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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
Large Language Models are Demonstration Pre-Selectors for Themselves
Large Language Models are Demonstration Pre-Selectors for Themselves
Jiarui Jin
Yuwei Wu
Haoxuan Li
Xiaoting He
Weinan Zhang
Y. Yang
Yong Yu
Jun Wang
Mengyue Yang
57
0
0
06 Jun 2025
SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation
SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation
Ruiyu Mao
Sarthak Kumar Maharana
Xulong Tang
Yunhui Guo
3DPC
86
0
0
06 May 2025
Image Classification with Deep Reinforcement Active Learning
Image Classification with Deep Reinforcement Active Learning
Mingyuan Jiu
Xuguang Song
H. Sahbi
Shupan Li
Yan Chen
Wei Guo
Lihua Guo
Mingliang Xu
VLM
56
1
0
31 Dec 2024
Targeting Negative Flips in Active Learning using Validation Sets
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
AAML
83
0
0
16 Nov 2024
A Practical Guide to Fine-tuning Language Models with Limited Data
A Practical Guide to Fine-tuning Language Models with Limited Data
Márton Szép
Daniel Rueckert
Rüdiger von Eisenhart-Rothe
Florian Hinterwimmer
SyDaALM
130
2
0
14 Nov 2024
ALVIN: Active Learning Via INterpolation
ALVIN: Active Learning Via INterpolation
Michalis Korakakis
Andreas Vlachos
Adrian Weller
98
0
0
11 Oct 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
Haoyue Bai
Jifan Zhang
Robert Nowak
139
7
0
10 Oct 2024
STONE: A Submodular Optimization Framework for Active 3D Object
  Detection
STONE: A Submodular Optimization Framework for Active 3D Object Detection
Ruiyu Mao
Sarthak Kumar Maharana
Rishabh K Iyer
Yunhui Guo
3DPC
59
1
0
04 Oct 2024
A Scalable Algorithm for Active Learning
A Scalable Algorithm for Active Learning
Youguang Chen
Zheyu Wen
George Biros
39
0
0
11 Sep 2024
Active Learning for Identifying Disaster-Related Tweets: A Comparison
  with Keyword Filtering and Generic Fine-Tuning
Active Learning for Identifying Disaster-Related Tweets: A Comparison with Keyword Filtering and Generic Fine-Tuning
David Hanny
Sebastian Schmidt
Bernd Resch
51
2
0
19 Aug 2024
DCoM: Active Learning for All Learners
DCoM: Active Learning for All Learners
Inbal Mishal
D. Weinshall
VLM
51
1
0
01 Jul 2024
Not All Preference Pairs Are Created Equal: A Recipe for
  Annotation-Efficient Iterative Preference Learning
Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning
Sen Yang
Leyang Cui
Deng Cai
Xinting Huang
Shuming Shi
Wai Lam
78
9
0
25 Jun 2024
Effective Data Selection for Seismic Interpretation through Disagreement
Effective Data Selection for Seismic Interpretation through Disagreement
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
65
2
0
01 Jun 2024
Test-Time Training on Graphs with Large Language Models (LLMs)
Test-Time Training on Graphs with Large Language Models (LLMs)
Jiaxin Zhang
Yiqi Wang
Xihong Yang
Siwei Wang
Yu Feng
Yu Shi
Ruicaho Ren
En Zhu
Xinwang Liu
91
3
0
21 Apr 2024
On the Fragility of Active Learners for Text Classification
On the Fragility of Active Learners for Text Classification
Abhishek Ghose
Emma Nguyen
111
2
0
23 Mar 2024
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient
  Fine-Tuning of Large Language Models
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models
Linhai Zhang
Jialong Wu
Deyu Zhou
Guoqiang Xu
98
5
0
02 Mar 2024
Towards Efficient Active Learning in NLP via Pretrained Representations
Towards Efficient Active Learning in NLP via Pretrained Representations
Artem Vysogorets
Achintya Gopal
