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Methodology
← Learning Types
Deep Learning
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Learning Types
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Self-Supervised Learning
2959 directly classified papers
Papers per year
2006: 3
2007: 1
2008: 2
2009: 3
2010: 1
2011: 3
2012: 5
2013: 5
2014: 8
2015: 9
2016: 15
2017: 23
2018: 59
2019: 146
2020: 289
2021: 389
2022: 485
2023: 547
2024: 445
2025: 502
2026: 19
Papers
FELIX: Flexible Text Editing Through Tagging and Insertion
EMNLP 2020
RecoBERT: A Catalog Language Model for Text-Based Recommendations
EMNLP 2020
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision
EMNLP 2020
Multi-pretraining for Large-scale Text Classification
EMNLP 2020
Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training
EMNLP 2020
ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training
EMNLP 2020
COSMIC: COmmonSense knowledge for eMotion Identification in Conversations
EMNLP 2020
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
EMNLP 2020
Regularization of Distinct Strategies for Unsupervised Question Generation
EMNLP 2020
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?
EMNLP 2020
Improving Limited Labeled Dialogue State Tracking with Self-Supervision
EMNLP 2020
SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training
EMNLP 2020
Guiding Attention for Self-Supervised Learning with Transformers
EMNLP 2020
Acquiring language from speech by learning to remember and predict
EMNLP 2020
“LazImpa”: Lazy and Impatient neural agents learn to communicate efficiently
EMNLP 2020
Label-Efficient Training for Next Response Selection
EMNLP 2020
An Iterative Knowledge Transfer NMT System for WMT20 News Translation Task
EMNLP 2020
Improving Parallel Data Identification using Iteratively Refined Sentence Alignments and Bilingual Mappings of Pre-trained Language Models
EMNLP 2020
Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval
CVPR 2020
Learning a Dynamic Map of Visual Appearance
CVPR 2020
Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention
CVPR 2020
Learning to See Through Obstructions
CVPR 2020
Momentum Contrast for Unsupervised Visual Representation Learning
CVPR 2020
The Edge of Depth: Explicit Constraints Between Segmentation and Depth
CVPR 2020
Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks
CVPR 2020
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