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 | 897 | 2020 |
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 | 359 | 2020 |
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 | 289 | 2018 |
Attention interpretability across nlp tasks S Vashishth, S Upadhyay, GS Tomar, M Faruqui arXiv preprint arXiv:1909.11218, 2019 | 194 | 2019 |
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 | 172 | 2020 |
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 | 126 | 2019 |
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 | 112 | 2018 |
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 | 64 | 2018 |
MedType: Improving Medical Entity Linking with Semantic Type Prediction S Vashishth, R Joshi, R Dutt, D Newman-Griffis, C Rose AMIA Annual Symposium, 2020 | 46* | 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 | 46 | 2019 |
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 | 30 | 2021 |
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 | 28 | 2022 |
Graph-based Deep Learning in Natural Language Processing S Vashishth, N Yadati, P Talukdar Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 | 25 | 2020 |
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 | 22 | 2021 |
Llm augmented llms: Expanding capabilities through composition R Bansal, B Samanta, S Dalmia, N Gupta, S Vashishth, S Ganapathy, ... ICLR 2024, 2024 | 17 | 2024 |
Lovasz Convolutional Networks P Yadav, M Nimishakavi, N Yadati, A Rajkumar, P Talukdar Proceedings of the International Conference on Artificial Intelligence and …, 2019 | 15 | 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 | 14 | 2016 |
Real time monitoring of packet loss in software defined networks Y Sinha, S Vashishth, K Haribabu Ubiquitous Communications and Network Computing: First International …, 2018 | 12 | 2018 |
Neural Graph Embedding Methods for Natural Language Processing S Vashishth PhD Thesis IISc, 2019 | 11 | 2019 |
Self-Influence Guided Data Reweighting for Language Model Pre-training M Thakkar, T Bolukbasi, S Ganapathy, S Vashishth, S Chandar, ... EMNLP 2023, 2023 | 9 | 2023 |