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Zero-Shot Learning for Text Classification
A visual summary of “Train Once, Test Anywhere” paper for zero-shot text classification
zero-shot-learning natural-language-processing tutorial article
A Visual Guide to Recurrent Layers in Keras
Understand how to use Recurrent Layers like RNN, GRU and LSTM in Keras with diagrams.
recurrent-neural-networks lstm keras tensorflow
Tips for Successfully Training Transformers on Small Datasets
It turns out that you can easily train transformers on small datasets when you use tricks (and have the patience to train a very long time).
transformers small-datasets training ptb
Self-Supervised Scene De-occlusion
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 image-generation
Google Colab Tips for Power Users
Learn about lesser-known features in Google Colab to improve your productivity.
notebook article google-colab
Illustrated Guide to Transformers: Step by Step Explanation
In this post, we’ll focus on the one paper that started it all, “Attention is all you need”.
transformers illustrated natural-language-processing tutorial
The Lottery Ticket Hypothesis: A Survey
Dive deeper into the lottery ticket hypothesis and review the literature after the original ICLR best paper award by Frankle & Carbin (2019).
lottery-ticket-hypothesis survey deep-learning article
SimpleGAN
A Tensorflow-based framework to ease the training of generative models
computer-vision generative-adversarial-networks tensorflow deep-learning
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