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Adit Krishnan
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An adversarial approach to improve long-tail performance in neural collaborative filtering
A Krishnan, A Sharma, A Sankar, H Sundaram
Proceedings of the 27th ACM International Conference on information and …, 2018
872018
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
A Sankar, X Zhang, A Krishnan, J Han
Proceedings of the 13th International Conference on Web Search and Data …, 2020
692020
Mahashweta Das, Mangesh Bendre, Hao Yang, and Hari Sundaram. 2020. Transfer learning via contextual invariants for one-to-many cross-domain recommendation
A Krishnan
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
392020
A modular adversarial approach to social recommendation
A Krishnan, H Cheruvu, C Tao, H Sundaram
Proceedings of the 28th ACM international conference on information and …, 2019
382019
Transfer learning via contextual invariants for one-to-many cross-domain recommendation
A Krishnan, M Das, M Bendre, H Yang, H Sundaram
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
312020
Leveraging semantic resources in diversified query expansion
A Krishnan, D P, S Ranu, S Mehta
World Wide Web 21, 1041-1067, 2018
292018
Protocf: Prototypical collaborative filtering for few-shot recommendation
A Sankar, J Wang, A Krishnan, H Sundaram
Proceedings of the 15th ACM Conference on Recommender Systems, 166-175, 2021
262021
Insights from the long-tail: Learning latent representations of online user behavior in the presence of skew and sparsity
A Krishnan, A Sharma, H Sundaram
Proceedings of the 27th ACM International Conference on Information and …, 2018
202018
Beyond localized graph neural networks: An attributed motif regularization framework
A Sankar, J Wang, A Krishnan, H Sundaram
2020 IEEE International Conference on Data Mining (ICDM), 472-481, 2020
182020
Unsupervised Concept Categorization and Extraction from Scientific Document Titles
A Krishnan, A Sankar, S Zhi, J Han
The 26th ACM International Conference on Information and Knowledge …, 2017
132017
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks
Y Xiao, A Krishnan, H Sundaram
The Web Conference 2020, 2020
102020
Rase: Relationship aware social embedding
A Sankar, A Krishnan, Z He, C Yang
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
102019
An induced multi-relational framework for answer selection in community question answer platforms
K Narang, C Yang, A Krishnan, J Wang, H Sundaram, C Sutter
arXiv preprint arXiv:1911.06957, 2019
92019
Select, link and rank: Diversified query expansion and entity ranking using wikipedia
A Krishnan, D Padmanabhan, S Ranu, S Mehta
Web Information Systems Engineering–WISE 2016: 17th International Conference …, 2016
82016
Improving latent user models in online social media
A Krishnan, A Sharma, H Sundaram
arXiv preprint arXiv:1711.11124, 2017
62017
Improving Marketing Interactions by Mining Sequences
AK Ritwik Sinha, Sanket Mehta, Tapan Bohra
Web Information Systems Engineering – WISE 2015 9418 (Lecture Notes in …, 2015
4*2015
Self-supervised role learning for graph neural networks
A Sankar, J Wang, A Krishnan, H Sundaram
Knowledge and Information Systems 64 (8), 2091-2121, 2022
32022
Multi-task knowledge graph representations via residual functions
A Krishnan, M Das, M Bendre, F Wang, H Yang, H Sundaram
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 262-275, 2022
32022
Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems
J Wang, A Krishnan, H Sundaram, Y Li
arXiv preprint arXiv:2309.01188, 2023
22023
Audience-Centric Natural Language Generation via Style Infusion
S Moorjani, A Krishnan, H Sundaram, E Maslowska, A Sankar
ACL EMNLP 2022, 2023
22023
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