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Artificial Intelligence Seminars

Events for 2023

Natural Language Processing Seminar

Snigdha Chaturvedi: Modeling People in Story Generation

Snigdha Chaturvedi, Assistant Professor, Department of Computer Science, University of North Carolina, Chapel Hill

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

Cynthia Rudin, Professor, Computer Science and Engineering, Duke University

AI Seminar | Women in Computing

Confounding-Robust Policy Learning under Sequentially Exogenous Unobserved Confounders

Angela Zhou, Assistant Professor, Data Sciences and Operations, University of Southern California

Natural Language Processing Seminar | Women in Computing

Systematic Study of 75K Models on Hugging Face

Nazneen Fatema Rajani, Research Lead, Hugging Face

A Defense of (Empirical) Neural Tangent Kernels

Danica Sutherland, Assistant Professor, University of British Columbia

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

Parisa Kordjamshidi, Assistant Professor, Michigan State University

Preparing for Your Industrial Job Search

Lei Li, Director of Digital Innovation in P&G’s Feminine Care Business

Pete Ellingson, R&D Director and Open Innovation Manager in P&G’s Corporate R&D function

Hua Hu, Director, Principal Scientist in P&G’s Fabric and Home Care R&D focusing on M&S and DI to design devices, equipment, and processes across FHC

Effective and Efficient Knowledge-Intensive NLP

Meng Jiang, Associate Professor of Computer Science and Engineering, University of Notre Dame

Measuring and Improving the Internal Conceptual Representations of Deep Learning

Ramakrishna Vedantam, Independent Researcher, New York University

Natural Language Processing Seminar

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

Lucie Flek , Computer Science Professor ,
University of Bonn

Allison Lahnala, Visiting Scholar in SBU CS, HLAB,
University of Bonn

Postcards from the Future

Kurt Skifstad, Director of the Center for Entrepreneurship , University of Michigan

Learning to Re-create Reality in 3D

Jeong Joon Park, Assistant Professor, Computer Science and Engineering, University of Michigan

Answering Why Questions about Narrative Text

Raymond J. Mooney, Professor of Computer Science, University of Texas at Austin

Task Planning with Large Language Models

Lajanugen Logeswaran, Research Scientist, LG AI Research

Recent Advancements in Quantization, Pruning and Knowledge Distillation

Gaowen Liu, Research Scientist, Cisco Systems

Computer Vision Seminar

Imaginative Vision Language Models

Mohamed Elhoseiny, Assistant Professor of Computer Science, KAUST

Learning Syntactic Structures from Visually Grounded Text and Speech

Freda Shi, Incoming Assistant Professor, David R. Cheriton School of Computer Science, University of Waterloo

Interaction Design Challenges for AI in Medicine

Maia Jacobs, Assistant Professor, Computer Science, Northwestern University

Human-Centered Artificial Intelligence at Howard University

Gloria Washington, Associate Professor, Computer Science, Howard University

Automatically Capturing and Reflecting Latent Label Dependencies in Machine Learning Models

Jay-Yoon Lee, Assistant Professor, Graduate School of Data Science, Seoul National University

Bridging AI, Data, and Epidemiological Models

Alexander Rodríguez, Assistant Professor, Computer Science and Engineering, University of Michigan

AI Seminar | Dissertation Defense

Data-driven Solutions for Blood Glucose Management

Harry Rubin-Falcone, PhD Candidate, University of Michigan

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