Selective Forgetting of Classes and Tasks for Deep Neural Networks [In Tensorflow]
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Updated
Jul 22, 2019 - Python
Selective Forgetting of Classes and Tasks for Deep Neural Networks [In Tensorflow]
incremental learning experiments
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
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"
Dive into the forefront of Large Language Models (LLMs) with our concise guide on the top 10 hot topics. Explore bias mitigation, efficient training, multimodal models, and more. Stay abreast of the latest advancements shaping the landscape of LLMs.
Official implementation of "Continual Learning by Modeling Intra-Class Variation" (MOCA). [TMLR 2023]
Continual Forgetting for Pre-trained Vision Models (CVPR 2024)
The Continual Learning App
Forecasting System for Continual Learning Scenarios based on Hoeffding Trees With Change Point Detection Mechanism
A private Java lab for Artificial General Intelligence
Class Incremental Continual Learning for Computer Vision
Official [WACV] Code Repository for "Saliency Guided Experience Packing for Replay in Continual Learning"
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