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Black-box Generalization of Machine Teaching

30 June 2022

Ivor W. Tsang

Papers citing "Black-box Generalization of Machine Teaching"

24 / 24 papers shown

Title
Distribution Matching for Machine Teaching Xiaofeng Cao Ivor W. Tsang 50 4 0 06 May 2021
Adaptive Region-Based Active Learning Corinna Cortes Giulia DeSalvo Claudio Gentile M. Mohri Ningshan Zhang OOD 38 19 0 18 Feb 2020
Domain Adaptation via Teacher-Student Learning for End-to-End Speech Recognition Zhong Meng Jinyu Li Yashesh Gaur Jiawei Liu 71 50 0 06 Jan 2020
ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation Yawar Siddiqui Julien P. C. Valentin Matthias Nießner 61 159 0 26 Nov 2019
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan O. Arik L. Davis Tomas Pfister 208 200 0 16 Oct 2019
Bayesian Batch Active Learning as Sparse Subset Approximation Robert Pinsler Jonathan Gordon Eric T. Nalisnick José Miguel Hernández-Lobato UQCV 47 132 0 06 Aug 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning Andreas Kirsch Joost R. van Amersfoort Y. Gal FedML 89 629 0 19 Jun 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 140 579 0 31 Mar 2019
Knockoff Nets: Stealing Functionality of Black-Box Models Tribhuvanesh Orekondy Bernt Schiele Mario Fritz MLAU 108 537 0 06 Dec 2018
Adversarial Teacher-Student Learning for Unsupervised Domain Adaptation Zhong Meng Jinyu Li Jiawei Liu Biing-Hwang B. Juang 63 95 0 02 Apr 2018
An Overview of Machine Teaching Xiaojin Zhu Adish Singla Sandra Zilles Anna N. Rafferty 89 178 0 18 Jan 2018
Towards Black-box Iterative Machine Teaching Weiyang Liu Bo Dai Xingguo Li Zhen Liu James M. Rehg Le Song 67 56 0 21 Oct 2017
Teacher-Student Curriculum Learning Tambet Matiisen Avital Oliver Taco S. Cohen John Schulman ODL 97 381 0 01 Jul 2017
Active Decision Boundary Annotation with Deep Generative Models Miriam W. Huijser Jan van Gemert 51 46 0 20 Mar 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 75 1,739 0 08 Mar 2017
Active Learning for Cost-Sensitive Classification A. Krishnamurthy Alekh Agarwal Tzu-Kuo Huang Hal Daumé John Langford 230 80 0 03 Mar 2017
The Teaching Dimension of Linear Learners Ji Liu Xiaojin Zhu 65 66 0 07 Dec 2015
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 102 1,372 0 09 Jul 2015
Beyond Disagreement-based Agnostic Active Learning Chicheng Zhang Kamalika Chaudhuri 167 86 0 10 Jul 2014
Efficient Active Learning of Halfspaces: an Aggressive Approach Alon Gonen Sivan Sabato Shai Shalev-Shwartz 483 42 0 17 Aug 2012
Active Learning Using Smooth Relative Regret Approximations with Applications Nir Ailon Ron Begleiter Esther Ezra 120 24 0 10 Oct 2011
Activized Learning: Transforming Passive to Active with Improved Label Complexity Steve Hanneke 79 55 0 08 Aug 2011
Near-Optimal Bayesian Active Learning with Noisy Observations Daniel Golovin Andreas Krause Debajyoti Ray 130 206 0 15 Oct 2010
Importance Weighted Active Learning A. Beygelzimer S. Dasgupta John Langford 95 364 0 29 Dec 2008