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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
Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation
EMNLP 2024
Building Higher-Order Abstractions from the Components of Recommender Systems
AAAI 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
NIPS 2024
Discovering plasticity rules that organize and maintain neural circuits
NIPS 2024
AcKnowledge: Acquired Knowledge Representation by Small Language Model Without Pre-training
ACL 2024
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components
AISTATS 2024
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
NIPS 2024
Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments
AAAI 2024
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum
AISTATS 2024
Metalearning with Very Few Samples Per Task
COLT 2024
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery
ACL 2024
A Unified Framework for Discovering Discrete Symmetries
AISTATS 2024
Prompt Engineering a Prompt Engineer
ACL 2024
A Meta-Learning Perspective on Transformers for Causal Language Modeling
ACL 2024
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
ACL 2024
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving
ACL 2024
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning
EMNLP 2024
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation
ACL 2024
Learning via Surrogate PAC-Bayes
NIPS 2024
Meta-Task Prompting Elicits Embeddings from Large Language Models
ACL 2024
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
AAAI 2024
Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning
AAAI 2024
Learning to Defer to a Population: A Meta-Learning Approach
AISTATS 2024
Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae
AAAI 2024
Choosy Babies Need One Coach: Inducing Mode-Seeking Behavior in BabyLlama with Reverse KL Divergence
CONLL 2024
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