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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>COMP 5300: Deep Learning for NLP -- Spring 2024 @ UMass Lowell</title>
<meta name="description" content="">
<meta name="author" content="">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link href="//fonts.googleapis.com/css?family=Raleway:400,300,600" rel="stylesheet" type="text/css">
<link rel="stylesheet" href="css/normalize.css">
<link rel="stylesheet" href="css/skeleton.css">
<link rel="stylesheet" href="css/main.css">
</head>
<body>
<div class="container">
<header class="row">
<h3>COMP 5300: Deep Learning for NLP -- Spring 2024<br/><br/>
<img src="images/logo.png" width="300" height="200">
</h3>
</header>
<div class="row">
<div class="two columns">
<p>
<a class="button-half menu" href="index.html">Home</a>
<a class="button-half menu" href="schedule.html">Schedule</a>
<a class="button-half menu" href="homeworks.html">Homeworks</a>
<br/><br/>
</p>
</div>
<div class="ten columns">
<h3>2023 class schedule</h3>
<p>
This schedule is tentative and subject to change. Please check back here often.
</p>
<table>
<thead>
<tr>
<th>Date</th>
<th>Lecture topic</th>
<th>Slides / Handouts</th>
<th>Homework</th>
</tr>
</thead>
<tbody>
<tr>
<td>1/17</td>
<td>Week 1: Intro to NLP</td>
<td><a href="lectures/lecture1.pdf">Lecture 1</a></td>
<td><a href="https://drive.google.com/file/d/12VyWqB7juZRACi4BuSJVUtQ3oho1igyJ/view?usp=drive_link">Homework #1: Sentiment analysis with logistic regression.</a></td>
</tr>
<tr>
<td>1/24</td>
<td>Week 2: Lexical embeddings</td>
<td><a href="lectures/lecture2.pdf">Lecture 2</a></td>
<td>Homework #1 is due 1/23, midnight EST.<br/>
<a href="https://drive.google.com/file/d/1wlZiRm4zGYnS4IZICOzdrIsOwjXB2m0z/view?usp=drive_link">Homework #2: Word2vec.</a>
</td>
</tr>
<tr>
<td>1/31</td>
<td>Week 3: Neural networks 101</td>
<td><a href="https://docs.google.com/presentation/d/1yGy4j22QhUh_H6_YhuNdlILxbqSeNqpW8YDnNDQg-N4/edit#slide=id.p">Lecture 3</td>
<td>Homework #2 is due 1/30, midnight EST.<br/>
</td>
</tr>
<tr>
<td>2/7</td>
<td>Week 4: Neural networks 201</td>
<td><a href="https://docs.google.com/presentation/d/1udp4keW7nMRbk1qxSNN7iZOTHcuogT6i0RAFr6Lw1u0">Lecture 4</a></td>
<td><a href="https://forms.gle/DSoju13ZH1gQCzBU7">Python code style quiz</a>, due TBA<br/>
<a href="https://drive.google.com/file/d/15DN7FHDQd24DWquCPnM-koMnr2jK94N1/view?usp=drive_link">Homework #3: Neural networks from scratch
</tr>
<tr>
<td>2/14</td>
<td>Week 5: Neural networks 301</br>(activation functions and initializations)</td>
<td><a href="https://docs.google.com/presentation/d/1yEZEEXhq6wkJ_I27dQl-zlajgXOWs9DVAiptUx1BFTo/edit?usp=sharing">Lecture 5</a><br/>
<a href="https://colab.research.google.com/drive/1x_p9s8VAU1WOfvrLcEnBJ39xQFRY_WEi?usp=sharing">Notebook</a></td>
<td></td>
</tr>
<tr>
<td>2/21</td>
<td>Week 6: Attention mechanism</td>
<td><a href="https://docs.google.com/presentation/d/1583fQNYaE_t0Nk24E2vTZrDCDRHrKefUSVf0H8W5owU/edit#slide=id.p">Lecture 6</a></td>
<td></td>
</tr>
<tr>
<td>2/28</td>
<td>Week 7: Sequence-to-sequence models</td>
<td>
<a href="https://docs.google.com/presentation/d/1LJ_eI7P10SphXOZRC6ORxDfXlXAKPl3s53KKW90DgEs/edit?usp=drive_link">Lecture 7 Part 1</a>
<a href="https://docs.google.com/presentation/d/13BpqcCQaUlcgr60a44pNCsyWBPy1mFKCtNoyyPJayfk/edit?usp=drive_link">Lecture 7 Part 2</a>
</td>
<td></td>
</tr>
<tr>
<td>3/6</td>
<td>No class -- Spring recess</td>
<td></td>
<td></td>
</tr>
<tr>
<td>3/13</td>
<td>Week 8: Transfer learning in NLP</td>
<td><a href="https://docs.google.com/presentation/d/1ou0UZ_9_AkRhXOhzIA7v8Sxx2g8MnHEr_taePF_Fvwk/edit#slide=id.p">Lecture 8</a></td>
<td></td>
</tr>
<tr>
<td>3/20</td>
<td>Week 9: Pre-training variants</td>
<td><a href="https://docs.google.com/presentation/d/1qQlNMn_-9W_2johTZHvScR3jJP4-XaOL8BXm1IJRCbQ/edit#slide=id.p">Lecture 9</a></td>
<td></td>
</tr>
<tr>
<td>3/27</td>
<td>Week 10: Effects of scale in NLP</td>
<td><a href="https://docs.google.com/presentation/d/1Go06IuRM6b591wIORoqGP5okADmG2wIRBuHd9uP2Tz4/edit#slide=id.p">Lecture 10</a></td>
<td></td>
</tr>
<tr>
<td>4/3</td>
<td>Week 11: Long context*</td>
<td><a href="https://docs.google.com/presentation/d/19AZr6Jc3RZnsbFjEiqHQXImuXyLjxRTfTFSQ6CfGHeU/edit#slide=id.p">Lecture 11</a></td>
<td></td>
</tr>
<tr>
<td>4/10</td>
<td>Week 12: Alignment*</td>
<td><a href="https://docs.google.com/presentation/d/1bgOL5pzrfxd8ABZxGTRuNOxpMy7b58ytBxOh0cd6eGE/edit#slide=id.p">Lecture 12</a></td>
<td></td>
</tr>
<tr>
<td>4/17</td>
<td>Week 13: Multimodal models*</td>
<td><a href="https://docs.google.com/presentation/d/1lEAS8VaogfMCs8F44uNDzQ6e84aFUzAYxeZN3cxO8tQ/edit#slide=id.p">Lecture 13</a></td>
<td></td>
</tr>
<tr>
<td>4/24</td>
<td>Week 14</td>
<td><a href="">Lecture 14</a></td>
<td></td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</body>
</html>