Cover Image

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gong, Ruihao, Yong, Yang, Wang, Zining, Guo, Jinyang, Wei, Xiuying, Ma, Yuqing, Liu, Xianglong
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection
by: Fan, Yunqian, et al.
Published: (2024)

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models
by: Wnag, Zining, et al.
Published: (2024)

HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration
by: Huang, Yushi, et al.
Published: (2024)

MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping
by: Huang, Yushi, et al.
Published: (2025)

Collaborative Few-Step Distillation and Low-Bit Quantization for Wan2.2 Dual-Expert Video Diffusion Models
by: Du, Jinyang, et al.
Published: (2026)

Test-time Sparsity for Extreme Fast Action Diffusion
by: Ji, Kangye, et al.
Published: (2026)

Optimal Transport Based Unsupervised Restoration Learning Exploiting Degradation Sparsity
by: Wen, Fei, et al.
Published: (2023)

QVD: Post-training Quantization for Video Diffusion Models
by: Tian, Shilong, et al.
Published: (2024)

DiffSparse: Accelerating Diffusion Transformers with Learned Token Sparsity
by: Zhu, Haowei, et al.
Published: (2026)

PTQ4SAM: Post-Training Quantization for Segment Anything
by: Lv, Chengtao, et al.
Published: (2024)

AFTER: Mitigating the Object Hallucination of LVLM via Adaptive Factual-Guided Activation Editing
by: Wang, Tianbo, et al.
Published: (2026)

Learnable Sparsity for Vision Generative Models
by: Zhang, Yang, et al.
Published: (2024)

CASP: Compression of Large Multimodal Models Based on Attention Sparsity
by: Gholami, Mohsen, et al.
Published: (2025)

Compact Attention: Exploiting Structured Spatio-Temporal Sparsity for Fast Video Generation
by: Li, Qirui, et al.
Published: (2025)

FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion
by: Liu, Akide, et al.
Published: (2025)

UniPTS: A Unified Framework for Proficient Post-Training Sparsity
by: Xie, Jingjing, et al.
Published: (2024)

SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference
by: Khaki, Samir, et al.
Published: (2025)

Blind Source Separation Based on Sparsity
by: Li, Zhongxuan
Published: (2025)

GenLie: A Global-Enhanced Lie Detection Network under Sparsity and Semantic Interference
by: Zhang, Zongshun, et al.
Published: (2026)

VisionPulse: Dynamic Visual Sparsity for Efficient Multimodal Reasoning
by: Xu, Hengbo, et al.
Published: (2026)

Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning
by: Upadhyay, Richa, et al.
Published: (2025)

MaxQ: Multi-Axis Query for N:M Sparsity Network
by: Xiang, Jingyang, et al.
Published: (2023)

Spatial Re-parameterization for N:M Sparsity
by: Zhang, Yuxin, et al.
Published: (2023)

OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation
by: Ozaydin, Baran, et al.
Published: (2024)

AdaSpark: Adaptive Sparsity for Efficient Long-Video Understanding
by: Li, Handong, et al.
Published: (2026)

Dynamic Sparse Training with Structured Sparsity
by: Lasby, Mike, et al.
Published: (2023)

SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation
by: Wu, Zhuguanyu, et al.
Published: (2026)

LAPA: Log-Domain Prediction-Driven Dynamic Sparsity Accelerator for Transformer Model
by: Wang, Huizheng, et al.
Published: (2025)

Attentive Fine-Grained Structured Sparsity for Image Restoration
by: Oh, Junghun, et al.
Published: (2022)

Attention Sparsity is Input-Stable: Training-Free Sparse Attention for Video Generation via Offline Sparsity Profiling and Online QK Co-Clustering
by: Luo, Jiayi, et al.
Published: (2026)

Learning Sparsity for Effective and Efficient Music Performance Question Answering
by: Diao, Xingjian, et al.
Published: (2025)

Resolving Evidence Sparsity: Agentic Context Engineering for Long-Document Understanding
by: Liu, Keliang, et al.
Published: (2025)

Understanding and Harnessing Sparsity in Unified Multimodal Models
by: He, Shwai, et al.
Published: (2025)

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
by: Huang, Yushi, et al.
Published: (2023)

Dual-Stage Invariant Continual Learning under Extreme Visual Sparsity
by: Zhang, Rangya, et al.
Published: (2026)

LLMC+: Benchmarking Vision-Language Model Compression with a Plug-and-play Toolkit
by: Lv, Chengtao, et al.
Published: (2025)

Unsupervised Real-World Denoising: Sparsity is All You Need
by: Chihaoui, Hamadi, et al.
Published: (2025)

Masked Spatial Propagation Network for Sparsity-Adaptive Depth Refinement
by: Jun, Jinyoung, et al.
Published: (2024)

Blind Image Deblurring with FFT-ReLU Sparsity Prior
by: Radi, Abdul Mohaimen Al, et al.
Published: (2024)

HeSS: Head Sensitivity Score for Sparsity Redistribution in VGGT
by: Kim, Yongsung, et al.
Published: (2026)