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Discriminative Active Learning

Discriminative Active Learning

15 July 2019
Daniel Gissin
Shai Shalev-Shwartz
ArXiv (abs)PDFHTML

Papers citing "Discriminative Active Learning"

50 / 107 papers shown
Title
Batch Multi-Fidelity Active Learning with Budget Constraints
Batch Multi-Fidelity Active Learning with Budget Constraints
Shibo Li
J. M. Phillips
Xin Yu
Robert M. Kirby
Shandian Zhe
148
15
0
23 Oct 2022
A Survey of Active Learning for Natural Language Processing
A Survey of Active Learning for Natural Language Processing
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
100
68
0
18 Oct 2022
TiDAL: Learning Training Dynamics for Active Learning
TiDAL: Learning Training Dynamics for Active Learning
Seong Min Kye
Kwanghee Choi
Hyeongmin Byun
Buru Chang
92
14
0
13 Oct 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
156
114
0
31 Aug 2022
Neural Design for Genetic Perturbation Experiments
Neural Design for Genetic Perturbation Experiments
Aldo Pacchiano
Drausin Wulsin
Robert A. Barton
L. Voloch
80
5
0
26 Jul 2022
Active Learning Strategies for Weakly-supervised Object Detection
Active Learning Strategies for Weakly-supervised Object Detection
Huy V. Vo
Oriane Siméoni
Spyros Gidaris
Andrei Bursuc
Patrick Pérez
Jean Ponce
113
19
0
25 Jul 2022
"Diversity and Uncertainty in Moderation" are the Key to Data Selection
  for Multilingual Few-shot Transfer
"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer
Shanu Kumar
Sandipan Dandapat
Monojit Choudhury
75
6
0
30 Jun 2022
Patient Aware Active Learning for Fine-Grained OCT Classification
Patient Aware Active Learning for Fine-Grained OCT Classification
Yash-yee Logan
Ryan Benkert
Ahmad Mustafa
Gukyeong Kwon
Ghassan AlRegib
83
11
0
23 Jun 2022
Active Learning Through a Covering Lens
Active Learning Through a Covering Lens
Ofer Yehuda
Avihu Dekel
Guy Hacohen
D. Weinshall
86
50
0
23 May 2022
Tyger: Task-Type-Generic Active Learning for Molecular Property
  Prediction
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction
Kuangqi Zhou
Kaixin Wang
Jiashi Feng
Jian Tang
Tingyang Xu
Xinchao Wang
68
1
0
23 May 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
Shujian Zhang
Chengyue Gong
Xingchao Liu
Pengcheng He
Weizhu Chen
Mingyuan Zhou
100
26
0
10 May 2022
A Comparative Survey of Deep Active Learning
A Comparative Survey of Deep Active Learning
Xueying Zhan
Qingzhong Wang
Kuan-Hao Huang
Haoyi Xiong
Dejing Dou
Antoni B. Chan
FedMLHAI
135
113
0
25 Mar 2022
Uncertainty Estimation for Language Reward Models
Uncertainty Estimation for Language Reward Models
Adam Gleave
G. Irving
UQLM
84
34
0
14 Mar 2022
Improving performance of aircraft detection in satellite imagery while
  limiting the labelling effort: Hybrid active learning
Improving performance of aircraft detection in satellite imagery while limiting the labelling effort: Hybrid active learning
Julie Imbert
G. Dashyan
Alex Goupilleau
Tugdual Ceillier
M. Corbineau
31
2
0
10 Feb 2022
A Lagrangian Duality Approach to Active Learning
A Lagrangian Duality Approach to Active Learning
Juan Elenter
Navid Naderializadeh
Alejandro Ribeiro
96
23
0
08 Feb 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low
  Budgets
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Guy Hacohen
Avihu Dekel
D. Weinshall
