Meta-Learning

Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics ICLR 2023 PA&DA: Jointly Sampling Path and Data for Consistent NAS CVPR 2023 Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition NeurIPS 2023 Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning EACL 2023 Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs ICLR 2023 Physics-Informed Bayesian Optimization of Variational Quantum Circuits NeurIPS 2023 Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once CVPR 2023 Practical Equivariances via Relational Conditional Neural Processes NeurIPS 2023 PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training CoRL 2023 Principled Acceleration of Iterative Numerical Methods Using Machine Learning ICML 2023 Progressive Multi-View Human Mesh Recovery with Self-Supervision AAAI 2023 ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion NeurIPS 2023 Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation ICCV 2023 Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks ICLR 2023 Provable Hierarchy-Based Meta-Reinforcement Learning AISTATS 2023 Provable Pathways: Learning Multiple Tasks over Multiple Paths AAAI 2023 PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization AutoML 2023 Quantum Multi-Agent Meta Reinforcement Learning AAAI 2023 Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation ICML 2023 Random Grid Neural Processes for Parametric Partial Differential Equations ICML 2023 Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback ICCV 2023 Recasting Continual Learning as Sequence Modeling NeurIPS 2023 Recurrent Hypernetworks are Surprisingly Strong in Meta-RL NeurIPS 2023 Regularizing Neural Networks with Meta-Learning Generative Models NeurIPS 2023 Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification NeurIPS 2023