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#Generalization

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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
Massachusetts Institute of Technology

On Building General, Zero-Shot Robot Policies - EI Seminar

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Explore the development of zero-shot robot policies for real-world tasks. Gain insights into Robot Utility Models (RUMs) and their ability to generalize to new environments without finetuning, achieving 90% success in novel settings.
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1 Lesons
54 minutes
On-Demand
Free-Video
Santa Fe Institute

Stochastic Learning Dynamics and Generalization in Neural Networks

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Explore stochastic learning dynamics and generalization in neural networks, uncovering key insights into their behavior and performance in various applications.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

COMI: Correct and Mitigate Shortcut Learning Behavior in Deep Neural Networks

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Explore techniques to correct and mitigate shortcut learning in deep neural networks, enhancing model robustness and generalization capabilities.
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1 Lesons
13 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Infinite Limits and Scaling Laws of Neural Networks

0 rewiews
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
Institute for Pure & Applied Mathematics (IPAM)

Comparison and Transfer Between Tasks in Overparameterized Learning

0 rewiews
Explore similarities and differences in classification and regression tasks for overparameterized linear models. Gain insights into task transfer and generalization in high-dimensional regimes.
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1 Lesons
49 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

The Dynamics of Memorization and Generalization in Deep Learning

0 rewiews
Explore the complex interplay between memorization and generalization in deep learning models, examining strategies to mitigate unwanted memorization and the impact of pruning techniques on learning outcomes.
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1 Lesons
52 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Two Stories in Mechanistic Interpretation of Natural and Artificial Neural Computation

0 rewiews
Explore two stories in mechanistic interpretation of neural computation, covering in-context learning in Transformers and insights into linear regression tasks using linear attention models.
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1 Lesons
55 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Dynamics of Brain's Deep Network

0 rewiews
Uncover insights into brain's deep network processing of visual information, exploring biophysical principles and emergent theories through cutting-edge neurotechnology and experimental observations.
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1 Lesons
1 hour
On-Demand
Free-Video
Simons Institute

Neural Networks Meet Nonparametric Regression: Generalization by Weight Decay and Large Learning Rates

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Explore the intersection of deep neural networks and nonparametric regression, uncovering insights on overparameterization, representation learning, and adaptive generalization in machine learning.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Simons Institute

Generalization in Robotic Behavior Cloning: Pitfalls and Promises

0 rewiews
Explore challenges and solutions in robotic behavior cloning, focusing on generalization in continuous state/action spaces. Gain insights into frameworks enabling agents to imitate complex behaviors with provable guarantees.
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1 Lesons
53 minutes
On-Demand
Free-Video
Simons Institute

Know When You Know: Handling Adversarial Data by Abstaining

0 rewiews
Explore sequential prediction in stochastic settings with adversarial interference. Learn strategies for handling distribution shifts and making confident predictions while abstaining from uncertain cases.
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1 Lesons
1 hour
On-Demand
Free-Video
Simons Institute

Does Generalization Imply Accuracy on the Line? A New Look at Robust Generalization

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Explore the relationship between generalization and accuracy in machine learning, examining robust generalization through a fresh perspective.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Simons Institute

How Well Does Diffusion Model Generate? Exploring Generalization in Emerging Settings

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Explore the capabilities and limitations of diffusion models in generative tasks, focusing on emerging generalization settings and their implications.
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1 Lesons
57 minutes
On-Demand
Free-Video
Simons Institute

Generalization in Diffusion Models Arises from Geometry-Adaptive Harmonic Representations

0 rewiews
Uncover the geometric foundations of diffusion models' generalization capabilities through adaptive harmonic representations in this insightful exploration.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Simons Institute

In-Context Principle Learning from Mistakes

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Explore Uri Alon's insights on in-context principle learning from mistakes, focusing on emerging generalization settings in AI and machine learning.
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1 Lesons
58 minutes
On-Demand
Free-Video
Simons Institute

The Pitfalls of Next-token Prediction in Language Models

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Explore the limitations of next-token prediction in AI, examining its challenges in modeling human intelligence and potential solutions beyond this paradigm.
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1 Lesons
58 minutes
On-Demand
Free-Video
Simons Institute

When Calibration Goes Awry: Hallucination in Language Models

0 rewiews
Explore the phenomenon of hallucinations in language models, their connection to calibration, and potential mitigation strategies in this insightful talk by Adam Kalai from OpenAI.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Simons Institute

LLM Metacognition: Understanding and Leveraging "Thinking about Thinking"

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Explore LLM metacognition and its impact on AI capabilities. Gain insights into how large language models demonstrate deeper understanding and reasoning about their own skills and learning processes.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Simons Institute

Generalization from the Behavioral Perspective

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Dive into the behavioral perspective of generalization, exploring emerging settings and their implications in machine learning and data analysis.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Institute for Advanced Study

Is Optimization the Right Language to Understand Deep Learning? - Sanjeev Arora

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Explore deep learning optimization, generalization, and neural tangent kernels with Sanjeev Arora. Gain insights into training wide networks and matrix completion techniques.
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16 Lesons
33 minutes
On-Demand
Free-Video
Design Cuts

Generalization vs. Specialization as a Graphic Designer With Chris Do

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Explore the debate between generalization and specialization in graphic design with Emmy-winning designer Chris Do, gaining insights on positioning, expertise, and career strategies.
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29 Lesons
1 hour 11 minutes
On-Demand
Free-Video
IMSA

Machine Learning from a Stability Point of View

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Explore machine learning through a stability lens, examining how mathematical principles enhance algorithm robustness and reliability in real-world applications.
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1 Lesons
51 minutes
On-Demand
Free-Video
TEDx

The Value of Generalizing in Cybersecurity Careers

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Explore the benefits of a generalist approach in cybersecurity, covering evolving threats, essential skills, and AI's impact. Gain insights from an experienced professional on navigating this dynamic field.
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1 Lesons
15 minutes
On-Demand
Free-Video
Montreal Robotics

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

0 rewiews
Explore vision-language-action models for robotic control, enhancing generalization and semantic reasoning through Internet-scale data integration and end-to-end training.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Montreal Robotics

A General-Purpose Robotic Navigation Model

0 rewiews
Explore advancements in general-purpose robotic navigation models, including data sharing across robots, generalization capabilities, and applications like kilometer-scale navigation and open-vocabulary instruction following.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Montreal Robotics

Foundational Models for Robot Control

0 rewiews
Explore recent advancements in using large pretrained networks for robot control, from basic concepts to practical applications in robotics research.
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1 Lesons
1 hour 39 minutes
On-Demand
Free-Video
Montreal Robotics

Building Adaptable Generalist Robots

0 rewiews
Explore cutting-edge approaches for building adaptable generalist robots, focusing on in-context learning, unsupervised reinforcement learning, and leveraging foundation models for improved generalization and task versatility.
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1 Lesons
48 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Gunnar Carlsson - Topological Deep Learning

0 rewiews
Explore TDA-inspired approaches to deep learning, addressing issues like data hunger and generalization. Discover topological methods for building neural networks and analyzing weight spaces across various datasets.
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28 Lesons
52 minutes
On-Demand
Free-Video
Institute for Mathematical Sciences

Beating the Odds - Learning or Hallucinating? The Science of Data Today

0 rewiews
Explore the intersection of data science, learning, and hallucination with insights from a renowned mathematician on current trends and challenges in the field.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Michael Penn

Generalizing a Calculus 2 Integral

0 rewiews
Explore a generalized approach to solving a complex Calculus 2 integral, enhancing your problem-solving skills and deepening your understanding of advanced integration techniques.
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1 Lesons
18 minutes
On-Demand
Free-Video
Simons Institute

Learning Probability Distributions: What Can and Can't Be Done

0 rewiews
Explore statistical learning, focusing on guaranteed generalizations from finite samples and characterizing learnable distribution families. Gain insights into modern paradigms in generalization.
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1 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Michael Penn

Generalizing the Internet's Favorite Integral

0 rewiews
Explore a mathematical journey generalizing a popular integral, delving into advanced techniques and uncovering surprising connections in calculus and analysis.
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1 Lesons
15 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

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

0 rewiews
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
MICDE University of Michigan

Next-generation Frameworks for AI and Science, and Trust - Lecture 8

0 rewiews
Explore next-gen AI frameworks in science, examining their potential benefits, safety concerns, and trust mechanisms through recent advancements and scientific applications.
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1 Lesons
33 minutes
On-Demand
Free-Video
CodeHelp - by Babbar

Transform ER Model to Relational Model - ER-Diagram to Tables

0 rewiews
Learn to convert ER models to relational models, covering entity types, attributes, relationships, and practical examples like Facebook's schema. Gain essential database design skills.
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8 Lesons
34 minutes
On-Demand
Free-Video
Discover AI

