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Name: Xingxing Zhang
Type: User
Bio: CS PhD Student
Name: Xingxing Zhang
Type: User
Bio: CS PhD Student
Official Implementation of NeurIPS 2023 paper "Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation"
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
AS3 in ACM MM22
A paper list of our recent survey on continual learning, and other useful resources in this field.
A review for latest few-shot learning works
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
Awesome Incremental Learning
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Skeleton-based Action Recognition
A curated list of papers, code and resources pertaining to zero shot learning
bdhehohai的个人主页
Pytorch implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
Caffe: a fast open framework for deep learning.
High-performance C++ library for multiphysics and multibody dynamics simulations
CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks
An adversarial example library for constructing attacks, building defenses, and benchmarking both
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"
Official Implementation of CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV2022).
The Official Code of CPR (ICLR 2021)
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
data subset selection on video summarization data using message passing, sub-modular optimization and ADMM.
Official pytorch implementation of the paper "Deep Kernel Transfer in Gaussian Processes for Few-shot Learning"
Pytorch code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
A simple and accurate method to fool deep neural networks
Demo for ProLFA on Synthetic Dataset
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
This repository contains the code for the real data experiments presented in our paper “An embarrassingly simple approach to zero-shot learning”, presented at ICML 2015.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.