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Collections including paper arxiv:1511.06422

Papers - Pre-training - Weight Initialization

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1

Papers - University - Czech Technical University

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 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 • 21
Efficient Transformer Encoders for Mask2Former-style models

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

Paper • 1512.03385 • Published Dec 10, 2015 • 5

Papers - Pre-training - Layer Initialization - LSUV

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1

Papers - Pre-training - Layer Initialization

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1

Papers - Activation Functions

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
KAN or MLP: A Fairer Comparison

Paper • 2407.16674 • Published Jul 23 • 41

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 • 12
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 - 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 • 21
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 5
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24 • 12

Papers - Custom Layers

Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning

Paper • 2310.20587 • Published Oct 31, 2023 • 16
JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention

Paper • 2310.00535 • Published Oct 1, 2023 • 2
Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla

Paper • 2307.09458 • Published Jul 18, 2023 • 10
The Impact of Depth and Width on Transformer Language Model Generalization

Paper • 2310.19956 • Published Oct 30, 2023 • 9

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

Paper • 2403.06775 • Published Mar 11 • 3
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 6
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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