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Meta-Learning

1,529 papers

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Papers

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health AAAI 2024
Building Higher-Order Abstractions from the Components of Recommender Systems AAAI 2024
When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract) AAAI 2024
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks ACL 2024
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning ACL 2024
Experiential Co-Learning of Software-Developing Agents ACL 2024
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner ACL 2024
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving ACL 2024
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation ACL 2024
Meta-Task Prompting Elicits Embeddings from Large Language Models ACL 2024
What Do Language Models Learn in Context? The Structured Task Hypothesis. ACL 2024
Iterative Forward Tuning Boosts In-Context Learning in Language Models ACL 2024
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition ACL 2024
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery ACL 2024
Prompt Engineering a Prompt Engineer ACL 2024
XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification ACL 2024
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024
A Meta-Learning Perspective on Transformers for Causal Language Modeling ACL 2024
Cher at KSAA-CAD 2024: Compressing Words and Definitions into the Same Space for Arabic Reverse Dictionary ACL 2024
AcKnowledge: Acquired Knowledge Representation by Small Language Model Without Pre-training ACL 2024
Meta Learning in Bandits within shared affine Subspaces AISTATS 2024
A Unified Framework for Discovering Discrete Symmetries AISTATS 2024
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components AISTATS 2024
Scalable Meta-Learning with Gaussian Processes AISTATS 2024