Embedding Convolutions for Short Text Extreme Classification with Millions of Labels. - Siddhant Kharbanda; Atmadeep Banerjee; Akash Palrecha; Rohit Babbar (CoRR, 2021)

YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset. - Donglai Wei 001; Siddhant Kharbanda; Sarthak Arora; Roshan Roy; Nishant Jain; Akash Palrecha; Tanav Shah; Shray Mathur; Ritik Mathur; Abhijay Kemkar; Anirudh Srinivasan Chakravarthy; Zudi Lin; et al. (CVPR, 2022)

CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification. - Siddhant Kharbanda; Atmadeep Banerjee; Erik Schultheis; Rohit Babbar (NeurIPS, 2022)

CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation. - Devaansh Gupta; Siddhant Kharbanda; Jiawei Zhou; Wanhua Li 001; Hanspeter Pfister; Donglai Wei 001 (ICCV, 2023)

InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification. - Siddhant Kharbanda; Atmadeep Banerjee; Devaansh Gupta; Akash Palrecha; Rohit Babbar (SIGIR, 2023)

Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features. - Siddhant Kharbanda; Devaansh Gupta; Erik Schultheis; Atmadeep Banerjee; Cho-Jui Hsieh; Rohit Babbar (KDD, 2024)

UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification. - Siddhant Kharbanda; Devaansh Gupta; Gururaj K; Pankaj Malhotra; Cho-Jui Hsieh; Rohit Babbar (CoRR, 2024)

Learning label-label correlations in Extreme Multi-label Classification via Label Features. - Siddhant Kharbanda; Devaansh Gupta; Erik Schultheis; Atmadeep Banerjee; Cho-Jui Hsieh; Rohit Babbar (CoRR, 2024)

Compute Efficient Extreme Multi-Label Classification - Siddhant Kharbanda (2024)

UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification. - Siddhant Kharbanda; Devaansh Gupta; Gururaj K; Pankaj Malhotra; Amit Singh 003; Cho-Jui Hsieh; Rohit Babbar (WWW, 2025)

Mercury: Ultra-Fast Language Models Based on Diffusion. - Samar Khanna; Siddhant Kharbanda; Shufan Li; Harshit Varma; Eric Wang; Sawyer Birnbaum; Ziyang Luo; Yanis Miraoui; Akash Palrecha; Stefano Ermon; Aditya Grover; Volodymyr Kuleshov (CoRR, 2025)