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Methodology
← Learning Types
Machine Learning
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Multi-Task Learning
2117 directly classified papers
Papers per year
2006: 1
2007: 6
2008: 4
2009: 7
2010: 10
2011: 9
2012: 24
2013: 37
2014: 18
2015: 19
2016: 35
2017: 74
2018: 114
2019: 193
2020: 229
2021: 251
2022: 264
2023: 259
2024: 270
2025: 283
2026: 10
Papers
Non-stationary Online Learning with Memory and Non-stochastic Control
AISTATS 2022
Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets
AACL 2022
How Well Do Multi-hop Reading Comprehension Models Understand Date Information?
IJCNLP 2022
FAD-X: Fusing Adapters for Cross-lingual Transfer to Low-Resource Languages
AACL 2022
Seeking Diverse Reasoning Logic: Controlled Equation Expression Generation for Solving Math Word Problems
IJCNLP 2022
Active Learning for Multiple Target Models
NIPS 2022
How Relevant is Selective Memory Population in Lifelong Language Learning?
IJCNLP 2022
Domain Specific Sub-network for Multi-Domain Neural Machine Translation
IJCNLP 2022
Transfer Learning for Humor Detection by Twin Masked Yellow Muppets
IJCNLP 2022
AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning
NIPS 2022
Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve
NIPS 2022
FPC: Fine-tuning with Prompt Curriculum for Relation Extraction
IJCNLP 2022
Persona or Context? Towards Building Context adaptive Personalized Persuasive Virtual Sales Assistant
IJCNLP 2022
Multi-Task Dynamical Systems
JMLR 2022
Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act Classification
IJCNLP 2022
KESA: A Knowledge Enhanced Approach To Sentiment Analysis
IJCNLP 2022
Phylogeny-Inspired Adaptation of Multilingual Models to New Languages
IJCNLP 2022
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation
CVPR 2022
Collaborative Learning for Hand and Object Reconstruction With Attention-Guided Graph Convolution
CVPR 2022
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning
CVPR 2022
EyePAD++: A Distillation-Based Approach for Joint Eye Authentication and Presentation Attack Detection Using Periocular Images
CVPR 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
CVPR 2022
Task-Specific Inconsistency Alignment for Domain Adaptive Object Detection
CVPR 2022
Layer-Wised Model Aggregation for Personalized Federated Learning
CVPR 2022
DiSparse: Disentangled Sparsification for Multitask Model Compression
CVPR 2022
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