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An Overview of Machine Teaching

An Overview of Machine Teaching

Xiaojin Zhu
Adish Singla
Sandra Zilles
Anna N. Rafferty
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Papers citing "An Overview of Machine Teaching"

15 / 15 papers shown
Title
Nonparametric Teaching for Graph Property Learners
Nonparametric Teaching for Graph Property Learners
Chen Zhang
Weixin Bu
Zhaochun Ren
Ziyue Liu
Yik-Chung Wu
Ngai Wong
58
0
0
20 May 2025
The Complexity of Learning Sparse Superposed Features with Feedback
The Complexity of Learning Sparse Superposed Features with Feedback
Akash Kumar
355
0
0
08 Feb 2025
Reinforcement Teaching
Reinforcement Teaching
Alex Lewandowski
Calarina Muslimani
Dale Schuurmans
Matthew E. Taylor
Jun Luo
112
1
0
28 Jan 2025
Training Set Debugging Using Trusted Items
Training Set Debugging Using Trusted Items
Xuezhou Zhang
Xiaojin Zhu
Stephen J. Wright
35
73
0
24 Jan 2018
Optimizing Human Learning
Optimizing Human Learning
Behzad Tabibian
U. Upadhyay
A. De
Ali Zarezade
Bernhard Schölkopf
Manuel Gomez Rodriguez
26
6
0
05 Dec 2017
Machine Teaching: A New Paradigm for Building Machine Learning Systems
Machine Teaching: A New Paradigm for Building Machine Learning Systems
Patrice Y. Simard
Saleema Amershi
D. M. Chickering
Alicia Edelman Pelton
S. Ghorashi
...
Gonzalo A. Ramos
Jina Suh
J. Verwey
Mo Wang
J. Wernsing
HAI
34
176
0
21 Jul 2017
Iterative Machine Teaching
Iterative Machine Teaching
Weiyang Liu
Bo Dai
Ahmad Humayun
C. Tay
Chen Yu
Linda B. Smith
James M. Rehg
Le Song
80
142
0
30 May 2017
Active classification with comparison queries
Active classification with comparison queries
D. Kane
Shachar Lovett
Shay Moran
Jiapeng Zhang
VLM
39
67
0
11 Apr 2017
Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes
Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes
Lunjia Hu
Ruihan Wu
Tianhong Li
Liwei Wang
LRM
CoGe
23
16
0
18 Feb 2017
Preference-based Teaching
Preference-based Teaching
Ziyuan Gao
Christoph Ries
H. Simon
Sandra Zilles
23
39
0
06 Feb 2017
Interactive Learning from Multiple Noisy Labels
Interactive Learning from Multiple Noisy Labels
Shankar Vembu
Sandra Zilles
NoLa
24
8
0
24 Jul 2016
The Teaching Dimension of Linear Learners
The Teaching Dimension of Linear Learners
Ji Liu
Xiaojin Zhu
32
65
0
07 Dec 2015
Near-Optimally Teaching the Crowd to Classify
Near-Optimally Teaching the Crowd to Classify
Adish Singla
Ilija Bogunovic
Gábor Bartók
Amin Karbasi
Andreas Krause
35
127
0
10 Feb 2014
Machine Teaching for Bayesian Learners in the Exponential Family
Machine Teaching for Bayesian Learners in the Exponential Family
Xiaojin Zhu
43
89
0
20 Jun 2013
Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization
Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization
Daniel Golovin
Andreas Krause
125
600
0
21 Mar 2010