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Methodology
← Learning Types
Machine Learning
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Learning Types
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Unsupervised Learning
4596 directly classified 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
Detecting Repeating Objects Using Patch Correlation Analysis
CVPR 2016
Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification
CVPR 2016
A Multi-Level Contextual Model For Person Recognition in Photo Albums
CVPR 2016
Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics
NIPS 2016
Convex Two-Layer Modeling with Latent Structure
NIPS 2016
CliqueCNN: Deep Unsupervised Exemplar Learning
NIPS 2016
SoundNet: Learning Sound Representations from Unlabeled Video
NIPS 2016
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
NIPS 2016
Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease
NIPS 2016
SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives
COLING 2016
Neural-based Noise Filtering from Word Embeddings
COLING 2016
Selective Co-occurrences for Word-Emotion Association
COLING 2016
Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning
CVPR 2016
Unsupervised Learning of Discriminative Attributes and Visual Representations
CVPR 2016
Joint Unsupervised Learning of Deep Representations and Image Clusters
CVPR 2016
Learning Latent Variable Models by Pairwise Cluster Comparison: Part II - Algorithm and Evaluation
JMLR 2016
Scalable Approximate Bayesian Inference for Outlier Detection under Informative Sampling
JMLR 2016
Learning Deep Parsimonious Representations
NIPS 2016
Bootstrap-Based Regularization for Low-Rank Matrix Estimation
JMLR 2016
Visual Path Prediction in Complex Scenes With Crowded Moving Objects
CVPR 2016
Learning Compact Binary Descriptors With Unsupervised Deep Neural Networks
CVPR 2016
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm
NIPS 2016
A Non-generative Framework and Convex Relaxations for Unsupervised Learning
NIPS 2016
Robust Tensor Factorization With Unknown Noise
CVPR 2016
Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation
CVPR 2016
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