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#Semi-supervised Learning

Showing: 44 courses
Stanford University

Data-Efficient AI for Accelerating MRI Acquisition

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Explore physics-guided AI techniques for accelerating MRI acquisition, including unsupervised and semi-supervised approaches. Learn about a new 1.5TB dataset for evaluating MRI reconstructions with clinically-relevant metrics.
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28 Lesons
59 minutes
On-Demand
Free-Video
University of Central Florida

CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing

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Learn semi-supervised video object segmentation using capsule routing, exploring capsule networks, video capsules, and advanced techniques for improved accuracy and efficiency in computer vision tasks.
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24 Lesons
49 minutes
On-Demand
Free-Video
University of Central Florida

Consistency-Based Semi-Supervised Learning for Object Detection

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Explore semi-supervised learning for object detection, focusing on consistency-based approaches. Learn about loss functions, background elimination, and experimental results in this concise presentation.
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14 Lesons
27 minutes
On-Demand
Free-Video
University of Central Florida

Generalization to Video Capsules - From Convolutional to Video Capsule Networks

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Explore video capsule networks for action detection and object segmentation, including multi-modal approaches and semi-supervised techniques for improved performance in computer vision tasks.
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37 Lesons
35 minutes
On-Demand
Free-Video
University of Central Florida

Discovery of Latent 3D Keypoints via End-to-End Geometric Reasoning

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Explore end-to-end geometric reasoning for latent 3D keypoint discovery, combining keypoint and geometry learning networks to outperform supervised methods in semi-supervised keypoint finding.
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18 Lesons
20 minutes
On-Demand
Free-Video
University of Central Florida

Spatio-Temporal Learning from Limited Labels for Video Action Detection

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Explore spatio-temporal learning techniques for video action detection with limited labels, focusing on semi-supervised methods and temporal coherence for improved performance.
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25 Lesons
29 minutes
On-Demand
Free-Video
DigitalSreeni

Semi-Supervised Learning with GANs in Keras

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Explore semi-supervised learning with GANs in Keras, focusing on training discriminators as classifiers using limited labeled data for improved accuracy compared to traditional CNNs.
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7 Lesons
29 minutes
On-Demand
Free-Video
DigitalSreeni

Semi-Supervised Learning with GANs

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Explore semi-supervised learning with GANs, focusing on training discriminators as classifiers using limited labeled data for improved accuracy compared to traditional CNNs.
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8 Lesons
34 minutes
On-Demand
Free-Video
GERAD Research Center

Global Optimization for Cardinality-Constrained Minimum Sum-of-Squares Clustering via Semidefinite Programming

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Explore global optimization techniques for cardinality-constrained minimum sum-of-squares clustering using semidefinite programming, focusing on exact algorithms and state-of-the-art approaches.
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22 Lesons
53 minutes
On-Demand
Free-Video
IEEE Signal Processing Society

Graph Constructions for Machine Learning Applications - New Insights and Algorithms

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Explore graph constructions for machine learning, covering signal variation, sampling, and semisupervised learning. Gain insights into theoretical analysis and applications in deep learning geometry.
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24 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Alan Turing Institute

Geometric Graph-Based Methods for High Dimensional Data

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Explore geometric graph-based methods for segmenting large datasets, combining nonlinear PDE image segmentation with linear algebra techniques to solve graph cut optimization problems in various applications.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Paul G. Allen School

Data-Driven Understanding of Human Disease: From Machine Learning Methods to Biological Discoveries

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Data-driven disease understanding: machine learning methods for genomic analysis, integrating model organism data with human studies to uncover disease mechanisms and genetic architecture.
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27 Lesons
59 minutes
On-Demand
Free-Video
Open Data Science

Semi-Supervised Anomaly Detection System Through Ensemble Stacking Algorithm

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Explore semi-supervised anomaly detection in retail using ensemble stacking. Learn innovative techniques for fraud prevention, combining deep and traditional models to identify unknown anomalies and enhance fraud detection.
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9 Lesons
31 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

A Bayesian View of Inductive Learning in Humans and Machines - 2004

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Explore how humans make successful generalizations from limited evidence through Bayesian inferences constrained by implicit domain theories, with applications to machine learning.
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1 Lesons
1 hour 26 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Graph Convolutional Networks - GNN Paper Explained

