【NIPS2020】 Workshop List
整理了NIPS2020的研讨会清单
link >>> Muslims in ML
link >>> LXAI Research @ NeurIPS 2020
link >>> Indigenous in ML
link >>> Black in AI
link >>> Machine Learning for Autonomous Driving
link >>> Tackling Climate Change with ML
link >>> Competition Track Fri
link >>> Competition Track Sat
link >>> Queer in AI Workshop @ NeurIPS 2020
link >>> New In ML
link >>> Medical Imaging Meets NeurIPS
link >>> Self-Supervised Learning – Theory and Practice
link >>> Talking to Strangers: Zero-Shot Emergent Communication
link >>> Cooperative AI
link >>> 3rd Robot Learning Workshop
link >>> Human in the loop dialogue systems
link >>> Machine Learning for Molecules
link >>> Machine Learning for Systems
link >>> Self-Supervised Learning for Speech and Audio Processing
link >>> Navigating the Broader Impacts of AI Research
link >>> Offline Reinforcement Learning
link >>> Consequential Decisions in Dynamic Environments
link >>> Learning Meaningful Representations of Life (LMRL.org)
link >>> Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation
link >>> Workshop on Deep Learning and Inverse Problems
link >>> Fair AI in Finance
link >>> Differential Geometry meets Deep Learning (DiffGeo4DL)
link >>> Interpretable Inductive Biases and Physically Structured Learning
link >>> International Workshop on Scalability, Privacy, and Security in Federated Learning (SpicyFL 2020) >>>
link >>> Learning Meets Combinatorial Algorithms
link >>> Machine Learning for Health (ML4H) : Advancing Healthcare for All
link >>> Machine Learning for the Developing World (ML4D) : Improving Resilience
link >>> The pre-registration experiment: an alternative publication model for machine learning research
link >>> ML Retrospectives, Surveys & meta-Analyses (ML- RSA)
link >>> AI for Earth Sciences
link >>> Differentiable computer vision, graphics, and physics in machine learning
link >>> Meta-Learning
link >>> BabyMind: How Babies Learn and How Machines Can Imitate
link >>> Privacy Preserving Machine Learning - PriML and PPML Joint Edition
link >>> First Workshop on Quantum Tensor Networks in Machine Learning
link >>> Algorithmic Fairness through the Lens of Causality and Interpretability
link >>> Deep Learning through Information Geometry
link >>> Advances and Opportunities: Machine Learning for Education
link >>> KR2ML - Knowledge Representation and Reasoning Meets Machine Learning
link >>> Shared Visual Representations in Human and Machine Intelligence (SVRHM)
link >>> Machine Learning for Mobile Health
link >>> Machine Learning for Structural Biology
link >>> Beyond BackPropagation: Novel Ideas for Training Neural Architectures
link >>> The Challenges of Real World Reinforcement Learning
link >>> Object Representations for Learning and Reasoning
link >>> Workshop on Computer Assisted Programming (CAP)
link >>> MLPH: Machine Learning in Public Health
link >>> Wordplay: When Language Meets Games
link >>> I Can’t Believe It’s Not Better! Bridging the gap between theory and empiricism in probabilistic machine learning
link >>> Biological and Artificial Reinforcement Learning Workshop
link >>> Machine Learning for Economic Policy
link >>> Machine Learning for Engineering Modeling, Simulation and Design
link >>> Machine Learning for Creativity and Design 4.0
link >>> OPT2020: Optimization for Machine Learning
link >>> HAMLETS: Human And Model in the Loop Evaluation and Training Strategies
link >>> Second Workshop on AI for Humanitarian Assistance and Disaster Response
link >>> Resistance AI Workshop
link >>> Topological Data Analysis and Beyond
link >>> Deep Reinforcement Learning
link >>> Machine Learning and the Physical Sciences
link >>> Workshop on Dataset Curation and Security
link >>> Women in Machine Learning
link >>> ML Competitions at the Grassroots (CiML 2020)
link >>> Causal Discovery and Causality-Inspired Machine Learning
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