Contrastive Learning Courses and Certifications

Yannic Kilcher

CURL - Contrastive Unsupervised Representations for Reinforcement Learning

Explore how contrastive learning enhances reinforcement learning, improving performance in complex tasks using high-level features extracted from raw pixels.

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

DataLearning@ICL

Towards Better Understanding of Contrastive Learning

Explore contrastive learning's foundations, dynamics, and applications in deep models. Gain insights into self-supervised learning, nonlinear analysis, and feature emergence through expert presentation.

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

Center for Language & Speech Processing(CLSP), JHU

Multilingual Representation Distillation with Contrastive Learning

Explore multilingual sentence representations and contrastive learning for cross-lingual tasks, focusing on quality estimation of parallel sentences and similarity search in low-resource languages.

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

Center for Language & Speech Processing(CLSP), JHU

Multilingual Representation Distillation with Contrastive Learning

Explore multilingual sentence representations and contrastive learning for cross-lingual tasks, focusing on quality estimation of parallel sentences and low-resource languages.

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

Building Multimodal Search and RAG

41 ratings at Coursera

Develop skills to build advanced AI systems that process and reason over multiple data types, enhancing search, RAG, and recommender capabilities with multimodal context.

• Coursera
• 1 hour 2 minutes
• On-Demand
• Paid Course

BIMSA

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

Explore Graph Contrastive Coding (GCC), a self-supervised pre-training framework for graph neural networks that captures universal network topological properties across multiple networks.

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

Center for Language & Speech Processing(CLSP), JHU

Automated Support to Scaffold Students' Short- and Long-form STEM Writing

Explore automated analysis of student writing for STEM education, covering short answers and long-form essays. Learn about methods for formative assessment and scaffolding reasoning skills.

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

Harvard CMSA

Global Minimizers of Sigmoid Contrastive Loss

Explore theoretical foundations of sigmoid contrastive loss in SigLIP models, understanding (m,b)-Constellations and their role in representation learning and retrieval tasks.

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

Harvard CMSA

Data Reliability Scoring

Discover how to assess dataset reliability without ground truth using the Gram Determinant Score method for noisy, biased, or strategically manipulated data in data-driven decisions.

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

Contrastive Language-Image Pretraining (CLIP) Fluency

Discover how CLIP connects text and images through contrastive language-image pretraining techniques in machine learning applications.

• Udacity
• 1 hour
• On-Demand
• Paid Course

Robust Pre-Training by Adversarial Contrastive Learning - CAP6412 Spring 2021

Explore robust pre-training techniques using adversarial contrastive learning, focusing on unsupervised and semi-supervised methods for improved model resilience and accuracy.

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

Adversarial Self-Supervised Contrastive Learning

Explore adversarial self-supervised contrastive learning, covering transformers, frameworks, algorithms, evaluations, and experiments in this comprehensive presentation.

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

Contrastive Learning with Adversarial Examples - Spring 2021

Explore contrastive learning with adversarial examples, covering unsupervised embedding, self-supervised learning, experiments, and architectural studies in this comprehensive overview.

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

Simons Institute

Learning From Contrastive Examples in Machine Learning

Explores how contrastive training examples impact active learning algorithms, focusing on sample complexity for geometric concepts and Boolean functions, with connections to self-directed learning.

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

Association for Computing Machinery (ACM)

Disentangled Contrastive Hypergraph Learning for Next POI Recommendation - Lecture 4

Explore innovative hypergraph learning techniques for next POI recommendations, enhancing user experience in location-based services.

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