Meta-Learning
1,038 papers
Papers per year
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Papers
Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction
IJCAI 2024
Two-stage LLM Fine-tuning with Less Specialization and More Generalization
ICLR 2024
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
ICLR 2024
Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training
AAAI 2024
Visually Guided Audio Source Separation With Meta Consistency Learning
WACV 2024
Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method
AAAI 2024
VRP-SAM: SAM with Visual Reference Prompt
CVPR 2024
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage
AISTATS 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
NeurIPS 2024
Zero-Shot Task Adaptation with Relevant Feature Information
AAAI 2024
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
ICLR 2023
Adaptive Compositional Continual Meta-Learning
ICML 2023
Adaptive Mixing of Auxiliary Losses in Supervised Learning
AAAI 2023
A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging
AAAI 2023
AIO-P: Expanding Neural Performance Predictors beyond Image Classification
AAAI 2023
A Picture of the Space of Typical Learnable Tasks
ICML 2023
Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization
EMNLP 2023
A Simple Recipe to Meta-Learn Forward and Backward Transfer
ICCV 2023
Autoregressive Conditional Neural Processes
ICLR 2023
Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems
AAAI 2023
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning
AAAI 2023
Bi-level Finetuning with Task-dependent Similarity Structure for Low-resource Training
ACL 2023
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start
JMLR 2023
Bilevel Optimization with Coupled Decision-Dependent Distributions
ICML 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
AAAI 2023