conftrace_

task adaptation

85 papers

Explore in graph

Co-occurring keywords

few-shot learning (3398) transfer learning (5449) large language model (13587) model-agnostic meta-learning (66) parameter-efficient fine-tuning (736) multi-task learning (2575) representation learning (6206) meta learning (155) low-rank adaptation (560) in-context learning (1405)

Papers

Task Adaptation in Industrial Human-Robot Interaction: Leveraging Riemannian Motion Policies RSS 2024
Towards a Unified Framework for Adaptable Problematic Content Detection via Continual Learning NAACL 2024
Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning AAAI 2024
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation NIPS 2024
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources NIPS 2024
Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use EMNLP 2024
Focused Large Language Models are Stable Many-Shot Learners EMNLP 2024
Adapting LLM Predictions in In-Context Learning with Data Priors EMNLP 2024
Function-Space Regularization in Neural Networks: A Probabilistic Perspective ICML 2023
ViM: Vision Middleware for Unified Downstream Transferring ICCV 2023
Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research JMLR 2023
Combining Active Learning and Task Adaptation with BERT for Cost-Effective Annotation of Social Media Datasets ACL 2023
DETA: Denoised Task Adaptation for Few-Shot Learning ICCV 2023
HyperShot: Few-Shot Learning by Kernel HyperNetworks WACV 2023
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification WACV 2023
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation ACL 2023
Tree Prompting: Efficient Task Adaptation without Fine-Tuning EMNLP 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation ICML 2023
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels ICML 2023
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models NIPS 2023
A Closer Look at Few-shot Classification Again ICML 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths AAAI 2023
A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging AAAI 2023
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation WACV 2023