Difference between revisions of "Winter 2021 CS291A Syllabus"

Revision as of 02:47, 1 January 2021

• 01/4 Introduction, logistics, and deep learning.
• 01/6 Tips for a successful class project
• 01/11 Neural network basics, & backpropagation
• 01/13 Word embeddings (Project proposal due submission link, HW1 out)
  • Enriching Word Vectors with Subword Information
  • Contextual String Embeddings for Sequence Labeling
  • GloVe: Global Vectors for Word Representation
• 01/18 University Holiday: Martin Luther King Jr. Day
• 01/20 RNNs
  • Recurrent neural network based language model
• 01/25 LSTMs/GRUs
  • Deep contextualized word representations
• 01/27 Sequence-to-sequence models
• 02/1 Convolutional Neural Networks (HW1 due and HW2 out)
  • Improved protein structure prediction using potentials from deep learning
• 02/3 Attention mechanisms
• 02/8 Transformer and BERT (Mid-term report due submission link)
• 02/10 BERT (continued)
• 02/15 University Holiday: Presidents' Day
• 02/17 Language and vision
  • An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• 02/22 Deep Reinforcement Learning 1 (HW2 due: 02/26 Monday 11:59pm)
• 02/24 Deep Reinforcement Learning 2
  • Causal Discovery with Reinforcement Learning
  • Grandmaster level in StarCraft II using multi-agent reinforcement learning
  • Mastering Atari, Go, chess and shogi by planning with a learned model
• 03/1 Generative Adversarial Networks
  • Towards Principled Methods for Training Generative Adversarial Networks
  • Wasserstein GAN
  • Boundary Equilibrium GAN
• 03/3 Project: final presentation (1)
• 03/8 Project: final presentation (2)
• 03/10 Project: final presentation (3)
• 03/19 23:59PM PT Project Final Report Due submission link.