This project is to showcase how to use Knowledge distillation technique to develop incremental learning system.This is a implementation of the paper https://arxiv.org/abs/1811.08051.
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Apr 6, 2023 - Python
This project is to showcase how to use Knowledge distillation technique to develop incremental learning system.This is a implementation of the paper https://arxiv.org/abs/1811.08051.
Code for the paper "FOCIL: Finetune-and-Freeze for Online Class-Incremental Learning by Training Randomly Pruned Sparse Experts"
[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.
Model Retraining & Incremental Learning in Recommender Systems
Enhance SVM and incremental SVM machine learning models for road accident severity prediction
🤖[MICCAI 2023] The official repository for paper "L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space"
Continual Learning with KAN based ViT to mitigate catastrophic forgetting
Modeling student's knowledge over time using Riiid's EdNet dataset comprising of 100M+ student interactions. EDA and Feature Engineering was performed on the data and models were trained on important features.
A repository contains research papers related to RL, NLP, CV, ML, DL, Meta Learning, Incremental, etc.
Official Code for the paper Few-Shot Class Incremental Learning with Generative Feature Replay
RiverText is a framework that standardizes the Incremental Word Embeddings proposed in the state-of-art. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!
Continual Learning methods using Episodic Memory (CLEM) in PyTorch
Code for CPAL-2024 paper "Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates"
Novelty detection for data streams in Python
Official repository for "Gradient Correlation Subspace Learning against Catastrophic Forgetting"
My Incremental/Online Learning Projects
Implementation of "Weakly Incremental Learning for Semantic Segmentation with Scribble Annotations"
The main goal of this project is to implement a neural network capable of learning different tasks without forgetting the ones it has learned before.
Official code for paper "OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning"
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