Nov 24, 2020 · Our proposed version of EBMs for continual learning is simple, efficient, and outperforms baseline methods by a large margin on several ...
Our proposed version of EBMs for continual learning is simple, efficient, and outperforms baseline methods by a large margin on several benchmarks.
Oct 21, 2020 · This paper explores the usage of EBMs in continual learning for classification. Although the application of EBMs in continual learning is novel, the general ...
This project aims at classification continual learning problems using Energy-Based Models. Mainly based on our paper Energy-Based Models for Continual ...
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Continual learning requires models to remember prior skills as well as incrementally learn new skills, without necessarily having a notion of an explicit task ...
Overview of our Wake-Sleep algorithm for training Energy-Based Models(WS-EBM) for continual learning over image classification in the class incremental setting.
This paper introduces a novel approach for continually training Energy-Based Models (EBMs) on the classification problems in the challenging setting of ...
It is found that Energy-Based Models outperform the baseline methods by a large margin on several continual learning benchmarks and are adaptable to a more ...
Sep 9, 2024 · We motivate Energy-Based Models (EBMs) as a promising model class for continual learning problems. Instead of tackling continual learning ...
This paper introduces a novel approach for continually training Energy-Based Models (EBMs) on the classification problems in the challenging setting of class ...