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Large-scale Multi-label Text Classification - Revisiting Neural Networks
v1v2v3 (latest)

Large-scale Multi-label Text Classification - Revisiting Neural Networks

19 December 2013
Jinseok Nam
Jungi Kim
E. Mencía
Iryna Gurevych
Johannes Furnkranz
ArXiv (abs)PDFHTML

Papers citing "Large-scale Multi-label Text Classification - Revisiting Neural Networks"

49 / 49 papers shown
Title
How to disagree well: Investigating the dispute tactics used on
  Wikipedia
How to disagree well: Investigating the dispute tactics used on Wikipedia
Christine de Kock
Tom Stafford
Andreas Vlachos
82
9
0
16 Dec 2022
An Effective Approach for Multi-label Classification with Missing Labels
An Effective Approach for Multi-label Classification with Missing Labels
Xin Zhang
R. Abdelfattah
Yuqi Song
Xiang Wang
45
4
0
24 Oct 2022
Automated Clinical Coding: What, Why, and Where We Are?
Automated Clinical Coding: What, Why, and Where We Are?
Hang Dong
Matús Falis
W. Whiteley
Beatrice Alex
Joshua Matterson
Shaoxiong Ji
Jiaoyan Chen
Honghan Wu
92
70
0
21 Mar 2022
KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling
KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling
Xindi Wang
Robert E. Mercer
Frank Rudzicz
58
12
0
14 Mar 2022
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly
  Supervised Semantic Segmentation
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation
Kun Yuan
Gerald Schaefer
Yu-kun Lai
Yifan Wang
Xiyao Liu
Lin Guan
Hui Fang
45
1
0
18 Jan 2022
Tree-Based Dynamic Classifier Chains
Tree-Based Dynamic Classifier Chains
E. Mencía
Moritz Kulessa
Simon Bohlender
Johannes Furnkranz
58
5
0
13 Dec 2021
MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection
MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection
Rui Dai
Srijan Das
Kumara Kahatapitiya
Michael S. Ryoo
Francois Bremond
ViT
103
73
0
07 Dec 2021
Can multi-label classification networks know what they don't know?
Can multi-label classification networks know what they don't know?
Haoran Wang
Weitang Liu
Alex E. Bocchieri
Yixuan Li
OODD
161
127
0
29 Sep 2021
Unsupervised Domain Adaptation in Speech Recognition using Phonetic
  Features
Unsupervised Domain Adaptation in Speech Recognition using Phonetic Features
Rupam Ojha
C. Sekhar
19
0
0
04 Aug 2021
Multi-Label Learning from Single Positive Labels
Multi-Label Learning from Single Positive Labels
Elijah Cole
Oisin Mac Aodha
Titouan Lorieul
Pietro Perona
Dan Morris
Nebojsa Jojic
93
114
0
17 Jun 2021
Evaluating Multi-label Classifiers with Noisy Labels
Evaluating Multi-label Classifiers with Noisy Labels
Wenting Zhao
Carla P. Gomes
NoLa
123
14
0
16 Feb 2021
EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks
  for Internet of Vehicles
EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles
Shuai Yu
Xiaowen Gong
Qian Shi
Xiaofei Wang
Xu Chen
58
133
0
15 Jan 2021
FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets
FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets
Abu Quwsar Ohi
M. F. Mridha
Md. Abdul Hamid
M. Monowar
Faris A. Kateb
50
15
0
14 Jan 2021
The Emerging Trends of Multi-Label Learning
The Emerging Trends of Multi-Label Learning
Weiwei Liu
Haobo Wang
Xiaobo Shen
Ivor W. Tsang
102
270
0
23 Nov 2020
Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity
  Detection
Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection
Rui Dai
Srijan Das
Saurav Sharma
Luca Minciullo
Lorenzo Garattoni
Francois Bremond
Gianpiero Francesca
69
53
0
28 Oct 2020
Automatic Crack Detection on Road Pavements Using Encoder Decoder
  Architecture
Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture
Zhun Fan
Chong Li
Ying Chen
Jiahong Wei
G. Loprencipe
Xiaopeng Chen
P. D. Mascio
31
121
0
01 Jul 2020
Uncertainty in Neural Relational Inference Trajectory Reconstruction
Uncertainty in Neural Relational Inference Trajectory Reconstruction
Vasileios Karavias
Ben Day
Pietro Lio
16
0
0
24 Jun 2020
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains
Simon Bohlender
Simon
E. Mencía
Eneldo
Moritz Kulessa
Moritz
AI4CE
30
4
0
15 Jun 2020
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
Jonas Pfeiffer
Aishwarya Kamath
Andreas Rucklé
Kyunghyun Cho
Iryna Gurevych
CLLMoMe
188
860
0
01 May 2020
Multi-label Stream Classification with Self-Organizing Maps
Multi-label Stream Classification with Self-Organizing Maps
R. Cerri
Joel D. Costa Júnior
Elaine Ribeiro de Faria Paiva
João Gama
27
2
0
20 Apr 2020
Disassembling Object Representations without Labels
Disassembling Object Representations without Labels
Zunlei Feng
Xinchao Wang
Yongming He
Yike Yuan
Xin Gao
Xiuming Zhang
OCL
125
0
0
03 Apr 2020
Multi-Label Text Classification using Attention-based Graph Neural
  Network
Multi-Label Text Classification using Attention-based Graph Neural Network
Ankit Pal
M. Selvakumar
Malaikannan Sankarasubbu
100
80
0
22 Mar 2020
Ensemble of Deep Convolutional Neural Networks for Automatic Pavement
  Crack Detection and Measurement
Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement
Zhun Fan
Chong Li
Ying Chen
P. D. Mascio
Xiaopeng Chen
Guijie Zhu
G. Loprencipe
45
123
0
08 Feb 2020
Classifier Chains: A Review and Perspectives
Classifier Chains: A Review and Perspectives
Jesse Read
Bernhard Pfahringer
G. Holmes
E. Frank
90
94
0
26 Dec 2019
Multi-label Classification for Automatic Tag Prediction in the Context
  of Programming Challenges
Multi-label Classification for Automatic Tag Prediction in the Context of Programming Challenges
Bianca Iancu
Gabriele Mazzola
Kyriakos Psarakis
Panagiotis Soilis
14
5
0
27 Nov 2019
Multi-Label Learning with Deep Forest
Multi-Label Learning with Deep Forest
Liang Yang
Xi-Zhu Wu
Yuan Jiang
Zhi Zhou
69
52
0
15 Nov 2019
Constructing Artificial Data for Fine-tuning for Low-Resource Biomedical
  Text Tagging with Applications in PICO Annotation
Constructing Artificial Data for Fine-tuning for Low-Resource Biomedical Text Tagging with Applications in PICO Annotation
Gaurav Singh
Zahra Sabet
John Shawe-Taylor
James Thomas
35
7
0
21 Oct 2019
Learning Visual Actions Using Multiple Verb-Only Labels
Learning Visual Actions Using Multiple Verb-Only Labels
Michael Wray
Dima Damen
78
7
0
25 Jul 2019
Multi-label Classification with Optimal Thresholding for
  Multi-composition Spectroscopic Analysis
Multi-label Classification with Optimal Thresholding for Multi-composition Spectroscopic Analysis
Luyun Gan
Brosnan Yuen
Tao Lu
19
10
0
24 Jun 2019
Neural Message Passing for Multi-Label Classification
Neural Message Passing for Multi-Label Classification
Jack Lanchantin
Arshdeep Sekhon
Yanjun Qi
64
38
0
17 Apr 2019
Elucidating image-to-set prediction: An analysis of models, losses and
  datasets
Elucidating image-to-set prediction: An analysis of models, losses and datasets
Luis Villaseñor-Pineda
Amaia Salvador
M. Drozdzal
Adriana Romero
108
12
0
11 Apr 2019
Location reference identification from tweets during emergencies: A deep
  learning approach
Location reference identification from tweets during emergencies: A deep learning approach
Abhinav Kumar
J. Singh
72
127
0
24 Jan 2019
ML-Net: multi-label classification of biomedical texts with deep neural
  networks
