Artificial Intelligence Seminars

MSLD | Midwest Speech & Language Days

MSLD | Midwest Speech & Language Days

Leveraging Formal Methods for Trustworthy AI-assisted Software Development

On Building General-Purpose Home Robots

Towards a Science of Human-AI Decision Making: Empirical Understandings, Computational Models, and Intervention Designs

From Autonomy to Synergy: Envisioning Next Generation Human-AI Partnerships

Realizing AI for Impact: Uncertainty and Human-Agent Collaboration in Multi-Agent Systems for Public Health and Conservation

Strategic Reasoning in Machine Learning, with Implications for Security and Fairness

Code Representation Learning at Scale

Data-driven Solutions for Blood Glucose Management

Bridging AI, Data, and Epidemiological Models

Automatically Capturing and Reflecting Latent Label Dependencies in Machine Learning Models

Human-Centered Artificial Intelligence at Howard University

Interaction Design Challenges for AI in Medicine

Learning Syntactic Structures from Visually Grounded Text and Speech

Imaginative Vision Language Models

Recent Advancements in Quantization, Pruning and Knowledge Distillation

Task Planning with Large Language Models

Answering Why Questions about Narrative Text

Learning to Re-create Reality in 3D

Postcards from the Future

From NLP to socially and personally contextualized understanding | Modeling empathy in NLP for Support-Oriented Interactions

Measuring and Improving the Internal Conceptual Representations of Deep Learning

Effective and Efficient Knowledge-Intensive NLP

Preparing for Your Industrial Job Search

Exploiting Domain Knowledge and Modular Semantics in Deep Learning for Natural Language Comprehension and Grounding

A Defense of (Empirical) Neural Tangent Kernels

Systematic Study of 75K Models on Hugging Face

Confounding-Robust Policy Learning under Sequentially Exogenous Unobserved Confounders

AI Seminar: Cynthia Rudin – Understanding How Dimension Reduction Tools Work

Snigdha Chaturvedi: Modeling People in Story Generation

AI Seminar: Stella Yu – Unsupervised Data-Driven Learning of Visual Hierarchy

AI Seminar: Iryna Gurevych – Comment – Link – Revise: Towards a General Framework for Modelling Interconnected Texts

AI Seminar: David Jurgens – Does chocolate really cure cancer? Modeling Information Change in Science Communication

AI Seminar: Con Slobodchikoff – Decoding Animal Languages: Possibilities and Challenges

AI Seminar: Benjamin Kuipers – AI, Ethics, Trust, Cooperation & Society

AI Seminar: Rada Mihalcea – The Ups and Downs of Word Embeddings

Bringing Ethics and Justice into CS Courses: The Social and Political Factors at Play in Entry-Level CS Concepts

Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

Algorithmic Gaussianization in Machine Learning

Defining cellular identity from single-cell genomic data with machine learning

Expanding the frontiers of AI – Applications in Environmental Conservation and Health

Neural Architecture

Approaches to Grounded Language Acquisition from Human Interaction

Inference and the “Racial Drama” of AI

Knowledge-enhanced Text Generation: The Curious Case of Figurative Language and Argumentation

The facebook files at training time: incentivizing discrimination in machine learning

Continual Language Learning through Collaborative Interaction with Users

Machine Learning and Causality: Building Efficient, Reliable Models for Decision-Making

Empathy in peer-to-peer mental health support

Toward Broad and Deep Language Processing for Intelligent Systems

Jitendra Malik | Where Do We Come From, What Are We Doing, Where Are We Going

Danielle Belgrave | ML for Personalized Mental Healthcare

Pascale Fung | Deeper Conversational AI

Semantic Scholar, NLP, and the Fight Against COVID-19

Learning sight from sound

Efficient Belief Propagation for Perception and Manipulation in Clutter

Distortion-based Analysis of Voting: Limited Communication, and an Analysis Framework based on LP Duality and Flows

NumPy: A look at the past, present, and future of array computation

Language Grounding in Situated Communication

Software Engineering Intelligence

Applications of AI for Accessibility

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.

How Do We Make Ethical Robots?

