Vidit Jain - RankMe

26 papers A* 9A 3Misc 1Journal 6Unranked 7

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