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Timezone: America/Vancouver
Full Schedule Mon 12/7 Tue 12/8 Wed 12/9 Thu 12/10 Fri 12/11 Sat 12/12
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Workshop
12:00 AM - 2:59 PM
31 Events in this session
Topological Data Analysis and Beyond
Bastian Rieck ⋅ Frederic Chazal ⋅ Smita Krishnaswamy ⋅ Roland Kwitt ⋅ Karthikeyan Natesan Ramamurthy ⋅ Yuhei Umeda ⋅ Guy Wolf
Privacy Preserving Machine Learning - PriML and PPML Joint Edition
Borja Balle ⋅ James Bell ⋅ Aurélien Bellet ⋅ Kamalika Chaudhuri ⋅ Adria Gascon ⋅ Antti Honkela ⋅ Antti Koskela ⋅ Casey Meehan ⋅ Olga Ohrimenko ⋅ Mi Jung Park ⋅ Mariana Raykova ⋅ Mary Anne Smart ⋅ Yu-Xiang Wang ⋅ Adrian Weller
Meta-Learning
Jane Wang ⋅ Joaquin Vanschoren ⋅ Erin Grant ⋅ Jonathan Richard Schwarz ⋅ Francesco Visin ⋅ Jeff Clune ⋅ Roberto Calandra
Tackling Climate Change with ML
David Dao ⋅ Evan Sherwin ⋅ Priya Donti ⋅ Lauren Kuntz ⋅ Lynn Kaack ⋅ Yumna Yusuf ⋅ David Rolnick ⋅ Catherine Nakalembe ⋅ Claire Monteleoni ⋅ Yoshua Bengio
OPT2020: Optimization for Machine Learning
Courtney Paquette ⋅ Mark Schmidt ⋅ Sebastian Stich ⋅ Quanquan Gu ⋅ Martin Takac
Advances and Opportunities: Machine Learning for Education
Kumar Garg ⋅ Neil Heffernan ⋅ Kayla Meyers
Differential Geometry meets Deep Learning (DiffGeo4DL)
Joey Bose ⋅ Emile Mathieu ⋅ Charline Le Lan ⋅ Ines Chami ⋅ Frederic Sala ⋅ Christopher De Sa ⋅ Maximilian Nickel ⋅ Christopher Ré ⋅ Will Hamilton
First Workshop on Quantum Tensor Networks in Machine Learning
Xiao-Yang Liu ⋅ Qibin Zhao ⋅ Jacob Biamonte ⋅ Cesar F Caiafa ⋅ Paul Pu Liang ⋅ Nadav Cohen ⋅ Stefan Leichenauer
Learning Meaningful Representations of Life (LMRL.org)
Elizabeth Wood ⋅ Debora Marks ⋅ Ray Jones ⋅ Adji Bousso Dieng ⋅ Alan Aspuru-Guzik ⋅ Anshul Kundaje ⋅ Barbara Engelhardt ⋅ Chang Liu ⋅ Edward Boyden ⋅ Kresten Lindorff-Larsen ⋅ Mor Nitzan ⋅ Smita Krishnaswamy ⋅ Wouter Boomsma ⋅ Yixin Wang ⋅ David Van Valen ⋅ Orr Ashenberg
Machine Learning for Health (ML4H): Advancing Healthcare for All
Stephanie Hyland ⋅ Allen Schmaltz ⋅ Charles Onu ⋅ Ehi Nosakhare ⋅ Emily Alsentzer ⋅ Irene Y Chen ⋅ Matthew McDermott ⋅ Subhrajit Roy ⋅ Benjamin Akera ⋅ Dani Kiyasseh ⋅ Fabian Falck ⋅ Griffin Adams ⋅ Ioana Bica ⋅ Oliver J Bear Don't Walk IV ⋅ Suproteem Sarkar ⋅ Stephen Pfohl ⋅ Andrew Beam ⋅ Brett Beaulieu-Jones ⋅ Danielle Belgrave ⋅ Tristan Naumann
Workshop on Dataset Curation and Security
Nathalie Baracaldo ⋅ Yonatan Bisk ⋅ Avrim Blum ⋅ Michael Curry ⋅ John Dickerson ⋅ Micah Goldblum ⋅ Tom Goldstein ⋅ Bo Li ⋅ Avi Schwarzschild
Human in the loop dialogue systems
Behnam Hedayatnia ⋅ Rahul Goel ⋅ Shereen Oraby ⋅ Abigail See ⋅ Chandra Khatri ⋅ Y-Lan Boureau ⋅ Alborz Geramifard ⋅ Marilyn Walker ⋅ Dilek Hakkani-Tur
The pre-registration experiment: an alternative publication model for machine learning research
Luca Bertinetto ⋅ João Henriques ⋅ Samuel Albanie ⋅ Michela Paganini ⋅ Gul Varol
