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Top Projects
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Self-Supervised Scene De-occlusion
2020-04-06 ·
We investigate the problem of scene de-occlusion, which aims to recover the underlying occlusion ordering and complete the invisible parts of occluded ...
self-supervised-learning
computer-vision
de-occlusion
research
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29
Talking-Heads Attention
2020-04-05 ·
A variation on multi-head attention which includes linear projections across the attention-heads dimension, immediately before and after the softmax ...
multi-head-attention
talking-heads-attention
attention
transformers
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25
Meta Pseudo Labels
2020-04-04 ·
We all know about meta-learning and pseudo labeling but what if we combine the two techniques for semi-supervised learning? Can it be any beneficial?
semi-supervised-learning
meta-learning
machine-learning
deep-learning
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26
Towards an ImageNet Moment for Speech-to-Text
2020-03-28 ·
An overview of the conditions met by the Speech-to-Text ML subfield to reach the ImageNet moment.
speech-recognition
speech-to-text
asr
russian
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29
TransMoMo: Invariance-Driven Unsupervised Motion Retargeting
2020-04-01 ·
A lightweight video motion retargeting approach that is capable of transferring motion of a person in a source video realistically to another video of a ...
motion-generation
video
retargeting
transmomo
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31
How to setup a local AWS SageMaker environment for PyTorch
2020-04-02 ·
Learn how to develop an ML app for a PyTorch Model faster by using AWS SageMaker local mode vs. deploying directly to AWS.
pytorch
sagemaker
web-services
web-app
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32
What You Need to Know About Product Management for AI
2020-03-31 ·
A product manager for AI does everything a traditional PM does, and much more.
product-management
machine-learning
business
tutorial
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29
Why Batch Norm Causes Exploding Gradients
2020-02-18 ·
Our beloved Batch Norm can actually cause exploding gradients, at least at initialization time.
batch-normalization
exploding-gradients
weights-initialization
deep-learning
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29
The Illustrated FixMatch for Semi-Supervised Learning
2020-03-31 ·
Learn how to leverage unlabeled data using FixMatch for semi-supervised learning
semi-supervised-learning
computer-vision
pytorch
illustrated-series
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35
What does a CNN see?
2019-10-02 ·
First super clean notebook showcasing @TensorFlow 2.0. An example of end-to-end DL with interpretability.
tensorflow
interpretability
computer-vision
tutorial
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10
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