Index - Advanced Machine Learning

Info about the Document

Author: Domiziano Scarcelli Course: Advanced Machine Learning (2023-2024) Sources: Prof. Galasso Slides and Lectures, along with papers relative to each subject.

Disclaimer: the notes may not be complete or correct, so take them as a reference and not as the only material for your study.

Table of Contents

• Convolutional Neural Networks
• Activation Functions
• Regularization
  • Dropout
• Hyperparameter tuning and Transfer Learning
• Sequence Models
  • Temporal Convolutional Networks (TCN)
  • Recurrent Neural Networks (RNN)
  • Long Short Term Memory (LSTMs)
  • Transformers
  • BERT
  • Examples of Sequence Modelling Problems
• Distillation
• Embodied AI
• Graph Neural Networks
• Pose Forecasting
• Semantic Segmentation
• Object Detection
  • R-CNN
  • Fast R-CNN
  • Faster R-CNN
  • Single Stage Object Detectors
  • 3D Object Detection
• Visual Search
  • Object Search
    • SIFT Descriptor
    • Deep Representations for Visual Search
  • Person Search
  • Semantic Search
• Self-Supervised Learning
  • Contrastive Learning
  • SimCLR
  • MoCo V1 & V2
  • BYOL
  • SimSiam
• Generative Models
• Social Navigation
• Meta-Learning
• Hyperbolic Deep Learning