Pinned Repositories
BiasVariance-AdversarialTraining
FastDRO-MinMaxOpt
Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization
gose-nonconvex
Local minima finding algorithm, gose, which is able to escape from saddle points in one step for nonconvex problems.
image_caption
mcr2
Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
ProjNorm
Predicting Out-of-Distribution Error with the Projection Norm
pytorch-GANs
Collection of generative models in Pytorch version.
Rethink-BiasVariance-Tradeoff
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
TCT
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
TRADES
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
yaodongyu's Repositories
yaodongyu/TRADES
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
yaodongyu/Rethink-BiasVariance-Tradeoff
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
yaodongyu/ProjNorm
Predicting Out-of-Distribution Error with the Projection Norm
yaodongyu/BiasVariance-AdversarialTraining
yaodongyu/mcr2
Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
yaodongyu/TCT
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
yaodongyu/FastDRO-MinMaxOpt
Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization
yaodongyu/gose-nonconvex
Local minima finding algorithm, gose, which is able to escape from saddle points in one step for nonconvex problems.
yaodongyu/pytorch-GANs
Collection of generative models in Pytorch version.
yaodongyu/image_caption
yaodongyu/pytorch_resnet_cifar10
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
yaodongyu/augmix
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
yaodongyu/crate-mae-notebooks
yaodongyu/cs6501-004-project
CS 6501-004 Deep Learning for Visual Recognition Final Project
yaodongyu/cs8524-pictureteller
CS8524-Final Project
yaodongyu/cubic-dnn
yaodongyu/FLASH
Fast Local minimA finding with third-order SmootHness (FLASH)
yaodongyu/group_DRO
Distributionally robust neural networks for group shifts
yaodongyu/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
yaodongyu/MAE_DP
PyTorch implementation of Masked Autoencoder
yaodongyu/Measure-Concentration
An Empirical Method of Measuring Concentration for Distributions
yaodongyu/Online-Nonsubmodular
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback
yaodongyu/SegAvgRestart-Bilinear
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging
yaodongyu/wilds
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
yaodongyu/yaodongyu
Config files for my GitHub profile.
yaodongyu/yaodongyu.github.io