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← Learning Types
Machine Learning
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Unsupervised Learning
4,596 papers
Papers per year
2001: 2
2002: 1
2003: 12
2004: 5
2005: 4
2006: 34
2007: 21
2008: 23
2009: 32
2010: 43
2011: 37
2012: 63
2013: 100
2014: 82
2015: 83
2016: 120
2017: 193
2018: 255
2019: 504
2020: 516
2021: 570
2022: 516
2023: 537
2024: 406
2025: 330
2026: 107
Papers
Unsupervised Inference of Physiologically Meaningful Articulatory Trajectories with VocalTractLab
INTERSPEECH 2022
A Deep One-Class Learning Method for Replay Attack Detection
INTERSPEECH 2022
Unsupervised domain adaptation for speech recognition with unsupervised error correction
INTERSPEECH 2022
Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no direct access to speech data
INTERSPEECH 2022
Exploiting locality in high-dimensional Factorial hidden Markov models
JMLR 2022
Dependent randomized rounding for clustering and partition systems with knapsack constraints
JMLR 2022
Regularized K-means Through Hard-Thresholding
JMLR 2022
Cauchy–Schwarz Regularized Autoencoder
JMLR 2022
Change point localization in dependent dynamic nonparametric random dot product graphs
JMLR 2022
Linearization and Identification of Multiple-Attractor Dynamical Systems through Laplacian Eigenmaps
JMLR 2022
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
JMLR 2022
Community detection in sparse latent space models
JMLR 2022
ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network
JMLR 2022
Position Regression for Unsupervised Anomaly Detection
MIDL 2022
Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans
MIDL 2022
Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI
MIDL 2022
Detecting Out-of-Distribution via an Unsupervised Uncertainty Estimation for Prostate Cancer Diagnosis
MIDL 2022
Learning Strategies for Contrast-agnostic Segmentation via SynthSeg for Infant MRI data
MIDL 2022
Unsupervised Domain Adaptation for Medical Image Segmentation via Self-Training of Early Features
MIDL 2022
Self-Supervised Representation Learning for High-Content Screening
MIDL 2022
Cell Anomaly Localisation using Structured Uncertainty Prediction Networks
MIDL 2022
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation
MIDL 2022
KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection
MIDL 2022
Diagnosing Epileptogenesis with Deep Anomaly Detection
MLHC 2022
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds
NAACL 2022
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