# Batch-level Experience Replay with Review for Continual Learning

arXiv: https://arxiv.org/abs/2007.05683 · HTML: https://mlsanity.com/paper/2007.05683/

## Key facts

- Cited by 10 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Jul 2020.

## Built on by (most cited first, 10 of 10)

- [Online Continual Learning in Image Classification: An Empirical Survey](https://mlsanity.com/paper/2101.10423/) (2021)
- [A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays](https://mlsanity.com/paper/2110.10486/) (2021)
- [Rethinking Exemplars for Continual Semantic Segmentation in Endoscopy Scenes: Entropy-based Mini-Batch Pseudo-Replay](https://mlsanity.com/paper/2308.14100/) (2023)
- [Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition](https://mlsanity.com/paper/2409.16434/) (2024)
- [Continual Learning for Monolingual End-to-End Automatic Speech Recognition](https://mlsanity.com/paper/2112.09427/) (2021)
- [AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models](https://mlsanity.com/paper/2506.09082/) (2025)
- [New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning](https://mlsanity.com/paper/2302.08243/) (2023)
- [Experience Replay Addresses Loss of Plasticity in Continual Learning](https://mlsanity.com/paper/2503.20018/) (2025)
- [Learning to Continually Learn Rapidly from Few and Noisy Data](https://mlsanity.com/paper/2103.04066/) (2021)
- [Sample Compression for Self Certified Continual Learning](https://mlsanity.com/paper/2503.10503/) (2025)

## Abstract (arXiv)

Continual learning is a branch of deep learning that seeks to strike a balance between learning stability and plasticity. The CVPR 2020 CLVision Continual Learning for Computer Vision challenge is dedicated to evaluating and advancing the current state-of-the-art continual learning methods using the CORe50 dataset with three different continual learning scenarios. This paper presents our approach, called Batch-level Experience Replay with Review, to this challenge. Our team achieved the 1'st place in all three scenarios out of 79 participated teams. The codebase of our implementation is publicly available at https://github.com/RaptorMai/CVPR20_CLVision_challenge