Takip et
Partha Talukdar
Partha Talukdar
Google Research and IISc Bangalore
iisc.ac.in üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Never-ending Learning
T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ...
Communications of the ACM 61 (5), 103-115, 2018
9572018
Never-Ending Learning
T Mitchell, W Cohen, E Hruschka Jr, P Talukdar, J Betteridge, A Carlson, ...
Twenty-Ninth Conference on Artificial Intelligence (AAAI), 2015
9572015
New regularized algorithms for transductive learning
PP Talukdar, K Crammer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009
2812009
Composition-based multi-relational graph convolutional networks
S Vashishth, S Sanyal, V Nitin, P Talukdar
arXiv preprint arXiv:1911.03082, 2019
2542019
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
2282014
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
1882018
Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding
B Murphy, P Talukdar, T Mitchell
International Conference on Computational Linguistics (COLING), 2012
1672012
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
1652008
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
1642018
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
1602014
Graph-based semi-supervised learning
A Subramanya, PP Talukdar
Synthesis Lectures on Artificial Intelligence and Machine Learning 8 (4), 1-125, 2014
1472014
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
144*2019
Improving multi-hop question answering over knowledge graphs using knowledge base embeddings
A Saxena, A Tripathi, P Talukdar
ACL 2020, 4498-4507, 2020
1412020
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
1342007
FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop
A Beutel, PP Talukdar, A Kumar, C Faloutsos, EE Papalexakis, EP Xing
Proceedings of the 2014 SIAM international conference on data mining, 109-117, 2014
1332014
The orchestra collaborative data sharing system
ZG Ives, TJ Green, G Karvounarakis, NE Taylor, V Tannen, PP Talukdar, ...
ACM Sigmod Record 37 (3), 26-32, 2008
1202008
Improving learning and inference in a large knowledge-base using latent syntactic cues
M Gardner, P Talukdar, B Kisiel, T Mitchell
Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013
1172013
Experiments in graph-based semi-supervised learning methods for class-instance acquisition
PP Talukdar, F Pereira
1162010
Learning to create data-integrating queries
PP Talukdar, M Jacob, MS Mehmood, K Crammer, ZG Ives, F Pereira, ...
Proceedings of the VLDB Endowment 1 (1), 785-796, 2008
1152008
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
1132020
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