To address these two challenges, we introduce the Sparse Vector Quantized FFN-Free Transformer (Sparse-VQ). Our methodology capitalizes on a sparse vector quantization technique to reduce noise impact ...
This project focuses on lossless compression techniques optimizing space, time, and energy for multiplications between binary (or ternary) matrix formats and real-valued vectors.
and the most common images associated with Christmas are the Christmas tree, gift boxes and Santa Claus. For society at large, there is little significance to these elements and they are generally ...
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