Differentiable computer vision, graphics, and physics in machine learning
Krishna Murthy Jatavallabhula ⋅ Kelsey Allen ⋅ Victoria Dean ⋅ Johanna Hansen ⋅ Shuran Song ⋅ Florian Shkurti ⋅ Liam Paull ⋅ Derek Nowrouzezahrai ⋅ Josh Tenenbaum
Causal Discovery and Causality-Inspired Machine Learning
Biwei Huang ⋅ Sara Magliacane ⋅ Kun Zhang ⋅ Danielle Belgrave ⋅ Elias Bareinboim ⋅ Daniel Malinsky ⋅ Thomas Richardson ⋅ Christopher Meek ⋅ Peter Spirtes ⋅ Bernhard Schölkopf
Self-Supervised Learning for Speech and Audio Processing
Abdelrahman Mohamed ⋅ Hung-yi Lee ⋅ Shinji Watanabe ⋅ Shang-Wen Li ⋅ Tara Sainath ⋅ Karen Livescu
Machine Learning and the Physical Sciences
Anima Anandkumar ⋅ Kyle Cranmer ⋅ Shirley Ho ⋅ Mr. Prabhat ⋅ Lenka Zdeborová ⋅ Atilim Gunes Baydin ⋅ Juan Carrasquilla ⋅ Adji Bousso Dieng ⋅ Karthik Kashinath ⋅ Gilles Louppe ⋅ Brian Nord ⋅ Michela Paganini ⋅ Savannah Thais
ML Competitions at the Grassroots (CiML 2020)
Tara Chklovski ⋅ Adrienne Mendrik ⋅ Amir Banifatemi ⋅ Gustavo Stolovitzky
Resistance AI Workshop
Suzanne Kite ⋅ Mattie Tesfaldet ⋅ J Khadijah Abdurahman ⋅ William Agnew ⋅ Elliot Creager ⋅ Agata Foryciarz ⋅ Raphael Gontijo Lopes ⋅ Pratyusha Kalluri ⋅ Marie-Therese Png ⋅ Manuel Sabin ⋅ Maria Skoularidou ⋅ Ramon Vilarino ⋅ Rose Wang ⋅ Sayash Kapoor ⋅ Micah Carroll
3rd Robot Learning Workshop
Masha Itkina ⋅ Alex Bewley ⋅ Roberto Calandra ⋅ Igor Gilitschenski ⋅ Julien PEREZ ⋅ Ransalu Senanayake ⋅ Markus Wulfmeier ⋅ Vincent Vanhoucke
Workshop on Deep Learning and Inverse Problems
Reinhard Heckel ⋅ Paul Hand ⋅ Richard Baraniuk ⋅ Lenka Zdeborová ⋅ Soheil Feizi
Machine Learning for Autonomous Driving
Rowan McAllister ⋅ Xinshuo Weng ⋅ Daniel Omeiza ⋅ Nick Rhinehart ⋅ Fisher Yu ⋅ German Ros ⋅ Vladlen Koltun
Competition Track Friday
Hugo Jair Escalante ⋅ Katja Hofmann
Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation
Daria Baidakova ⋅ Fabio Casati ⋅ Alexey Drutsa ⋅ Dmitry Ustalov
Fair AI in Finance
Senthil Kumar ⋅ Cynthia Rudin ⋅ John Paisley ⋅ Isabelle Moulinier ⋅ C. Bayan Bruss ⋅ Eren K. ⋅ Susan Tibbs ⋅ Oluwatobi Olabiyi ⋅ Simona Gandrabur ⋅ Svitlana Vyetrenko ⋅ Kevin Compher
Object Representations for Learning and Reasoning
William Agnew ⋅ Rim Assouel ⋅ Michael Chang ⋅ Antonia Creswell ⋅ Eliza Kosoy ⋅ Aravind Rajeswaran ⋅ Sjoerd van Steenkiste
Deep Reinforcement Learning
Pieter Abbeel ⋅ Chelsea Finn ⋅ Joelle Pineau ⋅ David Silver ⋅ Satinder Singh ⋅ Coline Devin ⋅ Misha Laskin ⋅ Kimin Lee ⋅ Janarthanan Rajendran ⋅ Vivek Veeriah
ML Retrospectives, Surveys & Meta-Analyses (ML-RSA)
Chhavi Yadav ⋅ Prabhu Pradhan ⋅ Jesse Dodge ⋅ Mayoore Jaiswal ⋅ Peter Henderson ⋅ Abhishek Gupta ⋅ Ryan Lowe ⋅ Jessica Forde ⋅ Joelle Pineau
BabyMind: How Babies Learn and How Machines Can Imitate
Byoung-Tak Zhang ⋅ Gary Marcus ⋅ Angelo Cangelosi ⋅ Pia Knoeferle ⋅ Klaus Obermayer ⋅ David Vernon ⋅ Chen Yu
