Cover Image

Neural Network Optimization Reimagined: Decoupled Techniques for Scratch and Fine-Tuning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ning, Xin, Li, Qiankun, Huang, Xiaolong, Chen, Qiupu, He, Feng, Li, Weijun, Tiwari, Prayag, Liu, Xinwang
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HG-Lane: High-Fidelity Generation of Lane Scenes under Adverse Weather and Lighting Conditions without Re-annotation
by: Zhao, Daichao, et al.
Published: (2026)

One Step Learning, One Step Review
by: Huang, Xiaolong, et al.
Published: (2024)

Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation
by: Wang, Changshuo, et al.
Published: (2025)

Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains
by: Li, Qiankun, et al.
Published: (2025)

Overtake Detection in Trucks Using CAN Bus Signals: A Comparative Study of Machine Learning Methods
by: Alonso-Fernandez, Fernando, et al.
Published: (2025)

Hard Region Aware Network for Remote Sensing Change Detection
by: Li, Zhenglai, et al.
Published: (2023)

PROFIT: A Specialized Optimizer for Deep Fine Tuning
by: Chakravarthy, Anirudh S, et al.
Published: (2024)

Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning
by: Luo, Liwei, et al.
Published: (2025)

Decoupled Training with Local Reinforcement Fine-Tuning in Federated Learning
by: Ma, Yuting, et al.
Published: (2026)

Exploring the correlation between the type of music and the emotions evoked: A study using subjective questionnaires and EEG
by: Jankowska, Jelizaveta, et al.
Published: (2025)

Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification
by: Lan, Long, et al.
Published: (2024)

LIFT+: Lightweight Fine-Tuning for Long-Tail Learning
by: Shi, Jiang-Xin, et al.
Published: (2025)

M3Net: A Macro-to-Meso-to-Micro Clinical-inspired Hierarchical 3D Network for Pulmonary Nodule Classification
by: Li, Jinyue, et al.
Published: (2026)

Deep Network Pruning: A Comparative Study on CNNs in Face Recognition
by: Alonso-Fernandez, Fernando, et al.
Published: (2024)

Combined CNN and ViT features off-the-shelf: Another astounding baseline for recognition
by: Alonso-Fernandez, Fernando, et al.
Published: (2024)

Self-Calibrated Consistency can Fight Back for Adversarial Robustness in Vision-Language Models
by: Liu, Jiaxiang, et al.
Published: (2025)

Drift-Resilient Temporal Priors for Visual Tracking
by: Huang, Yuqing, et al.
Published: (2026)

Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques
by: Gowda, Shreyank N, et al.
Published: (2024)

Part-aware Shape Generation with Latent 3D Diffusion of Neural Voxel Fields
by: Huang, Yuhang, et al.
Published: (2024)

PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning
by: Tian, Songsong, et al.
Published: (2024)

From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy
by: He, Feng, et al.
Published: (2025)

FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image
by: Feng, Xiang, et al.
Published: (2023)

Learning Disentangled Representations for Generalized Multi-view Clustering
by: Zou, Xin, et al.
Published: (2026)

Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning
by: Jiang, Bo, et al.
Published: (2025)

DAM-Net: Domain Adaptation Network with Micro-Labeled Fine-Tuning for Change Detection
by: Chen, Hongjia, et al.
Published: (2025)

Decoupling Contact for Fine-Grained Motion Style Transfer
by: Tang, Xiangjun, et al.
Published: (2024)

Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
by: Ha, Seokhyeon, et al.
Published: (2023)

On the Suitability of Reinforcement Fine-Tuning to Visual Tasks
by: Chen, Xiaxu, et al.
Published: (2025)

Wavelet-Decoupling Contrastive Enhancement Network for Fine-Grained Skeleton-Based Action Recognition
by: Chang, Haochen, et al.
Published: (2024)

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
by: Shi, Jiang-Xin, et al.
Published: (2023)

Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
by: Wu, Xidong, et al.
Published: (2024)

Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation
by: Xing, Xiaoying, et al.
Published: (2025)

Augmented Neural Fine-Tuning for Efficient Backdoor Purification
by: Karim, Nazmul, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
by: Liang, Dingkang, et al.
Published: (2024)

Towards Fully Decoupled End-to-End Person Search
by: Zhang, Pengcheng, et al.
Published: (2023)

Decoupling Bias, Aligning Distributions: Synergistic Fairness Optimization for Deepfake Detection
by: Ding, Feng, et al.
Published: (2025)

EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching
by: Chen, Xinwang, et al.
Published: (2024)

Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for Vision
by: Li, Minglei, et al.
Published: (2024)

DePT: Decoupled Prompt Tuning
by: Zhang, Ji, et al.
Published: (2023)

Beyond Fine-Tuning: A Systematic Study of Sampling Techniques in Personalized Image Generation
by: Soboleva, Vera, et al.
Published: (2025)