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03/30/2023
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision
There has been a recent explosion of computer vision models which perfor...
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02/16/2023
Tuning computer vision models with task rewards
Misalignment between model predictions and intended usage can be detrime...
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05/20/2022
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes
We introduce UViM, a unified approach capable of modeling a wide range o...
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02/24/2022
Learning to Merge Tokens in Vision Transformers
Transformers are widely applied to solve natural language understanding ...
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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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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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10/13/2020
Which Model to Transfer? Finding the Needle in the Growing Haystack
Transfer learning has been recently popularized as a data-efficient alte...
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09/30/2020
Training general representations for remote sensing using in-domain knowledge
Automatically finding good and general remote sensing representations al...
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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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11/15/2019