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Visualizing and Understanding Convolutional Networks

Visualizing and Understanding Convolutional Networks

12 November 2013
Matthew D. Zeiler
Rob Fergus
    FAtt
    SSL
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Papers citing "Visualizing and Understanding Convolutional Networks"

50 / 91 papers shown
Title
Minimizing False-Positive Attributions in Explanations of Non-Linear Models
Minimizing False-Positive Attributions in Explanations of Non-Linear Models
Anders Gjølbye
Stefan Haufe
Lars Kai Hansen
113
0
0
16 May 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Indu Panigrahi
Sunnie S. Y. Kim
Amna Liaqat
Rohan Jinturkar
Olga Russakovsky
Ruth C. Fong
Parastoo Abtahi
FAtt
HAI
140
1
0
14 Apr 2025
Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results
Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results
Andrei Dumitriu
Florin Tatui
Florin Miron
Radu Tudor Ionescu
Radu Timofte
122
23
0
03 Apr 2025
Discovering Influential Neuron Path in Vision Transformers
Discovering Influential Neuron Path in Vision Transformers
Yifan Wang
Yifei Liu
Yingdong Shi
Chong Li
Anqi Pang
Sibei Yang
Jingyi Yu
Kan Ren
ViT
148
0
0
12 Mar 2025
Interpretable Model Drift Detection
Pranoy Panda
Kancheti Sai Srinivas
V. Balasubramanian
Gaurav Sinha
140
0
0
09 Mar 2025
A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs
A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs
Melkamu Mersha
Mesay Gemeda Yigezu
Hassan Shakil
Ali Al shami
SangHyun Byun
Jugal Kalita
136
1
0
06 Mar 2025
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
Leming Shen
Qiang Yang
Kaiyan Cui
Yuanqing Zheng
Xiao-Yong Wei
Jianwei Liu
Jinsong Han
FedML
165
11
0
28 Feb 2025
Interpreting CLIP with Hierarchical Sparse Autoencoders
Interpreting CLIP with Hierarchical Sparse Autoencoders
Vladimir Zaigrajew
Hubert Baniecki
P. Biecek
132
1
0
27 Feb 2025
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach
Antoine Ledent
Peng Liu
FAtt
212
0
0
20 Feb 2025
Dimensions underlying the representational alignment of deep neural networks with humans
Dimensions underlying the representational alignment of deep neural networks with humans
F. Mahner
Lukas Muttenthaler
Umut Güçlü
M. Hebart
119
5
0
28 Jan 2025
Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models
Melkamu Mersha
Mesay Gemeda Yigezu
Jugal Kalita
ELM
150
4
0
26 Jan 2025
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security
Osvaldo Arreche
Mustafa Abdallah
AAML
145
1
0
14 Jan 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
Lukas Klein
Carsten T. Lüth
U. Schlegel
Till J. Bungert
Mennatallah El-Assady
Paul F. Jäger
XAI
ELM
115
4
0
03 Jan 2025
Hadamard Attention Recurrent Transformer: A Strong Baseline for Stereo Matching Transformer
Hadamard Attention Recurrent Transformer: A Strong Baseline for Stereo Matching Transformer
Ziyang Chen
Yongjun Zhang
Wenting Li
Bingshu Wang
Yabo Wu
Yong Zhao
C. L. P. Chen
132
0
0
02 Jan 2025
Accurate Explanation Model for Image Classifiers using Class Association Embedding
Accurate Explanation Model for Image Classifiers using Class Association Embedding
Ruitao Xie
Jingbang Chen
Limai Jiang
Rui Xiao
Yi-Lun Pan
Yunpeng Cai
138
4
0
31 Dec 2024
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers
Mingliang Xu
Yuyao Zhou
Yuxin Zhang
Shen Li
Yong Li
Chia-Wen Lin
Zhanpeng Zeng
Rongrong Ji
MQ
191
0
0
31 Dec 2024
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
Fabian Fumagalli
Maximilian Muschalik
Eyke Hüllermeier
Barbara Hammer
J. Herbinger
FAtt
111
2
0
22 Dec 2024
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability
Wen-Dong Jiang
Chih-Yung Chang
Show-Jane Yen
Diptendu Sinha Roy
FAtt
HAI
171
1
0
02 Dec 2024
Explaining the Impact of Training on Vision Models via Activation Clustering
Explaining the Impact of Training on Vision Models via Activation Clustering
Ahcène Boubekki
Samuel G. Fadel
Sebastian Mair
162
0
0
29 Nov 2024
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
Luis M. Lopez-Ramos
Florian Leiser
Aditya Rastogi
Steven Hicks
Inga Strümke
V. Madai
Tobias Budig
Ali Sunyaev
A. Hilbert
121
2
0
07 Nov 2024
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation
Dennis Fucci
Marco Gaido
Beatrice Savoldi
Matteo Negri
Mauro Cettolo
L. Bentivogli
145
2
0
03 Nov 2024
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery
Chuyu Zhang
Peiyan Gu
Xueyang Yu
Xuming He
152
0
0
17 Oct 2024
Locality Alignment Improves Vision-Language Models
Locality Alignment Improves Vision-Language Models
