Meta-Learning

Learning Functional Transduction NeurIPS 2023 Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning ICML 2023 Learning to Boost Training by Periodic Nowcasting Near Future Weights ICML 2023 Learning to Generalize Provably in Learning to Optimize AISTATS 2023 Learning to Group Auxiliary Datasets for Molecule NeurIPS 2023 Learning to Learn from APIs: Black-Box Data-Free Meta-Learning ICML 2023 Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation CVPR 2023 Learn TAROT with MENTOR: A Meta-Learned Self-Supervised Approach for Trajectory Prediction ICCV 2023 LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework ICML 2023 Let’s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models EMNLP 2023 Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single ICML 2023 Making Scalable Meta Learning Practical NeurIPS 2023 MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-Shot Video Classification WACV 2023 Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer CVPR 2023 Measuring Pointwise 𝒱-Usable Information In-Context-ly EMNLP 2023 Memory-Based Invariance Learning for Out-of-Domain Text Classification EMNLP 2023 Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning JMLR 2023 MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning ACL 2023 Meta-Auxiliary Learning for Adaptive Human Pose Prediction AAAI 2023 Meta-Causal Learning for Single Domain Generalization CVPR 2023 MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL ICML 2023 Meta-domain Adversarial Contrastive Learning for Alleviating Individual Bias in Self-sentiment Predictions Interspeech 2023 MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces ICCV 2023 Meta-forests: Domain generalization on random forests with meta-learning ACML 2023 MetaGCD: Learning to Continually Learn in Generalized Category Discovery ICCV 2023