Pinned Repositories
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"
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.
code-for-houses
EENAS
ENNAS_MASTER
Codes for IJCAI2020 paper "One-Shot Neural Architecture Search via Novelty Driven Sampling"
HDBO-SDR
Code for "High Dimensional Bayesian Optimization via Supervised Dimension Reduction"
iDARTS
codes for ICML2021 paper iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
NSAS_FOR_CVPR
NSAS code for CVPR review
miaozhang0525's Repositories
miaozhang0525/NSAS_FOR_CVPR
NSAS code for CVPR review
miaozhang0525/iDARTS
codes for ICML2021 paper iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
miaozhang0525/ENNAS_MASTER
Codes for IJCAI2020 paper "One-Shot Neural Architecture Search via Novelty Driven Sampling"
miaozhang0525/HDBO-SDR
Code for "High Dimensional Bayesian Optimization via Supervised Dimension Reduction"
miaozhang0525/anonymous_github
Anonymous Github is a proxy server to support anonymous browsing of Github repositories for open-science code and data.
miaozhang0525/Awesome-NAS
A curated list of neural architecture search (NAS) resources.
miaozhang0525/code-for-houses
miaozhang0525/EENAS
miaozhang0525/agem
Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
miaozhang0525/conference_call_for_paper
2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics
miaozhang0525/continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).
miaozhang0525/continual_learning_papers
Relevant papers in Continual Learning
miaozhang0525/COVID-NAS
Using NAS methods for COVID dataset
miaozhang0525/D-VAE
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
miaozhang0525/GPND
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
miaozhang0525/GraSP
GraSP: a Graph Signal Processing toolbox for Matlab
miaozhang0525/haogeshige
bbbb
miaozhang0525/HDBO-with-sufficient-dimension-reduction
miaozhang0525/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.
miaozhang0525/MiaoZhang
miaozhang0525/MiaoZhang0525.github.io
Miao's site
miaozhang0525/multi-model-forgetting
ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting
miaozhang0525/nas-without-training
Neural Architecture Search Without Training
miaozhang0525/NSAS
NSAS code for CVPR review
miaozhang0525/randomNAS_release
Code release for paper "Random Search and Reproducibility for NAS"
miaozhang0525/RandWire_tensorflow
tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition
miaozhang0525/ReviewKD
Distilling Knowledge via Knowledge Review, CVPR 2021
miaozhang0525/sigp
Subspace-Induced Gaussian Processes
miaozhang0525/StacNAS
miaozhang0525/wenpenghu.github.io
Personal website