Understanding Neural Networks Through Deep Visualization

22 June 2015

Jeff Clune

Papers citing "Understanding Neural Networks Through Deep Visualization"

50 / 262 papers shown

Title
Rethinking Hard-Parameter Sharing in Multi-Domain Learning Lijun Zhang Qizheng Yang Xiao Liu Hui Guan OOD 25 14 0 23 Jul 2021
On The Distribution of Penultimate Activations of Classification Networks Minkyo Seo Yoonho Lee Suha Kwak UQCV 18 4 0 05 Jul 2021
Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability Anubhab Ghosh Antoine Honoré Dong Liu G. Henter S. Chatterjee 14 5 0 01 Jul 2021
Inverting and Understanding Object Detectors Ang Cao Justin Johnson ObjD 18 3 0 26 Jun 2021
Attack to Fool and Explain Deep Networks Naveed Akhtar M. Jalwana Bennamoun Ajmal Saeed Mian AAML 27 33 0 20 Jun 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks Eric Wong Shibani Santurkar A. Madry FAtt 22 88 0 11 May 2021
Carrying out CNN Channel Pruning in a White Box Yu-xin Zhang Mingbao Lin Chia-Wen Lin Jie Chen Feiyue Huang Yongjian Wu Yonghong Tian Rongrong Ji VLM 36 58 0 24 Apr 2021
Deep Recursive Embedding for High-Dimensional Data Zixia Zhou Yuanyuan Wang B. Lelieveldt Qian Tao 24 7 0 12 Apr 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 18 9 0 18 Mar 2021
Intraclass clustering: an implicit learning ability that regularizes DNNs Simon Carbonnelle Christophe De Vleeschouwer 52 8 0 11 Mar 2021
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines Kunal Chelani Fredrik Kahl Torsten Sattler 3DPC 17 23 0 08 Mar 2021
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data Demetres Kostas Stephane Aroca-Ouellette Frank Rudzicz SSL 41 202 0 28 Jan 2021
Deep Neural Models for color discrimination and color constancy Alban Flachot A. Akbarinia Heiko H. Schutt R. Fleming Felix Wichmann K. Gegenfurtner 16 2 0 28 Dec 2020
Understanding Failures of Deep Networks via Robust Feature Extraction Sahil Singla Besmira Nushi S. Shah Ece Kamar Eric Horvitz FAtt 25 83 0 03 Dec 2020
Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit Kate Barnes Tiernon R. Riesenmy Minh Duc Trinh Eli Lleshi Nóra Balogh Roland Molontay 11 31 0 29 Nov 2020
Quantifying Explainers of Graph Neural Networks in Computational Pathology Guillaume Jaume Pushpak Pati Behzad Bozorgtabar Antonio Foncubierta-Rodríguez Florinda Feroce A. Anniciello T. Rau Jean-Philippe Thiran M. Gabrani O. Goksel FAtt 26 76 0 25 Nov 2020
Dirichlet Pruning for Neural Network Compression Kamil Adamczewski Mijung Park 27 3 0 10 Nov 2020
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization Judy Borowski Roland S. Zimmermann Judith Schepers Robert Geirhos Thomas S. A. Wallis Matthias Bethge Wieland Brendel FAtt 36 7 0 23 Oct 2020
Interpreting convolutional networks trained on textual data Reza Marzban Christopher Crick FAtt 24 3 0 20 Oct 2020
Knowledge-Enriched Distributional Model Inversion Attacks Si-An Chen Mostafa Kahla R. Jia Guo-Jun Qi 16 93 0 08 Oct 2020
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images Xinyi Huang Suphanut Jamonnak Ye Zhao Boyu Wang Minh Hoai Kevin Yager Wei-ping Xu 30 5 0 03 Sep 2020
Perceptual underwater image enhancement with deep learning and physical priors Long Chen Zheheng Jiang Lei Tong Zhihua Liu Aite Zhao Qianni Zhang Junyu Dong Huiyu Zhou 24 33 0 21 Aug 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 8 56 0 14 Aug 2020
