Dear Xialei,
thank you for maintaining this great list!
We have authored several published (full) continual/lifelong learning papers and I am wondering if you could please add them to the list. One of them might be of particular interest to the community, as it is a broad recent published survey paper from 2023:
Survey paper: "A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning"
Published in: Neural Networks 160, 2023
Link: https://www.sciencedirect.com/science/article/pii/S089360802300014X (or on arXiv)
Dear Xialei, thank you for maintaining this great list!
We have authored several published (full) continual/lifelong learning papers and I am wondering if you could please add them to the list. One of them might be of particular interest to the community, as it is a broad recent published survey paper from 2023:
"A Procedural World Generation Framework for Systematic Evaluation of Continual Learning" Published in: NeurIPS 2021 Link: https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/d645920e395fedad7bbbed0eca3fe2e0-Abstract-round1.html (or on arXiv) Code: https://github.com/ccc-frankfurt/EndlessCL-Simulator-Source
"Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition" Published in: Journal of Imaging 8:4, 2022 Link: https://www.mdpi.com/2313-433X/8/4/93 (or on arXiv) Code: https://github.com/MrtnMndt/OpenVAE_ContinualLearning