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meta learning

152 papers

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Also known as

METAGRAD MPT ML MAML LAML

Co-occurring keywords

few-shot learning (3390) transfer learning (5442) domain adaptation (4578) reinforcement learning (4122) model compression (3283) representation learning (6174) multi-task learning (2556) bi-level optimization (148) zero-shot learning (3637) variational inference (2069)

Papers

Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection CVPR 2023
Diversity-Aware Meta Visual Prompting CVPR 2023
Learning to Group Auxiliary Datasets for Molecule NIPS 2023
Meta Compositional Referring Expression Segmentation CVPR 2023
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks ICML 2023
Know Where You’re Going: Meta-Learning for Parameter-Efficient Fine-Tuning ACL 2023
Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks JMLR 2023
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation WACV 2023
SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation AAAI 2023
Generating Labeled Data for Relation Extraction: A Meta Learning Approach with Joint GPT-2 Training ACL 2023
Task-aware world model learning with meta weighting via bi-level optimization NIPS 2023
MELTR: Meta Loss Transformer for Learning To Fine-Tune Video Foundation Models CVPR 2023
Making Scalable Meta Learning Practical NIPS 2023
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer CVPR 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning CVPR 2023
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning ACL 2023
Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract) AAAI 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm NIPS 2023
PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios NIPS 2023
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data AAAI 2022
Online No-regret Model-Based Meta RL for Personalized Navigation L4DC 2022
Self-Distillation with Meta Learning for Knowledge Graph Completion EMNLP 2022
Learning Tensor Representations for Meta-Learning AISTATS 2022
Low-Resource Multilingual and Zero-Shot Multispeaker TTS AACL 2022
BERT Learns to Teach: Knowledge Distillation with Meta Learning ACL 2022