AI Weekly Update - June 2nd 2021 (#33!)

Connor Shorten · Beginner ·📰 AI News & Updates ·4y ago
Thanks for watching! Please Subscribe! Content Links: Project CodeNet: https://arxiv.org/pdf/2105.12655.pdf CoSQA: https://arxiv.org/pdf/2105.13239.pdf SSL Bug Detection and Repair: https://arxiv.org/pdf/2105.12787.pdf Reward is Enough: https://www.sciencedirect.com/science/article/pii/S0004370221000862 Reward is Enough (Yannic Kilcher's Video): https://www.youtube.com/watch?v=dmH1ZpcROMk AndroidEnv: https://arxiv.org/abs/2105.13231 CogView: https://arxiv.org/pdf/2105.13290.pdf Understanding VQ-VAE: https://ml.berkeley.edu/blog/posts/vq-vae/ Drawing Multiple Augmentation Samples: https://arxiv.org/pdf/2105.13343.pdf On the Bias Against Inductive Biases: https://arxiv.org/abs/2105.14077 Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization: https://www.aclweb.org/anthology/2021.nlpmc-1.pdf#page=76 ByT5 (Colin Raffel's Twitter Thread): https://twitter.com/colinraffel/status/1399525871678103552 Knowledge Inheritance for Pre-trained Language Models: https://arxiv.org/pdf/2105.13880.pdf Keras Code Examples Seq2Seq NMT: https://keras.io/examples/nlp/neural_machine_translation_with_transformer Anthropic: https://www.anthropic.com/news/announcement OpenAI Startup Fund: https://openai.com/fund/ HF Newsletter: https://huggingface.curated.co/issues/9 PaperswithCode Dataset Loaders: https://paperswithcode.com/dataset/sst Chapters 0:00 Intro 8:43 Project CodeNet 10:37 CoSQA 13:34 SSL Bug Detection and Repair 15:05 Reward is Enough 17:52 AndroidEnv 19:27 CogView 23:47 Drawing Multiple Augmentations 25:15 On the Bias Against Inductive BIases 26:47 Medically-Aware GPT-3 29:59 ByT5 31:45 Knowledge Inheritance for LMs 33:00 KCE Seq2Seq NMT 34:11 Anthropic 34:48 OpenAI Startup Fund 35:58 HF Newsletter 37:58 Dataset Loaders
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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 StackGAN
StackGAN
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5 StyleGAN
StyleGAN
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6 Progressive Growing of GANs Explained
Progressive Growing of GANs Explained
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7 Improved Techniques for Training GANs
Improved Techniques for Training GANs
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8 Word2Vec Explained
Word2Vec Explained
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9 Must Read Papers on GANs
Must Read Papers on GANs
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10 Unsupervised Feature Learning
Unsupervised Feature Learning
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11 Self-Supervised GANs
Self-Supervised GANs
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12 Embedding Graphs with Deep Learning
Embedding Graphs with Deep Learning
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13 Transfer Learning in GANs
Transfer Learning in GANs
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14 ReLU Activation Function
ReLU Activation Function
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15 AC-GAN Explained
AC-GAN Explained
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16 SimGAN Explained
SimGAN Explained
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17 DC-GAN Explained!
DC-GAN Explained!
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18 ResNet Explained!
ResNet Explained!
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19 Graph Convolutional Networks
Graph Convolutional Networks
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20 Neural Architecture Search
Neural Architecture Search
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21 Henry AI Labs
Henry AI Labs
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22 Video Classification with Deep Learning
Video Classification with Deep Learning
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23 BigGANs in Data Augmentation
BigGANs in Data Augmentation
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24 Introduction to Deep Learning
Introduction to Deep Learning
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25 EfficientNet Explained!
EfficientNet Explained!
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26 Self-Attention GAN
Self-Attention GAN
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27 Curriculum Learning in Deep Neural Networks
Curriculum Learning in Deep Neural Networks
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28 Deep Learning Podcast #1 | Edward Dixon | Stochastic Weight Averaging
Deep Learning Podcast #1 | Edward Dixon | Stochastic Weight Averaging
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29 Deep Compression
Deep Compression
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30 Skin Cancer Classification with Deep Learning
Skin Cancer Classification with Deep Learning
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31 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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32 The Lottery Ticket Hypothesis Explained!
The Lottery Ticket Hypothesis Explained!
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33 SqueezeNet
SqueezeNet
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34 GauGAN Explained!
GauGAN Explained!
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35 AutoML with Hyperband
AutoML with Hyperband
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36 DL Podcast #3 | Yannic Kilcher | Population-Based Search
DL Podcast #3 | Yannic Kilcher | Population-Based Search
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37 Weakly Supervised Pretraining
Weakly Supervised Pretraining
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38 Image Data Augmentation for Deep Learning
Image Data Augmentation for Deep Learning
Connor Shorten
39 Unsupervised Data Augmentation
Unsupervised Data Augmentation
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40 Wide ResNet Explained!
Wide ResNet Explained!
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41 RevNet: Backpropagation without Storing Activations
RevNet: Backpropagation without Storing Activations
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42 GANs with Fewer Labels
GANs with Fewer Labels
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43 BigBiGAN Unsupervised Learning!
BigBiGAN Unsupervised Learning!
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44 Self-Supervised Learning
Self-Supervised Learning
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45 Multi-Task Self-Supervised Learning
Multi-Task Self-Supervised Learning
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46 Self-Supervised GANs
Self-Supervised GANs
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47 Population Based Training
Population Based Training
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48 Show, Attend and Tell
Show, Attend and Tell
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49 Siamese Neural Networks
Siamese Neural Networks
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50 WaveGAN Explained!
WaveGAN Explained!
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51 VAE-GAN Explained!
VAE-GAN Explained!
Connor Shorten
52 Evolution in Neural Architecture Search!
Evolution in Neural Architecture Search!
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53 AI Research Weekly Update August 18th, 2019
AI Research Weekly Update August 18th, 2019
Connor Shorten
54 Weight Agnostic Neural Networks Explained!
Weight Agnostic Neural Networks Explained!
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55 AI Research Weekly Update August 25th, 2019
AI Research Weekly Update August 25th, 2019
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56 Neuroevolution of Augmenting Topologies (NEAT)
Neuroevolution of Augmenting Topologies (NEAT)
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57 CoDeepNEAT
CoDeepNEAT
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58 AI Research Weekly Update September 1st, 2019
AI Research Weekly Update September 1st, 2019
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59 Randomly Wired Neural Networks
Randomly Wired Neural Networks
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60 Genetic CNN
Genetic CNN
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Chapters (17)

Intro
8:43 Project CodeNet
10:37 CoSQA
13:34 SSL Bug Detection and Repair
15:05 Reward is Enough
17:52 AndroidEnv
19:27 CogView
23:47 Drawing Multiple Augmentations
25:15 On the Bias Against Inductive BIases
26:47 Medically-Aware GPT-3
29:59 ByT5
31:45 Knowledge Inheritance for LMs
33:00 KCE Seq2Seq NMT
34:11 Anthropic
34:48 OpenAI Startup Fund
35:58 HF Newsletter
37:58 Dataset Loaders
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