Understanding Grokking - A New Performance Phase in Large Language Models

0 rewiews
Discover how extended training of LLMs leads to "grokking" - a breakthrough phase where models develop superior generalization abilities and form geometric patterns in embedding spaces.
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1 Lesons
30 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Meta-Learning Dynamics Forecasting Using Task Inference

0 rewiews
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
Simons Institute

Overview of Statistical Learning Theory - Part 2

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Explore fundamental concepts in statistical learning theory, including capacity control, generalization, and optimization techniques. Gain insights into classic theory and modern applications.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Simons Institute

Measures of Relatedness in Domain Adaptation and Related Problems

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Explore unstructured distribution shifts, discrepancy measures, and adaptation techniques in domain adaptation and transfer learning settings.
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1 Lesons
1 hour 15 minutes
On-Demand
Free-Video
Simons Institute

Overview of Statistical Learning Theory - Part 1

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Explore fundamental concepts of statistical learning theory, including capacity control, generalization, and optimization techniques. Gain insights into classic theories and their relevance to modern machine learning paradigms.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Simons Institute

Reconsidering Overfitting in the Age of Overparameterized Models

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Explore modern machine learning paradigms, focusing on overparameterized models' ability to generalize well despite near-zero training error, challenging classical overfitting concepts.
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1 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Yannic Kilcher

Training More Effective Learned Optimizers, and Using Them to Train Themselves - Paper Explained

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Explores a novel approach to machine learning optimization using neural networks, discussing its architecture, training process, and potential to revolutionize model training through self-improvement and generalization.
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15 Lesons
54 minutes
On-Demand
Free-Video
Yannic Kilcher

Author Interview - ACCEL- Evolving Curricula with Regret-Based Environment Design

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Explore ACCEL, a novel approach combining regret-based sampling and level-editing for training robust AI agents. Learn about curriculum generation, minimax regret, and the future of reinforcement learning.
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15 Lesons
58 minutes
On-Demand
Free-Video
ICTP Mathematics

Markov Partition for Hyperbolic Systems with Singularities - ICTP 2021

0 rewiews
Explore Markov partitions in hyperbolic systems with singularities, covering scatters, collision maps, uniform hyperbolicity, and SRB measures. Gain insights into advanced mathematical concepts and their applications.
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16 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Simons Institute

An Observation on Generalization

0 rewiews
Explore insights on generalization in large language models and transformers with OpenAI's Ilya Sutskever, delving into the capabilities and implications of advanced AI systems.
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1 Lesons
57 minutes
On-Demand
Free-Video
Pinecone

LLMs- Consider Hallucinatory Unless Proven Otherwise

0 rewiews
Explore strategies for reducing hallucinations in LLMs, including RAG, feedback functions, and query planning, to enhance AI reliability and performance.
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9 Lesons
22 minutes
On-Demand
Free-Video
Yannic Kilcher

Grokking - Generalization Beyond Overfitting on Small Algorithmic Datasets

0 rewiews
Explore the fascinating "grokking" phenomenon in neural networks, where sudden pattern recognition leads to perfect generalization. Discover its implications for deep learning and algorithmic datasets.
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11 Lesons
30 minutes
On-Demand
Free-Video
Yannic Kilcher

Reinforcement Learning with Augmented Data

0 rewiews
Explore how data augmentation enhances reinforcement learning algorithms, improving efficiency and generalization across visual observation tasks without modifying core RL methods.
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1 Lesons
22 minutes
On-Demand
Free-Video
CodeHelp - by Babbar

Extended ER Features - Abstraction in ER Model

0 rewiews
Explore extended ER features and abstraction in ER modeling, covering specialization, generalization, inheritance, and aggregation concepts for enhanced database design.
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8 Lesons
31 minutes
On-Demand
Free-Video
Simons Institute

Reinforcement Learning - Part I

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Explore reinforcement learning fundamentals, including credit assignment, dynamic programming, and exploration algorithms. Gain insights into algorithm design and sample complexity in this comprehensive introduction.
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18 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Simons Institute

Analyzing Optimization and Generalization in Deep Learning via Dynamics of Gradient Descent

0 rewiews
Explore deep learning optimization and generalization through gradient descent dynamics, focusing on implicit preconditioning and its impact on matrix completion problems.
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19 Lesons
44 minutes
On-Demand
Free-Video
Simons Institute

