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Self-Supervised Learning

8,405 papers

Papers per year

12
19
682
1215
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Papers

A Deep Metric Learning Method for Biomedical Passage Retrieval COLING 2020
Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News COLING 2020
Modeling Evolution of Message Interaction for Rumor Resolution COLING 2020
Multi-choice Relational Reasoning for Machine Reading Comprehension COLING 2020
Embedding Dynamic Attributed Networks by Modeling the Evolution Processes COLING 2020
Attention Word Embedding COLING 2020
Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora COLING 2020
End-to-end Training For Financial Report Summarization COLING 2020
Knowledge Graph and Deep Neural Network for Extractive Text Summarization by Utilizing Triples COLING 2020
Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality COLING 2020
Fake news detection for the Russian language COLING 2020
IIITG-ADBU at SemEval-2020 Task 8: A Multimodal Approach to Detect Offensive, Sarcastic and Humorous Memes COLING 2020
LT3 at SemEval-2020 Task 7: Comparing Feature-Based and Transformer-Based Approaches to Detect Funny Headlines COLING 2020
BPGC at SemEval-2020 Task 11: Propaganda Detection in News Articles with Multi-Granularity Knowledge Sharing and Linguistic Features Based Ensemble Learning COLING 2020
Winnowing with Gradient Descent COLT 2020
Recurrent babbling: evaluating the acquisition of grammar from limited input data CONLL 2020
Acquiring language from speech by learning to remember and predict CONLL 2020
Learning to ground medical text in a 3D human atlas CONLL 2020
“LazImpa”: Lazy and Impatient neural agents learn to communicate efficiently CONLL 2020
Re-solve it: simulating the acquisition of core semantic competences from small data CONLL 2020
How well does surprisal explain N400 amplitude under different experimental conditions? CONLL 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models CVPR 2020
Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image CVPR 2020
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans CVPR 2020
FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding CVPR 2020