AI Weekly News #8 October 13th, 2019
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
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DenseNets
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DeepWalk Explained
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Inception Network Explained
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StackGAN
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StyleGAN
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Progressive Growing of GANs Explained
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Improved Techniques for Training GANs
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Word2Vec Explained
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Must Read Papers on GANs
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Unsupervised Feature Learning
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Self-Supervised GANs
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Embedding Graphs with Deep Learning
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Transfer Learning in GANs
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ReLU Activation Function
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AC-GAN Explained
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SimGAN Explained
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DC-GAN Explained!
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ResNet Explained!
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Graph Convolutional Networks
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Neural Architecture Search
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Henry AI Labs
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Video Classification with Deep Learning
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BigGANs in Data Augmentation
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Introduction to Deep Learning
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EfficientNet Explained!
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Self-Attention GAN
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Curriculum Learning in Deep Neural Networks
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Deep Learning Podcast #1 | Edward Dixon | Stochastic Weight Averaging
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Deep Compression
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GauGAN Explained!
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AutoML with Hyperband
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DL Podcast #3 | Yannic Kilcher | Population-Based Search
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Weakly Supervised Pretraining
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Image Data Augmentation for Deep Learning
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Unsupervised Data Augmentation
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Wide ResNet Explained!
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RevNet: Backpropagation without Storing Activations
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GANs with Fewer Labels
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BigBiGAN Unsupervised Learning!
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Self-Supervised Learning
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Multi-Task Self-Supervised Learning
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Self-Supervised GANs
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Population Based Training
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Show, Attend and Tell
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Siamese Neural Networks
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WaveGAN Explained!
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VAE-GAN Explained!
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Evolution in Neural Architecture Search!
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AI Research Weekly Update August 18th, 2019
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Weight Agnostic Neural Networks Explained!
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AI Research Weekly Update August 25th, 2019
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CoDeepNEAT
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AI Research Weekly Update September 1st, 2019
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Randomly Wired Neural Networks
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Genetic CNN
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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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