233
123
0
06 Feb 2022
GALAXY: Graph-based Active Learning at the Extreme
GALAXY: Graph-based Active Learning at the Extreme
Jifan Zhang
Julian Katz-Samuels
Robert D. Nowak
72
32
0
03 Feb 2022
Active Learning Over Multiple Domains in Natural Language Tasks
Active Learning Over Multiple Domains in Natural Language Tasks
Shayne Longpre
Julia Reisler
E. G. Huang
Yi Lu
Andrew J. Frank
Nikhil Ramesh
Chris DuBois
OOD
104
13
0
01 Feb 2022
Active Learning for Domain Adaptation: An Energy-Based Approach
Active Learning for Domain Adaptation: An Energy-Based Approach
Binhui Xie
Longhui Yuan
Shuang Li
Chi Harold Liu
Xinjing Cheng
Guoren Wang
100
115
0
02 Dec 2021
Hitting the Target: Stopping Active Learning at the Cost-Based Optimum
Hitting the Target: Stopping Active Learning at the Cost-Based Optimum
Zac Pullar-Strecker
Katharina Dost
E. Frank
Jörg Simon Wicker
161
11
0
07 Oct 2021
Cartography Active Learning
Cartography Active Learning
Mike Zhang
Barbara Plank
107
39
0
09 Sep 2021
Active Learning by Acquiring Contrastive Examples
Active Learning by Acquiring Contrastive Examples
Katerina Margatina
Giorgos Vernikos
Loïc Barrault
Nikolaos Aletras
92
194
0
08 Sep 2021
ALLWAS: Active Learning on Language models in WASserstein space
ALLWAS: Active Learning on Language models in WASserstein space
Anson Bastos
Manohar Kaul
MedIm
55
1
0
03 Sep 2021
Small-Text: Active Learning for Text Classification in Python
Small-Text: Active Learning for Text Classification in Python
Christopher Schröder
Lydia Muller
A. Niekler
Martin Potthast
CLIPVLMAI4CE
123
28
0
21 Jul 2021
Active learning for imbalanced data under cold start
Active learning for imbalanced data under cold start
R. Barata
Miguel Leite
R. Pacheco
Marco O. P. Sampaio
João Tiago Ascensão
P. Bizarro
AI4CE
46
8
0
16 Jul 2021
Multi-Domain Active Learning: Literature Review and Comparative Study
Multi-Domain Active Learning: Literature Review and Comparative Study
Ruidan He
Shengcai Liu
Shan He
Ke Tang
OOD
87
14
0
25 Jun 2021
Gone Fishing: Neural Active Learning with Fisher Embeddings
Gone Fishing: Neural Active Learning with Fisher Embeddings
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Sham Kakade
76
88
0
17 Jun 2021
Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review
Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review
Eugene Yang
Sean MacAvaney
D. Lewis
O. Frieder
126
29
0
03 May 2021
Multi-class Text Classification using BERT-based Active Learning
Multi-class Text Classification using BERT-based Active Learning
Sumanth Prabhu
Moosa Mohamed
Hemant Misra
72
39
0
27 Apr 2021
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label
  Complexity
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity
Seo Taek Kong
Soomin Jeon
Dongbin Na
Jaewon Lee
Honglak Lee
Kyu-Hwan Jung
67
6
0
08 Apr 2021
Low-Regret Active learning
Low-Regret Active learning
Cenk Baykal
Lucas Liebenwein
Dan Feldman
Daniela Rus
UQCV
79
3
0
06 Apr 2021
Discrepancy-Based Active Learning for Domain Adaptation
Discrepancy-Based Active Learning for Domain Adaptation
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
102
24
0
05 Mar 2021
Active Learning to Classify Macromolecular Structures in situ for Less
  Supervision in Cryo-Electron Tomography
Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography
Xuefeng Du
Haohan Wang
