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#Meta-Learning

Showing: 36 courses
Edan Meyer

Steps to AGI

1 rewiews
Explore DeepMind Alberta's plan for achieving AGI through reinforcement learning, continual learning, and meta-learning in complex environments, with a focus on key steps and core concepts.
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9 Lesons
44 minutes
On-Demand
Free-Video
Stanford University

Towards Safe and Efficient Learning in the Physical World - Stanford Seminar

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Exploring safe Bayesian optimization and model-based deep reinforcement learning for efficient, safe online learning in real-world applications like robotics and laser tuning.
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1 Lesons
46 minutes
On-Demand
Free-Video
Massachusetts Institute of Technology

EI Seminar - Recent Papers in Embodied Intelligence

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Explore cutting-edge research in embodied intelligence, covering topics like experiment design, neuro-symbolic models, robot design, speech recognition, and social perception.
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15 Lesons
53 minutes
On-Demand
Free-Video
University of Central Florida

Unsupervised Meta-Learning for Few-Shot Image Classification

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Explore unsupervised meta-learning techniques for few-shot image classification, including task construction, augmentation methods, and performance on benchmark datasets.
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18 Lesons
26 minutes
On-Demand
Free-Video
University of Central Florida

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

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Learn domain-adaptive meta-learning for one-shot imitation, enabling robots to quickly learn new tasks by observing human demonstrations and adapting across domains.
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16 Lesons
30 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning - M1.2

0 rewiews
Explore meta hyperbolic learning for few-shot temporal reasoning in knowledge graphs, enhancing reasoning capabilities with limited data.
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1 Lesons
13 minutes
On-Demand
Free-Video
Broad Institute

Machine Learning in Drug Discovery - Lightning Talks

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Explore cutting-edge ML applications in drug discovery through lightning talks on antibody optimization, PROTAC design, small molecule binders, and protein-fragment interactions.
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5 Lesons
25 minutes
On-Demand
Free-Video
Institute for Advanced Study

Meta-Learning - Why It’s Hard and What We Can Do - Ke Li

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Explore meta-learning challenges and solutions with Ke Li, covering optimization, model selection, and program induction in this theoretical machine learning seminar.
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30 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Alan Turing Institute

Dynamic Meta-Learning for Anomaly Detection - Cole Sodja, Microsoft Defender ATP

0 rewiews
Explore dynamic meta-learning for anomaly detection, focusing on probabilistic calibration and adaptive mixtures of models to enhance cyber threat detection in Microsoft Defender ATP.
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15 Lesons
1 hour 26 minutes
On-Demand
Free-Video
tinyML

Toward Data-Driven Applications with AIoT Devices

0 rewiews
Explore data-driven AIoT applications, model reduction techniques, and meta-learning approaches for enhanced inference accuracy in diverse environments, with real-life examples and future research directions.
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22 Lesons
32 minutes
On-Demand
Free-Video
Discover AI

Gödel's Theorem and Self-Learning AI Machines - From Incompleteness to Recursive Agents

0 rewiews
Explore the groundbreaking Gödel Agent framework for AI, examining how self-referential systems and recursive self-improvement enable machines to autonomously evolve and optimize their own code and decision-making processes.
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9 Lesons
35 minutes
On-Demand
Free-Video
Discover AI

Automated Design of AI Agents Using ADAS Framework

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Explore the cutting-edge framework for self-designing AI agents, featuring automated architecture generation, peer evaluation systems, and iterative refinement processes for enhanced problem-solving capabilities.
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12 Lesons
35 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

The Power of Adaptivity in Representation Learning - From Meta-Learning to Federated Learning

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Delve into advanced machine learning concepts exploring adaptivity in representation learning, focusing on meta-learning and federated learning approaches for model deployment in new environments.
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17 Lesons
1 hour 2 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Meta-Learning Dynamics Forecasting Using Task Inference

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Explore meta-learning dynamics forecasting using task inference to improve generalization across heterogeneous domains in deep learning models for predicting complex systems.
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17 Lesons
53 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Challenges in Deep Learning - Open Problems and Recent Observations

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Explore key open problems in deep learning, focusing on continual learning and implicit biases. Gain insights from a leading researcher on crucial areas for advancing the field.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
AutoML Seminars

Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How

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Discover a methodology for efficiently selecting and fine-tuning pretrained models through meta-learning, optimizing model selection and hyperparameter configurations for new datasets.
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1 Lesons
40 minutes
On-Demand
Free-Video
AutoML Seminars

Discovering Black-Box Optimizers via Evolutionary Meta-Learning

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Delve into evolutionary meta-learning techniques for discovering black-box optimizers, exploring advanced concepts in evolution strategies and genetic algorithms through self-attention architectures.
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26 Lesons
50 minutes
On-Demand
Free-Video
Yannic Kilcher

IMAML- Meta-Learning with Implicit Gradients

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Explore an innovative approach to meta-learning that improves computational efficiency through implicit gradients, enabling faster adaptation to new tasks using prior knowledge.
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9 Lesons
51 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

OpenAI - Solving Rubik's Cube with a Robot Hand - RL Paper Explained

0 rewiews
Detailed explanation of OpenAI's robotic hand solving Rubik's Cube using simulation-based training, covering system design, domain randomization, and reinforcement learning techniques.
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23 Lesons
55 minutes
On-Demand
Free-Video
Yannic Kilcher

