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#Representation Learning

Showing: 71 courses
Stanford University

Generalization and Personalization in Federated Learning - Karan Singhal

1 rewiews
Explore generalization and personalization in federated learning, focusing on medical AI applications. Insights on improving model performance across diverse data distributions and healthcare settings.
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43 Lesons
56 minutes
On-Demand
Free-Video
Stanford University

Towards Generalist Imaging Using Multimodal Self-Supervised Learning - Mars Huang

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Exploring multimodal self-supervised learning for generalist medical imaging AI, addressing limitations of supervised learning and clinical context integration in automated image analysis.
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20 Lesons
58 minutes
On-Demand
Free-Video
Stanford University

Stanford Seminar - Deploying Autonomous Service Mobile Robots, and Keeping Them Autonomous

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Explore challenges and solutions in deploying autonomous mobile robots in dynamic environments, covering robustness, failure anticipation, and efficient adaptation to user needs through advanced perception and learning techniques.
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1 Lesons
1 hour
On-Demand
Free-Video
Stanford University

Deep Generative Models - Discrete Latent Variable Models - Lecture 17

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Explore discrete latent variable models in deep generative modeling, covering key concepts and applications in AI and machine learning.
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1 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Massachusetts Institute of Technology

MIT EI Seminar - Phillip Isola - Emergent Intelligence- Getting More Out of Agents Than You Bake In

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Explore emergent intelligence in AI through unsupervised learning, generative modeling, and self-assembling agents. Discover surprising outcomes beyond explicit programming in representation, video generation, and creature development.
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38 Lesons
58 minutes
On-Demand
Free-Video
New York University (NYU)

The Information Knot - Tying Sensing and Action; Emergence Theory of Representation Learning

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Explore information theory, representation learning, and AI concepts with NYU's Stefano Soatto. Delve into information bottlenecks, mutual information, and disentangling in this advanced seminar on modern AI.
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27 Lesons
55 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Adaptive Fair Representation Learning for Personalized Fairness in Recommendations - Lecture 7

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Explore adaptive fair representation learning for personalized fairness in recommendations through information alignment techniques.
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1 Lesons
15 minutes
On-Demand
Free-Video
Broad Institute

Generative AI for Modeling Single-Cell Responses

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Explore generative AI applications in single-cell response modeling, covering data integration, representation learning, and multiomics analysis for biomedical insights.
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23 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Broad Institute

Deep Learning-Based Morphological Profiling for Rare Disease Genomic Medicine

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Explore deep learning-based morphological profiling for rare disease genomics. Uncover innovative approaches to overcome batch effects and improve out-of-distribution generalization in fluorescent microscopy data analysis.
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19 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Broad Institute

Physics Informed Representation Learning for Therapeutics

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Dive into physics-informed representation learning for therapeutics with MIT Assistant Professor Rafael Gomez-Bombarelli, exploring innovative approaches in drug discovery and development.
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1 Lesons
21 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Infinite Limits and Scaling Laws of Neural Networks

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Explore infinite parameter limits of deep neural networks, scaling laws, and their impact on performance. Gain insights into representation learning and computational resource optimization for neural network training.
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1 Lesons
1 hour
On-Demand
Free-Video
Alexander Amini

Deep Generative Modeling

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Explore deep generative modeling, including autoencoders, VAEs, and GANs. Learn about latent variables, representation learning, and applications in image generation and domain transformation.
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23 Lesons
44 minutes
On-Demand
Free-Video
Institute for Advanced Study

Learning Representations Using Causal Invariance - Leon Bottou

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Explore causal invariance in machine learning representations, focusing on stable properties, extrapolation, and robust supervised learning techniques for improved model performance and generalization.
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31 Lesons
33 minutes
On-Demand
Free-Video
Institut des Hautes Etudes Scientifiques (IHES)

Transfer Learning, Covariant Learning and Parallel Transport

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Explore transfer learning concepts, including dual algorithms, early time series classification, and connections to analogical reasoning and online learning. Gain insights into bias, information cost, and guarantees.
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1 Lesons
50 minutes
On-Demand
Free-Video
VinAI

Building Blocks of Generalizable Autonomy

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Explore key aspects of generalizable autonomy in robotics, including representational biases, causal inference, and interactive policy learning under uncertainty for efficient and adaptable AI systems.
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1 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Learning Transferable Human Behavior Representations From Sensor Data - Flora Salim

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Explore techniques for learning transferable human behavior representations from sensor data, including challenges, preprocessing, and applications in various domains.
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14 Lesons
44 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Topological Relational Learning on Graphs

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Explore topological relational learning on graphs, enhancing graph neural networks with higher-order information and local structure learning for improved classification and robustness to perturbations.
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16 Lesons
54 minutes
On-Demand
Free-Video
Open Data Science

