| Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection | Apr 5, 2022 | Anomaly DetectionDensity Estimation | —Unverified | 0 |
| Model Based Meta Learning of Critics for Policy Gradients | Apr 5, 2022 | Meta-Learning | —Unverified | 0 |
| Towards Explainable Meta-Learning for DDoS Detection | Apr 5, 2022 | Intrusion DetectionMeta-Learning | —Unverified | 0 |
| Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning | Apr 4, 2022 | BIG-bench Machine LearningInductive Bias | CodeCode Available | 0 |
| Context-aware Visual Tracking with Joint Meta-updating | Apr 4, 2022 | Meta-LearningObject Tracking | —Unverified | 0 |
| Meta-Learning Approaches for a One-Shot Collective-Decision Aggregation: Correctly Choosing how to Choose Correctly | Apr 3, 2022 | Decision MakingFeature Engineering | —Unverified | 0 |
| A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations | Apr 3, 2022 | Meta-LearningRecommendation Systems | —Unverified | 0 |
| AutoProtoNet: Interpretability for Prototypical Networks | Apr 2, 2022 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 |
| Scalable Semi-Modular Inference with Variational Meta-Posteriors | Apr 1, 2022 | Bayesian InferenceMeta-Learning | CodeCode Available | 0 |
| Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations | Apr 1, 2022 | Domain AdaptationMeta-Learning | CodeCode Available | 0 |
| On the Efficiency of Integrating Self-supervised Learning and Meta-learning for User-defined Few-shot Keyword Spotting | Apr 1, 2022 | Few-Shot LearningKeyword Spotting | —Unverified | 0 |
| Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines | Mar 31, 2022 | Meta-LearningVariational Inference | —Unverified | 0 |
| Improved Relation Networks for End-to-End Speaker Verification and Identification | Mar 31, 2022 | Meta-LearningRelation | —Unverified | 0 |
| Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks | Mar 31, 2022 | class-incremental learningClass Incremental Learning | CodeCode Available | 1 |
| FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations | Mar 30, 2022 | Meta-LearningNovel Concepts | —Unverified | 0 |
| Higher-Order Generalization Bounds: Learning Deep Probabilistic Programs via PAC-Bayes Objectives | Mar 30, 2022 | Generalization BoundsMeta-Learning | —Unverified | 0 |
| Supervised Graph Contrastive Learning for Few-shot Node Classification | Mar 29, 2022 | ClassificationContrastive Learning | —Unverified | 0 |
| Exploring Frequency Adversarial Attacks for Face Forgery Detection | Mar 29, 2022 | Adversarial AttackMeta-Learning | —Unverified | 0 |
| Kernel Modulation: A Parameter-Efficient Method for Training Convolutional Neural Networks | Mar 29, 2022 | Meta-LearningModel Compression | —Unverified | 0 |
| Zero-shot meta-learning for small-scale data from human subjects | Mar 29, 2022 | Meta-LearningZero-Shot Learning | —Unverified | 0 |
| Boosting Black-Box Adversarial Attacks with Meta Learning | Mar 28, 2022 | Adversarial AttackMeta-Learning | —Unverified | 0 |
| Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division | Mar 28, 2022 | Imitation LearningMeta-Learning | CodeCode Available | 0 |
| A Framework of Meta Functional Learning for Regularising Knowledge Transfer | Mar 28, 2022 | Cross-Domain Few-Shotcross-domain few-shot learning | —Unverified | 0 |
| Style-Guided Domain Adaptation for Face Presentation Attack Detection | Mar 28, 2022 | Domain AdaptationDomain Generalization | —Unverified | 0 |
| Sketch3T: Test-Time Training for Zero-Shot SBIR | Mar 28, 2022 | Image RetrievalMeta-Learning | —Unverified | 0 |
