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← Learning Paradigms
Artificial Intelligence
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Meta-Learning
1524 directly classified papers
Papers per year
2003: 1
2005: 1
2006: 1
2007: 2
2008: 2
2009: 1
2010: 1
2011: 2
2012: 1
2013: 4
2014: 4
2015: 3
2016: 9
2017: 25
2018: 46
2019: 121
2020: 167
2021: 260
2022: 220
2023: 240
2024: 201
2025: 157
2026: 55
Papers
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks
ACL 2021
PROTAUGMENT: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning
ACL 2021
Active Curriculum Learning
ACL 2021
Rational LAMOL: A Rationale-based Lifelong Learning Framework
ACL 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
ACL 2021
Learning to Generate Task-Specific Adapters from Task Description
ACL 2021
Meta-Reinforcement Learning for Mastering Multiple Skills and Generalizing across Environments in Text-based Games
ACL 2021
Competence-based Multimodal Curriculum Learning for Medical Report Generation
ACL 2021
RankNAS: Efficient Neural Architecture Search by Pairwise Ranking
EMNLP 2021
TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification
EMNLP 2021
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation
EMNLP 2021
Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification
EMNLP 2021
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression
EMNLP 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
EMNLP 2021
Meta Distant Transfer Learning for Pre-trained Language Models
EMNLP 2021
Semi-supervised Relation Extraction via Incremental Meta Self-Training
EMNLP 2021
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation
CVPR 2021
Meta-Learning Reliable Priors in the Function Space
NIPS 2021
Automatic Unsupervised Outlier Model Selection
NIPS 2021
Meta-learning with an Adaptive Task Scheduler
NIPS 2021
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization
NIPS 2021
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
NIPS 2021
How Fine-Tuning Allows for Effective Meta-Learning
NIPS 2021
Gradient-based Hyperparameter Optimization Over Long Horizons
NIPS 2021
Hyperparameter Tuning is All You Need for LISTA
NIPS 2021
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