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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Gaussian Process Bandits for Top-k Recommendations NIPS 2024
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NIPS 2024
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage AISTATS 2024
Text2Model: Text-based Model Induction for Zero-shot Image Classification EMNLP 2024
When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract) AAAI 2024
Knowledge-centered conversational agents with a drive to learn NAACL 2024
Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation NIPS 2024
EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration AAAI 2024
Scalable Meta-Learning with Gaussian Processes AISTATS 2024
Learning to Retrieve Iteratively for In-Context Learning EMNLP 2024
Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy CVPR 2024
Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation CVPR 2024
Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery NIPS 2024
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator AAAI 2023
Multi-Domain Generalized Graph Meta Learning AAAI 2023
Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters ICCV 2023
Generalizable Neural Fields as Partially Observed Neural Processes ICCV 2023
Nyström Method for Accurate and Scalable Implicit Differentiation AISTATS 2023
Event-based Temporally Dense Optical Flow Estimation with Sequential Learning ICCV 2023
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models ICCV 2023
Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation ICCV 2023
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization ICCV 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation ICCV 2023
Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking EACL 2023