Pinned Repositories
A-Large-scale-Attribute-Dataset-for-Zero-shot-Learning
The download link for the dataset LAD.
AI-research-tools
:hammer:AI 方向好用的科研工具
Awesome-Coreset-Selection
Awesome coreset/core-set/subset/sample selection works.
DeepCore
Code for coreset selection methods
End-to-End-Incremental-Learning
Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]
Improved-Deep-Leakage-from-Gradients
The code for "Improved Deep Leakage from Gradients" (iDLG).
MSplitLBI
This is the code of the paper "MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning".
Zero-shot-Learning
This is a display page of our works on Zero-shot Learning.
Zero-shot-Learning-via-Recurrent-Knowledge-Transfer
Python and Matlab Codes for the paper 'Zero-shot Learning via Recurrent Knowledge Transfer'.
zero_shot_learning_baseline
This is a baseline method (MDP) for AIC-Zero-shot Learning Competition.
PatrickZH's Repositories
PatrickZH/DeepCore
Code for coreset selection methods
PatrickZH/Awesome-Coreset-Selection
Awesome coreset/core-set/subset/sample selection works.
PatrickZH/Improved-Deep-Leakage-from-Gradients
The code for "Improved Deep Leakage from Gradients" (iDLG).
PatrickZH/A-Large-scale-Attribute-Dataset-for-Zero-shot-Learning
The download link for the dataset LAD.
PatrickZH/Zero-shot-Learning
This is a display page of our works on Zero-shot Learning.
PatrickZH/Zero-shot-Learning-via-Recurrent-Knowledge-Transfer
Python and Matlab Codes for the paper 'Zero-shot Learning via Recurrent Knowledge Transfer'.
PatrickZH/AI-research-tools
:hammer:AI 方向好用的科研工具
PatrickZH/Continual-Representation-Learning-for-Biometric-Identification
Continual Representation Learning for Biometric Identification
PatrickZH/deep-leakage-from-gradients
[NeurIPS 2019] Deep Leakage From Gradients https://arxiv.org/abs/1906.08935
PatrickZH/Zero-Shot-Learning-Posed-as-a-Missing-Data-Problem
Code of the paper "Zero-Shot Learning Posed as a Missing Data Problem"
PatrickZH/AI-Challenger-2017-Datasets-Download
AI Challenger 2017 Datasets Download
PatrickZH/AI_Challenger_2017_Download
PatrickZH/AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
PatrickZH/autograd-hacks
PatrickZH/Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2019)。
PatrickZH/CAFE
This is a method of dataset condensation, and it has been accepted by CVPR-2022.
PatrickZH/CIFAR-ZOO
PyTorch implementation of CNNs for CIFAR benchmark
PatrickZH/dataset-distillation
Dataset Distillation
PatrickZH/DatasetCondensation
PatrickZH/DC-VAE
(CVPR 2021) DC-VAE: Dual Contradistinctive Generative Autoencoder
PatrickZH/DeepLearning
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
PatrickZH/MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
PatrickZH/NATS-Bench
TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size
PatrickZH/PatrickZH.github.io
Just a plain, simple and elegant one-page theme for research/academia.
PatrickZH/pytorch-cifar
95.16% on CIFAR10 with PyTorch
PatrickZH/pytorch-fid
Compute FID scores with PyTorch.
PatrickZH/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
PatrickZH/pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
PatrickZH/satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
PatrickZH/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)