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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
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation
CVPR 2020
Learning to Slide Unknown Objects with Differentiable Physics Simulations
RSS 2020
The Implicit and Explicit Regularization Effects of Dropout
ICML 2020
The RELX Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation Classification
EMNLP 2020
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint
AAAI 2020
Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training
EMNLP 2020
Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical Analytics
EMNLP 2020
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation
EMNLP 2020
Generative-Discriminative Feature Representations for Open-Set Recognition
CVPR 2020
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision
CVPR 2020
Normalizing Flows With Multi-Scale Autoregressive Priors
CVPR 2020
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
ACL 2020
Diversifying Dialogue Generation with Non-Conversational Text
ACL 2020
Multi-Label Visual Feature Learning with Attentional Aggregation
WACV 2020
On the Robustness of Language Encoders against Grammatical Errors
ACL 2020
A Novel Self-Supervised Re-labeling Approach for Training with Noisy Labels
WACV 2020
ClusterFit: Improving Generalization of Visual Representations
CVPR 2020
Learning Fast and Robust Target Models for Video Object Segmentation
CVPR 2020
Learning Mutational Semantics
NIPS 2020
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space
NIPS 2020
Pre-training via Paraphrasing
NIPS 2020
The Convolution Exponential and Generalized Sylvester Flows
NIPS 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
EMNLP 2020
Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals
NIPS 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
NIPS 2020
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