detecting domain boundaries during inference
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Updated
Jun 23, 2021 - Python
detecting domain boundaries during inference
[IWANN 2021] Reducing catastrophic forgetting in 3D point cloud objects with help of semantic information
Continual Learning Model for Multi-class Text Classification based on Replay Method
Implementation of the paper Memory Aware Synapse
PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Incremental Skills for a Changing World"
Official implementation of "Continual Learning by Modeling Intra-Class Variation" (MOCA). [TMLR 2023]
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Continual Forgetting for Pre-trained Vision Models (CVPR 2024)
Selective Forgetting of Classes and Tasks for Deep Neural Networks [In Tensorflow]
A python framework for dealing and experimenting with image classification in a data-incremental scenario.
This repo has code for running continual object detection experiments on top of the Detectron2 library.
Infrastructure prototype for public security systems with AI integration for automatic anomaly detection in surveillance videos
My personal experimental setups for Continual Learning research. Don't think it'll be useful for anyone, but who knows!
Implement the Prompt-based CL milestone papers with pyotorch template style
incremental learning experiments
Toward Automated Continual Learning (for fully auto-adaptive learning methods and systems). Here, is a list of materials useful to realize this project.
Class Incremental Learning with Dynamic architecture and knowledge ensemble. Utilize over-parameterization, pruning, ensemble and calibration to overcome the challenges of Class Incremental Learning
This repo contains the implementation of some new papers on some advanced topics of machine learning e.g. meta-learning, reinforcement-learning, meta-reinforcement-learning, continual-learning and etc.
Bayesian continual learning
Codebase for "Continual Cross-Dataset Adaptation in Road Surface Classification", ITSC 2023
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