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| Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning | Jun 21, 2022 | Dimensionality ReductionExperimental Design | CodeCode Available | 1 | 5 |
| Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics | Mar 21, 2024 | DeepFake DetectionExperimental Design | CodeCode Available | 1 | 5 |
| Attention-Based Transformers for Instance Segmentation of Cells in Microstructures | Nov 19, 2020 | Cell DetectionCell Segmentation | CodeCode Available | 1 | 5 |
| CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design | Feb 27, 2023 | Experimental Design | CodeCode Available | 1 | 5 |
| Active Task Disambiguation with LLMs | Feb 6, 2025 | Experimental DesignQuestion Selection | CodeCode Available | 1 | 5 |
| A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design | Jul 28, 2023 | Experimental DesignFederated Learning | CodeCode Available | 1 | 5 |
| Correct block-design experiments mitigate temporal correlation bias in EEG classification | Nov 25, 2020 | ClassificationEEG | CodeCode Available | 1 | 5 |
| Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design | Mar 3, 2021 | Experimental Design | CodeCode Available | 1 | 5 |
| Active Learning for Optimal Intervention Design in Causal Models | Sep 10, 2022 | Active LearningExperimental Design | CodeCode Available | 1 | 5 |