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Diameter-Based Active Learning
v1v2 (latest)

Diameter-Based Active Learning

International Conference on Machine Learning (ICML), 2017
27 February 2017
Christopher Tosh
S. Dasgupta
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Diameter-Based Active Learning"

14 / 14 papers shown
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network modelsMachine-mediated learning (ML), 2024
L. Ai
Stephen Muggleton
Shishun Liang
Geoff S. Baldwin
411
2
0
10 May 2024
Targeted active learning for probabilistic models
Targeted active learning for probabilistic models
Christopher Tosh
Mauricio Tec
Wesley Tansey
246
2
0
21 Oct 2022
Fast Rates in Pool-Based Batch Active Learning
Fast Rates in Pool-Based Batch Active Learning
Claudio Gentile
Zhilei Wang
Tong Zhang
410
19
0
11 Feb 2022
Practical, Provably-Correct Interactive Learning in the Realizable
  Setting: The Power of True Believers
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
Julian Katz-Samuels
Blake Mason
Kevin Jamieson
R. Nowak
159
0
0
09 Nov 2021
Distribution Matching for Machine Teaching
Distribution Matching for Machine TeachingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Xiaofeng Cao
Ivor W. Tsang
275
5
0
06 May 2021
Effective Version Space Reduction for Convolutional Neural Networks
Effective Version Space Reduction for Convolutional Neural Networks
Jiayu Liu
Ioannis Chiotellis
Rudolph Triebel
Zorah Lähner
114
2
0
22 Jun 2020
Adaptive Region-Based Active Learning
Adaptive Region-Based Active LearningInternational Conference on Machine Learning (ICML), 2020
Corinna Cortes
Giulia DeSalvo
Claudio Gentile
M. Mohri
Ningshan Zhang
OOD
211
23
0
18 Feb 2020
What is the Value of Data? On Mathematical Methods for Data Quality
  Estimation
What is the Value of Data? On Mathematical Methods for Data Quality EstimationInternational Symposium on Information Theory (ISIT), 2020
Netanel Raviv
Siddhartha Jain
Jehoshua Bruck
165
6
0
09 Jan 2020
Flattening a Hierarchical Clustering through Active Learning
Flattening a Hierarchical Clustering through Active LearningNeural Information Processing Systems (NeurIPS), 2019
Fabio Vitale
Anand Rajagopalan
Claudio Gentile
327
7
0
22 Jun 2019
Diameter-based Interactive Structure Discovery
Diameter-based Interactive Structure DiscoveryInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Christopher Tosh
Daniel J. Hsu
244
3
0
05 Jun 2019
Target-Independent Active Learning via Distribution-Splitting
Xiaofeng Cao
Ivor W. Tsang
Xiaofeng Xu
Guandong Xu
486
0
0
28 Sep 2018
A Structured Perspective of Volumes on Active Learning
Xiaofeng Cao
Ivor W. Tsang
Guandong Xu
184
3
0
24 Jul 2018
A Divide-and-Conquer Approach to Geometric Sampling for Active Learning
Xiaofeng Cao
144
1
0
31 May 2018
Structural query-by-committee
Structural query-by-committee
Christopher Tosh
S. Dasgupta
107
1
0
17 Mar 2018
1
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