Fractional Max-Pooling

18 December 2014

Benjamin Graham

Papers citing "Fractional Max-Pooling"

50 / 82 papers shown

Title
3DPyranet Features Fusion for Spatio-temporal Feature Learning I. Ullah A. Petrosino 3DPC 212 0 0 26 Apr 2025
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer Md Zarif Hossain Ahmed Imteaj FedML 35 5 0 02 May 2023
Deep Multi-Branch CNN Architecture for Early Alzheimer's Detection from Brain MRIs Paul K. Mandal Rakeshkumar V. Mahto 27 6 0 22 Oct 2022
Differentiable Self-Adaptive Learning Rate Bozhou Chen Hongzhi Wang Chenmin Ba ODL 30 4 0 19 Oct 2022
Survey: Exploiting Data Redundancy for Optimization of Deep Learning Jou-An Chen Wei Niu Bin Ren Yanzhi Wang Xipeng Shen 23 24 0 29 Aug 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 31 39 0 14 Jun 2022
Comparison Analysis of Traditional Machine Learning and Deep Learning Techniques for Data and Image Classification Efstathios Karypidis Stylianos G. Mouslech Kassiani Skoulariki Alexandros Gazis 28 14 0 11 Apr 2022
An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images Jiawei Zhang N. Xu Chen Li M. Rahaman Yuhong Yao Yu-Hao Lin Jinghua Zhang Tao Jiang M. Grzegorzek Wenjun Qin 28 7 0 04 Apr 2022
Fully Convolutional Fractional Scaling Michael Soloveitchik M. Werman 28 0 0 20 Mar 2022
Learning strides in convolutional neural networks Rachid Riad O. Teboul David Grangier Neil Zeghidour 36 41 0 03 Feb 2022
Dilated Continuous Random Field for Semantic Segmentation Xi Mo Xiangyu Chen Cuncong Zhong Rui Li Kaidong Li Usman Sajid 3DV 29 0 0 01 Feb 2022
LogAvgExp Provides a Principled and Performant Global Pooling Operator S. Lowe Thomas Trappenberg Sageev Oore FAtt 26 2 0 02 Nov 2021
A Layer-wise Adversarial-aware Quantization Optimization for Improving Robustness Chang Song Riya Ranjan H. Li MQ 21 4 0 23 Oct 2021
Attack Detection and Localization in Smart Grid with Image-based Deep Learning Mostafa Mohammadpourfard I. Genc Subhash Lakshminarayana Charalambos Konstantinou 31 16 0 21 Oct 2021
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling Zhendong Zhang OOD 21 5 0 24 Sep 2021
Resolution learning in deep convolutional networks using scale-space theory Silvia L.Pintea Nergis Tomen Stanley F. Goes Marco Loog Jan van Gemert SupR SSL 32 37 0 07 Jun 2021
LocalDrop: A Hybrid Regularization for Deep Neural Networks Ziqing Lu Chang Xu Bo Du Takashi Ishida Lefei Zhang Masashi Sugiyama 41 15 0 01 Mar 2021
An Algorithm for Learning Smaller Representations of Models With Scarce Data Adrian de Wynter 46 2 0 15 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 44 79 0 17 Sep 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification Ruihui Li Xianzhi Li Pheng-Ann Heng Chi-Wing Fu 3DPC 24 145 0 25 Feb 2020
Proof of Federated Learning: A Novel Energy-recycling Consensus Algorithm Xidi Qu Shengling Wang Qin Hu Xiuzhen Cheng FedML 34 102 0 26 Dec 2019
Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics Felix Denzinger M. Wels Nishant Ravikumar Katharina Breininger Anika Reidelshöfer Joachim Eckert M. Sühling A. Schmermund Andreas Maier 17 18 0 12 Dec 2019
DeepMimic: Mentor-Student Unlabeled Data Based Training Itay Mosafi E. David N. Netanyahu 19 6 0 24 Nov 2019
Unrolling Ternary Neural Networks Stephen Tridgell M. Kumm M. Hardieck David Boland Duncan J. M. Moss P. Zipf Philip H. W. Leong 27 27 0 09 Sep 2019
LIP: Local Importance-based Pooling Ziteng Gao Limin Wang Gangshan Wu FAtt 42 94 0 12 Aug 2019
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization Jung-Kyun Cho Junseok Kwon Byung-Woo Hong 31 1 0 23 Jul 2019
Neural ODEs as the Deep Limit of ResNets with constant weights B. Avelin K. Nystrom ODL 40 31 0 28 Jun 2019
Further advantages of data augmentation on convolutional neural networks Alex Hernández-García Peter König 19 107 0 26 Jun 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 31 1 0 24 Jan 2019
Ablation of a Robot's Brain: Neural Networks Under a Knife Peter Lillian Richard Meyes Tobias Meisen 30 10 0 13 Dec 2018
Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification C. Low Jaewoo Park Andrew Beng Jin Teoh 22 41 0 17 Nov 2018
Efficient Augmentation via Data Subsampling Michael Kuchnik Virginia Smith 24 22 0 11 Oct 2018
Hartley Spectral Pooling for Deep Learning Huatian Zhang Jianwei Ma 25 24 0 07 Oct 2018
ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment Yong Luo Huaizheng Zhang Yongjie Wang Yonggang Wen Xinwen Zhang 23 16 0 05 Oct 2018
Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks Nikola B. Kovachki Andrew M. Stuart BDL 47 136 0 10 Aug 2018
Efficient ConvNets for Analog Arrays Malte J. Rasch Tayfun Gokmen Mattia Rigotti W. Haensch 31 11 0 03 Jul 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 32 141 0 11 Jun 2018
SHADE: Information Based Regularization for Deep Learning Michael Blot Thomas Robert Nicolas Thome Matthieu Cord 32 12 0 29 Apr 2018
Detail-Preserving Pooling in Deep Networks Faraz Saeedan Nicolas Weber Michael Goesele Stefan Roth 60 90 0 11 Apr 2018
Ordinal Pooling Networks: For Preserving Information over Shrinking Feature Maps Ashwani Kumar FAtt 19 8 0 08 Apr 2018
A Survey on Deep Learning Methods for Robot Vision Javier Ruiz-del-Solar P. Loncomilla Naiomi Soto 31 60 0 28 Mar 2018
A Kernel Theory of Modern Data Augmentation Tri Dao Albert Gu Alexander J. Ratner Virginia Smith Christopher De Sa Christopher Ré 27 190 0 16 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 29 875 0 03 Mar 2018
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou Ehsan Adeli 50 45 0 17 Feb 2018
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification Rohit Tripathy Ilias Bilionis AI4CE 27 403 0 02 Feb 2018
Evaluating Robustness of Neural Networks with Mixed Integer Programming Vincent Tjeng Kai Y. Xiao Russ Tedrake AAML 52 117 0 20 Nov 2017
Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks Thilo Strauss Markus Hanselmann Andrej Junginger Holger Ulmer AAML 34 134 0 11 Sep 2017
Learning to Compose Domain-Specific Transformations for Data Augmentation Alexander J. Ratner Henry R. Ehrenberg Zeshan Hussain Jared A. Dunnmon Christopher Ré 39 347 0 06 Sep 2017
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation Binghui Chen Weihong Deng Junping Du 25 125 0 12 Aug 2017
Transfer entropy-based feedback improves performance in artificial neural networks S. Herzog Christian Tetzlaff Florentin Wörgötter 29 7 0 13 Jun 2017