miaozhang0525 Goto Github PK

a-quality-diversity-based-genetic-algorithm-with-redundancy-measurement-for-feature-selection

the code for our paper "A Quality-Diversity based Genetic Algorithm with Redundancy Measurement for Feature Selection"

a-reference-direction-and-entropy-based-evolutionary-algorithm-for-many-objective-optimization

the code for our paper "A Reference Direction and Entropy based Evolutionary Algorithm for Many-Objective Optimization"

agem

Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow

anonymous_github

Anonymous Github is a proxy server to support anonymous browsing of Github repositories for open-science code and data.

awesome-nas

A curated list of neural architecture search (NAS) resources.

cgp-cnn

A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

code-for-houses

code-for-multi-level-cnn-for-lung-nodule-classification-with-non-stationary-kernel-based-hyperparame

code for houses

conference_call_for_paper

2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).

continual_learning_papers

Relevant papers in Continual Learning

covid-nas

Using NAS methods for COVID dataset

d-vae

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs

eenas

ennas_master

Codes for IJCAI2020 paper "One-Shot Neural Architecture Search via Novelty Driven Sampling"

evolutionary-autoencoders

Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search

gpnd

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

grasp

GraSP: a Graph Signal Processing toolbox for Matlab

haogeshige

bbbb

hdbo-sdr

Code for "High Dimensional Bayesian Optimization via Supervised Dimension Reduction"

hdbo-with-sufficient-dimension-reduction

idarts

codes for ICML2021 paper iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients

learngit

lottery-ticket-hypothesis-in-pytorch

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

maoea

miaozhang

miaozhang0525.github.io

Miao's site

multi-model-forgetting

ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting

nas-without-training

Neural Architecture Search Without Training

nsas

NSAS code for CVPR review