Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey
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2308.08234
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Multi task
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Understanding and Improving Information Transfer in Multi-Task Learning
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Improving Multi-task Learning via Seeking Task-based Flat Regions
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Improvable Gap Balancing for Multi-Task Learning
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Heterogeneous Multi-task Learning with Expert Diversity
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AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations
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Deep Task-specific Bottom Representation Network for Multi-Task Recommendation
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Curriculum-based Asymmetric Multi-task Reinforcement Learning
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Efficient Training of Multi-task Combinarotial Neural Solver with Multi-armed Bandits
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Multi-task Active Learning for Pre-trained Transformer-based Models
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STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map
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SkillNet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach
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SkillNet-NLU: A Sparsely Activated Model for General-Purpose Natural Language Understanding
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MVP: Multi-task Supervised Pre-training for Natural Language Generation
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Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts
Paper • 2305.18691 • Published • 1 -
An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training
Paper • 2306.17165 • Published • 1 -
Hypernetworks for Zero-shot Transfer in Reinforcement Learning
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When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust
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Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters
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TigerBot: An Open Multilingual Multitask LLM
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MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks
Paper • 2311.07463 • Published • 13 -
Differentiable Instruction Optimization for Cross-Task Generalization
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MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
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DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
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