Abstract: The gradient descent bit-flipping with momentum (GDBF-w/M) and probabilistic GDBF-w/M (PGDBF-w/M) algorithms significantly improve the decoding performance of the bit-flipping (BF) algorithm ...
Abstract: The existing Visual-inertial-LiDAR localization methods lack consideration of sensors degradation in challenging scene, such as underground space, where light condition is poor, text feature ...
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
There was an error while loading. Please reload this page.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback