Keynote speakers

Stress-testing Algorithms via Instance Space Analysis

Explainable Deep Learning for Natural Language Processing

Deep Learning Approaches for Predicting Virus-Host Interactions and Drug Response [virtual]

[introductory/intermediate] Natural Language Processing in the Pretrained Language Model Era

[introductory] Introduction to Deep Learning with Apache Spark

[introductory/intermediate] Deep Learning for Digital Assistants

[introductory/intermediate] Neural Approaches to Conversational Information Retrieval

[introductory/intermediate] Robust Deep Learning

[introductory/intermediate] Deep Learning for Quality Robust Visual Recognition

[introductory] An Introductory Course on Machine Learning and Deep Learning with Mathematica/Wolfram Language

[intermediate] Deep Learning for Trustworthy Biometrics

[intermediate] Ultra Low-latency and Low-area Machine Learning Inference at the Edge

[introductory] Use of Predictive Models in Medicine and Biomedical Research

[introductory] Quantum Computing and Neural Networks

[intermediate] NeuroMath – Explainable AI from First Principles

[intermediate] Re-engineering Computing with Neuro-inspired Learning: Algorithms, Architecture, and Devices

[intermediate/advanced] Machine Learning for Wireless Communications: Challenges and Opportunities

[introductory/intermediate] Interpreting Machine Learning Models

[intermediate] Deep Learning for Air Quality, Weather and Climate

[introductory/intermediate] Generative Models in High Energy Physics: Examples from CERN

[intermediate/advanced] Machine Learning with Graphs and  Applications

[introductory/advanced] Integrating AI, Math and Experimental Data to Forecast Emerging SARS-CoV-2 Variants [virtual]

[intermediate/advanced] Deep Learning for NLP and Causal Inference

[introductory/intermediate] Vision-based Emotion AI