairi, Ambha A, Ganesh Ramakrishnan:
Learning to Generate Diversified Query Interpretations using Biconvex Optimization. IJCNLP 2013: 733-739 - [c43]Arjun Atreya V, Yogesh Kakde, Pushpak Bhattacharyya, Ganesh Ramakrishnan:
Structure Cognizant Pseudo Relevance Feedback. IJCNLP 2013: 982-986 - [c42]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 - [c41]Ramakrishna Bairi, A. Ambha, Ganesh Ramakrishnan:
Rel-Div: Generating Diversified Query Interpretations from Semantic Relations. PReMI 2013: 726-732 - [c40]Satyabrata Behera, Upasana Gaikwad, Ramakrishna Bairi, Ganesh Ramakrishnan:
SATTY : Word Sense Induction Application in Web Search Clustering. SemEval@NAACL-HLT 2013: 207-211 - [c39]Chetana Gavankar, Vishwajeet Kumar, Yuan-Fang Li, Ganesh Ramakrishnan:
Enriching Concept Search across Semantic Web Ontologies. International Semantic Web Conference (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) - [c38]Naveen Nair, Amrita Saha, Ganesh Ramakrishnan, Shonali Krishnaswamy:
Rule Ensemble Learning Using Hierarchical Kernels in Structured Output Spaces. AAAI 2012 - [c37]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 - [c36]Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan:
Probing the Space of Optimal Markov Logic Networks for Sequence Labeling. ILP 2012: 193-208 - [c35]Amrita Saha, Ashwin Srinivasan, Ganesh Ramakrishnan:
What Kinds of Relational Features Are Useful for Statistical Learning? ILP 2012: 209-224 - [c34]Arjun Atreya V, Swapnil Chaudhari, Pushpak Bhattacharyya, Ganesh Ramakrishnan:
Building Multilingual Search Index using open source framework. WSSANLP@COLING 2012: 201-210 - [c33]Swapnil Chaudhari, Arjun Atreya V, Pushpak Bhattacharyya, Ganesh Ramakrishnan:
Error tracking in search engine development. WSSANLP@COLING 2012: 221-228 - [c32]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) - [c31]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 - [c30]Naveen Nair, Ganesh Ramakrishnan, Shonali Krishnaswamy:
Enhancing Activity Recognition in Smart Homes Using Feature Induction. DaWaK 2011: 406-418 - [c29]Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan:
Efficient Rule Ensemble Learning using Hierarchical Kernels. ICML 2011: 161-168 - [c28]Soumen Chakrabarti, Devshree Sane, Ganesh Ramakrishnan:
Web-scale entity-relation search architecture. WWW (Companion Volume) 2011: 21-22 - 2010
- [c27]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 - [c26]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) - [c25]Anup Patel, Ganesh Ramakrishnan, Pushpak Bhattacharyya:
Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages. ILP 2009: 178-185 - [c24]Ashwin Srinivasan, Ganesh Ramakrishnan:
Parameter Screening and Optimisation for ILP Using Designed Experiments. ILP 2009: 217-225 - [c23]Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, Soumen Chakrabarti:
Collective annotation of Wikipedia entities in web text. KDD 2009: 457-466 - [c22]Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramakrishnan:
Learning to rank for quantity consensus queries. SIGIR 2009: 243-250 - 2008
- [c21]Anup Chalamalla, Sumit Negi, L. Venkata Subramaniam, Ganesh Ramakrishnan:
Identification of class specific discourse patterns. CIKM 2008: 1193-1202