Meta-Learning
252 papers
Papers per year
1
1
2
13
27
37
45
37
40
25
16
8
'20
'25
Papers
Learning To Learn Across Diverse Data Biases in Deep Face Recognition
CVPR 2022
Learning To Learn by Jointly Optimizing Neural Architecture and Weights
CVPR 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching
NeurIPS 2022
MAML is a Noisy Contrastive Learner in Classification
ICLR 2022
Meta Convolutional Neural Networks for Single Domain Generalization
CVPR 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
NeurIPS 2022
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning
CVPR 2022
Meta-Learning Dynamics Forecasting Using Task Inference
NeurIPS 2022
Meta-Learning Fast Weight Language Models
EMNLP 2022
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning
AAAI 2022
Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach
NeurIPS 2022
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning
NeurIPS 2022
Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection Using Meta-Learning
WACV 2022
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search
ICML 2022
NeuralArTS: Structuring Neural Architecture Search with Type Theory (Student Abstract)
AAAI 2022
Offline Meta-Reinforcement Learning with Online Self-Supervision
ICML 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning
NeurIPS 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD
NeurIPS 2022
Rapid Model Architecture Adaption for Meta-Learning
NeurIPS 2022
Set-based Meta-Interpolation for Few-Task Meta-Learning
NeurIPS 2022
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative
ICLR 2022
Sketch3T: Test-Time Training for Zero-Shot SBIR
CVPR 2022
Sylph: A Hypernetwork Framework for Incremental Few-Shot Object Detection
CVPR 2022
The Close Relationship Between Contrastive Learning and Meta-Learning
ICLR 2022
The least-control principle for local learning at equilibrium
NeurIPS 2022