yaodongyu Goto Github PK

augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

biasvariance-adversarialtraining

crate-mae-notebooks

cs6501-004-project

CS 6501-004 Deep Learning for Visual Recognition Final Project

cs8524-pictureteller

CS8524-Final Project

cubic-dnn

fastdro-minmaxopt

Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization

flash

Fast Local minimA finding with third-order SmootHness (FLASH)

gose-nonconvex

Local minima finding algorithm, gose, which is able to escape from saddle points in one step for nonconvex problems.

group_dro

Distributionally robust neural networks for group shifts

image_caption

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mae_dp

PyTorch implementation of Masked Autoencoder

mcr2

Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)

measure-concentration

An Empirical Method of Measuring Concentration for Distributions

online-nonsubmodular

Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback

projnorm

Predicting Out-of-Distribution Error with the Projection Norm

pytorch-gans

Collection of generative models in Pytorch version.

pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

rethink-biasvariance-tradeoff

Rethinking Bias-Variance Trade-off for Generalization of Neural Networks

segavgrestart-bilinear

On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging

tct

TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels

trades

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

yaodongyu

Config files for my GitHub profile.

yaodongyu.github.io