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Merge pull request #1299 from ELC/pytorchconf-2019
Add PytorchConf 2019
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‎pytorchconf-2019/category.json‎

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{
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"title": "PyTorch Conference 2019"
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}

‎pytorchconf-2019/videos/apex-michael-carilli-nvidia.json‎

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{
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"description": "Apex is an open-source PyTorch extension that helps users maximize deep learning training performance on NVIDIA GPUs. Mixed precision utilities in Apex are designed to improve training speed while maintaining the accuracy and stability of training in single precision. Learn more in this talk.",
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"duration": 323,
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"language": "eng",
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"recorded": "2019-10-16",
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"related_urls": [],
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"speakers": [
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"Michael Carilli"
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],
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"tags": [
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"AI",
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"APEX",
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"Artificial Intelligence",
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"Deep Learning",
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"Distributed Training",
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"Facebook",
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"ML",
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"Machine Learning",
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"Mixed Precision",
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"NVIDIA",
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"NVIDIA GPU",
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"PyTorch",
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"PyTorch 1.3"
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],
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"thumbnail_url": "https://i.ytimg.com/vi_webp/3wLR7EuO4I8/maxresdefault.webp",
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"title": "Apex",
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"videos": [
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{
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"type": "youtube",
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"url": "https://www.youtube.com/watch?v=3wLR7EuO4I8"
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}
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]
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}

‎pytorchconf-2019/videos/collaborative-natural-language-inference-sasha-rush-cornell.json‎

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{
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"description": "Get an overview from Professor Sasha Rush of Cornell on the latest research in collaborative natural language inference.",
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"duration": 636,
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"language": "eng",
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"recorded": "2019-10-16",
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"related_urls": [],
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"speakers": [
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"Sasha Rush"
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],
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"tags": [
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"AI",
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"AI Research",
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"Artificial Intelligence",
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"Cornell",
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"Facebook",
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"ML",
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"Machine Learning",
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"PyTorch",
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"PyTorch 1.3",
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"natural language inference"
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],
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"thumbnail_url": "https://i.ytimg.com/vi_webp/GeYZR-Icw4U/maxresdefault.webp",
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"title": "Collaborative Natural Language Inference",
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"videos": [
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{
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"type": "youtube",
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"url": "https://www.youtube.com/watch?v=GeYZR-Icw4U"
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}
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]
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}

‎pytorchconf-2019/videos/crypten-laurens-van-der-maaten.json‎

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{
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"description": "Practical applications of ML via cloud-based or machine-learning-as-a-service (MLaaS) platforms pose a range of security and privacy challenges. In particular, users of these platforms may not want or be able to share unencrypted data, which prevents them from taking full advantage of ML tools. CrypTen is a new community-based research platform for taking the field of privacy-preserving ML forward.",
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"duration": 636,
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"language": "eng",
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"recorded": "2019-10-16",
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"related_urls": [],
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"speakers": [
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"Laurens van der Maaten"
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],
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"tags": [
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"AI",
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"Artificial Intelligence",
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"CrypTen",
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"Facebook",
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"ML",
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"MLaaS",
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"Machine Learning",
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"Privacy",
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"Private AI",
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"PyTorch",
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"PyTorch 1.3"
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],
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"thumbnail_url": "https://i.ytimg.com/vi_webp/GSCALeke5Lk/maxresdefault.webp",
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"title": "CrypTen",
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"videos": [
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{
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"type": "youtube",
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"url": "https://www.youtube.com/watch?v=GSCALeke5Lk"
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}
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]
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}

‎pytorchconf-2019/videos/dataloader-design-for-pytorch-tongzhou-wang-mit.json‎

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{
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"description": "Learn about the PyTorch data loading pipeline and components - the dataset, the sampler, and the dataloader.",
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"duration": 391,
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"language": "eng",
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"recorded": "2019-10-16",
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"related_urls": [],
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"speakers": [
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"Tongzhou Wang"
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],
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"tags": [
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"AI",
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"AI research",
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"Artificial Intelligence",
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"Dataloader Design",
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"Facebook",
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"MIT",
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"ML",
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"Machine Learning",
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"Massachusetts Institute of Technology",
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"PyTorch",
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"PyTorch 1.3",
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"PyTorch Datasets",
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"data loading pipelines",
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"data sets"
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],
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"thumbnail_url": "https://i.ytimg.com/vi_webp/sCsPzVumtR8/maxresdefault.webp",
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"title": "Dataloader Design for PyTorch",
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"videos": [
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{
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"type": "youtube",
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"url": "https://www.youtube.com/watch?v=sCsPzVumtR8"
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}
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]
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}

‎pytorchconf-2019/videos/detectron2-next-gen-object-detection-library-yuxin-wu.json‎

