NeurIPS 2019 Schedule

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SUN 8 DEC

9 a.m.

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AliGraph: A Comprehensive Graph Neural Network Platform

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Deep Learning-Based End-to-end Automatic Contouring and Automated Radiation Therapy Treatment Planning System

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Efficient Deep Learning computing with Intel® Nervana™ Neural Network Processor for Training

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PaddlePaddle – An industry-grade end-to-end deep learning platform

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Showcasing how extremely large language models can be trained using new AI processor technology from Graphcore,

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Tensor Networks with TensorNetwork

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Advanced Hyperparameter Optimization Methods

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A.I.-assisted music generation

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Challenges, Advances and Opportunities for Machine Learning Algorithms and Infrastructure at Alibaba

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Multi-modal Research to Production with PyTorch and Facebook

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Causal Inference & Reinforcement learning: Making the right intervention

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From research to Industrial NLP at Baidu

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Real world reinforcement learning with Vowpal Wabbit

9:10 a.m.

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Intel® Nervana™ NNP: domain specific architectures for inference & training

9:35 a.m.

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Innovative approaches in training large scale language models

10 a.m.

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Accelerating deep learning at wafer scale

10:55 a.m.

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Interpretability - now what?

11:20 a.m.

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Machine Learning for Perception at Cruise

11:45 a.m.

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Federated Learning in Healthcare

1:40 p.m.

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Explainable Reinforcement Learning

2 p.m.

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Responsible and Reproducible AI with PyTorch and Facebook

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AI & Machine Learning in Finance: Applications and Opportunities

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Tensor Networks with TensorNetwork

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Hands-on Workshop: Implementing High-Performance AI Workloads with Habana AI Processors

2:15 p.m.

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Private Federated Learning

2:40 p.m.

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How the gaming industry is driving advances in AI research

3:35 p.m.

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Challenges in Analyzing Two-sided Market and Its Application on Ride-sharing Platform

4 p.m.

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XPRIZE & AI for Good: Using AI in Incentivized Prizes to Solve Today's Challenges

4:35 p.m.

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Trust and AI – addressing AI risks and governance

5 p.m.

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Bridging the Gap Between Effective Algorithms and Medical Adoption

5:35 p.m.

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Computational Creativity for Music and Gastronomy Applications