task generalization

InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning EMNLP 2022 On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning NeurIPS 2022 On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets ACL 2022 Prompt Consistency for Zero-Shot Task Generalization EMNLP 2022 Quantifying Adaptability in Pre-trained Language Models with 500 Tasks NAACL 2022 Subspace Learning for Effective Meta-Learning ICML 2022 BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning CoRL 2021 Exploiting a Zoo of Checkpoints for Unseen Tasks NeurIPS 2021 Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture NeurIPS 2021 Learning to Generate Task-Specific Adapters from Task Description ACL 2021 LTL2Action: Generalizing LTL Instructions for Multi-Task RL ICML 2021 A Meta-Learning Approach for Custom Model Training AAAI 2019 Compositional Plan Vectors NeurIPS 2019 Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning CoRL 2019 Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration CVPR 2019 Self-Supervised Generalisation with Meta Auxiliary Learning NeurIPS 2019 Task-Conditioned Variational Autoencoders for Learning Movement Primitives CoRL 2019 Modular meta-learning CoRL 2018 One-Shot Visual Imitation Learning via Meta-Learning CoRL 2017 Robot Programming by Demonstration with Interactive Action Visualizations RSS 2014 Learning Multiple Tasks using Shared Hypotheses NeurIPS 2012 Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NeurIPS 2012 Bounds for Linear Multi-Task Learning JMLR 2006