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- Model Overview
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Classroom Contents
Dynamic Inference with Neural Interpreters - Interview with the Authors
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- 1 - Intro & Overview
- 2 - Model Overview
- 3 - Interpreter weights and function code
- 4 - Routing data to functions via neural type inference
- 5 - ModLin layers
- 6 - Experiments
- 7 - Interview Start
- 8 - General Model Structure
- 9 - Function code and signature
- 10 - Explaining Modulated Layers
- 11 - A closer look at weight sharing
- 12 - Experimental Results
