Skip to content
Channels - The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning :: FRELIP Discovery
-
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
-
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
-
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
-
On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent
-
On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent
-
On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent
-
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data
-
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data
-
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data
-
Autoencoders in Function Space
-
Autoencoders in Function Space
-
Autoencoders in Function Space
-
Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration
-
Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration
-
Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration
-
Enhancing Graph Representation Learning with Localized Topological Features
-
Enhancing Graph Representation Learning with Localized Topological Features
-
Enhancing Graph Representation Learning with Localized Topological Features
-
Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy
-
Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy
-
Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy
-
Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination
-
Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination
-
Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination