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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
Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation
ACL 2023
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations
EMNLP 2023
An Auxiliary Task Boosted Multi-task Learning Method for Service Account Retrieval with Limited Human Annotation
EMNLP 2023
MOSLight: A Lightweight Data-Efficient System for Non-Intrusive Speech Quality Assessment
INTERSPEECH 2023
Exploring multi-task learning and data augmentation in dementia detection with self-supervised pretrained models
INTERSPEECH 2023
MVP: Multi-task Supervised Pre-training for Natural Language Generation
ACL 2023
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
ICML 2023
Enhancing ESG Impact Type Identification through Early Fusion and Multilingual Models
IJCNLP 2023
Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning
EMNLP 2023
Multi-Task Knowledge Distillation with Embedding Constraints for Scholarly Keyphrase Boundary Classification
EMNLP 2023
A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection
EMNLP 2023
Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule
EMNLP 2023
Auxiliary Learning as an Asymmetric Bargaining Game
ICML 2023
Everyone’s Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval
ICML 2023
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction
CVPR 2023
Deep Graph Representation Learning and Optimization for Influence Maximization
ICML 2023
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty
JMLR 2023
Improving Bi-level Optimization Based Methods with Inspiration from Humans’ Classroom Study Techniques
ICML 2023
Multi-Task Differential Privacy Under Distribution Skew
ICML 2023
Transformers as Algorithms: Generalization and Stability in In-context Learning
ICML 2023
Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling
ICML 2023
Universal Morphology Control via Contextual Modulation
ICML 2023
Estimating Causal Effects using a Multi-task Deep Ensemble
ICML 2023
UL & UM6P at ArAIEval Shared Task: Transformer-based model for Persuasion Techniques and Disinformation detection in Arabic
EMNLP 2023
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning
ICML 2023
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