Maxout Networks

18 February 2013

Aaron Courville

Papers citing "Maxout Networks"

50 / 810 papers shown

Title
Multi-Path Learnable Wavelet Neural Network for Image Classification D. D. N. D. Silva H. W. M. K. Vithanage K. Fernando I. Piyatilake 6 11 0 26 Aug 2019
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement Zhiqiang Shen Zhankui He Wanyun Cui Jiahui Yu Yutong Zheng Chenchen Zhu Marios Savvides AAML 17 5 0 22 Aug 2019
Adaptive Regularization of Labels Qianggang Ding Sifan Wu Hao Sun Jiadong Guo Shutao Xia ODL 16 29 0 15 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 29 44 0 10 Aug 2019
Biologically-inspired Salience Affected Artificial Neural Network (SANN) Leendert A. Remmelzwaal George F. R. Ellis J. Tapson Amit K Mishra 18 3 0 09 Aug 2019
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization Jung-Kyun Cho Junseok Kwon Byung-Woo Hong 28 1 0 23 Jul 2019
Light Multi-segment Activation for Model Compression Zhenhui Xu Guolin Ke Jia Zhang Jiang Bian Tie-Yan Liu 9 2 0 16 Jul 2019
Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning Bao Wang Stanley J. Osher AAML AI4CE 26 10 0 16 Jul 2019
Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks Alejandro Molina P. Schramowski Kristian Kersting ODL 23 77 0 15 Jul 2019
Quant GANs: Deep Generation of Financial Time Series Magnus Wiese R. Knobloch R. Korn Peter Kretschmer GAN AI4TS AIFin 22 273 0 15 Jul 2019
ACTNET: end-to-end learning of feature activations and multi-stream aggregation for effective instance image retrieval S. Husain Eng-Jon Ong M. Bober 6 23 0 12 Jul 2019
Sparsely Activated Networks Paschalis A. Bizopoulos D. Koutsouris 9 10 0 12 Jul 2019
Copula & Marginal Flows: Disentangling the Marginal from its Joint Magnus Wiese R. Knobloch R. Korn DRL 13 21 0 07 Jul 2019
Towards Robust, Locally Linear Deep Networks Guang-He Lee David Alvarez-Melis Tommi Jaakkola ODL 19 48 0 07 Jul 2019
ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs B. Grimstad H. Andersson 11 139 0 06 Jul 2019
Learning with Known Operators reduces Maximum Training Error Bounds Andreas Maier Christopher Syben Bernhard Stimpel Tobias Würfl M. Hoffmann Frank Schebesch Weilin Fu L. Mill L. Kling S. Christiansen 30 108 0 03 Jul 2019
Machine Reading Comprehension: a Literature Review Xin Zhang An Yang Sujian Li Yizhong Wang 30 33 0 30 Jun 2019
SetGAN: Improving the stability and diversity of generative models through a permutation invariant architecture Alessandro Ferrero Shireen Elhabian Ross T. Whitaker GAN 13 0 0 28 Jun 2019
Further advantages of data augmentation on convolutional neural networks Alex Hernández-García Peter König 6 107 0 26 Jun 2019
Variations on the Chebyshev-Lagrange Activation Function Yuchen Li Frank Rudzicz Jekaterina Novikova 14 1 0 24 Jun 2019
Learning Activation Functions: A new paradigm for understanding Neural Networks Mohit Goyal R. Goyal Brejesh Lall 17 63 0 23 Jun 2019
Multiple-Identity Image Attacks Against Face-based Identity Verification Jerone T. A. Andrews T. Tanay Lewis D. Griffin CVBM AAML 19 9 0 20 Jun 2019
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution Zicun Cong Lingyang Chu Lanjun Wang X. Hu J. Pei 150 5 0 17 Jun 2019
Conditional Computation for Continual Learning Min-Bin Lin Jie Fu Yoshua Bengio CLL 18 10 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 12 2 0 16 Jun 2019
