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The Future of (Transfer Learning in) Natural Language Processing
Transfer Learning in Natural Language Processing (NLP): Open questions, current trends, limits, and future directions.
natural-language-processing transfer-learning tutorial video
Advanced Deep Learning for Computer Vision (ADL4CV)
The Visual Computing Group offers a variety of lectures and seminars on a regular basis, covering hot areas in computer graphics, vision, and machine ...
computer-vision course deep-learning tutorial
Neural Networks for NLP (CMU CS 11-747)
This class will start with a brief overview of neural networks, then spend the majority of the class demonstrating how to apply neural networks to ...
natural-language-processing course carnegie-mellon neural-networks
DeepMind x UCL | Intro to Machine Learning & AI
In this lecture series, research scientists from leading AI research lab, DeepMind, deliver 12 lectures on an exciting selection of topics in Deep ...
machine-learning course video deepmind
NLP for Developers: Shrinking Transformers | Rasa
In this video, Rasa Senior Developer Advocate Rachael will talk about different approaches to make transformer models smaller.
model-compression distillation pruning transformers
Deep Learning for Computer Vision
Special topics class on deep learning for computer vision from the University of Michigan taught by Justin Johnson.
computer-vision deep-learning course video
Synthesizing High-Resolution Images with StyleGAN2
Developed by NVIDIA Researchers, StyleGAN2 yields state-of-the-art results in data-driven unconditional generative image modeling.
generative-adversarial-networks stylegan stylegan2 nvidia
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
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
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