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Name: justin
Type: User
Name: justin
Type: User
3D Common Corruptions and Data Augmentation, CVPR 2022 [Oral]
Panagiotis Eustratiadis and Henry Gouk and Da Li and Timothy M. Hospedales. "A Stochastic Neural Network for Attack-Agnostic Adversarial Robustness". CoRR abs/2010.08852. (2020).
Implementation of CVPR 2022 paper "Learning Distinctive Margin toward Active Domain Adaptation”
Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"
PyTorch implementation of adversarial attacks.
[NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
Adversarial Distributional Training (NeurIPS 2020)
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
A collection of resources and papers on Diffusion Models
A collection of AWESOME things about domian adaptation
Paper collection of about the face anti-spoofing
Papers about out-of-distribution generalization on graphs.
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)
[NeurIPS 2020] code for "Boundary thickness and robustness in learning models"
Source code of NeurIPS 2021 Paper ''Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration''
[NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"
Central Difference Convolutional Networks (CVPR'20)
Author: Tong Zhao ([email protected]). ICML 2022. Learning from Counterfactual Links for Link Prediction
An adversarial example library for constructing attacks, building defenses, and benchmarking both
[CVPR22] CoTTA Code for our CVPR 2022 paper Continual Test-Time Domain Adaptation
CVPR 2022 论文和开源项目合集
pytorch implementation of Parametric Noise Injection for adversarial defense
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.