Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Xidong, Gao, Shangqian, Zhang, Zeyu, Li, Zhenzhen, Bao, Runxue, Zhang, Yanfu, Wang, Xiaoqian, Huang, Heng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
by: Ganjdanesh, Alireza, et al.
Published: (2024)
by: Ganjdanesh, Alireza, et al.
Published: (2024)
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
by: Ganjdanesh, Alireza, et al.
Published: (2024)
by: Ganjdanesh, Alireza, et al.
Published: (2024)
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
by: Shirkavand, Reza, et al.
Published: (2024)
by: Shirkavand, Reza, et al.
Published: (2024)
An Information Theory-inspired Strategy for Automatic Network Pruning
by: Zheng, Xiawu, et al.
Published: (2021)
by: Zheng, Xiawu, et al.
Published: (2021)
AutoPrune: Each Complexity Deserves a Pruning Policy
by: Wang, Hanshi, et al.
Published: (2025)
by: Wang, Hanshi, et al.
Published: (2025)
Pruning Everything, Everywhere, All at Once
by: Nascimento, Gustavo Henrique do, et al.
Published: (2025)
by: Nascimento, Gustavo Henrique do, et al.
Published: (2025)
GeoMotionGPT: Geometry-Aligned Motion Understanding with Large Language Models
by: Ye, Zhankai, et al.
Published: (2026)
by: Ye, Zhankai, et al.
Published: (2026)
ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation
by: Yang, Xiaomeng, et al.
Published: (2025)
by: Yang, Xiaomeng, et al.
Published: (2025)
Unwarping Screen Content Images via Structure-texture Enhancement Network and Transformation Self-estimation
by: Xiao, Zhenzhen, et al.
Published: (2025)
by: Xiao, Zhenzhen, et al.
Published: (2025)
RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network
by: Luu, Van-Tin, et al.
Published: (2025)
by: Luu, Van-Tin, et al.
Published: (2025)
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection
by: Ganjdanesh, Alireza, et al.
Published: (2024)
by: Ganjdanesh, Alireza, et al.
Published: (2024)
Automatic Structured Pruning for Efficient Architecture in Federated Learning
by: Nguyen, Thai Vu, et al.
Published: (2024)
by: Nguyen, Thai Vu, et al.
Published: (2024)
Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
by: Qu, Xiaoyi, et al.
Published: (2025)
by: Qu, Xiaoyi, et al.
Published: (2025)
VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice
by: Liu, Shuming, et al.
Published: (2026)
by: Liu, Shuming, et al.
Published: (2026)
AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction
by: Li, Siqi, et al.
Published: (2024)
by: Li, Siqi, et al.
Published: (2024)
AutoPresent: Designing Structured Visuals from Scratch
by: Ge, Jiaxin, et al.
Published: (2025)
by: Ge, Jiaxin, et al.
Published: (2025)
MagicGeo: Training-Free Text-Guided Geometric Diagram Generation
by: Wang, Junxiao, et al.
Published: (2025)
by: Wang, Junxiao, et al.
Published: (2025)
Training Neural Networks from Scratch with Parallel Low-Rank Adapters
by: Huh, Minyoung, et al.
Published: (2024)
by: Huh, Minyoung, et al.
Published: (2024)
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning
by: Chen, Tianyi, et al.
Published: (2024)
by: Chen, Tianyi, et al.
Published: (2024)
Boosting Pruned Networks with Linear Over-parameterization
by: Qian, Yu, et al.
Published: (2022)
by: Qian, Yu, et al.
Published: (2022)
A New Hybrid Model of Generative Adversarial Network and You Only Look Once Algorithm for Automatic License-Plate Recognition
by: Shafiezadeh, Behnoud, et al.
Published: (2025)
by: Shafiezadeh, Behnoud, et al.
Published: (2025)
QP-SNN: Quantized and Pruned Spiking Neural Networks
by: Wei, Wenjie, et al.
