Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Types
Deep Learning
›
Learning Types
›
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
GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation
EMNLP 2021
Building Adaptive Acceptability Classifiers for Neural NLG
EMNLP 2021
Progressive Self-Training with Discriminator for Aspect Term Extraction
EMNLP 2021
Neural-based RST Parsing And Analysis In Persuasive Discourse
EMNLP 2021
Teach Me What to Say and I Will Learn What to Pick: Unsupervised Knowledge Selection Through Response Generation with Pretrained Generative Models
EMNLP 2021
Think Before You Speak: Learning to Generate Implicit Knowledge for Response Generation by Self-Talk
EMNLP 2021
Vyākarana: A Colorless Green Benchmark for Syntactic Evaluation in Indic Languages
EMNLP 2021
Backtranslation in Neural Morphological Inflection
EMNLP 2021
When does Further Pre-training MLM Help? An Empirical Study on Task-Oriented Dialog Pre-training
EMNLP 2021
From Stock Prediction to Financial Relevance: Repurposing Attention Weights to Assess News Relevance Without Manual Annotations
EMNLP 2021
The Emergence of the Shape Bias Results from Communicative Efficiency
EMNLP 2021
Table-based Fact Verification With Salience-aware Learning
EMNLP 2021
Self-Supervised Neural Topic Modeling
EMNLP 2021
Modeling Mathematical Notation Semantics in Academic Papers
EMNLP 2021
Data Efficient Masked Language Modeling for Vision and Language
EMNLP 2021
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection
EMNLP 2021
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation
EMNLP 2021
CDLM: Cross-Document Language Modeling
EMNLP 2021
Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension
EMNLP 2021
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
EMNLP 2021
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding
EMNLP 2021
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data
EMNLP 2021
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case
EMNLP 2021
Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models
EMNLP 2021
On the Influence of Masking Policies in Intermediate Pre-training
EMNLP 2021
<
1
…
83
84
85
…
119
>