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Meta-Learning

222 papers

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Papers

Provable Generalization of Overparameterized Meta-learning Trained with SGD NIPS 2022
Rapid Model Architecture Adaption for Meta-Learning NIPS 2022
Meta-Learning Dynamics Forecasting Using Task Inference NIPS 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts NIPS 2022
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning NIPS 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning NIPS 2022
The least-control principle for local learning at equilibrium NIPS 2022
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds NIPS 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching NIPS 2022
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning AAAI 2022
Cross-Domain Few-Shot Graph Classification AAAI 2022
A Nested Bi-level Optimization Framework for Robust Few Shot Learning AAAI 2022
NeuralArTS: Structuring Neural Architecture Search with Type Theory (Student Abstract) AAAI 2022
Learning to Evolve on Dynamic Graphs (Student Abstract) AAAI 2022
BERT Learns to Teach: Knowledge Distillation with Meta Learning ACL 2022
Meta Convolutional Neural Networks for Single Domain Generalization CVPR 2022
Learning To Learn Across Diverse Data Biases in Deep Face Recognition CVPR 2022
Sketch3T: Test-Time Training for Zero-Shot SBIR CVPR 2022
Sylph: A Hypernetwork Framework for Incremental Few-Shot Object Detection CVPR 2022
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning CVPR 2022
Learning To Learn by Jointly Optimizing Neural Architecture and Weights CVPR 2022
Boosting Natural Language Generation from Instructions with Meta-Learning EMNLP 2022
Active Example Selection for In-Context Learning EMNLP 2022
Meta-Learning Fast Weight Language Models EMNLP 2022
AMAL: Meta Knowledge-Driven Few-Shot Adapter Learning EMNLP 2022