ÆÈ·Î¿ì
Shikhar Vashishth
Á¦¸ñ
Àοë
Àοë
¿¬µµ
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
6912020
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
2992020
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
2592018
Attention interpretability across nlp tasks
S Vashishth, S Upadhyay, GS Tomar, M Faruqui
arXiv preprint arXiv:1909.11218, 2019
1712019
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
1512020
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
1132019
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
1022018
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
602018
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
412019
MedType: Improving Medical Entity Linking with Semantic Type Prediction
S Vashishth, R Joshi, R Dutt, D Newman-Griffis, C Rose
AMIA Annual Symposium, 2020
40*2020
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
282022
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
272021
Graph-based Deep Learning in Natural Language Processing
S Vashishth, N Yadati, P Talukdar
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
232020
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
162021
Lovasz Convolutional Networks
P Yadav, M Nimishakavi, N Yadati, A Rajkumar, P Talukdar
Proceedings of the International Conference on Artificial Intelligence and ¡¦, 2019
132019
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
132016
Real time monitoring of packet loss in software defined networks
Y Sinha, S Vashishth, K Haribabu
Ubiquitous Communications and Network Computing: First International ¡¦, 2018
112018
Neural Graph Embedding Methods for Natural Language Processing
S Vashishth
PhD Thesis IISc, 2019
102019
MedFilter: Extracting Task-relevant Utterances from Medical Dialogue through Integration of Discourse Structure and Ontological Knowledge
S Khosla, S Vashishth, JF Lehman, C Rose
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
7*2020
Label Aware Speech Representation Learning For Language Identification
S Vashishth, S Bharadwaj, S Ganapathy, A Bapna, M Ma, W Han, ...
Proceedings of Interspeech 2023, 2023
22023
ÇöÀç ½Ã½ºÅÛÀÌ ÀÛµ¿µÇÁö ¾Ê½À´Ï´Ù. ³ªÁß¿¡ ´Ù½Ã ½ÃµµÇØ ÁÖ¼¼¿ä.
ÇмúÀÚ·á 1–20