Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable

痛得哭了

Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeoff ASR models, our recipe provides 2.5%–3.7% and 3.1%–4.6% CER reduction on the AISHELL-1 and AISHELL-2, respectively (The code and sampled unaugmented training sets used in this paper will be public available on GitHub).

Fraudulent

Leveraging Two-Scale Features to Enhance Fine-Grained Object Retrievalconstruct an embedding based on features from these two layers respectively. When testing, we concatenate these two embeddings to get a more discriminative embedding for retrieval. Additionally, we design a Feature Enhancement Module (FEM) that consists of several common operations, such as layer no

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opportunities and potential risks of organic farming, biochar and bioenergy systems, and their ability to sustain and even enhance soil health, arediscussed..978-3-642-27104-5978-3-642-20256-8Series ISSN 1613-3382 Series E-ISSN 2196-4831

连系

opportunities and potential risks of organic farming, biochar and bioenergy systems, and their ability to sustain and even enhance soil health, arediscussed..978-3-642-27104-5978-3-642-20256-8Series ISSN 1613-3382 Series E-ISSN 2196-4831

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FIN

Kaishen Wang,Jingqing Ruan,Qingyang Zhang,Dengpeng Xing

Fulsome

溺爱

Zhaoyi Liu,Yuanbo Hou,Haoyu Tang,Álvaro López-Chilet,Sam Michiels,Dick Botteldooren,Jon Ander Gómez,

indubitable

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