The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
URI: https://gptkb.org/entity/The_Lottery_Ticket_Hypothesis:_Finding_Sparse,_Trainable_Neural_Networks
GPTKB entity
Statements (15)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:author |
gptkb:Jonathan_Frankle
gptkb:Michael_Carbin |
| gptkbp:citation |
highly cited
|
| gptkbp:contribution |
proposes the lottery ticket hypothesis
|
| gptkbp:field |
gptkb:machine_learning
deep learning |
| gptkbp:foundIn |
dense, randomly-initialized neural networks contain subnetworks that can be trained in isolation to reach comparable accuracy
|
| https://www.w3.org/2000/01/rdf-schema#label |
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
|
| gptkbp:method |
iterative pruning
|
| gptkbp:publicationYear |
2019
|
| gptkbp:publishedIn |
gptkb:International_Conference_on_Learning_Representations
|
| gptkbp:url |
https://arxiv.org/abs/1803.03635
|
| gptkbp:bfsParent |
gptkb:Lottery_Ticket_Hypothesis
|
| gptkbp:bfsLayer |
8
|