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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills NIPS 2023
Combining Parameter-efficient Modules for Task-level Generalisation EACL 2023
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning EACL 2023
MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation ICCV 2023
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning ACL 2023
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization NIPS 2023
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design NIPS 2023
Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking EACL 2023
Limitations of Language Models in Arithmetic and Symbolic Induction ACL 2023
Efficient Online Decision Tree Learning with Active Feature Acquisition IJCAI 2023
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference NIPS 2023
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes NIPS 2023
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search NIPS 2023
Practical Equivariances via Relational Conditional Neural Processes NIPS 2023
Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning ACL 2023
Jana: Jointly amortized neural approximation of complex Bayesian models UAI 2023
Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning NIPS 2023
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning NIPS 2023
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning NIPS 2023
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression NIPS 2023
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach NIPS 2023
Exploiting Inferential Structure in Neural Processes UAI 2023
Meta-learning Control Variates: Variance Reduction with Limited Data UAI 2023
Importance-aware Co-teaching for Offline Model-based Optimization NIPS 2023
Lifelong bandit optimization: no prior and no regret UAI 2023