Generally Intelligent

Sarah Jane Hong, Latent Space: Neural rendering & research process

Jan 7, 2021
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Episode notes
1
Introduction
00:00 • 2min
2
How Did You Initially Get Into Research?
01:32 • 3min
3
How to Read a Paper
05:00 • 3min
4
I'm Not Enough in the Weeds
08:30 • 2min
5
How Have You Improved Your Efficacy as a Researcher?
10:18 • 3min
6
Staccastic Spatial Networks for Low Block Distortion
13:19 • 2min
7
The Simple Version of the Algorithm
15:25 • 3min
8
Transfer Learning Is Really Good for Fast Iteration Time
18:33 • 4min
9
Latent Resolution in a Neural Rendering Environment
22:07 • 2min
10
How Do You Think You Can Generate Wolverine?
24:09 • 3min
11
Machine Learning - Is Scaling a Good Idea?
26:44 • 2min
12
Using Multi Level Transformers Over Elisans?
29:03 • 3min
13
The Future of Visually Grounded Language?
32:19 • 4min