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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
ArXivPDFHTML

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

50 / 52 papers shown
Title
From Haystack to Needle: Label Space Reduction for Zero-shot Classification
From Haystack to Needle: Label Space Reduction for Zero-shot Classification
Nathan Vandemoortele
Bram Steenwinckel
F. Ongenae
Sofie Van Hoecke
VLM
80
0
0
12 Feb 2025
Batch Selection for Multi-Label Classification Guided by Uncertainty and
  Dynamic Label Correlations
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations
Ao Zhou
Bin Liu
Jin Wang
Grigorios Tsoumakas
UQCV
77
0
0
21 Dec 2024
Multi-Head Encoding for Extreme Label Classification
Multi-Head Encoding for Extreme Label Classification
Daojun Liang
Haixia Zhang
Dongfeng Yuan
Minggao Zhang
73
0
0
13 Dec 2024
Labels in Extremes: How Well Calibrated are Extreme Multi-label
  Classifiers?
Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?
Nasib Ullah
Erik Schultheis
Jinbin Zhang
Rohit Babbar
26
0
0
06 Nov 2024
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
35
0
0
05 Nov 2024
Prototypical Extreme Multi-label Classification with a Dynamic Margin
  Loss
Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss
Kunal Dahiya
Diego Ortego
David Jiménez
23
0
0
27 Oct 2024
Text Classification using Graph Convolutional Networks: A Comprehensive
  Survey
Text Classification using Graph Convolutional Networks: A Comprehensive Survey
Syed Mustafa Haider Rizvi
Ramsha Imran
Arif Mahmood
GNN
OOD
FaML
23
0
0
12 Oct 2024
ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers
ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers
Sonu Mehta
Jayashree Mohan
Nagarajan Natarajan
Ramachandran Ramjee
Manik Varma
23
0
0
30 Sep 2024
Multi-label Learning with Random Circular Vectors
Multi-label Learning with Random Circular Vectors
Ken Nishida
Kojiro Machi
Kazuma Onishi
Katsuhiko Hayashi
Hidetaka Kamigaito
47
0
0
08 Jul 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
33
0
0
18 Jun 2024
Retrieval-Augmented Language Model for Extreme Multi-Label Knowledge
  Graph Link Prediction
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
50
1
0
21 May 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
41
0
0
04 May 2024
Noise Contrastive Estimation-based Matching Framework for Low-Resource
  Security Attack Pattern Recognition
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition
Tu Nguyen
Nedim Srndic
Alexander Neth
AAML
39
3
0
18 Jan 2024
Revisiting the Role of Label Smoothing in Enhanced Text Sentiment
  Classification
Revisiting the Role of Label Smoothing in Enhanced Text Sentiment Classification
Yijie Gao
Shijing Si
Hua Luo
Haixia Sun
Yugui Zhang
13
0
0
11 Dec 2023
ICXML: An In-Context Learning Framework for Zero-Shot Extreme
  Multi-Label Classification
ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification
Yaxin Zhu
Hamed Zamani
43
3
0
16 Nov 2023
Generalized test utilities for long-tail performance in extreme
  multi-label classification
Generalized test utilities for long-tail performance in extreme multi-label classification
Erik Schultheis
Marek Wydmuch
Wojciech Kotlowski
Rohit Babbar
Krzysztof Dembczyñski
ELM
21
3
0
09 Nov 2023
Dual-Encoders for Extreme Multi-Label Classification
Dual-Encoders for Extreme Multi-Label Classification
Nilesh Gupta
Devvrit Khatri
A. S. Rawat
Srinadh Bhojanapalli
Prateek Jain
Inderjit Dhillon
VLM
40
3
0
16 Oct 2023
Multi-modal Extreme Classification
Multi-modal Extreme Classification
Anshul Mittal
Kunal Dahiya
Shreya Malani
Janani Ramaswamy
Seba Kuruvilla
Jitendra Ajmera
Keng-hao Chang
Sumeet Agarwal
Purushottam Kar
Manik Varma
26
8
0
10 Sep 2023
MatchXML: An Efficient Text-label Matching Framework for Extreme
  Multi-label Text Classification
MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification
Hui Ye
Rajshekhar Sunderraman
Shihao Ji
34
3
0
25 Aug 2023
DiVa: An Iterative Framework to Harvest More Diverse and Valid Labels
