Maxout Networks

18 February 2013

Aaron Courville

Papers citing "Maxout Networks"

50 / 810 papers shown

Title
Activation Functions in Artificial Neural Networks: A Systematic Overview Johannes Lederer FAtt AI4CE 16 46 0 25 Jan 2021
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations I. Sledge José C. Príncipe 25 1 0 18 Jan 2021
PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search A. Rorabaugh Silvina Caíno-Lores Michael R. Wyatt Travis Johnston M. Taufer 11 2 0 11 Jan 2021
Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines Aidan Kehoe P. Wittek Yanbo Xue Alejandro Pozas-Kerstjens AAML 29 7 0 21 Dec 2020
A new semi-supervised self-training method for lung cancer prediction Kelvin Shak M. Al-Shabi Andre Liew B. Lan W. Chan K. Ng Maxine Tan 19 3 0 17 Dec 2020
Revisiting "Qualitatively Characterizing Neural Network Optimization Problems" Jonathan Frankle 14 24 0 12 Dec 2020
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 119 95 0 10 Dec 2020
Towards Repairing Neural Networks Correctly Guoliang Dong Jun Sun Jingyi Wang Xinyu Wang Ting Dai 6 23 0 03 Dec 2020
Neural Teleportation M. Armenta Thierry Judge Nathan Painchaud Youssef Skandarani Carl Lemaire Gabriel Gibeau Sanchez Philippe Spino Pierre-Marc Jodoin 17 15 0 02 Dec 2020
Batch Normalization with Enhanced Linear Transformation Yuhui Xu Lingxi Xie Cihang Xie Jieru Mei Siyuan Qiao Wei Shen H. Xiong Alan Yuille 11 0 0 28 Nov 2020
Extreme Value Preserving Networks Mingjie Sun Jianguo Li Changshui Zhang AAML MDE 6 0 0 17 Nov 2020
Gradient Episodic Memory with a Soft Constraint for Continual Learning Guannan Hu Wu Zhang Hu Ding Wenhao Zhu CLL 17 11 0 16 Nov 2020
Advances in the training, pruning and enforcement of shape constraints of Morphological Neural Networks using Tropical Algebra Nikolaos Dimitriadis Petros Maragos 6 9 0 15 Nov 2020
Linear Dilation-Erosion Perceptron Trained Using a Convex-Concave Procedure Angelica Lourencco Oliveira Marcos Eduardo Valle 64 4 0 11 Nov 2020
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks Zhiqi Bu Shiyun Xu Kan Chen 25 17 0 25 Oct 2020
Deep Learning in Ultrasound Elastography Imaging Hongliang Li Manish Bhatt Zhen Qu Shiming Zhang Martin C. Hartel A. Khademhosseini G. Cloutier 6 0 0 14 Oct 2020
Improving Network Slimming with Nonconvex Regularization Kevin Bui Fredrick Park Shuai Zhang Y. Qi Jack Xin 16 9 0 03 Oct 2020
Message Passing Neural Processes Ben Day Cătălina Cangea Arian R. Jamasb Pietro Lió 27 11 0 29 Sep 2020
Quantal synaptic dilution enhances sparse encoding and dropout regularisation in deep networks Gardave S. Bhumbra 6 0 0 28 Sep 2020
Two-stream Encoder-Decoder Network for Localizing Image Forgeries A. Mazumdar P. Bora 16 11 0 27 Sep 2020
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles Jingda Guo Dominic Carrillo Sihai Tang Qi Chen Qing Yang Song Fu Xi Wang Nannan Wang P. Palacharla 3DPC 32 47 0 24 Sep 2020
Early detection of the advanced persistent threat attack using performance analysis of deep learning Javad Hassannataj Joloudari Mojtaba Haderbadi Amir Mashmool Mohammad Ghasemigol Shahab S. Band Amir H. Mosavi 13 57 0 19 Sep 2020
Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification Chuan-Xian Ren Pengfei Ge D. Dai Hong Yan 17 15 0 24 Aug 2020
Intelligent Matrix Exponentiation T. Fischbacher Iulia Comsa Krzysztof Potempa Moritz Firsching Luca Versari J. Alakuijala 6 2 0 10 Aug 2020
