Understanding Neural Networks Through Deep Visualization

22 June 2015

Jeff Clune

Papers citing "Understanding Neural Networks Through Deep Visualization"

50 / 262 papers shown

Title
Feature Visualization in 3D Convolutional Neural Networks Chunpeng Li Ya-tang Li FAtt 21 0 0 12 May 2025
Batch Augmentation with Unimodal Fine-tuning for Multimodal Learning H. M. D. Kabir S. Mondal Mohammad Ali Moni 31 0 0 10 May 2025
ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization Md Rahat-uz- Zaman Bei Wang Paul Rosen 21 0 0 06 May 2025
Deep Neural Nets as Hamiltonians Mike Winer Boris Hanin 136 0 0 31 Mar 2025
Dimensions underlying the representational alignment of deep neural networks with humans F. Mahner Lukas Muttenthaler Umut Güçlü M. Hebart 48 4 0 28 Jan 2025
Path Analysis for Effective Fault Localization in Deep Neural Networks Soroush Hashemifar Saeed Parsa A. Kalaee AAML 41 0 0 28 Jan 2025
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers Yunshan Zhong Yuyao Zhou Yuxin Zhang Shen Li Yong Li Rongrong Ji Zhanpeng Zeng Rongrong Ji MQ 94 0 0 31 Dec 2024
Convolutional Neural Networks Do Work with Pre-Defined Filters C. Linse Erhardt Barth T. Martinetz 82 5 0 27 Nov 2024
A Mechanistic Explanatory Strategy for XAI Marcin Rabiza 53 1 0 02 Nov 2024
Obfuscation Based Privacy Preserving Representations are Recoverable Using Neighborhood Information Kunal Chelani Assia Benbihi Fredrik Kahl Torsten Sattler Zuzana Kukelova 3DPC 33 0 0 17 Sep 2024
Interpreting Low-level Vision Models with Causal Effect Maps Jinfan Hu Jinjin Gu Shiyao Yu Fanghua Yu Zheyuan Li Zhiyuan You Chaochao Lu Chao Dong CML 48 2 0 29 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 63 1 0 01 Jul 2024
Face processing emerges from object-trained convolutional neural networks Zhenhua Zhao Ji Chen Zhicheng Lin Haojiang Ying OOD CVBM 63 0 0 29 May 2024
Visualizing Neural Network Imagination Nevan Wichers Victor Tao Riccardo Volpato Fazl Barez 23 0 0 10 May 2024
Flow AM: Generating Point Cloud Global Explanations by Latent Alignment Hanxiao Tan 41 1 0 29 Apr 2024
ATPPNet: Attention based Temporal Point cloud Prediction Network Kaustab Pal Aditya Sharma Avinash Sharma K. M. Krishna 3DPC 36 3 0 30 Jan 2024
Defining and Extracting generalizable interaction primitives from DNNs Lu Chen Siyu Lou Benhao Huang Quanshi Zhang 29 9 0 29 Jan 2024
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels Z. Babaiee Peyman M. Kiasari Daniela Rus Radu Grosu 38 1 0 25 Jan 2024
PICNN: A Pathway towards Interpretable Convolutional Neural Networks Wengang Guo Jiayi Yang Huilin Yin Qijun Chen Wei Ye 31 3 0 19 Dec 2023
Identifying Linear Relational Concepts in Large Language Models David Chanin Anthony Hunter Oana-Maria Camburu LLMSV KELM 18 4 0 15 Nov 2023
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations Chiyu Ma Brandon Zhao Chaofan Chen Cynthia Rudin 26 26 0 28 Oct 2023
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation Yanjie Ze Yuyao Liu Ruizhe Shi Jiaxin Qin Zhecheng Yuan Jiashun Wang Huazhe Xu 28 1 0 02 Oct 2023
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 32 1 0 26 Sep 2023
Interpretation on Multi-modal Visual Fusion Hao Chen Hao Zhou Yongjian Deng 36 0 0 19 Aug 2023
Feature Matching Data Synthesis for Non-IID Federated Learning Zijian Li Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang 28 20 0 09 Aug 2023
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes S. Lehmler Muhammad Saif-ur-Rehman Tobias Glasmachers Ioannis Iossifidis 24 0 0 01 Aug 2023
Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection Delyan Boychev AAML 26 1 0 04 Jul 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 45 2 0 31 May 2023
Automatic Photo Orientation Detection with Convolutional Neural Networks Ujash Joshi Michael Guerzhoy 13 19 0 17 May 2023
Modelling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network Zitang Sun Yen-Ju Chen Yung-Hao Yang Shinýa Nishida 3DH 23 0 0 16 May 2023
Technical Note: Defining and Quantifying AND-OR Interactions for Faithful and Concise Explanation of DNNs Mingjie Li Quanshi Zhang 34 9 0 26 Apr 2023
How good are variational autoencoders at transfer learning? Lisa Bonheme M. Grzes OOD DRL 23 2 0 21 Apr 2023
On the Adversarial Inversion of Deep Biometric Representations Gioacchino Tangari Shreesh Keskar Hassan Jameel Asghar Dali Kaafar AAML 31 2 0 12 Apr 2023
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning Yu Yang Besmira Nushi Hamid Palangi Baharan Mirzasoleiman 39 36 0 08 Apr 2023
What Makes for Effective Few-shot Point Cloud Classification? Chuangguan Ye Hongyuan Zhu Yongbin Liao Yang-ting Zhang Tao Chen Jiayuan Fan 3DPC 27 26 0 31 Mar 2023
Evaluating self-attention interpretability through human-grounded experimental protocol Milan Bhan Nina Achache Victor Legrand A. Blangero N. Chesneau 26 9 0 27 Mar 2023
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation Hongsuk Choi Hyeongjin Nam T. Lee Gyeongsik Moon Kyoung Mu Lee 34 7 0 09 Mar 2023
Does a Neural Network Really Encode Symbolic Concepts? Mingjie Li Quanshi Zhang 21 30 0 25 Feb 2023
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries Ahmed Imtiaz Humayun Randall Balestriero Guha Balakrishnan Richard Baraniuk 24 17 0 24 Feb 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez Alfonso Ortega Ainhoa Herrarte Manuel Alcántara J. Ortega-Garcia FaML 25 34 0 13 Feb 2023
Contrastive Learning and the Emergence of Attributes Associations D. Nissani 14 1 0 12 Feb 2023
PAMI: partition input and aggregate outputs for model interpretation Wei Shi Wentao Zhang Weishi Zheng Ruixuan Wang FAtt 26 3 0 07 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 18 57 0 01 Feb 2023
Opti-CAM: Optimizing saliency maps for interpretability Hanwei Zhang Felipe Torres R. Sicre Yannis Avrithis Stéphane Ayache 36 22 0 17 Jan 2023
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies Pradyumna Tambwekar Matthew C. Gombolay 28 8 0 13 Jan 2023
ExploreADV: Towards exploratory attack for Neural Networks Tianzuo Luo Yuyi Zhong S. Khoo AAML 24 1 0 01 Jan 2023
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
Interactive Visual Feature Search Devon Ulrich Ruth C. Fong FAtt 21 0 0 28 Nov 2022
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs Guangrun Wang Philip H. S. Torr 28 8 0 27 Nov 2022
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 27 18 0 27 Nov 2022