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ORCIDAdit Krishnan
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2020 – today
- 2024
[c17]Samraj Moorjani, Adit Krishnan, Hari Sundaram:
CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations. EACL (1) 2024: 1325-1340- [c16]Somin Wadhwa, Adit Krishnan, Runhui Wang, Byron C. Wallace, Luyang Kong:
Learning from Natural Language Explanations for Generalizable Entity Matching. EMNLP 2024: 6114-6129 - [i11]Samraj Moorjani, Adit Krishnan, Hari Sundaram:
CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations. CoRR abs/2402.14290 (2024) - [i10]Somin Wadhwa, Adit Krishnan, Runhui Wang, Byron C. Wallace, Chris Kong:
Learning from Natural Language Explanations for Generalizable Entity Matching. CoRR abs/2406.09330 (2024) - 2023
- [i9]Samraj Moorjani, Adit Krishnan, Hari Sundaram, Ewa Maslowska, Aravind Sankar:
Audience-Centric Natural Language Generation via Style Infusion. CoRR abs/2301.10283 (2023) - [i8]Junting Wang, Adit Krishnan, Hari Sundaram, Yunzhe Li:
Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems. CoRR abs/2309.01188 (2023) - 2022
- [j2]Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram:
Self-supervised role learning for graph neural networks. Knowl. Inf. Syst. 64(8): 2091-2121 (2022) - [c15]Samraj Moorjani, Adit Krishnan, Hari Sundaram, Ewa Maslowska, Aravind Sankar:
Audience-Centric Natural Language Generation via Style Infusion. EMNLP (Findings) 2022: 1919-1932 - [c14]Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram:
Multi-task Knowledge Graph Representations via Residual Functions. PAKDD (1) 2022: 262-275 - 2021
- [b1]Adit Krishnan:
Neural recommender models for sparse and skewed behavioral data. University of Illinois Urbana-Champaign, USA, 2021 - [c13]Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram:
ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation. RecSys 2021: 166-175 - [c12]Kanika Narang
, Adit Krishnan, Junting Wang, Chaoqi Yang, Hari Sundaram, Carolyn Sutter:
Ranking User-Generated Content via Multi-Relational Graph Convolution. SIGIR 2021: 470-480 - 2020
- [c11]Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram:
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. ICDM 2020: 472-481 - [c10]Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram:
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. SIGIR 2020: 1081-1090 - [c9]Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han:
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. WSDM 2020: 510-518 - [c8]Yuxin Xiao, Adit Krishnan, Hari Sundaram:
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks. WWW 2020: 2078-2088 - [i7]Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han:
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. CoRR abs/2001.00132 (2020) - [i6]Yuxin Xiao, Adit Krishnan, Hari Sundaram:
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks. CoRR abs/2003.03670 (2020) - [i5]Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram:
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. CoRR abs/2005.10473 (2020) - [i4]Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram:
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. CoRR abs/2009.05197 (2020)
2010 – 2019
- 2019
- [c7]Adit Krishnan, Hari Cheruvu, Tao Cheng, Hari Sundaram:
A Modular Adversarial Approach to Social Recommendation. CIKM 2019: 1753-1762 - [c6]Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang:
RASE: Relationship Aware Social Embedding. IJCNN 2019: 1-8 - [i3]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 abs/1911.06957 (2019) - 2018
- [j1]Adit Krishnan, Deepak P, Sayan Ranu, Sameep Mehta:
Leveraging semantic resources in diversified query expansion. World Wide Web 21(4): 1041-1067 (2018) - [c5]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: 297-306 - [c4]Adit Krishnan, Ashish Sharma, Aravind Sankar, Hari Sundaram:
An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering. CIKM 2018: 1491-1494 - 2017
- [c3]Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han:
Unsupervised Concept Categorization and Extraction from Scientific Document Titles. CIKM 2017: 1339-1348 - [i2]Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han:
Unsupervised Concept Categorization and Extraction from Scientific Document Titles. CoRR abs/1710.02271 (2017) - [i1]Adit Krishnan, Ashish Sharma, Hari Sundaram:
Improving Latent User Models in Online Social Media. CoRR abs/1711.11124 (2017) - 2016
- [c2]Adit Krishnan, Deepak Padmanabhan, Sayan Ranu, Sameep Mehta:
Select, Link and Rank: Diversified Query Expansion and Entity Ranking Using Wikipedia. WISE (1) 2016: 157-173 - 2015
- [c1]Ritwik Sinha, Sanket Mehta, Tapan Bohra, Adit Krishnan:
Improving Marketing Interactions by Mining Sequences. WISE (1) 2015: 277-292
Coauthor Index
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