Meta-Learning

A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations AAAI 2022 A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation NeurIPS 2022 A Flexible Meta Learning Model for Image Registration MIDL 2022 A General Recipe for Likelihood-free Bayesian Optimization ICML 2022 AMAL: Meta Knowledge-Driven Few-Shot Adapter Learning EMNLP 2022 An Algorithm for Learning Switched Linear Dynamics from Data NeurIPS 2022 A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation WACV 2022 ASRtrans at SemEval-2022 Task 4: Ensemble of Tuned Transformer-based Models for PCL Detection SemEval 2022 Asynchronous Personalized Federated Learning with Irregular Clients ACML 2022 A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning NeurIPS 2022 Attentional Meta-learners for Few-shot Polythetic Classification ICML 2022 Audio Anti-spoofing Using Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning Interspeech 2022 A Unified Meta-Learning Framework for Dynamic Transfer Learning IJCAI 2022 A Unified View on PAC-Bayes Bounds for Meta-Learning ICML 2022 Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning JMLR 2022 BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022 Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel NeurIPS 2022 Bayesian Generational Population-Based Training AutoML 2022 Bayesian Optimization under Stochastic Delayed Feedback ICML 2022 b-DARTS: Beta-Decay Regularization for Differentiable Architecture Search CVPR 2022 BERT Learns to Teach: Knowledge Distillation with Meta Learning ACL 2022 Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction EMNLP 2022 Boosting Natural Language Generation from Instructions with Meta-Learning EMNLP 2022 Calibrating CNNs for Few-Shot Meta Learning WACV 2022 Causal Bandits without prior knowledge using separating sets CLeaR 2022