Visualizing and Understanding Convolutional Networks

12 November 2013

Papers citing "Visualizing and Understanding Convolutional Networks"

41 / 91 papers shown

Title
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research Sicong Cao Xiaobing Sun Ratnadira Widyasari David Lo Xiaoxue Wu ... Jiale Zhang Bin Li Wei Liu Di Wu Yixin Chen 78 7 0 26 Jan 2024
Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review Luoma Ke Song Tong Peng Cheng Kaiping Peng OffRL LM&MA 90 21 0 03 Jan 2024
ResNLS: An Improved Model for Stock Price Forecasting Yuanzhe Jia Ali Anaissi Basem Suleiman AI4TS AIFin 82 4 0 02 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 80 1 0 30 Nov 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 96 64 0 29 Sep 2023
MIML: Multiplex Image Machine Learning for High Precision Cell Classification via Mechanical Traits within Microfluidic Systems Khayrul Islam Ratul Paul Shen Wang Yaling Liu Partho Adhikary Qiying Li Xiaochen Qin Yaling Liu 50 0 0 15 Sep 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 71 3 0 20 Aug 2023
Sustainable transparency in Recommender Systems: Bayesian Ranking of Images for Explainability Jorge Paz-Ruza Amparo Alonso-Betanzos Berta Guijarro-Berdiñas Brais Cancela Carlos Eiras-Franco BDL 88 5 0 27 Jul 2023
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods Mohammad Alkhalefi Georgios Leontidis Min Zhong SSL 130 2 0 28 Jun 2023
Less is More: The Influence of Pruning on the Explainability of CNNs David Weber F. Merkle Pascal Schöttle Stephan Schlögl Martin Nocker FAtt 101 1 0 17 Feb 2023
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations Bin Wang Wenbin Pei Bing Xue Mengjie Zhang FAtt 100 3 0 28 Nov 2022
Exploring Self-Attention for Crop-type Classification Explainability Ivica Obadic R. Roscher Dario Augusto Borges Oliveira Xiao Xiang Zhu 65 7 0 24 Oct 2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation Qilong Zhang Chaoning Zhang Chaoning Zhang Chaoqun Li Xuanhan Wang Jingkuan Song Lianli Gao AAML 72 21 0 09 Mar 2022
Telling Left from Right: Learning Spatial Correspondence of Sight and Sound Karren D. Yang Bryan C. Russell Justin Salamon SSL 56 75 0 11 Jun 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 86 82 0 17 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 288 929 0 02 Mar 2020
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition Xiangyang Li Luis Herranz Shuqiang Jiang 154 2 0 11 Jul 2019
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 127 685 0 06 Dec 2017
Deep Learning for identifying radiogenomic associations in breast cancer Zhe Zhu Ehab Albadawy Ashirbani Saha Jun Zhang Michael R. Harowicz Maciej A. Mazurowski 51 126 0 29 Nov 2017
Cell Tracking via Proposal Generation and Selection S. Akram Arno Solin L. Eklund J. Heikkilä 44 28 0 09 May 2017
Deep Learning for Tumor Classification in Imaging Mass Spectrometry Jens Behrmann Christian Etmann T. Boskamp R. Casadonte J. Kriegsmann Peter Maass 62 104 0 02 May 2017
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation Di Xie Jiang Xiong Shiliang Pu 84 181 0 06 Mar 2017
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations Upol Ehsan Brent Harrison Larry Chan Mark O. Riedl 101 218 0 25 Feb 2017
Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation Kota Hara Raviteja Vemulapalli Rama Chellappa 62 84 0 06 Feb 2017
An Experimental Study of Deep Convolutional Features For Iris Recognition Shervin Minaee AmirAli Abdolrashidi Yao Wang CVBM 116 146 0 04 Feb 2017
Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval Veronika Cheplygina Xuemin Lin D. Lynch Weinan Zhang 69 156 0 18 Jan 2017
Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification Igor Barros Barbosa Marco Cristani Barbara Caputo Aleksander Rognhaugen T. Theoharis 66 197 0 11 Jan 2017
CNN-based Segmentation of Medical Imaging Data Baris Kayalibay Grady Jensen Patrick van der Smagt SSeg 124 414 0 11 Jan 2017
Semantic Perceptual Image Compression using Deep Convolution Networks Aaditya (Adi) Prakash N. Moran Solomon Garber Antonella DiLillo J. Storer 66 82 0 27 Dec 2016
Highway and Residual Networks learn Unrolled Iterative Estimation Klaus Greff R. Srivastava Jürgen Schmidhuber AI4TS 75 215 0 22 Dec 2016
Multi-Agent Cooperation and the Emergence of (Natural) Language Angeliki Lazaridou A. Peysakhovich Marco Baroni LLMAG 98 431 0 21 Dec 2016
Object Recognition with and without Objects Zhuotun Zhu Lingxi Xie Alan Yuille OCL ObjD 75 81 0 20 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 791 14,454 0 07 Oct 2016
Disentangled Representations in Neural Models William F. Whitney OOD OCL DRL 68 18 0 07 Feb 2016
Automatic recognition of element classes and boundaries in the birdsong with variable sequences Takuya Koumura K. Okanoya 59 23 0 23 Jan 2016
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 157 7,252 0 20 Dec 2013
Some Improvements on Deep Convolutional Neural Network Based Image Classification Andrew G. Howard VLM 107 433 0 19 Dec 2013
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 211 26,091 0 11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 146 4,946 0 06 Oct 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 371 7,650 0 03 Jul 2012
Multi-column Deep Neural Networks for Image Classification D. Ciresan U. Meier Jürgen Schmidhuber 100 3,935 0 13 Feb 2012