conftrace_
← Learning Paradigms
Machine Learning › Learning Paradigms ›

Meta-Learning

973 papers

Papers per year

4
1
122
89
'10
'15
'20
'25

Papers

Feed-Forward Latent Domain Adaptation WACV 2024
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks NIPS 2023
Making Scalable Meta Learning Practical NIPS 2023
Improving Language Plasticity via Pretraining with Active Forgetting NIPS 2023
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification NIPS 2023
Meta-Learning Adversarial Bandit Algorithms NIPS 2023
Online Control for Meta-optimization NIPS 2023
L2T-DLN: Learning to Teach with Dynamic Loss Network NIPS 2023
Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition NIPS 2023
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization NIPS 2023
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach NIPS 2023
PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios NIPS 2023
Learning to Group Auxiliary Datasets for Molecule NIPS 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion NIPS 2023
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NIPS 2023
Optimistic Meta-Gradients NIPS 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning NIPS 2023
Learning Functional Transduction NIPS 2023
Mnemosyne: Learning to Train Transformers with Transformers NIPS 2023
Domain-General Crowd Counting in Unseen Scenarios AAAI 2023
SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation AAAI 2023
Multi-Domain Generalized Graph Meta Learning AAAI 2023
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator AAAI 2023
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning AAAI 2023
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning AAAI 2023