Author: Paul Munro (University of Pittsburgh)
Just as autoencoding networks may offer important new approaches for
developing efficient codes, they may also be applicable to developing
codes with other useful application areas, such as error correction or
encryption. Here, the role of noise in developing robust representations will
be discussed (see Judd & Munro, 1993), with some speculative ideas
regarding the role of noise in promoting generalization.
Judd and Munro (1993) Nets with unreliable hidden nodes learn error correcting codes. NIPS 5: 89-96.