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REGISTRATION & BREAKFAST

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WELCOME

BREAKTHROUGHS IN AI

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Reinforcement Learning: Past, Present, and Future Perspectives

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Few-Shot Learning: Thoughts On Where We Should Be Going

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AI and Security: Lessons, Challenges and Future Directions

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COFFEE

NATURAL LANGUAGE PROCESSING

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Transfer Learning in NLP : Concepts, Tools, and Application to Language Generation Tasks

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Hierarchical Decision Making by Generating and Following Natural Language Instructions

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LUNCH

REINFORCEMENT LEARNING

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Building Knowledge For AI Agents With Reinforcement Learning

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Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing

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Rewards, Resets, Exploration: Bottlenecks for Scaling Deep RL in Robotics

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COFFEE

GENERATIVE MODELS

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Enabling World Models via Unsupervised Representation Learning of Environments

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Artificial Intelligence and Creativity

COMPUTER VISION

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Advancements in Medical Screening Using Computer Vision

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BREAK

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Deep Learning & Computer Vision for Self-Driving Cars

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Visual Recognition Beyond 2D

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CONVERSATION & DRINKS

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DOORS OPEN

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WELCOME

AI INFRASTRUCTURE & DEPLOYMENT

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Building Infrastructure for Deep Learning

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AI for AI: Automating Machine Learning

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Scaling AI Infrastructure

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COFFEE

EFFICIENT AI

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Generalizing From Few Examples With Meta-Learning

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Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning

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LUNCH

SEARCH & RECOMMENDATIONS

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A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation

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Instant Recommendations

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Word Embeddings in Search

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COFFEE

EXPLAINABILITY & INTERPRETABILITY

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How to Explain Neural Network Decisions?

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The Human Body is a Black Box: Supporting Clinical Decision-Making with Deep Learning

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Detecting Bugs and Explaining Predictions of Machine Learning Models

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END OF SUMMIT & FAREWELL MIXER

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