Results 301 to 309 of about 549,786 (309)

Self-Supervised Learning for Electroencephalography

IEEE Transactions on Neural Networks and Learning Systems
Decades of research have shown machine learning superiority in discovering highly nonlinear patterns embedded in electroencephalography (EEG) records compared with conventional statistical techniques. However, even the most advanced machine learning techniques require relatively large, labeled EEG repositories.
Mohammad H. Rafiei, Lynne V. Gauthier, Hojjat Adeli, Daniel Takabi   +3 more
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Self supervised Visual Geometry Learning

2021
Visual geometry learning aims to recover 3D geometry information i.e., surface normal, depth maps and camera poses from images. As a classic task in computer vision, this problem has been studied extensively for decades. It contains depth completion, stereo matching, monocular depth estimation, optical flow, visual odometry, structure from motion and ...
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Self-supervised learning

Abstract Supervised training requires pairs of target image and associated measurements, which are often difficult to collect. This chapter discusses self-supervised learning approaches based on constructing a self-supervised loss for training a neural network to map a measurement to a clean image.
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Self-Supervised Learning for Recommendation

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin   +4 more
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Self-supervised Hypergraph Representation Learning

2022 IEEE International Conference on Big Data (Big Data), 2022
Boxin Du, Changhe Yuan, Robert Barton, Tal Neiman, Hanghang Tong   +4 more
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Self-supervision for reinforcement learning

Cette thèse tente de construire de meilleurs agents d'apprentissage par renforcement (RL) en tirant parti de l'apprentissage auto-supervisé. Il se présente sous la forme d'une thèse par article qui contient trois travaux. Dans le premier article, nous construisons un benchmark basé sur les jeux Atari pour évaluer systématiquement les méthodes d ...
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Action-Aware Self-Supervised Learning

ARENA deliverable report of P1 ...
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Self-Supervised Learning with Ensemble Representations

Engineering Applications of Artificial Intelligence
Kyoungmin Han, Minsik Lee
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Pareto Graph Self-Supervised Learning

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Zhengyu Chen, Teng Xiao, Donglin Wang, Min Zhang   +3 more
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