ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1111.1784
  4. Cited By
UPAL: Unbiased Pool Based Active Learning
v1v2 (latest)

UPAL: Unbiased Pool Based Active Learning

International Conference on Artificial Intelligence and Statistics (AISTATS), 2011
8 November 2011
Ravi Ganti
Alexander G. Gray
ArXiv (abs)PDFHTML

Papers citing "UPAL: Unbiased Pool Based Active Learning"

18 / 18 papers shown
Title
A Framework for Efficient Model Evaluation through Stratification,
  Sampling, and Estimation
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation
Riccardo Fogliato
Pratik Patil
Mathew Monfort
Pietro Perona
146
5
0
11 Jun 2024
A Comprehensive Survey for Hyperspectral Image Classification: The
  Evolution from Conventional to Transformers
A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers
Muhammad Ahmad
Salvatore Distifano
Adil Mehmood Khan
Manuel Mazzara
Chenyu Li
Jing Yao
Hao Li
Jagannath Aryal
Gemine Vivone
Danfeng Hong
304
19
0
23 Apr 2024
Querying Easily Flip-flopped Samples for Deep Active Learning
Querying Easily Flip-flopped Samples for Deep Active Learning
S. Cho
G. Kim
Junghyun Lee
Jinwoo Shin
Chang D. Yoo
161
8
0
18 Jan 2024
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandit
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandit
Tian Huang
Ke Li
Ke Li
146
1
0
23 Nov 2023
Active sampling: A machine-learning-assisted framework for finite
  population inference with optimal subsamples
Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples
Henrik Imberg
Xiaomi Yang
Carol Flannagan
Jonas Bärgman
247
11
0
20 Dec 2022
Pareto Optimization for Active Learning under Out-of-Distribution Data
  Scenarios
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios
Xueying Zhan
Zeyu Dai
Qingzhong Wang
Qing Li
Haoyi Xiong
Dejing Dou
Antoni B. Chan
OODD
106
3
0
04 Jul 2022
Active Testing: Sample-Efficient Model Evaluation
Active Testing: Sample-Efficient Model EvaluationInternational Conference on Machine Learning (ICML), 2021
Jannik Kossen
Sebastian Farquhar
Y. Gal
Tom Rainforth
VLM
146
69
0
09 Mar 2021
On Statistical Bias In Active Learning: How and When To Fix It
On Statistical Bias In Active Learning: How and When To Fix ItInternational Conference on Learning Representations (ICLR), 2021
Sebastian Farquhar
Y. Gal
Tom Rainforth
TDIHAI
128
91
0
27 Jan 2021
Active Hybrid Classification
Active Hybrid Classification
E. Krivosheev
Fabio Casati
A. Bozzon
39
1
0
21 Jan 2021
Hyperspectral Image Classification-Traditional to Deep Models: A Survey
  for Future Prospects
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future ProspectsIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), 2021
Muhammad Ahmad
Sidrah Shabbir
Swalpa Kumar Roy
Danfeng Hong
Xin Wu
Jing Yao
A. Khan
Manuel Mazzara
Salvatore Distefano
Jocelyn Chanussot
236
299
0
15 Jan 2021
Importance of Self-Consistency in Active Learning for Semantic
  Segmentation
Importance of Self-Consistency in Active Learning for Semantic Segmentation
S. Golestaneh
Kris Kitani
SSL
74
42
0
04 Aug 2020
Noisy Batch Active Learning with Deterministic Annealing
Noisy Batch Active Learning with Deterministic Annealing
Gaurav Gupta
Anit Kumar Sahu
Wan-Yi Lin
NoLa
111
6
0
27 Sep 2019
Analyzing Data Selection Techniques with Tools from the Theory of
  Information Losses
Analyzing Data Selection Techniques with Tools from the Theory of Information Losses
Brandon Foggo
N. Yu
166
2
0
25 Feb 2019
Nuclear Discrepancy for Active Learning
Nuclear Discrepancy for Active Learning
T. Viering
Jesse H. Krijthe
Marco Loog
39
1
0
08 Jun 2017
Selective Harvesting over Networks
Selective Harvesting over Networks
Fabricio Murai
Diogo Rennó
Bruno Ribeiro
G. Pappa
Don Towsley
Krista Gile
59
12
0
15 Mar 2017
Active Regression by Stratification
Active Regression by Stratification
Sivan Sabato
Rémi Munos
239
39
0
22 Oct 2014
Volumetric Spanners: an Efficient Exploration Basis for Learning
Volumetric Spanners: an Efficient Exploration Basis for LearningJournal of machine learning research (JMLR), 2013
Elad Hazan
Zohar Karnin
Raghu Mehka
394
99
0
21 Dec 2013
Building Bridges: Viewing Active Learning from the Multi-Armed Bandit
  Lens
Building Bridges: Viewing Active Learning from the Multi-Armed Bandit LensConference on Uncertainty in Artificial Intelligence (UAI), 2013
Ravi Ganti
Alexander G. Gray
114
29
0
26 Sep 2013
1