task selection

Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks ICLR 2024 Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning ACL 2024 Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing NAACL 2024 Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks EMNLP 2024 Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning EMNLP 2024 Proximal Curriculum with Task Correlations for Deep Reinforcement Learning IJCAI 2024 Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning ICLR 2024 Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks EMNLP 2023 Divergence-Based Domain Transferability for Zero-Shot Classification EACL 2023 Multidimensional Belief Quantification for Label-Efficient Meta-Learning CVPR 2022 Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning AISTATS 2022 Can We Characterize Tasks Without Labels or Features? CVPR 2021 What to Pre-Train on? Efficient Intermediate Task Selection EMNLP 2021 An Exact Single-Agent Task Selection Algorithm for the Crowdsourced Logistics IJCAI 2020 Information-theoretic Task Selection for Meta-Reinforcement Learning NeurIPS 2020 Probabilistic Active Meta-Learning NeurIPS 2020 AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning NAACL 2019 Self-Paced Multitask Learning with Shared Knowledge IJCAI 2017