Shikhar Vashishth
Shikhar Vashishth
Bestätigte E-Mail-Adresse bei cs.cmu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
S Vashishth, R Joshi, SS Prayaga, C Bhattacharyya, P Talukdar
Conference on Empirical Methods in Natural Language Processing (EMNLP), 1257 …, 2018
392018
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information
S Vashishth, P Jain, P Talukdar
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 1317-1327, 2018
222018
Dating Documents using Graph Convolution Networks
S Vashishth, SS Dasgupta, SN Ray, P Talukdar
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
122018
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
S Vashishth, M Bhandari, P Yadav, P Rai, C Bhattacharyya, P Talukdar
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
10*2019
Addressing Challenges in Browser Based P2P Content Sharing Framework Using WebRTC
S Vashishth, Y Sinha, KH Babu
2016 IEEE 30th International Conference on Advanced Information Networking …, 2016
92016
Attention interpretability across nlp tasks
S Vashishth, S Upadhyay, GS Tomar, M Faruqui
arXiv preprint arXiv:1909.11218, 2019
62019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
S Vashishth, P Yadav, M Bhandari, P Talukdar
Proceedings of the International Conference on Artificial Intelligence and …, 2019
62019
A Re-evaluation of Knowledge Graph Completion Methods
Z Sun, S Vashishth, S Sanyal, P Talukdar, Y Yang
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
42020
Composition-based multi-relational graph convolutional networks
S Vashishth, S Sanyal, V Nitin, P Talukdar
Proceedings of International Conference on Learning Representations 2020 (ICLR), 2020
32020
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
S Vashishth, S Sanyal, V Nitin, N Agrawal, P Talukdar
Proceedings of Thiry-Fourth AAAI conference on Artificial Intelligence (AAAI …, 2020
32020
Lovasz Convolutional Networks
P Yadav, M Nimishakavi, N Yadati, A Rajkumar, P Talukdar
Proceedings of the International Conference on Artificial Intelligence and …, 2019
32019
Real time monitoring of packet loss in software defined networks
Y Sinha, S Vashishth, K Haribabu
International Conference on Ubiquitous Communications and Network Computing …, 2017
32017
Estimation of Raw Packets in SDN
Y Sinha, S Vashishth, K Haribabu
International Conference on Ubiquitous Communications and Network Computing …, 2017
12017
Meticulous measurement of control packets in SDN
Y Sinha, S Vashishth, K Haribabu
Proceedings of the Symposium on SDN Research, 187-188, 2017
12017
MedType: Improving Medical Entity Linking with Semantic Type Prediction
S Vashishth, R Joshi, R Dutt, D Newman-Griffis, C Rose
arXiv preprint arXiv:2005.00460, 2020
2020
Graph-based Deep Learning in Natural Language Processing
S Vashishth, N Yadati, P Talukdar
Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 371-372, 2020
2020
Neural Graph Embedding Methods for Natural Language Processing
S Vashishth
PhD Thesis IISc, 2019
2019
Neural Graph Embedding Methods for NLP
S Vashishth
2019
Timestamping Documents using GCNs
S Vashishth, SS Dasgupta, SN Ray, P Talukdar
2018
Improving Distantly-Supervised Neural Relation Extraction using Side Information
S Vashishth, R Joshi, SS Prayaga, C Bhattacharyya, P Talukdar
2018
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