Results 41 to 50 of about 476,790 (313)
High-fidelity audio generation and representation learning with guided adversarial autoencoder [PDF]
, 2020 Generating high-fidelity conditional audio samples and learning representation from unlabelled audio data are two challenging problems in machine learning research.
Rana, Rajib +3 more
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On Representation Learning with Feedback
CoRR, 2022 This note complements the author's recent paper "Robust representation learning with feedback for single image deraining" by providing heuristically theoretical explanations on the mechanism of representation learning with feedback, namely an essential merit of the works presented in this recent article.
openaire +2 more sources
Review of Visual Representation Learning [PDF]
Jisuanji kexueRepresentation learning is an important step of artificial intelligence algorithm,where well designed representation can boost downstream tasks.With the development of deep learning in computer vision,visual representation learning has become ...
WANG Shuaiwei, LEI Jie, FENG Zunlei, LIANG Ronghua
doaj +1 more source
A survey of information network representation learning
Journal of Hebei University of Science and Technology, 2020 The network representation learning algorithm represents the information network as a low-dimensional dense real vector carrying the characteristic information of network nodes, and is applied to the input of downstream machine learning tasks.
Junhao LU, Yunfeng XU
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Learning discriminative region representation for person retrieval
, 2022 Region-level representation learning plays a key role in providing discriminative information for person retrieval. Current methods rely on heuristically coarse-grained region strips or directly borrow pixel-level annotations from pretrained human ...
Yu, X. +7 more
core +1 more source
Time representation in reinforcement learning models of the basal ganglia [PDF]
, 2013 Reinforcement learning (RL) models have been influential in understanding many aspects of basal ganglia function, from reward prediction to action selection.
Sebastian eDupraz +29 more
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Growing Representation Learning
CoRR, 2021 8 pages, 5 ...
Ryan King, Bobak Mortazavi
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IPPT4KRL: Iterative Post-Processing Transfer for Knowledge Representation Learning [PDF]
, 2023 Knowledge Graphs (KGs), a structural way to model human knowledge, have been a critical component of many artificial intelligence applications. Many KG-based tasks are built using knowledge representation learning, which embeds KG entities and relations ...
Zhang, Weihang +7 more
core +1 more source
Learning representations of learning representations
CoRRThe ICLR conference is unique among the top machine learning conferences in that all submitted papers are openly available. Here we present the ICLR dataset consisting of abstracts of all 24 thousand ICLR submissions from 2017-2024 with meta-data, decision scores, and custom keyword-based labels.
Rita González-Márquez, Dmitry Kobak
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An Optimized Network Representation Learning Algorithm Using Multi-Relational Data
Mathematics, 2019 Representation learning aims to encode the relationships of research objects into low-dimensional, compressible, and distributed representation vectors.
Zhonglin Ye +4 more
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