64
0
0
23 Feb 2024
Composite Active Learning: Towards Multi-Domain Active Learning with
  Theoretical Guarantees
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
Guang-Yuan Hao
Hengguan Huang
Haotian Wang
Jie Gao
Hao Wang
OOD
93
1
0
03 Feb 2024
Synthetic Information towards Maximum Posterior Ratio for deep learning
  on Imbalanced Data
Synthetic Information towards Maximum Posterior Ratio for deep learning on Imbalanced Data
Hung Nguyen
Morris Chang
SyDa
61
1
0
05 Jan 2024
The Efficiency Spectrum of Large Language Models: An Algorithmic Survey
The Efficiency Spectrum of Large Language Models: An Algorithmic Survey
Tianyu Ding
Tianyi Chen
Haidong Zhu
Jiachen Jiang
Yiqi Zhong
Jinxin Zhou
Guangzhi Wang
Zhihui Zhu
Ilya Zharkov
Luming Liang
121
24
0
01 Dec 2023
ACTOR: Active Learning with Annotator-specific Classification Heads to
  Embrace Human Label Variation
ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation
Xinpeng Wang
Barbara Plank
70
7
0
23 Oct 2023
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
128
31
0
22 Oct 2023
Multi-Resolution Active Learning of Fourier Neural Operators
Multi-Resolution Active Learning of Fourier Neural Operators
Shibo Li
Xin Yu
Wei W. Xing
Mike Kirby
Akil Narayan
Shandian Zhe
AI4CE
112
8
0
29 Sep 2023
Learning Objective-Specific Active Learning Strategies with Attentive
  Neural Processes
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes
Tim Bakker
H. V. Hoof
Max Welling
79
2
0
11 Sep 2023
Mining of Single-Class by Active Learning for Semantic Segmentation
Mining of Single-Class by Active Learning for Semantic Segmentation
Hugues Lambert
E. Slade
CLLVLM
60
0
0
18 Jul 2023
REAL: A Representative Error-Driven Approach for Active Learning
REAL: A Representative Error-Driven Approach for Active Learning
Cheng Chen
Yong Wang
Lizi Liao
Yueguo Chen
Xiaoyong Du
116
2
0
03 Jul 2023
Taming Small-sample Bias in Low-budget Active Learning
Taming Small-sample Bias in Low-budget Active Learning
Linxin Song
Jieyu Zhang
Xiaotian Lu
Dinesh Manocha
AI4CE
80
0
0
19 Jun 2023
Training-Free Neural Active Learning with Initialization-Robustness
  Guarantees
Training-Free Neural Active Learning with Initialization-Robustness Guarantees
Apivich Hemachandra
Zhongxiang Dai
Jasraj Singh
See-Kiong Ng
K. H. Low
AAML
87
7
0
07 Jun 2023
How to Select Which Active Learning Strategy is Best Suited for Your
  Specific Problem and Budget
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget
Guy Hacohen
D. Weinshall
107
9
0
06 Jun 2023
Query Complexity of Active Learning for Function Family With Nearly
  Orthogonal Basis
Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis
Xiangyi Chen
Zhao Song
Baochen Sun
Junze Yin
Danyang Zhuo
88
3
0
06 Jun 2023
Active Learning for Natural Language Generation
Active Learning for Natural Language Generation
Yotam Perlitz
Ariel Gera
Michal Shmueli-Scheuer
D. Sheinwald
Noam Slonim
L. Ein-Dor
94
3
0
24 May 2023
Parameter-Efficient Language Model Tuning with Active Learning in
  Low-Resource Settings
Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings
Josip Jukić
Jan vSnajder
86
4
0
23 May 2023
On the Limitations of Simulating Active Learning
On the Limitations of Simulating Active Learning
Katerina Margatina
Nikolaos Aletras
82
11
0
21 May 2023
Has It All Been Solved? Open NLP Research Questions Not Solved by Large
  Language Models
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
Oana Ignat
Zhijing Jin
Artem Abzaliev
Laura Biester
Santiago Castro
...
