Results 11 to 20 of about 1,389,684 (315)
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications [PDF]
IEEE Journal on Selected Areas in Communications, 2022 Communication systems to date primarily aim at reliably communicating bit sequences. Such an approach provides efficient engineering designs that are agnostic to the meanings of the messages or to the goal that the message exchange aims to achieve.
Deniz Gündüz +7 more
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Network representation learning systematic review: Ancestors and current development state
Machine Learning with Applications, 2021 Real-world information networks are increasingly occurring across various disciplines including online social networks and citation networks. These network data are generally characterized by sparseness, nonlinearity and heterogeneity bringing different ...
Amina Amara +2 more
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Closed-Form Factorization of Latent Semantics in GANs [PDF]
Computer Vision and Pattern Recognition, 2020 A rich set of interpretable dimensions has been shown to emerge in the latent space of the Generative Adversarial Networks (GANs) trained for synthesizing images.
Yujun Shen, Bolei Zhou
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Semantics for Robotic Mapping, Perception and Interaction: A Survey [PDF]
Found. Trends Robotics, 2021 For robots to navigate and interact more richly with the world around them, they will likely require a deeper understanding of the world in which they operate.
Sourav Garg +11 more
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Digital Studies, 2021 In Digital Humanities the task of “text modelling” has been recognised and successfully treated in the last decades. But indeed every use of digital text processing software, even the most naive one, is already a kind of text modelling activity.
Baltasar Trancón y Widemann +1 more
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Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 Numerous deep learning applications benefit from multitask learning with multiple regression and classification objectives. In this paper we make the observation that the performance of such systems is strongly dependent on the relative weighting between
Alex Kendall, Y. Gal, R. Cipolla
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Semantics derived automatically from language corpora contain human-like biases [PDF]
Science, 2016 Machines learn what people know implicitly AlphaGo has demonstrated that a machine can learn how to do things that people spend many years of concentrated study learning, and it can rapidly learn how to do them better than any human can.
Aylin Caliskan +2 more
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Semantics-Empowered Communication for Networked Intelligent Systems [PDF]
IEEE Communications Magazine, 2020 Wireless connectivity has traditionally been regarded as an opaque data pipe carrying messages, whose context-dependent meaning and effectiveness have been ignored.
M. Kountouris, Nikolaos Pappas
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Verb Semantics and Lexical Selection [PDF]
Annual Meeting of the Association for Computational Linguistics, 1994 This paper will focus on the semantic representation of verbs in computer systems and its impact on lexical selection problems in machine translation (MT).
Zhibiao Wu, Martha Palmer
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Identity-Based Proxy Signature with Message Recovery over NTRU Lattice
Entropy, 2023 Proxy signature is one of the important primitives of public-key cryptography and plays an essential role in delivering security services in modern communications.
Faguo Wu, Bo Zhou, Xiao Zhang
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