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Between Progress and Potential Impact of AI: the Neglected Dimensions

2 June 2018

Fernando Martínez-Plumed

José Hernández-Orallo

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Papers citing "Between Progress and Potential Impact of AI: the Neglected Dimensions"

24 / 24 papers shown

Title
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 181 5,000 0 30 Jul 2018
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy Zheng Qin Zhaoning Zhang Xiaotao Chen Yuxing Peng MQ 57 104 0 11 Feb 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 175 3,035 0 05 Feb 2018
Deep Learning: A Critical Appraisal G. Marcus HAI VLM 131 1,042 0 02 Jan 2018
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 150 1,781 0 05 Dec 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 121 1,961 0 19 Sep 2017
Count-Based Exploration in Feature Space for Reinforcement Learning Jarryd Martin S. N. Sasikumar Tom Everitt Marcus Hutter 66 124 0 25 Jun 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi C. Young Nishant Patil David Patterson Gaurav Agrawal ... Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox Doe Hyun Yoon 235 4,638 0 16 Apr 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 104 1,541 0 10 Mar 2017
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 117 2,008 0 14 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 324 2,083 0 07 Jun 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 176 1,483 0 06 Jun 2016
An Analysis of Deep Neural Network Models for Practical Applications A. Canziani Adam Paszke Eugenio Culurciello 90 1,168 0 24 May 2016
Learning values across many orders of magnitude H. V. Hasselt A. Guez Matteo Hessel Volodymyr Mnih David Silver 65 170 0 24 Feb 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 153 7,495 0 24 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 204 8,875 0 04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,764 0 20 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 223 3,797 0 18 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 170 7,658 0 22 Sep 2015
Massively Parallel Methods for Deep Reinforcement Learning Arun Nair Praveen Srinivasan Sam Blackwell Cagdas Alcicek Rory Fearon ... Stig Petersen Shane Legg Volodymyr Mnih Koray Kavukcuoglu David Silver OffRL AI4CE GNN 99 504 0 15 Jul 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,261 0 19 Dec 2013
Network In Network Min Lin Qiang Chen Shuicheng Yan 294 6,283 0 16 Dec 2013
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 120 3,020 0 19 Jul 2012
Universal Intelligence: A Definition of Machine Intelligence Shane Legg Marcus Hutter 103 643 0 20 Dec 2007