Meeting #1

Friday, 2/11/2022

Table of Contents

1. Agenda
2. Meeting Slides and AGI
3. Neuroscience in I2
4. Neural Networks as Minds
   1. Links to Papers and Resources from Andre’s Presentation

Agenda

1. Introduction to I2’s purpose and goals
2. Member ice breakers - name, major, life goals/dreams, relevant experiences, good vs. evil
3. AGI Presentation by Chaytan
4. Discussion questions and brainstorming
5. Neuroscience Presentation by Janna
6. Neural Networks Presentation by Andre
7. More brainstorming & wrap-up

Meeting Slides and AGI

Link: “Interactive Intelligence”

Neuroscience in I2

Janna’s Neuroscience Slides: “Neuroscience in I2”

Neural Networks as Minds

Andre’s Neural Networks Slides: “Neural Networks as Minds”

Links to Papers and Resources from Andre’s Presentation

• Perceptrons, Minsky-Papert
• Backpropagation, Wikipedia
• Transfer Learning, Wikipedia
• BERT, Devlin et al (self-supervised pretraining)
• Unsupervised Representation Learning by Predicting Image Rotations, Gidaris et al (self-supervised pretraining)
• Unsupervised Visual Representation Learning by Context Prediction, Doersch et al (self-supervised pretraining)
• Siamese Networks, Koch et al (few-shot learning)
• Natural Language Descriptions of Deep Visual Features, Hernandez et al (NN interpretability)
• Efficient Neural Architecture Search, Pham et al (NAS)
• Robust Out-of-distribution Detection for Neural Networks, Chen et al (OOD Detection)
• MUTAN: Multimodal Tucker Fusion for Visual Question Answering, Ben-younes et al (multimodal learning)