Partha Talukdar

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Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Shikhar VashishthResearch Scientist, GoogleDirección de correo verificada de google.com
Naganand YadatiNational University of SingaporeDirección de correo verificada de nus.edu.sg
Soumya SanyalUniversity of Southern CaliforniaDirección de correo verificada de usc.edu
Fernando PereiraVP, GoogleDirección de correo verificada de google.com
Madhav NimishakaviAmazon IMLDirección de correo verificada de amazon.com
Koby CrammerProfessor of Electrical Engineering, Technion - Israel Institute of TechnologyDirección de correo verificada de ee.technion.ac.il
Prateek YadavPhD, University of North Carolina Chapel HillDirección de correo verificada de cs.unc.edu
Evangelos E. PapalexakisAssociate Professor and Ross Family Chair, University of California RiversideDirección de correo verificada de cs.ucr.edu
Christos FaloutsosCMUDirección de correo verificada de cs.cmu.edu
Alona FysheAssociate Professor, Dept. of Computing Science & Dept. of Psychology, University of AlbertaDirección de correo verificada de ualberta.ca
Vikram NitinColumbia UniversityDirección de correo verificada de columbia.edu
Nikolaos SidiropoulosLouis T. Rader Professor, Electrical & Computer Engineering, University of VirginiaDirección de correo verificada de virginia.edu
Zachary G. IvesChair & Professor of Computer and Information Science, University of PennsylvaniaDirección de correo verificada de cis.upenn.edu
Swayambhu Nath RaySenior Applied Scientist at Amazon AGIDirección de correo verificada de amazon.com
Matt GardnerScaled CognitionDirección de correo verificada de scaledcognition.com
Anand LouisIndian Institute of ScienceDirección de correo verificada de iisc.ac.in
Sawan KumarIndian Institute of ScienceDirección de correo verificada de iisc.ac.in
Shib Sankar DasguptaPhD in Computer Science, UMass AmherstDirección de correo verificada de umass.edu
Amarnag SubramanyaSenior Research Scientist, Google ResearchDirección de correo verificada de google.com

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Partha Talukdar

Google Research and IISc Bangalore

Dirección de correo verificada de iisc.ac.in - Página principal

Natural Language Processing Machine Learning Multilingual learning Knowledge Graphs


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Never-ending Learning T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ... Communications of the ACM 61 (5), 103-115, 2018	1338	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	1338	2015
Composition-based multi-relational graph convolutional networks S Vashishth, S Sanyal, V Nitin, P Talukdar arXiv preprint arXiv:1911.03082, 2019	1013	2019
Improving multi-hop question answering over knowledge graphs using knowledge base embeddings A Saxena, A Tripathi, P Talukdar ACL 2020, 4498-4507, 2020	518	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	505	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	461	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	387	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	337	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	334	2014
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	300	2018
New regularized algorithms for transductive learning PP Talukdar, K Crammer Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009	300	2009
Muril: Multilingual representations for indian languages S Khanuja, D Bansal, S Mehtani, S Khosla, A Dey, B Gopalan, ... arXiv preprint arXiv:2103.10730, 2021	270	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	227	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	219	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	203	2019
Graph-based semi-supervised learning A Subramanya, PP Talukdar Morgan & Claypool Publishers, 2014	195	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	184	2019
NILE: Natural Language Inference with Faithful Natural Language Explanations S Kumar, P Talukdar ACL 2020, 2020	174	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	169	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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