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Schedule & Materials

# Date Topics Assignments Reading List
01 8/30 Intro to NLP, Deep Learning Basics [slides]    
02 9/1 Deep Learning Basics (2) [slides]    
03 9/6 Deep Learning Basics (3), Text Classification, Tokenization [slides]   MNIST, [Socher et al., 2013]
04 9/8 Tokenization (2), Word Embedding [slides] Assignment 1 is up [Sennrich et al., 2015], [Srivastava et al., 2014], [Mikolov et al., 2013]
05 9/13 Recurrent Neural Networks [slides]   Vanishing Gradients and Fancy RNNs, [Hochreiter & Schmidhuber, 1997]
06 9/15 Recurrent Neural Networks (2), Token Classification [slides]   [Rajpurkar et al., 2016]
  9/20 No lecture (Chuseok)    
  9/22 No lecture (Chuseok)    
07 9/27 Token Classification (2), Retrieval [slides]   [Hermann et al., 2015], [Chen et al., 2016], [Wang & Jiang, 2017], [Seo et al., 2017], [Chen et al., 2017]
08 9/29 Retrieval (2) [slides] Assignment 1 is due, Final Project is up faiss, [Malkov & Yashunin, 2016]
  10/4 No lecture (National Foundation Day)    
09 10/6 Text Generation, Encoder-Decoder [slides]   [Cho et al., 2014]
  10/11 No lecture (Hangeul Proclamation Day)    
10 10/13 Attention [slides] Final Project Survey is due. Assignment 2 is up. [Bahdanau et al., 2015], [Luong et al., 2015]
  10/18 No lecture (midterm week)    
  10/20 No lecture (midterm week)    
11 10/25 Transformer [slides]   [Vaswani et al., 2017], Annotated Transformer
12 10/27 Transformer (2) [slides] Assignment 2 is due.  
13 11/1 Language Model, Regularization, Decoding [slides]   [Ioffe & Szgedy 2015], [Ba et al., 2016]
  11/3 Pre-BERT Paper Discussion [instructions]    
         
14 11/8 Transfer Learning, Pretrained Language Model [slides] Assignment 3 is up. [Min et al., 2017], [Peters et al., 2018], [Howard & Ruder, 2018], [Radford et al., 2018]
  11/10 No lecture (EMNLP)    
15 11/15 BERT [slides]   [Devlin et al., 2018], [Yang et al., 2019], [Liu et al., 2019], BERT Slides
16 11/17 Hugging Face and Final Project Tutorial [slides]   transformers Tutorial
  11/22 No lecture Assignment 3 is due, Assignment 4 is up.  
17 11/24 Pretraining for Generation [slides]   [Radford et al., 2019], [Lewis et al., 2020a], [Raffel et al., 2020], [Roberts et al., 2020], [Lewis et al., 2020b]
18 11/29 Scaling Laws, In-Context Learning [slides]   [Kaplan et al., 2020], [Brown et al., 2020], [Ramesh et al., 2021]
  12/1 Post-BERT Paper Discussion [instructions]    
  12/6 Final Project Presentation Assignment 4 is due.  
  12/8 Final Project Presentation    
  12/13 No lecture (finals week)    
  12/15 No lecture (finals week) Final Project Report is due