MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification

25 August 2023

Papers citing "MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification"

5 / 5 papers shown

Title
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification Siddhant Kharbanda Atmadeep Banerjee Erik Schultheis Rohit Babbar 33 13 0 29 Oct 2022
NGAME: Negative Mining-aware Mini-batching for Extreme Classification Kunal Dahiya Nilesh Gupta Deepak Saini Akshay Soni Yajun Wang ... Sonu Mehta R. Ramjee Sumeet Agarwal Purushottam Kar Manik Varma 29 35 0 10 Jul 2022
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 110 136 0 09 Jan 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,150 0 16 Jan 2013