Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dolga, Rares"'
Linear recurrent neural networks, such as State Space Models (SSMs) and Linear Recurrent Units (LRUs), have recently shown state-of-the-art performance on long sequence modelling benchmarks. Despite their success, their empirical performance is not w
Externí odkaz:
http://arxiv.org/abs/2407.07239
Code revert prediction, a specialized form of software defect detection, aims to forecast or predict the likelihood of code changes being reverted or rolled back in software development. This task is very important in practice because by identifying
Externí odkaz:
http://arxiv.org/abs/2403.09507
Log analysis and monitoring are essential aspects in software maintenance and identifying defects. In particular, the temporal nature and vast size of log data leads to an interesting and important research question: How can logs be summarised and mo
Externí odkaz:
http://arxiv.org/abs/2403.08358
The time complexity of the standard attention mechanism in transformers scales quadratically with sequence length. We propose a probabilistic framework for attention, enabling us to derive a novel low-rank linear re-parameterisation of both bidirecti
Externí odkaz:
http://arxiv.org/abs/2402.17512
Fragmentation of production across national boundaries results in global supply chains. To govern effectively in this type of economy requires a combination of public data with private initiatives (from business, banks and NGOs). But basically, there
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80d74bcfd7897c466369ec68d33f2b53