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Shikhar Vashishth
Shikhar Vashishth
Research Scientist, Google DeepMind
google.com üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
11542020
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
4282020
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
3052018
Attention interpretability across nlp tasks
S Vashishth, S Upadhyay, GS Tomar, M Faruqui
arXiv preprint arXiv:1909.11218, 2019
2302019
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
1952020
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
1382019
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
1252018
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
662018
MedType: Improving Medical Entity Linking with Semantic Type Prediction
S Vashishth, R Joshi, R Dutt, D Newman-Griffis, C Rose
AMIA Annual Symposium, 2020
56*2020
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
532019
Knowledge-rich self-supervision for biomedical entity linking
S Zhang, H Cheng, S Vashishth, C Wong, J Xiao, X Liu, T Naumann, ...
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
402022
Llm augmented llms: Expanding capabilities through composition
R Bansal, B Samanta, S Dalmia, N Gupta, S Vashishth, S Ganapathy, ...
ICLR 2024, 2024
392024
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
R Joshi, V Balachandran, S Vashishth, A Black, Y Tsvetkov
Proceedings of International Conference on Learning Representations 2021 (ICLR), 2021
382021
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
J Lovelace, D Newman-Griffis, S Vashishth, JF Lehman, CP Rosé
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
292021
Graph-based Deep Learning in Natural Language Processing
S Vashishth, N Yadati, P Talukdar
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
272020
Self-Influence Guided Data Reweighting for Language Model Pre-training
M Thakkar, T Bolukbasi, S Ganapathy, S Vashishth, S Chandar, ...
EMNLP 2023, 2023
182023
Lovasz Convolutional Networks
P Yadav, M Nimishakavi, N Yadati, A Rajkumar, P Talukdar
Proceedings of the International Conference on Artificial Intelligence and …, 2019
162019
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
162016
Neural Graph Embedding Methods for Natural Language Processing
S Vashishth
PhD Thesis IISc, 2019
132019
Real time monitoring of packet loss in software defined networks
Y Sinha, S Vashishth, K Haribabu
Ubiquitous Communications and Network Computing: First International …, 2018
132018
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