Keynote speakers

How Can Large Language Models Contribute to Effective Text Mining?

Effective Adaptation in Multi-Agent Teams

[intermediate/advanced] Open Hardware Platforms for Edge Machine Learning

[intermediate] AI for Earth, Climate, and Sustainability

[introductory/intermediate] Introduction to Representation Learning on Graphs

[introductory/advanced] Deep Networks for 3D Computer Vision

[intermediate/advanced] Stable Learning for Out-of-Distribution Generalization: Invariance, Causality and Heterogeneity

[introductory/intermediate] Machine Learning Fundamentals and Their Applications to Very Large Scientific Data: Rare Signal and Feature Extraction, End-to-End Deep Learning, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware

[introductory/intermediate] Machine Reading Comprehension with Large Language Models

[intermediate/advanced] Automated Machine Learning, or Deep Learning 2.0: AI that Builds and Improves AI

[intermediate/advanced] Optimizing LLM Inference

[intermediate/advanced] Machine Learning and Deep Learning for Speech & Language Technology: A Probabilistic Perspective

[intermediate/advanced] Operator Learning for Dynamical Systems

[intermediate] Continual and Adaptive Learning in Computer Vision

[introductory/intermediate] From Feature Attributions to Next-Generation Explainable AI

[introductory/intermediate] Trustworthy Machine Learning for Human Health and Medicine

[intermediate/advanced] Graph Machine Learning and Multimodal Graph Generative AI

[introductory/intermediate] Large Language Models and Biomedical Applications [videorecorded]