Deep Learning For Natural Language Processing

EE-608

Recordings of Lectures and Exercises

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Recordings of lectures and exercise sessions are available in the SwitchTube channel.


EE-608 Deep Learning For Natural Language Processing

Lecture 12 prerecording - Diffusion

05.12.2023, 12:43

Lecture 11 - Coreference Resolution

29.11.2023, 12:00

Includes final slides from Lecture 10 - Analysis.

Lecture 10 - Question Answering and Analysis

29.11.2023, 11:58

See Lecture 11 for final slides of Analysis.

Lecture 09 - Prompting and Alignment

15.11.2023, 15:11

Lecture 08 - Natural Language Generation

15.11.2023, 15:07

Lecture 07 - Variational Auto-Encoders and NVIB

01.11.2023, 16:28

Lecture 7 - Variational Auto-Encoders and NVIB.  DLNLP 2023.

Exercise 3 - NLP tools

27.10.2023, 21:55

Exercise 3 - NLP tools.  DLNLP 2023.

Exercise 2 - 04-10-2023

27.10.2023, 21:45

Exercise 2.  DLNLP 2023.

Lecture 05 - Pretraining

27.10.2023, 21:38

Lecture 5 - Pretraining. DLNLP 2023.

Lecture 01, Introduction and Word Embeddings

27.10.2023, 21:17

Lecture 1, Introduction and Word Embeddings. DLNLP 2023.

Lecture 06 - Syntactic Parsing and Graph2Graph Transformers

25.10.2023, 16:17

Lecture 06 - Syntactic Parsing and Graph2Graph Transformers. DLNLP 2023.

Lecture 04 - Transformers

25.10.2023, 16:11

Transformers. DLNLP 2023.

Lecture 03 - Machine Translation, Sequence-to-Sequence, and Attention

25.10.2023, 15:09

Lecture 03 - Machine Translation, Sequence-to-Sequence, and Attention.  DLNLP 2023.

Lecture 02 - Language Modelling and Recurrent Neural Networks

25.10.2023, 14:47

Lecture 02 - Language Modelling and Recurrent Neural Networks.  DLNLP 2023

Exercise session on pitfalls in empirical NLP research

25.11.2021, 15:40

We read 5 papers on pitfalls in NLP research and discuss them in class

Exercise session 4 - Seq2Seq models with and without attention

22.10.2021, 13:25

Exercise session 3 - Training an RNN classifier with mean/max pooling and project proposals

15.10.2021, 13:21

Exercise Session 2, Intro to Pytorch 2, NLP Tools

14.10.2021, 11:12

Introduction to Pytorch 2

NLP Pre-processing

EE-608 Deep Learning For Natural Language Processing

Lecture 12 prerecording - Diffusion

05.12.2023, 12:43

Lecture 11 - Coreference Resolution

29.11.2023, 12:00

Includes final slides from Lecture 10 - Analysis.

Lecture 10 - Question Answering and Analysis

29.11.2023, 11:58

See Lecture 11 for final slides of Analysis.

Lecture 09 - Prompting and Alignment

15.11.2023, 15:11

Lecture 08 - Natural Language Generation

15.11.2023, 15:07

Lecture 07 - Variational Auto-Encoders and NVIB

01.11.2023, 16:28

Lecture 7 - Variational Auto-Encoders and NVIB.  DLNLP 2023.

Exercise 3 - NLP tools

27.10.2023, 21:55

Exercise 3 - NLP tools.  DLNLP 2023.

Exercise 2 - 04-10-2023

27.10.2023, 21:45

Exercise 2.  DLNLP 2023.

Lecture 05 - Pretraining

27.10.2023, 21:38

Lecture 5 - Pretraining. DLNLP 2023.

Lecture 01, Introduction and Word Embeddings

27.10.2023, 21:17

Lecture 1, Introduction and Word Embeddings. DLNLP 2023.

Lecture 06 - Syntactic Parsing and Graph2Graph Transformers

25.10.2023, 16:17

Lecture 06 - Syntactic Parsing and Graph2Graph Transformers. DLNLP 2023.

Lecture 04 - Transformers

25.10.2023, 16:11

Transformers. DLNLP 2023.

Lecture 03 - Machine Translation, Sequence-to-Sequence, and Attention

25.10.2023, 15:09

Lecture 03 - Machine Translation, Sequence-to-Sequence, and Attention.  DLNLP 2023.

Lecture 02 - Language Modelling and Recurrent Neural Networks

25.10.2023, 14:47

Lecture 02 - Language Modelling and Recurrent Neural Networks.  DLNLP 2023

Exercise session on pitfalls in empirical NLP research

25.11.2021, 15:40

We read 5 papers on pitfalls in NLP research and discuss them in class

Exercise session 4 - Seq2Seq models with and without attention

22.10.2021, 13:25

Exercise session 3 - Training an RNN classifier with mean/max pooling and project proposals

15.10.2021, 13:21

Exercise Session 2, Intro to Pytorch 2, NLP Tools

14.10.2021, 11:12

Introduction to Pytorch 2

NLP Pre-processing