TY  - GEN 
AU  - Tammisetti, Vasu
AU  - Bierzynski, Kay
AU  - Stettinger, Georg
AU  - Morales Santos, Diego Pedro
AU  - Pegalajar Cuéllar, Manuel
AU  - Molina Solana, Miguel José
PY  - 2024
UR  - https://hdl.handle.net/10481/93263
AB  - Meta-few-shot learning algorithms, such as Model-Agnostic Meta-Learning (MAML) and
Almost No Inner Loop (ANIL), enable machines to learn complex tasks quickly with limited data
and based on previous experience. By maintaining the inner loop head of...
LA  - eng
PB  - MDPI
KW  - meta-learning
KW  - MAML (Model-Agnostic Meta-Learning)
KW  - ANIL (Almost No Inner Loop)
TI  - LaANIL: ANIL with Look-Ahead Meta-Optimization and Data Parallelism
DO  - 10.3390/electronics13081585
ER  -