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#KL Divergence

Showing: 11 courses
University of Central Florida

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

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

Private Convex Optimization via Exponential Mechanism - Differential Privacy for Machine Learning

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Explore private convex optimization using the exponential mechanism. Learn differential privacy, noisy SGD, and isoperimetric inequality for ML applications.
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21 Lesons
53 minutes
On-Demand
Free-Video
HuggingFace

Reinforcement Learning from Human Feedback - From Zero to ChatGPT

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Explore Reinforcement Learning from Human Feedback, its role in ChatGPT, and key concepts in NLP and RL. Gain insights into RLHF's technical aspects and open research areas.
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30 Lesons
1 hour 1 minute
On-Demand
Free-Video
Graham Neubig

CMU Neural Nets for NLP - Models with Latent Random Variables

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Explore neural network models with latent random variables for NLP, covering VAEs, generative models, and techniques for discrete latent variables and controllable text generation.
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24 Lesons
1 hour
On-Demand
Free-Video
Paul Hand

Variational Autoencoders

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Explore generative models, autoencoders, and variational techniques in deep learning. Learn about architecture, optimization, and practical applications of variational autoencoders.
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16 Lesons
43 minutes
On-Demand
Free-Video
Ryan O'Donnell

Quantum "Supremacy" - Lecture 25 of Quantum Computation at CMU

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Explore quantum supremacy, its challenges, and implications in computational theory. Delve into error correction, threshold theorems, and the potential of quantum systems.
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14 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Chemometrics & Machine Learning in Copenhagen

Generalized Tensor Decomposition - Utility for Data Analysis

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Explore tensor decomposition methods beyond sum of squares error, including KL divergence and logistic odds, for improved data analysis in various fields like criminology and neuroscience.
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19 Lesons
57 minutes
On-Demand
Free-Video
Serrano.Academy

Direct Preference Optimization - Fine-Tuning LLMs Without Reinforcement Learning

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Explore Direct Preference Optimization (DPO), an efficient method for training Large Language Models without reinforcement learning. Learn about the Bradley-Terry model, KL divergence, and loss function.
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6 Lesons
21 minutes
On-Demand
Free-Video
Simons Institute

Distribution Learning Meets Graph Structure Sampling

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Explore the connection between PAC-learning of graphical models and efficient graph structure sampling, leveraging online learning algorithms for new insights in high-dimensional distribution learning.
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1 Lesons
27 minutes
On-Demand
Free-Video
Serrano.Academy

What Is Quantum Machine Learning?

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Friendly introduction to quantum computing and machine learning, covering qubits, quantum gates, entanglement, and their applications in generative modeling and optimization.
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13 Lesons
52 minutes
On-Demand
Free-Video
Trelis Research

Distillation of Transformer Models - Tutorial and Code Walk-through

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Learn advanced techniques for distilling transformer models, including pruning, fine-tuning, and performance evaluation. Gain practical insights through code walkthroughs and real-world examples.
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33 Lesons
1 hour 21 minutes
On-Demand
Free-Video