Meta-Learning

Short-Term Plasticity Neurons Learning to Learn and Forget ICML 2022 Sketch3T: Test-Time Training for Zero-Shot SBIR CVPR 2022 Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning ICML 2022 Subspace Learning for Effective Meta-Learning ICML 2022 Sylph: A Hypernetwork Framework for Incremental Few-Shot Object Detection CVPR 2022 System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy AISTATS 2022 Task-level Differentially Private Meta Learning NeurIPS 2022 Teaching Humans When to Defer to a Classifier via Exemplars AAAI 2022 Test Time Adaptation via Conjugate Pseudo-labels NeurIPS 2022 The Role of Deconfounding in Meta-learning ICML 2022 Towards Automated Discovery of God-Like Folk Algorithms for Rubik’s Cube AAAI 2022 Towards Learning Universal Hyperparameter Optimizers with Transformers NeurIPS 2022 Towards Multi-Domain Single Image Dehazing via Test-Time Training CVPR 2022 Towards Theoretically Inspired Neural Initialization Optimization NeurIPS 2022 Trace norm regularization for multi-task learning with scarce data COLT 2022 Transfer Learning with Gaussian Processes for Bayesian Optimization AISTATS 2022 Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling ICML 2022 Transformers are Meta-Reinforcement Learners ICML 2022 Understanding Benign Overfitting in Gradient-Based Meta Learning NeurIPS 2022 Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate ICLR 2022 Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning COLING 2022 What Matters for Meta-Learning Vision Regression Tasks? CVPR 2022 When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data ACL 2022 You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation AAAI 2022 Zero-shot AutoML with Pretrained Models ICML 2022