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NEURAL RENDERING MODEL (NRM): JOINT GENERATION AND PREDICTION FOR - PowerPoint PPT Presentation

NEURAL RENDERING MODEL (NRM): JOINT GENERATION AND PREDICTION FOR SEMI-SUPERVISED LEARNING Tan Nguyen Joint work with Nhat Ho, Ankit B. Patel, Anima Anandkumar , Michael I. Jordan, and Richard G. Baraniuk Deep Learning The Current


  1. NEURAL RENDERING MODEL (NRM): JOINT GENERATION AND PREDICTION FOR SEMI-SUPERVISED LEARNING Tan Nguyen Joint work with Nhat Ho, Ankit B. Patel, Anima Anandkumar , Michael I. Jordan, and Richard G. Baraniuk

  2. Deep Learning – The Current State-of-the-Art Object Recognition Image Segmentation Object Tracking Deep learning models, such as the Deep Convolutional Networks, achieve state-of-the-art performance in various visual perception tasks

  3. Deep Learning – Behind the Scene Massive Amount of Big Computer Efficient Frameworks Labeled Data

  4. Deep Learning – Behind the Scene Massive Amount of Big Computer Efficient Frameworks Labeled Data AWS, MXNet, Google Cloud, PyTorch, Salesforce, Tensorflow, … …

  5. Deep Learning – Behind the Scene It is often costly or infeasible to acquire and annotate massive datasets

  6. Semi-Supervised Learning Raw data from HTML Cat Dog

  7. Learning from Unlabeled Data is Challenging Raw data from HTML One solution for unsupervised learning is to employ the hidden structure in the data to facilitate the learning

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