Saved in:
| Main Authors: | Chen, Yi-Chung, Inouye, David I., Gao, Jing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.12060 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated
by: Yang, Muli, et al.
Published: (2026)
by: Yang, Muli, et al.
Published: (2026)
Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density
by: Balestriero, Randall, et al.
Published: (2025)
by: Balestriero, Randall, et al.
Published: (2025)
VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution
by: Zhu, Yixuan, et al.
Published: (2026)
by: Zhu, Yixuan, et al.
Published: (2026)
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
by: Chung, Hyungjin, et al.
Published: (2024)
by: Chung, Hyungjin, et al.
Published: (2024)
Your Diffusion Model is Secretly a Certifiably Robust Classifier
by: Chen, Huanran, et al.
Published: (2024)
by: Chen, Huanran, et al.
Published: (2024)
SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration
by: Li, Zekun, et al.
Published: (2026)
by: Li, Zekun, et al.
Published: (2026)
Learning Time in Static Classifiers
by: Ding, Xi, et al.
Published: (2025)
by: Ding, Xi, et al.
Published: (2025)
Your Image Generator Is Your New Private Dataset
by: Resmini, Nicolo, et al.
Published: (2025)
by: Resmini, Nicolo, et al.
Published: (2025)
Diffusion Models without Classifier-free Guidance
by: Tang, Zhicong, et al.
Published: (2025)
by: Tang, Zhicong, et al.
Published: (2025)
Deciphering Personalization: Towards Fine-Grained Explainability in Natural Language for Personalized Image Generation Models
by: Wang, Haoming, et al.
Published: (2025)
by: Wang, Haoming, et al.
Published: (2025)
Classifying Histopathologic Glioblastoma Sub-regions with EfficientNet
by: Adap, Sanyukta, et al.
Published: (2025)
by: Adap, Sanyukta, et al.
Published: (2025)
Align Your Query: Representation Alignment for Multimodality Medical Object Detection
by: Seo, Ara, et al.
Published: (2025)
by: Seo, Ara, et al.
Published: (2025)
Graph Your Own Prompt
by: Ding, Xi, et al.
Published: (2025)
by: Ding, Xi, et al.
Published: (2025)
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
by: Viviers, Christiaan, et al.
Published: (2024)
by: Viviers, Christiaan, et al.
Published: (2024)
Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI
by: Chanchal, Akchunya, et al.
Published: (2025)
by: Chanchal, Akchunya, et al.
Published: (2025)
Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks
by: Garg, Tanmay, et al.
Published: (2024)
by: Garg, Tanmay, et al.
Published: (2024)
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers
by: Mertes, Silvan, et al.
Published: (2024)
by: Mertes, Silvan, et al.
Published: (2024)
Boost Your Human Image Generation Model via Direct Preference Optimization
by: Na, Sanghyeon, et al.
Published: (2024)
by: Na, Sanghyeon, et al.
Published: (2024)
CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models
by: Bouayed, Aymene Mohammed, et al.
Published: (2024)
by: Bouayed, Aymene Mohammed, et al.
Published: (2024)
Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective
by: Zhao, Xiaoming, et al.
Published: (2025)
by: Zhao, Xiaoming, et al.
Published: (2025)
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
by: Guimard, Quentin, et al.
Published: (2025)
by: Guimard, Quentin, et al.
Published: (2025)
Scale-Wise VAR is Secretly Discrete Diffusion
by: Kumar, Amandeep, et al.
Published: (2025)
by: Kumar, Amandeep, et al.
Published: (2025)
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training
by: Wang, Yulin, et al.
Published: (2024)
by: Wang, Yulin, et al.
Published: (2024)
Leaf-Based Plant Disease Detection and Explainable AI
by: Sagar, Saurav, et al.
Published: (2023)
by: Sagar, Saurav, et al.
Published: (2023)
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
by: Jha, Saurav, et al.
Published: (2024)
by: Jha, Saurav, et al.
Published: (2024)
To Trust Or Not To Trust Your Vision-Language Model's Prediction
by: Dong, Hao, et al.
Published: (2025)
by: Dong, Hao, et al.
Published: (2025)
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification
by: Tan, Zhaorui, et al.
Published: (2024)
by: Tan, Zhaorui, et al.
Published: (2024)
Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors
by: Zhai, Guangyao, et al.
Published: (2025)
by: Zhai, Guangyao, et al.
Published: (2025)
Test-Time Training with KV Binding Is Secretly Linear Attention
by: Liu, Junchen, et al.
Published: (2026)
by: Liu, Junchen, et al.
Published: (2026)
Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification
by: Hinns, James, et al.
Published: (2025)
by: Hinns, James, et al.
Published: (2025)
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
by: Donnelly, Jon, et al.
Published: (2021)
by: Donnelly, Jon, et al.
Published: (2021)
Make Your LVLM KV Cache More Lightweight
by: Chen, Xihao, et al.
Published: (2026)
by: Chen, Xihao, et al.
Published: (2026)
Impact of Adversarial Attacks on Deep Learning Model Explainability
by: Nur, Gazi Nazia, et al.
Published: (2024)
by: Nur, Gazi Nazia, et al.
Published: (2024)
HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation
by: Kumbong, Hermann, et al.
Published: (2025)
by: Kumbong, Hermann, et al.
Published: (2025)
ProxT2I: Efficient Reward-Guided Text-to-Image Generation via Proximal Diffusion
by: Fang, Zhenghan, et al.
Published: (2025)
by: Fang, Zhenghan, et al.
Published: (2025)
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
by: Metzen, Jan Hendrik, et al.
Published: (2023)
by: Metzen, Jan Hendrik, et al.
Published: (2023)
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
by: Xu, Kaiwen, et al.
Published: (2023)
by: Xu, Kaiwen, et al.
Published: (2023)
Generative Classifiers Avoid Shortcut Solutions
by: Li, Alexander C., et al.
Published: (2025)
by: Li, Alexander C., et al.
Published: (2025)
Unified Continuous Generative Models
by: Sun, Peng, et al.
Published: (2025)
by: Sun, Peng, et al.
Published: (2025)
PoM: Efficient Image and Video Generation with the Polynomial Mixer
by: Picard, David, et al.
Published: (2024)
by: Picard, David, et al.
Published: (2024)
Similar Items
-
Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated
by: Yang, Muli, et al.
Published: (2026) -
Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density
by: Balestriero, Randall, et al.
Published: (2025) -
VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution
by: Zhu, Yixuan, et al.
Published: (2026) -
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
by: Chung, Hyungjin, et al.
Published: (2024) -
Your Diffusion Model is Secretly a Certifiably Robust Classifier
by: Chen, Huanran, et al.
Published: (2024)