Evaluating Recommendation Algorithms - Offline and Online Approaches

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Discover how Delivery Hero optimizes recommendation algorithms through offline evaluations and A/B testing, enhancing user experience while maintaining business metrics.
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8 Lesons
23 minutes
On-Demand
Free-Video
Manolis Kellis

Introduction to Machine Learning in Computational Biology - Lecture 1

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Comprehensive overview of computational biology, exploring GenAI, representation learning, and their applications in genomics and language models. Insights into future directions and potential impacts.
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10 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Valence Labs

Causal Discovery and Representation Learning - Day 4

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Explore causal discovery and representation learning in machine learning for drug discovery with Jason Hartford's insightful presentation.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Valence Labs

Identifying Representations for Intervention Extrapolation

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Explore identifiable representations for intervention extrapolation, improving generalizability in machine learning. Learn theoretical foundations and practical applications through simulations and Q&A.
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6 Lesons
33 minutes
On-Demand
Free-Video
VinAI

Learning on Graphs: From Representation to Minimally Supervised

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Explore graph representation learning, from shallow to deep embedding, for heterogeneous data. Discover algorithms for temporal and dynamic graphs, and few-shot learning techniques for minimally supervised scenarios.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Yannic Kilcher

Unsupervised Brain Models - How Does Deep Learning Inform Neuroscience?

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Explore connections between deep learning and neuroscience, focusing on unsupervised brain models and their potential to explain visual processing streams and representation learning in the brain.
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12 Lesons
1 hour 21 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
UofU Data Science

Vector Semantics and Word Embeddings in Natural Language Processing

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Dive into vector semantics and word embeddings, exploring representation learning, distributional hypothesis, word2vec implementation, and their practical applications in natural language processing.
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7 Lesons
1 hour 21 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Learning Visual Representations with Limited Labels for Semantic Image Understanding

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Explore visual representation learning techniques using limited labels, including self-supervised methods, image grouping, model distillation, and adversarial robustness in deep learning.
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10 Lesons
54 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Graph SAGE - Inductive Representation Learning on Large Graphs - GNN Paper Explained

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Deep dive into Graph SAGE, exploring its innovative approach to large-scale graph learning. Covers key concepts, training methods, aggregator functions, and comparisons with other graph neural networks.
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13 Lesons
44 minutes
On-Demand
Free-Video
Yannic Kilcher

Emerging Properties in Self-Supervised Vision Transformers - Facebook AI Research Explained

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Explore Facebook AI's DINO system, combining self-supervised learning with Vision Transformers for impressive image analysis without labels. Learn about its architecture, methodology, and groundbreaking results in computer vision.
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10 Lesons
39 minutes
On-Demand
Free-Video
Simons Institute

Tractable Learning in Structured Probability Spaces

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Explore tractable learning in structured probability spaces, focusing on logical circuits, probabilistic inference, and learning algorithms for complex datasets with constraints.
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30 Lesons
40 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Representation Learning and Custom Loss Functions for Atmospheric Data - Christian Lessig

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Explores representation learning and custom loss functions for atmospheric data analysis, advancing climate science through machine learning techniques to extract insights from complex Earth system observations.
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1 Lesons
43 minutes
On-Demand
Free-Video
Yannic Kilcher

Learning to Classify Images Without Labels - Paper Explained

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Explore innovative techniques for unsupervised image classification, combining representation learning, clustering, and self-labeling to group visually similar images without predefined labels.
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9 Lesons
46 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Graph Mining Hamilton

0 rewiews
Learn graph representation techniques for node classification, link prediction, and graph classification. Explore deep learning on graphs, GNNs, and their applications in drug repurposing and recommender systems.
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21 Lesons
43 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

Autoencoders Explained Easily

0 rewiews
Intuitive explanation of autoencoders, covering key concepts like representation learning and latent space, with applications in data generation, denoising, and anomaly detection.
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15 Lesons
28 minutes
On-Demand
Free-Video
Simons Institute

Representation Learning of Grounded Language and Knowledge - With and Without End-to-End Learning

0 rewiews
Explore representation learning for grounded language and knowledge, covering end-to-end learning, procedural language challenges, and applications in cooking instructions and dialogue generation.
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36 Lesons
43 minutes
On-Demand
Free-Video
Simons Institute

Continuous State Machines and Grammars for Linguistic Structure Prediction

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Explore linguistic structure prediction using continuous state machines and grammars. Learn about dependency parsing, RNNs, and advanced techniques for multilingual and semantic parsing.
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23 Lesons
38 minutes
On-Demand
Free-Video
Open Data Science

