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"

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Title
Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning Bao Wang Stanley J. Osher AAML AI4CE 77 10 0 16 Jul 2019
Voice Pathology Detection Using Deep Learning: a Preliminary Study Pavol Harar J. B. Alonso Jirí Mekyska Z. Galaz Radim Burget Z. Smékal 41 98 0 12 Jul 2019
Optimized Sharing of Coefficients in Parallel Filter Banks M. T. Arslan Onur Yorulmaz E. Atilgan 17 0 0 11 Jul 2019
Adaptive Weighting Depth-variant Deconvolution of Fluorescence Microscopy Images with Convolutional Neural Network Da He De Cai Jiasheng Zhou Jiajia Luo Sung-Liang Chen MDE 18 2 0 07 Jul 2019
Simple vs complex temporal recurrences for video saliency prediction Panagiotis Linardos Eva Mohedano J. Nieto Noel E. O'Connor Xavier Giró-i-Nieto Kevin McGuinness FAtt 95 89 0 03 Jul 2019
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms Henry B. Moss Andrew Moore David S. Leslie Paul Rayson 51 5 0 28 Jun 2019
Defending Adversarial Attacks by Correcting logits Yifeng Li Lingxi Xie Ya Zhang Rui Zhang Yanfeng Wang Qi Tian AAML 39 5 0 26 Jun 2019
The NN-Stacking: Feature weighted linear stacking through neural networks Victor Coscrato M. Inácio Rafael Izbicki 22 20 0 24 Jun 2019
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks Adam Byerly T. Kalganova 61 13 0 20 Jun 2019
A simple and effective postprocessing method for image classification Yan Liu Yun Li Yunhao Yuan Jipeng Qiang 21 1 0 19 Jun 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification Zhiquan Ye Zhenhua Ling 84 136 0 16 Jun 2019
Mixture separability loss in a deep convolutional network for image classification T. Do Cheng-Bin Jin Hakil Kim Van Huan Nguyen 35 2 0 16 Jun 2019
Machine Learning Approach to Earthquake Rupture Dynamics S. Ahamed E. Daub AI4CE 26 2 0 14 Jun 2019
The Generalization-Stability Tradeoff In Neural Network Pruning Brian Bartoldson Ari S. Morcos Adrian Barbu G. Erlebacher 94 76 0 09 Jun 2019
Reliable training and estimation of variance networks N. Detlefsen Martin Jørgensen Søren Hauberg UQCV 124 89 0 04 Jun 2019
Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis Jialong Tang Ziyao Lu Jinsong Su Yubin Ge Linfeng Song Le Sun Jiebo Luo 83 85 0 04 Jun 2019
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization Ikuro Sato Kohta Ishikawa Guoqing Liu Masayuki Tanaka 35 7 0 04 Jun 2019
Learning Sparse Networks Using Targeted Dropout Aidan Gomez Ivan Zhang Siddhartha Rao Kamalakara Divyam Madaan Kevin Swersky Y. Gal Geoffrey E. Hinton 96 98 0 31 May 2019
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends Saptarshi Sengupta Sanchita Basak P. Saikia Sayak Paul Vasilios Tsalavoutis Frederick Ditliac Atiah V. Ravi R. Peters AI4CE 169 347 0 30 May 2019
A survey of Object Classification and Detection based on 2D/3D data Xiaoke Shen 3DPC 56 26 0 29 May 2019
Deep-Learning-Based Audio-Visual Speech Enhancement in Presence of Lombard Effect Daniel Michelsanti Zheng-Hua Tan S. Sigurðsson Jesper Jensen 83 36 0 29 May 2019
A Cross-Domain Transferable Neural Coherence Model Peng Xu H. Saghir Jin Sung Kang Teng Long A. Bose Yanshuai Cao Jackie C.K. Cheung 109 46 0 28 May 2019
On Dropout and Nuclear Norm Regularization Poorya Mianjy R. Arora 143 23 0 28 May 2019
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization Santiago Gonzalez Risto Miikkulainen 91 77 0 27 May 2019
