[Neural Networks 2023] The official repository of Neural Networks Journal "Subspace Distillation for Continual Learning"
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Updated
Jun 18, 2024 - Python
[Neural Networks 2023] The official repository of Neural Networks Journal "Subspace Distillation for Continual Learning"
Continual Contrastive Anomaly Detection under Natural Data Distribution Shifts
Implementation for the paper "SpaceNet: Make Free Space For Continual Learning" in PyTorch.
detecting domain boundaries during inference
[IWANN 2021] Reducing catastrophic forgetting in 3D point cloud objects with help of semantic information
Keras-based framework for implementing continual learning methods.
This is the repo for the master thesis at ITA - RWTH Aachen
The ability to learn tasks in a sequential fashion is crucial to the development of artificial intelligence. Until now neural networks have not been capable of this and it has been widely thought that catastrophic forgetting is an inevitable feature of connectionist models.
This is the PyTorch implementation of our paper "Jie Du, Wei Li, Peng Liu, et al. Model projection based Federated Learning for Non-IID data" .
[ECMLPKDD 2022] "Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks" by by Ghada Sokar, Decebal Constantin Mocanu, and Mykola Pechenizkiy.
Repo for competition track Lifelong Robotic Vision, IROS 2019.
Supervised learning in PyTorch with prioritized memory replay.
A simple experiment to compare Artificial and Spiking Neural Networks in Sequential and Few-Shot Learning.
An implementation of the Hopfield network in Python. Includes a lot of additional classes, functions, and structures to test Sequential Learning, Energy, and other properties of the Hopfield Network.
An investigation into sequential learning of tasks using feed-forward networks built with Tensorflow
🤖[MICCAI 2023] The official repository for paper "L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space"
The official implementation of MeDQN algorithm.
[J. Imaging 2023] The official repository for paper CL3: Generalization of Contrastive Loss for Lifelong Learning J. Imaging 2023, 9(12), 259; https://doi.org/10.3390/jimaging9120259
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