| From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis | Dec 7, 2023 | AllSentiment Analysis | CodeCode Available | 0 | 5 |
| A Descriptor Is All You Need: Accurate Machine Learning of Nonadiabatic Coupling Vectors | May 29, 2025 | All | CodeCode Available | 0 | 5 |
| FreeAugment: Data Augmentation Search Across All Degrees of Freedom | Sep 7, 2024 | AllData Augmentation | CodeCode Available | 0 | 5 |
| Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Cross-Lingual Text Classification | Jan 31, 2019 | AllClassification | CodeCode Available | 0 | 5 |
| Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models | Oct 30, 2023 | AllInference Attack | CodeCode Available | 0 | 5 |
| All-to-all reconfigurability with sparse and higher-order Ising machines | Nov 21, 2023 | AllCombinatorial Optimization | CodeCode Available | 0 | 5 |
| Addition is almost all you need: Compressing neural networks with double binary factorization | May 16, 2025 | AllBinarization | CodeCode Available | 0 | 5 |
| One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategies | Feb 12, 2018 | AllDeep Learning | CodeCode Available | 0 | 5 |
| Formation of cell assemblies with iterative winners-take-all computation and excitation-inhibition balance | Aug 2, 2021 | All | CodeCode Available | 0 | 5 |
| FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation | Nov 19, 2020 | AllRolling Shutter Correction | CodeCode Available | 0 | 5 |