Batch Offline Reinforcement Learning - Part 1

0 rewiews
Explore offline reinforcement learning theory, covering key concepts, challenges, and evaluation methods for developing AI systems using pre-collected data.
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18 Lesons
59 minutes
On-Demand
Free-Video
Simons Institute

Generalization II

0 rewiews
Explore advanced concepts in deep learning, including random averages, losses, and network architectures, with experts from UC Berkeley and MIT.
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9 Lesons
1 hour 23 minutes
On-Demand
Free-Video
Simons Institute

On the Foundations of Deep Learning - SGD, Overparametrization, and Generalization

0 rewiews
Explore foundations of deep learning, focusing on SGD, overparametrization, and generalization. Delve into optimization dynamics, margin theory, and the impact of network architecture on performance.
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27 Lesons
46 minutes
On-Demand
Free-Video
Simons Institute

Generalization I

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Explore deep learning generalization with experts Peter Bartlett and Sasha Rakhlin, covering perceptron algorithms and key concepts in machine learning theory.
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5 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Simons Institute

Training on the Test Set and Other Heresies

0 rewiews
Explore unconventional approaches to machine learning, challenging traditional wisdom on generalization, model size, and dataset usage in deep learning research.
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22 Lesons
50 minutes
On-Demand
Free-Video
International Mathematical Union

The Mathematics of Artificial Intelligence

0 rewiews
Explore the mathematical foundations of AI, its impact on problem-solving in mathematics, and the challenges in developing reliable AI systems. Gain insights into generalization, explainability, and AI applications in inverse problems and PDEs.
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33 Lesons
45 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Toward Theoretical Understanding of Deep Learning - Lecture 2

0 rewiews
Explores theoretical aspects of deep learning, including overparameterization, optimization, generalization, and generative models, offering insights for researchers and practitioners in machine learning.
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42 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Simons Institute

Generalization and Robustness in Offline Reinforcement Learning

0 rewiews
Explore offline reinforcement learning for safety-critical applications, covering generalization, robustness, and imitation learning in large-scale settings with rich function approximation.
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19 Lesons
54 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Reasoning Algorithmically- From Toy Experiments to AGI Modules

0 rewiews
Explore neural networks' potential in algorithmic computation, from toy experiments to groundbreaking applications in mathematics and AI reasoning, with insights on their transformative impact on machine learning and computer science.
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1 Lesons
52 minutes
On-Demand
Free-Video
Simons Institute

Geometry, Optimization and Generalization in Multilayer Networks

0 rewiews
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

Analyzing Optimization and Generalization in Deep Learning via Trajectories of Gradient Descent

0 rewiews
Explore deep learning optimization and generalization through gradient descent trajectories, uncovering insights into neural network behavior and performance.
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1 Lesons
46 minutes
On-Demand
Free-Video
MITCBMM

FMRI Bootcamp - Classification

0 rewiews
Explore fMRI classification analysis techniques, including training vs testing, generalization, and hierarchical logic, with insights on visual stream processing.
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11 Lesons
35 minutes
On-Demand
Free-Video
Andreas Geiger

DALI 2018 - Andreas Geiger: How to Satisfy the Thirst for Data

0 rewiews
Explore innovative approaches to address data scarcity in computer vision, including specialized architectures, soft constraints, self-supervision, and label transfer techniques.
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9 Lesons
21 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Understanding Quantum Machine Learning Also Requires Rethinking Generalization

0 rewiews
Explores challenges in understanding generalization in quantum machine learning, revealing limitations of traditional approaches and the need for new paradigms in model design and evaluation.
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1 Lesons
44 minutes
On-Demand
Free-Video
Paul G. Allen School

Learning from Multiple Data Sources

0 rewiews
Explore multi-source data learning strategies and their implications for machine learning algorithms, focusing on challenges and potential solutions in diverse data environments.
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1 Lesons
54 minutes
On-Demand
Free-Video
Paul G. Allen School

Do ImageNet Classifiers Generalize to ImageNet? - Analyzing ML Progress and Challenges

0 rewiews
Analyzing ImageNet classifiers' generalization, exploring overfitting and distribution shift in ML benchmarks, and addressing robustness issues like adversarial examples to improve machine learning reliability.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Paul G. Allen School

Provably Secure Machine Learning Algorithms - Designing Reliable AI Systems

0 rewiews
Exploring vulnerabilities in machine learning systems and developing provably secure algorithms to defend against statistical attacks in high-dimensional settings and non-convex models.
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1 Lesons
59 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Normalization Effects on Neural Networks: Generalization and High-Dimensional Applications - SIAM FME Talk

