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Saxena, A and Chakrabarti, S and Talukdar, P (2021) Question answering over temporal knowledge graphs. In: Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021, 1 August - 6 August 2021, Virtual, Online, pp. 6663-6676.
Yadati, N and Gao, T and Asoodeh, S and Talukdar, P and Louis, A (2021) Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. In: 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 11-14 May 2021, pp. 447-458.
Dasgupta, SS and Ray, SN and Talukdar, P (2020) Hyte: Hyperplane-based temporally aware knowledge graph embedding. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 31 Oct-4 Nov 2018, Brussels, Belgium, pp. 2001-2011.
Kumar, S and Jat, S and Saxena, K and Talukdar, P (2020) Zero-shot word sense disambiguation using sense definition embeddings. In: ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, 28 July - 2 August 2019, Florence, pp. 5670-5681.
Jat, S and Tang, H and Talukdar, P and Mitchel, T (2020) Relating simple sentence representations in deep neural networks and the brain. In: 57th Annual Meeting of the Association for Computational Linguistics, ACL 2019, 28 July-2 August 2019, Florence; Italy, pp. 5137-5154.
Ranjan, E and Sanyal, S and Talukdar, P (2020) ASAP: Adaptive structure aware pooling for learning hierarchical graph representations. In: AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, 7 - 12 February 2020, New York, pp. 5470-5477.
Gupta, V and Saw, A and Nokhiz, P and Netrapalli, P and Rai, P and Talukdar, P (2020) P-SIF: Document embeddings using partition averaging. In: AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, 7- 12 February 2020, New York, pp. 7863-7870.
Gupta, S and Kenkre, S and Talukdar, P (2020) Care: Open knowledge graph embeddings. In: 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, 3-7 November 2019, Hong Kong; China, pp. 378-388.
Yadati, N and Nitin, V and Nimishakavi, M and Yadav, P and Louis, A and Talukdar, P (2020) NHP: Neural Hypergraph Link Prediction. In: 29th ACM International Conference on Information and Knowledge Management, 19-23 oct 2020, Virtual, Online, pp. 1705-1714.
Kumar, S and Sreenivasan, V and Talukdar, P and Pestilli, F and Sridharan, D (2019) ReAl-life: Accelerating the discovery of individualized brain connectomes on GPUs. In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, 27 January 2019through 1 February 2019, Honolulu, pp. 630-638.
Yadati, N and Yadav, P and Louis, A and Nimishakavi, M and Nitin, V and Talukdar, P (2019) HyperGCN: A new method of training graph convolutional networks on hypergraphs. In: 33rd Annual Conference on Neural Information Processing Systems, NeurIPS 2019, 8 - 14 December 2019, Vancouver.
Kumar, A and Bhattamishra, S and Bhandari, M and Talukdar, P (2019) Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation. In: 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019, 2-7 June 2019, Minneapolis; United States, pp. 3609-3619.
Ray, SN and Dasgupta, SS and Talukdar, P (2018) Ad3: Attentive deep document dater. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 31st October- 4th November 2018, Brussels, Belgium, pp. 1871-1880.
Sharma, A and Parekh, Z and Talukdar, P (2017) Speeding up reinforcement learning-based information extraction training using asynchronous methods. In: 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, 9 - 11 September 2017, Copenhagen, pp. 2658-2663.
Sreenivasan, V and Kumar, S and Pestilli, F and Talukdar, P and Sridharan, D (2022) GPU-accelerated connectome discovery at scale. In: Nature Computational Science, 2 (5). pp. 298-306.
Kumar, A and Ahuja, K and Vadapalli, R and Talukdar, P (2020) Syntax-guided controlled generation of paraphrases. In: Transactions of the Association for Computational Linguistics, 8 . pp. 330-345.
Mitchell, T and Cohen, W and Hruschka, E and Talukdar, P and Yang, B and Betteridge, J and Carlson, A and Dalvi, B and Gardner, M and Kisiel, B and Krishnamurthy, J and Lao, N and Mazaitis, K and Mohamed, T and Nakashole, N and Platanios, E and Ritter, A and Samadi, M and Settles, B and Wang, R and Wijaya, D and Gupta, A and Chen, X and Saparov, A and Greaves, M and Welling, J (2018) Never-Ending Learning. In: COMMUNICATIONS OF THE ACM, 61 (5). pp. 103-115.
