Skip to content

v0.2.1

Latest
Compare
Choose a tag to compare
@zhoudw-zdw zhoudw-zdw released this 13 Jul 15:37
· 31 commits to master since this release
0b99ae5

In this update, we support the state-of-the-art methods of 2023:

  • MEMO: A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. ICLR 2023 Spotlight [paper]
  • BEEF: BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion. ICLR 2023 [paper]
  • SimpleCIL: Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need. arXiv 2023 [paper]

Cheers!