ML-Net: multi-label classification of biomedical texts with deep neural networks
Jingcheng Du
Qingyu Chen
Yifan Peng
Yang Xiang
Cui Tao
Zhiyong Lu
124
139
0
13 Nov 2018
A Deep Reinforced Sequence-to-Set Model for Multi-Label Text
  Classification
A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification
Pengcheng Yang
Shuming Ma
Yanzhe Zhang
Junyang Lin
Qi Su
Xu Sun
VLM
69
7
0
10 Sep 2018
Semantic-Unit-Based Dilated Convolution for Multi-Label Text
  Classification
Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification
Junyang Lin
Qi Su
Pengcheng Yang
Shuming Ma
Xu Sun
VLM
68
60
0
26 Aug 2018
Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual
  Wiki Descriptions
Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions
Wei Li
Xuancheng Ren
Damai Dai
Yunfang Wu
Houfeng Wang
Xu Sun
3DV
55
20
0
16 Aug 2018
SGM: Sequence Generation Model for Multi-label Classification
SGM: Sequence Generation Model for Multi-label Classification
Pengcheng Yang
Xu Sun
Wei Li
Shuming Ma
Wei Wu
Houfeng Wang
84
386
0
13 Jun 2018
Towards an Unequivocal Representation of Actions
Towards an Unequivocal Representation of Actions
Michael Wray
Davide Moltisanti
Dima Damen
51
4
0
10 May 2018
Incorporating Word Embeddings into Open Directory Project based
  Large-scale Classification
Incorporating Word Embeddings into Open Directory Project based Large-scale Classification
Kang-Min Kim
Dinara Aliyeva
Byung-Ju Choi
SangKeun Lee
VLM
25
5
0
03 Apr 2018
Joint Binary Neural Network for Multi-label Learning with Applications
  to Emotion Classification
Joint Binary Neural Network for Multi-label Learning with Applications to Emotion Classification
Huihui He
Rui Xia
MQ
82
56
0
03 Feb 2018
Boosted Cascaded Convnets for Multilabel Classification of Thoracic
  Diseases in Chest Radiographs
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs
Pulkit Kumar
Monika Grewal
Muktabh Mayank Srivastava
57
113
0
23 Nov 2017
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
Chung-Wei Lee
Wei Fang
Chih-Kuan Yeh
Y. Wang
VLM
146
281
0
17 Nov 2017
Learning to Predict Charges for Criminal Cases with Legal Basis
Learning to Predict Charges for Criminal Cases with Legal Basis
Bingfeng Luo
Yansong Feng
Jianbo Xu
Xiang Zhang
Dongyan Zhao
AILaw
59
267
0
28 Jul 2017
Exploiting random projections and sparsity with random forests and
  gradient boosting methods -- Application to multi-label and multi-output
  learning, random forest model compression and leveraging input sparsity
Exploiting random projections and sparsity with random forests and gradient boosting methods -- Application to multi-label and multi-output learning, random forest model compression and leveraging input sparsity
Arnaud Joly
52
10
0
26 Apr 2017
Streaming Word Embeddings with the Space-Saving Algorithm
Streaming Word Embeddings with the Space-Saving Algorithm
Chandler May
Kevin Duh
Benjamin Van Durme
Ashwin Lall
33
12
0
24 Apr 2017
Improving Pairwise Ranking for Multi-label Image Classification
Improving Pairwise Ranking for Multi-label Image Classification
Y. Li
Yale Song
Jiebo Luo
106
204
0
11 Apr 2017
Topic Identification for Speech without ASR
Topic Identification for Speech without ASR
Chunxi Liu
J. Trmal
Sanjeev Khudanpur
Craig Harman
Sanjeev Khudanpur
BDL
68
20
0
22 Mar 2017
Multi-label Classification using Labels as Hidden Nodes
Multi-label Classification using Labels as Hidden Nodes
Jesse Read
Jaakko Hollmén
63
12
0
31 Mar 2015
Fast Multi-Instance Multi-Label Learning
Fast Multi-Instance Multi-Label Learning
Sheng-Jun Huang
Zhi Zhou
VLM
79
126
0
08 Oct 2013
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