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02/17/2022
Designing Effective Sparse Expert Models
Scale has opened new frontiers in natural language processing – but at a...
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09/03/2021
Revisiting 3D ResNets for Video Recognition
A recent work from Bello shows that training and scaling strategies may ...
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03/13/2021
Revisiting ResNets: Improved Training and Scaling Strategies
Novel computer vision architectures monopolize the spotlight, but the im...
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02/17/2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention
We present lambda layers – an alternative framework to self-attention – ...
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10/06/2020
Global Self-Attention Networks for Image Recognition
Recently, a series of works in computer vision have shown promising resu...
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06/13/2019
Stand-Alone Self-Attention in Vision Models
Convolutions are a fundamental building block of modern computer vision ...
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04/22/2019
Attention Augmented Convolutional Networks
Convolutional networks have been the paradigm of choice in many computer...
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10/04/2018
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Ranking is a central task in machine learning and information retrieval....
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08/08/2018
Backprop Evolution
The back-propagation algorithm is the cornerstone of deep learning. Desp...
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09/21/2017
Neural Optimizer Search with Reinforcement Learning
We present an approach to automate the process of discovering optimizati...
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11/29/2016
