English Courses

Explaining Model Decisions and Fixing Them Through Human Feedback

Explore algorithms for explaining deep network decisions, building user trust, incorporating domain knowledge, learning grounded representations, and correcting unwanted biases in AI models.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Fairness in Representation Learning - Natalie Dullerud

Explore fairness in deep metric learning, evaluating bias in representations and its impact on minority subgroups. Learn about a novel approach to mitigate bias and improve fairness in machine learning models.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Real-Time Seizure Detection Using EEG - Hyewon Jeong

Comprehensive comparison of state-of-art models for real-time seizure detection using EEG, evaluating performance metrics and exploring optimal feature extractors for practical clinical applications.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Actionable Machine Learning for Tackling Distribution Shift - Huaxiu Yao

Explore techniques for building robust machine learning models that can handle distribution shifts, including subpopulation and domain shifts, and adapt to new test distributions with minimal labeled data.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Generative Models With Domain Knowledge for Weakly Supervised Clustering

Explore deep generative models for weakly supervised clustering, incorporating domain knowledge and survival data to guide algorithms towards medically meaningful findings in biomedical datasets.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Curation and Analysis of Annotated Medical Images Across Institutions - Xiaoyuan Guo

Explore techniques for curating and analyzing annotated medical images across institutions, focusing on data sharing challenges, anomaly detection, and OOD-aware image retrieval for improved dataset quality and future analysis.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Beyond Testset Performance - Strategies for Clinical Deployment

Strategies for deploying AI in clinical settings, addressing challenges beyond test performance. Explores model reliability, distribution shifts, and human-AI collaboration for real-world medical applications.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Domain Adaptation with Invariant Representation Learning - What Transformations to Learn?

Explore domain adaptation in machine learning, focusing on invariant representation learning and its challenges. Learn about novel techniques for optimal feature mapping across domains.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Efficiently Modeling Long Sequences with Structured State Spaces - Albert Gu

Explore structured state space models for efficient long sequence modeling across modalities, featuring S4's innovative approach to handling extended dependencies in various data types.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Weakly-Supervised, Large-Scale Computational Pathology for Diagnosis and Prognosis - Max Lu

Explore machine learning models for histopathology analysis, enabling large-scale cancer diagnosis and prognosis without manual annotations. Learn about innovative approaches in computational pathology.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Federated Hyperparameter Tuning - Challenges, Baselines, and Connections

Explores challenges and solutions for hyperparameter tuning in federated learning, introducing FedEx method to accelerate the process. Connects to weight-sharing in neural architecture search and demonstrates improved accuracy on benchmarks.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Optimizing for Interpretability in Deep Neural Networks - Mike Wu

Explore techniques for making deep neural networks more interpretable through regularization, focusing on medical applications in critical care and HIV treatment. Insights on balancing model performance with human-understandable decision processes.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Deep Learning Methods for Electrocardiograms and Echocardiograms

Explore cutting-edge deep learning methods for ECG and echocardiogram analysis, outperforming traditional algorithms and offering insights into cardiovascular imaging interpretation.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

GANs in Medical Image Synthesis, Translation, and Augmentation - Jason Jeong

Explore GANs in medical imaging for synthetic data generation, addressing scarcity and imbalance issues. Learn about applications in CT, MRI, and disease detection, with insights on challenges and future directions.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Adversarial Debiasing With Partial Learning - Medical Image Studies

Explore adversarial debiasing techniques to reduce racial disparities in medical AI models for chest X-rays and mammograms while maintaining overall performance and trustworthiness.

• YouTube
• 33 minutes
• Self-Paced
• Free Video