:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Wenxiao, Zhuang, Weiming, Lyu, Lingjuan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2406.07536
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FedWon: Triumphing Multi-domain Federated Learning Without Normalization
by: Zhuang, Weiming, et al.
Published: (2023)

UNIFORM: Unifying Knowledge from Large-scale and Diverse Pre-trained Models
by: Wang, Yimu, et al.
Published: (2025)

Replay-Free Continual Low-Rank Adaptation with Dynamic Memory
by: Chen, Huancheng, et al.
Published: (2024)

Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model Adaptation
by: Sun, Guangyu, et al.
Published: (2025)

ExpVG: Investigating the Design Space of Visual Grounding in Multimodal Large Language Model
by: Kang, Weitai, et al.
Published: (2025)

FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free
by: Yuan, Haolin, et al.
Published: (2025)

VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations
by: Patel, Maitreya, et al.
Published: (2026)

Parameter-Selective Continual Test-Time Adaptation
by: Tian, Jiaxu, et al.
Published: (2024)

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
by: Wang, Zhenting, et al.
Published: (2023)

Empirical Recipes for Efficient and Compact Vision-Language Models
by: Huang, Jiabo, et al.
Published: (2026)

Training-Free Layout-to-Image Generation with Marginal Attention Constraints
by: Chen, Huancheng, et al.
Published: (2024)

A Simple Background Augmentation Method for Object Detection with Diffusion Model
by: Li, Yuhang, et al.
Published: (2024)

Confidence-aware Contrastive Learning for Selective Classification
by: Wu, Yu-Chang, et al.
Published: (2024)

How to Trace Latent Generative Model Generated Images without Artificial Watermark?
by: Wang, Zhenting, et al.
Published: (2024)

Towards Compatible Fine-tuning for Vision-Language Model Updates
by: Wang, Zhengbo, et al.
Published: (2024)

Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
by: Sehwag, Vikash, et al.
Published: (2024)

Fast and Generalizable NeRF Architecture Selection for Satellite Scene Reconstruction
by: Chakraborty, Devjyoti, et al.
Published: (2026)

COALA: A Practical and Vision-Centric Federated Learning Platform
by: Zhuang, Weiming, et al.
Published: (2024)

SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching
by: Lee, Yongmin, et al.
Published: (2024)

UniCompress: Token Compression for Unified Vision-Language Understanding and Generation
by: Wang, Ziyao, et al.
Published: (2026)

Concepts or Skills? Rethinking Instruction Selection for Multi-modal Models
by: Bai, Andrew, et al.
Published: (2025)

Fast-DiM: Towards Fast Diffusion Morphs
by: Blasingame, Zander W., et al.
Published: (2023)

A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances
by: Moser, Brian B., et al.
Published: (2025)

VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning
by: Fang, Shijie, et al.
Published: (2024)

Hierarchical Selective Classification
by: Goren, Shani, et al.
Published: (2024)

Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection
by: Wan, Zhijing, et al.
Published: (2025)

Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
by: Croce, Francesco, et al.
Published: (2023)

Bridge the Modality and Capability Gaps in Vision-Language Model Selection
by: Yi, Chao, et al.
Published: (2024)

Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative Models
by: He, Jack, et al.
Published: (2024)

Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data
by: Fung, Clement, et al.
Published: (2023)

Coreset Selection for Object Detection
by: Lee, Hojun, et al.
Published: (2024)

On the Limits of Token Reduction for Efficient Unified Vision Language Training
by: Chen, Siyi, et al.
Published: (2026)

TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion Models
by: Sun, Haojun, et al.
Published: (2024)

Low-Data Supervised Adaptation Outperforms Prompting for Cloud Segmentation Under Domain Shift
by: Kethavath, Harshith, et al.
Published: (2026)

Alignment of Diffusion Models: Fundamentals, Challenges, and Future
by: Liu, Buhua, et al.
Published: (2024)

Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification
by: Huseljic, Denis, et al.
Published: (2024)

Mixture-of-Top-k Attention: Efficient Attention via Scalable Fast Weights
by: Wen, Qishuai, et al.
Published: (2026)

Clustering-Based Validation Splits for Model Selection under Domain Shift
by: Napoli, Andrea, et al.
Published: (2024)

Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance
by: Li, Muyang, et al.
Published: (2026)

Beyond Memorization: Selective Learning for Copyright-Safe Diffusion Model Training
by: Kothandaraman, Divya, et al.
Published: (2025)