Members of the U.S. Air Force recently spent three days in San Francisco evading capture as part of a large-scale training ...
Abstract: To date, the most promising methods for 8-bit DNN training use two different floating-point formats: a 5-bit ex-ponent for greater range on gradients in the backwards pass, and a 4-bit ...
Abstract: Quantization-Aware Training (QAT) has recently showed a lot of potential for low-bit settings in the context of image classification. Approaches based on QAT are using the Cross Entropy Loss ...
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 ...
BITS Pilani has officially announced the registration dates and complete examination schedule for the Birla Institute of Technology and Science Admission Test (BITSAT) 2026. The application window ...