Explainable Predictive Process Monitoring Musabir Musabayli F. Maggi Williams Rizzi Josep Carmona Chiara Di Francescomarino 14 60 0 04 Aug 2020
The Representation Theory of Neural Networks M. Armenta Pierre-Marc Jodoin 19 30 0 23 Jul 2020
End-to-end Learning of Compressible Features Saurabh Singh Sami Abu-El-Haija Nick Johnston Johannes Ballé Abhinav Shrivastava G. Toderici SSL 97 71 0 23 Jul 2020
Adversarial Training Reduces Information and Improves Transferability M. Terzi Alessandro Achille Marco Maggipinto Gian Antonio Susto AAML 19 23 0 22 Jul 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 33 213 0 15 Jul 2020
Decoding CNN based Object Classifier Using Visualization Abhishek Mukhopadhyay Imon Mukherjee P. Biswas 19 3 0 15 Jul 2020
Interpreting and Disentangling Feature Components of Various Complexity from DNNs Jie Ren Mingjie Li Zexu Liu Quanshi Zhang CoGe 11 18 0 29 Jun 2020
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation D. Lu N. Polomac Iskra Gacheva E. Hattingen Jochen Triesch 16 18 0 17 Jun 2020
A generalizable saliency map-based interpretation of model outcome Shailja Thakur S. Fischmeister AAML FAtt MILM 22 2 0 16 Jun 2020
How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks Kirill Bykov Marina M.-C. Höhne Klaus-Robert Muller Shinichi Nakajima Marius Kloft UQCV FAtt 27 31 0 16 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 22 50 0 30 May 2020
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization Zijie J. Wang Robert Turko Omar Shaikh Haekyu Park Nilaksh Das Fred Hohman Minsuk Kahng Duen Horng Chau HAI FAtt 22 240 0 30 Apr 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 38 370 0 30 Apr 2020
X3D: Expanding Architectures for Efficient Video Recognition Christoph Feichtenhofer 73 1,000 0 09 Apr 2020
TSInsight: A local-global attribution framework for interpretability in time-series data Shoaib Ahmed Siddiqui Dominique Mercier Andreas Dengel Sheraz Ahmed FAtt AI4TS 8 12 0 06 Apr 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 38 120 0 26 Mar 2020
CRNet: Cross-Reference Networks for Few-Shot Segmentation Weide Liu Chi Zhang Guosheng Lin Fayao Liu SSeg 152 192 0 24 Mar 2020
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss G. Pihlgren Fredrik Sandin Marcus Liwicki 18 3 0 16 Mar 2020
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition C. Duong Thanh-Dat Truong Kha Gia Quach Hung Bui Kaushik Roy Khoa Luu CVBM 13 52 0 16 Mar 2020
Semantic Pyramid for Image Generation Assaf Shocher Yossi Gandelsman Inbar Mosseri Michal Yarom Michal Irani William T. Freeman Tali Dekel GAN 20 55 0 13 Mar 2020
Channel Interaction Networks for Fine-Grained Image Categorization Yu Gao Xintong Han Xun Wang Weilin Huang Matthew R. Scott 74 157 0 11 Mar 2020
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs Matthew L. Leavitt Ari S. Morcos 58 33 0 03 Mar 2020
Gradient-Adjusted Neuron Activation Profiles for Comprehensive Introspection of Convolutional Speech Recognition Models A. Krug Sebastian Stober 19 0 0 19 Feb 2020
A Hierarchy of Limitations in Machine Learning M. Malik 15 55 0 12 Feb 2020
An interpretable neural network model through piecewise linear approximation Mengzhuo Guo Qingpeng Zhang Xiuwu Liao D. Zeng MILM FAtt 16 7 0 20 Jan 2020
Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks Nilavra Bhattacharya Somnath Rakshit J. Gwizdka P. Kogut 13 25 0 15 Jan 2020
Improving Image Autoencoder Embeddings with Perceptual Loss G. Pihlgren Fredrik Sandin Marcus Liwicki 25 33 0 10 Jan 2020