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Siddhant Kharbanda
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2020 – today
- 2024
- [c5]Siddhant Kharbanda, Devaansh Gupta, Erik Schultheis, Atmadeep Banerjee, Cho-Jui Hsieh, Rohit Babbar:
Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features. KDD 2024: 1360-1371 - [i5]Siddhant Kharbanda, Devaansh Gupta, Gururaj K, Pankaj Malhotra, Cho-Jui Hsieh, Rohit Babbar:
UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification. CoRR abs/2405.03714 (2024) - [i4]Siddhant Kharbanda, Devaansh Gupta, Erik Schultheis, Atmadeep Banerjee, Cho-Jui Hsieh, Rohit Babbar:
Learning label-label correlations in Extreme Multi-label Classification via Label Features. CoRR abs/2405.04545 (2024) - 2023
- [c4]Devaansh Gupta, Siddhant Kharbanda, Jiawei Zhou, Wanhua Li, Hanspeter Pfister, Donglai Wei:
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation. ICCV 2023: 2863-2874 - [c3]Siddhant Kharbanda, Atmadeep Banerjee, Devaansh Gupta, Akash Palrecha, Rohit Babbar:
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification. SIGIR 2023: 760-769 - [i3]Devaansh Gupta, Siddhant Kharbanda, Jiawei Zhou, Wanhua Li, Hanspeter Pfister, Donglai Wei:
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation. CoRR abs/2308.15226 (2023) - 2022
- [c2]Donglai Wei, Siddhant Kharbanda, Sarthak Arora, Roshan Roy, Nishant Jain, Akash Palrecha, Tanav Shah, Shray Mathur, Ritik Mathur, Abhijay Kemkar, Anirudh Srinivasan Chakravarthy, Zudi Lin, Won-Dong Jang, Yansong Tang, Song Bai, James Tompkin, Philip H. S. Torr, Hanspeter Pfister:
YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset. CVPR 2022: 21012-21021 - [c1]Siddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis, Rohit Babbar:
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification. NeurIPS 2022 - [i2]Siddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis, Rohit Babbar:
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification. CoRR abs/2211.00640 (2022) - 2021
- [i1]Siddhant Kharbanda, Atmadeep Banerjee, Akash Palrecha, Rohit Babbar:
Embedding Convolutions for Short Text Extreme Classification with Millions of Labels. CoRR abs/2109.07319 (2021)
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last updated on 2024-09-10 02:11 CEST by the dblp team
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