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Meta-Learning

252 papers

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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