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Meta-Learning

722 directly classified papers

Papers per year

Papers

Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework AISTATS 2023
Mitigating Catastrophic Forgetting for Few-Shot Spoken Word Classification Through Meta-Learning INTERSPEECH 2023
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator IJCAI 2023
Learn TAROT with MENTOR: A Meta-Learned Self-Supervised Approach for Trajectory Prediction ICCV 2023
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning ACL 2023
MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning AAAI 2023
Adaptive Compositional Continual Meta-Learning ICML 2023
Improving Bi-level Optimization Based Methods with Inspiration from Humans’ Classroom Study Techniques ICML 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks ICML 2023
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start JMLR 2023
Continual Task Allocation in Meta-Policy Network via Sparse Prompting ICML 2023
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization ICML 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation ICML 2023
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning ACL 2023
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL ICML 2023
On Penalty-based Bilevel Gradient Descent Method ICML 2023
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill ICML 2023
Bilevel Optimization with Coupled Decision-Dependent Distributions ICML 2023
Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers IJCAI 2023
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs ICML 2023
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework ICML 2023
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning ICML 2023
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects ICML 2023
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution ICML 2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification IJCAI 2023