0 rewiews
Exploring neural network performance, normalization effects, and high-dimensional PDE solving using deep learning. Insights on generalization properties and applications in mathematical finance.
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1 Lesons
57 minutes
On-Demand
Free-Video
IMSA

Exact and Approximate Symmetries in Machine Learning Models

0 rewiews
Explore exact and approximate symmetries in machine learning models, examining their impact on model performance and interpretability. Gain insights into leveraging symmetries for more efficient and robust AI systems.
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1 Lesons
58 minutes
On-Demand
Free-Video
Simons Institute

Large ML Potentials for Chemistry - Generalization, Inductive Biases, and Error Cancellation

0 rewiews
Explore machine learning potentials in chemistry, focusing on generalization, inductive biases, and error cancellation techniques for improved accuracy and efficiency.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Paul G. Allen School

Bridging State and Action: Towards Continual Reinforcement Learning - 2023 Fall Robotics Colloquium

0 rewiews
Explore AI systems that learn to represent knowledge, plan, and adapt through reinforcement learning. Discover a framework for efficient reasoning using affordances and temporally abstract partial models.
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1 Lesons
50 minutes
On-Demand
Free-Video
Paul G. Allen School

Bridging State and Action: Towards Continual Reinforcement Learning - 2023 Fall Robotics Colloquium

0 rewiews
Explore AI systems that learn to represent knowledge, plan, and adapt through reinforcement learning. Discover a framework for efficient reasoning using affordances and temporally abstract partial models.
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1 Lesons
53 minutes
On-Demand
Free-Video
Valence Labs

Approximately Piecewise E(3) Equivariant Point Networks

0 rewiews
Explore APEN: a framework for approximate piecewise-E(3) equivariant point networks, improving generalization in part-based symmetry tasks like room scene analysis and human motion recognition.
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6 Lesons
1 hour 28 minutes
On-Demand
Free-Video
Valence Labs

Generalization in Diffusion Models from Geometry-Adaptive Harmonic Representation

0 rewiews
Explore generalization in diffusion models through geometry-adaptive harmonic representation. Analyze denoising DNNs, score functions, and inductive biases to understand high-dimensional density learning and optimal basis adaptation.
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6 Lesons
1 hour 35 minutes
On-Demand
Free-Video
Valence Labs

Pre-training via Denoising for Molecular Property Prediction

0 rewiews
Explore pre-training via denoising for molecular property prediction, learning force fields from equilibrium structures to improve generalization and achieve state-of-the-art results on QM9 dataset.
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13 Lesons
1 hour 2 minutes
On-Demand
Free-Video
IEEE

Parallel Reachability in Almost Linear Work and Square Root Depth

0 rewiews
Explore efficient parallel algorithms for graph reachability, focusing on distributed computing and improved runtime complexity in large-scale networks.
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16 Lesons
22 minutes
On-Demand
Free-Video
Devoxx

A Practical Introduction to Convnets for Image Classification

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Practical guide to developing CNN-based image classification pipelines, covering dataset handling, architecture design, training, and evaluation. Explores real-world applications in robotics and biomedicine.
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1 Lesons
51 minutes
On-Demand
Free-Video
Joint Mathematics Meetings

Alternate Minimization and Scaling Algorithms - Theory, Applications and Connections Across Mathematics and Computer Science

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Explore alternate minimization and scaling algorithms, their applications, and connections across mathematics and computer science with Avi Wigderson's in-depth lecture.
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14 Lesons
52 minutes
On-Demand
Free-Video
Strange Loop Conference

Level Up Your Machine Learning Lifecycle

0 rewiews
Discover a scalable ML lifecycle framework that simplifies end-to-end projects, reduces development time, and enhances code quality through modular design across data, model, and deployment stages.
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1 Lesons
35 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Where Does Negative Transfer Come From? On the Implicit Bias of SGD in Multi-Task Learning

0 rewiews
Explore negative transfer in multi-task learning, examining task conflict, optimization temperature, and SGD's implicit bias. Gain insights into generalization challenges in neural networks.
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1 Lesons
29 minutes
On-Demand
Free-Video
Conference GSI

Can Generalized Divergences Help for Invariant Neural Networks?

