| Machine Learning for Health (ML4H): What makes machine learning in medicine different? | Andrew Beam · Tristan Naumann · Brett Beaulieu-Jones · Madalina Fiterau · Irene Y Chen · Samuel Finlayson · Emily Alsentzer · Adrian Dalca · Matthew McDermott |
| Solving inverse problems with deep networks: New architectures, theoretical foundations, and applications | Reinhard Heckel · Paul Hand · Richard Baraniuk · Joan Bruna · Alexandros Dimakis · Deanna Needell |
| Graph Representation Learning | Will Hamilton · Rianne van den Berg · Michael Bronstein · Stefanie Jegelka · Thomas Kipf · Jure Leskovec · Renjie Liao · Yizhou Sun · Petar Veličković |
| Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy | Alina Oprea · Avigdor Gal · Eren Kurshan · Isabelle Moulinier · Jiahao Chen · Manuela Veloso · Senthil Kumar · Tanveer Faruquie |
| CiML 2019: Machine Learning Competitions for All | Adrienne Mendrik · Wei-Wei Tu · Wei-Wei Tu · Isabelle Guyon · Evelyne Viegas · Ming LI |
| Meta-Learning | Roberto Calandra · Ignasi Clavera Gilaberte · Frank Hutter · Joaquin Vanschoren · Jane Wang |
| Learning with Rich Experience: Integration of Learning Paradigms | Zhiting Hu · Andrew Wilson · Chelsea Finn · Lisa Lee · Taylor Berg-Kirkpatrick · Ruslan Salakhutdinov · Eric Xing |
| Bayesian Deep Learning | Yarin Gal · José Miguel Hernández-Lobato · Christos Louizos · Eric Nalisnick · Zoubin Ghahramani · Kevin Murphy · Max Welling |
| Workshop on Federated Learning for Data Privacy and Confidentiality | Lixin Fan · Jakub Konečný · Yang Liu · Brendan McMahan · Virginia Smith · Han Yu |
| Optimal Transport for Machine Learning | Marco Cuturi · Gabriel Peyré · Rémi Flamary · Alexandra Suvorikova |
| Shared Visual Representations in Human and Machine Intelligence | Arturo Deza · Joshua Peterson · Apurva Ratan Murty · Tom Griffiths |
| Safety and Robustness in Decision-making | Mohammad Ghavamzadeh · Shie Mannor · Yisong Yue · Marek Petrik · Yinlam Chow |
| Biological and Artificial Reinforcement Learning | Raymond Chua · Sara Zannone · Feryal Behbahani · Rui Ponte Costa · Claudia Clopath · Blake Richards · Doina Precup |
| Competition Track Day 1 | Hugo Jair Escalante |
| Workshop on Human-Centric Machine Learning | Plamen P Angelov · Nuria Oliver · Adrian Weller · Manuel Rodriguez · Isabel Valera · Silvia Chiappa · Hoda Heidari · Niki Kilbertus |
| Perception as generative reasoning: structure, causality, probability | Dan Rosenbaum · Marta Garnelo · Peter Battaglia · Kelsey Allen · Ilker Yildirim |
| Learning Meaningful Representations of Life | Elizabeth Wood · Yakir Reshef · Jonathan Bloom · Jasper Snoek · Barbara Engelhardt · Scott Linderman · Suchi Saria · Alexander Wiltschko · Casey Greene · Chang Liu · Kresten Lindorff-Larsen · Debora Marks |
| Retrospectives: A Venue for Self-Reflection in ML Research | Ryan Lowe · Yoshua Bengio · Joelle Pineau · Michela Paganini · Jessica Forde · Shagun Sodhani · Abhishek Gupta · Joel Lehman · Peter Henderson · Kanika Madan |
| Visually Grounded Interaction and Language | Florian Strub · Abhishek Das · Erik Wijmans · Harm de Vries · Stefan Lee · Alane Suhr · Dor Arad Hudson |
| Machine Learning for the Developing World (ML4D): Challenges and Risks | Maria De-Arteaga · Amanda Coston · Tejumade Afonja |
| Minding the Gap: Between Fairness and Ethics | Igor Rubinov · Risi Kondor · Jack Poulson · Manfred K. Warmuth · Emanuel Moss · Alexa Hagerty |
| Information Theory and Machine Learning | Shengjia Zhao · Jiaming Song · Yanjun Han · Kristy Choi · Pratyusha Kalluri · Ben Poole · Alexandros Dimakis · Jiantao Jiao · Tsachy Weissman · Stefano Ermon |
| MLSys: Workshop on Systems for ML | Aparna Lakshmiratan · Siddhartha Sen · Joseph Gonzalez · Dan Crankshaw · Sarah Bird |
| EMC2: Energy Efficient Machine Learning and Cognitive Computing (5th edition) | Raj Parihar · Raj Parihar · Michael Goldfarb · Michael Goldfarb · Satyam Srivastava · TAO SHENG |
| KR2ML - Knowledge Representation and Reasoning Meets Machine Learning | Veronika Thost · Christian Muise · Kartik Talamadupula · Sameer Singh · Christopher Ré |
| AI for Humanitarian Assistance and Disaster Response | Ritwik Gupta · Robin Murphy · Trevor Darrell · Eric Heim · Zhangyang Wang · Bryce Goodman · Piotr Biliński |
| Beyond first order methods in machine learning systems | Anastasios Kyrillidis · Albert Berahas · Fred Roosta · Michael W Mahoney |
