Even networks long considered “untrainable” can learn effectively with a bit of a helping hand. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that a brief period of alignment between neural networks, a method they call guidance, can dramatically improve the performance of architectures previously thought unsuitable for modern tasks.
Guided learning helps previously ‘untrainable’ neural networks learn effectively
Reader’s Picks
-
New research by Dr. Patricia Nabuco Martuscelli and a team of researchers challenged the “Adult Gaze,” arguing that children’s expertise [...]
-
How ambitious should you be? Folk wisdom offers conflicting advice: “Shoot for the moon,” but also, “Don’t let the perfect [...]
-
While society often assumes that finding a romantic partner is the ultimate key to happiness, tracking relationship changes over time [...]