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Comprehensive exploration of Graph Convolutional Networks, covering theory, implementation, and applications. Delves into spectral methods, Weisfeiler-Lehman perspective, and GNN depth, offering insights for both beginners and experts.
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13 Lesons
50 minutes
On-Demand
Free-Video
Edan Meyer

This AI Learns from YouTube

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Explore OpenAI's innovative approach to training AI agents using YouTube videos, focusing on Minecraft gameplay and combining imitation learning with reinforcement learning techniques.
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11 Lesons
21 minutes
On-Demand
Free-Video
Yannic Kilcher

HyperTransformer - Model Generation for Supervised and Semi-Supervised Few-Shot Learning

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Explore HyperTransformer, a novel approach to few-shot learning using transformers to generate CNN weights. Learn about its architecture, advantages, and potential applications in machine learning.
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12 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Launchpad

Big Self-Supervised Models are Strong Semi-Supervised Learners

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Explore cutting-edge semi-supervised learning techniques using large self-supervised models, examining their potential and impact on machine learning research and applications.
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8 Lesons
23 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP 2020 - Unsupervised and Semi-supervised Learning of Structure

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Explore unsupervised and semi-supervised learning methods for NLP, covering feature learning, structure learning, and design decisions with practical examples and applications.
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15 Lesons
1 hour 13 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP 2019 - Unsupervised and Semi-supervised Learning of Structure

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Explore unsupervised and semi-supervised learning methods for NLP, covering feature and structure learning, design decisions, and practical examples in this advanced lecture.
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18 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Yannic Kilcher

Self-Training With Noisy Student Improves ImageNet Classification - Paper Explained

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Explore a novel semi-supervised learning approach for image classification using unlabeled data, improving model performance and robustness through iterative self-training and noise injection techniques.
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10 Lesons
41 minutes
On-Demand
Free-Video
Yannic Kilcher

FixMatch - Simplifying Semi-Supervised Learning with Consistency and Confidence

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Explore FixMatch, a powerful semi-supervised learning approach combining consistency regularization and pseudo-labeling for improved model performance with limited labeled data.
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9 Lesons
20 minutes
On-Demand
Free-Video
Yannic Kilcher

Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery

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Explore dynamical distance learning for reinforcement agents, enhancing policy learning through state distance estimation. Discover applications in semi-supervised and unsupervised skill acquisition.
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1 Lesons
23 minutes
On-Demand
Free-Video
Alfredo Canziani

Low Resource Machine Translation

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Explore machine translation techniques for low-resource languages, covering evaluation methods, supervised and unsupervised learning approaches, and domain adaptation. Gain insights into Nepali-English translation case study.
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22 Lesons
1 hour 58 minutes
On-Demand
Free-Video
Simons Institute

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

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Explore adversarially trained smoothed classifiers for robust deep learning, covering theory, implementation, and experimental results in this technical talk.
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15 Lesons
47 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Causality Matters in Medical Imaging

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Explore causal reasoning in medical imaging, addressing data scarcity and mismatch challenges. Gain insights on predictive models, semi-supervision limitations, and strategies for successful machine learning implementation.
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21 Lesons
54 minutes
On-Demand
Free-Video
ICTP Mathematics

Lipschitz Learning and the Infinity-Laplacian

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Explore Lipschitz learning, infinity-harmonic functions, and their applications in Semi-Supervised Learning. Dive into the Lipschitz extension problem and AMLE, with insights on regularity and open challenges.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Yannic Kilcher

NeurIPS 2023 Research Highlights - Circuits, Collaborative Filtering, Clustering, and Privacy

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Overview of NeurIPS 2023 poster presentations covering graph neural networks, collaborative filtering, semi-supervised learning, and privacy assessment in image reconstruction, with insights on cutting-edge machine learning research.
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5 Lesons
34 minutes
On-Demand
Free-Video
OWASP Foundation

Social Media Botnet Detection with Linkage Analysis and Machine Learning

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Explore techniques for detecting social media spam botnets using linkage analysis and machine learning, covering unsupervised and semi-supervised approaches and their applications.
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10 Lesons
29 minutes
On-Demand
Free-Video
IEEE

