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

9 January 2021

Papers citing "LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text 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 26 0 0 05 Nov 2024
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
Retrieval-Augmented Language Model for Extreme Multi-Label Knowledge Graph Link Prediction Yu-Hsiang Lin Huang-Ting Shieh Chih-Yu Liu Kuang-Ting Lee Hsiao-Cheng Chang Jing-Lun Yang Yu-Sheng Lin LRM KELM RALM 20 1 0 21 May 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 23 0 0 04 May 2024
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition Tu Nguyen Nedim Srndic Alexander Neth AAML 16 2 0 18 Jan 2024
ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification Yaxin Zhu Hamed Zamani 20 3 0 16 Nov 2023
Generalized test utilities for long-tail performance in extreme multi-label classification Erik Schultheis Marek Wydmuch Wojciech Kotlowski Rohit Babbar Krzysztof Dembczyñski ELM 6 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