The Search for Emotions, Creativity, and Fairness in Language

The Use of Emotion Flows in the Analysis of Creative Writing

Dialogue-based Deception Detection

The Physics Behind Automating Content Authoring

Visual Computational Sociology: Methods and Challenges

Major Challenges of Using AI in Healthcare, and Some Potential Solutions

Situated Language Processing Towards Interactive Task Learning

Inferring and Summarizing Multi-source Graph Data && Learning Actionable & Credible Risk Stratification Models for Healthcare

Words and People

Hybrid Intelligence Crowdsourcing for Robust Interactive Intelligent Systems

Machine Reading of Natural Language and Interactive Visualization

Robots and Ethics

Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents && Semantic Robot Programming

Everyday Activity Science and Engineering (EASE)

Teaching Computers to See and Think

Deep Reinforcement Learning for Sequential Decision Making Tasks with Natural Language Interaction

Towards Joint Understanding of Images and Language

Libratus: Beating Top Humans in No-Limit Poker

Dissecting Driver Behaviors Under Cognitive, Emotional, Sensorimotor, and Mixed Stressors

Self-Supervised Visual Learning and Synthesis

Procedural Language and Knowledge

Learning representations of large-scale networks

Language Use in Written Dialog: Beliefs, Gender, Social Networks, and Power

Interactive Sports Analytics: Going Beyond Spreadsheets

Statistical and Algorithmic Tools to Aid Recovery in Flint

Biometric template protection and biometric privacy (first half) + Brief introduction to other ML research projects (second half)

Toyota AI Seminar – Amanda Stent

Sampling Based Motion Planning with Reachable Volumes

Robots That (Provide) Care

Whats in a Game? An Intelligent and Adaptive Approach to Security

Evaluation Algorithms for Extractive Summaries

The Future is on Your Wrist: Challenges and Opportunities of Wearable Technologies

Visual Question Answering (VQA)

Toward Learning by Reading using a New Semantics that Merges Propositional and Distributional Information

Combating Adversaries under Uncertainties in Real-world Security Problems: Advanced Game-theoretic Behavioral Models and Robust Algorithms

Towards A Sequential Decision Model of Interaction with Computer Systems

Toward Learning by Reading using a New Semantics that Merges Propositional and Distributional Information

Building Vision Systems with Modern Machine Learning

Understanding Behavior through First Person Vision

Following Natural Language Instructions in Unknown Environments

Segmenting and Labeling On-Body Sensor Data Streams with CRFs and Factor Graphs

Evidence-Based Optimization

Explorations in Computational Rationality: Explaining Human Behavior via Bounded Utility Maximization

Can Robots Behave Well as Members of Society? & Natural Language Processing for Collective Discourse

Increasing the Utility of Machine Learning in Clinical Care & On the Equivalence of Simulated Annealing & Interior Point Path Following for Optimization

The Dependence of Effective Planning Horizon on Model Accuracy

Interactive Task Learning & Exploring and Understanding Large, Static and Dynamic Graphs

Using Motion to Understand Objects in the Real World

Human-Centered Computing: Using Speech to Understand Behavior & Crowd-Powered Interactive Systems

Human-Centered Language Processing and Extended Ambient Intelligence at IHMC

Towards Encyclopedic Visual Understanding & Improved Perception of People and Scenes for Robots

Convex Methods for Latent Representation Learning

Learning Intelligent Assistants for Understanding Behavior

Learning Better Clinical Risk Models

Search-based Software Refactoring: Towards Semantics Preservation

Online Mapping and Perception Algorithms for Multi-robot Teams Operating in Urban Environments

Learning and Searching Methods for Robust, Real-Time Visual Odometry

Generalizing Inverse Reinforcement Learning for the Real World

Practical Natural Language Processing for Minority Languages

NLP Driven Models for Automatically Generating Survey Articles for Scientific Topics

Low-Rank Spectral Learning for Predictive State Representations

Set-Valued Dynamic Treatment Regimes for Competing Outcomes

On Hold: How Waiting For an Answer Affects the Choice of Question
and
Interactive Task Learning

Human-Centered Computing: Using Speech to Understand Behavior
and
Academic Matchmaking: Pairing Faculty with Graduate Student Applicants

Semantic World Knowledge for NLP

On Networks and Behavior: Strategic Inference and Machine Learning

Deep Learning with UCT-Data for Real-Time Atari Game Play and Advances in Multimodal Deep Representation Learning

Keyphrase Extraction in Citation Networks: How Do Citation Contexts Help?

