Imagen de Portada

Assessing Model Generalization in Vicinity

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Yuchi, Sun, Yifan, Wang, Jingdong, Zheng, Liang
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning 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

Optimizing Calibration by Gaining Aware of Prediction Correctness
por: Liu, Yuchi, et al.
Publicado: (2024)

Structuring GUI Elements through Vision Language Models: Towards Action Space Generation
por: Xu, Yi, et al.
Publicado: (2025)

Enhancing Diffusion-Based Quantitatively Controllable Image Generation via Matrix-Form EDM and Adaptive Vicinal Training
por: Ding, Xin, et al.
Publicado: (2026)

Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinity and Auxiliary Regularization
por: Ding, Xin, et al.
Publicado: (2025)

Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds
por: Li, Liuzhuozheng, et al.
Publicado: (2026)

Direct Motion Models for Assessing Generated Videos
por: Allen, Kelsey, et al.
Publicado: (2025)

Generative AI for Urban Planning: Synthesizing Satellite Imagery via Diffusion Models
por: Wang, Qingyi, et al.
Publicado: (2025)

LokiTalk: Learning Fine-Grained and Generalizable Correspondences to Enhance NeRF-based Talking Head Synthesis
por: Li, Tianqi, et al.
Publicado: (2024)

Correlation Analysis of Generative Models
por: Li, Zhengguo, et al.
Publicado: (2026)

Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?
por: You, Zebin, et al.
Publicado: (2024)

Assessing Open-world Forgetting in Generative Image Model Customization
por: Laria, Héctor, et al.
Publicado: (2024)

AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models
por: Yin, Zhipeng, et al.
Publicado: (2025)

SGW-based Multi-Task Learning in Vision Tasks
por: Zhang, Ruiyuan, et al.
Publicado: (2024)

Multimodal Adaptive Retrieval Augmented Generation through Internal Representation Learning
por: Du, Ruoshuang, et al.
Publicado: (2026)

Progressive Compositionality in Text-to-Image Generative Models
por: Han, Evans Xu, et al.
Publicado: (2024)

Adaptive Equilibrium: Dynamic Weighting Framework for Generalized Interruption of DeepFake Models
por: Zheng, Hongrui, et al.
Publicado: (2026)

Disentangled Representation Learning with Transmitted Information Bottleneck
por: Dang, Zhuohang, et al.
Publicado: (2023)

SVGen: Interpretable Vector Graphics Generation with Large Language Models
por: Wang, Feiyu, et al.
Publicado: (2025)

Pix2Fact: When Vision Is Not Enough -- Benchmarking Fine-Grained VQA with Web Verification on High-Resolution Real-World Scenes
por: Jiang, Yifan, et al.
Publicado: (2026)

Fractal Generative Models
por: Li, Tianhong, et al.
Publicado: (2025)

VidTwin: Video VAE with Decoupled Structure and Dynamics
por: Wang, Yuchi, et al.
Publicado: (2024)

Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models
por: Wang, Ruiyu, et al.
Publicado: (2025)

M2-Reasoning: Empowering MLLMs with Unified General and Spatial Reasoning
por: AI, Inclusion, et al.
Publicado: (2025)

Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework
por: Yang, Zhengwei, et al.
Publicado: (2024)

Benchmarking Vision, Language, & Action Models in Procedurally Generated, Open Ended Action Environments
por: Guruprasad, Pranav, et al.
Publicado: (2025)

AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models
por: Dai, Xuelong, et al.
Publicado: (2023)

ViTime: Foundation Model for Time Series Forecasting Powered by Vision Intelligence
por: Yang, Luoxiao, et al.
Publicado: (2024)

Concept-Centric Token Interpretation for Vector-Quantized Generative Models
por: Yang, Tianze, et al.
Publicado: (2025)

Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation
por: Hu, Minghui, et al.
Publicado: (2023)

Generative Modeling of Weights: Generalization or Memorization?
por: Zeng, Boya, et al.
Publicado: (2025)

QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain
por: Sun, Wenfang, et al.
Publicado: (2024)

Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
por: Bao, Fan, et al.
Publicado: (2024)

Rethinking Fine-Tuning: Unlocking Hidden Capabilities in Vision-Language Models
por: Zhang, Mingyuan, et al.
Publicado: (2025)

Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning
por: Wang, Yuhua, et al.
Publicado: (2026)

Continual SFT Matches Multimodal RLHF with Negative Supervision
por: Zhu, Ke, et al.
Publicado: (2024)

ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Experts
por: Du, Sinan, et al.
Publicado: (2024)

Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devices
por: Gong, Yifan, et al.
Publicado: (2024)

Agentic AIs Are the Missing Paradigm for Out-of-Distribution Generalization in Foundation Models
por: Wang, Xin, et al.
Publicado: (2026)

VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL
por: Park, Kyoungjun, et al.
Publicado: (2025)

Which Model to Transfer? A Survey on Transferability Estimation
por: Ding, Yuhe, et al.
Publicado: (2024)