KR2ML - Knowledge Representation and Reasoning Meets Machine Learning
Veronika Thost ⋅ Kartik Talamadupula ⋅ Vivek Srikumar ⋅ Chenwei Zhang ⋅ Josh Tenenbaum
Machine Learning for Economic Policy
Stephan Zheng ⋅ Alexander Trott ⋅ Annie Liang ⋅ Jamie Morgenstern ⋅ David Parkes ⋅ Nika Haghtalab
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Workshop
4:00 PM - 3:59 PM
31 Events in this session
Algorithmic Fairness through the Lens of Causality and Interpretability
Awa Dieng ⋅ Jessica Schrouff ⋅ Matt Kusner ⋅ Golnoosh Farnadi ⋅ Fernando Diaz
Medical Imaging Meets NeurIPS
Jonas Teuwen ⋅ Qi Dou ⋅ Ben Glocker ⋅ Ipek Oguz ⋅ Aasa Feragen ⋅ Hervé Lombaert ⋅ Ender Konukoglu ⋅ Marleen de Bruijne
Learning Meets Combinatorial Algorithms
Marin Vlastelica ⋅ Jialin Song ⋅ Aaron Ferber ⋅ Brandon Amos ⋅ Georg Martius ⋅ Bistra Dilkina ⋅ Yisong Yue
Machine Learning for the Developing World (ML4D): Improving Resilience
Tejumade Afonja ⋅ Konstantin Klemmer ⋅ Niveditha Kalavakonda ⋅ Oluwafemi Azeez ⋅ Aya Salama ⋅ Paula Rodriguez Diaz
Biological and Artificial Reinforcement Learning
Raymond Chua ⋅ Feryal Behbahani ⋅ Julie J Lee ⋅ Sara Zannone ⋅ Rui Ponte Costa ⋅ Blake Richards ⋅ Ida Momennejad ⋅ Doina Precup
I Can’t Believe It’s Not Better! Bridging the gap between theory and empiricism in probabilistic machine learning
Jessica Forde ⋅ Francisco Ruiz ⋅ Melanie Fernandez Pradier ⋅ Aaron Schein ⋅ Finale Doshi-Velez ⋅ Isabel Valera ⋅ David Blei ⋅ Hanna Wallach
Machine Learning for Engineering Modeling, Simulation and Design
Alex Beatson ⋅ Priya Donti ⋅ Amira Abdel-Rahman ⋅ Stephan Hoyer ⋅ Rose Yu ⋅ J. Zico Kolter ⋅ Ryan Adams
Machine Learning for Creativity and Design 4.0
Luba Elliott ⋅ Sander Dieleman ⋅ Adam Roberts ⋅ Tom White ⋅ Daphne Ippolito ⋅ Holly Grimm ⋅ Mattie Tesfaldet ⋅ Samaneh Azadi
Cooperative AI
Thore Graepel ⋅ Dario Amodei ⋅ Vincent Conitzer ⋅ Allan Dafoe ⋅ Gillian Hadfield ⋅ Eric Horvitz ⋅ Sarit Kraus ⋅ Kate Larson ⋅ Yoram Bachrach
Machine Learning for Molecules
José Miguel Hernández-Lobato ⋅ Matt Kusner ⋅ Brooks Paige ⋅ Marwin Segler ⋅ Jennifer Wei
Navigating the Broader Impacts of AI Research
Carolyn Ashurst ⋅ Rosie Campbell ⋅ Deborah Raji ⋅ Solon Barocas ⋅ Stuart Russell
Beyond BackPropagation: Novel Ideas for Training Neural Architectures
Mateusz Malinowski ⋅ Grzegorz Swirszcz ⋅ Viorica Patraucean ⋅ Marco Gori ⋅ Yanping Huang ⋅ Sindy Löwe ⋅ Anna Choromanska
MLPH: Machine Learning in Public Health
Rumi Chunara ⋅ Abraham Flaxman ⋅ Daniel Lizotte ⋅ Chirag Patel ⋅ Laura Rosella
Wordplay: When Language Meets Games
Prithviraj Ammanabrolu ⋅ Matthew Hausknecht ⋅ Xingdi Yuan ⋅ Marc-Alexandre Côté ⋅ Adam Trischler ⋅ Kory Mathewson @korymath ⋅ John Urbanek ⋅ Jason Weston ⋅ Mark Riedl
Interpretable Inductive Biases and Physically Structured Learning
Michael Lutter ⋅ Alexander Terenin ⋅ Shirley Ho ⋅ Lei Wang
AI for Earth Sciences
