Multi Dimensional Pruning A Unified

Multi-Dimensional Pruning: A Unified Framework for Model Compression

Authors: Jinyang Guo, Wanli Ouyang, Dong Xu Description: In this work, we propose a

MDP: Multidimensional Vision Model Pruning with Latency Constraint - CVPR 2025

MDP:

[CVPR2020 Oral] Multi-Dimensional Pruning: A Unified Framework for Model Compression

Paper on: ...

Collaborative Multi-Mode Pruning for Vision-Language Models | CVPR 2026

Welcome to Our CVPR 2026 Accepted Work: Collaborative

EfficientML.ai Lecture 3 - Pruning and Sparsity (Part I) (MIT 6.5940, Fall 2023)

EfficientML.ai Lecture 3 -

Compressing Neural Networks for Embedded AI: Pruning, Projection, and Quantization

This Tech Talk explores how to compress neural network models so they can run efficiently on embedded systems...

UniM: A Unified Any-to-Any Interleaved Multimodal Benchmark (CVPR 2026)

UniM: A

CHAP’NN: Efficient Inference of CNNs via Channel Pruning

Simplifying the Structure of a Trained Dnn ...

[AutoMLConf'22]: GSparsity: Unifying Network Pruning and Neural Architecture Search by Group Teaser

The Paper can be read here: https://automl.cc/wp-content/uploads/2022/07/gsparsity_unifying_network_pru.pdf.

ACM ICMR 2026 A Unified Object Centric Spatio Temporal Graph Reasoning Framework for AVQA

ACM ICMR 2026 A Unified Object Centric Spatio Temporal Graph Reasoning Framework for AVQA

Model Pruning & Quantization in TinyML | Seminar Lecture 2 (Practical Session)

This video is a recording of the second session from our TinyML seminar at Mälardalen University (MDU), focused on...

[CVPR 2025 - Short] Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling

Full demo video here: https://youtu.be/bQD3zj0IbHo.

Pruning and Quantizing ML Models With One Shot Without Retraining

Neural Magic's teams have adapted the advanced