Partha Talukdar

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Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Shikhar VashishthResearch Scientist, Google DeepMindVerified email at google.com
Naganand YadatiNational University of SingaporeVerified email at nus.edu.sg
Soumya SanyalUniversity of Southern CaliforniaVerified email at usc.edu
Fernando PereiraVP, GoogleVerified email at google.com
Madhav NimishakaviAmazon IMLVerified email at amazon.com
Koby CrammerProfessor of Electrical Engineering, Technion - Israel Institute of TechnologyVerified email at ee.technion.ac.il
Prateek YadavPhD, University of North Carolina Chapel HillVerified email at cs.unc.edu
Evangelos E. PapalexakisAssociate Professor and Ross Family Chair, University of California RiversideVerified email at cs.ucr.edu
Christos FaloutsosCMUVerified email at cs.cmu.edu
Alona FysheAssociate Professor, Dept. of Computing Science & Dept. of Psychology, University of AlbertaVerified email at ualberta.ca
Vikram NitinColumbia UniversityVerified email at columbia.edu
Nikolaos SidiropoulosLouis T. Rader Professor, Electrical & Computer Engineering, University of VirginiaVerified email at virginia.edu
Zachary G. IvesChair & Professor of Computer and Information Science, University of PennsylvaniaVerified email at cis.upenn.edu
Swayambhu Nath RaySenior Applied Scientist at Amazon AGIVerified email at amazon.com
Anand LouisIndian Institute of ScienceVerified email at iisc.ac.in
Matt GardnerScaled CognitionVerified email at scaledcognition.com
Shib Sankar DasguptaPhD in Computer Science, UMass AmherstVerified email at umass.edu
Sawan KumarIndian Institute of ScienceVerified email at iisc.ac.in
Amarnag SubramanyaSenior Research Scientist, Google ResearchVerified email at google.com

Partha Talukdar

Google Research and IISc Bangalore

Verified email at iisc.ac.in - Homepage

Natural Language Processing Machine Learning Multilingual learning Knowledge Graphs


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Never-ending Learning T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ... Communications of the ACM 61 (5), 103-115, 2018	1357	2018
Never-Ending Learning T Mitchell, W Cohen, E Hruschka Jr, P Talukdar, J Betteridge, A Carlson, ... Twenty-Ninth Conference on Artificial Intelligence (AAAI), 2015	1357	2015
Composition-based multi-relational graph convolutional networks S Vashishth, S Sanyal, V Nitin, P Talukdar arXiv preprint arXiv:1911.03082, 2019	1060	2019
Improving multi-hop question answering over knowledge graphs using knowledge base embeddings A Saxena, A Tripathi, P Talukdar ACL 2020, 4498-4507, 2020	540	2020
Hypergcn: A new method for training graph convolutional networks on hypergraphs N Yadati, M Nimishakavi, P Yadav, V Nitin, A Louis, P Talukdar Advances in neural information processing systems 32, 2019	524	2019
Hyte: Hyperplane-based temporally aware knowledge graph embedding SS Dasgupta, SN Ray, P Talukdar Proceedings of the 2018 conference on empirical methods in natural language …, 2018	483	2018
Interacte: Improving convolution-based knowledge graph embeddings by increasing feature interactions S Vashishth, S Sanyal, V Nitin, N Agrawal, P Talukdar Proceedings of the AAAI conference on artificial intelligence 34 (03), 3009-3016, 2020	402	2020
Asap: Adaptive structure aware pooling for learning hierarchical graph representations E Ranjan, S Sanyal, P Talukdar Proceedings of the AAAI conference on artificial intelligence 34 (04), 5470-5477, 2020	351	2020
Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses L Wehbe, B Murphy, P Talukdar, A Fyshe, A Ramdas, T Mitchell PloS one 9 (11), e112575, 2014	341	2014
New regularized algorithms for transductive learning PP Talukdar, K Crammer Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009	302	2009
Reside: Improving distantly-supervised neural relation extraction using side information S Vashishth, R Joshi, SS Prayaga, C Bhattacharyya, P Talukdar arXiv preprint arXiv:1812.04361, 2018	301	2018
Muril: Multilingual representations for indian languages S Khanuja, D Bansal, S Mehtani, S Khosla, A Dey, B Gopalan, ... arXiv preprint arXiv:2103.10730, 2021	282	2021
Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding B Murphy, P Talukdar, T Mitchell International Conference on Computational Linguistics (COLING), 2012	230	2012
Incorporating vector space similarity in random walk inference over knowledge bases M Gardner, P Talukdar, J Krishnamurthy, T Mitchell Proceedings of the 2014 conference on empirical methods in natural language …, 2014	221	2014
Kvqa: Knowledge-aware visual question answering S Shah, A Mishra, N Yadati, PP Talukdar Proceedings of the AAAI conference on artificial intelligence 33 (01), 8876-8884, 2019	216	2019
Graph-based semi-supervised learning A Subramanya, PP Talukdar Morgan & Claypool Publishers, 2014	197	2014
A re-evaluation of knowledge graph completion methods Z Sun, S Vashishth, S Sanyal, P Talukdar, Y Yang arXiv preprint arXiv:1911.03903, 2019	191	2019
NILE: Natural Language Inference with Faithful Natural Language Explanations S Kumar, P Talukdar ACL 2020, 2020	175	2020
Weakly-supervised acquisition of labeled class instances using graph random walks P Talukdar, J Reisinger, M Pasca, D Ravichandran, R Bhagat, F Pereira Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008	170	2008
Automatic code assignment to medical text K Crammer, M Dredze, K Ganchev, P Talukdar, S Carroll Biological, translational, and clinical language processing, 129-136, 2007	151	2007

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