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Transformer models using Fixed Patterns
Sparsification of attention matrix by limiting the field of view. Field of view can be fixed , predefined patterns such as local windows and block patterns of fixed strides.
- Blockwise Patterns
- Strided Patterns
- Compressed Patterns
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Data Science
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Transformer models using Combination of Patterns (CP)
Transformer patterns using Learnable patterns
Transformer models using Neural Memory
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Transformer models using Kernels
Transformer models using Recurrence
Transformer models using Downsampling
Transformer models using Sparse Models and Conditional Computation
Learn After
Related
Transformer models using Combination of Patterns (CP)
Transformer patterns using Learnable patterns
Transformer models using Neural Memory
Transformer models using Low-Rank Methods
Transformer models using Kernels
Transformer models using Recurrence
Transformer models using Downsampling
Transformer models using Sparse Models and Conditional Computation