Multi Dimensional Pruning A Unified

Media Summary: Authors: Jinyang Guo, Wanli Ouyang, Dong Xu Description: In this work, we propose a Welcome to Our CVPR 2026 Accepted Work: Collaborative MACEDON : Supporting Programmers with Real-Time

Multi Dimensional Pruning A Unified - Detailed Analysis & Overview

Authors: Jinyang Guo, Wanli Ouyang, Dong Xu Description: In this work, we propose a Welcome to Our CVPR 2026 Accepted Work: Collaborative MACEDON : Supporting Programmers with Real-Time Authors: Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, Song Han Description: We present ... Progressive layout of MDS guided by user steering. Companion video to InfoVis ... Simplifying the Structure of a Trained Dnn ...

This Tech Talk explores how to compress neural network models so they can run efficiently on embedded systems without ...

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Multi-Dimensional Pruning: A Unified Framework for Model Compression

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

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

MACEDON : Supporting Programmers with Real-Time Multi-Dimensional Code Evaluation and Optimization

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

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy

Steerable, Progressive Multidimensional Scaling

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

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

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

EMEA 2021 Student Forum: Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for...

CHAP’NN: Efficient Inference of CNNs via Channel Pruning

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Multi-Dimensional Pruning: A Unified Framework for Model Compression

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: Multidimensional Vision Model Pruning with Latency Constraint - CVPR 2025

MDP:

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

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

Welcome to Our CVPR 2026 Accepted Work: Collaborative

MACEDON : Supporting Programmers with Real-Time Multi-Dimensional Code Evaluation and Optimization

MACEDON : Supporting Programmers with Real-Time Multi-Dimensional Code Evaluation and Optimization

MACEDON : Supporting Programmers with Real-Time

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

[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.

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy

Authors: Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, Song Han Description: We present ...

Steerable, Progressive Multidimensional Scaling

Steerable, Progressive Multidimensional Scaling

http://www.cs.ubc.ca/labs/imager/tr/2004/mdsteer/ Progressive layout of MDS guided by user steering. Companion video to InfoVis ...

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

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

UniM: A

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

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

EfficientML.ai Lecture 3 -

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

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

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

EMEA 2021 Student Forum: Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for...

EMEA 2021 Student Forum: Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for...

EMEA 2021 Student Forum

CHAP’NN: Efficient Inference of CNNs via Channel Pruning

CHAP’NN: Efficient Inference of CNNs via Channel Pruning

Simplifying the Structure of a Trained Dnn ...

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

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 without ...