Deep Learning For Natural Language Processing
EE-608
Recordings of Lectures and Exercises
Description
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
Lecture 10 - Question Answering and Analysis
29.11.2023, 11:58
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
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 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
Lecture 10 - Question Answering and Analysis
29.11.2023, 11:58
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
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 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