model-compression topic

Code and pretrained models for paper: Data-Free Adversarial Distillation

VainF

Compressing Representations for Self-Supervised Learning

UMBCvision

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Net...

Irtza

[NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang

VITA-Group

CVPR 2021 : Zero-shot Adversarial Quantization (ZAQ)

FLHonker

This project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.

htqin

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

MingSun-Tse

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

MingSun-Tse

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

MingSun-Tse

pytorch implementation of Structured Bayesian Pruning

gaosh