Adit Krishnan

According to our database, Adit Krishnan authored at least 22 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations.

Samraj Moorjani, Adit Krishnan, Hari Sundaram

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems.

Junting Wang, Adit Krishnan, Hari Sundaram, Yunzhe Li

CoRR, 2023

2022

Self-supervised role learning for graph neural networks.

Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram

Knowl. Inf. Syst., 2022

Multi-task Knowledge Graph Representations via Residual Functions.

Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Audience-Centric Natural Language Generation via Style Infusion.

Samraj Moorjani, Adit Krishnan, Hari Sundaram, Ewa Maslowska, Aravind Sankar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Neural recommender models for sparse and skewed behavioral data

Adit Krishnan

PhD thesis, 2021

Ranking User-Generated Content via Multi-Relational Graph Convolution.

Kanika Narang, Adit Krishnan, Junting Wang, Chaoqi Yang, Hari Sundaram, Carolyn Sutter

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation.

Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks.

Yuxin Xiao, Adit Krishnan, Hari Sundaram

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction.

Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation.

Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework.

Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms.

Kanika Narang, Chaoqi Yang, Adit Krishnan, Junting Wang, Hari Sundaram, Carolyn Sutter

CoRR, 2019

RASE: Relationship Aware Social Embedding.

Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang

Proceedings of the International Joint Conference on Neural Networks, 2019

A Modular Adversarial Approach to Social Recommendation.

Adit Krishnan, Hari Cheruvu, Tao Cheng, Hari Sundaram

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Leveraging semantic resources in diversified query expansion.

Adit Krishnan, Deepak P, Sayan Ranu, Sameep Mehta

World Wide Web, 2018

An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering.

Adit Krishnan, Ashish Sharma, Aravind Sankar, Hari Sundaram

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Insights from the Long-Tail: Learning Latent Representations of Online User Behavior in the Presence of Skew and Sparsity.

Adit Krishnan, Ashish Sharma, Hari Sundaram

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Improving Latent User Models in Online Social Media.

Adit Krishnan, Ashish Sharma, Hari Sundaram

CoRR, 2017

Unsupervised Concept Categorization and Extraction from Scientific Document Titles.

Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Select, Link and Rank: Diversified Query Expansion and Entity Ranking Using Wikipedia.

Adit Krishnan, Deepak Padmanabhan, Sayan Ranu, Sameep Mehta

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

2015

Improving Marketing Interactions by Mining Sequences.

Ritwik Sinha, Sanket Mehta, Tapan Bohra, Adit Krishnan

Proceedings of the Web Information Systems Engineering - WISE 2015, 2015