'Less Than One'-Shot Learning: Learning N Classes From M<N Samples

17 September 2020

Papers citing "'Less Than One'-Shot Learning: Learning N Classes From M<N Samples"

5 / 5 papers shown

Title
On the Informativeness of Supervision Signals Ilia Sucholutsky Ruairidh M. Battleday Katherine M. Collins Raja Marjieh Joshua C. Peterson Pulkit Singh Umang Bhatt Nori Jacoby Adrian Weller Thomas L. Griffiths 27 12 0 02 Nov 2022
Learning New Tasks from a Few Examples with Soft-Label Prototypes Avyav Kumar Singh Ekaterina Shutova H. Yannakoudakis VLM 30 0 0 31 Oct 2022
One to Multiple Mapping Dual Learning: Learning Multiple Sources from One Mixed Signal TingXia Liu Wenwu Wang Xiaofei Zhang Zhenying Gong Yina Guo 46 1 0 13 Oct 2021
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes Ilia Sucholutsky Nam-Hwui Kim R. Browne Matthias Schonlau VLM 13 6 0 15 Feb 2021
Applying Deutsch's concept of good explanations to artificial intelligence and neuroscience -- an initial exploration Daniel C. Elton 20 4 0 16 Dec 2020