Understanding Neural Networks Through Deep Visualization

22 June 2015

Jeff Clune

Papers citing "Understanding Neural Networks Through Deep Visualization"

50 / 298 papers shown

Title
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 26 160 0 22 Dec 2022
Block Selection Method for Using Feature Norm in Out-of-distribution Detection Yeonguk Yu Sungho Shin Seongju Lee C. Jun Kyoobin Lee OODD 25 31 0 05 Dec 2022
Interactive Visual Feature Search Devon Ulrich Ruth C. Fong FAtt 29 0 0 28 Nov 2022
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs Guangrun Wang Philip Torr 28 8 0 27 Nov 2022
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 35 18 0 27 Nov 2022
Overcoming Catastrophic Forgetting by XAI Giang Nguyen 18 0 0 25 Nov 2022
Data-Centric Debugging: mitigating model failures via targeted data collection Sahil Singla Atoosa Malemir Chegini Mazda Moayeri Soheil Feiz 27 4 0 17 Nov 2022
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations Linlin Liu Xingxuan Li Megh Thakkar Xin Li Chenyu You Luo Si Lidong Bing 27 2 0 16 Nov 2022
Machine learning for classifying and interpreting coherent X-ray speckle patterns Mingren Shen D. Sheyfer T. Loeffler S. Sankaranarayanan G. Stephenson Maria K. Y. Chan D. Morgan 16 0 0 15 Nov 2022
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations Zixi Chen Varshini Subhash Marton Havasi Weiwei Pan Finale Doshi-Velez XAI FAtt 39 18 0 10 Nov 2022
Towards Reliable Neural Specifications Chuqin Geng Nham Le Xiaojie Xu Zhaoyue Wang A. Gurfinkel X. Si AAML 36 10 0 28 Oct 2022
How Long Is Enough? Exploring the Optimal Intervals of Long-Range Clinical Note Language Modeling Samuel Cahyawijaya Bryan Wilie Holy Lovenia Huang Zhong Mingqian Zhong Yuk-Yu Nancy Ip Pascale Fung LM&MA 25 2 0 25 Oct 2022
Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition Thanh-Dat Truong C. Duong Ngan Le Marios Savvides Khoa Luu CVBM 72 9 0 11 Sep 2022
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection Simin Li Huangxinxin Xu Jiakai Wang Aishan Liu Fazhi He Xianglong Liu Dacheng Tao AAML 26 5 0 23 Aug 2022
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models Seungmin Jin Hyunwoo Lee Cheonbok Park Hyeshin Chu Yunwon Tae Jaegul Choo Sungahn Ko 20 14 0 08 Aug 2022
Efficient CNN Architecture Design Guided by Visualization Liangqi Zhang Haibo Shen Yihao Luo Xiang Cao Leixilan Pan Tianjiang Wang Qi Feng 45 5 0 21 Jul 2022
Reconstructing Training Data from Trained Neural Networks Niv Haim Gal Vardi Gilad Yehudai Ohad Shamir Michal Irani 40 132 0 15 Jun 2022
Self-Supervised Implicit Attention: Guided Attention by The Model Itself Jinyi Wu Xun Gong Zhemin Zhang 21 1 0 15 Jun 2022
Standalone Neural ODEs with Sensitivity Analysis Rym Jaroudi Lukáš Malý Gabriel Eilertsen B. Johansson Jonas Unger George Baravdish 23 0 0 27 May 2022
How do Variational Autoencoders Learn? Insights from Representational Similarity Lisa Bonheme M. Grzes CoGe SSL DRL 35 10 0 17 May 2022
Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments Dimitris Spathis I. Perez-Pozuelo Tomas I. Gonzales Yu Wu S. Brage N. Wareham Cecilia Mascolo 22 9 0 06 May 2022
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation Jiang Liu Srivathsa Pasumarthi B. Duffy Enhao Gong Keshav Datta Greg Zaharchuk ViT MedIm 24 55 0 28 Apr 2022
A Closer Look at Branch Classifiers of Multi-exit Architectures Shaohui Lin Bo Ji Rongrong Ji Angela Yao 12 4 0 28 Apr 2022
Visualizing Deep Neural Networks with Topographic Activation Maps A. Krug Raihan Kabir Ratul Christopher Olson Sebastian Stober FAtt AI4CE 36 3 0 07 Apr 2022
