| Cascadexml: Rethinking transformers for end-to-end multi-resolution training in extreme multi-label classification S Kharbanda, A Banerjee, E Schultheis, R Babbar Advances in neural information processing systems 35, 2074-2087, 2022 | 23 | 2022 |
| Inceptionxml: A lightweight framework with synchronized negative sampling for short text extreme classification S Kharbanda, A Banerjee, D Gupta, A Palrecha, R Babbar Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 11* | 2023 |
| CLIPTrans: transferring visual knowledge with pre-trained models for multimodal machine translation D Gupta, S Kharbanda, J Zhou, W Li, H Pfister, D Wei Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 4 | 2023 |
| Learning label-label correlations in Extreme Multi-label Classification via Label Features S Kharbanda, D Gupta, E Schultheis, A Banerjee, CJ Hsieh, R Babbar arXiv preprint arXiv:2405.04545, 2024 | 2* | 2024 |
| Youmvos: an actor-centric multi-shot video object segmentation dataset D Wei, S Kharbanda, S Arora, R Roy, N Jain, A Palrecha, T Shah, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 2 | 2022 |
| UniDEC: Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification S Kharbanda, D Gupta, P Malhotra, CJ Hsieh, R Babbar arXiv preprint arXiv:2405.03714, 2024 | 1 | 2024 |
| Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features S Kharbanda, D Gupta, E Schultheis, A Banerjee, CJ Hsieh, R Babbar Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation Supplementary Material D Gupta, S Kharbanda, J Zhou, W Li, H Pfister, D Wei | | |
Rohit BabbarUniversity of Bath, UK and Aalto University, Helsinki, Finland在 aalto.fi 的电子邮件经过验证
