Artificial Intelligence Seminars

From Recognition to Reasoning

Joint Models for Social, Behavioral and Textual Information

Toward Human-Like AI: Cognitive Architecture, Common Model of Cognition & Interactive Task Learning

Friends Don’t Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine Learning for HealthCare

Computational exercises of creative language

Game Playing Meets Game Theory: Strategic Learning from Simulated Play

Efficient Algorithms for Learning Combinatorial Structures from Limited Data

Why Do Neural Networks Learn?

Learning Hierarchical Control Programs

Bridging Data, Design, and Domain Knowledge to Build Human-Centered Systems that Support Wellbeing

The Role of Context in Natural Language Processing

Towards Human-Level Recognition via Contextual, Dynamic, and Predictive Representations

Efficient Training and Inference in Deep Learning

Understanding and Improving Deep Neural Networks

Towards Generalization and Efficiency in Reinforcement Learning

Rethinking the relationship between data and robotics

Image Synthesis for Self-Supervised Visual Representation Learning

Computational Modeling in Human-Computer Interaction

Information Extraction from Online Text — from Opinions to Arguments to Persuasion

Teachable Cognitive Systems

Is Robust ML Really Robust?

Towards Open-domain Generation of Programs from Natural Language

Building Domain-Specific Knowledge with Human in the Loop

Learning-Driven Algorithms for Discrete Optimization

Supporting Interactions in Online Groups. A new Challenge for AI.