Meta-Learning

Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks NeurIPS 2023 Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization NeurIPS 2023 Efficient Online Decision Tree Learning with Active Feature Acquisition IJCAI 2023 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression NeurIPS 2023 End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes NeurIPS 2023 Enhancing Meta Learning via Multi-Objective Soft Improvement Functions ICLR 2023 Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation ICCV 2023 ENTL: Embodied Navigation Trajectory Learner ICCV 2023 Episodic Multi-Task Learning with Heterogeneous Neural Processes NeurIPS 2023 Equilibrium Point Learning ACML 2023 Event-based Temporally Dense Optical Flow Estimation with Sequential Learning ICCV 2023 Evolving Connectivity for Recurrent Spiking Neural Networks NeurIPS 2023 Exploiting Inferential Structure in Neural Processes UAI 2023 Exploring the Impact of Model Scaling on Parameter-Efficient Tuning EMNLP 2023 FAMO: Fast Adaptive Multitask Optimization NeurIPS 2023 FedL2P: Federated Learning to Personalize NeurIPS 2023 Few-Shot Learning of Compact Models via Task-Specific Meta Distillation WACV 2023 Few-Shot Object Detection via Variational Feature Aggregation AAAI 2023 FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning ACL 2023 Finite-time Koopman Identifier: A Unified Batch-online Learning Framework for Joint Learning of Koopman Structure and Parameters JMLR 2023 Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment AAAI 2023 Full Gradient Deep Reinforcement Learning for Average-Reward Criterion L4DC 2023 GAUCHE: A Library for Gaussian Processes in Chemistry NeurIPS 2023 GEMS: Generating Efficient Meta-Subnets WACV 2023 Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization ICCV 2023