Effective Transfer Learning for NLP - Madison May - ODSC East 2018

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Explore effective transfer learning techniques for NLP, including parameter-efficient methods using sequence representations. Learn practical improvements for real-world tasks and discover the Enso library for benchmarking.
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29 Lesons
44 minutes
On-Demand
Free-Video
International Mathematical Union

Theory of Graph Neural Networks: Representation and Learning

0 rewiews
Explore the theory behind Graph Neural Networks, covering approximation, learning properties, and connections to graph isomorphism, equivariant functions, and dynamic programming.
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22 Lesons
46 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Multiview and Self-Supervised Representation Learning - Nonlinear Mixture Identification

0 rewiews
Explore nonlinear mixture identification in multiview and self-supervised representation learning. Gain insights into extracting essential information from high-dimensional data for improved AI applications.
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1 Lesons
48 minutes
On-Demand
Free-Video
Simons Institute

Evaluating Neural Network Representations Against Human Cognition

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Explore neural network representations and human cognition, comparing categorization models, psychological spaces, and relational similarities to enhance understanding of cognitive processes.
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26 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Simons Institute

The Missing Signal

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Explore representation learning and its applications in AI research with insights from Facebook's leading expert.
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1 Lesons
1 hour
On-Demand
Free-Video
Simons Institute

Geometry, Optimization and Generalization in Multilayer Networks

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Explore the interplay of geometry, optimization, and generalization in multilayer networks, focusing on representation learning and its applications in deep learning architectures.
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1 Lesons
49 minutes
On-Demand
Free-Video
Simons Institute

The Role of Conventions in Adaptive Human-AI Interaction

0 rewiews
Explores partner modeling in multi-agent coordination, focusing on representation learning, conventions, and strategies for reducing non-stationarity in decentralized systems.
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20 Lesons
55 minutes
On-Demand
Free-Video
Open Data Science

Information Flow and Deep Representation Learning

0 rewiews
Explore information bottleneck analysis in deep learning, gaining insights into representation learning, nuisance insensitivity, and disentanglement for advanced understanding of neural networks.
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16 Lesons
45 minutes
On-Demand
Free-Video
Paul G. Allen School

Visual Perception and Navigation in 3D Scenes

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Exploring 3D scene understanding and visual navigation for robotics, bridging computer vision and robotics. Discusses representation learning, 3D perception, and future research directions in these intersecting fields.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Yannic Kilcher

V-JEPA: Revisiting Feature Prediction for Learning Visual Representations from Video

0 rewiews
Explore V-JEPA, an unsupervised learning method for video data using latent representation prediction. Learn about its architecture, concept, and performance in various visual tasks.
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8 Lesons
50 minutes
On-Demand
Free-Video
Computational Genomics Summer Institute CGSI

Out of Distribution Generalization

0 rewiews
Explore out-of-distribution generalization techniques, focusing on nuisance-induced spurious correlations and invariant risk minimization. Gain insights into robust neural networks and counterfactual invariance.
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25 Lesons
49 minutes
On-Demand
Free-Video
Valence Labs

Unsupervised Learning of Group Invariant and Equivariant Representations

0 rewiews
Explore unsupervised learning of group invariant and equivariant representations. Gain insights into symmetry in data, practical examples, and results for graphs and various symmetries.
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9 Lesons
1 hour 32 minutes
On-Demand
Free-Video
Valence Labs

Additive Decoders for Latent Variables Identification

0 rewiews
Explore additive decoders for latent variable identification and out-of-support image generation in representation learning. Gain insights into nonlinear ICA and object-centric representation learning.
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7 Lesons
48 minutes
On-Demand
Free-Video
Valence Labs

Identifiable Deep Generative Models via Sparse Decoding

0 rewiews
Explore sparse VAE for unsupervised learning, uncovering identifiable latent factors in high-dimensional data. Discover theoretical guarantees and practical applications in various domains.
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8 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Valence Labs

Learning Representations on Biological Data with Weakly Supervised Learning

0 rewiews
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
Center for Language & Speech Processing(CLSP), JHU

Deep Learning of Generative Models - 2014

0 rewiews
Explore generative models in deep learning with Yoshua Bengio, covering motivations, applications, and fundamental challenges in AI and machine learning.
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23 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Simons Institute

Language Models as World Models? - Understanding Representations and Semantic Control

0 rewiews
Explore how language models encode world knowledge, their limitations in semantic accuracy, and techniques for improving their representations and controllability.
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1 Lesons
46 minutes
On-Demand
Free-Video
RSA Conference

Transfer Learning - Repurposing ML Algorithms from Different Domains to Cloud Defense

0 rewiews
Explore innovative ML applications in cybersecurity through transfer learning, leveraging algorithms from other domains to enhance cloud defense and tackle emerging threats.
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29 Lesons
46 minutes
On-Demand
Free-Video
WeAreDevelopers

Remaining Challenges in Deep Learning Based NLP

0 rewiews
Explores remaining challenges in Deep Learning-based NLP, including data limitations, performance metrics, robustness issues, representation problems, and lack of interpretability, despite recent advancements and media hype.
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14 Lesons
31 minutes
On-Demand
Free-Video
Conference GSI

Group Equivariant Sparse Coding

0 rewiews
Explore group equivariant sparse coding techniques and their applications in data analysis and machine learning.
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1 Lesons
24 minutes
On-Demand
Free-Video
DataLearning@ICL

Is There a Place for Representation Learning in Generative AI?