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting Xu Geng Xiyu Wu Lingyu Zhang Qiang Yang Yan Liu Jieping Ye AI4TS 54 32 0 27 May 2019
ProbAct: A Probabilistic Activation Function for Deep Neural Networks Kumar Shridhar JoonHo Lee Hideaki Hayashi Purvanshi Mehta Brian Kenji Iwana Seokjun Kang S. Uchida Sheraz Ahmed Andreas Dengel DiffM AAML 52 32 0 26 May 2019
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers Liwei Wu Shuqing Li Cho-Jui Hsieh James Sharpnack 84 33 0 25 May 2019
How degenerate is the parametrization of neural networks with the ReLU activation function? Julius Berner Dennis Elbrächter Philipp Grohs ODL 103 28 0 23 May 2019
Multi-Sample Dropout for Accelerated Training and Better Generalization H. Inoue 106 69 0 23 May 2019
AMSI-Based Detection of Malicious PowerShell Code Using Contextual Embeddings Amir Rubin Shay Kels Danny Hendler 42 2 0 23 May 2019
Proprioceptive Robot Collision Detection through Gaussian Process Regression Alberto Dalla Libera E. Tosello G. Pillonetto Stefano Ghidoni R. Carli 11 10 0 21 May 2019
Predicting TED Talk Ratings from Language and Prosody Md. Iftekhar Tanveer Md. Kamrul Hassan D. Gildea Ehsan Hoque AI4TS 47 2 0 21 May 2019
Catastrophic forgetting: still a problem for DNNs Benedikt Pfülb A. Gepperth Saad Abdullah André Kilian CLL 46 22 0 20 May 2019
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative Shunsuke Kitada Hitoshi Iyatomi Yoshifumi Seki 26 8 0 17 May 2019
Orthogonal Deep Neural Networks Kui Jia Shuai Li Yuxin Wen Tongliang Liu Dacheng Tao 102 134 0 15 May 2019
Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning Sara Elkerdawy Hong Zhang Nilanjan Ray MDE VLM 60 20 0 13 May 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges Rob Ashmore R. Calinescu Colin Paterson AI4TS 73 119 0 10 May 2019
Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN Dongwook Lee Won-Jin Moon J. C. Ye GAN MedIm 79 8 0 10 May 2019
Advancements in Image Classification using Convolutional Neural Network F. Sultana Abu Sufian P. Dutta 66 275 0 08 May 2019
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks Chunxu Zhang Jiaxu Cui Bo Yang 61 3 0 06 May 2019
GaborNet: Gabor filters with learnable parameters in deep convolutional neural networks Andrey Sergeevich Alekseev Anatoly Bobe 40 71 0 30 Apr 2019
Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks Yichen Zhang Shanshan Jia Yajing Zheng Zhaofei Yu Yonghong Tian Siwei Ma Tiejun Huang Jian K. Liu 63 42 0 30 Apr 2019
Using Context Information to Enhance Simple Question Answering Lin Li Mengjing Zhang Zhaohui Chao Jianwen Xiang 28 11 0 27 Apr 2019
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 80 150 0 25 Apr 2019
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers Kui Jia Jiehong Lin Mingkui Tan Dacheng Tao 3DV 60 32 0 25 Apr 2019
Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation Yuzhou Liu DeLiang Wang 91 158 0 25 Apr 2019
Toponym Identification in Epidemiology Articles - A Deep Learning Approach M. Davari Leila Kosseim Tien D. Bui 23 5 0 24 Apr 2019
Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks Shuailong Liang Olivia Nicol Yue Zhang FAtt 54 5 0 24 Apr 2019
An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing Martin Schmitt Sahand Sharifzadeh Volker Tresp Hinrich Schütze 77 5 0 20 Apr 2019
Clause-Wise and Recursive Decoding for Complex and Cross-Domain Text-to-SQL Generation Dongjun Lee 41 3 0 18 Apr 2019