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Methodology
← Learning Types
Machine Learning
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Learning Types
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Self-Supervised Learning
8255 directly classified papers
Papers per year
2006: 8
2007: 7
2008: 7
2009: 9
2010: 12
2011: 7
2012: 13
2013: 11
2014: 12
2015: 17
2016: 35
2017: 97
2018: 191
2019: 441
2020: 663
2021: 1166
2022: 1170
2023: 1544
2024: 1323
2025: 1205
2026: 317
Papers
InverseRenderNet: Learning Single Image Inverse Rendering
CVPR 2019
Fully Automatic Video Colorization With Self-Regularization and Diversity
CVPR 2019
Learning Linear Transformations for Fast Image and Video Style Transfer
CVPR 2019
Balanced Self-Paced Learning for Generative Adversarial Clustering Network
CVPR 2019
Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification
CVPR 2019
Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification
EMNLP 2019
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks
EMNLP 2019
How Many Users Are Enough? Exploring Semi-Supervision and Stylometric Features to Uncover a Russian Troll Farm
EMNLP 2019
Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains
EMNLP 2019
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing
EMNLP 2019
Commonsense Knowledge Mining from Pretrained Models
EMNLP 2019
Incorporating Visual Semantics into Sentence Representations within a Grounded Space
EMNLP 2019
Attending to Future Tokens for Bidirectional Sequence Generation
EMNLP 2019
Long Warm-up and Self-Training: Training Strategies of NICT-2 NMT System at WAT-2019
EMNLP 2019
NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection
EMNLP 2019
EGG: a toolkit for research on Emergence of lanGuage in Games
EMNLP 2019
Text-based inference of moral sentiment change
EMNLP 2019
SVM-Based Deep Stacking Networks
AAAI 2019
Explainable Recommendation through Attentive Multi-View Learning
AAAI 2019
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion
AAAI 2019
Imitation Learning from Observation
AAAI 2019
Deliberate Attention Networks for Image Captioning
AAAI 2019
Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition
AAAI 2019
Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions
AAAI 2019
Self-Supervised Mixture-of-Experts by Uncertainty Estimation
AAAI 2019
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