• Keynote from Jeff Dean (9 AM - 10 AM IST, August 20) 

  • Link:  https://youtu.be/klb60Rr8BRY 

• Panel Discussion (5 PM - 6 PM IST, August 20) - "Why Pursue a Career in Research" 

  • Link: https://youtu.be/7F7T6zPGtSA

  • Panelists: (Moderated by: Ashwani Sharma) 

    • Jayant Haritsa, IISc Bangalore

    • Shachi Dave, Google Research India

    • Arsha Nagrani, Oxford University and Google Research

    • Varun Gulshan, Google Research India

    • Chaitanya Patel, Google Research India

• Panel Discussion (5 PM - 6 PM IST, August 21): "AI in India" 

  • Link: https://youtu.be/jCJd-4Yf5M4 

  • Panelists (Moderated by Manish Gupta) 

    • Pranav Tiwari,  Nurture.Farm 

    • Anurag Agrawal, CSIR Institute of Genomics and Integrative Biology

    • Anna Roy, NITI Aayog

    • Arati Deo, Advanced Technology Center- Accenture

    • Varun Aggarwal, Aspring Mind

  • Closing Keynote (5 PM - 5:30 PM IST, August 22) : Google Research India 

    • Link: https://youtu.be/XGuhqsbibiQ

Update - All Lecture Links Updated! 

• Arsha Nagrani - Multimodal Architectures for Video Understanding

• Cristian Sminchisescu - End-to-end Generative 3D Human Shape and Pose Models and Active Human Sensing

• David Ha - Neuroevolution for Deep Reinforcement Learning Problems

• Ed Chi- Beyond Being Accurate: Solving Real-World Recommendation Problems with Neural Models

• Eunsol Choi - Learning to Understand Language in Context

• Fernanda Viegas - Participatory ML

• JP Vert - Differentiable ranking and sorting

• Manasi Joshi- Google ML Research:An Infrastructure Perspective

• Milind Tambe - AI for Social Impact: Learning and Planning in the Data to Deployment Pipeline

• Mitesh Khapra - Evaluating NLG Systems

• Nal Kalchbrenner - Long-range Dependencies in Deep Learning and Related Open Problems

• Neil Housby - Large Scale Visual Representation Learning

• Nithya Sambasivan - Reimagining privacy, abuse, and fairness in AI systems for India

• Rahul Sukthankar- Introduction to Deep Learning for Computer Vision

• Sarit Kraus - Intelligent Agents Supporting People in Complex Tasks

• Shakir Mohamed - Taking the Probabilistic Path in Machine Learning

• Srini Narayanan - Learning Contextual Semantics

• Toby Walsh - AI for Good:Two examples from multiagent research in allocation

• Vihan Jain - Visually Grounded Language Learning

• Vineet Gupta - Adaptive Optimization