Find out which GPU is better for AI workflows, from memory bandwidth to software compatibility, in this testing ...

Code search is a vital activity in software engineering, focused on identifying and retrieving the correct code snippets based on a query provided in natural language. Approaches based on deep ...

Considering that the chemical reaction space can be hierarchically organized and the classification labels are freely accessible, we propose a framework called knowledge-induced hierarchical ...

In this paper, we propose a deep collaborative contrastive learning framework for matched single-cell multiomics data clustering, named scMDCL. This framework fully leverages intercell relationships ...

Keywords: contrastive learning, self-supervised learning, neurodegenerative disorders, deep learning, structural magnetic resonance imaging, Alzheimer's disease, frontotemporal lobar degeneration ...

Code search aims to retrieve the code snippet that highly matches the given query described in natural language. Recently, many code pre-training approaches have demonstrated impressive performance on ...

This repository, adapted and mostly unchanged from SimCSE, contains the code and pre-trained models for our ACL 2023 paper Composition-contrastive Learning for Sentence Embeddings. TLDR; a new ...