References

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Jonathan Frankle & Michael Carbin (2018)

arXiv.

DOI: https://doi.org/10.48550/arxiv.1803.03635

Abstract. Proposes the Lottery Ticket Hypothesis: dense, randomly initialised feedforward networks contain sparse subnetworks ('winning tickets') that, trained in isolation, can match the accuracy of the original network. Provides theoretical motivation for pruning.

Tags: efficiency pruning lottery-ticket

Cited in:

This site is currently in Beta. Contact: Chris Paton

Textbook of Usability · Textbook of Digital Health

Auckland Maths and Science Tutoring

AI tools used: Claude (research, coding, text), ChatGPT (diagrams, images), Grammarly (editing).