Image de couverture de livre

Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hoang, Dung Anh, Le, Cuong Pham anh Trung, Cai, Jianfei, Do, Thanh-Toan
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning 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

Sharpness-Aware Data Generation for Zero-shot Quantization
par: Hoang-Anh, Dung, et autres
Publié: (2025)

MetaAug: Meta-Data Augmentation for Post-Training Quantization
par: Pham, Cuong, et autres
Publié: (2024)

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models
par: Hoang, Dung Anh, et autres
Publié: (2025)

Adaptive Layer-Wise Transformations for Post-Training Quantization of Large Language Models
par: Pham, Cuong, et autres
Publié: (2025)

Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
par: Hoang, Dung Anh, et autres
Publié: (2022)

Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models
par: Pham, Cuong, et autres
Publié: (2025)

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
par: Pham, Cuong, et autres
Publié: (2024)

Frequency Attention for Knowledge Distillation
par: Pham, Cuong, et autres
Publié: (2024)

Supercharged One-step Text-to-Image Diffusion Models with Negative Prompts
par: Nguyen, Viet, et autres
Publié: (2024)

SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher
par: Dao, Trung, et autres
Publié: (2024)

Connective Viewpoints of Signal-to-Noise Diffusion Models
par: Doan, Khanh, et autres
Publié: (2024)

Generalization Bounds for Robust Contrastive Learning: From Theory to Practice
par: Tran, Ngoc N., et autres
Publié: (2023)

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
par: Vuong, Tung-Long, et autres
Publié: (2025)

MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
par: Le, Minh-Quan, et autres
Publié: (2023)

DiffAugment: Diffusion based Long-Tailed Visual Relationship Recognition
par: Gupta, Parul, et autres
Publié: (2024)

Coverage-Constrained Human-AI Cooperation with Multiple Experts
par: Zhang, Zheng, et autres
Publié: (2024)

CONSTANT: Towards High-Quality One-Shot Handwriting Generation with Patch Contrastive Enhancement and Style-Aware Quantization
par: Le, Anh-Duy, et autres
Publié: (2026)

PADM: A Physics-aware Diffusion Model for Attenuation Correction
par: Pham, Trung Kien, et autres
Publié: (2025)

Enhancing Domain Adaptation through Prompt Gradient Alignment
par: Phan, Hoang, et autres
Publié: (2024)

Post-training Quantization for Text-to-Image Diffusion Models with Progressive Calibration and Activation Relaxing
par: Tang, Siao, et autres
Publié: (2023)

Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
par: Garg, Arpit, et autres
Publié: (2023)

SuMa: A Subspace Mapping Approach for Robust and Effective Concept Erasure in Text-to-Image Diffusion Models
par: Nguyen, Kien, et autres
Publié: (2025)

Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition
par: Nguyen, Duc-Anh, et autres
Publié: (2023)

Enhancing Dataset Distillation via Non-Critical Region Refinement
par: Tran, Minh-Tuan, et autres
Publié: (2025)

Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models
par: Gupta, Parul, et autres
Publié: (2024)

Marginalized Generalized IoU (MGIoU): A Unified Objective Function for Optimizing Any Convex Parametric Shapes
par: Le, Duy-Tho, et autres
Publié: (2025)

Learning in the Null Space: Small Singular Values for Continual Learning
par: Pham, Cuong Anh, et autres
Publié: (2026)

Innovative Silicosis and Pneumonia Classification: Leveraging Graph Transformer Post-hoc Modeling and Ensemble Techniques
par: Bui, Bao Q., et autres
Publié: (2024)

EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models
par: Liu, Xuewen, et autres
Publié: (2024)

Improved Training Technique for Shortcut Models
par: Nguyen, Anh, et autres
Publié: (2025)

A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions
par: Le, Anh, et autres
Publié: (2025)

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
par: Lee, Dongyeun, et autres
Publié: (2025)

PASS: Peer-Agreement based Sample Selection for training with Noisy Labels
par: Garg, Arpit, et autres
Publié: (2023)

Learning to Complement with Multiple Humans
par: Zhang, Zheng, et autres
Publié: (2023)

Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
par: Bui, Anh, et autres
Publié: (2024)

Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting
par: Tran, Bao Q., et autres
Publié: (2024)

KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All
par: Tran, Quyen, et autres
Publié: (2023)

Transfer Learning in ECG Diagnosis: Is It Effective?
par: Nguyen, Cuong V., et autres
Publié: (2024)

Provably Improving Generalization of Few-Shot Models with Synthetic Data
par: Nguyen, Lan-Cuong, et autres
Publié: (2025)

Hiding and Recovering Knowledge in Text-to-Image Diffusion Models via Learnable Prompts
par: Bui, Anh, et autres
Publié: (2024)