From the logistic-sigmoid to nlogistic-sigmoid: modelling the COVID-19 pandemic growth Oluwasegun Ayokunle Somefun K. Akingbade F. Dahunsi 9 0 0 06 Aug 2020
Finite Versus Infinite Neural Networks: an Empirical Study Jaehoon Lee S. Schoenholz Jeffrey Pennington Ben Adlam Lechao Xiao Roman Novak Jascha Narain Sohl-Dickstein 17 207 0 31 Jul 2020
Regularized Flexible Activation Function Combinations for Deep Neural Networks Renlong Jie Junbin Gao A. Vasnev Minh-Ngoc Tran AI4CE 23 6 0 26 Jul 2020
Deep Active Learning by Model Interpretability Qiang Liu Zhaocheng Liu Xiaofang Zhu Yeliang Xiu 8 4 0 23 Jul 2020
Funnel Activation for Visual Recognition Ningning Ma Xinming Zhang Jian Sun ObjD 61 85 0 23 Jul 2020
Adma: A Flexible Loss Function for Neural Networks A. Shrivastava 6 1 0 23 Jul 2020
Sequential Routing Framework: Fully Capsule Network-based Speech Recognition Kyungmin Lee Hyunwhan Joe Hyeon-Seon Lim Kwangyoun Kim Sungsoo Kim C. Han H. Kim 11 5 0 23 Jul 2020
Probabilistic bounds on neuron death in deep rectifier networks Blaine Rister D. Rubin 8 1 0 13 Jul 2020
Capturing scattered discriminative information using a deep architecture in acoustic scene classification Hye-jin Shim Jee-weon Jung Ju-ho Kim Ha-Jin Yu 13 3 0 09 Jul 2020
Maximum-and-Concatenation Networks Xingyu Xie Hao Kong Jianlong Wu Wayne Zhang Guangcan Liu Zhouchen Lin 83 2 0 09 Jul 2020
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture Jinhua Liang Tao Zhang Guoqing Feng 9 16 0 02 Jul 2020
Enabling Continual Learning with Differentiable Hebbian Plasticity Vithursan Thangarasa Thomas Miconi Graham W. Taylor CLL 23 14 0 30 Jun 2020
AReLU: Attention-based Rectified Linear Unit Dengsheng Chen Jun Li Kai Xu 22 20 0 24 Jun 2020
On sparse connectivity, adversarial robustness, and a novel model of the artificial neuron Sergey Bochkanov AAML 14 0 0 16 Jun 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness Mohammadamin Tavakoli Forest Agostinelli Pierre Baldi AAML FAtt 36 39 0 16 Jun 2020
Inner Ensemble Networks: Average Ensemble as an Effective Regularizer Abduallah A. Mohamed Muhammed Mohaimin Sadiq Ehab Albadawy Mohamed Elhoseiny Christian G. Claudel 19 0 0 15 Jun 2020
In Proximity of ReLU DNN, PWA Function, and Explicit MPC Saman Fahandezh-Saadi M. Tomizuka 16 4 0 09 Jun 2020
Overcoming Overfitting and Large Weight Update Problem in Linear Rectifiers: Thresholded Exponential Rectified Linear Units V. Pandey 6 4 0 04 Jun 2020
Robust Sampling in Deep Learning Aurora Cobo Aguilera Antonio Artés-Rodríguez Fernando Pérez-Cruz Pablo Martínez Olmos OOD 9 1 0 04 Jun 2020
On the Number of Linear Regions of Convolutional Neural Networks Huan Xiong Lei Huang Mengyang Yu Li Liu Fan Zhu Ling Shao MLT 27 68 0 01 Jun 2020
Transferring Inductive Biases through Knowledge Distillation Samira Abnar Mostafa Dehghani Willem H. Zuidema 25 57 0 31 May 2020
Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size Christoph Hertrich M. Skutella 50 21 0 28 May 2020
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs Dong Bok Lee Seanie Lee Woo Tae Jeong Donghwan Kim Sung Ju Hwang 24 71 0 28 May 2020
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network David Gschwend 27 64 0 14 May 2020
Text Recognition in the Wild: A Survey Xiaoxue Chen Lianwen Jin Yuanzhi Zhu Canjie Luo Tianwei Wang 3DV 27 102 0 07 May 2020
A survey on modern trainable activation functions Andrea Apicella Francesco Donnarumma Francesco Isgrò R. Prevete 22 365 0 02 May 2020