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Meta-Learning

1524 directly classified papers

Papers per year

Papers

SIG: Speaker Identification in Literature via Prompt-Based Generation AAAI 2024
Boosting Model Resilience via Implicit Adversarial Data Augmentation IJCAI 2024
Learning Not to Regret AAAI 2024
Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction AAAI 2024
SynPrompt: Syntax-aware Enhanced Prompt Engineering for Aspect-based Sentiment Analysis COLING 2024
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition ACL 2024
MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning WACV 2024
On the Stability and Generalization of Meta-Learning NIPS 2024
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows IJCAI 2024
BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks EMNLP 2024
Gaussian Process Bandits for Top-k Recommendations NIPS 2024
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy IJCAI 2024
Few-Shot Learning for Cold-Start Recommendation COLING 2024
Knowledge-centered conversational agents with a drive to learn NAACL 2024
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NIPS 2024
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage AISTATS 2024
How Does In-Context Learning Help Prompt Tuning? EACL 2024
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning IJCAI 2024
Learning to Use Tools via Cooperative and Interactive Agents EMNLP 2024
When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract) AAAI 2024
Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation NIPS 2024
EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration AAAI 2024
Scalable Meta-Learning with Gaussian Processes AISTATS 2024
Learning to Retrieve Iteratively for In-Context Learning EMNLP 2024
Learning Logic Programs by Discovering Higher-Order Abstractions IJCAI 2024