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← Optimization & Theory
Deep Learning
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Optimization & Theory
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Regularization
54 directly classified papers
Papers per year
2015: 1
2016: 1
2017: 2
2018: 6
2019: 5
2020: 13
2021: 11
2022: 6
2023: 5
2024: 3
2025: 1
Papers
Regularization techniques for fine-tuning in neural machine translation
EMNLP 2017
All You Need Is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks With Orthonormality and Modulation
CVPR 2017
Improved Dropout for Shallow and Deep Learning
NIPS 2016
Less is More: Nyström Computational Regularization
NIPS 2015
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