Imitation networks: Few-shot learning of neural networks from scratch

By Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda. 2018

6 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Paul Micaelli
2. Amos J. Storkey
3. Antreas Antoniou
4. Pratyush Maini
5. Lin Wang
6. Sergey Levine
7. Chelsea Finn
8. Elias Bareinboim

Citations in the corpus

• Zero-shot Knowledge Transfer via Adversarial Belief Matching (2019, methodology): “This is an important difference with competing models such as that of Kimura et al. (2018) where authors must include hand designed losses like carbon copy memory replay (which freezes some pseudo samples in time), or fidelity (Dehghani et al., 2017). x adv ← x adv − ξ ∂ L CE ( y A , j ) ∂ x adv…”