DeepCASE - Semi-Supervised Contextual Analysis of Security Events

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Explore semi-supervised contextual analysis for security events with DeepCASE, enhancing threat detection and response in cybersecurity systems.
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1 Lesons
19 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

From Paper to Product - How We Implemented BERT

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Explore the journey of implementing BERT in a natural language generation product, from initial research to production deployment. Learn about challenges, successes, and valuable lessons for NLP practitioners.
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37 Lesons
49 minutes
On-Demand
Free-Video
Data Science Festival

Propensity Measurement Using Positive-Unlabelled Bagging

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Explore semi-supervised binary classification with Positive-Unlabelled learning for propensity measurement using PU bagging techniques.
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1 Lesons
26 minutes
On-Demand
Free-Video
SK AI SUMMIT 2024

AI-Based Wafer Defect Detection Using Anomaly Detection - Real-Time Implementation

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Discover advanced AI techniques for real-time wafer defect detection through unsupervised and semi-supervised learning, focusing on anomaly detection and segmentation in industrial manufacturing environments.
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1 Lesons
20 minutes
On-Demand
Free-Video
Discover AI

Node Classification with Graph Convolutional Networks for Graph Machine Learning

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Master Graph Convolutional Networks (GCN) implementation in PyG for node classification, featuring practical coding examples and theoretical foundations of spectral graph convolutions.
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1 Lesons
21 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Deepnets for Stereo and Structure from Motion - Part 2

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Explore semi-supervised depth prediction, wide context learning networks, and unsupervised monocular depth estimation techniques for advanced computer vision applications.
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1 Lesons
17 minutes
On-Demand
Free-Video
Yannic Kilcher

Big Self-Supervised Models Are Strong Semi-Supervised Learners

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Explore SimCLRv2, a powerful semi-supervised learning approach combining self-supervised pre-training, fine-tuning, and distillation to achieve state-of-the-art results with minimal labeled data.
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10 Lesons
38 minutes
On-Demand
Free-Video
Centre de recherches mathématiques - CRM

(Almost) All of Entity Resolution

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Explore entity resolution's applications, history, and current research in data integration, from foundational work to modern approaches in various fields like human rights and medicine.
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1 Lesons
49 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Artificial Intelligence and Digital Pathology: Making the Most of Limited Annotated Data

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Explore semi-supervised and self-supervised approaches for efficient use of limited medical imaging datasets in AI, focusing on digital pathology applications.
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1 Lesons
37 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Quantum-Assisted Machine Learning with Near-Term Quantum Devices

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Explore quantum-assisted machine learning applications for near-term devices, focusing on generative models in unsupervised and semi-supervised learning. Discover recent experimental implementations.
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1 Lesons
35 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Low-resource Morphological Generation with Neural Sequence-to-Sequence Models

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Explore neural sequence-to-sequence approaches for morphological generation in low-resource languages, including multi-task learning, cross-lingual transfer, and semi-supervised techniques.
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1 Lesons
47 minutes
On-Demand
Free-Video
Red Hat Developer

Active Learning Loop on OpenShift

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Implement an active learning pipeline on OpenShift using open-source tools for dynamic data labeling and improved model accuracy in machine learning operations.
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1 Lesons
44 minutes
On-Demand
Free-Video
Neuro Symbolic

Neural Network Introspection - Approaches from Machine Learning and Knowledge Representation

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Explore AI introspection approaches from ML and KR perspectives, covering ICNs, generative vs. discriminative models, and concept induction for enhanced machine learning understanding.
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8 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Exploiting Sparsity and Structure in Parametric and Nonparametric Estimation - 2007

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Explore advanced techniques in sparse estimation for graphical models and nonparametric regression, including l1 regularization and derivative regularization for high-dimensional data analysis.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Efficient Speech Processing

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Explore cutting-edge research in speech recognition, generation, and privacy. Learn about self-training algorithms, error correction models, joint text-to-speech modeling, and privacy-preserving techniques in speech processing.
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1 Lesons
1 hour 8 minutes
On-Demand
Free-Video