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Collections including paper arxiv:1901.09321

Papers - Training - Regularization - MixUp Regularizer

Fixup Initialization: Residual Learning Without Normalization

Paper • 1901.09321 • Published Jan 27, 2019 • 1
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness

Paper • 2206.14502 • Published Jun 29, 2022 • 1
MixUp as Locally Linear Out-Of-Manifold Regularization

Paper • 1809.02499 • Published Sep 7, 2018 • 1

Papers - ResNet - Activation - nonlinear ReLU

Fixup Initialization: Residual Learning Without Normalization

Paper • 1901.09321 • Published Jan 27, 2019 • 1

Papers - Training - Initialization - Regularization - Fixup

Fixup Initialization: Residual Learning Without Normalization

Paper • 1901.09321 • Published Jan 27, 2019 • 1
MixUp as Locally Linear Out-Of-Manifold Regularization

Paper • 1809.02499 • Published Sep 7, 2018 • 1

Papers - Image - Datasets - ImageNet

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Paper • 2404.14507 • Published Apr 22, 2024 • 23
Efficient Transformer Encoders for Mask2Former-style models

Paper • 2404.15244 • Published Apr 23, 2024 • 1
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 12

Papers - ResNet

Wide Residual Networks

Paper • 1605.07146 • Published May 23, 2016 • 2
Characterizing signal propagation to close the performance gap in unnormalized ResNets

Paper • 2101.08692 • Published Jan 21, 2021 • 2
Pareto-Optimal Quantized ResNet Is Mostly 4-bit

Paper • 2105.03536 • Published May 7, 2021 • 3
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

Paper • 2106.01548 • Published Jun 3, 2021 • 2

Papers - Training - Layers - Scalar - Bias and Multipliers

Fixup Initialization: Residual Learning Without Normalization

Paper • 1901.09321 • Published Jan 27, 2019 • 1

Papers - ResNet - Training - Init - Exploding Gradients

Fixup Initialization: Residual Learning Without Normalization

Paper • 1901.09321 • Published Jan 27, 2019 • 1

Papers - Normalization - No Normalization - Fixup

Fixup Initialization: Residual Learning Without Normalization

Paper • 1901.09321 • Published Jan 27, 2019 • 1

Papers - Image - Datasets - CIFAR

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Paper • 2404.14507 • Published Apr 22, 2024 • 23
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 12
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15

Papers - Training - Regularization - MixUp Regularizer

Fixup Initialization: Residual Learning Without Normalization

Paper • 1901.09321 • Published Jan 27, 2019 • 1
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness

Paper • 2206.14502 • Published Jun 29, 2022 • 1
MixUp as Locally Linear Out-Of-Manifold Regularization

Paper • 1809.02499 • Published Sep 7, 2018 • 1

Papers - Training - Layers - Scalar - Bias and Multipliers

Fixup Initialization: Residual Learning Without Normalization

Paper • 1901.09321 • Published Jan 27, 2019 • 1

Papers - ResNet - Activation - nonlinear ReLU

Fixup Initialization: Residual Learning Without Normalization

Paper • 1901.09321 • Published Jan 27, 2019 • 1

Papers - ResNet - Training - Init - Exploding Gradients

Fixup Initialization: Residual Learning Without Normalization

Paper • 1901.09321 • Published Jan 27, 2019 • 1

Papers - Training - Initialization - Regularization - Fixup

Fixup Initialization: Residual Learning Without Normalization

Paper • 1901.09321 • Published Jan 27, 2019 • 1
MixUp as Locally Linear Out-Of-Manifold Regularization

Paper • 1809.02499 • Published Sep 7, 2018 • 1

Papers - Normalization - No Normalization - Fixup

Fixup Initialization: Residual Learning Without Normalization

Paper • 1901.09321 • Published Jan 27, 2019 • 1

Papers - Image - Datasets - ImageNet

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Paper • 2404.14507 • Published Apr 22, 2024 • 23
Efficient Transformer Encoders for Mask2Former-style models

Paper • 2404.15244 • Published Apr 23, 2024 • 1
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 12

Papers - Image - Datasets - CIFAR

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Paper • 2404.14507 • Published Apr 22, 2024 • 23
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 12
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15

Papers - ResNet

Wide Residual Networks

Paper • 1605.07146 • Published May 23, 2016 • 2
Characterizing signal propagation to close the performance gap in unnormalized ResNets

Paper • 2101.08692 • Published Jan 21, 2021 • 2
Pareto-Optimal Quantized ResNet Is Mostly 4-bit

Paper • 2105.03536 • Published May 7, 2021 • 3
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

Paper • 2106.01548 • Published Jun 3, 2021 • 2

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