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Meta-Learning
357 directly classified papers
Papers per year
2006: 1
2008: 1
2012: 1
2014: 2
2016: 3
2017: 3
2018: 12
2019: 27
2020: 38
2021: 67
2022: 65
2023: 51
2024: 49
2025: 30
2026: 7
Papers
Noisy Correspondence Learning With Meta Similarity Correction
CVPR 2023
Mnemosyne: Learning to Train Transformers with Transformers
NIPS 2023
A Picture of the Space of Typical Learnable Tasks
ICML 2023
Meta-Auxiliary Learning for Adaptive Human Pose Prediction
AAAI 2023
Learning Deep Time-index Models for Time Series Forecasting
ICML 2023
Let’s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
EMNLP 2023
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
ICCV 2023
Finding Support Examples for In-Context Learning
EMNLP 2023
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects
ICML 2023
Memory-Based Invariance Learning for Out-of-Domain Text Classification
EMNLP 2023
Principled Acceleration of Iterative Numerical Methods Using Machine Learning
ICML 2023
Generating Labeled Data for Relation Extraction: A Meta Learning Approach with Joint GPT-2 Training
ACL 2023
Dataset Distillation with Convexified Implicit Gradients
ICML 2023
Universal Information Extraction with Meta-Pretrained Self-Retrieval
ACL 2023
Task-adaptive Label Dependency Transfer for Few-shot Named Entity Recognition
ACL 2023
Know Where You’re Going: Meta-Learning for Parameter-Efficient Fine-Tuning
ACL 2023
Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning
ICML 2023
Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization
EMNLP 2023
Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning
ACL 2023
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
ICML 2023
Teaching to Learn: Sequential Teaching of Learners with Internal States
AAAI 2023
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning
AAAI 2023
Transformers Learn In-Context by Gradient Descent
ICML 2023
Meta-learning for Robust Anomaly Detection
AISTATS 2023
AIO-P: Expanding Neural Performance Predictors beyond Image Classification
AAAI 2023
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