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- Distributed Storage of Symbolic Values
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Classroom Contents
Linear Transformers Are Secretly Fast Weight Memory Systems - Machine Learning Paper Explained
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- 1 - Intro & Overview
- 2 - Fast Weight Systems
- 3 - Distributed Storage of Symbolic Values
- 4 - Autoregressive Attention Mechanisms
- 5 - Connecting Fast Weights to Attention Mechanism
- 6 - Softmax as a Kernel Method Performer
- 7 - Linear Attention as Fast Weights
- 8 - Capacity Limitations of Linear Attention
- 9 - Synthetic Data Experimental Setup
- 10 - Improving the Update Rule
- 11 - Deterministic Parameter-Free Projection DPFP Kernel
- 12 - Experimental Results
- 13 - Conclusion & Comments
