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1603.05201
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Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
16 March 2016
Wenling Shang
Kihyuk Sohn
Diogo Almeida
Honglak Lee
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Papers citing
"Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units"
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Directions of Curvature as an Explanation for Loss of Plasticity
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Maintaining Plasticity in Continual Learning via Regenerative Regularization
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Learn to Enhance the Negative Information in Convolutional Neural Network
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18 Jun 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
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A Comparative Study of Face Detection Algorithms for Masked Face Detection
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Danush Shekar
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18 May 2023
Densely Connected
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Devanshu Agrawal
James Ostrowski
AI4CE
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08 Mar 2023
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks
Fenglei Fan
Yingxin Li
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23 Jan 2023
Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
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Zhiyu Zhu
Junhui Hou
Hui Liu
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Learnable Heterogeneous Convolution: Learning both topology and strength
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Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework
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Wei Wu
Ying Yang
Fenglei Fan
T. Zeng
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11 Oct 2022
Dynamical Isometry for Residual Networks
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FaceTopoNet: Facial Expression Recognition using Face Topology Learning
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How important are activation functions in regression and classification? A survey, performance comparison, and future directions
Ameya Dilip Jagtap
George Karniadakis
AI4CE
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On the Number of Regions of Piecewise Linear Neural Networks
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Arian Etemadi
M. Unser
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17 Jun 2022
Most Activation Functions Can Win the Lottery Without Excessive Depth
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04 May 2022
Update Compression for Deep Neural Networks on the Edge
Bo Chen
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Gustavo E. A. P. A. Batista
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Activation Functions: Dive into an optimal activation function
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FAtt
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Training Thinner and Deeper Neural Networks: Jumpstart Regularization
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Camilo Rey
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Eloi Puertas
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RMNet: Equivalently Removing Residual Connection from Networks
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Hao Cheng
Jia-Xin Zhuang
Ke Li
Xing Sun
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Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs
David Bonet
Antonio Ortega
Javier Ruiz-Hidalgo
Sarath Shekkizhar
GNN
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Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark
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S. Singh
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Real Time Monocular Vehicle Velocity Estimation using Synthetic Data
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Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks
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Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
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MLP-Mixer: An all-MLP Architecture for Vision
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Jakob Uszkoreit
Mario Lucic
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Learning with Hyperspherical Uniformity
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Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition
Hengshun Zhou
Debin Meng
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Xiaojiang Peng
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Yu Qiao
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Unknown Presentation Attack Detection against Rational Attackers
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Review: Deep Learning in Electron Microscopy
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The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval
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Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets
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TAdam: A Robust Stochastic Gradient Optimizer
Wendyam Eric Lionel Ilboudo
Taisuke Kobayashi
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Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks
Yang Liu
Jianpeng Zhang
Chao Gao
Jinghua Qu
Lixin Ji
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10 Aug 2019
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu
Doyen Sahoo
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10 Aug 2019
Deep learning in ultrasound imaging
Ruud J. G. van Sloun
Regev Cohen
Yonina C. Eldar
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Large Scale Adversarial Representation Learning
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Karen Simonyan
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A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings
W. B. Daniel
Enoch Yeung
18
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Parameter-Free Spatial Attention Network for Person Re-Identification
Haoran Wang
Yue Fan
Zexin Wang
L. Jiao
Bernt Schiele
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29 Nov 2018
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
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06 Sep 2018
Object Detection with Deep Learning: A Review
Zhong-Qiu Zhao
Peng Zheng
Shou-tao Xu
Xindong Wu
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Magnetic Resonance Spectroscopy Quantification using Deep Learning
Nima Hatami
M. Sdika
H. Ratiney
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Parsimonious Bayesian deep networks
Mingyuan Zhou
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22 May 2018
Speaker-independent raw waveform model for glottal excitation
Lauri Juvela
Vassilis Tsiaras
Bajibabu Bollepalli
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Junichi Yamagishi
P. Alku
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Deep Facial Expression Recognition: A Survey
Shan Li
Weihong Deng
151
1,280
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Improving GANs Using Optimal Transport
Tim Salimans
Han Zhang
Alec Radford
Dimitris N. Metaxas
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322
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15 Mar 2018
Exponential Discriminative Metric Embedding in Deep Learning
Bowen Wu
Zhangling Chen
Jun Wang
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07 Mar 2018
L2-Nonexpansive Neural Networks
Haifeng Qian
M. Wegman
22
74
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22 Feb 2018
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