Verónica Pérez-Rosas
Siqi Shen
Zekun Wang
Winston Wu
Rada Mihalcea
LRM
139
6
0
21 May 2023
Actively Discovering New Slots for Task-oriented Conversation
Actively Discovering New Slots for Task-oriented Conversation
Yuxia Wu
Tianhao Dai
Zhedong Zheng
Lizi Liao
65
1
0
06 May 2023
Transfer and Active Learning for Dissonance Detection: Addressing the
  Rare-Class Challenge
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge
Vasudha Varadarajan
Swanie Juhng
Syeda Mahwish
Xiaoran Liu
Jonah Luby
C. Luhmann
H. Andrew Schwartz
86
3
0
03 May 2023
Streaming Active Learning with Deep Neural Networks
Streaming Active Learning with Deep Neural Networks
Akanksha Saran
Safoora Yousefi
A. Krishnamurthy
John Langford
Jordan T. Ash
72
15
0
05 Mar 2023
Gaussian Switch Sampling: A Second Order Approach to Active Learning
Gaussian Switch Sampling: A Second Order Approach to Active Learning
Ryan Benkert
Mohit Prabhushankar
Ghassan Al-Regib
Armin Pacharmi
E. Corona
AAML
95
9
0
16 Feb 2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets
Algorithm Selection for Deep Active Learning with Imbalanced Datasets
Jifan Zhang
Shuai Shao
Saurabh Verma
Robert D. Nowak
112
21
0
14 Feb 2023
Investigating Multi-source Active Learning for Natural Language
  Inference
Investigating Multi-source Active Learning for Natural Language Inference
Ard Snijders
Douwe Kiela
Katerina Margatina
77
7
0
14 Feb 2023
Forgetful Active Learning with Switch Events: Efficient Sampling for
  Out-of-Distribution Data
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
OODDOOD
76
9
0
12 Jan 2023
Active Learning Guided by Efficient Surrogate Learners
Active Learning Guided by Efficient Surrogate Learners
Yunpyo An
Suyeong Park
K. Kim
58
1
0
07 Jan 2023
Deep Active Learning Using Barlow Twins
Deep Active Learning Using Barlow Twins
J. Mandivarapu
Blake Camp
Rolando Estrada
SSL
58
0
0
30 Dec 2022
Smooth Sailing: Improving Active Learning for Pre-trained Language
  Models with Representation Smoothness Analysis
Smooth Sailing: Improving Active Learning for Pre-trained Language Models with Representation Smoothness Analysis
Josip Jukić
Jan Snajder
78
5
0
20 Dec 2022
Margin-based sampling in high dimensions: When being active is less
  efficient than staying passive
Margin-based sampling in high dimensions: When being active is less efficient than staying passive
A. Tifrea
Jacob Clarysse
Fanny Yang
59
5
0
01 Dec 2022
Deep Active Learning for Computer Vision: Past and Future
Deep Active Learning for Computer Vision: Past and Future
Rinyoichi Takezoe
Xu Liu
Shunan Mao
Marco Tianyu Chen
Zhanpeng Feng
Shiliang Zhang
Xiaoyu Wang
VLM
94
21
0
27 Nov 2022
An Efficient Active Learning Pipeline for Legal Text Classification
An Efficient Active Learning Pipeline for Legal Text Classification
Sepideh Mamooler
R. Lebret
Stéphane Massonnet
Karl Aberer
AILaw
60
4
0
15 Nov 2022
Neural Active Learning on Heteroskedastic Distributions
Neural Active Learning on Heteroskedastic Distributions
Savya Khosla
Chew Kin Whye
Jordan T. Ash
Cyril Zhang
Kenji Kawaguchi
Alex Lamb
39
2
0
02 Nov 2022
Radically Lower Data-Labeling Costs for Visually Rich Document
  Extraction Models
Radically Lower Data-Labeling Costs for Visually Rich Document Extraction Models
Yichao Zhou
James Bradley Wendt
Navneet Potti
Jing Xie
Sandeep Tata
VLM
57
1
0
28 Oct 2022
Uncertainty Sentence Sampling by Virtual Adversarial Perturbation
Uncertainty Sentence Sampling by Virtual Adversarial Perturbation
Han Zhang
Zhen Zhang
Hongfei Jiang
Yang Song
40
0
0
26 Oct 2022
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