One-shot Machine Teaching: Cost Very Few Examples to Converge Faster

13 December 2022

Ivor W Tsang

Papers citing "One-shot Machine Teaching: Cost Very Few Examples to Converge Faster"

29 / 29 papers shown

Title
Iterative Teaching by Label Synthesis Weiyang Liu Zhen Liu Hanchen Wang Liam Paull Bernhard Schölkopf Adrian Weller 89 16 0 27 Oct 2021
Commonsense Visual Sensemaking for Autonomous Driving: On Generalised Neurosymbolic Online Abduction Integrating Vision and Semantics Jakob Suchan M. Bhatt Srikrishna Varadarajan 26 30 0 28 Dec 2020
Intuitiveness in Active Teaching Jan Philip Göpfert Ulrike Kuhl L. Hindemith H. Wersing Barbara Hammer HAI 68 3 0 25 Dec 2020
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners Yun-Shiuan Chuang Xuezhou Zhang Yuzhe Ma Mark K. Ho Joseph L. Austerweil Xiaojin Zhu OffRL 41 7 0 05 Sep 2020
Iterative Data Programming for Expanding Text Classification Corpora Neil Rohit Mallinar Abhishek Shah T. Ho Rajendra Ugrani Ayush Gupta 14 9 0 04 Feb 2020
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes M. Bajracharya James Borders D. Helmick Thomas Kollar Michael Laskey ... A. Ochiai Josh Petersen K. Shankar Kevin Stone Yutaka Takaoka 33 30 0 30 Sep 2019
Interactive Teaching Algorithms for Inverse Reinforcement Learning Parameswaran Kamalaruban R. Devidze Volkan Cevher Adish Singla 68 64 0 28 May 2019
Robust Federated Training via Collaborative Machine Teaching using Trusted Instances Yufei Han Xiangliang Zhang FedML 19 9 0 08 May 2019
Iterative Classroom Teaching Teresa Yeo Parameswaran Kamalaruban Adish Singla Arpit Merchant Thibault Asselborn Louis Faucon P. Dillenbourg Volkan Cevher 69 19 0 08 Nov 2018
An Optimal Control Approach to Sequential Machine Teaching Laurent Lessard Xuezhou Zhang Xiaojin Zhu 84 35 0 15 Oct 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 236 353 0 12 Jun 2018
Teaching Multiple Concepts to a Forgetful Learner Anette Hunziker Yuxin Chen Oisin Mac Aodha Manuel Gomez Rodriguez Andreas Krause Pietro Perona Yisong Yue Adish Singla CLL 70 39 0 21 May 2018
Multi-level Semantic Feature Augmentation for One-shot Learning Z. Chen Yanwei Fu Yinda Zhang Yu-Gang Jiang Xiangyang Xue Leonid Sigal 33 234 0 15 Apr 2018
Machine Speech Chain with One-shot Speaker Adaptation Andros Tjandra S. Sakti Satoshi Nakamura 31 55 0 28 Mar 2018
An Overview of Machine Teaching Xiaojin Zhu Adish Singla Sandra Zilles Anna N. Rafferty 15 177 0 18 Jan 2018
Towards Black-box Iterative Machine Teaching Weiyang Liu Bo Dai Xingguo Li Zhen Liu James M. Rehg Le Song 29 56 0 21 Oct 2017
Iterative Machine Teaching Weiyang Liu Bo Dai Ahmad Humayun C. Tay Chen Yu Linda B. Smith James M. Rehg Le Song 68 142 0 30 May 2017
One-Shot Imitation Learning Yan Duan Marcin Andrychowicz Bradly C. Stadie Jonathan Ho Jonas Schneider Ilya Sutskever Pieter Abbeel Wojciech Zaremba OffRL 47 684 0 21 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 135 8,072 0 15 Mar 2017
Human Interaction with Recommendation Systems S. Schmit C. Riquelme 31 51 0 01 Mar 2017
Analysis of a Design Pattern for Teaching with Features and Labels Christopher Meek Patrice Y. Simard Xiaojin Zhu 23 5 0 18 Nov 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 195 7,286 0 13 Jun 2016
One-Shot Generalization in Deep Generative Models Danilo Jimenez Rezende S. Mohamed Ivo Danihelka Karol Gregor Daan Wierstra BDL VLM DRL LRM 79 254 0 16 Mar 2016
The Teaching Dimension of Linear Learners Ji Liu Xiaojin Zhu 20 65 0 07 Dec 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Alex Kendall Vijay Badrinarayanan R. Cipolla UQCV BDL 28 1,062 0 09 Nov 2015
Becoming the Expert - Interactive Multi-Class Machine Teaching Edward Johns Oisin Mac Aodha Gabriel J. Brostow 25 75 0 28 Apr 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 59 19,448 0 09 Mar 2015
Near-Optimally Teaching the Crowd to Classify Adish Singla Ilija Bogunovic Gábor Bartók Amin Karbasi Andreas Krause 23 127 0 10 Feb 2014
Machine Teaching for Bayesian Learners in the Exponential Family Xiaojin Zhu 34 89 0 20 Jun 2013