  from User Comments for Music
DiVa: An Iterative Framework to Harvest More Diverse and Valid Labels from User Comments for Music
Hongru Liang
Jingyao Liu
Yuanxin Xiang
Jiachen Du
Lanjun Zhou
Shushen Pan
Wenqiang Lei Sichuan University
28
0
0
09 Aug 2023
Identifying Vulnerable Third-Party Java Libraries from Textual
  Descriptions of Vulnerabilities and Libraries
Identifying Vulnerable Third-Party Java Libraries from Textual Descriptions of Vulnerabilities and Libraries
Tianyu Chen
Lin Li
Bingjie Shan
Guangtai Liang
Ding Li
Qianxiang Wang
Tao Xie
26
3
0
17 Jul 2023
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling
  for Point Cloud Classification
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification
Abihith Kothapalli
Ashkan Shahbazi
Xinran Liu
Robert Sheng
Soheil Kolouri
3DPC
19
2
0
08 Jun 2023
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
13
4
0
06 Jun 2023
Label Embedding via Low-Coherence Matrices
Label Embedding via Low-Coherence Matrices
Jianxin Zhang
Clayton Scott
11
0
0
31 May 2023
Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple
  Clustering Based Strategy
Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy
Na Li
Zied Bouraoui
Steven Schockaert
32
9
0
22 May 2023
PINA: Leveraging Side Information in eXtreme Multi-label Classification
  via Predicted Instance Neighborhood Aggregation
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
Eli Chien
Jiong Zhang
Cho-Jui Hsieh
Jyun-Yu Jiang
Wei-Cheng Chang
O. Milenkovic
Hsiang-Fu Yu
25
9
0
21 May 2023
Light-weight Deep Extreme Multilabel Classification
Light-weight Deep Extreme Multilabel Classification
Istasis Mishra
Arpan Dasgupta
Pratik Jawanpuria
Bamdev Mishra
Kiran Ravish
13
2
0
20 Apr 2023
Review of Extreme Multilabel Classification
Review of Extreme Multilabel Classification
Arpan Dasgupta
Preeti Lamba
Ankita Kushwaha
Kiran Ravish
Siddhant Katyan
Shrutimoy Das
Pawan Kumar
20
3
0
12 Feb 2023
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field
  Cross-Model Study
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study
Yu Zhang
Bowen Jin
Qi Zhu
Yu Meng
Jiawei Han
57
19
0
07 Feb 2023
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme
  Classification
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification
Pranjal Aggarwal
A. Deshpande
Karthik Narasimhan
AILaw
VLM
14
6
0
26 Jan 2023
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from
  Vulnerability Reports
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports
Yu-zeng Lyu
Thanh Le-Cong
Hong Jin Kang
Ratnadira Widyasari
Zhipeng Zhao
X. Le
Ming Li
David Lo
21
16
0
10 Jan 2023
Automated ICD Coding using Extreme Multi-label Long Text
  Transformer-based Models
Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models
Leibo Liu
O. Perez-Concha
Anthony N. Nguyen
Vicki Bennett
Louisa R Jorm
30
18
0
12 Dec 2022
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution
  Training in Extreme Multi-label Classification
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification
Siddhant Kharbanda
Atmadeep Banerjee
Erik Schultheis
Rohit Babbar
41
13
0
29 Oct 2022
OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for
  Extreme Multi-label Text Classification
OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification
Jie Cao
Yin Zhang
VLM
35
3
0
26 Oct 2022
Uncertainty in Extreme Multi-label Classification
Uncertainty in Extreme Multi-label Classification
Jyun-Yu Jiang
Wei-Cheng Chang
Jiong Zhong
Cho-Jui Hsieh
Hsiang-Fu Yu
UQCV
16
0
0
18 Oct 2022
ELIAS: End-to-End Learning to Index and Search in Large Output Spaces
ELIAS: End-to-End Learning to Index and Search in Large Output Spaces
Nilesh Gupta
Patrick H. Chen
Hsiang-Fu Yu
Cho-Jui Hsieh
Inderjit S Dhillon
23
15
0
16 Oct 2022
NGAME: Negative Mining-aware Mini-batching for Extreme Classification
NGAME: Negative Mining-aware Mini-batching for Extreme Classification
Kunal Dahiya
Nilesh Gupta
Deepak Saini
Akshay Soni
Yajun Wang
...
