MingSun-Tse/Regularization-Pruning

Stars
73
Rank 433,657 (Top 9 %)
Language
Python
Created almost 4 years ago
Updated over 1 year ago

MingSun-Tse/Regularization-Pruning

MingSun-Tse

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)

Efficient-Deep-Learning

Collection of recent methods on (deep) neural network compression and acceleration.

Collaborative-Distillation

[CVPR'20] Collaborative Distillation for Ultra-Resolution Universal Style Transfer (PyTorch)

ASSL

[NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)

Awesome-Pruning-at-Initialization

[IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.

Smile-Pruning

A generic code base for neural network pruning, especially for pruning at initialization.

Good-DA-in-KD

[NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective

Why-the-State-of-Pruning-so-Confusing

[Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning

smilelogging

Python logging package for easy reproducible experimenting in research

TPP

[ICLR'23] Trainability Preserving Neural Pruning (PyTorch)

Awesome-Efficient-ViT

Recent Advances on Efficient Vision Transformers

SRP

[ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"

Caffe_IncReg

[IJCNN'19, IEEE JSTSP'19] Caffe code for our paper "Structured Pruning for Efficient ConvNets via Incremental Regularization"; [BMVC'18] "Structured Probabilistic Pruning for Convolutional Neural Network Acceleration"

WritingTips

"Good scientific writing is not a matter of life and death; it is much more serious than that."

Efficient-NeRF

UtilsHub

Jupyter Notebook

LowlevelVision

paper collection for low-level vision

AdversarialAttacks