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Continuous Latent Process Flows

Time series Modelling

Learning Discriminative Prototypes with Dynamic Time Warping

Computer Vision

Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows

Time series Modelling

Explainability I: local post-hoc explanations

Our NeurIPS 2021 Reading List

Computer Vision, Data Visualization, Graph Representation Learning, Learning And Generalization, Natural Language Processing, Optimization, Reinforcement Learning, Time series Modelling, Unsupervised Learning

Heterogeneous Multi-task Learning with Expert Diversity

Computer Vision, Natural Language Processing, Reinforcement Learning

Tutorial #9: SAT Solvers I: Introduction and applications

Optimization

The End of Anonymity Ensuring Facial Recognition is Used for Good

Our NeurIPS 2021 Accepted Papers

Tutorial #10: SAT Solvers II: Algorithms

Optimization

Is multiagent deep reinforcement learning the answer or the question? A brief survey

Aiden – Reinforcement learning for order execution

Quantitative Finance, Reinforcement Learning

Tutorial #3: few-shot learning and meta-learning II

Learning And Generalization

Tutorial #2: few-shot learning and meta-learning I

Learning And Generalization

Tutorial #17: Transformers III Training

Natural Language Processing

The (never-ending) production stage

AI as a Personal Banker

Northern Frontier: In conversation with Prof. Tamara Broderick

The Great Canadian Roadshow of 2017

Welcome to RESPECT AI

Responsible AI

Support & Maintenance … without the ‘hand over’

Designing machine learning for human users

How to conduct a Feasibility study for your Machine Learning projects

A new age of discovery: Balancing short-term value with long-term innovation

Managing data throughout the machine learning product lifecycle

How to navigate the model and product development phase of your machine learning project

Field Guide to Machine Learning Product Development: What Product Managers Need to Know