Overview
Amazon is proud to be a Platinum sponsor of NeurIPS 2020, which is a virtual-only conference this year.
About NeurIPS: The Neural Information Processing Systems annual meeting fosters the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. The core focus is peer-reviewed novel research which is presented and discussed in the general session, along with invited talks by leaders in their fields.
Learn more on the official conference website.
Amazon program committee and board members
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Amazon Scholar
Advisory Board Member -
Amazon Scholar
Advisory Board Member -
Iain MurrayAmazon Scholar
Senior Area Chair -
Amazon Scholar
Senior Area Chair -
Amazon Scholar
Area Chair -
Area Chair
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Area Chair
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Area Chair
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Area Chair
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Area Chair
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Brian KulisAmazon Scholar
Area Chair -
Lihong LiArea Chair
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Area Chair
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Julian McAuleyAmazon Scholar
Area Chair -
Area Chair
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Amazon Scholar
Area Chair
Accepted publications
Workshops & Tutorials
Orals & Spotlights
Oral: Escaping the Gravitational Pull of Softmax
Spotlight: CoinDICE: Off-Policy Confidence Interval Estimation
Spotlight: BOSS: Bayesian Optimization over String Spaces
NeurIPS 2020 Expo
Expo Talk Panel: Fairness, Explainability, and Privacy in AI/ML Systems | December 6 at 10 a.m. PT
Expo Talk Panel: Challenges in the Adoption of Machine Learning in Health Care | December 6 at 11 a.m. PT
Expo Demonstration: Medical Transcription Analysis | December 6 at 4 p.m. PT
Workshops
Advances and Opportunities: Machine Learning for Education Workshop
Speaker: Candace Marie Thille
Black in AI Workshop (Amazon sponsored)
Causal Discovery & Causality-Inspired Machine Learning
Invited speaker: Dominik Janzing
Deep Reinforcement Learning Workshop
Accepted paper: FactoredRL: Leveraging factored graphs for deep reinforcement learning
Human in the Loop Dialogue Systems Workshop
Invited speaker: Gokhan Tur
Organizing committee members: Behnam Hedayatnia | Shereen Oraby | Dilek Hakkani-Tür
Program committee members: Seokhwan Kiim | Alessandra Cervone | Gagan Aneja | Yang Liu | Karthik Gopalakrishnan
Accepted Papers: Efficient evaluation of task oriented dialogue systems | Dialog simulation with realistic variations for training goal-oriented conversational systems | Large-scale hybrid approach for predicting user satisfaction with conversational agents | Interactive teaching for conversational AI
Interpretable Inductive Biases and Physically Structured Learning Workshop
Accepted Paper: Learning dynamical systems requires rethinking generalization
Indigenous in AI Workshop
Founder & Organizer: Michael Running Wolf
Knowledge Representation and Reasoning Meets Machine Learning Workshop (Amazon sponsored)
Invited speaker: Heng Ji, Amazon Scholar
Organizing committee member: Chenwei Zhang
Accepted Papers: LRTA: A transparent neural-symbolic reasoning framework with modular supervision for visual question answering | Towards good practices in self-supervised representation learning
LatinX in AI Workshop (Amazon sponsored)
Machine Learning for Molecules Workshop
Accepted paper: Improving generalizability of protein sequence models with data augmentations
Machine Learning for Systems Workshop
Accepted paper: FirePlace: Placing FireCracker virtual machines with hindsight imitation
Machine Learning in Public Health Workshop
Accepted Paper: AutoODE: Bridging physics-based and data-driven modeling for COVID-19 forecasting - *Best Paper Award winner
Meta-Learning Workshop
Speakers: Aditya Rawal | Aaron Klein | Cedric Archambeau | Matthias Seeger
Accepted papers: Bayesian optimization by density ratio estimation |Multi-objective multi-fidelity hyperparameter optimization with application to fairness | Pareto-efficient acquisition functions for cost-aware Bayesian optimization
Offline Reinforcement Learning Workshop
Organizing committee member: Lihong Li
Accepted Paper: Offline policy evaluation with new arms
Optimization for Machine Learning Workshop
Accepted Paper: Local AdaAlter: Communication-efficient stochastic gradient descent with adaptive learning rates
Preregistration 2020 Workshop
Accepted paper: Keypoints-aware object detection
Privacy Preserving Machine Learning - PRIML and PPML joint edition workshop
Accepted paper: Privacy-preserving XGBoost inference
Scalability, Privacy, and Security in Federated Learning Workshop
Accepted Paper: PAC identifiability in federated personalization
Self-Supervised Learning Workshop
Accepted Paper: Towards good practices in self-supervised representation learning
Self-Supervised Learning for Speech and Audio Processing Workshop
Invited speaker: Katrin Kirchhoff
Organizing committee member: Shang-Wen Li
Program committee members: Annie Dong | Yuzong Liu
Accepted Paper: Towards semi-supervised semantics understanding from speech
The preregistration workshop
Accepted Paper: Keypoints-aware object detection
Women in Machine Learning Workshop (Amazon sponsored)
Connect with us during NeurIPS
Amazon scientists are looking forward to meeting you during NeurIPS. If you would like to connect with one of our scientists, please contact neurips2020@amazon.com.
Are you ready for your next opportunity? Check out our open positions below. We have global opportunities available.
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November 29, 2022Using the prior model to rerank outputs of the new model increases backward compatibility.
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November 23, 2022Three questions with Sergül Aydöre, a senior applied scientist at Amazon and general chair of this year’s Women in Machine Learning workshop.
