Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression

preview_player
Показать описание
  1. ComputerVisionFoundation Videos
Рекомендации по теме
Group Sparsity: The 0:01:01

Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression

Support Vector Machine 0:02:19

Support Vector Machine (SVM) in 2 minutes

Automatic Neural Network 0:01:01

Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained...

Class 6 - 1:30:59

Class 6 - Structured sparsity

Single Image Super-Resolution 0:00:21

Single Image Super-Resolution via Directional Group Sparsity and Directional Features

Bilevel Learning of 0:04:44

Bilevel Learning of the Group Lasso Structure | NeurIPS 2018

A Parallel Primal-Dual 0:39:23

A Parallel Primal-Dual Sparse Method for Extreme Classification

Neural Network Compression 0:50:37

Neural Network Compression - model-capacity ans parameter redundancy of neural networks

Week 9 – 1:58:25

Week 9 – Lecture: Group sparsity, world model, and generative adversarial networks (GANs)

Class 11 - 1:21:12

Class 11 - Sparsity Based Regularization

PPDsparse: A Parallel 0:15:21

PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification

Structured Bayesian Pruning 0:04:21

Structured Bayesian Pruning (NIPS 2017 Spotlight video)

DHP: Differentiable Meta 0:07:24

DHP: Differentiable Meta Pruning via HyperNetworks

Video highlights published 0:08:06

Video highlights published on CVPR 2020

Sparse Matrices Beyond 0:54:07

Sparse Matrices Beyond Solvers: Graphs, Biology, and Machine Learning

Some Statistical Results 1:01:19

Some Statistical Results on Deep Learning: Interpolation, Optimality and Sparsity - Guang Cheng

APQ: Joint Search 0:01:01

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

Controllable Sparse Alternatives 0:43:21

Controllable Sparse Alternatives to Softmax

Lecture 24 - 1:15:01

Lecture 24 - Integrative Paradigms of GMs: Regularized Bayesian Methods

Towards Efficient Model 0:05:03

Towards Efficient Model Compression via Learned Global Ranking

[NeurIPS 2020] GOCor: 0:03:16

[NeurIPS 2020] GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network

10. Support Vector 0:46:22

10. Support Vector Machines

Xiangru Huang: Dual 0:15:06

Xiangru Huang: Dual Decomposed Learning for Structural SVMs of Large Output Domain

SVM (examples) 2:36:51

SVM (examples)