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Methodology
← Learning Types
Machine Learning
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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
Noether Networks: meta-learning useful conserved quantities
NIPS 2021
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning
AAAI 2021
Learning to Purify Noisy Labels via Meta Soft Label Corrector
AAAI 2021
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework
NIPS 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
NIPS 2021
Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures
JMLR 2021
Prototype Completion With Primitive Knowledge for Few-Shot Learning
CVPR 2021
Knowledge-Aware Meta-learning for Low-Resource Text Classification
EMNLP 2021
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time
NIPS 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning
L4DC 2021
Query Adaptive Few-Shot Object Detection With Heterogeneous Graph Convolutional Networks
ICCV 2021
OpEvo: An Evolutionary Method for Tensor Operator Optimization
AAAI 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
AAAI 2021
Automated Concatenation of Embeddings for Structured Prediction
ACL 2021
Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation
ACL 2021
Towards mental time travel: a hierarchical memory for reinforcement learning agents
NIPS 2021
Meta Gradient Adversarial Attack
ICCV 2021
Posterior Meta-Replay for Continual Learning
NIPS 2021
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
AAAI 2021
Learning to Mutate with Hypergradient Guided Population
NIPS 2020
Learning to Select Base Classes for Few-Shot Classification
CVPR 2020
Rethinking Performance Estimation in Neural Architecture Search
CVPR 2020
EcoNAS: Finding Proxies for Economical Neural Architecture Search
CVPR 2020
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
NIPS 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
NIPS 2020
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