| The third Conversational AI workshop – today's practice and tomorrow's potential | Alborz Geramifard · Jason Williams · Bill Byrne · Asli Celikyilmaz · Milica Gasic · Dilek Hakkani-Tur · Matt Henderson · Luis Lastras · Mari Ostendorf |
| Deep Reinforcement Learning | Pieter Abbeel · Chelsea Finn · Joelle Pineau · David Silver · Satinder Singh · Joshua Achiam · Carlos Florensa · Christopher Grimm · Haoran Tang · Vivek Veeriah |
| Real Neurons & Hidden Units: future directions at the intersection of neuroscience and AI | Guillaume Lajoie · Eli Shlizerman · Maximilian Puelma Touzel · Jessica Thompson · Konrad Kording |
| Context and Compositionality in Biological and Artificial Neural Systems | Javier Turek · Shailee Jain · Alexander Huth · Leila Wehbe · Emma Strubell · Alan Yuille · Tal Linzen · Christopher Honey · Kyunghyun Cho |
| Emergent Communication: Towards Natural Language | Abhinav Gupta · Michael Noukhovitch · Cinjon Resnick · Natasha Jaques · Angelos Filos · Marie Ossenkopf · Angeliki Lazaridou · Jakob Foerster · Ryan Lowe · Douwe Kiela · Kyunghyun Cho |
| Learning Transferable Skills | Marwan Mattar · Arthur Juliani · Danny Lange · Matthew Crosby · Benjamin Beyret |
| Bridging Game Theory and Deep Learning | Ioannis Mitliagkas · Gauthier Gidel · Niao He · Reyhane Askari Hemmat · Nika Haghtalab · N H · Simon Lacoste-Julien |
| Program Transformations for ML | Pascal Lamblin · Atilim Gunes Baydin · Alexander Wiltschko · Bart van Merriënboer · Emily Fertig · Barak Pearlmutter · David Duvenaud · Laurent Hascoet |
| ML For Systems | Milad Hashemi · Azalia Mirhoseini · Anna Goldie · Kevin Swersky · Jonathan Raiman · Xinlei XU · Jonathan Raiman |
| NeurIPS Workshop on Machine Learning for Creativity and Design 3.0 | Luba Elliott · Sander Dieleman · Adam Roberts · Jesse Engel · Tom White · Rebecca Fiebrink · Parag Mital · Christine Payne · Nao Tokui |
| Joint Workshop on AI for Social Good | Fei Fang · Joseph Bullock · Marc-Antoine Dilhac · Brian Green · natalie saltiel · Dhaval Adjodah · Jack Clark · Sean McGregor · Margaux Luck · Jonathan Penn · Tristan Sylvain · Geneviève Boucher · Sydney Swaine-Simon · Girmaw Abebe Tadesse · Myriam Côté · Anna Bethke · Yoshua Bengio |
| Machine Learning and the Physical Sciences | Atilim Gunes Baydin · Juan Carrasquilla · Shirley Ho · Karthik Kashinath · Michela Paganini · Savannah Thais · Anima Anandkumar · Kyle Cranmer · Roger Melko · Mr. Prabhat · Frank Wood |
| Learning with Temporal Point Processes | Manuel Rodriguez · Le Song · Isabel Valera · Yan Liu · Abir De · Hongyuan Zha |
| Machine Learning for Autonomous Driving | Rowan McAllister · Nicholas Rhinehart · Fisher Yu · Li Erran Li · Anca Dragan |
| Machine Learning with Guarantees | Ben London · Gintare Karolina Dziugaite · Daniel Roy · Thorsten Joachims · Aleksander Madry · John Shawe-Taylor |
| Document Intelligence | Nigel Duffy · Rama Akkiraju · Tania Bedrax Weiss · Paul Bennett · Hamid Reza Motahari-Nezhad |
| Medical Imaging meets NeurIPS | Hervé Lombaert · Ben Glocker · Ender Konukoglu · Marleen de Bruijne · Aasa Feragen · Ipek Oguz · Jonas Teuwen |
| Competition Track Day 2 | Hugo Jair Escalante |
| Tackling Climate Change with ML | David Rolnick · Priya Donti · Lynn Kaack · Alexandre Lacoste · Tegan Maharaj · Andrew Ng · John Platt · Jennifer Chayes · Yoshua Bengio |
| Robot Learning: Control and Interaction in the Real World | Markus Wulfmeier · Roberto Calandra · Kate Rakelly · Sanket Sayaji Kamthe · Danica Kragic · Stefan Schaal · Markus Wulfmeier |
| Science meets Engineering of Deep Learning | Levent Sagun · Caglar Gulcehre · Adriana Romero · Negar Rostamzadeh · Nando de Freitas |
| The Optimization Foundations of Reinforcement Learning | Bo Dai · Niao He · Nicolas Le Roux · Lihong Li · Dale Schuurmans · Martha White |
| “Do the right thing”: machine learning and causal inference for improved decision making | Michele Santacatterina · Thorsten Joachims · Nathan Kallus · Adith Swaminathan · David Sontag · Angela Zhou |
| Privacy in Machine Learning (PriML) | Borja Balle · Kamalika Chaudhuri · Antti Honkela · Antti Koskela · Casey Meehan · Mi Jung Park · Mary Anne Smart · Mary Anne Smart · Adrian Weller |
| Sets and Partitions | Nicholas Monath · Manzil Zaheer · Andrew McCallum · Ari Kobren · Junier Oliva · Barnabas Poczos · Ruslan Salakhutdinov |
| Fair ML in Healthcare | Shalmali Joshi · Irene Y Chen · Ziad Obermeyer · Sendhil Mullainatha |