Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...
Abstract: For large-scale multiobjective evolutionary algorithms (LSMOEAs), maintaining algorithmic performance to generate high-quality solutions while continuously increasing the dimensionality of ...
With finals over and done with, I’ve been spending my extra free time doom-scrolling on Instagram Reels. Now that I have more time on my hands, I’ve noticed just how many additions Reels has had in ...
Abstract: Recent research in computer vision has focused on understanding the semantic features of images. To address the spatial orientation relations among water surface targets, which is a ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback