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#Contrastive Learning

Showing: 33 courses
Stanford University

Self-Supervision & Contrastive Frameworks - A Vision-Based Review

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Comprehensive review of self-supervised and contrastive learning frameworks in computer vision, exploring methodologies, performance, and potential applications in medical imaging.
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32 Lesons
58 minutes
On-Demand
Free-Video
Stanford University

SleepFM - Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

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Explore SleepFM, a groundbreaking multi-modal foundation model for sleep analysis, leveraging brain, cardiac, and respiratory data to improve sleep stage classification and disorder detection.
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1 Lesons
58 minutes
On-Demand
Free-Video
University of Central Florida

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

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Explore robust pre-training techniques using adversarial contrastive learning, focusing on unsupervised and semi-supervised methods for improved model resilience and accuracy.
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18 Lesons
44 minutes
On-Demand
Free-Video
University of Central Florida

Adversarial Self-Supervised Contrastive Learning

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Explore adversarial self-supervised contrastive learning, covering transformers, frameworks, algorithms, evaluations, and experiments in this comprehensive presentation.
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12 Lesons
43 minutes
On-Demand
Free-Video
University of Central Florida

Contrastive Learning with Adversarial Examples - Spring 2021

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Explore contrastive learning with adversarial examples, covering unsupervised embedding, self-supervised learning, experiments, and architectural studies in this comprehensive overview.
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11 Lesons
31 minutes
On-Demand
Free-Video
University of Central Florida

Human Activity Recognition - Learning with Less Labels and Privacy Preservation

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Learn advanced techniques for human activity recognition with limited labeled data and privacy preservation, including pseudoleveling, contrastive learning, and zero-shot approaches.
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14 Lesons
44 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion

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Explore innovative techniques for enhancing multimodal knowledge graph completion through semantic neighbor retrieval and contrastive learning.
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1 Lesons
15 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Disentangled Contrastive Hypergraph Learning for Next POI Recommendation - Lecture 4

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Explore innovative hypergraph learning techniques for next POI recommendations, enhancing user experience in location-based services.
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1 Lesons
15 minutes
On-Demand
Free-Video
OpenSource Connections

Building a Multimodal LLM-Based Search Assistant Chatbot for Housing Search - Haystack EU 2024

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Explore the development of a multimodal LLM-based chatbot for enhanced housing search, featuring contrastive vision-language models and innovative AI technologies to streamline user experiences in real estate.
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1 Lesons
41 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Learning from Simulations - Marc Huertas Company

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Explore astrostatistics and machine learning in galaxy formation, comparing models with observations and discussing innovative data analysis techniques for advancing astrophysical understanding.
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14 Lesons
34 minutes
On-Demand
Free-Video
Valence Labs

Linear Causal Representations from Interventions under General Nonlinear Mixing

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Explore causal representation learning from latent interventions in nonlinear settings. Uncover geometric structures, analyze precision matrices, and evaluate a contrastive algorithm for identifying latent variables.
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10 Lesons
54 minutes
On-Demand
Free-Video
Valence Labs

Large Language Molecular Representation and Learning

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Explore molecular machine learning's potential in drug discovery, focusing on representation challenges, self-supervised learning, and leveraging pre-trained language models for property prediction.
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10 Lesons
1 hour 7 minutes
On-Demand
Free-Video
UofU Data Science

Introduction to Machine Learning Model Explanations and Interpretability

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Explore key concepts in data science explanations, from gradient-based highlighting to contrastive editing, covering essential techniques for understanding and interpreting complex models.
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11 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Discover AI

SETFIT Hyperparameter Optimization for SBERT Text Classification - Part 45

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Master SETFIT hyperparameter optimization techniques for efficient text classification using Sentence Transformers, focusing on contrastive training and automated parameter tuning for optimal performance.
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1 Lesons
22 minutes
On-Demand
Free-Video
Discover AI

SetFit with SBERT for Few-Shot Text Classification - Multi-Class and Multi-Label

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Master SetFit and SBERT techniques for efficient few-shot text classification, exploring contrastive training, dense embeddings, and classification head implementation for both multi-class and multi-label scenarios.
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1 Lesons
28 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

OpenAI CLIP - Connecting Text and Images - Paper Explained

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Explore OpenAI's CLIP model for connecting text and images, covering its methodology, zero-shot capabilities, and performance comparisons. Learn about its embedding space quality and limitations.
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16 Lesons
53 minutes
On-Demand
Free-Video
Yannic Kilcher

How to Represent Part-Whole Hierarchies in a Neural Network - Geoff Hinton's Paper Explained

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Explore GLOM, a novel computer vision model combining transformers, neural fields, and capsule networks to dynamically construct parse trees for object recognition and scene understanding.
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13 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Bolei Zhou

Toward Generalizable Embodied AI for Machine Autonomy

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Explore recent advancements in machine autonomy, focusing on generalizable embodied AI through sequential decision-making, simulation environments, and human-AI collaboration.
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17 Lesons
56 minutes
On-Demand
Free-Video
Graham Neubig

CMU Advanced NLP: Pre-training Methods

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Explore advanced NLP concepts including multi-task learning, sentence embeddings, BERT variants, and language modeling objectives. Gain insights into cutting-edge techniques for natural language processing.
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25 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Yannic Kilcher

CURL - Contrastive Unsupervised Representations for Reinforcement Learning

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Explore how contrastive learning enhances reinforcement learning, improving performance in complex tasks using high-level features extracted from raw pixels.
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1 Lesons
29 minutes
On-Demand
Free-Video
Alfredo Canziani

Self-Supervised Learning in Computer Vision

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Explore self-supervised learning in computer vision, covering pretext tasks, clustering, and contrastive learning. Gain insights into PIRL framework and its evaluation across various applications.
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7 Lesons
2 hours 1 minute
On-Demand
Free-Video
tinyML

Learning Compact Representation with Less Labeled Data from Sensors

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Exploring data-efficient learning techniques for compact representations in sensor-based human behavior modeling, focusing on domain adaptation and pretraining approaches for minimal labeled data scenarios.
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13 Lesons
27 minutes
On-Demand
Free-Video
Computational Genomics Summer Institute CGSI

Strategies for Integrating Deep Learning with Current Biomedical Research

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Explore strategies for integrating deep learning in biomedical research, focusing on automated identification of clinical features from medical imaging and prediction of disease progression.
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1 Lesons
19 minutes
On-Demand
Free-Video
Computational Genomics Summer Institute CGSI

Bridging ML Models with Medical Insights for Learning, Inference, and Model Explanation in Radiology

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Explore ML models bridging medical insights for radiology applications. Learn about self-supervised representation, progressive exaggeration, contrastive learning, causal analysis, and association tests in medical imaging.
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1 Lesons
50 minutes
On-Demand
Free-Video
Valence Labs

Protein Representation Learning by Geometric Structure Pretraining

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Explore protein representation learning through geometric structure pretraining. Learn about GearNet, a protein structure encoder, and techniques like contrastive learning for improved function prediction.
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13 Lesons
53 minutes
On-Demand
Free-Video
Valence Labs

Learning Representations on Biological Data with Weakly Supervised Learning

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Explore weakly supervised learning for biological data representations. Discover PeML method for improved similarity metrics in perturbational experiments, enhancing mechanism of action identification and downstream analysis tasks.
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13 Lesons
1 hour 2 minutes
On-Demand
Free-Video
USENIX

Continuous Learning for Android Malware Detection

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Innovative approach combining contrastive and active learning to combat concept drift in Android malware detection, improving accuracy and consistency over time.
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1 Lesons
14 minutes
On-Demand
Free-Video
DataLearning@ICL

Towards Better Understanding of Contrastive Learning

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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.
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25 Lesons
58 minutes
On-Demand
Free-Video
MLOps.community

Fresh Data and Smart Retrieval: Milvus and Jina CLIP Explained - MLOps Mini Summit 7

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Explore vector database updates, Milvus mechanics, and Jina CLIP's novel multi-task contrastive training for enhanced multimodal and text-based retrieval systems. Master data freshness in high-throughput, low-latency scenarios.
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30 Lesons
50 minutes
On-Demand
Free-Video
Simons Institute

Learning From Contrastive Examples in Machine Learning

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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.
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1 Lesons
37 minutes
On-Demand
Free-Video
Simons Institute

Understanding Generalization from Pre-training Loss to Downstream Tasks

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Explore the mystery of pre-trained models' effectiveness, examining contrastive loss, embedding spaces, and the roles of inductive bias and optimizers in generalization to downstream tasks.
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1 Lesons
1 hour 18 minutes
On-Demand
Free-Video
BIMSA

Geometric Deep Graph Learning: Exploring Opportunities in Different Geometric Spaces

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Explore geometric deep graph learning in non-Euclidean spaces. Discover properties of hyperbolic and hyperspherical spaces for enhanced graph representation and analysis across various applications.
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1 Lesons
1 hour
On-Demand
Free-Video
USENIX

FAMOS: Robust Privacy-Preserving Authentication on Payment Apps via Federated Multi-Modal Contrastive Learning

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Discover how FAMOS framework enhances mobile payment security through federated multi-modal contrastive learning, offering robust user authentication while protecting privacy and handling background noise.
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1 Lesons
13 minutes
On-Demand
Free-Video