Surya Karthik Mukkavilli ⋅ Johanna Hansen ⋅ Natasha Dudek ⋅ Tom Beucler ⋅ Kelly Kochanski ⋅ Mayur Mudigonda ⋅ Karthik Kashinath ⋅ Amy McGovern ⋅ Paul D Miller ⋅ Chad Frischmann ⋅ Pierre Gentine ⋅ Gregory Dudek ⋅ Aaron Courville ⋅ Daniel Kammen ⋅ Vipin Kumar
Machine Learning for Mobile Health
Joseph Futoma ⋅ Walter Dempsey ⋅ Katherine Heller ⋅ Yian Ma ⋅ Nicholas Foti ⋅ Marianne Njifon ⋅ Kelly Zhang ⋅ Jieru Shi
Talking to Strangers: Zero-Shot Emergent Communication
Marie Ossenkopf ⋅ Angelos Filos ⋅ Abhinav Gupta ⋅ Michael Noukhovitch ⋅ Angeliki Lazaridou ⋅ Jakob Foerster ⋅ Kalesha Bullard ⋅ Rahma Chaabouni ⋅ Eugene Kharitonov ⋅ Roberto Dessì
Shared Visual Representations in Human and Machine Intelligence (SVRHM)
Arturo Deza ⋅ Joshua Peterson ⋅ N Apurva Ratan Murty ⋅ Tom Griffiths
Competition Track Saturday
Hugo Jair Escalante ⋅ Katja Hofmann
Consequential Decisions in Dynamic Environments
Niki Kilbertus ⋅ Angela Zhou ⋅ Ashia Wilson ⋅ John Miller ⋅ Lily Hu ⋅ Lydia T. Liu ⋅ Nathan Kallus ⋅ Shira Mitchell
Machine Learning for Structural Biology
Raphael Townshend ⋅ Stephan Eismann ⋅ Ron Dror ⋅ Ellen Zhong ⋅ Namrata Anand ⋅ John Ingraham ⋅ Wouter Boomsma ⋅ Sergey Ovchinnikov ⋅ Roshan Rao ⋅ Per Greisen ⋅ Rachel Kolodny ⋅ Bonnie Berger
Second Workshop on AI for Humanitarian Assistance and Disaster Response
Ritwik Gupta ⋅ Robin Murphy ⋅ Eric Heim ⋅ Zhangyang Wang ⋅ Bryce Goodman ⋅ Nirav Patel ⋅ Piotr Bilinski ⋅ Edoardo Nemni
HAMLETS: Human And Model in the Loop Evaluation and Training Strategies
Divyansh Kaushik ⋅ Bhargavi Paranjape ⋅ Forough Arabshahi ⋅ Yanai Elazar ⋅ Yixin Nie ⋅ Max Bartolo ⋅ Polina Kirichenko ⋅ Pontus Lars Erik Saito Stenetorp ⋅ Mohit Bansal ⋅ Zachary Lipton ⋅ Douwe Kiela
International Workshop on Scalability, Privacy, and Security in Federated Learning (SpicyFL 2020)
Xiaolin Andy Li ⋅ Dejing Dou ⋅ Ameet Talwalkar ⋅ Hongyu Li ⋅ Jianzong Wang ⋅ Yanzhi Wang
The Challenges of Real World Reinforcement Learning
Daniel Mankowitz ⋅ Gabriel Dulac-Arnold ⋅ Shie Mannor ⋅ Omer Gottesman ⋅ Anusha Nagabandi ⋅ Doina Precup ⋅ Timothy A Mann ⋅ Gabriel Dulac-Arnold
Workshop on Computer Assisted Programming (CAP)
Augustus Odena ⋅ Charles Sutton ⋅ Nadia Polikarpova ⋅ Josh Tenenbaum ⋅ Armando Solar-Lezama ⋅ Isil Dillig
Self-Supervised Learning -- Theory and Practice
Pengtao Xie ⋅ Shanghang Zhang ⋅ Pulkit Agrawal ⋅ Ishan Misra ⋅ Cynthia Rudin ⋅ Abdelrahman Mohamed ⋅ Wenzhen Yuan ⋅ Barret Zoph ⋅ Laurens van der Maaten ⋅ Xingyi Yang ⋅ Eric Xing
Machine Learning for Systems
Anna Goldie ⋅ Azalia Mirhoseini ⋅ Jonathan Raiman ⋅ Martin Maas ⋅ Xinlei XU
Offline Reinforcement Learning
Aviral Kumar ⋅ Rishabh Agarwal ⋅ George Tucker ⋅ Lihong Li ⋅ Doina Precup ⋅ Aviral Kumar
Deep Learning through Information Geometry
Pratik Chaudhari ⋅ Alexander Alemi ⋅ Varun Jog ⋅ Dhagash Mehta ⋅ Frank Nielsen ⋅ Stefano Soatto ⋅ Greg Ver Steeg
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