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Meta-Learning

1,529 papers

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Papers

An Algorithm for Learning Switched Linear Dynamics from Data NIPS 2022
Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems NIPS 2022
Distributional Reinforcement Learning for Risk-Sensitive Policies NIPS 2022
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning NIPS 2022
Adversarial Task Up-sampling for Meta-learning NIPS 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers NIPS 2022
Model-based Lifelong Reinforcement Learning with Bayesian Exploration NIPS 2022
Triangulation candidates for Bayesian optimization NIPS 2022
Giving Feedback on Interactive Student Programs with Meta-Exploration NIPS 2022
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations NIPS 2022
PAC Prediction Sets for Meta-Learning NIPS 2022
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning NIPS 2022
Learning-Augmented Algorithms for Online Linear and Semidefinite Programming NIPS 2022
On the Optimality Gap of Warm-Started Hyperparameter Optimization AUTOML 2022
Bayesian Generational Population-Based Training AUTOML 2022
ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation AUTOML 2022
Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning AUTOML 2022
Differentiable Architecture Search for Reinforcement Learning AUTOML 2022
Meta-Learning Priors for Safe Bayesian Optimization CORL 2022
Transferring Hierarchical Structures with Dual Meta Imitation Learning CORL 2022
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting CORL 2022
GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation CORL 2022
PLATO: Predicting Latent Affordances Through Object-Centric Play CORL 2022
Hypernetworks in Meta-Reinforcement Learning CORL 2022
Leveraging Language for Accelerated Learning of Tool Manipulation CORL 2022