Ian Covert
Tony Sun
James Zou
Tatsunori Hashimoto
VLM
141
5
0
14 Oct 2024
Unlearning-based Neural Interpretations
Unlearning-based Neural Interpretations
Ching Lam Choi
Alexandre Duplessis
Serge Belongie
FAtt
126
0
0
10 Oct 2024
Formation of Representations in Neural Networks
Formation of Representations in Neural Networks
Liu Ziyin
Isaac Chuang
Tomer Galanti
T. Poggio
127
7
0
03 Oct 2024
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
Alessandro Lovo
Amaury Lancelin
Corentin Herbert
Freddy Bouchet
AI4CE
104
0
0
01 Oct 2024
Zero-shot forecasting of chaotic systems
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang
William Gilpin
AI4TS
118
7
0
24 Sep 2024
Obfuscation Based Privacy Preserving Representations are Recoverable Using Neighborhood Information
Obfuscation Based Privacy Preserving Representations are Recoverable Using Neighborhood Information
Kunal Chelani
Assia Benbihi
Fredrik Kahl
Torsten Sattler
Zuzana Kukelova
3DPC
135
0
0
17 Sep 2024
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures
Xinheng Xie
Kureha Yamaguchi
Margaux Leblanc
Simon Malzard
Varun Chhabra
Victoria Nockles
Yue-bo Wu
AAML
118
0
0
08 Sep 2024
Explanation Space: A New Perspective into Time Series Interpretability
Explanation Space: A New Perspective into Time Series Interpretability
Shahbaz Rezaei
Xin Liu
AI4TS
99
1
0
02 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
Asifullah Khan
A. Sohail
Mustansar Fiaz
Mehdi Hassan
Tariq Habib Afridi
...
Muhammad Zaigham Zaheer
Kamran Ali
Tangina Sultana
Ziaurrehman Tanoli
Naeem Akhter
134
4
0
30 Aug 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
181
31
0
30 Aug 2024
Smooth InfoMax -- Towards easier Post-Hoc interpretability
Smooth InfoMax -- Towards easier Post-Hoc interpretability
Fabian Denoodt
Bart de Boer
José Oramas
75
2
0
23 Aug 2024
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection
Tingfeng Huang
Yuxuan Cheng
Jingbo Xia
Rui Yu
Yuxuan Cai
Jinhai Xiang
Xinwei He
AAML
157
0
0
14 Aug 2024
Learning Ordinality in Semantic Segmentation
Learning Ordinality in Semantic Segmentation
Rafael Cristino
Ricardo P. M. Cruz
Jaime S. Cardoso
226
0
0
30 Jul 2024
Interpreting Low-level Vision Models with Causal Effect Maps
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
110
2
0
29 Jul 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
Guogang Zhu
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Xinghao Wu
Jiayuan Zhang
AI4CE
149
1
0
25 Jul 2024
Base and Exponent Prediction in Mathematical Expressions using Multi-Output CNN
Base and Exponent Prediction in Mathematical Expressions using Multi-Output CNN
Md. Laraib Salam
Akash S Balsaraf
Gaurav Gupta
Ashish Rajeshwar Kulkarni
77
1
0
20 Jul 2024
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
Junseo Park
Hyeryung Jang
153
1
0
17 Jul 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
Nikolaos Dimitriadis
Pascal Frossard
François Fleuret
MoE
153
8
0
10 Jul 2024
A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling
A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling
Minghao Zhou
Hong Wang
Yefeng Zheng
Deyu Meng
123
1
0
02 Jul 2024
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics
Charlotte Beylier
Simon M. Hofmann
Nico Scherf
96
0
0
20 Jun 2024
MambaLRP: Explaining Selective State Space Sequence Models
MambaLRP: Explaining Selective State Space Sequence Models
F. Jafari
G. Montavon
Klaus-Robert Müller
Oliver Eberle
Mamba
155
9
0
11 Jun 2024
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
Qile Fan
Penghang Yu
Zhiyi Tan
Bing-Kun Bao
Guanming Lu
144
1
0
01 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks
CONFINE: Conformal Prediction for Interpretable Neural Networks
Linhui Huang
S. Lala
N. Jha
164
2
0
01 Jun 2024
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
Yuang Zhao
Zhaocheng Du
Qinglin Jia
Linxuan Zhang
Zhenhua Dong
Ruiming Tang
109
3
0
21 May 2024
A Multimodal Automated Interpretability Agent
A Multimodal Automated Interpretability Agent
Tamar Rott Shaham
Sarah Schwettmann
Franklin Wang
Achyuta Rajaram
Evan Hernandez
Jacob Andreas
Antonio Torralba
117
19
0
22 Apr 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
138
6
0
18 Mar 2024
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
Mohammad Alkhalefi
Georgios Leontidis
Mingjun Zhong
138
3
0
11 Mar 2024
Subobject-level Image Tokenization
Subobject-level Image Tokenization
Delong Chen
Samuel Cahyawijaya
Jianfeng Liu
Baoyuan Wang
Pascale Fung
VLM
OCL
139
9
0
22 Feb 2024
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