Results 31 to 40 of about 11,171,980 (304)
Masked Autoencoders for Point Cloud Self-supervised Learning [PDF]
As a promising scheme of self-supervised learning, masked autoencoding has significantly advanced natural language processing and computer vision. Inspired by this, we propose a neat scheme of masked autoencoders for point cloud self-supervised learning,
Yatian Pang +5 more
semanticscholar +1 more source
Visualization of processes in self-learning systems [PDF]
One aspect of self-organizing systems is their desired ability to be self-learning, i.e., to be able to adapt dynamically to conditions in their environment. This quality is awkward especially if it comes to applications in security or safety-sensitive areas.
Gabriele Peters +4 more
openaire +2 more sources
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale [PDF]
This paper presents XLS-R, a large-scale model for cross-lingual speech representation learning based on wav2vec 2.0. We train models with up to 2B parameters on nearly half a million hours of publicly available speech audio in 128 languages, an order of
Arun Babu +12 more
semanticscholar +1 more source
Distributed and Centralized Options for Self-Learning [PDF]
This work was partially supported by the EC through the METRO-HAUL project (G.A. nº 761727), from the AEI/FEDER TWINS project (TEC2017-90097-R), and from the Catalan ICREA Institution.
Tabatabaeimehr, Fatemehsadat +2 more
openaire +1 more source
The happy learner: Effects of academic boredom, burnout, and engagement
This study aimed to investigate the impact of demographic and contextual variables on boredom in English and mathematics, and to test structural models of boredom, learner burnout, learner engagement, and life satisfaction. Using a cross-sectional survey
Christiaan I. Bekker +2 more
doaj +1 more source
Celebrating Thirty Years of Inclusive Research
Inclusive research has been an important way of increasing the understanding of the lives and issues of people with intellectual (learning) disabilities for 30 years.
Danielle Garratt +5 more
doaj +1 more source
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
One program to rule them all Computers can beat humans at increasingly complex games, including chess and Go. However, these programs are typically constructed for a particular game, exploiting its properties, such as the symmetries of the board on which
David Silver +12 more
semanticscholar +1 more source
Self-supervised Graph Learning for Recommendation [PDF]
Representation learning on user-item graph for recommendation has evolved from using single ID or interaction history to exploiting higher-order neighbors.
Jiancan Wu +6 more
semanticscholar +1 more source
Self-Authorship: A Pedagogical Tool for Pre-Service Teachers to Develop (Pre)Professional Identity
This article reports on the use of self-authorship as a pedagogical tool to develop pre-service teachers’ professional identities. Pre-professional identity is considered a dynamic, less mature version of professional identity.
Carolina Botha +2 more
doaj +1 more source
Deep Self-Learning From Noisy Labels [PDF]
ConvNets achieve good results when training from clean data, but learning from noisy labels significantly degrades performances and remains challenging.
Jiangfan Han, Ping Luo, Xiaogang Wang
semanticscholar +1 more source