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{
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"description": "Object detection and segmentation are used for tasks ranging from autonomous vehicles to content understanding for platform integrity. Learn about Detectron2, an object detection library now implemented in PyTorch. Detectron2 provides support for the latest models and tasks, increased flexibility to aid computer vision research, and improvements in maintainability and scalability to support production use cases.",
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"duration": 608,
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"language": "eng",
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"recorded": "2019-10-16",
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"related_urls": [],
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"speakers": [
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"Yuxin Wu"
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],
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"tags": [
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"AI",
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"Artificial Intelligence",
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"Detection library",
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"Detectron2",
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"Facebook",
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"ML",
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"Machine Learning",
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"PyTorch",
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"PyTorch 1.3",
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"Segmentation",
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"computer vision",
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"computer vision research",
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"cv",
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"detectron",
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"object detection"
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],
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"thumbnail_url": "https://i.ytimg.com/vi_webp/egs0XN-xjA0/maxresdefault.webp",
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"title": "Detectron2 - Next Gen Object Detection Library",
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"videos": [
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{
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"type": "youtube",
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"url": "https://www.youtube.com/watch?v=egs0XN-xjA0"
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}
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]
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}

‎pytorchconf-2019/videos/linear-algebra-in-pytorch-vishwak-srinivasan-cmu.json‎

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{
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"description": "PyTorch 1.2 and 1.3 have added several enhancements for linear algebra in PyTorch, including native batching support, support for gradients, and new semantic naming schemes. Learn more in this session.",
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"duration": 223,
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"language": "eng",
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"recorded": "2019-10-16",
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"related_urls": [],
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"speakers": [
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"Vishwak Srinivasan"
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],
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"tags": [
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"AI",
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"Artificial Intelligence",
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"Facebook",
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"Linear Algebra in PyTorch",
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"ML",
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"Machine Learning",
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"PyTorch",
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"PyTorch 1.3",
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"Semantic naming schemes",
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"Support for Gradients",
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"native batching support"
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],
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"thumbnail_url": "https://i.ytimg.com/vi_webp/561M45TsQP0/maxresdefault.webp",
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"title": "Linear Algebra in PyTorch",
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"videos": [
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{
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"type": "youtube",
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"url": "https://www.youtube.com/watch?v=561M45TsQP0"
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}
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]
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}

‎pytorchconf-2019/videos/model-interpretability-with-captum-narine-kokhilkyan.json‎

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{
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"description": "As models become ever more complex, it is increasingly important to develop new methods for model interpretability. Learn about Captum, a new tool for helping developers working in PyTorch understand why their model generates a specific output. Captum\u2019s algorithms include integrated gradients, conductance, SmoothGrad and VarGrad, and DeepLift.",
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"duration": 499,
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"language": "eng",
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"recorded": "2019-10-16",
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"related_urls": [],
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"speakers": [
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"Narine Kokhilkyan"
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],
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"tags": [],
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"thumbnail_url": "https://i.ytimg.com/vi_webp/iVSIFm0UN9I/maxresdefault.webp",
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"title": "Model Interpretability with Captum",
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"videos": [
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{
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"type": "youtube",
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"url": "https://www.youtube.com/watch?v=iVSIFm0UN9I"
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}
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]
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}

‎pytorchconf-2019/videos/privacy-preserving-ai-andrew-trask-openmined.json‎

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{
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"description": "Learn the basics of secure and private AI techniques, including federated learning and secure multi-party computation. In this talk, Andrew Trask of OpenMined highlights the importance of privacy preserving machine learning, and how to use privacy-focused tools like PySyft.",
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"duration": 963,
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"language": "eng",
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"recorded": "2019-10-16",
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"related_urls": [],
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"speakers": [
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"Andrew Trask"
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],
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"tags": [
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"AI",
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"Artificial Intelligence",
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"Facebook",
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"ML",
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"Machine Learning",
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"OpenMined",
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"Privacy",
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"Private AI",
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"PySyft",
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"PyTorch",
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"PyTorch 1.3",
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"private AI techniques"
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],
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"thumbnail_url": "https://i.ytimg.com/vi_webp/NJBBE_SN90A/maxresdefault.webp",
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"title": "Privacy Preserving AI",
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"videos": [
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{
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"type": "youtube",
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"url": "https://www.youtube.com/watch?v=NJBBE_SN90A"
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}
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]
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}

‎pytorchconf-2019/videos/pytorch-at-dolby-labs-vivek-kumar-dolby-labs.json‎

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{
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"description": "Hear how Dolby Labs is using PyTorch to develop deep learning for audio, and learn about the challenges that audio AI presents and the breakthroughs and applications they\u2019ve built at Dolby to push the field forward.",
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"duration": 621,
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"language": "eng",
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"recorded": "2019-10-16",
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"related_urls": [],
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"speakers": [
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"Vivek Kumar"
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],
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"tags": [
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"AI",
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"Artificial Intelligence",
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"Deep learning audio",
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"Dolby Labs",
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"Facebook",
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"ML",
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"Machine Learning",
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"PyTorch",
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"PyTorch 1.3",
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"audio ai"
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],
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"thumbnail_url": "https://i.ytimg.com/vi_webp/K5hD0et_wUc/maxresdefault.webp",
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"title": "PyTorch at Dolby Labs",
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"videos": [
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{
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"type": "youtube",
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"url": "https://www.youtube.com/watch?v=K5hD0et_wUc"
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}
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]
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}

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