Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey
Paper • 2308.08234 • Published • 1
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Understanding and Improving Information Transfer in Multi-Task Learning
Paper • 2005.00944 • Published • 1 -
Improving Multi-task Learning via Seeking Task-based Flat Regions
Paper • 2211.13723 • Published • 3 -
Improvable Gap Balancing for Multi-Task Learning
Paper • 2307.15429 • Published • 2 -
Multi-Task Recommendations with Reinforcement Learning
Paper • 2302.03328 • Published • 1 -
Heterogeneous Multi-task Learning with Expert Diversity
Paper • 2106.10595 • Published • 2 -
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations
Paper • 2301.02494 • Published • 1 -
AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations
Paper • 2304.04959 • Published • 3 -
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation
Paper • 2308.05996 • Published • 1 -
Curriculum-based Asymmetric Multi-task Reinforcement Learning
Paper • 2211.03352 • Published • 1 -
Efficient Training of Multi-task Combinarotial Neural Solver with Multi-armed Bandits
Paper • 2305.06361 • Published • 1 -
Multi-task Active Learning for Pre-trained Transformer-based Models
Paper • 2208.05379 • Published • 1 -
STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map
Paper • 2307.03374 • Published • 2 -
SkillNet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach
Paper • 2204.12184 • Published • 1 -
SkillNet-NLU: A Sparsely Activated Model for General-Purpose Natural Language Understanding
Paper • 2203.03312 • Published • 1 -
MVP: Multi-task Supervised Pre-training for Natural Language Generation
Paper • 2206.12131 • Published • 1 -
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
Paper • 2211.15457 • Published • 1 -
When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust
Paper • 2305.07230 • Published • 2 -
Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters
Paper • 2309.11042 • Published • 2 -
TigerBot: An Open Multilingual Multitask LLM
Paper • 2312.08688 • Published • 6 -
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks
Paper • 2311.07463 • Published • 15 -
Differentiable Instruction Optimization for Cross-Task Generalization
Paper • 2306.10098 • Published • 1 -
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
Paper • 2311.02303 • Published • 12 -
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
Paper • 2106.03760 • Published • 4