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Collections including paper arxiv:1901.11399

Papers - NEDL - Hyperbolic Rotation

Equivariant Transformer Networks

Paper • 1901.11399 • Published Jan 25, 2019 • 1

Papers - NEDL - Equivariant Transformers

Equivariant Transformer Networks

Paper • 1901.11399 • Published Jan 25, 2019 • 1

Papers - Image - Datasets - MNIST

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15
Neural Autoregressive Distribution Estimation

Paper • 1605.02226 • Published May 7, 2016 • 1
Visualizing Riemannian data with Rie-SNE

Paper • 2203.09253 • Published Mar 17, 2022 • 1

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation

Paper • 2403.06775 • Published Mar 11, 2024 • 4
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 15
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition

Paper • 2110.07040 • Published Oct 13, 2021 • 2
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks

Paper • 1811.00056 • Published Oct 31, 2018 • 2

Papers - NEDL - Lie Groups

Equivariant Transformer Networks

Paper • 1901.11399 • Published Jan 25, 2019 • 1
A micro Lie theory for state estimation in robotics

Paper • 1812.01537 • Published Dec 4, 2018 • 1

Papers - NEDL - Non-Euclidean Deep Learning

Also see: https://dawn.cs.stanford.edu/2019/10/10/noneuclidean/

Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures

Paper • 2407.09468 • Published Jul 12, 2024 • 2
Architectures of Topological Deep Learning: A Survey on Topological Neural Networks

Paper • 2304.10031 • Published Apr 20, 2023 • 3
Galois Theory

Paper • 2408.07499 • Published Aug 14, 2024 • 1
Equivariant Transformer Networks

Paper • 1901.11399 • Published Jan 25, 2019 • 1

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 - NEDL - Hyperbolic Rotation

Equivariant Transformer Networks

Paper • 1901.11399 • Published Jan 25, 2019 • 1

Papers - NEDL - Lie Groups

Equivariant Transformer Networks

Paper • 1901.11399 • Published Jan 25, 2019 • 1
A micro Lie theory for state estimation in robotics

Paper • 1812.01537 • Published Dec 4, 2018 • 1

Papers - NEDL - Equivariant Transformers

Equivariant Transformer Networks

Paper • 1901.11399 • Published Jan 25, 2019 • 1

Papers - NEDL - Non-Euclidean Deep Learning

Also see: https://dawn.cs.stanford.edu/2019/10/10/noneuclidean/

Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures

Paper • 2407.09468 • Published Jul 12, 2024 • 2
Architectures of Topological Deep Learning: A Survey on Topological Neural Networks

Paper • 2304.10031 • Published Apr 20, 2023 • 3
Galois Theory

Paper • 2408.07499 • Published Aug 14, 2024 • 1
Equivariant Transformer Networks

Paper • 1901.11399 • Published Jan 25, 2019 • 1

Papers - Image - Datasets - MNIST

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15
Neural Autoregressive Distribution Estimation

Paper • 1605.02226 • Published May 7, 2016 • 1
Visualizing Riemannian data with Rie-SNE

Paper • 2203.09253 • Published Mar 17, 2022 • 1

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

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation

Paper • 2403.06775 • Published Mar 11, 2024 • 4
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 15
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition

Paper • 2110.07040 • Published Oct 13, 2021 • 2
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks

Paper • 1811.00056 • Published Oct 31, 2018 • 2

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