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Everything about Similarity learning
Supervised learning of a similarity function
Similarity learning is an area of supervised machine learning in artificial intelligence. It is closely related to regression and classification, but the goal is to learn a similarity function that measures how similar or related two objects are. It has applications in ranking, in recommendation systems, visual identity tracking, face verification, and speaker verification. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Similarity learningA 5-minute orientation
- Skim a recent paper: Semi-Supervised Contrastive Learning With Similarity Co-CalibrationInfluential work since 2022
- Pick up a classic book: Paired-associates learningThe most-reprinted book on the subject
- Read the landmark paper: Learning similarity with cosine similarity ensembleCited 544 times
- Go sideways: Siamese neural networkA closely related topic
- Go sideways: Jaccard indexA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Learning similarity with cosine similarity ensemble
Kernel-driven similarity learning
Learning Content Similarity for Music Recommendation
Deep graph similarity learning: a survey
Distance Learning for Similarity Estimation
Meaningful similarity and interference in learning.
Learning similarity measures from data
Compressive Sequential Learning for Action Similarity Labeling
🆕 Influential since 2022
📚 Books worth reading
Paired-associates learningAlbert E. Goss · 1965
Cross-linguistic similarity in foreign language learningHåkan Ringbom, Hakan Ringbom · 2007
Similarity and analogical reasoningAndrew Ortony, Stella Vosniadou · 1989- 📕Teorii͡a︡ frazeologicheskogo sblizhenii͡a︡Solodukho, Ė. M. · 1989
Making connectionsBev Anderson · 2008- 📕Learner knowledge of target phonotacticsShannon D. Halicki · 2010
Actes du Colloque "D'une langue à l'autre"Colloque "D'une langue à l'autre" (2002 Besançon, France) · 2005
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Siamese neural network A Siamese neural network (sometimes called a twin neural network) is an artificial neural network that uses the same weights while working in tandem on…
- Jaccard index The Jaccard index is a statistic used for gauging the similarity and diversity of sample sets. It is defined in general taking the ratio of two sizes (areas…
- Multidimensional scaling Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a data set. MDS is used to translate distances…
- Large margin nearest neighbor Large margin nearest neighbor (LMNN) classification is a statistical machine learning algorithm for metric learning. It learns a pseudometric designed…
- Similarity measure In statistics and related fields, a similarity measure or similarity function or similarity metric is a real-valued function that quantifies the similarity…
- Graphon In graph theory and statistics, a graphon (also known as a graph limit) is a symmetric measurable function W : [ 0 , 1 ] 2 → [ 0 , 1 ] {\displaystyle W:[0…
- Positive-definite kernel In operator theory, a branch of mathematics, a positive-definite kernel is a generalization of a positive-definite function or a positive-definite matrix…
- Jaro–Winkler distance In computer science and statistics, the Jaro–Winkler similarity is a string metric measuring an edit distance between two sequences. It is a variant of…