Vidit Jain

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 13

Top Topics

Hierarchical Text Classification

Rapidly Evolving

Classification Models

Top Venues

Proc. VLDB Endow.

Publications

Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction. ICLR (2024)
Vidit Jain, Mukund Rungta, Yuchen Zhuang, Yue Yu, Zeyu Wang, Mu Gao, Jeffrey Skolnick, Chao Zhang
HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification. EACL (1) (2024)
Vidit Jain, Mukund Rungta, Yuchen Zhuang, Yue Yu, Zeyu Wang, Mu Gao, Jeffrey Skolnick, Chao Zhang
HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification. CoRR (2024)
Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma
Renee: End-To-End Training of Extreme Classification Models. MLSys (2023)
Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. WSDM (2023)
Vidit Jain, Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Yashvardhan Sharma
AENeT: an attention-enabled neural architecture for fake news detection using contextual features. Neural Comput. Appl. 34 (1) (2022)
Yatin Nandwani, Vidit Jain, Mausam, Parag Singla
Neural Models for Output-Space Invariance in Combinatorial Problems. ICLR (2022)
Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. CoRR (2022)
Yatin Nandwani, Vidit Jain, Mausam, Parag Singla
Neural Models for Output-Space Invariance in Combinatorial Problems. CoRR (2022)
Vidit Jain, Maitree Leekha, Rajiv Ratn Shah, Jainendra Shukla
Exploring Semi-Supervised Learning for Predicting Listener Backchannels. CHI (2021)
Vidit Jain, Maitree Leekha, Rajiv Ratn Shah, Jainendra Shukla
Exploring Semi-Supervised Learning for Predicting Listener Backchannels. CoRR (2021)
Aanchal Mongia, Vidit Jain, Angshul Majumdar
Deep Matrix Factorization on Graphs: Application to Collaborative Filtering. ICONIP (4) (2020)
Aanchal Mongia, Vidit Jain, Émilie Chouzenoux, Angshul Majumdar
Deep Latent Factor Model for Predicting Drug Target Interactions. ICASSP (2019)
Sainyam Galhotra, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath, Vidit Jain
Tracking the Conductance of Rapidly Evolving Topic-Subgraphs. Proc. VLDB Endow. 8 (13) (2015)
Vidit Jain, Sainyam Galhotra
Min-d-Occur: Ensuring Future Occurrences in Streaming Sets. UAI (2014)
Vidit Jain, Jay Mahadeokar
Short-text representation using diffusion wavelets. WWW (Companion Volume) (2014)
Vidit Jain, Esther Galbrun
Topical organization of user comments and application to content recommendation. WWW (Companion Volume) (2013)
Vidit Jain, Sachin Sudhakar Farfade
Adapting Classification Cascades to New Domains. ICCV (2013)
Vidit Jain, Erik G. Learned-Miller
Online domain adaptation of a pre-trained cascade of classifiers. CVPR (2011)
Vidit Jain, Manik Varma
Learning to re-rank: query-dependent image re-ranking using click data. WWW (2011)
Vidit Jain, Amit Singhal, Jiebo Luo
Selective hidden random fields: Exploiting domain-specific saliency for event classification. CVPR (2008)
Gary B. Huang, Vidit Jain, Erik G. Learned-Miller
Unsupervised Joint Alignment of Complex Images. ICCV (2007)
Vidit Jain, Erik G. Learned-Miller, Andrew McCallum
People-LDA: Anchoring Topics to People using Face Recognition. ICCV (2007)
Vidit Jain, Andras Ferencz, Erik G. Learned-Miller
Discriminative Training of Hyper-feature Models for Object Identification. BMVC (2006)
Erik G. Learned-Miller, Vidit Jain
Many Heads Are Better Than One: Jointly Removing Bias from Multiple MRIs Using Nonparametric Maximum Likelihood. IPMI (2005)
Marghoob Mohiyuddin, Vidit Jain, Phalguni Gupta
Parallel Bi-dimensional Pattern Matching with Scaling. IASTED PDCS (2002)