Image de couverture de livre

A Super-pixel-based Approach to the Stable Interpretation of Neural Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gong, Shizhan, Zhang, Jingwei, Dou, Qi, Farnia, Farzan
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
par: Gong, Shizhan, et autres
Publié: (2024)

Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
par: Gong, Shizhan, et autres
Publié: (2025)

An Interpretable Evaluation of Entropy-based Novelty of Generative Models
par: Zhang, Jingwei, et autres
Publié: (2024)

Sparse Domain Transfer via Elastic Net Regularization
par: Zhang, Jingwei, et autres
Publié: (2024)

Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability
par: Ye, Zhuorui, et autres
Publié: (2024)

Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations
par: Oskouie, Haniyeh Ehsani, et autres
Publié: (2022)

Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach
par: Zhang, Jingwei, et autres
Publié: (2024)

Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations
par: Gong, Shizhan, et autres
Publié: (2026)

Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward
par: Gong, Shizhan, et autres
Publié: (2026)

Scendi Score: Prompt-Aware Diversity Evaluation via Schur Complement of CLIP Embeddings
par: Ospanov, Azim, et autres
Publié: (2024)

When Exploration Comes for Free with Mixture-Greedy: Do we need UCB in Diversity-Aware Multi-Armed Bandits?
par: Nia, Bahar Dibaei, et autres
Publié: (2026)

PromptSplit: Revealing Prompt-Level Disagreement in Generative Models
par: Lotfian, Mehdi, et autres
Publié: (2026)

Conditional Vendi Score: An Information-Theoretic Approach to Diversity Evaluation of Prompt-based Generative Models
par: Jalali, Mohammad, et autres
Publié: (2024)

Exposing Diversity Bias in Deep Generative Models: Statistical Origins and Correction of Diversity Error
par: Farnia, Farzan, et autres
Publié: (2026)

3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation
par: Gong, Shizhan, et autres
Publié: (2023)

SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
par: Jalali, Mohammad, et autres
Publié: (2025)

Efficient Image Super-Resolution with Multi-Scale Spatial Adaptive Attention Networks
par: Rao, Sushi, et autres
Publié: (2026)

Towards an Explainable Comparison and Alignment of Feature Embeddings
par: Jalali, Mohammad, et autres
Publié: (2025)

Fast Image-based Neural Relighting with Translucency-Reflection Modeling
par: Zhu, Shizhan, et autres
Publié: (2023)

Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance
par: Sani, Matina Mahdizadeh, et autres
Publié: (2026)

pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning
par: Lei, Haoyu, et autres
Publié: (2025)

DiffPattern-Flex: Efficient Layout Pattern Generation via Discrete Diffusion
par: Wang, Zixiao, et autres
Publié: (2025)

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization
par: Qi, Peng, et autres
Publié: (2025)

Nexar Dashcam Collision Prediction Dataset and Challenge
par: Moura, Daniel C., et autres
Publié: (2025)

Adaptive Convolutional Neural Network for Image Super-resolution
par: Wu, Ziang, et autres
Publié: (2024)

HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
par: Chu, Shu-Chuan, et autres
Publié: (2024)

ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion Personalization
par: Liu, Shizhan, et autres
Publié: (2025)

One-Step Diffusion-based Real-World Image Super-Resolution with Visual Perception Distillation
par: Wu, Xue, et autres
Publié: (2025)

MultiEdit: Advancing Instruction-based Image Editing on Diverse and Challenging Tasks
par: Li, Mingsong, et autres
Publié: (2025)

MDeRainNet: An Efficient Macro-pixel Image Rain Removal Network
par: Yan, Tao, et autres
Publié: (2024)

A Cosine Network for Image Super-Resolution
par: Tian, Chunwei, et autres
Publié: (2026)

BIAS: A Body-based Interpretable Active Speaker Approach
par: Roxo, Tiago, et autres
Publié: (2024)

Stable Diffusion with Continuous-time Neural Network
par: Horvath, Andras
Publié: (2024)

LinearSR: Unlocking Linear Attention for Stable and Efficient Image Super-Resolution
par: Li, Xiaohui, et autres
Publié: (2025)

Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach
par: Guesmi, Amira, et autres
Publié: (2024)

Leveraging Vision-Language Large Models for Interpretable Video Action Recognition with Semantic Tokenization
par: Peng, Jingwei, et autres
Publié: (2025)

Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks
par: Xiao, Yi, et autres
Publié: (2025)

Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency
par: Boyd, Aidan, et autres
Publié: (2024)

Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition
par: Gong, Qingyuan, et autres
Publié: (2021)

Neural Garment Dynamic Super-Resolution
par: Zhang, Meng, et autres
Publié: (2024)