Daniel Keysers | DeepAI

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∙ 11/15/2021

LiT: Zero-Shot Transfer with Locked-image Text Tuning

This paper presents contrastive-tuning, a simple method employing contra...

0 Xiaohua Zhai, et al. ∙

∙ 09/01/2021

The Impact of Reinitialization on Generalization in Convolutional Neural Networks

Recent results suggest that reinitializing a subset of the parameters of...

0 Ibrahim Alabdulmohsin, et al. ∙

∙ 07/26/2021

Continental-Scale Building Detection from High Resolution Satellite Imagery

Identifying the locations and footprints of buildings is vital for many ...

6 Wojciech Sirko, et al. ∙

∙ 06/10/2021

Scaling Vision with Sparse Mixture of Experts

Sparsely-gated Mixture of Experts networks (MoEs) have demonstrated exce...

6 Carlos Riquelme, et al. ∙

∙ 05/04/2021

MLP-Mixer: An all-MLP Architecture for Vision

Convolutional Neural Networks (CNNs) are the go-to model for computer vi...

18 Ilya Tolstikhin, et al. ∙

∙ 10/14/2020

Deep Ensembles for Low-Data Transfer Learning

In the low-data regime, it is difficult to train good supervised models ...

19 Basil Mustafa, et al. ∙

∙ 09/28/2020

Scalable Transfer Learning with Expert Models

Transfer of pre-trained representations can improve sample efficiency an...

11 Joan Puigcerver, et al. ∙

∙ 06/18/2020

What Do Neural Networks Learn When Trained With Random Labels?

We study deep neural networks (DNNs) trained on natural image data with ...

0 Hartmut Maennel, et al. ∙

∙ 02/26/2020

Predicting Neural Network Accuracy from Weights

We study the prediction of the accuracy of a neural network given only i...

14 Thomas Unterthiner, et al. ∙

∙ 12/20/2019

Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

State-of-the-art machine learning methods exhibit limited compositional ...

25 Daniel Keysers, et al. ∙

∙ 02/22/2019

Fast Multi-language LSTM-based Online Handwriting Recognition

We describe an online handwriting system that is able to support 102 lan...

0 Victor Carbune, et al. ∙

∙ 10/11/2007

Comparison and Combination of State-of-the-art Techniques for Handwritten Character Recognition: Topping the MNIST Benchmark

Although the recognition of isolated handwritten digits has been a resea...

0 Daniel Keysers, et al. ∙

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