This week marks the beginning of the 34th annual Conference on Neural Information Processing Systems (NeurIPS 2020), the biggest machine learning conference of the year. Held virtually for the first time, this conference includes invited talks, demonstrations and presentations of some of the latest in machine learning research. As a Platinum Sponsor of NeurIPS 2020, Google will have a strong presence with more than 180 accepted papers, additionally contributing to and learning from the broader academic research community via talks, posters, workshops and tutorials.
If you are registered for NeurIPS 2020, we hope you’ll visit our virtual booth and chat with our researchers about the projects and opportunities at Google that go into solving the world's most challenging research problems, and to see demonstrations of some of the exciting research we pursue, such as Transformers for image recognition, Tone Transfer, large-scale distributed RL, recreating historical streetscapes and much more. You can also learn more about our work being presented in the list below (Google affiliations highlighted in blue).
Tutorials Designing Learning Dynamics Organizers: Marta Garnelo, David Balduzzi, Wojciech Czarnecki Where Neuroscience meets AI (And What’s in Store for the Future) Organizers: Jane Wang, Kevin Miller, Adam Marblestone Offline Reinforcement Learning: From Algorithm Design to Practical Applications Organizers: Sergey Levine, Aviral Kumar Practical Uncertainty Estimation and Out-of-Distribution Robustness in Deep Learning Organizers: Dustin Tran, Balaji Lakshminarayanan, Jasper Snoek Abstraction & Reasoning in AI systems: Modern Perspectives Organizers: Francois Chollet, Melanie Mitchell, Christian Szegedy Policy Optimization in Reinforcement Learning Organizers: Sham M Kakade, Martha White, Nicolas Le Roux Federated Learning and Analytics: Industry Meets Academia Organizers: Brendan McMahan, Virginia Smith, Peter Kairouz Deep Implicit Layers: Neural ODEs, Equilibrium Models, and Differentiable Optimization Organizers: David Duvenaud, J. Zico Kolter, Matthew Johnson Beyond Accuracy: Grounding Evaluation Metrics for Human-Machine Learning Systems Organizers: Praveen Chandar, Fernando Diaz, Brian St. ThomasWorkshops Black in AI Workshop @ NeurIPS 2020 (Diamond Sponsor)Mentorship Roundtables: Natasha Jacques
LatinX in AI Workshop @ NeurIPS 2020 (Platinum Sponsor)Organizers include: Pablo Samuel CastroInvited Speaker: Fernanda ViégasMentorship Roundtables: Tomas Izo
Queer in AI Workshop @ NeurIPS 2020 (Platinum Sponsor) Organizers include: Raphael Gontijo LopesWomen in Machine Learning (Platinum Sponsor)Organizers include: Xinyi Chen, Jessica SchrouffInvited Speaker: Fernanda ViégasSponsor Talk: Jessica SchrouffMentorship Roundtables: Hanie Sedghi, Marc Bellemare, Katherine Heller, Rianne van den Berg, Natalie Schluter, Colin Raffel, Azalia Mirhoseini, Emily Denton, Jesse Engel, Anusha Ramesh, Matt Johnson, Jeff Dean, Laurent Dinh, Samy Bengio, Yasaman Bahri, Corinna Cortes, Nicolas le Roux, Hugo Larochelle, Sergio Guadarrama, Natasha Jaques, Pablo Samuel Castro, Elaine Le, Cory Silvear
Muslims in ML Organizers include: Mohammad Norouzi Resistance AI Workshop Organizers include: Elliot Creager, Raphael Gontijo Lopes Privacy Preserving Machine Learning — PriML and PPML Joint Edition Organizers include: Adria Gascon, Mariana Raykova OPT2020: Optimization for Machine Learning Organizers include: Courtney Paquette Machine Learning for Health (ML4H): Advancing Healthcare for All Organizers include: Subhrajit Roy Human in the Loop Dialogue SystemsOrganizers include: Rahul GoelInvited Speaker: Ankur Parikh
Self-Supervised Learning for Speech and Audio Processing Organizers include: Tara SainathInvited Speaker: Bhuvana Ramabhadran
3rd Robot Learning Workshop Organizers include: Alex Bewley, Vincent VanhouckeInvited Speaker: Pete Florence Workshop on Deep Learning and Inverse Problems Invited Speaker: Peyman Milanfar Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation Invited Speakers: Lora Aroyo, Praveen Paritosh Workshop on Fair AI in Finance Invited Speakers: Berk Ustun, Madeleine Clare Elish Object Representations for Learning and Reasoning Panel Moderator: Klaus Greff Deep Reinforcement Learning Organizers include: Chelsea FinnInvited Speaker: Marc Bellemare Algorithmic Fairness Through the Lens of Causality and Interpretability Organizers include: Awa Dieng, Jessica Schrouff, Fernando Diaz Machine Learning for the Developing World (ML4D) Steering Committee Member: Ernest Mwebaze Machine Learning for Engineering Modeling, Simulation and Design Organizers include: Stephan Hoyer Machine Learning for Creativity and Design Organizers include: Adam Roberts, Daphne Ippolito Invited Speaker: Jesse Engel Cooperative AI Invited Speaker: Natasha Jaques International Workshop on Scalability, Privacy, and Security in Federated Learning (SpicyFL 2020) Invited Speaker: Brendan McMahan Machine Learning for Molecules Organizers include: Jennifer WeiInvited Speaker: Benjamin Sanchez-Lengeling Navigating the Broader Impacts of AI Research Panelists include: Nyalleng Moorosi, Colin Raffel, Natalie Schluter, Ben Zevenbergen Beyond BackPropagation: Novel Ideas for Training Neural Architectures Organizers include: Yanping Huang Differentiable Computer Vision, Graphics, and Physics in Machine Learning Invited Speaker: Andrea Tagliasacchi AI for Earth Sciences Invited Speaker: Milind Tambe Machine Learning for Mobile Health Organizers include: Katherine Heller, Marianne Njifon Shared Visual Representations in Human and Machine Intelligence (SVRHM) Invited Speaker: Gamaleldin Elsayed The Challenges of Real World Reinforcement Learning Organizers include: Gabriel Dulac-ArnoldInvited Speaker: Chelsea Finn Workshop on Computer Assisted Programming (CAP) Organizers include: Charles Sutton, Augustus Odena Self-Supervised Learning — Theory and Practice Organizers include: Barret ZophInvited Speaker: Quoc V. Le Offline Reinforcement Learning Organizers include: Rishabh Agarwal, George Tucker Machine Learning for Systems Organizers include: Anna Goldie, Azalia Mirhoseini, Martin Maas Invited Speaker: Ed Chi Deep Learning Through Information Geometry Organizers include: Alexander Alemi
Expo Drifting Efficiently Through the Stratosphere Using Deep Reinforcement Learning Organizers include: Sal Candido Accelerating Eye Movement Research via Smartphone Gaze Organizers include: Vidhya Navalpakkam Mining and Learning with Graphs at Scale Organizers include: Bryan Perozzi, Vahab Mirrokni, Jonathan Halcrow, Jakub Lacki *Work performed while at Google
