Strategies for Conceptual Change in Convolutional Neural Networks

v1v2 (latest)

Strategies for Conceptual Change in Convolutional Neural Networks

5 November 2017

Carlos Eduardo Cancino-Chacón

ArXiv (abs)PDF HTML

Papers citing "Strategies for Conceptual Change in Convolutional Neural Networks"

7 / 7 papers shown

Title
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 182 7,678 0 22 Sep 2015
Equilibrated adaptive learning rates for non-convex optimization Yann N. Dauphin H. D. Vries Yoshua Bengio ODL 90 377 0 15 Feb 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 134 12,272 0 19 Dec 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 465 7,673 0 03 Jul 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 296 12,467 0 24 Jun 2012
Domain Adaptation for Statistical Classifiers Hal Daumé D. Marcu OOD 109 912 0 28 Sep 2011
Frustratingly Easy Domain Adaptation Hal Daumé 128 1,800 0 10 Jul 2009