running R code inside Python quickly transferring huge datasets between Python (NumPy/pandas/polars) and R without writing to disk interactively working in both languages at the same time ...

Abstract: Large-scale pre-trained models have become common for Automatic Speech Recognition (ASR) tasks. They utilize large-scale, multilingual datasets to learn acoustic features and then are ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Stay ahead of competition by understanding critical connectivity constraints that can impact data center development. Download your copy to discover how GIS helps overcome electricity constraints, ...

Abstract: Deploying federated learning at the wireless edge introduces federated edge learning (FEEL). Given FEEL’s limited communication resources and potential mislabeled data on devices, improper ...

This project investigates token quality from a noisy-label perspective and propose a generic token cleaning pipeline for SFT tasks. Our method filters out uninformative tokens while preserving those ...