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11/25/2021
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
A classical problem in computer vision is to infer a 3D scene representa...
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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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04/07/2021
Differentiable Patch Selection for Image Recognition
Neural Networks require large amounts of memory and compute to process h...
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10/22/2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
While the Transformer architecture has become the de-facto standard for ...
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02/08/2019
Insertion Transformer: Flexible Sequence Generation via Insertion Operations
We present the Insertion Transformer, an iterative, partially autoregres...
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09/12/2018
An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation
Music relies heavily on self-reference to build structure and meaning. W...
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07/10/2018
Universal Transformers
Self-attentive feed-forward sequence models have been shown to achieve i...
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02/15/2018
Image Transformer
Image generation has been successfully cast as an autoregressive sequenc...
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06/12/2017
