ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1611.08618
  4. Cited By
A Benchmark and Comparison of Active Learning for Logistic Regression
v1v2 (latest)

A Benchmark and Comparison of Active Learning for Logistic Regression

25 November 2016
Yazhou Yang
Marco Loog
ArXiv (abs)PDFHTML

Papers citing "A Benchmark and Comparison of Active Learning for Logistic Regression"

13 / 13 papers shown
Title
Near-Polynomially Competitive Active Logistic Regression
Near-Polynomially Competitive Active Logistic Regression
Yihan Zhou
Eric Price
Trung Nguyen
92
0
0
07 Mar 2025
Efficient Biological Data Acquisition through Inference Set Design
Efficient Biological Data Acquisition through Inference Set Design
Ihor Neporozhnii
Julien Roy
Emmanuel Bengio
Jason Hartford
85
1
0
25 Oct 2024
Active Learning for Neural PDE Solvers
Active Learning for Neural PDE Solvers
Daniel Musekamp
Marimuthu Kalimuthu
David Holzmüller
Makoto Takamoto
Carlos Fernandez
AI4CE
127
7
0
02 Aug 2024
Active Multi-Kernel Domain Adaptation for Hyperspectral Image
  Classification
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification
Cheng Deng
Xianglong Liu
Chao Li
Dacheng Tao
35
139
0
10 Apr 2019
Bag-Level Aggregation for Multiple Instance Active Learning in Instance
  Classification Problems
Bag-Level Aggregation for Multiple Instance Active Learning in Instance Classification Problems
M. Carbonneau
Eric Granger
G. Gagnon
49
31
0
06 Oct 2017
On Measuring and Quantifying Performance: Error Rates, Surrogate Loss,
  and an Example in SSL
On Measuring and Quantifying Performance: Error Rates, Surrogate Loss, and an Example in SSL
Marco Loog
Jesse H. Krijthe
A. C. Jensen
41
7
0
13 Jul 2017
A Variance Maximization Criterion for Active Learning
A Variance Maximization Criterion for Active Learning
Yazhou Yang
Marco Loog
30
49
0
23 Jun 2017
Active Decision Boundary Annotation with Deep Generative Models
Active Decision Boundary Annotation with Deep Generative Models
Miriam W. Huijser
Jan van Gemert
47
46
0
20 Mar 2017
Generative Adversarial Active Learning
Generative Adversarial Active Learning
Jia Jie Zhu
José Bento
GAN
60
185
0
25 Feb 2017
Cost-Effective Active Learning for Deep Image Classification
Cost-Effective Active Learning for Deep Image Classification
Keze Wang
Dongyu Zhang
Ya Li
Ruimao Zhang
Liang Lin
VLM
90
679
0
13 Jan 2017
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets
  for Future Tasks
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks
E. Gavves
Thomas Mensink
Tatiana Tommasi
Cees G. M. Snoek
Tinne Tuytelaars
VLM
43
69
0
06 Oct 2015
A Testbed for Cross-Dataset Analysis
A Testbed for Cross-Dataset Analysis
Tatiana Tommasi
Tinne Tuytelaars
Barbara Caputo
208
95
0
24 Feb 2014
Agnostic Active Learning Without Constraints
Agnostic Active Learning Without Constraints
A. Beygelzimer
Daniel J. Hsu
John Langford
Tong Zhang
VLM
120
180
0
14 Jun 2010
1