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Learning from Multiple Noisy Partial Labelers

Learning from Multiple Noisy Partial Labelers

8 June 2021
Peilin Yu
Tiffany Ding
Stephen H. Bach
    NoLa
ArXivPDFHTML

Papers citing "Learning from Multiple Noisy Partial Labelers"

47 / 47 papers shown
Title
Self-Training with Weak Supervision
Self-Training with Weak Supervision
Giannis Karamanolakis
Subhabrata Mukherjee
Guoqing Zheng
Ahmed Hassan Awadallah
NoLa
41
86
0
12 Apr 2021
A Review of Generalized Zero-Shot Learning Methods
A Review of Generalized Zero-Shot Learning Methods
Farhad Pourpanah
Moloud Abdar
Yuxuan Luo
Xinlei Zhou
Ran Wang
C. P. Lim
Xizhao Wang
Q. M. Jonathan Wu
VLM
41
348
0
17 Nov 2020
Attribute Propagation Network for Graph Zero-shot Learning
Attribute Propagation Network for Graph Zero-shot Learning
Lu Liu
Dinesh Manocha
Guodong Long
Jing Jiang
Chengqi Zhang
VLM
58
75
0
24 Sep 2020
Ontology-driven weak supervision for clinical entity classification in
  electronic health records
Ontology-driven weak supervision for clinical entity classification in electronic health records
Jason Alan Fries
E. Steinberg
S. Khattar
Scott L. Fleming
J. Posada
A. Callahan
N. Shah
43
72
0
05 Aug 2020
Provably Consistent Partial-Label Learning
Provably Consistent Partial-Label Learning
Lei Feng
Jiaqi Lv
Bo Han
Miao Xu
Gang Niu
Xin Geng
Bo An
Masashi Sugiyama
54
144
0
17 Jul 2020
Learning from Rules Generalizing Labeled Exemplars
Learning from Rules Generalizing Labeled Exemplars
Abhijeet Awasthi
Sabyasachi Ghosh
Rasna Goyal
Sunita Sarawagi
48
86
0
13 Apr 2020
Latent Embedding Feedback and Discriminative Features for Zero-Shot
  Classification
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification
Sanath Narayan
Akshita Gupta
Fahad Shahbaz Khan
Cees G. M. Snoek
Ling Shao
VLM
30
222
0
17 Mar 2020
Structured Prediction with Partial Labelling through the Infimum Loss
Structured Prediction with Partial Labelling through the Infimum Loss
Vivien A. Cabannes
Alessandro Rudi
Francis R. Bach
74
40
0
02 Mar 2020
Learning with Multiple Complementary Labels
Learning with Multiple Complementary Labels
Lei Feng
Takuo Kaneko
Bo Han
Gang Niu
Bo An
Masashi Sugiyama
55
97
0
30 Dec 2019
A Comprehensive Survey on Transfer Learning
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
173
4,395
0
07 Nov 2019
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
501
4,308
0
23 Aug 2019
Scene Graph Prediction with Limited Labels
Scene Graph Prediction with Limited Labels
V. Chen
P. Varma
Ranjay Krishna
Michael S. Bernstein
Christopher Ré
Li Fei-Fei
45
86
0
25 Apr 2019
Structural Scaffolds for Citation Intent Classification in Scientific
  Publications
Structural Scaffolds for Citation Intent Classification in Scientific Publications
Arman Cohan
Bridger Waleed Ammar
Madeleine van Zuylen
Field Cady
50
251
0
02 Apr 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
Yongqin Xian
Saurabh Sharma
Bernt Schiele
Zeynep Akata
GAN
VLM
85
487
0
25 Mar 2019
Learning Dependency Structures for Weak Supervision Models
Learning Dependency Structures for Weak Supervision Models
P. Varma
Frederic Sala
A. He
Alexander Ratner
Christopher Ré
NoLa
72
67
0
14 Mar 2019
Learning a Deep ConvNet for Multi-label Classification with Partial
  Labels
Learning a Deep ConvNet for Multi-label Classification with Partial Labels
Thibaut Durand
Nazanin Mehrasa
Greg Mori
SSL
41
228
0
26 Feb 2019
Transductive Zero-Shot Learning with Visual Structure Constraint
Transductive Zero-Shot Learning with Visual Structure Constraint
Bo Liu
Dongdong Chen
Yan-Ran Li
Xingguang Yan
Junge Zhang
Yizhou Yu
Jing Liao
81
85
0
06 Jan 2019
Bootstrapping Conversational Agents With Weak Supervision
Bootstrapping Conversational Agents With Weak Supervision
Neil Rohit Mallinar
Abhishek Shah
Rajendra Ugrani
Ayush Gupta
Manikandan Gurusankar
...
Yunfeng Zhang
Rachel K. E. Bellamy
Robert Yates
C. Desmarais
Blake McGregor
36
20
0
14 Dec 2018
Snorkel DryBell: A Case Study in Deploying Weak Supervision at
  Industrial Scale
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale
Stephen H. Bach
Daniel Rodríguez
Yintao Liu
Chong Luo
Haidong Shao
...
Braden Hancock
H. Alborzi
Rahul Kuchhal
Christopher Ré
Rob Malkin
53
146
0
02 Dec 2018
Aequitas: A Bias and Fairness Audit Toolkit
Aequitas: A Bias and Fairness Audit Toolkit
Pedro Saleiro
Benedict Kuester
Loren Hinkson
J. London
Abby Stevens
Ari Anisfeld
Kit T. Rodolfa
Rayid Ghani
89
320
0
14 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.2K
93,936
0
11 Oct 2018
Training Complex Models with Multi-Task Weak Supervision
Training Complex Models with Multi-Task Weak Supervision
Alexander Ratner
