Domain Adaptation Courses and Certifications

Style Transfer Augmentations for Computational Pathology - Rikiya Yamashita

Innovative style transfer augmentation technique for improving machine learning model generalization in computational pathology, enhancing robustness to domain shifts and achieving state-of-the-art performance in classification tasks.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Divide and Conquer - Concept-based Models for Efficient Transfer Learning

Exploring concept-based interpretable AI models for efficient transfer learning in healthcare, focusing on generalizability and minimal data requirements for domain adaptation in medical imaging.

• YouTube
• 1 hour
• On-Demand
• Free Video

Large Scale Multi-Microscope Datasets and Their Challenges in Medical AI

Explore groundbreaking research on multi-microscope datasets for malaria and leukemia detection, featuring innovative domain adaptation techniques and object detection methods to enhance early disease diagnosis.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Redefining Context for Powerful Test-Time Adaptation Using Unlabeled Data

Explore advanced test-time adaptation techniques for foundation models, focusing on context-driven approaches to improve model performance across different domains using unlabeled data and inductive biases.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Improving the Performance of Your LLM Beyond Fine Tuning

14 ratings at Udemy

Everything A Business Needs To Fine Tune An LLM Model On Their Own Data, And Beyond!

• Udemy
• 5 hours 2 minutes
• On-Demand
• Paid Course

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning

1 review

Learn domain-adaptive meta-learning for one-shot imitation, enabling robots to quickly learn new tasks by observing human demonstrations and adapting across domains.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Geo-localization Framework for Real-world Scenarios - Defense Presentation

Explore advanced geo-localization techniques using vision transformers and novel loss functions for improved accuracy in real-world scenarios, with a focus on bridging domain gaps.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Statistical and Spatial Consensus Collection for Detector Adaption

Explore detector adaptation techniques for improved pedestrian detection across domains, focusing on statistical and spatial consensus methods to enhance accuracy and generalization.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Alexander Amini;  MIT

Taming Dataset Bias via Domain Adaptation

Explore techniques to address dataset bias in deep learning, including adversarial domain alignment, pixel space alignment, and consistency enforcement for improved model generalization.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Open Data Science

Learning with Limited Labels - ODSC West 2020

Explore advanced techniques for machine learning with limited labeled data, including domain adaptation, few-shot learning, and self-supervised learning to enhance model performance across diverse domains and novel categories.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Bolei Zhou

Responsible Computer Vision - Model Failures and Solutions

Explore visual recognition challenges, dataset biases, and domain adaptation techniques to improve model performance and address fairness issues in computer vision systems.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Simons Institute

Machine Learning-Based Design of Proteins and Small Molecules

Explore machine learning techniques for designing proteins and small molecules, covering directed evolution, model-based optimization, and challenges in deep learning applications.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Simons Institute

What is Your Data Worth? Equitable Data Valuation in Machine Learning

Explore equitable data valuation in machine learning, focusing on Data Shapley Value and its applications in healthcare, face recognition, and NLP.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Graham Neubig

Neural Nets for NLP 2017 - Multilingual and Multitask Learning

Explore multitask, domain adaptation, and multilingual learning in neural networks for NLP. Gain insights into feature extraction, data augmentation, and cross-lingual techniques for improved language processing.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Elvis Saravia

Sentiment Analysis - Key Milestones, Challenges and New Directions

Explore key milestones, challenges, and new directions in sentiment analysis, covering topics from polarity detection to multimodal analysis and sentiment reasoning.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video