Published: (2025)
by: Wei, Wenjie, et al.
Published: (2025)
Variance-Based Pruning for Accelerating and Compressing Trained Networks
by: Berisha, Uranik, et al.
Published: (2025)
by: Berisha, Uranik, et al.
Published: (2025)
Towards Generalized and Training-Free Text-Guided Semantic Manipulation
by: Hong, Yu, et al.
Published: (2025)
by: Hong, Yu, et al.
Published: (2025)
Explore the vulnerability of black-box models via diffusion models
by: Shi, Jiacheng, et al.
Published: (2025)
by: Shi, Jiacheng, et al.
Published: (2025)
Neural Network Optimization Reimagined: Decoupled Techniques for Scratch and Fine-Tuning
by: Ning, Xin, et al.
Published: (2026)
by: Ning, Xin, et al.
Published: (2026)
Block Pruning for Enhanced Efficiency in Convolutional Neural Networks
by: Wu, Cheng-En, et al.
Published: (2023)
by: Wu, Cheng-En, et al.
Published: (2023)
Sparse by Rule: Probability-Based N:M Pruning for Spiking Neural Networks
by: Ye, Shuhan, et al.
Published: (2025)
by: Ye, Shuhan, et al.
Published: (2025)
Training-Free Restoration of Pruned Neural Networks
by: Lee, Keonho, et al.
Published: (2025)
by: Lee, Keonho, et al.
Published: (2025)
A Watermark for Auto-Regressive Image Generation Models
by: Wu, Yihan, et al.
Published: (2025)
by: Wu, Yihan, et al.
Published: (2025)
AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion
by: Jiang, Yitong, et al.
Published: (2023)
by: Jiang, Yitong, et al.
Published: (2023)
You Only Train Once
by: Sakaridis, Christos
Published: (2025)
by: Sakaridis, Christos
Published: (2025)
Adaptive Temporal Motion Guided Graph Convolution Network for Micro-expression Recognition
by: Zhang, Fengyuan, et al.
Published: (2024)
by: Zhang, Fengyuan, et al.
Published: (2024)
AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering
by: Chen, Xiuyuan, et al.
Published: (2023)
by: Chen, Xiuyuan, et al.
Published: (2023)
Only Train Once: Uncertainty-Aware One-Class Learning for Face Authenticity Detection
by: Jiang, Qingchao, et al.
Published: (2026)
by: Jiang, Qingchao, et al.
Published: (2026)
Automatic Pruning Discovery for Large Language Models
by: Kang, Haidong, et al.
Published: (2025)
by: Kang, Haidong, et al.
Published: (2025)
Continuous Perception Matters: Diagnosing Temporal Integration Failures in Multimodal Models
by: Wang, Zeyu, et al.
Published: (2024)
by: Wang, Zeyu, et al.
Published: (2024)
Multi-Human Mesh Recovery with Transformers
by: Wang, Zeyu, et al.
Published: (2024)
by: Wang, Zeyu, et al.
Published: (2024)
Partial Forward Blocking: A Novel Data Pruning Paradigm for Lossless Training Acceleration
by: Wu, Dongyue, et al.
Published: (2025)
by: Wu, Dongyue, et al.
Published: (2025)
PSE-Net: Channel Pruning for Convolutional Neural Networks with Parallel-subnets Estimator
by: Wang, Shiguang, et al.
Published: (2024)
by: Wang, Shiguang, et al.
Published: (2024)
Similar Items
-
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
by: Ganjdanesh, Alireza, et al.
Published: (2024) -
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
by: Ganjdanesh, Alireza, et al.
Published: (2024) -
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
by: Shirkavand, Reza, et al.
Published: (2024) -
An Information Theory-inspired Strategy for Automatic Network Pruning
by: Zheng, Xiawu, et al.
Published: (2021) -
AutoPrune: Each Complexity Deserves a Pruning Policy
by: Wang, Hanshi, et al.
Published: (2025)