0 rewiews
Explore the intersection of Deep Learning, Representation Learning, and Generative AI, examining their relationships and potential synergies in advancing AI technology.
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1 Lesons
54 minutes
On-Demand
Free-Video
GERAD Research Center

Representation-driven Option Discovery in Reinforcement Learning

0 rewiews
Explore representation-driven option discovery in reinforcement learning, enhancing temporal abstraction and continual learning for intelligent agents.
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1 Lesons
56 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
Center for Language & Speech Processing(CLSP), JHU

Representation and Metric Learning Advances for Face and Speaker Biometric Systems

0 rewiews
Explore advances in representation and metric learning for face and speaker biometric systems, enhancing accuracy and efficiency in identity verification.
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1 Lesons
33 minutes
On-Demand
Free-Video
USC Probability and Statistics Seminar

Foundations for Feature Learning via Gradient Descent

0 rewiews
Explore the theoretical foundations of feature learning in modern machine learning models, focusing on gradient descent's role in extracting useful features and representations from data.
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1 Lesons
49 minutes
On-Demand
Free-Video
ICTP Condensed Matter and Statistical Physics

Representation Learning for Quantum Systems

0 rewiews
Explore advanced techniques for representation learning in quantum systems, focusing on cutting-edge approaches and their applications in condensed matter physics.
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1 Lesons
49 minutes
On-Demand
Free-Video
Finnish Center for Artificial Intelligence FCAI

Comparing Representations Learned by Neural Networks - Deconfounded Similarity Measures

0 rewiews
Explore improved methods for comparing neural network representations, addressing data structure confounding and enhancing functional similarity identification in transfer learning and out-of-distribution scenarios.
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1 Lesons
42 minutes
On-Demand
Free-Video
Finnish Center for Artificial Intelligence FCAI

The Role of Machine Learning in Facilitating Fusion Energy Research

0 rewiews
Explore machine learning applications in fusion energy research, including turbulence simulation speed-ups and predicting rare events. Gain insights into ML's potential to accelerate progress towards clean, abundant fusion energy.
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1 Lesons
43 minutes
On-Demand
Free-Video
TensorFlow

Intro to Deep Learning - ML Tech Talks

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Comprehensive introduction to deep learning concepts, neural network architectures, and practical applications, featuring TensorFlow examples, code demos, and insights into representation learning and model interpretability.
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24 Lesons
1 hour 14 minutes
On-Demand
Free-Video
MITCBMM

The Platonic Representation Hypothesis

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Explore the Platonic Representation Hypothesis with MIT's Phillip Isola, delving into philosophical concepts and their applications in modern computational theory.
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1 Lesons
1 hour 9 minutes
On-Demand
Free-Video
AI Doctoral Academy

Variational Audio-Visual Representation Learning - Lecture 34

0 rewiews
Explore advanced concepts in variational learning techniques for audio-visual data representation, focusing on cutting-edge AI methodologies and their practical applications.
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1 Lesons
1 hour 15 minutes
On-Demand
Free-Video
Inside Livermore Lab

Tensor Factorization for Biomedical Representation Learning

0 rewiews
Explore tensor factorization for biomedical representation learning, addressing challenges in healthcare data and improving predictive power for various downstream tasks.
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34 Lesons
1 hour 1 minute
On-Demand
Free-Video
BIMSA

Geometric Deep Graph Learning: Exploring Opportunities in Different Geometric Spaces

0 rewiews
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
Unify

ReFT: Representation Finetuning for Language Models Explained

0 rewiews
Explore ReFT, a novel approach to fine-tuning language models by modifying internal representations, achieving efficiency with fewer parameters than traditional methods.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

DeepWalk: Online Learning of Social Representations

0 rewiews
Explore online learning of social representations with DeepWalk, a groundbreaking approach to understanding social networks and graph structures.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
MITCBMM

Open Problems in the Theory of Deep Learning - Panel Discussion

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Explore cutting-edge perspectives on deep learning theory with leading experts, addressing unresolved questions and future research directions in this dynamic field.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video