| Transition Role of Entangled Data in Quantum Machine Learning | Jun 6, 2023 | PredictionQuantum Machine Learning | CodeCode Available | 0 |
| The interplay of robustness and generalization in quantum machine learning | Jun 10, 2025 | Adversarial RobustnessQuantum Machine Learning | CodeCode Available | 0 |
| Quantum enhancements for deep reinforcement learning in large spaces | Oct 28, 2019 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 |
| Quantum Neuron: an elementary building block for machine learning on quantum computers | Nov 30, 2017 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 0 |
| Quantum One-class Classification With a Distance-based Classifier | Jul 31, 2020 | BIG-bench Machine LearningClassification | CodeCode Available | 0 |
| Importance of Kernel Bandwidth in Quantum Machine Learning | Nov 9, 2021 | BIG-bench Machine LearningHyperparameter Optimization | CodeCode Available | 0 |
| Quantum Patch-Based Autoencoder for Anomaly Segmentation | Apr 26, 2024 | Anomaly SegmentationQuantum Machine Learning | CodeCode Available | 0 |
| Benchmarking quantum machine learning kernel training for classification tasks | Aug 17, 2024 | BenchmarkingQuantum Machine Learning | CodeCode Available | 0 |
| Optimal training of variational quantum algorithms without barren plateaus | Apr 29, 2021 | Quantum Machine LearningVisual Question Answering (VQA) | CodeCode Available | 0 |
| Quantum Perceptron Revisited: Computational-Statistical Tradeoffs | Jun 4, 2021 | Quantum Machine Learning | CodeCode Available | 0 |
