CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification

29 October 2022

Papers citing "CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification"

8 / 8 papers shown

Title
Navigating Extremes: Dynamic Sparsity in Large Output Spaces Nasib Ullah Erik Schultheis Mike Lasby Yani Andrew Ioannou Rohit Babbar 28 0 0 05 Nov 2024
UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification Siddhant Kharbanda Devaansh Gupta K. Gururaj Pankaj Malhotra Cho-Jui Hsieh Rohit Babbar Rohit Babbar 31 0 0 04 May 2024
Graph Regularized Encoder Training for Extreme Classification Anshul Mittal Shikhar Mohan Deepak Saini Suchith C. Prabhu Jain jiao ... Manik Varma Sumeet Agarwal Soumen Chakrabarti Purushottam Kar Manik Varma GNN 26 0 0 28 Feb 2024
Generalized test utilities for long-tail performance in extreme multi-label classification Erik Schultheis Marek Wydmuch Wojciech Kotlowski Rohit Babbar Krzysztof Dembczyñski ELM 19 3 0 09 Nov 2023
Towards Memory-Efficient Training for Extremely Large Output Spaces -- Learning with 500k Labels on a Single Commodity GPU Erik Schultheis Rohit Babbar 11 4 0 06 Jun 2023
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification Ting Jiang Deqing Wang Leilei Sun Huayi Yang Zhengyang Zhao Fuzhen Zhuang VLM 105 136 0 09 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 238 13,283 0 25 Aug 2014