Co-occurring keywords · papers mentioning both
Papers
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey
EMNLP 2023
Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer
ACL 2023
TaskWeb: Selecting Better Source Tasks for Multi-task NLP
EMNLP 2023
Abstraction in Data-Sparse Task Transfer (Extended Abstract)
IJCAI 2022
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search
CVPR 2022
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue
EMNLP 2022
Bayesian Structural Adaptation for Continual Learning
ICML 2021
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning
EMNLP 2021
Rethinking Why Intermediate-Task Fine-Tuning Works
EMNLP 2021
Design Space for Graph Neural Networks
NeurIPS 2020
Planning with Abstract Learned Models While Learning Transferable Subtasks
AAAI 2020
Task Transfer by Preference-Based Cost Learning
AAAI 2019
State Abstractions for Lifelong Reinforcement Learning
ICML 2018
Taskonomy: Disentangling Task Transfer Learning
CVPR 2018
Universal Agent for Disentangling Environments and Tasks
ICLR 2018
Parametric Task Learning
NeurIPS 2013
Transfer Learning for Reinforcement Learning Domains: A Survey
JMLR 2009