Improving neural networks by preventing co-adaptation of feature detectors

3 July 2012

Papers citing "Improving neural networks by preventing co-adaptation of feature detectors"

50 / 1,729 papers shown

Title
Efficiently Guiding Imitation Learning Agents with Human Gaze Akanksha Saran Ruohan Zhang Elaine Schaertl Short S. Niekum 77 16 0 28 Feb 2020
Advances in Collaborative Filtering and Ranking Liwei Wu 42 7 0 27 Feb 2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks Yehui Tang Yunhe Wang Yixing Xu Boxin Shi Chao Xu Chunjing Xu Chang Xu 69 38 0 23 Feb 2020
Learnable Bernoulli Dropout for Bayesian Deep Learning Shahin Boluki Randy Ardywibowo Siamak Zamani Dadaneh Mingyuan Zhou Xiaoning Qian BDL 63 34 0 12 Feb 2020
Think Global, Act Local: Relating DNN generalisation and node-level SNR Paul Norridge 29 1 0 11 Feb 2020
Time-aware Large Kernel Convolutions Vasileios Lioutas Yuhong Guo AI4TS 97 29 0 08 Feb 2020
Task Augmentation by Rotating for Meta-Learning Jialin Liu Chia-Wen Lin Chih-Min Lin 119 33 0 08 Feb 2020
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness Ting-Wu Chin Cha Zhang Diana Marculescu AAML 26 1 0 07 Feb 2020
Revisiting Spatial Invariance with Low-Rank Local Connectivity Gamaleldin F. Elsayed Prajit Ramachandran Jonathon Shlens Simon Kornblith 103 44 0 07 Feb 2020
Almost Sure Convergence of Dropout Algorithms for Neural Networks Albert Senen-Cerda J. Sanders 72 8 0 06 Feb 2020
Arabic Diacritic Recovery Using a Feature-Rich biLSTM Model Kareem Darwish Ahmed Abdelali Hamdy Mubarak Mohamed I. Eldesouki 41 22 0 04 Feb 2020
Twitter Bot Detection Using Bidirectional Long Short-term Memory Neural Networks and Word Embeddings Feng Wei U. T. Nguyen 59 106 0 03 Feb 2020
Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization Santiago Gonzalez Risto Miikkulainen 55 9 0 31 Jan 2020
MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1 error rate. Ensembles overview and proposal Siham Tabik R. F. Alvear-Sandoval María M. Ruiz J. Sancho-Gómez A. Figueiras-Vidal Francisco Herrera 115 34 0 30 Jan 2020
No Routing Needed Between Capsules Adam Byerly T. Kalganova I. Dear 131 67 0 24 Jan 2020
Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods Yahia Saeed Assiri BDL 109 23 0 24 Jan 2020
Audiovisual SlowFast Networks for Video Recognition Fanyi Xiao Yong Jae Lee Kristen Grauman Jitendra Malik Christoph Feichtenhofer 280 209 0 23 Jan 2020
Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard Zoltán Tüske G. Saon Kartik Audhkhasi Brian Kingsbury BDL 101 69 0 20 Jan 2020
Diabetic Retinopathy detection by retinal image recognizing Gilberto Luis De Conto Junior 17 0 0 14 Jan 2020
DeepQuarantine for Suspicious Mail Nikita Benkovich Roman Dedenok Dmitry Golubev 16 3 0 13 Jan 2020
Solving inverse-PDE problems with physics-aware neural networks Samira Pakravan Pouria A. Mistani M. Aragon-Calvo Frédéric Gibou AI4CE 42 55 0 10 Jan 2020
Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction Zhen Wu Fei Zhao Xinyu Dai Shujian Huang Jiajun Chen 96 80 0 07 Jan 2020
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters Ziming Zhang Wenchi Ma Yuanwei Wu Guanghui Wang 85 10 0 05 Jan 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 122 527 0 23 Dec 2019
Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification Bennet Breier A. Onken 36 4 0 20 Dec 2019