Learning Instance-Specific Adaptation for Cross-Domain Segmentation Yuliang Zou Zizhao Zhang Chun-Liang Li Han Zhang Tomas Pfister Jia-Bin Huang TTA OOD 33 14 0 30 Mar 2022
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries Haekyu Park Seongmin Lee Benjamin Hoover Austin P. Wright Omar Shaikh Rahul Duggal Nilaksh Das Kevin Li Judy Hoffman Duen Horng Chau 26 2 0 30 Mar 2022
Attributable Visual Similarity Learning Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 22 17 0 28 Mar 2022
Visualizing Global Explanations of Point Cloud DNNs Hanxiao Tan 3DPC 48 7 0 17 Mar 2022
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations Yiwei Lyu Paul Pu Liang Zihao Deng Ruslan Salakhutdinov Louis-Philippe Morency 24 31 0 03 Mar 2022
Human-in-the-loop Machine Learning: A Macro-Micro Perspective Jiangtao Wang Bin Guo Liming Chen 45 8 0 21 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt Apostolos Avranas Marios Kountouris FAtt 30 1 0 10 Feb 2022
Deeply Explain CNN via Hierarchical Decomposition Mingg-Ming Cheng Peng-Tao Jiang Linghao Han Liang Wang Philip Torr FAtt 53 15 0 23 Jan 2022
A Review of Deep Transfer Learning and Recent Advancements Mohammadreza Iman Khaled Rasheed H. Arabnia 20 354 0 19 Jan 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning Shashwat Goel Ameya Prabhu Amartya Sanyal Ser-Nam Lim Philip Torr Ponnurangam Kumaraguru AAML ELM MU 46 47 0 17 Jan 2022
PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability Sílvia Casacuberta Esra Suel Seth Flaxman FAtt 21 1 0 31 Dec 2021
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference Peng Tu Yawen Huang Feng Zheng Zhenyu He Liujun Cao Ling Shao 32 23 0 28 Dec 2021
Activation to Saliency: Forming High-Quality Labels for Completely Unsupervised Salient Object Detection Huajun Zhou Peijia Chen Lingxiao Yang Jianhuang Lai Xiaohua Xie 27 0 0 07 Dec 2021
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes Jonathan Donnelly A. Barnett Chaofan Chen 3DH 33 127 0 29 Nov 2021
Fed2: Feature-Aligned Federated Learning Fuxun Yu Weishan Zhang Zhuwei Qin Zirui Xu Di Wang Chenchen Liu Zhi Tian Xiang Chen FedML 28 74 0 28 Nov 2021
Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN Wen Yu Baiying Lei Yanyan Shen Shuqiang Wang Yong Liu Z. Feng Yong Hu Michael K. Ng GAN MedIm 16 82 0 25 Nov 2021
Intriguing Findings of Frequency Selection for Image Deblurring Xintian Mao Yiming Liu Fengze Liu Qingli Li Wei Shen Yan Wang 34 147 0 23 Nov 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li Shaobo Wang Quanshi Zhang 44 11 0 05 Nov 2021
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions Huy P Phan Kaare B. Mikkelsen 19 93 0 03 Nov 2021
CvS: Classification via Segmentation For Small Datasets Nooshin Mojab Philip S. Yu J. Hallak Darvin Yi 31 4 0 29 Oct 2021
Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction Konstantin Schurholt Dimche Kostadinov Damian Borth SSL 41 14 0 28 Oct 2021
Inference Graphs for CNN Interpretation Yael Konforti Alon Shpigler Aharon Bar-Hillel FAtt GNN 28 4 0 20 Oct 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 19 44 0 20 Oct 2021
Activation Landscapes as a Topological Summary of Neural Network Performance Matthew Wheeler Jose J. Bouza Peter Bubenik 34 19 0 19 Oct 2021
A Study of the Generalizability of Self-Supervised Representations Atharva Tendle Mohammad Rashedul Hasan 76 27 0 19 Sep 2021
iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform Dongmei Xue Haichuan Ma Li Li Dong Liu Zhiwei Xiong MedIm 30 7 0 18 Sep 2021