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pro vyhledávání: '"Oh, Taeil"'
Deploying deep models in real-world scenarios entails a number of challenges, including computational efficiency and real-world (e.g., long-tailed) data distributions. We address the combined challenge of learning long-tailed distributions using high
Externí odkaz:
http://arxiv.org/abs/2404.00285
Autor:
Lee, Seungjun, Oh, Taeil
Solving partial differential equations (PDEs) by learning the solution operators has emerged as an attractive alternative to traditional numerical methods. However, implementing such architectures presents two main challenges: flexibility in handling
Externí odkaz:
http://arxiv.org/abs/2312.10975