A Survey on Distributed Machine Learning Joost Verbraeken Matthijs Wolting Jonathan Katzy Jeroen Kloppenburg Tim Verbelen Jan S. Rellermeyer OOD 122 715 0 20 Dec 2019
Lifelong learning for text retrieval and recognition in historical handwritten document collections Lambert Schomaker 18 6 0 11 Dec 2019
Learning Sparse Representations Incrementally in Deep Reinforcement Learning J. F. Hernandez-Garcia R. Sutton CLL 20 9 0 09 Dec 2019
Robust Deep Graph Based Learning for Binary Classification Minxiang Ye V. Stanković L. Stanković Gene Cheung OOD 76 12 0 06 Dec 2019
Merging External Bilingual Pairs into Neural Machine Translation Tao Wang Shaohui Kuang Deyi Xiong António Branco 31 10 0 02 Dec 2019
Image Based Identification of Ghanaian Timbers Using the XyloTron: Opportunities, Risks and Challenges Prabu Ravindran E. Ebanyenle Alberta Asi Ebeheakey Kofi Bonsu Abban Ophilious Lambog Richard Soares Adriana Costa A. Wiedenhoeft 22 18 0 01 Dec 2019
Continuous Dropout Xu Shen Xinmei Tian Tongliang Liu Fang Xu Dacheng Tao 49 67 0 28 Nov 2019
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework Tobias Schlosser Michael Friedrich Danny Kowerko 136 15 0 25 Nov 2019
Random projections: data perturbation for classification problems T. Cannings 58 20 0 25 Nov 2019
DeepMimic: Mentor-Student Unlabeled Data Based Training Itay Mosafi E. David N. Netanyahu 59 6 0 24 Nov 2019
Regularizing Neural Networks by Stochastically Training Layer Ensembles Alex Labach S. Valaee FedML 13 2 0 21 Nov 2019
Estimating uncertainty of earthquake rupture using Bayesian neural network S. Ahamed Md Mesbah Uddin 33 5 0 21 Nov 2019
Discrete and Continuous Deep Residual Learning Over Graphs Pedro H. C. Avelar Anderson R. Tavares Marco Gori Luís C. Lamb GNN 67 20 0 21 Nov 2019
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy Ke Sun Bin Yu Zhouchen Lin Zhanxing Zhu 132 5 0 21 Nov 2019
Multi-Label Classification with Label Graph Superimposing Ya Wang Dongliang He Fu Li Xiang Long Zhichao Zhou Jinwen Ma Shilei Wen 82 170 0 21 Nov 2019
Table-Of-Contents generation on contemporary documents Najah-Imane Bentabet Rémi Juge Sira Ferradans 3DGS 29 17 0 20 Nov 2019
Radar Emitter Classification with Attribute-specific Recurrent Neural Networks Paolo Notaro Magdalini Paschali Carsten Hopke David Wittmann Nassir Navab 52 11 0 18 Nov 2019
RotationOut as a Regularization Method for Neural Network Kaiqin Hu Barnabás Póczós 45 1 0 18 Nov 2019
An Efficient Hardware-Oriented Dropout Algorithm Y. J. Yeoh Takashi Morie H. Tamukoh 22 2 0 14 Nov 2019
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis Tianfu Li Zhibin Zhao Chuang Sun Li Cheng Xuefeng Chen Ruqaing Yan Ruize Gao 72 333 0 12 Nov 2019
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 129 144 0 02 Nov 2019
Document-level Neural Machine Translation with Associated Memory Network Shu Jiang Rui Wang Z. Li Masao Utiyama Kehai Chen Eiichiro Sumita Hai Zhao Bao-Liang Lu 72 3 0 31 Oct 2019
Adaptive Sampling for Stochastic Risk-Averse Learning Sebastian Curi Kfir Y. Levy Stefanie Jegelka Andreas Krause 156 54 0 28 Oct 2019
Inherent Weight Normalization in Stochastic Neural Networks Georgios Detorakis S. Dutta A. Khanna M. Jerry S. Datta Emre Neftci OOD 38 6 0 27 Oct 2019
Solving Optimization Problems through Fully Convolutional Networks: an Application to the Travelling Salesman Problem Zhengxuan Ling Xinyu Tao Yu Zhang Xi Chen 29 18 0 27 Oct 2019