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← Learning Types
Deep Learning
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Learning Types
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Unsupervised Learning
658 directly classified papers
Papers per year
2006: 1
2011: 3
2012: 3
2013: 8
2014: 6
2015: 8
2016: 15
2017: 18
2018: 55
2019: 112
2020: 101
2021: 95
2022: 92
2023: 59
2024: 47
2025: 34
2026: 1
Papers
Unsupervised learning of object structure and dynamics from videos
NIPS 2019
A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit
NIPS 2019
Unsupervised Learning of Object Keypoints for Perception and Control
NIPS 2019
Wasserstein Dependency Measure for Representation Learning
NIPS 2019
Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer
AAAI 2019
Unsupervised Neural Machine Translation with SMT as Posterior Regularization
AAAI 2019
Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss
CVPR 2019
Unsupervised 3D Reconstruction Networks
ICCV 2019
Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses
ACL 2019
Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation
ACL 2019
Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine Translation
ACL 2019
Unsupervised Pivot Translation for Distant Languages
ACL 2019
Learning Document Embeddings with Crossword Prediction
AAAI 2019
Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols
AAAI 2019
Anomaly Detection Using Autoencoders in High Performance Computing Systems
AAAI 2019
Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization
AAAI 2019
Almost Unsupervised Learning for Dense Crowd Counting
AAAI 2019
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
CVPR 2019
Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes
CVPR 2019
Unsupervised Learning of Action Classes With Continuous Temporal Embedding
CVPR 2019
Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection
CVPR 2019
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors
CVPR 2019
Unsupervised Part-Based Disentangling of Object Shape and Appearance
CVPR 2019
Unsupervised Multi-Modal Neural Machine Translation
CVPR 2019
Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network
CVPR 2019
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