The Vision-Language Interface in Machines and Humans

Googles Self-Driving Car

Implications of Algorithmic and High-Frequency Trading and From Perception to Cognition: Towards Knowledge Driven Image Understanding

Human-Centered Principles and Methods for Designing Robotic Technologies

Why Label When You Can Compare? Active Constraint Pursuit in Metric Learning and Clustering

Data-Driven Patient Risk Stratification: Leveraging Data Across Time and Space to Enhance Local Care

Learning to Learn In Reinforcement Learning

Robots, Skills, and Symbols

Learning Large-Scale Patterns in Complex Networks

Smartphone-enabled Urban Solutions: Mobility On Demand and Mobility On Sale

Cortical prediction markets

Mediating Perception and Action towards Situated Human-Robot Dialogue

Low-Rank Spectral Learning

Online Learning for Advertising

Understanding Incentives in Social Computing

Public Universities with Billion Dollar Endowments? Challenges and Opportunities in the Acquisition of Open-Domain Fine-Grained Classes from the Web

Constructing Space: How a naive agent can learn spatial relationships by observing sensorimotor contingencies

Beyond Topic: Multi-dimensional Topic Models of Text

Unknowing More The Downside of Information in Multi-Agent Systems

Mind and Data: Learning to Predict Long-term Consequences Efficiently

Medication Adherence Improvement as a Bandit Problem

Using Temporal Constraint Reasoning to Improve Self-Management Decision Making

Multilingual Opinion Analysis

Learning Narrative Structure: Algorithms & Data

Obtaining statistics from selfish agents

Modeling of Driver Behavior in Real World Scenarios Using Multiple Noninvasive Sensors

New Directions in Representation Learning

Subspace Estimation and Tracking when Data are Missing and Corrupted

Efficient Optimal Learning for Contextual Bandits

Understanding the Implications of Algorithmic and High-Frequency Trading

Cortical Brain Machine Interfaces for the Treatment of Paralysis

Reinforcement Learning: Back to the Brain

Intelligent Narrative Generation: Creativity, Engagement, and Cognition

Scaling Up Object Recognition: What Have We Done? And Where Are We Going?

Medical Decision Making of Chronic Disease Patients

Laplacian Low-Rank Correction: A Generalizable Approach to Incorporating Manifold Regularization Across Applications

Commitments and Responsibilities in Multiagent Systems

Max mixtures: from reliable mapping to camera calibration

Learning Invariant and Robust Representations

Emotions in Engineering: Methods for the Interpretation of Ambiguous Emotional Content

Learning Language from its Perceptual Context

Strategic Reasoning about Network Formation Scenarios

Collaborative Robot Tracking of Geophysical Flows: How Local Measurements Discover Global Structures

How should a robot perceive the world?

Determinantal Point Processes: Representation, Inference, and Learning

New AI student orientation

Explicit Semantic Analysis: Wikipedia-based Semantics for Natural Language Processing

Towards a Graphical Cognitive Architecture for Virtual Humans (and Intelligent Agents/Robots)

From Contextual Search to Automatic Content Generation: Scaling Human Editorial Judgment

Energy-Aware Flight Planning for Unattended Unmanned Seaplane Operation

Perspective on Link Prediction

Developing novel methods of communication for individuals with severe disabilities using patterns of physiological signals

Efficient Learning of Sparse Distributed Feature Representations

Spectral Approaches to Learning Dynamical Systems

Price Predicting Trading Strategies for Simultaneous One-Shot Auctions

Semantic Mapping with Mobile Robots

Selective Communication to Reduce Uncertainty in Multiagent Coordination

Toyota AI Seminar Orientation

Toyota AI Seminar: Generating and Exploiting 3D Laser Data for Mobile Robotics

Toyota AI Seminar: Sharks attack humans, but most sharks don't attack humans: Learning to express generalizations in language

Toyota AI seminar: Temporal Pattern Recognition in the ICU

Toyota AI Seminar: Sharks attack humans, but most sharks dont attack humans: Learning to express generalizations in language

Toyota AI Seminar: Classifying the Political Leaning of News Articles and Users From User Votes

Toyota AI Seminar: Efficient Implementation of and Inference in Probabilistic Programming Languages

Toyota AI Seminar: The Optimal Reward Problem

Toyota AI Seminar: Mapping in the MAGIC 2010 robotics competition

Progress on Empirical Game-Theoretic Analysis

Toyota AI Seminar: Don’t Ask, Don’t Tell: Strategies for Modeling Agents in Cooperative Multiagent Systems

Toyota AI Seminar: Computational Biomarkers to Predict Death Following Coronary Attacks

Toyota AI Seminar: The Soar Cognitive Architecture

Causal Inference: Mathematical Foundations and Methodological Principles

Toyota AI Seminar: Unsupervised Feature Learning via Sparse Hierarchical Representations

Toyota AI Seminar: AI Faculty Panel Discussion

Toyota AI Seminar: All Learning Is Robust

Toyota AI Seminar: How To Make A Robot That Feels

Zoetrope & Ziggurat: Enhancing Interactions with the Dynamic Web

How Optimized Environmental Sensing Helps Address Information Overload on the Web

The Potential of Social Identity for Equilibrium Selection

How can a robot learn the foundations of knowledge?

