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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...
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09/01/2021
The Impact of Reinitialization on Generalization in Convolutional Neural Networks
Recent results suggest that reinitializing a subset of the parameters of...
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07/26/2021
Continental-Scale Building Detection from High Resolution Satellite Imagery
Identifying the locations and footprints of buildings is vital for many ...
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06/10/2021
Scaling Vision with Sparse Mixture of Experts
Sparsely-gated Mixture of Experts networks (MoEs) have demonstrated exce...
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05/04/2021
MLP-Mixer: An all-MLP Architecture for Vision
Convolutional Neural Networks (CNNs) are the go-to model for computer vi...
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10/14/2020
Deep Ensembles for Low-Data Transfer Learning
In the low-data regime, it is difficult to train good supervised models ...
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09/28/2020
Scalable Transfer Learning with Expert Models
Transfer of pre-trained representations can improve sample efficiency an...
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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 ...
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02/26/2020
Predicting Neural Network Accuracy from Weights
We study the prediction of the accuracy of a neural network given only i...
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12/20/2019
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
State-of-the-art machine learning methods exhibit limited compositional ...
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02/22/2019
Fast Multi-language LSTM-based Online Handwriting Recognition
We describe an online handwriting system that is able to support 102 lan...
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10/11/2007