AI Weekly Update - March 15th, 20201 (#28)!

Connor Shorten · Beginner ·🤖 AI Agents & Automation ·5y ago
Thank you for watching! Please Subscribe! Content Links: Behavior from the Void: https://arxiv.org/pdf/2103.04551.pdf Barlow Twins: https://arxiv.org/pdf/2103.03230.pdf Pretrained Transformers as Universal Compute Engines: https://arxiv.org/pdf/2103.05247.pdf A New Lens on Understanding Generalization: https://ai.googleblog.com/2021/03/a-new-lens-on-understanding.html Knowledge Evolution in Neural Networks: https://arxiv.org/pdf/2103.05152.pdf COIN: https://arxiv.org/pdf/2103.03123.pdf CheXseen: https://arxiv.org/pdf/2103.04590.pdf Haystack: The State of Search in 2021: https://medium.com/deepset-ai/haystack-the-state-of-search-in-2021-7388ecb15dfb Hurdles to Long-Form QA: https://arxiv.org/pdf/2103.06332.pdf CUAD Dataset: https://arxiv.org/pdf/2103.06268.pdf WILDS: https://arxiv.org/abs/2012.07421 PAIRED: https://ai.googleblog.com/2021/03/paired-new-multi-agent-approach-for.html Jax101: https://jax.readthedocs.io/en/latest/jax-101/index.html AutoNLP: https://huggingface.co/autonlp VISSL: https://vissl.ai/ Chapters: 0:00 Beginning 15:10 Behavior from the Void 23:50 Barlow Twins 29:07 Universal Compute Engines 35:58 New Lens on Generalization 38:53 Knowledge Evolution in Neural Nets 40:13 COIN 41:35 CheXseen 43:40 Haystack 47:19 Hurdles to Progress in LFQA 50:18 CUAD 51:55 Jax101 53:36 AutoNLP 54:11 VISSL
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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
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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!
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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
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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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Related AI Lessons

Chapters (14)

Beginning
15:10 Behavior from the Void
23:50 Barlow Twins
29:07 Universal Compute Engines
35:58 New Lens on Generalization
38:53 Knowledge Evolution in Neural Nets
40:13 COIN
41:35 CheXseen
43:40 Haystack
47:19 Hurdles to Progress in LFQA
50:18 CUAD
51:55 Jax101
53:36 AutoNLP
54:11 VISSL
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