Discover MingSun-Tse/Caffe_IncReg Open Source project

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Created about 7 years ago
Updated over 4 years ago

MingSun-Tse

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[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"

Efficient-Deep-Learning

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

925

Collaborative-Distillation

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

Python

180

Regularization-Pruning

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

Python

ASSL

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

Python

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.

Python

Good-DA-in-KD

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

Python

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

Python

TPP

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

Python

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"

Python

WritingTips

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

TeX

Efficient-NeRF

Python

UtilsHub

Jupyter Notebook

LowlevelVision

paper collection for low-level vision

AdversarialAttacks

MingSun-Tse/Caffe_IncReg

MingSun-Tse

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