Pylearn2: a machine learning research library

20 August 2013

Papers citing "Pylearn2: a machine learning research library"

37 / 37 papers shown

Title
Unveiling the frontiers of deep learning: innovations shaping diverse domains Shams Forruque Ahmed Md. Sakib Bin Alam Maliha Kabir Shaila Afrin Sabiha Jannat Rafa Aanushka Mehjabin Amir H. Gandomi AI4CE 42 2 0 06 Sep 2023
Learning Invariant Representations with Missing Data Mark Goldstein J. Jacobsen O. Chau A. Saporta A. Puli Rajesh Ranganath Andrew C. Miller OOD 22 5 0 01 Dec 2021
Learning Distributed Representations from Reviews for Collaborative Filtering Amjad Almahairi Kyle Kastner Kyunghyun Cho Aaron Courville 18 110 0 18 Jun 2018
Interlinked Convolutional Neural Networks for Face Parsing Yisu Zhou Xiaolin Hu Bo Zhang CVBM 11 66 0 07 Jun 2018
A Generation Method of Immunological Memory in Clonal Selection Algorithm by using Restricted Boltzmann Machines Shin Kamada T. Ichimura 14 1 0 09 Apr 2018
A Survey on Deep Learning Methods for Robot Vision Javier Ruiz-del-Solar P. Loncomilla Naiomi Soto 31 60 0 28 Mar 2018
Loss-aware Weight Quantization of Deep Networks Lu Hou James T. Kwok MQ 35 127 0 23 Feb 2018
Deep Learning in the Automotive Industry: Applications and Tools André Luckow M. Cook Nathan Ashcraft Edwin Weill Emil Djerekarov Bennie Vorster 14 116 0 30 Apr 2017
A Robust Adaptive Stochastic Gradient Method for Deep Learning Çağlar Gülçehre Jose M. R. Sotelo Marcin Moczulski Yoshua Bengio ODL 16 25 0 02 Mar 2017
ShaResNet: reducing residual network parameter number by sharing weights Alexandre Boulch 26 26 0 28 Feb 2017
Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards Suchet Bargoti J. Underwood 43 407 0 25 Oct 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 42 1,842 0 22 Sep 2016
An Eigenshapes Approach to Compressed Signed Distance Fields and Their Utility in Robot Mapping D. Canelhas Erik Schaffernicht Todor Stoyanov A. Lilienthal Andrew J. Davison 11 10 0 08 Sep 2016
Deep neural networks are robust to weight binarization and other non-linear distortions P. Merolla R. Appuswamy John V. Arthur S. K. Esser D. Modha OOD MQ 25 96 0 07 Jun 2016
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 20 2,335 0 09 May 2016
Deep Learning in Bioinformatics Seonwoo Min Byunghan Lee Sungroh Yoon AI4CE 3DV 36 1,351 0 21 Mar 2016
Binarized Neural Networks Itay Hubara Daniel Soudry Ran El-Yaniv MQ 58 1,351 0 08 Feb 2016
A Unified Gradient Regularization Family for Adversarial Examples Chunchuan Lyu Kaizhu Huang Hai-Ning Liang AAML 6 207 0 19 Nov 2015
Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines Emre Neftci Bruno U. Pedroni Siddharth Joshi Maruan Al-Shedivat Gert Cauwenberghs 14 134 0 14 Nov 2015
Feature Representation in Convolutional Neural Networks Ben Athiwaratkun Keegan Kang FAtt SSL 18 75 0 08 Jul 2015
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 44 1,864 0 22 Jun 2015
Adaptive Normalized Risk-Averting Training For Deep Neural Networks Zhiguang Wang Tim Oates J. Lo 28 6 0 08 Jun 2015
Blocks and Fuel: Frameworks for deep learning B. V. Merrienboer Dzmitry Bahdanau Vincent Dumoulin Dmitriy Serdyuk David Warde-Farley J. Chorowski Yoshua Bengio MoE 25 188 0 01 Jun 2015
Improved Microaneurysm Detection using Deep Neural Networks Mrinal Haloi MedIm 22 133 0 17 May 2015
Difference Target Propagation Dong-Hyun Lee Saizheng Zhang Asja Fischer Yoshua Bengio AAML 23 346 0 23 Dec 2014
ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient Çağlar Gülçehre Marcin Moczulski Yoshua Bengio ODL 27 20 0 23 Dec 2014
Discovering Hidden Factors of Variation in Deep Networks Brian Cheung J. Livezey Arjun K. Bansal Bruno A. Olshausen DRL 37 193 0 20 Dec 2014
Visual Causal Feature Learning Krzysztof Chalupka Pietro Perona F. Eberhardt CML OOD 28 139 0 07 Dec 2014
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results J. Chorowski Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio 46 468 0 04 Dec 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 58 10,329 0 06 Nov 2014
Enhanced Higgs to $τ^+τ^-$ Searches with Deep Learning Pierre Baldi Peter Sadowski D. Whiteson 16 95 0 13 Oct 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 31 14,689 0 20 Jun 2014
An empirical analysis of dropout in piecewise linear networks David Warde-Farley Ian Goodfellow Aaron Courville Yoshua Bengio 51 106 0 21 Dec 2013
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods Jascha Narain Sohl-Dickstein Ben Poole Surya Ganguli ODL 58 125 0 09 Nov 2013
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks Çağlar Gülçehre Kyunghyun Cho Razvan Pascanu Yoshua Bengio 42 170 0 07 Nov 2013
Challenges in Representation Learning: A report on three machine learning contests Ian Goodfellow D. Erhan P. Carrier Aaron Courville M. Berk Mirza ... Jingjing Xie Lukasz Romaszko Bing Xu Chuang Zhang Yoshua Bengio CVBM 53 1,589 0 01 Jul 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012