Copertina

Generalization Bounds for Robust Contrastive Learning: From Theory to Practice

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tran, Ngoc N., Tran, Lam, Phan, Hoang, Bui, Anh, Pham, Tung, Tran, Toan, Phung, Dinh, Le, Trung
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All
di: Tran, Quyen, et al.
Pubblicazione: (2023)

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
di: Vuong, Tung-Long, et al.
Pubblicazione: (2025)

Enhancing Domain Adaptation through Prompt Gradient Alignment
di: Phan, Hoang, et al.
Pubblicazione: (2024)

Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
di: Bui, Anh, et al.
Pubblicazione: (2024)

DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation
di: Phung, Hao, et al.
Pubblicazione: (2024)

Enhancing Dataset Distillation via Non-Critical Region Refinement
di: Tran, Minh-Tuan, et al.
Pubblicazione: (2025)

Connective Viewpoints of Signal-to-Noise Diffusion Models
di: Doan, Khanh, et al.
Pubblicazione: (2024)

Supercharged One-step Text-to-Image Diffusion Models with Negative Prompts
di: Nguyen, Viet, et al.
Pubblicazione: (2024)

Improved Training Technique for Shortcut Models
di: Nguyen, Anh, et al.
Pubblicazione: (2025)

NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
di: Tran, Minh-Tuan, et al.
Pubblicazione: (2023)

TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORT
di: Anh, Duy Le Dinh, et al.
Pubblicazione: (2024)

Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modeling
di: Tran, Minh-Tuan, et al.
Pubblicazione: (2026)

Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective
di: Phan, Hoang, et al.
Pubblicazione: (2022)

A High-Quality Robust Diffusion Framework for Corrupted Dataset
di: Dao, Quan, et al.
Pubblicazione: (2023)

CONSTANT: Towards High-Quality One-Shot Handwriting Generation with Patch Contrastive Enhancement and Style-Aware Quantization
di: Le, Anh-Duy, et al.
Pubblicazione: (2026)

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

Enhancing Fine-grained Image Classification through Attentive Batch Training
di: Le, Duy M., et al.
Pubblicazione: (2024)

An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning
di: Tran, Quyen, et al.
Pubblicazione: (2022)

LatentFM: A Latent Flow Matching Approach for Generative Medical Image Segmentation
di: Ngoc, Huynh Trinh, et al.
Pubblicazione: (2025)

Frequency Attention for Knowledge Distillation
di: Pham, Cuong, et al.
Pubblicazione: (2024)

Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation
di: Dao, Quan, et al.
Pubblicazione: (2024)

Adaptive Radial Projection on Fourier Magnitude Spectrum for Document Image Skew Estimation
di: Pham, Luan, et al.
Pubblicazione: (2026)

ShowFlow: From Robust Single Concept to Condition-Free Multi-Concept Generation
di: Hoang, Trong-Vu, et al.
Pubblicazione: (2025)

Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
di: Tran, Minh-Tuan, et al.
Pubblicazione: (2024)

Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation
di: Tran, Minh-Tuan, et al.
Pubblicazione: (2024)

Label-Efficient Cross-Modality Generalization for Liver Segmentation in Multi-Phase MRI
di: Bui-Tran, Quang-Khai, et al.
Pubblicazione: (2025)

MetaAug: Meta-Data Augmentation for Post-Training Quantization
di: Pham, Cuong, et al.
Pubblicazione: (2024)

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features
di: Tran, Le-Anh
Pubblicazione: (2025)

Shape2Animal: Creative Animal Generation from Natural Silhouettes
di: Tran, Quoc-Duy, et al.
Pubblicazione: (2025)

SuMa: A Subspace Mapping Approach for Robust and Effective Concept Erasure in Text-to-Image Diffusion Models
di: Nguyen, Kien, et al.
Pubblicazione: (2025)

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
di: Pham, Cuong, et al.
Pubblicazione: (2024)

CAKE: Real-time Action Detection via Motion Distillation and Background-aware Contrastive Learning
di: Hoang, Hieu, et al.
Pubblicazione: (2026)

FlexEdit: Flexible and Controllable Diffusion-based Object-centric Image Editing
di: Nguyen, Trong-Tung, et al.
Pubblicazione: (2024)

Sharpness-Aware Data Generation for Zero-shot Quantization
di: Hoang-Anh, Dung, et al.
Pubblicazione: (2025)

SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation
di: Nguyen, Thuan Hoang, et al.
Pubblicazione: (2023)

UI-Styler: Ultrasound Image Style Transfer with Class-Aware Prompts for Cross-Device Diagnosis Using a Frozen Black-Box Inference Network
di: Do-Tran, Nhat-Tuong, et al.
Pubblicazione: (2025)

Enhanced Kalman with Adaptive Appearance Motion SORT for Grounded Generic Multiple Object Tracking
di: Anh, Duy Le Dinh, et al.
Pubblicazione: (2024)

Hiding and Recovering Knowledge in Text-to-Image Diffusion Models via Learnable Prompts
di: Bui, Anh, et al.
Pubblicazione: (2024)

Leveraging Neural Radiance Field in Descriptor Synthesis for Keypoints Scene Coordinate Regression
di: Bui, Huy-Hoang, et al.
Pubblicazione: (2024)

Representing 3D sparse map points and lines for camera relocalization
di: Bui, Bach-Thuan, et al.
Pubblicazione: (2024)