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse Y. Yoo Dongyoon Han Sangdoo Yun CVBM 19 43 0 15 Jun 2019
CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets Riddhish Bhalodia Shireen Elhabian L. Kavan Ross T. Whitaker 13 1 0 13 Jun 2019
Deep Learning-Based Automatic Downbeat Tracking: A Brief Review Bijue Jia Jiancheng Lv Dayiheng Liu 19 28 0 10 Jun 2019
Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction W. Ouyang Xiuwu Zhang Li Li Heng Zou Xin Xing Zhaojie Liu Yanlong Du 12 54 0 10 Jun 2019
Deeply-supervised Knowledge Synergy Dawei Sun Anbang Yao Aojun Zhou Hao Zhao 12 63 0 03 Jun 2019
Equivalent and Approximate Transformations of Deep Neural Networks Abhinav Kumar Thiago Serra Srikumar Ramalingam 10 21 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 19 32 0 26 May 2019
A Universal Approximation Result for Difference of log-sum-exp Neural Networks G. Calafiore S. Gaubert Member C. Possieri 9 44 0 21 May 2019
Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions MohamadAli Torkamani Phillip Wallis Shiv Shankar Pedram Rooshenas 6 5 0 19 May 2019
Efficient hinging hyperplanes neural network and its application in nonlinear system identification Jun Xu Qinghua Tao Zhen Li Xiangming Xi Johan A. K. Suykens Shuning Wang 16 26 0 15 May 2019
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 27 149 0 25 Apr 2019
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers Kui Jia Jiehong Lin Mingkui Tan Dacheng Tao 3DV 25 32 0 25 Apr 2019
Learning Discriminative Features Via Weights-biased Softmax Loss Xiaobin Li Weiqiang Wang 17 22 0 25 Apr 2019
Deep Anchored Convolutional Neural Networks Jiahui Huang Kshitij Dwivedi Gemma Roig 11 1 0 22 Apr 2019
Enhanced Center Coding for Cell Detection with Convolutional Neural Networks Haoyi Liang A. Naik Cedric L. Williams J. Kapur D. Weller 13 7 0 18 Apr 2019
Sparseout: Controlling Sparsity in Deep Networks Najeeb Khan Ian Stavness BDL 29 9 0 17 Apr 2019
STC Antispoofing Systems for the ASVspoof2019 Challenge G. Lavrentyeva Sergey Novoselov Andzhukaev Tseren Marina Volkova Artem Gorlanov Alexander Kozlov 13 245 0 11 Apr 2019
$$\mathcal{G}$-softmax: Improving Intra-class Compactness and Inter-class Separability of Features$ $\mathcal{G}$ -softmax: Improving Intra-class Compactness and Inter-class Separability of Features Yan Luo Yongkang Wong Mohan S. Kankanhalli Qi Zhao 38 37 0 08 Apr 2019
LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks Sudhakar Kumawat Shanmuganathan Raman 3DPC 13 77 0 06 Apr 2019
FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI Santiago Estrada Ran Lu Sailesh Conjeti Ximena Orozco-Ruiz Joana Panos-Willuhn M. Breteler M. Reuter MedIm 16 72 0 03 Apr 2019
Invariance-Preserving Localized Activation Functions for Graph Neural Networks Luana Ruiz Fernando Gama A. Marques Alejandro Ribeiro GNN 25 52 0 29 Mar 2019
On the Stability and Generalization of Learning with Kernel Activation Functions M. Cirillo Simone Scardapane S. Van Vaerenbergh A. Uncini 6 0 0 28 Mar 2019
Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks Yunxiang Zhang S. Blusseau Santiago Velasco-Forero Isabelle Bloch Jesús Angulo 13 26 0 19 Mar 2019
MFAS: Multimodal Fusion Architecture Search Juan-Manuel Perez-Rua Valentin Vielzeuf S. Pateux M. Baccouche F. Jurie 19 178 0 15 Mar 2019
Deep Switch Networks for Generating Discrete Data and Language Payam Delgosha Naveen Goela 11 0 0 14 Mar 2019