Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks

7 November 2013

Papers citing "Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks"

25 / 25 papers shown

Title
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Ali Mammadov Loic Le Folgoc Julien Adam Anne Buronfosse Gilles Hayem Guillaume Hocquet Pietro Gori SSL 45 0 0 02 May 2025
Function-Space Optimality of Neural Architectures with Multivariate Nonlinearities Rahul Parhi Michael Unser 39 5 0 05 Oct 2023
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 36 4 0 13 Dec 2022
YZR-net : Self-supervised Hidden representations Invariant to Transformations for profanity detection V. Joshi S. Tatinati Yubo Wang 11 0 0 22 Nov 2022
Self-Attentive Pooling for Efficient Deep Learning Fang Chen Gourav Datta Souvik Kundu P. Beerel 76 6 0 16 Sep 2022
Temporal Lift Pooling for Continuous Sign Language Recognition Lianyu Hu Liqing Gao Zekang Liu Wei Feng SLR 18 40 0 18 Jul 2022
A Survey on Hyperlink Prediction Cang Chen Yang-Yu Liu 3DV AI4CE 9 40 0 06 Jul 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 23 7 0 04 Apr 2022
Learning strides in convolutional neural networks Rachid Riad O. Teboul David Grangier Neil Zeghidour 30 41 0 03 Feb 2022
AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling Alexandros Stergiou R. Poppe 32 78 0 01 Nov 2021
Learning to Pool in Graph Neural Networks for Extrapolation Jihoon Ko Taehyung Kwon Kijung Shin Juho Lee 16 6 0 11 Jun 2021
Weakly Supervised Segmentation of Cracks on Solar Cells using Normalized Lp Norm Martin Mayr M. Hoffmann Andreas K. Maier Vincent Christlein UQCV 11 48 0 30 Jan 2020
LIP: Local Importance-based Pooling Ziteng Gao Limin Wang Gangshan Wu FAtt 29 94 0 12 Aug 2019
Alpha-Integration Pooling for Convolutional Neural Networks O. Elbagalati Mustafa Hajij 28 3 0 08 Nov 2018
Hartley Spectral Pooling for Deep Learning H. M. Zhang Jianwei Ma 23 24 0 07 Oct 2018
Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks Nikola B. Kovachki Andrew M. Stuart BDL 40 136 0 10 Aug 2018
Detail-Preserving Pooling in Deep Networks Faraz Saeedan Nicolas Weber Michael Goesele Stefan Roth 52 90 0 11 Apr 2018
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding Dong Liu Ke Sun Zhangyang Wang Runsheng Liu Zhengjun Zha 20 12 0 28 Feb 2018
Learning Combinations of Activation Functions Franco Manessi A. Rozza AI4CE 21 54 0 29 Jan 2018
Discriminative models for multi-instance problems with tree-structure Tomás Pevný P. Somol 14 24 0 07 Mar 2017
Using Neural Network Formalism to Solve Multiple-Instance Problems Tomás Pevný P. Somol 14 27 0 23 Sep 2016
Mollifying Networks Çağlar Gülçehre Marcin Moczulski Francesco Visin Yoshua Bengio 13 46 0 17 Aug 2016
Deep SimNets Nadav Cohen Or Sharir Amnon Shashua 27 46 0 09 Jun 2015
Learning Activation Functions to Improve Deep Neural Networks Forest Agostinelli Matthew Hoffman Peter Sadowski Pierre Baldi ODL 31 472 0 21 Dec 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012