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Foundations
최적화·학습이론Optimization & Learning Theory
The Road Less Scheduled
Symbolic Discovery of Optimization Algor...Sophia: A Scalable Stochastic Second-ord...
Tensor Programs V: Tuning Large Neural N...
Sharpness-Aware Minimization for Efficie...
The Lottery Ticket Hypothesis: Finding S...Large Batch Optimization for Deep Learni...
Decoupled Weight Decay RegularizationLarge Batch Training of Convolutional Ne...
Training Deep Nets with Sublinear Memory...
홈/최적화·학습이론/2019

최적화·학습이론 — 2019

2편의 논문

ICLR 2019Best Paper5,000+

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

복권 가설: 희소하고 학습 가능한 신경망 찾기

Jonathan Frankle, Michael Carlin (2019)

ICLR 20201,500+

Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

딥러닝을 위한 대규모 배치 최적화: BERT 76분 학습

Yang You, Jing Li, Sashank Reddi et al. (2019)

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