0 rewiews
Explore the potential of generalised divergences in enhancing invariant neural networks, examining their impact on network performance and robustness.
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1 Lesons
21 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Human-in-the-Loop Mixup: Aligning Synthetic Data with Human Perception - Oral Session 2

0 rewiews
Explore human-aligned synthetic data in machine learning, focusing on mixup regularization. Discover how perceptual judgments and uncertainties can enhance model reliability and generalization.
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1 Lesons
26 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

MixupE: Understanding and Improving Mixup from Directional Derivative Perspective - Oral Session 1

0 rewiews
Explore MixupE, an improved data augmentation technique for deep neural networks. Gain insights into its theoretical foundations and practical applications across various domains.
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1 Lesons
28 minutes
On-Demand
Free-Video
VinAI

Challenges in Aligning Language Models

0 rewiews
Explore challenges in aligning language models with developer intent. Analyze finetuning's impact on truthfulness and feedback-tuned models' effects on co-writing applications.
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1 Lesons
26 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Informative Example Selection for In-Context Learning

0 rewiews
Explore efficient approaches for selecting informative examples in In-Context Learning, enhancing large language model performance without additional training.
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1 Lesons
59 minutes
On-Demand
Free-Video
UofU Data Science

Introduction to Machine Learning - Lecture 1

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Discover the foundational concepts of machine learning, exploring its core principles, learning protocols, and real-world applications in this introductory lecture.
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11 Lesons
59 minutes
On-Demand
Free-Video
Institut des Hautes Etudes Scientifiques (IHES)

Early Alignment in Two-Layer Networks Training: A Two-Edged Sword

0 rewiews
Explore early alignment in two-layer network training, examining its dual nature as both beneficial and potentially problematic for neural network performance.
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1 Lesons
52 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Overfitting: Benign, Tempered and Harmful - Lecture on Machine Learning Regularization

0 rewiews
Explore the nuanced understanding of overfitting in neural networks, examining benign, tempered, and harmful effects on model performance based on data properties and training conditions.
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1 Lesons
51 minutes
On-Demand
Free-Video
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Reliable AI: Successes, Challenges, and Limitations

0 rewiews
Explore mathematical approaches to reliable AI, including generalization guarantees, explainability, and applications in imaging and physics, while discussing limitations and connections to novel computing.
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1 Lesons
52 minutes
On-Demand
Free-Video
Institut des Hautes Etudes Scientifiques (IHES)

Reliable AI: From Applied Harmonic Analysis to Quantum Computing

0 rewiews
Explore reliable AI through generalization in graph neural networks and explainability using applied harmonic analysis. Delve into limitations of digital hardware and connections to quantum computing.
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28 Lesons
34 minutes
On-Demand
Free-Video
VinAI

Mehler's Formula, Branching Processes, and Compositional Kernels of Deep Neural Networks

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Explore deep neural networks through compositional kernels and branching processes. Gain insights into activation functions, network limits, and memorization capacity. Learn about eigenvalues and a new random features algorithm.
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1 Lesons
53 minutes
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Free-Video
Applied Algebraic Topology Network

Metric Space Magnitude and Generalization in Neural Networks

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Exploring metric space magnitude in neural networks: new topological complexity measures for assessing generalization capabilities, with applications to transformers and deep graph networks.
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1 Lesons
47 minutes
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VinAI

Deep Learning with Noisy Labels

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Explore techniques for training deep learning models with noisy labels, addressing challenges in data collection and annotation across various domains, including medical imaging.
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1 Lesons
1 hour 8 minutes
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Simons Institute

Modern Paradigms of Generalization - The Heliocentric Model of Aristarchus

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Explore modern generalization paradigms and historical scientific models in this insightful lecture on machine learning theory and its historical parallels.
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1 Lesons
1 hour 10 minutes
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Simons Institute

The Elusive Generalization: Classical Bounds to Double Descent to Grokking

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Explore the evolution of generalization in machine learning, from classical bounds to double descent and grokking, challenging traditional assumptions and practices in the field.
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1 Lesons
1 hour 20 minutes
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Free-Video
Simons Institute

A Theory of Multi-objective Machine Learning

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Explore multi-objective learning as a unifying paradigm for robustness, collaboration, and fairness in machine learning, with technical tools and empirical evidence.
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1 Lesons
1 hour 11 minutes
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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
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Georgia Tech Research

In Search of Invariance in Brains and Machines

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Explore mathematical frameworks for robust AI perception, focusing on Lie theory to model hierarchical structures and transformations in real-world object recognition.
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1 Lesons
1 hour 4 minutes
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Free-Video