task adaptation

Efficient Stitchable Task Adaptation CVPR 2024 Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources NeurIPS 2024 Focused Large Language Models are Stable Many-Shot Learners EMNLP 2024 Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement NeurIPS 2024 Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation NeurIPS 2024 MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024 Scalable Language Model with Generalized Continual Learning ICLR 2024 Task Adaptation in Industrial Human-Robot Interaction: Leveraging Riemannian Motion Policies RSS 2024 Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning AAAI 2024 Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use EMNLP 2024 Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning NeurIPS 2024 Towards a Unified Framework for Adaptable Problematic Content Detection via Continual Learning NAACL 2024 Zero-Shot Task Adaptation with Relevant Feature Information AAAI 2024 A Closer Look at Few-shot Classification Again ICML 2023 A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging AAAI 2023 Combining Active Learning and Task Adaptation with BERT for Cost-Effective Annotation of Social Media Datasets ACL 2023 Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification WACV 2023 DETA: Denoised Task Adaptation for Few-Shot Learning ICCV 2023 EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models NeurIPS 2023 Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation ACL 2023 Few-Shot Learning of Compact Models via Task-Specific Meta Distillation WACV 2023 Function-Space Regularization in Neural Networks: A Probabilistic Perspective ICML 2023 Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks ICLR 2023 HyperShot: Few-Shot Learning by Kernel HyperNetworks WACV 2023 Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels ICML 2023