Continual Learning

[2302.00487] A Comprehensive Survey of Continual Learning - arXiv

We present a comprehensive survey of continual learning, seeking to bridge the basic settings, theoretical foundations, representative methods, and practical ...

Continual Learning | Papers With Code

Continual Learning** (also known as **Incremental Learning**, **Life-long Learning**) is a concept to learn a model for a large number of tasks sequentially ...

Continual Learning: Methods and Application - neptune.ai

What is continual learning? Continual learning (CL) is a research field focusing on developing practical approaches for effectively training ...

Introduction to Continual Learning - ContinualAI Wiki

A Continual learning system can be defined as an adaptive algorithm capable of learning from a continuous stream of information, with such ...

Continual Learning in AI: How It Works & Why AI Needs It | Splunk

Continual learning refers to the ability to learn from non-stationary information streams incrementally.

Continual Learning and Catastrophic Forgetting

Continual learning algorithms try to achieve this same ability for the neural networks and to solve the catastrophic forgetting problem. Thus, in essence, ...

Loss of plasticity in deep continual learning - Nature

Standard deep-learning methods gradually lose plasticity in continual-learning settings until they learn no better than a shallow network.

ContinualAI/continual-learning-papers - GitHub

Continual Reinforcement Learning · Lifetime Policy Reuse and the Importance of Task Capacity · Unsupervised Lifelong Learning with Curricula · Continuous ...

Three types of incremental learning | Nature Machine Intelligence

In classical machine learning, an algorithm has access to all training data at the same time. In continual learning, the data instead arrives in ...

Continual Learning: Applications and the Road Forward - arXiv

Continual learning, sometimes referred to as lifelong learning or incremental learning, is a subfield of machine learning that focuses on the ...

Lecture 6: Continual Learning - The Full Stack

This lecture focuses on how to improve different steps of the continual learning process, pointers to learn about each step, and recommendations for doing it ...

What is continual Learning? - Medium

It involves learning from a sequence of tasks, one after the other, without having access to all tasks simultaneously, like in multi-task learning.

GMvandeVen/continual-learning - GitHub

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three ...

Avalanche: an End-to-End Library for Continual Learning | Avalanche

Avalanche is an End-to-End Continual Learning Library based on PyTorch, born within ContinualAI with the goal of providing a shared and collaborative open- ...

What is Continuous Learning? Revolutionizing Machine Learning ...

Continuous learning is a machine learning approach that enables models to integrate new data without explicit retraining. It builds upon ...

Continual Learning in Machine Learning - GeeksforGeeks

Continual learning permits models to conform with time, collecting new statistics and competencies without erasing their past experiences.

Why Continual Learning is the key towards Machine Intelligence

So, in the end, Multimodal/Multitask Learning can be really what makes our AI agents smarter but only through Continual Learning, which ...

Introduction to Continual Learning - Davide Abati (CVPR 2020)

This talk introduce Continual Learning in general and a deep dive into the CVPR 2020 paper "Conditional Channel Gated Networks for ...

Continual Learning: A Review of Techniques, Challenges, and ...

This article presents a comprehensive review of current CL literature from the perspective of real-world application and discuss possible future avenues that ...

Embracing Change: Continual Learning in Deep Neural Networks

Continual learning is an increasingly relevant area of study that asks how artificial systems might learn sequentially, as biological systems do, from a ...