Learning to Predict Gradients for Semi-Supervised Continual Learning

Overview

Learning to Predict Gradients for Semi-Supervised Continual Learning

Code for project: "Learning to Predict Gradients for Semi-Supervised Continual Learning".

Requirements and Environment

  • Main dependency: PyTorch 1.4.0+
  • The code is tested under Ubuntu 1804 LTS with Python 3.7.

Tasks for Evaluation

Continual Learning

The code and script that run experiments on MNIST-R, MNIST-P, and iCIFAR-100 are in folder continual.

Adversarial Continual Learning

The code and script that run experiments on CIFAR-100 and MiniImageNet are in folder adversarial_continual.

Owner
Yan Luo
I am a Ph.D. candidate in computer science at University of Minnesota. My research interests lie in the areas of machine learning and computer vision.
Yan Luo
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