Braden Hancock
Jared A. Dunnmon
Frederic Sala
Shreyash Pandey
Christopher Ré
41
209
0
05 Oct 2018
Multi-modal Cycle-consistent Generalized Zero-Shot Learning
Multi-modal Cycle-consistent Generalized Zero-Shot Learning
Rafael Felix
B. V. Kumar
Ian Reid
G. Carneiro
GAN
46
354
0
01 Aug 2018
A Large-scale Attribute Dataset for Zero-shot Learning
A Large-scale Attribute Dataset for Zero-shot Learning
Bo Zhao
Yanwei Fu
Rui Liang
Jiahong Wu
Yonggang Wang
Yizhou Wang
41
48
0
12 Apr 2018
Transductive Unbiased Embedding for Zero-Shot Learning
Transductive Unbiased Embedding for Zero-Shot Learning
Mingli Song
Chengchao Shen
Yezhou Yang
Yang Liu
Xiuming Zhang
57
198
0
30 Mar 2018
AllenNLP: A Deep Semantic Natural Language Processing Platform
AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner
Joel Grus
Mark Neumann
Oyvind Tafjord
Pradeep Dasigi
Nelson F. Liu
Matthew E. Peters
Michael Schmitz
Luke Zettlemoyer
VLM
59
1,280
0
20 Mar 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
141
11,520
0
15 Feb 2018
Generalized Zero-Shot Learning via Synthesized Examples
Generalized Zero-Shot Learning via Synthesized Examples
Vinay Kumar Verma
Gundeep Arora
Ashish Mishra
Piyush Rai
57
452
0
11 Dec 2017
Snorkel: Rapid Training Data Creation with Weak Supervision
Snorkel: Rapid Training Data Creation with Weak Supervision
Alexander Ratner
Stephen H. Bach
Henry R. Ehrenberg
Jason Alan Fries
Sen Wu
Christopher Ré
69
1,021
0
28 Nov 2017
Generating Visual Representations for Zero-Shot Classification
Generating Visual Representations for Zero-Shot Classification
Max Bucher
Stéphane Herbin
F. Jurie
VLM
63
152
0
23 Aug 2017
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad
  and the Ugly
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian
Christoph H. Lampert
Bernt Schiele
Zeynep Akata
VLM
132
1,554
0
03 Jul 2017
Learning from Complementary Labels
Learning from Complementary Labels
Takashi Ishida
Gang Niu
Weihua Hu
Masashi Sugiyama
41
163
0
22 May 2017
Learning the Structure of Generative Models without Labeled Data
Learning the Structure of Generative Models without Labeled Data
Stephen H. Bach
Bryan D. He
Alexander Ratner
Christopher Ré
50
166
0
02 Mar 2017
Data Programming: Creating Large Training Sets, Quickly
Data Programming: Creating Large Training Sets, Quickly
Alexander Ratner
Christopher De Sa
Sen Wu
Daniel Selsam
Christopher Ré
136
713
0
25 May 2016
Latent Embeddings for Zero-shot Classification
Latent Embeddings for Zero-shot Classification
Yongqin Xian
Zeynep Akata
Gaurav Sharma
Quynh N. Nguyen
Matthias Hein
Bernt Schiele
BDL
61
717
0
29 Mar 2016
Synthesized Classifiers for Zero-Shot Learning
Synthesized Classifiers for Zero-Shot Learning
Soravit Changpinyo
Wei-Lun Chao
Boqing Gong
Fei Sha
101
735
0
02 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
Optimal Binary Classifier Aggregation for General Losses
Optimal Binary Classifier Aggregation for General Losses
Akshay Balsubramani
Y. Freund
27
11
0
01 Oct 2015
Character-level Convolutional Networks for Text Classification
Character-level Convolutional Networks for Text Classification
Xiang Zhang
Jiaqi Zhao
Yann LeCun
217
6,077
0
04 Sep 2015
Optimally Combining Classifiers Using Unlabeled Data
Optimally Combining Classifiers Using Unlabeled Data
Akshay Balsubramani
Y. Freund
43
43
0
05 Mar 2015
Zero Shot Recognition with Unreliable Attributes
Zero Shot Recognition with Unreliable Attributes
Dinesh Jayaraman
Kristen Grauman
VLM
41
294
0
15 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.2K
39,383
0
01 Sep 2014
Parameter identifiability of discrete Bayesian networks with hidden
  variables
Parameter identifiability of discrete Bayesian networks with hidden variables
E. Allman
J. Rhodes
E. Stanghellini
Marco Valtorta
137
13
0
02 Jun 2014
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Mohammad Norouzi
Tomas Mikolov
Samy Bengio
Y. Singer
Jonathon Shlens
Andrea Frome
G. Corrado
J. Dean
VLM
54
936
0
19 Dec 2013
Minimax Optimal Convergence Rates for Estimating Ground Truth from
  Crowdsourced Labels
Minimax Optimal Convergence Rates for Estimating Ground Truth from Crowdsourced Labels
Chao Gao
Dengyong Zhou
61
71
0
22 Oct 2013
Zero-Shot Learning Through Cross-Modal Transfer
Zero-Shot Learning Through Cross-Modal Transfer
R. Socher
M. Ganjoo
Hamsa Sridhar
Osbert Bastani
Christopher D. Manning
A. Ng
BDL
VLM
114
1,467
0
16 Jan 2013
Identifiability of parameters in latent structure models with many
  observed variables
Identifiability of parameters in latent structure models with many observed variables
E. Allman
C. Matias
J. Rhodes
CML
137
532
0
29 Sep 2008
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