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Multi-Task Learning
110 directly classified papers
Papers per year
2011: 2
2012: 1
2014: 3
2016: 1
2017: 2
2018: 8
2019: 11
2020: 13
2021: 16
2022: 14
2023: 18
2024: 11
2025: 10
Papers
MUNBa: Machine Unlearning via Nash Bargaining
ICCV 2025
Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models
EMNLP 2025
tinaal at SemEval-2025 Task 11: Enhancing Perceived Emotion Intensity Prediction with Boosting Fine-Tuned Transformers
ACL 2025
Generalizable Cross-Lingual Cognitive Distortion Detection with Standardized Annotations and Multi-Task Learning
ACL 2025
UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing
ICCV 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
ICCV 2025
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding
AAAI 2025
SEE: Continual Fine-tuning with Sequential Ensemble of Experts
ACL 2025
Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation
EMNLP 2025
Supervised Learning with Evolving Tasks and Performance Guarantees
JMLR 2025
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic
EMNLP 2024
AV-RIR: Audio-Visual Room Impulse Response Estimation
CVPR 2024
BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks
EMNLP 2024
Hit the Nail on the Head: Parameter-Efficient Multi-task Tuning via Human Language Intervention
EMNLP 2024
Improving Sign Language Production in the Healthcare Domain Using UMLS and Multi-task Learning
COLING 2024
Biologically Inspired Learning Model for Instructed Vision
NIPS 2024
Narrative Action Evaluation with Prompt-Guided Multimodal Interaction
CVPR 2024
Parameter Competition Balancing for Model Merging
NIPS 2024
Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability
AAAI 2024
Continual Relation Extraction via Sequential Multi-Task Learning
AAAI 2024
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions
NAACL 2024
Efficient Controllable Multi-Task Architectures
ICCV 2023
Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
CVPR 2023
Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online News
SEMEVAL 2023
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods
EACL 2023
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