How I read and annotate ML papers
Talk starts at 05:15
In this live talk, I will share my experience on how to read and annotate ML papers. I will talk about my effective paper reading strategies and how I efficiently distill notes while using different annotation strategies to memorize important concepts. These skills allow me to better stay informed on the latest research ideas in machine learning and NLP.
Видео How I read and annotate ML papers канала Elvis Saravia
In this live talk, I will share my experience on how to read and annotate ML papers. I will talk about my effective paper reading strategies and how I efficiently distill notes while using different annotation strategies to memorize important concepts. These skills allow me to better stay informed on the latest research ideas in machine learning and NLP.
Видео How I read and annotate ML papers канала Elvis Saravia
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Prompt Engineering Overview
How to save the world and forward your career in 5 easy steps | Women in NLP Talks
(Hopefully-Reusable) Life Lessons for PhD Students in NLP
101 ways to solve neural search with Jina
Dive into Deep Learning (Study Group): Modern CNNs | Session 7
Dive into Deep Learning (Study Group): Convolutional Neural Networks | Session 6
Dive into Deep Learning (Study Group): Deep Learning Computation with PyTorch | Session 5
Keep Learning ML #3 | Contrastively Trained Structured World Models
Dive into Deep Learning (Study Group): Multilayer Perceptrons | Session 4
Dive into Deep Learning (Study Group): Linear Neural Networks | Session 3
Keep Learning ML #2 | Language-conditioned policy learning, Effective ML Testing, EagerPy
Dive into Deep Learning (Study Group): Preliminaries | Session 2
Keep Learning ML (Session 1) | DSV, CompLex, Modern tools for emotions
Dive into Deep Learning (Study Group): Introduction to Deep Learning | Session 1
TextAttack: A Framework for Data Augmentation and Adversarial Training in NLP
Building tools and frameworks for large-scale social media mining (by Dr. Juan M. Banda)
Getting Started with NLP
Question Understanding: COVID-Q: 1,600+ Questions about COVID-19
Discriminative Adversarial Search for Abstractive Summarization (by Thomas Scialom)
Sentiment Analysis: Key Milestones, Challenges and New Directions