Online Continual Learning with Maximally Interfered Retrieval

Massimo Caccia · 985 views · 2019 · 8:16

Open on YouTube

Machine learning & deep learningother

Why the open web links it

Presents a method for continual learning in neural networks that prioritizes retrieving and retraining on maximally interfering past examples.

Linked by 2 independent sites, 2 of them widely read in the 2026-10 crawl of the open web, including neurips.cc, nips.cc.