AI Weekly News #8 October 13th, 2019

Connor Shorten · Beginner ·📰 AI News & Updates ·6y ago
0:50 Overview 3:05 PyTorch 1.3 https://ai.facebook.com/blog/pytorch-13-adds-mobile-privacy-quantization-and-named-tensors/ 6:30 The Gradient PyTorch vs. Tensorflow https://thegradient.pub/state-of-ml-frameworks-2019-pytorch-dominates-research-tensorflow-dominates-industry/ 8:20 AllenAI PyTorch Cloud TPUs https://github.com/allenai/tpu_pretrain 9:30 NVIDIA Inception at GTC https://news.developer.nvidia.com/cutting-edge-startups-gather-in-washington-for-gtc-dc/ 10:55 Microsoft VLP https://www.microsoft.com/en-us/research/blog/expanding-scene-and-language-understanding-with-large-scale-pre-training-and-a-unified-architecture/ 12:14 Google ROBEL https://ai.googleblog.com/2019/10/robel-robotics-benchmarks-for-learning.html 14:45 FacebookAI: Detectron2 https://ai.facebook.com/blog/-detectron2-a-pytorch-based-modular-object-detection-library-/ 16:04 Is Rectified Adam actually *better* than Adam? https://www.pyimagesearch.com/2019/10/07/is-rectified-adam-actually-better-than-adam/ 17:25 Uber - Querying self-driving car datasets https://eng.uber.com/searchable-ground-truth-atg/ 18:00 Presto at Uber https://eng.uber.com/presto-team-profile/ 18:42 NVIDIA Top 5 AI Developer Stories of the Week https://news.developer.nvidia.com/october-top-5-video/ 20:05 NVIDIA CUDA-X Library Updates https://news.developer.nvidia.com/latest-updates-to-nvidia-cuda-x-libraries/ 21:25 NVIDIA HighBeamnet https://news.developer.nvidia.com/dnn-based-perception-for-automatic-high-beam-control/ 21:55 Weights & Biases: 6 Tips https://www.wandb.com/articles/debug-ml-model 23:00 DeepMind BigBiGAN Pre-trained model released https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/bigbigan_with_tf_hub.ipynb#scrollTo=9v58CTfl8jTc 24:20 TheBatch - deeplearning.ai https://info.deeplearning.ai/the-batch-tesla-acquires-deepscale-france-backs-face-recognition-robots-learn-in-virtual-reality-acquirers-snag-ai-startups Thanks for watching the 8th episode of AI Research Weekly Update! Plea
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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
Connor Shorten
7 Improved Techniques for Training GANs
Improved Techniques for Training GANs
Connor Shorten
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!
Connor Shorten
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
Connor Shorten
32 The Lottery Ticket Hypothesis Explained!
The Lottery Ticket Hypothesis Explained!
Connor Shorten
33 SqueezeNet
SqueezeNet
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34 GauGAN Explained!
GauGAN Explained!
Connor Shorten
35 AutoML with Hyperband
AutoML with Hyperband
Connor Shorten
36 DL Podcast #3 | Yannic Kilcher | Population-Based Search
DL Podcast #3 | Yannic Kilcher | Population-Based Search
Connor Shorten
37 Weakly Supervised Pretraining
Weakly Supervised Pretraining
Connor Shorten
38 Image Data Augmentation for Deep Learning
Image Data Augmentation for Deep Learning
Connor Shorten
39 Unsupervised Data Augmentation
Unsupervised Data Augmentation
Connor Shorten
40 Wide ResNet Explained!
Wide ResNet Explained!
Connor Shorten
41 RevNet: Backpropagation without Storing Activations
RevNet: Backpropagation without Storing Activations
Connor Shorten
42 GANs with Fewer Labels
GANs with Fewer Labels
Connor Shorten
43 BigBiGAN Unsupervised Learning!
BigBiGAN Unsupervised Learning!
Connor Shorten
44 Self-Supervised Learning
Self-Supervised Learning
Connor Shorten
45 Multi-Task Self-Supervised Learning
Multi-Task Self-Supervised Learning
Connor Shorten
46 Self-Supervised GANs
Self-Supervised GANs
Connor Shorten
47 Population Based Training
Population Based Training
Connor Shorten
48 Show, Attend and Tell
Show, Attend and Tell
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49 Siamese Neural Networks
Siamese Neural Networks
Connor Shorten
50 WaveGAN Explained!
WaveGAN Explained!
Connor Shorten
51 VAE-GAN Explained!
VAE-GAN Explained!
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52 Evolution in Neural Architecture Search!
Evolution in Neural Architecture Search!
Connor Shorten
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!
Connor Shorten
55 AI Research Weekly Update August 25th, 2019
AI Research Weekly Update August 25th, 2019
Connor Shorten
56 Neuroevolution of Augmenting Topologies (NEAT)
Neuroevolution of Augmenting Topologies (NEAT)
Connor Shorten
57 CoDeepNEAT
CoDeepNEAT
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58 AI Research Weekly Update September 1st, 2019
AI Research Weekly Update September 1st, 2019
Connor Shorten
59 Randomly Wired Neural Networks
Randomly Wired Neural Networks
Connor Shorten
60 Genetic CNN
Genetic CNN
Connor Shorten

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Chapters (17)

0:50 Overview
3:05 PyTorch 1.3
6:30 The Gradient PyTorch vs. Tensorflow
8:20 AllenAI PyTorch Cloud TPUs
9:30 NVIDIA Inception at GTC
10:55 Microsoft VLP
12:14 Google ROBEL
14:45 FacebookAI: Detectron2
16:04 Is Rectified Adam actually *better* than Adam?
17:25 Uber - Querying self-driving car datasets
18:00 Presto at Uber
18:42 NVIDIA Top 5 AI Developer Stories of the Week
20:05 NVIDIA CUDA-X Library Updates
21:25 NVIDIA HighBeamnet
21:55 Weights & Biases: 6 Tips
23:00 DeepMind BigBiGAN Pre-trained model released
24:20 TheBatch - deeplearning.ai
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