Contrastive Meta Learning with Behavior Multiplicity for Recommendation [PDF]
Web Search and Data Mining, 2022 A well-informed recommendation framework could not only help users identify their interested items, but also benefit the revenue of various online platforms (e.g., e-commerce, social media).
Wei Wei +5 more
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Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition [PDF]
IEEE Transactions on Affective Computing, 2021 EEG signals have been reported to be informative and reliable for emotion recognition in recent years. However, the inter-subject variability of emotion-related EEG signals still poses a great challenge for the practical applications of EEG-based emotion
Xinke Shen +4 more
semanticscholar +1 more source
Towards a relational and comparative rather than a contrastive global housing studies
Housing Studies, 2022 Poststructuralist and postcolonial critiques have led to a necessary corrective in the social sciences, but arguments about difference and incommensurability are also mobilised to put the idea of internationally comparative housing studies into question.
M. Aalbers
semanticscholar +1 more source
Dual Contrastive Learning for Unsupervised Image-to-Image Translation [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 Unsupervised image-to-image translation tasks aim to find a mapping between a source domain X and a target domain Y from unpaired training data. Contrastive learning for Unpaired image-to-image Translation (CUT) yields state-of-the-art results in ...
Junlin Han +3 more
semanticscholar +1 more source
The Use of Contrastive Studies in Linguistics
Journal of Modern Languages, 2017 This study considers the needs of the graduate students, especially the linguistics’ ones, in finding an adequate topic to produce a research paper to complete their degrees.
Merton L. Bland
doaj +14 more sources
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? [PDF]
Knowledge Discovery and Data Mining, 2022 Self-supervised learning establishes a new paradigm of learning representations with much fewer or even no label annotations. Recently there has been remarkable progress on large-scale contrastive learning models which require substantial computing ...
Hangwei Qian, Tian Tian, C. Miao
semanticscholar +1 more source
Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review
Italian National Conference on Sensors, 2023 Medical time series are sequential data collected over time that measures health-related signals, such as electroencephalography (EEG), electrocardiography (ECG), and intensive care unit (ICU) readings.
Ziyu Liu, A. Alavi, Minyi Li, X. Zhang
semanticscholar +1 more source
Built-in Argument Positions in Bulgarian and Polish
Cognitive Studies | Études cognitives, 2021 Built-in Argument Positions in Bulgarian and Polish The issue of built-in argument positions is not particularly popular in contemporary Slavic studies.
Jakub Banasiak
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Linguistische kontrastive Studien Deutsch-Thailändisch: Eine Bestandsaufnahme [PDF]
Linguistik Online, 2009 This article is a survey and synthesis of German-Thai linguistic contrastive studies conducted between 1978 and 2008. Its objective is to give an overview of linguistic contrastive studies on these two languages.
Korakoch Attaviriyanupap
doaj +2 more sources
Contrastive Metapragmatics and the Shifting Semantics of “Sarcasm” in English and Danish [PDF]
, 2023 Despite valuable studies into the uses/functions of sarcasm, no previous investigation has focused on the semantics of “sarcasm” as an emic metapragmatic category.
Levisen, Carsten, Goddard, Cliff
core +1 more source