Zobrazeno 1 - 10
of 39 449
pro vyhledávání: '"Model transformation"'
LLM inference for popular enterprise use cases, such as summarization, RAG, and code-generation, typically observes orders of magnitude longer prompt lengths than generation lengths. This characteristic leads to high cost of prefill and increased res
Externí odkaz:
http://arxiv.org/abs/2410.03960
Multiple instance learning (MIL) has emerged as a popular method for classifying histopathology whole slide images (WSIs). Existing approaches typically rely on frozen pre-trained models to extract instance features, neglecting the substantial domain
Externí odkaz:
http://arxiv.org/abs/2403.12537
Mutation testing is an approach to check the robustness of test suites. The program code is slightly changed by mutations to inject errors. A test suite is robust enough if it finds such errors. Tools for mutation testing usually integrate sets of mu
Externí odkaz:
http://arxiv.org/abs/2404.14097
Publikováno v:
MLSys (2024)
Federated learning (FL) aims to train machine learning (ML) models across potentially millions of edge client devices. Yet, training and customizing models for FL clients is notoriously challenging due to the heterogeneity of client data, device capa
Externí odkaz:
http://arxiv.org/abs/2404.13515