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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search ICML 2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning CVPR 2022
What Matters for Meta-Learning Vision Regression Tasks? CVPR 2022
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation CVPR 2022
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning CVPR 2022
Learning To Learn by Jointly Optimizing Neural Architecture and Weights CVPR 2022
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-Learning CVPR 2022
Offline Meta-Reinforcement Learning with Online Self-Supervision ICML 2022
Transformers are Meta-Reinforcement Learners ICML 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making ICML 2022
MetaPrompting: Learning to Learn Better Prompts COLING 2022
GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation CORL 2022
Low-Resource Multilingual and Zero-Shot Multispeaker TTS IJCNLP 2022
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting CORL 2022
Imitation Learning by Estimating Expertise of Demonstrators ICML 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning ICML 2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations ICML 2022
The Role of Deconfounding in Meta-learning ICML 2022
Online No-regret Model-Based Meta RL for Personalized Navigation L4DC 2022
Missing Modality meets Meta Sampling (M3S): An Efficient Universal Approach for Multimodal Sentiment Analysis with Missing Modality AACL 2022
Zero-shot AutoML with Pretrained Models ICML 2022
Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning ICML 2022
Attentional Meta-learners for Few-shot Polythetic Classification ICML 2022
MAML and ANIL Provably Learn Representations ICML 2022
Neural Contextual Bandits without Regret AISTATS 2022