Suchergebnisse - "Inference algorithms"

BranchyNet: Fast inference via early exiting from deep neural networks von Teerapittayanon, Surat, McDanel, Bradley, Kung, H. T.

“… Deep neural networks are state of the art methods for many learning tasks due to their ability to extract increasingly better features at each network layer …”
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Toward Causal Representation Learning von Scholkopf, Bernhard, Locatello, Francesco, Bauer, Stefan, Ke, Nan Rosemary, Kalchbrenner, Nal, Goyal, Anirudh, Bengio, Yoshua

“… The two fields of machine learning and graphical causality arose and are developed separately. However, there is, now, cross-pollination and increasing …”
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A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications von Gui, Jie, Sun, Zhenan, Wen, Yonggang, Tao, Dacheng, Ye, Jieping

“… Generative adversarial networks (GANs) have recently become a hot research topic; however, they have been studied since 2014, and a large number of algorithms …”
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Edge Intelligence: Empowering Intelligence to the Edge of Network von Xu, Dianlei, Li, Tong, Li, Yong, Su, Xiang, Tarkoma, Sasu, Jiang, Tao, Crowcroft, Jon, Hui, Pan

“… Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis proximity to where data are captured …”
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A review of topic modeling methods von Vayansky, Ike, Kumar, Sathish A.P.

“… Topic modeling is a popular analytical tool for evaluating data. Numerous methods of topic modeling have been developed which consider many kinds of …”
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Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion von Liao, Minghui, Zou, Zhisheng, Wan, Zhaoyi, Yao, Cong, Bai, Xiang

“… Recently, segmentation-based scene text detection methods have drawn extensive attention in the scene text detection field, because of their superiority in …”
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ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows von An, Jie, Huang, Siyu, Song, Yibing, Dou, Dejing, Liu, Wei, Luo, Jiebo

“… Universal style transfer retains styles from reference images in content images. While existing methods have achieved state-of-the-art style transfer …”
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Vector Approximate Message Passing von Rangan, Sundeep, Schniter, Philip, Fletcher, Alyson K.

“… The standard linear regression (SLR) problem is to recover a vector <inline-formula> <tex-math notation="LaTeX">\mathrm {x}^{0} </tex-math></inline-formula> …”
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Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning von Nasr, Milad, Shokri, Reza, Houmansadr, Amir

“… Deep neural networks are susceptible to various inference attacks as they remember information about their training data. We design white-box inference attacks …”
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Deep Unfolding Network for Image Super-Resolution von Zhang, Kai, Van Gool, Luc, Timofte, Radu

“… Learning-based single image super-resolution (SISR) methods are continuously showing superior effectiveness and efficiency over traditional model-based …”
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Evaluation Methods and Measures for Causal Learning Algorithms von Cheng, Lu, Guo, Ruocheng, Moraffah, Raha, Sheth, Paras, Candan, K. Selcuk, Liu, Huan

“… The convenient access to copious multifaceted data has encouraged machine learning researchers to reconsider correlation-based learning and embrace the …”
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Bayesian Networks in Fault Diagnosis von Cai, Baoping, Huang, Lei, Xie, Min

“… Fault diagnosis is useful in helping technicians detect, isolate, and identify faults, and troubleshoot. Bayesian network (BN) is a probabilistic graphical …”
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YOLOv4-5D: An Effective and Efficient Object Detector for Autonomous Driving von Cai, Yingfeng, Luan, Tianyu, Gao, Hongbo, Wang, Hai, Chen, Long, Li, Yicheng, Sotelo, Miguel Angel, Li, Zhixiong

“… The use of object detection algorithms has become extremely important in autonomous vehicles. Object detection at high accuracy and a fast inference speed is …”
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Zero-Shot Video Object Segmentation With Co-Attention Siamese Networks von Lu, Xiankai, Wang, Wenguan, Shen, Jianbing, Crandall, David, Luo, Jiebo

“… We introduce a novel network, called CO-attention siamese network (COSNet), to address the zero-shot video object segmentation task in a holistic fashion. We …”
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Learning Deep Structured Active Contours End-to-End von Zhang, Lisa, Bai, Min, Liao, Renjie, Urtasun, Raquel, Marcos, Diego, Tuia, Devis, Kellenberger, Benjamin

“… The world is covered with millions of buildings, and precisely knowing each instance's position and extents is vital to a multitude of applications. Recently, …”
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A Bayesian Formulation of Coherent Point Drift von Hirose, Osamu

“… Coherent point drift is a well-known algorithm for solving point set registration problems, i.e., finding corresponding points between shapes represented as …”
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Self-Critical Sequence Training for Image Captioning von Rennie, Steven J., Marcheret, Etienne, Mroueh, Youssef, Ross, Jerret, Goel, Vaibhava

“… Recently it has been shown that policy-gradient methods for reinforcement learning can be utilized to train deep end-to-end systems directly on …”
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Joint Channel Estimation and Signal Recovery for RIS-Empowered Multiuser Communications von Wei, Li, Huang, Chongwen, Guo, Qinghua, Yang, Zhaohui, Zhang, Zhaoyang, Alexandropoulos, George C., Debbah, Merouane, Yuen, Chau

“… Reconfigurable intelligent surfaces (RISs) have been recently considered as a promising candidate for energy-efficient solutions in future wireless networks …”
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Reconfigurable Intelligent Surface Aided Mobile Edge Computing: From Optimization-Based to Location-Only Learning-Based Solutions von Hu, Xiaoyan, Masouros, Christos, Wong, Kai-Kit

“… In this paper, we explore optimization-based and data-driven solutions in a reconfigurable intelligent surface (RIS)-aided multi-user mobile edge computing …”
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CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF von Bao, Linchao, Wu, Baoyuan, Liu, Wei

“… This paper addresses the problem of video object segmentation, where the initial object mask is given in the first frame of an input video. We propose a novel …”
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