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Methodology
← Learning Types
Deep Learning
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Learning Types
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Multi-Task Learning
955 directly classified papers
Papers per year
2006: 1
2008: 1
2009: 1
2011: 1
2013: 1
2014: 5
2015: 10
2016: 16
2017: 38
2018: 57
2019: 125
2020: 161
2021: 121
2022: 122
2023: 112
2024: 93
2025: 90
Papers
Learning Sparse Sharing Architectures for Multiple Tasks
AAAI 2020
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
AAAI 2020
Frustratingly Easy Multilingual Grapheme-to-Phoneme Conversion
ACL 2020
Hybrid Enhanced Universal Dependencies Parsing
ACL 2020
A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT
EMNLP 2020
Multi-task Learning for Multilingual Neural Machine Translation
EMNLP 2020
Coupled Hierarchical Transformer for Stance-Aware Rumor Verification in Social Media Conversations
EMNLP 2020
Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders
EMNLP 2020
GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems
EMNLP 2020
Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product
EMNLP 2020
Translation Quality Estimation by Jointly Learning to Score and Rank
EMNLP 2020
Lifelong Language Knowledge Distillation
EMNLP 2020
Slot Attention with Value Normalization for Multi-Domain Dialogue State Tracking
EMNLP 2020
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations
EMNLP 2020
Routing Enforced Generative Model for Recipe Generation
EMNLP 2020
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
EMNLP 2020
Distilling Multiple Domains for Neural Machine Translation
EMNLP 2020
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
EMNLP 2020
Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments
EMNLP 2020
Response Selection for Multi-Party Conversations with Dynamic Topic Tracking
EMNLP 2020
Mention Extraction and Linking for SQL Query Generation
EMNLP 2020
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning
EMNLP 2020
Transformer Based Multi-Source Domain Adaptation
EMNLP 2020
VolTAGE: Volatility Forecasting via Text Audio Fusion with Graph Convolution Networks for Earnings Calls
EMNLP 2020
Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking
EMNLP 2020
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