AI Weekly Update - March 29th, 2021 (#30)!

Connor Shorten · Beginner ·📄 Research Papers Explained ·5y ago
Thank you for watching! Please Subscribe! Content Links: Recursive Classification: https://ai.googleblog.com/2021/03/recursive-classification-replacing.html Industrial Assembly via RL: https://arxiv.org/pdf/2103.11512.pdf Model-based RL in Healthcare: https://twitter.com/christina_x_ji/status/1374815904790421508 Can ViTs learn w/o Natural Images?: https://arxiv.org/pdf/2103.13023.pdf Universal Compute Engines: https://bair.berkeley.edu/blog/2021/03/23/universal-computation/ DeepViT: https://arxiv.org/pdf/2103.11886.pdf Conv Designs in Visual Transformers: https://arxiv.org/pdf/2103.11816.pdf …
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Chapters (17)

Overview
19:13 Recursive Classification
22:10 Industrial Assembly via RL
25:55 Model-based RL in Healthcare
28:28 Can ViTs learn w/o Natural Images?
30:08 Universal Compute Engines
32:20 DeepViT
34:38 Conv Designs in Visual Transformers
38:17 Scaling Local Self-Attn. for Vision
39:19 Visual PT w/ Contrastive Detection 41:37 Leveraging Background Augmentations
42:54 AutoMix
44:31 ADAPET
47:06 Determined - ALBERT
48:56 Long-Form Open-Domain QA
52:54 GENRE
54:28 PyTorch Profiling
55:32 Role Playing Paper Reviews

Playlist

Playlist UUHB9VepY6kYvZjj0Bgxnpbw · Connor Shorten · 0 of 60

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1 DenseNets
DenseNets
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 2 DeepWalk Explained
DeepWalk Explained
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 3 Inception Network Explained
Inception Network Explained
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 4 AutoAugment
AutoAugment
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 5 StackGAN
StackGAN
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 6 StyleGAN
StyleGAN
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 7 Progressive Growing of GANs Explained
Progressive Growing of GANs Explained
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 8 Improved Techniques for Training GANs
Improved Techniques for Training GANs
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 9 Word2Vec Explained
Word2Vec Explained
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 10 Must Read Papers on GANs
Must Read Papers on GANs
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 11 Unsupervised Feature Learning
Unsupervised Feature Learning
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 12 Self-Supervised GANs
Self-Supervised GANs
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 13 Embedding Graphs with Deep Learning
Embedding Graphs with Deep Learning
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 14 Transfer Learning in GANs
Transfer Learning in GANs
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 15 ReLU Activation Function
ReLU Activation Function
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 16 AC-GAN Explained
AC-GAN Explained
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 17 SimGAN Explained
SimGAN Explained
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 18 DC-GAN Explained!
DC-GAN Explained!
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 19 ResNet Explained!
ResNet Explained!
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 20 Graph Convolutional Networks
Graph Convolutional Networks
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 21 Neural Architecture Search
Neural Architecture Search
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 22 Henry AI Labs
Henry AI Labs
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 23 Video Classification with Deep Learning
Video Classification with Deep Learning
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 24 BigGANs in Data Augmentation
BigGANs in Data Augmentation
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 25 Introduction to Deep Learning
Introduction to Deep Learning
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 26 EfficientNet Explained!
EfficientNet Explained!
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 27 Self-Attention GAN
Self-Attention GAN
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 28 Curriculum Learning in Deep Neural Networks
Curriculum Learning in Deep Neural Networks
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 29 Deep Learning Podcast #1 | Edward Dixon | Stochastic Weight Averaging
Deep Learning Podcast #1 | Edward Dixon | Stochastic Weight Averaging
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 30 Deep Compression
Deep Compression
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 31 Skin Cancer Classification with Deep Learning
Skin Cancer Classification with Deep Learning
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 32 Deep Learning Podcast #2 | Edward Peake | Deep Learning in Medical Imaging
Deep Learning Podcast #2 | Edward Peake | Deep Learning in Medical Imaging
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 33 The Lottery Ticket Hypothesis Explained!
The Lottery Ticket Hypothesis Explained!
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 34 SqueezeNet
SqueezeNet
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 35 GauGAN Explained!
GauGAN Explained!
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 36 AutoML with Hyperband
AutoML with Hyperband
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 37 DL Podcast #3 | Yannic Kilcher | Population-Based Search
DL Podcast #3 | Yannic Kilcher | Population-Based Search
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 38 Weakly Supervised Pretraining
Weakly Supervised Pretraining
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 39 Image Data Augmentation for Deep Learning
Image Data Augmentation for Deep Learning
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 40 Unsupervised Data Augmentation
Unsupervised Data Augmentation
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 41 Wide ResNet Explained!
Wide ResNet Explained!
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 42 RevNet: Backpropagation without Storing Activations
RevNet: Backpropagation without Storing Activations
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 43 GANs with Fewer Labels
GANs with Fewer Labels
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 44 BigBiGAN Unsupervised Learning!
BigBiGAN Unsupervised Learning!
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 45 Self-Supervised Learning
Self-Supervised Learning
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 46 Multi-Task Self-Supervised Learning
Multi-Task Self-Supervised Learning
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 47 Self-Supervised GANs
Self-Supervised GANs
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 48 Population Based Training
Population Based Training
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 49 Show, Attend and Tell
Show, Attend and Tell
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 50 Siamese Neural Networks
Siamese Neural Networks
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 51 WaveGAN Explained!
WaveGAN Explained!
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 52 VAE-GAN Explained!
VAE-GAN Explained!
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 53 Evolution in Neural Architecture Search!
Evolution in Neural Architecture Search!
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 54 AI Research Weekly Update August 18th, 2019
AI Research Weekly Update August 18th, 2019
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 55 Weight Agnostic Neural Networks Explained!
Weight Agnostic Neural Networks Explained!
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 56 AI Research Weekly Update August 25th, 2019
AI Research Weekly Update August 25th, 2019
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 57 Neuroevolution of Augmenting Topologies (NEAT)
Neuroevolution of Augmenting Topologies (NEAT)
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 58 CoDeepNEAT
CoDeepNEAT
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 59 AI Research Weekly Update September 1st, 2019
AI Research Weekly Update September 1st, 2019
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 60 Randomly Wired Neural Networks
Randomly Wired Neural Networks
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