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awesome-dataset-distillation

Awesome Dataset Distillation Papers

bnn_covariate_shift

Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"

data_diet

efficient-dataset-condensation

Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)

featuredistill

Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)

fengyzpku.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

jmlr-style-file

LaTeX style file for the Journal of Machine Learning Research

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

ml_2019_fall

Machine Learning Teamwork in 2019 fall, at Machine Learning class of SMS (School of Mathematics Science) of PKU (Peking University)

mtt-distillation

Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

rat-bptt

Official Code for RaT-BPTT

rcig

rememberthepast-datasetdistillation

robustbnns

Code for paper "Robustness of Bayesian Neural Networks to Gradient-Based Attacks"

sebr

Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization

simple_dataset_distillation

A new simple method for dataset distillation called Randomized Truncated Backpropagation Through Time (RaT-BPTT)

stgcn-ijcai-18

Spatio-Temporal Graph Convolutional Networks

uncertainty-adversarial-paper

Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'