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Journal of machine learning research, 2008, 9(Nov): 2579-2605. DBM模型Salakhutdinov R, Hinton G. Deep boltzmann machines[C]//Artificial intelligence and statistics. 2009: 448-455. ReLU激活函数的使用Nair V, Hinton G E. Rectified linear units improve restricted boltzmann machines[C]//...
This section begins with an analysis of the difference between numerical and image inputs in terms of fairness. This is followed by the various problem settings and contexts in which research on these methods has been presented. Our discussions cover both data inputs and deep learning technologies...
Anatomy-specific automated segmentation tools for ankle, CMF, heart, hip, knee, shoulder, and spine data using Machine Learning (ML) algorithms, and automatically identifies common key landmarks. More Information SURFACE TOOLS Working with Computer-Aided Design (CAD) Import and interactive posi...
Recent advances in image tokenizers, such as VQ-VAE, have enabled text-to-image generation using auto-regressive methods, similar to language modeling. However, these methods have yet to leverage pre-trained language models, despite their adaptability to various downstream tasks. In this work, we...
Semi-supervised learning allows us to enhance model performance using unlabeled data. Semi-supervised learning can improve performance by using both labeled and unlabeled data and has been widely studied in fields such as computer vision (Wei et al., 2018; Li et al., 2021; Zhang et al., 202...
[11] M. Chen, A. Radford, R. Child, J. Wu, H. Jun, D. Luan, and I. Sutskever, “Generative pretraining from pixels,” in Proceedings of the 37th International Conference on Machine Learning, H. D. III and A. Singh, Eds., ser. Proceedings of Machine Learning Research, vol. 119...
Mathematical modeling of the interaction with immediate boss The upper levels set the rules and laws for employees within the centralized structure and subordinates follow their immediate boss. By the assumption that each immediate boss is a parent node of its children, thus we can model this behav...
Sign Language Recognition is a breakthrough for communication among deaf-mute society and has been a critical research topic for years. Although some of the previous studies have successfully recognized sign language, it requires many costly instruments including sensors, devices, and high-end processin...
[ViT-VQGAN] Vector-quantized Image Modeling with Improved VQGAN Jiahui Yu, Xin Li, Jing Yu Koh, Han Zhang, Ruoming Pang, James Qin, Alexander Ku, Yuanzhong Xu, Jason Baldridge, Yonghui Wu arxiv 2021 [Paper] [PeCo] PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers ...