Zobrazeno 1 - 10
of 2 298
pro vyhledávání: '"Query learning"'
Autor:
Zhou, Kevin
Learning automata by queries is a long-studied area initiated by Angluin in 1987 with the introduction of the $L^*$ algorithm to learn regular languages, with a large body of work afterwards on many different variations and generalizations of DFAs. R
Externí odkaz:
http://arxiv.org/abs/2409.10822
Speech-driven facial animation aims to synthesize lip-synchronized 3D talking faces following the given speech signal. Prior methods to this task mostly focus on pursuing realism with deterministic systems, yet characterizing the potentially stochast
Externí odkaz:
http://arxiv.org/abs/2409.19143
Autor:
Shang, Wenbo, Huang, Xin
A graph is a fundamental data model to represent various entities and their complex relationships in society and nature, such as social networks, transportation networks, financial networks, and biomedical systems. Recently, large language models (LL
Externí odkaz:
http://arxiv.org/abs/2404.14809
Akademický článek
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Human-centric perception (e.g. detection, segmentation, pose estimation, and attribute analysis) is a long-standing problem for computer vision. This paper introduces a unified and versatile framework (HQNet) for single-stage multi-person multi-task
Externí odkaz:
http://arxiv.org/abs/2312.05525
Autor:
Karchmer, Ari
(Abridged) Designing computationally efficient algorithms in the agnostic learning model (Haussler, 1992; Kearns et al., 1994) is notoriously difficult. In this work, we consider agnostic learning with membership queries for touchstone classes at the
Externí odkaz:
http://arxiv.org/abs/2311.06690
In this paper we give several applications of Littlestone dimension. The first is to the model of \cite{angluin2017power}, where we extend their results for learning by equivalence queries with random counterexamples. Second, we extend that model to
Externí odkaz:
http://arxiv.org/abs/2310.04812
Akademický článek
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3D plane reconstruction from images can usually be divided into several sub-tasks of plane detection, segmentation, parameters regression and possibly depth prediction for per-frame, along with plane correspondence and relative camera pose estimation
Externí odkaz:
http://arxiv.org/abs/2307.13756
This paper initiates the study of active learning for exact recovery of partitions exclusively through access to a same-cluster oracle in the presence of bounded adversarial error. We first highlight a novel connection between learning partitions and
Externí odkaz:
http://arxiv.org/abs/2305.13402