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Search results for cifar regularization
cifar
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regularization
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28 search results found
Cutmix Pytorch
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611
Official Pytorch implementation of CutMix regularizer
Cifar Zoo
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575
PyTorch implementation of CNNs for CIFAR benchmark
Cutout
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302
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
Shake Shake
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279
2.86% and 15.85% on CIFAR-10 and CIFAR-100
Adamw And Sgdw
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149
Decoupled Weight Decay Regularization (ICLR 2019)
Jocor
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102
CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization
Adamw Pytorch
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78
Implementation and experiments for AdamW on Pytorch
Mhe
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77
Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
Gradaug
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75
[NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
Discgen
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69
Code for the "Discriminative Regularization for Generative Models" paper.
Shake Shake_pytorch
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38
PyTorch implementation of shake-shake regularization
Shake Drop_pytorch
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36
PyTorch implementation of shake-drop regularization
Stable Weight Decay Regularization
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31
[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
Regularization Pruning
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28
[ICLR'21] PyTorch code for our paper "Neural Pruning via Growing Regularization"
Gan Manifold Regularization
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28
This is the code we used in our paper accepted at ICLR 2018
Patchup
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26
Amp Regularizer
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25
Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021
Bre Gan
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18
Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · R. Huang
Shakedrop
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17
Torch implementation of the paper "ShakeDrop regularization" (https://arxiv.org/abs/1802.02375).
Pytorch Consistency Regularization
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12
PyTorch implementation of consistency regularization methods for semi-supervised learning
Shake Shake Keras
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8
Keras implementation of Shake-Shake regularization
Softmax Classifier
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6
Dropblock_mxnet_bottom_implemention
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6
用C++实现一个mxnet版本dropblock Op 最后可以用mx.sym.Dropblock()调用
Parseval Networks
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5
An (imperfect) implementation of wide resnets and Parseval regularization
Label
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5
Is the label good? we need to process noise, represent label and regularization
Sln
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5
ICLR 2021: Noise against noise: stochastic label noise helps combat inherent label noise
Dlgeneralization
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5
My project to recreate the results in "Understanding Deep Learning Requires Rethinking Generalization" and do something similar on NLP
Jare
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5
Code for Towards a Better Understanding and Regularization of GAN Training Dynamics
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