Never Ending Learning
By Tom Michael Mitchell. 2012
Subfields: Meta & Continual Learning
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Meta & Continual Learning
- Hakan Bilen
- Andrea Vedaldi
- Sylvestre-Alvise Rebuffi
- Ali Ayub
- Tinne Tuytelaars
- Rahaf Aljundi
- Joost van de Weijer
- Alan R. Wagner
Citations in the corpus
- Learning multiple visual domains with residual adapters (2017, background): “A particularly important aspect of MTL is the ability of learning multiple tasks sequentially, as in Never Ending Learning [25] and Life-long Learning [38].”