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Active Learning for Cost-Sensitive Classification

Active Learning for Cost-Sensitive Classification

3 March 2017
A. Krishnamurthy
Alekh Agarwal
Tzu-Kuo Huang
Hal Daumé
John Langford
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Papers citing "Active Learning for Cost-Sensitive Classification"

18 / 18 papers shown
Title
On The Statistical Complexity of Offline Decision-Making
On The Statistical Complexity of Offline Decision-Making
Thanh Nguyen-Tang
R. Arora
OffRL
48
1
0
10 Jan 2025
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
42
15
0
05 Mar 2023
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning
  for Salient Object Detection
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection
Zhenyu Wu
Lin Wang
Wen Wang
Qing Xia
Chenglizhao Chen
Aimin Hao
Shuo Li
AAML
43
5
0
13 Dec 2022
Promises and Pitfalls of Threshold-based Auto-labeling
Promises and Pitfalls of Threshold-based Auto-labeling
Harit Vishwakarma
Heguang Lin
Frederic Sala
Ramya Korlakai Vinayak
34
9
0
22 Nov 2022
Making Decisions under Outcome Performativity
Making Decisions under Outcome Performativity
Michael P. Kim
Juan C. Perdomo
48
19
0
04 Oct 2022
Sample Efficient Learning of Predictors that Complement Humans
Sample Efficient Learning of Predictors that Complement Humans
Mohammad-Amin Charusaie
Hussein Mozannar
David Sontag
Samira Samadi
41
32
0
19 Jul 2022
Black-box Generalization of Machine Teaching
Black-box Generalization of Machine Teaching
Xiaofeng Cao
Yaming Guo
Ivor W. Tsang
James T. Kwok
28
0
0
30 Jun 2022
Efficient Active Learning with Abstention
Efficient Active Learning with Abstention
Yinglun Zhu
Robert D. Nowak
49
11
0
31 Mar 2022
Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries
Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries
Nika Haghtalab
Yanjun Han
Abhishek Shetty
Kunhe Yang
38
23
0
17 Feb 2022
Efficient First-Order Contextual Bandits: Prediction, Allocation, and
  Triangular Discrimination
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
Dylan J. Foster
A. Krishnamurthy
48
43
0
05 Jul 2021
Improved Algorithms for Efficient Active Learning Halfspaces with
  Massart and Tsybakov noise
Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov noise
Chicheng Zhang
Yinan Li
27
24
0
10 Feb 2021
Active Learning under Label Shift
Active Learning under Label Shift
Eric Zhao
Anqi Liu
Anima Anandkumar
Yisong Yue
27
26
0
16 Jul 2020
Batch Decorrelation for Active Metric Learning
Batch Decorrelation for Active Metric Learning
Priyadarshini Kumari
Ritesh Goru
Siddhartha Chaudhuri
Subhasis Chaudhuri
21
7
0
20 May 2020
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for
  Contextual Bandits under Realizability
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability
D. Simchi-Levi
Yunzong Xu
OffRL
47
107
0
28 Mar 2020
Deep Active Learning for Remote Sensing Object Detection
Deep Active Learning for Remote Sensing Object Detection
Zhenshen Qu
Jingda Du
Yong Cao
Qiuyu Guan
Pengbo Zhao
ObjD
24
17
0
17 Mar 2020
CEREALS - Cost-Effective REgion-based Active Learning for Semantic
  Segmentation
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation
Radek Mackowiak
Philip Lenz
Omair Ghori
Ferran Diego
O. Lange
Carsten Rother
39
108
0
23 Oct 2018
Practical Contextual Bandits with Regression Oracles
Practical Contextual Bandits with Regression Oracles
Dylan J. Foster
Alekh Agarwal
Miroslav Dudík
Haipeng Luo
Robert Schapire
14
124
0
03 Mar 2018
Active Learning with Logged Data
Active Learning with Logged Data
Songbai Yan
Kamalika Chaudhuri
T. Javidi
22
27
0
25 Feb 2018
1