Zhenxi Zhu
Xiangrui Zeng
Yi-Wei Chang
Jing Zhang
Min Xu
35
11
0
24 Feb 2021
A Survey on Active Deep Learning: From Model-driven to Data-driven
Peng Liu
Lizhe Wang
Guojin He
Lei Zhao
85
14
0
25 Jan 2021
Active learning for object detection in high-resolution satellite images
Active learning for object detection in high-resolution satellite images
Alex Goupilleau
Tugdual Ceillier
M. Corbineau
ObjD
28
8
0
07 Jan 2021
Active Deep Learning on Entity Resolution by Risk Sampling
Active Deep Learning on Entity Resolution by Risk Sampling
Youcef Nafa
Qun Chen
Zhaoqiang Chen
Xingyu Lu
Haiyang He
Tianyi Duan
Zhanhuai Li
80
17
0
23 Dec 2020
Deep Multi-Fidelity Active Learning of High-dimensional Outputs
Deep Multi-Fidelity Active Learning of High-dimensional Outputs
Shibo Li
Robert M. Kirby
Shandian Zhe
AI4CE
57
28
0
02 Dec 2020
DEAL: Difficulty-aware Active Learning for Semantic Segmentation
DEAL: Difficulty-aware Active Learning for Semantic Segmentation
Shuai Xie
Zunlei Feng
Ying Chen
Songtao Sun
Chao Ma
Xiuming Zhang
VLM
169
51
0
17 Oct 2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Viraj Prabhu
Arjun Chandrasekaran
Kate Saenko
Judy Hoffman
OOD
150
128
0
16 Oct 2020
Ask-n-Learn: Active Learning via Reliable Gradient Representations for
  Image Classification
Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification
Bindya Venkatesh
Jayaraman J. Thiagarajan
18
4
0
30 Sep 2020
A Survey of Deep Active Learning
A Survey of Deep Active Learning
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
138
1,160
0
30 Aug 2020
A Survey of Active Learning for Text Classification using Deep Neural
  Networks
A Survey of Active Learning for Text Classification using Deep Neural Networks
Christopher Schröder
A. Niekler
83
101
0
17 Aug 2020
Effective Version Space Reduction for Convolutional Neural Networks
Effective Version Space Reduction for Convolutional Neural Networks
Jiayu Liu
Ioannis Chiotellis
Rudolph Triebel
Daniel Cremers
19
2
0
22 Jun 2020
Discriminative Active Learning for Domain Adaptation
Discriminative Active Learning for Domain Adaptation
Fan Zhou
Changjian Shui
Bincheng Huang
Boyu Wang
B. Chaib-draa
OOD
74
25
0
24 May 2020
VirAAL: Virtual Adversarial Active Learning For NLU
VirAAL: Virtual Adversarial Active Learning For NLU
Grégory Senay
Badr Youbi Idrissi
Marine Haziza
AAML
14
1
0
14 May 2020
Neural Networks Are More Productive Teachers Than Human Raters: Active
  Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model
Dongdong Wang
Yandong Li
Liqiang Wang
Boqing Gong
76
49
0
31 Mar 2020
Diffusion-based Deep Active Learning
Diffusion-based Deep Active Learning
D. Kushnir
Luca Venturi
45
11
0
23 Mar 2020
Information Condensing Active Learning
Information Condensing Active Learning
Siddhartha Jain
Ge Liu
David K Gifford
VLM
77
2
0
18 Feb 2020
Towards Interpretable and Learnable Risk Analysis for Entity Resolution
Towards Interpretable and Learnable Risk Analysis for Entity Resolution
Zhaoqiang Chen
Qun Chen
Boyi Hou
Tianyi Duan
Zhanhuai Li
Guoliang Li
96
22
0
06 Dec 2019
Deep Active Learning: Unified and Principled Method for Query and
  Training
Deep Active Learning: Unified and Principled Method for Query and Training
Changjian Shui
Fan Zhou
Christian Gagné
Boyu Wang
FedML
102
153
0
20 Nov 2019
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