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LightXML: Transformer with Dynamic Negative Sampling for
  High-Performance Extreme Multi-label Text Classification

LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification

9 January 2021
Ting Jiang
Deqing Wang
Leilei Sun
Huayi Yang
Zhengyang Zhao
Fuzhen Zhuang
    VLM
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Papers citing "LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification"

4 / 4 papers shown
Title
Navigating Extremes: Dynamic Sparsity in Large Output Spaces
Navigating Extremes: Dynamic Sparsity in Large Output Spaces
Nasib Ullah
Erik Schultheis
Mike Lasby
Yani Andrew Ioannou
Rohit Babbar
23
0
0
05 Nov 2024
Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection
Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection
Yanyong Huang
Li Yang
Dongjie Wang
Ke Li
Xiuwen Yi
Fengmao Lv
Tianrui Li
16
0
0
18 Jun 2024
UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification
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
19
0
0
04 May 2024
Towards Memory-Efficient Training for Extremely Large Output Spaces --
  Learning with 500k Labels on a Single Commodity GPU
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
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