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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
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
NIPS 2024
Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation
AAAI 2024
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models
NIPS 2024
Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
NIPS 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition
NIPS 2024
A Generic Method for Fine-grained Category Discovery in Natural Language Texts
EMNLP 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
NIPS 2024
Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning
AAAI 2024
Leveraging Separated World Model for Exploration in Visually Distracted Environments
NIPS 2024
Unsupervised Tree Boosting for Learning Probability Distributions
JMLR 2024
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
JMLR 2024
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
NIPS 2024
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization
AAAI 2024
Nonparametric Copula Models for Multivariate, Mixed, and Missing Data
JMLR 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
NIPS 2024
Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning
IJCAI 2024
L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer
NIPS 2024
Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling
IJCAI 2024
Identifying Selections for Unsupervised Subtask Discovery
NIPS 2024
Near-Optimality of Contrastive Divergence Algorithms
NIPS 2024
Cross-modal Generation and Alignment via Attribute-guided Prompt for Unsupervised Text-based Person Retrieval
IJCAI 2024
Unsupervised Sign Language Translation and Generation
ACL 2024
Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features
NIPS 2024
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
NIPS 2024
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
NIPS 2024
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