Meta-Learning Through Hebbian Plasticity in Random Networks - Paper Explained

0 rewiews
Explores biologically-inspired Hebbian learning for adaptive AI agents. Demonstrates how random neural networks can self-organize during runtime to solve RL tasks and adapt to new situations without fixed policies.
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9 Lesons
39 minutes
On-Demand
Free-Video
Yannic Kilcher

Parameter Prediction for Unseen Deep Architectures - With First Author Boris Knyazev

0 rewiews
Explore parameter prediction for neural networks using graph hypernetworks. Learn about DeepNets-1M dataset, training techniques, and experimental results for efficient network training paradigms.
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13 Lesons
48 minutes
On-Demand
Free-Video
Yannic Kilcher

Efficient and Modular Implicit Differentiation - Machine Learning Research Paper Explained

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Explores a unified framework for implicit differentiation in machine learning, enabling automatic differentiation of optimization problems without manual derivations or loop unrolling, with applications in meta-learning and hyperparameter optimization.
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8 Lesons
33 minutes
On-Demand
Free-Video
Graham Neubig

CMU Multilingual NLP 2020 - Multilingual Training and Cross-Lingual Transfer

0 rewiews
Explore multilingual NLP techniques, including cross-lingual transfer, zero-shot adaptation, and meta-learning. Learn strategies for balancing data, improving zero-shot performance, and addressing challenges in multilingual training.
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23 Lesons
40 minutes
On-Demand
Free-Video
Yannic Kilcher

Agent57 - Outperforming the Atari Human Benchmark

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Explore DeepMind's Agent57, the first AI to surpass human performance in all 57 Atari games. Learn about its innovative approach to reinforcement learning and meta-learning for exploration-exploitation balance.
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1 Lesons
32 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

AI-Generating Algorithms - A Unique Opportunity

0 rewiews
Explore AI-generating algorithms as a path to general AI, focusing on meta-learning architectures, learning algorithms, and effective environments. Discover unique opportunities for evolutionary RL research.
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31 Lesons
42 minutes
On-Demand
Free-Video
Simons Institute

Flexible Neural Networks and the Frontiers of Meta-Learning

0 rewiews
Explore cutting-edge approaches in meta-learning and flexible neural networks for rapid skill acquisition in AI agents, with applications in few-shot image classification and real-world scenarios.
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10 Lesons
50 minutes
On-Demand
Free-Video
Simons Institute

Meta-Learning of Optimizers and Update Rules

0 rewiews
Explore cutting-edge techniques in meta-learning for optimizers and update rules, focusing on advancements in deep learning and their applications in AI research.
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1 Lesons
47 minutes
On-Demand
Free-Video
Andreas Geiger

Towards Animatable Human Avatars

0 rewiews
Explore cutting-edge techniques for creating animatable human avatars using neural implicit shapes and meta-learning approaches, with applications in computer vision and graphics.
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16 Lesons
28 minutes
On-Demand
Free-Video
Andreas Geiger

Implicit Neural Scene Representations

0 rewiews
Explore implicit neural representations for complex signals, enabling 3D reconstruction from single images and fast inference through gradient-based meta-learning, with applications in scene understanding and semantic segmentation.
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24 Lesons
57 minutes
On-Demand
Free-Video
Devoxx

AutoML + ML APIs = Machine Learning for All Developers

0 rewiews
Explore how AutoML and ML APIs enable developers to build smart applications using pre-trained models and customization techniques, with live demo and practical insights.
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1 Lesons
51 minutes
On-Demand
Free-Video
USENIX

AWARE - Automate Workload Autoscaling with Reinforcement Learning in Production Cloud Systems

0 rewiews
Explore AWARE, an innovative framework using reinforcement learning for efficient workload autoscaling in cloud systems, offering faster adaptation and improved resource utilization.
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1 Lesons
22 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Meta Learning Control Variates for Variance Reduction with Limited Data

0 rewiews
Explore meta-learning control variates for variance reduction in Monte Carlo estimators with limited data, leveraging similarities across multiple integration tasks for improved performance.
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1 Lesons
25 minutes
On-Demand
Free-Video
AutoML Seminars

Neural Fine-Tuning Search for Few-Shot Learning

0 rewiews
Explore advanced neural architecture search techniques for optimizing few-shot learning adaptation strategies, focusing on meta-training and meta-testing trade-offs in multi-domain contexts.
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1 Lesons
30 minutes
On-Demand
Free-Video
Inside Livermore Lab

GPT-PINN and TGPT-PINN: Advanced Physics-Informed Neural Networks for Parametric PDEs

0 rewiews
Explore GPT-PINN and TGPT-PINN for efficient parametric PDE solutions. Learn meta-learning techniques to reduce training time and network complexity while maintaining accuracy across parameter domains.
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1 Lesons
59 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

AutoML Towards Deep Learning: Optimizing Neural Architectures and Hyperparameters

0 rewiews
Explore advances in AutoML for Deep Learning, focusing on joint optimization, efficiency, and robustness. Learn about the future of automated neural architecture and hyperparameter optimization.
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1 Lesons
57 minutes
On-Demand
Free-Video
VinAI

A View in Old and New Machine Learning

0 rewiews
Explore old and new machine learning approaches, comparing hierarchical probabilistic models with deep neural networks and examining their unique capabilities and potential combinations.
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1 Lesons
1 hour 33 minutes
On-Demand
Free-Video