Meta-Learning
1,038 papers
Papers per year
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4
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4
10
37
75
127
168
183
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99
18
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Papers
EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration
AAAI 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
NeurIPS 2024
Fairness-Aware Meta-Learning via Nash Bargaining
NeurIPS 2024
FedAvP: Augment Local Data via Shared Policy in Federated Learning
NeurIPS 2024
Feed-Forward Latent Domain Adaptation
WACV 2024
Fine-Grained Prototypes Distillation for Few-Shot Object Detection
AAAI 2024
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs
NeurIPS 2024
First-order ANIL provably learns representations despite overparametrisation
ICLR 2024
First-Order Minimax Bilevel Optimization
NeurIPS 2024
FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer
WACV 2024
FREE: Faster and Better Data-Free Meta-Learning
CVPR 2024
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
NeurIPS 2024
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations
AAAI 2024
GRADUAL: Granularity-aware Dual Prototype Learning for Better Few-Shot Relation Extraction
ACL 2024
Hacking Task Confounder in Meta-Learning
IJCAI 2024
HyperFast: Instant Classification for Tabular Data
AAAI 2024
IAD: In-Context Learning Ability Decoupler of Large Language Models in Meta-Training
COLING 2024
Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
ICLR 2024
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks
EMNLP 2024
Improving Convergence and Generalization Using Parameter Symmetries
ICLR 2024
Information-theoretic Analysis of Bayesian Test Data Sensitivity
AISTATS 2024
Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer for Question Answering
NAACL 2024
Knowledge Fusion By Evolving Weights of Language Models
ACL 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
CVPR 2024
Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training
AAAI 2024