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IAML2.24: How to represent structured objects in machine learning (Victor Lavrenko) View | |
IAML2.13: Representing handwritten digits (Victor Lavrenko) View | |
IAML2.10: Skewed and non-monotonic attributes (Victor Lavrenko) View | |
SinGAN: Learning a Generative Model from a Single Natural Image (Yannic Kilcher) View | |
Decoding for Structured Prediction (Jordan Boyd-Graber) View | |
IAML2.22: Classification accuracy and imbalanced classes (Victor Lavrenko) View | |
Introduction to Discriminative Model by Jason Fries (Mobilize Center) View | |
Instructor - Structured LLM Outputs - Hands on Demo (Fahd Mirza) View | |
Theory of (mostly) unsupervised, (mostly) deep machine learning (Machine Learning Department at CMU) View | |
Machine Learning: Lecture 24b: Discriminative and Generative models (UofU Data Science) View |