Adit Krishnan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Natural Language

Regularization Framework

Online Social Media

Collaborative Filtering

Top Venues

Publications

Somin Wadhwa, Adit Krishnan, Runhui Wang, Byron C. Wallace, Chris Kong
Learning from Natural Language Explanations for Generalizable Entity Matching. CoRR (2024)
Samraj Moorjani, Adit Krishnan, Hari Sundaram
CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations. EACL (1) (2024)
Samraj Moorjani, Adit Krishnan, Hari Sundaram
CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations. CoRR (2024)
Samraj Moorjani, Adit Krishnan, Hari Sundaram, Ewa Maslowska, Aravind Sankar
Audience-Centric Natural Language Generation via Style Infusion. CoRR (2023)
Junting Wang, Adit Krishnan, Hari Sundaram, Yunzhe Li
Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems. CoRR (2023)
Samraj Moorjani, Adit Krishnan, Hari Sundaram, Ewa Maslowska, Aravind Sankar
Audience-Centric Natural Language Generation via Style Infusion. EMNLP (Findings) (2022)
Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram
Multi-task Knowledge Graph Representations via Residual Functions. PAKDD (1) (2022)
Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram
Self-supervised role learning for graph neural networks. Knowl. Inf. Syst. 64 (8) (2022)
Kanika Narang, Adit Krishnan, Junting Wang, Chaoqi Yang, Hari Sundaram, Carolyn Sutter
Ranking User-Generated Content via Multi-Relational Graph Convolution. SIGIR (2021)
Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram
ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation. RecSys (2021)
Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. SIGIR (2020)
Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. CoRR (2020)
Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. CoRR (2020)
Yuxin Xiao, Adit Krishnan, Hari Sundaram
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks. WWW (2020)
Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. ICDM (2020)
Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. CoRR (2020)
Yuxin Xiao, Adit Krishnan, Hari Sundaram
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks. CoRR (2020)
Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. WSDM (2020)
Kanika Narang, Chaoqi Yang, Adit Krishnan, Junting Wang, Hari Sundaram, Carolyn Sutter
An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms. CoRR (2019)
Adit Krishnan, Hari Cheruvu, Tao Cheng, Hari Sundaram
A Modular Adversarial Approach to Social Recommendation. CIKM (2019)
Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang
RASE: Relationship Aware Social Embedding. IJCNN (2019)
Adit Krishnan, Ashish Sharma, Aravind Sankar, Hari Sundaram
An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering. CIKM (2018)
Adit Krishnan, Deepak P, Sayan Ranu, Sameep Mehta
Leveraging semantic resources in diversified query expansion. World Wide Web 21 (4) (2018)
Adit Krishnan, Ashish Sharma, Hari Sundaram
Insights from the Long-Tail: Learning Latent Representations of Online User Behavior in the Presence of Skew and Sparsity. CIKM (2018)
Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han
Unsupervised Concept Categorization and Extraction from Scientific Document Titles. CoRR (2017)
Adit Krishnan, Ashish Sharma, Hari Sundaram
Improving Latent User Models in Online Social Media. CoRR (2017)
Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han
Unsupervised Concept Categorization and Extraction from Scientific Document Titles. CIKM (2017)
Adit Krishnan, Deepak Padmanabhan, Sayan Ranu, Sameep Mehta
Select, Link and Rank: Diversified Query Expansion and Entity Ranking Using Wikipedia. WISE (1) (2016)
Ritwik Sinha, Sanket Mehta, Tapan Bohra, Adit Krishnan
Improving Marketing Interactions by Mining Sequences. WISE (1) (2015)