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Machine Learning
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Learning Paradigms
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Meta-Learning
722 directly classified papers
Papers per year
2008: 1
2009: 1
2010: 4
2011: 1
2012: 2
2013: 1
2014: 2
2015: 1
2016: 1
2017: 8
2018: 25
2019: 52
2020: 95
2021: 117
2022: 135
2023: 104
2024: 97
2025: 70
2026: 5
Papers
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
NIPS 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
NIPS 2024
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
NIPS 2024
Learning via Surrogate PAC-Bayes
NIPS 2024
A Metalearned Neural Circuit for Nonparametric Bayesian Inference
NIPS 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
NIPS 2024
Noise-Aware Differentially Private Regression via Meta-Learning
NIPS 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
NIPS 2024
Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding
ACL 2024
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation
ACL 2024
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World
CVPR 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
NIPS 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
NIPS 2024
On the Stability and Generalization of Meta-Learning
NIPS 2024
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler
NIPS 2024
Localized Zeroth-Order Prompt Optimization
NIPS 2024
Automatic Instruction Evolving for Large Language Models
EMNLP 2024
MetaReflection: Learning Instructions for Language Agents using Past Reflections
EMNLP 2024
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
AISTATS 2024
On the Inductive Bias of Stacking Towards Improving Reasoning
NIPS 2024
Characterizing Text Datasets with Psycholinguistic Features
EMNLP 2024
Better by default: Strong pre-tuned MLPs and boosted trees on tabular data
NIPS 2024
Good Meta-tasks Make A Better Cross-lingual Meta-transfer Learning for Low-resource Languages
EMNLP 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
AAAI 2023
Meta-Auxiliary Learning for Adaptive Human Pose Prediction
AAAI 2023
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