Sonu Mehta
Ramachandran Ramjee
Sumeet Agarwal
Purushottam Kar
Manik Varma
39
35
0
10 Jul 2022
Sparse and Dense Approaches for the Full-rank Retrieval of Responses for
  Dialogues
Sparse and Dense Approaches for the Full-rank Retrieval of Responses for Dialogues
Gustavo Penha
C. Hauff
RALM
30
0
0
22 Apr 2022
Long-tailed Extreme Multi-label Text Classification with Generated
  Pseudo Label Descriptions
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions
Ruohong Zhang
Yau-Shian Wang
Yiming Yang
Donghan Yu
Tom Vu
Li Lei
17
8
0
02 Apr 2022
Exploiting Local and Global Features in Transformer-based Extreme
  Multi-label Text Classification
Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification
Ruohong Zhang
Yau-Shian Wang
Yiming Yang
Tom Vu
Li Lei
28
2
0
02 Apr 2022
GUDN: A novel guide network with label reinforcement strategy for
  extreme multi-label text classification
GUDN: A novel guide network with label reinforcement strategy for extreme multi-label text classification
Qing Wang
Jia Zhu
Hongji Shu
K. Asamoah
J. Shi
Cong Zhou
22
4
0
10 Jan 2022
Adversarial Examples for Extreme Multilabel Text Classification
Adversarial Examples for Extreme Multilabel Text Classification
Mohammadreza Qaraei
Rohit Babbar
13
6
0
14 Dec 2021
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood
  Prediction
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
Eli Chien
Wei-Cheng Chang
Cho-Jui Hsieh
Hsiang-Fu Yu
Jiong Zhang
O. Milenkovic
Inderjit S Dhillon
154
130
0
29 Oct 2021
Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous
  Multi-GPU Servers
Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers
Yujing Ma
Florin Rusu
Kesheng Wu
A. Sim
38
3
0
13 Oct 2021
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label
  Text Classification
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
Jiong Zhang
Wei-Cheng Chang
Hsiang-Fu Yu
Inderjit S. Dhillon
13
99
0
01 Oct 2021
On Riemannian Approach for Constrained Optimization Model in Extreme
  Classification Problems
On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems
Jayadev Naram
Tanmay Sinha
Pawan Kumar
23
1
0
30 Sep 2021
InceptionXML: A Lightweight Framework with Synchronized Negative
  Sampling for Short Text Extreme Classification
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification
Siddhant Kharbanda
Atmadeep Banerjee
Devaansh Gupta
Akash Palrecha
Rohit Babbar
32
9
0
13 Sep 2021
Learning with Holographic Reduced Representations
Learning with Holographic Reduced Representations
Ashwinkumar Ganesan
Hang Gao
S. Gandhi
Edward Raff
Tim Oates
James Holt
Mark McLean
13
23
0
05 Sep 2021
A Survey on Deep Learning Event Extraction: Approaches and Applications
A Survey on Deep Learning Event Extraction: Approaches and Applications
Qian Li
Jianxin Li
Jiawei Sheng
Shiyao Cui
Jia Wu
...
Hao Peng
Shu Guo
Lihong Wang
Amin Beheshti
Philip S. Yu
37
45
0
05 Jul 2021
Extreme Multi-label Learning for Semantic Matching in Product Search
Extreme Multi-label Learning for Semantic Matching in Product Search
Wei-Cheng Chang
Daniel Jiang
Hsiang-Fu Yu
C. Teo
Jiong Zhang
...
Qie Hu
Nikhil Shandilya
Vyacheslav Ievgrafov
Japinder Singh
Inderjit S. Dhillon
42
59
0
23 Jun 2021
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