Probabilistic approach to high order assignment problems (joint systems/AI seminar)

Designing an environment to create mobile music instrument

Using Virtual Reality to Investigate Comparative Spatial Cognitive Abilities of Chimpanzees and Humans

Planning Games: a Study of Planning and Strategic Collaboration

Desires & Diversions (video)

Quantifying Approximate Strategyproofness

Rethinking Rewards in Reinforcement Learning

Decentralized decision making with spatially distributed data

Towards Contextual Text Mining

The 2010 MAGIC Robotics Competition

Computational Methods for Physiological Data

Making Database Systems Easier to Use

Open-Source Flight Management and Its Application to the Flying Fish UAS

Data Mining Methods for Graph Discovery in Neuroinformatics

Modeling Dynamical Systems with Structured Predictive State Representations

Efficiently Learning to Behave Efficiently

The Adaptive Control of Action and Thought: Boundedly Rational Behavior Under Cognitive Constraint

Visual recognition and reconstruction in the three-dimensional world

Finding Preferable Choices in Constrained and Multiagent Contexts

Evaluation of Human-level Intelligence

Learning Nonparametric Kernel Matrices from Pairwise Constraints

Sid Meier: AI seminar on AI and Games

Toyota AI Seminar | The RoboCup Standard Platform League: Challenges and Opportunities

Toyota AI Seminar | Place Recognition from Perceptually Ambiguous Data

Graphical Multiagent Models

BoostCluster: Boosting Clustering by Pairwise Constraints

Reinventing Partially Observable Reinforcement Learning

Semantic Matchmaking with Expressive Preference Representation

Multi-Robot Intelligence

Is Cognitive Science the Right Method for AI?

Mechanism Design and Analysis Using Simulation-Based Game Models

Finding Patterns in Large Networks

Toyota AI Lab Seminar

Machine Learning and Multiagent Systems: From robot soccer to autonomous traffic

State Estimation and Control in Multi-Agent Decision and Control Systems

Name-that-Tune and other Naming Problems in Music Information

Name-that-Tune and other Naming Problems in Music Information

Some Challenges in Planning for Time-Constrained, Dynamic, Multi-Agent, Stochastic Task Environments

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Toyota AI Seminar – Title to be announced

Toyota AI Seminar

Declarative Querying for Biomedical Applications

Probabilistic Robotics with Applications To Navigation

An Exploratory Model of Language Acquisition and Evolution

A Strategic Model for Information Markets

TOSCA: A new biologically-inspired cognitive architecture

Nonparametric Anomaly Prediction and Discovery

Graduate Student Presentations

Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition **

Autonomy Augmentation to improve

Resource Allocation with MDP-Induced Preferences

Practical Issues in Mechanism Design

Unifying Cognitive Processing, Appraisal and Emotion

Controlled Predictive State Models for Dynamical Systems with Continuous Observations

Using Empirical Game Theory to Analyze Four-Player Chaturanga

On Mediating Policies

Incorporating Mental Imagery into a Cognitive Architecture

Investigating a Multi-Device Framework for Collaborative Inquiry Learning

Kernel Predictive Linear Gaussian Models for Nonlinear Stochastic Dynamical Systems

The Binaural Display of Reverberant Space using MIMO State-Space Systems

Interactive Hatching and Stippling by Example

Rethinking State, Action, and Reward in Reinforcement Learning

Reasoning about Rationality and Beliefs

Reflections on Virtual Acoustics – Pun Intended

Games, Planning, Categorial Grammars, and Control of Discrete Event Systems

Agent-Based Systems for Coordinating Activities

Dual Photography

Kernel-Based Tracking of Geometric Templates

An Agent-Based Model of Language Acquisition and Evolution

Computational and Empirical Explorations of Fast, Complex Cognition: Interactive Skill, Language Processing, and Humor Perception

The Cognitive Architecture Approach to AI Research

Empirical Game-Theoretic Analysis for Practical Strategic Reasoning

AI Seminar

A Geometric Perspective on Machine Learning

Adding Preferences to Temporal Constraint Satisfaction Problems

The Making of Madden

Scalable Ubiquitous Computing Systemss

Evolving the Science of Data Mining: Challenges, Applications, and Future

Evolving the Science of Data Mining: Challenges, Applications, and Future

Animation by Example