Imagen de Portada

Lookahead Drifting Model

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Guoqiang, Niwa, Kenta, Kleijn, W. Bastiaan
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

High Quality Diffusion Distillation on a Single GPU with Relative and Absolute Position Matching
por: Zhang, Guoqiang, et al.
Publicado: (2025)

A Unified View of Score-Based and Drifting Models
por: Lai, Chieh-Hsin, et al.
Publicado: (2026)

Training Self-localization Models for Unseen Unfamiliar Places via Teacher-to-Student Data-Free Knowledge Transfer
por: Tsukahara, Kenta, et al.
Publicado: (2024)

Holistic Continual Learning under Concept Drift with Adaptive Memory Realignment
por: Ashrafee, Alif, et al.
Publicado: (2025)

LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
por: Liu, Xuan, et al.
Publicado: (2025)

Turning Drift into Constraint: Robust Reasoning Alignment in Non-Stationary Multi-Stream Environments
por: Yang, Xiaoyu, et al.
Publicado: (2025)

Dense Depth from Event Focal Stack
por: Horikawa, Kenta, et al.
Publicado: (2024)

Text-to-image Diffusion Models in Generative AI: A Survey
por: Zhang, Chenshuang, et al.
Publicado: (2023)

AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
por: Zhang, Yabin, et al.
Publicado: (2024)

E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models
por: Zhang, Shengjun, et al.
Publicado: (2026)

Olaf-World: Orienting Latent Actions for Video World Modeling
por: Jiang, Yuxin, et al.
Publicado: (2026)

Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models
por: Wu, Xiaoyu, et al.
Publicado: (2024)

MoQE: Improve Quantization Model performance via Mixture of Quantization Experts
por: Zhang, Jinhao, et al.
Publicado: (2025)

Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter
por: Song, Suqi, et al.
Publicado: (2024)

Integration Flow Models
por: Wang, Jingjing, et al.
Publicado: (2025)

LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
por: Zhang, Yabin, et al.
Publicado: (2024)

Exploring the Transferability of Visual Prompting for Multimodal Large Language Models
por: Zhang, Yichi, et al.
Publicado: (2024)

ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model
por: Wang, Guanchun, et al.
Publicado: (2025)

PRISM: Distributed Inference for Foundation Models at Edge
por: Qazi, Muhammad Azlan, et al.
Publicado: (2025)

Temporal Test-Time Adaptation with State-Space Models
por: Schirmer, Mona, et al.
Publicado: (2024)

Large-scale Reinforcement Learning for Diffusion Models
por: Zhang, Yinan, et al.
Publicado: (2024)

Personalized Federated Training of Diffusion Models with Privacy Guarantees
por: Patel, Kumar Kshitij, et al.
Publicado: (2025)

Revisiting Model Stitching In the Foundation Model Era
por: Mai, Zheda, et al.
Publicado: (2026)

ChatGPT Encounters Morphing Attack Detection: Zero-Shot MAD with Multi-Modal Large Language Models and General Vision Models
por: Zhang, Haoyu, et al.
Publicado: (2025)

Bridging Remote Sensors with Multisensor Geospatial Foundation Models
por: Han, Boran, et al.
Publicado: (2024)

VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models
por: Yu, Xinlei, et al.
Publicado: (2025)

Zero-Shot Transfer Capabilities of the Sundial Foundation Model for Leaf Area Index Forecasting
por: Zhang, Peining, et al.
Publicado: (2025)

Diffusion Models: A Comprehensive Survey of Methods and Applications
por: Yang, Ling, et al.
Publicado: (2022)

Structure-Guided Adversarial Training of Diffusion Models
por: Yang, Ling, et al.
Publicado: (2024)

EfficientViT-SAM: Accelerated Segment Anything Model Without Accuracy Loss
por: Zhang, Zhuoyang, et al.
Publicado: (2024)

Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise
por: Zhang, Zhenkai, et al.
Publicado: (2023)

Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
por: Li, Yumeng, et al.
Publicado: (2024)

Domain-Aware Fine-Tuning of Foundation Models
por: Kaplan, Ugur Ali, et al.
Publicado: (2024)

Image Captions are Natural Prompts for Text-to-Image Models
por: Lei, Shiye, et al.
Publicado: (2023)

SafeDreamer: Safe Reinforcement Learning with World Models
por: Huang, Weidong, et al.
Publicado: (2023)

Exploring Perceptual Limitation of Multimodal Large Language Models
por: Zhang, Jiarui, et al.
Publicado: (2024)

REG: Rectified Gradient Guidance for Conditional Diffusion Models
por: Gao, Zhengqi, et al.
Publicado: (2025)

Editable Concept Bottleneck Models
por: Hu, Lijie, et al.
Publicado: (2024)

EVO-LRP: Evolutionary Optimization of LRP for Interpretable Model Explanations
por: Zhang, Emerald, et al.
Publicado: (2025)

SafeFix: Targeted Model Repair via Controlled Image Generation
por: Xu, Ouyang, et al.
Publicado: (2025)