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| Single Image Depth Estimation: An Overview | Apr 13, 2021 | Deep LearningDepth Estimation | —Unverified | 0 |
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| Detecting Operational Adversarial Examples for Reliable Deep Learning | Apr 13, 2021 | Deep Learning | —Unverified | 0 |
| Machine learning and deep learning | Apr 12, 2021 | BIG-bench Machine LearningDeep Learning | —Unverified | 0 |
| GPflux: A Library for Deep Gaussian Processes | Apr 12, 2021 | Deep LearningGaussian Processes | CodeCode Available | 1 |
| Traffic Forecasting using Vehicle-to-Vehicle Communication | Apr 12, 2021 | Deep Learning | CodeCode Available | 1 |
| Deep Learning for IoT | Apr 12, 2021 | BIG-bench Machine LearningDeep Learning | —Unverified | 0 |
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| The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks | Apr 11, 2021 | Deep Learning | CodeCode Available | 1 |
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| Boosted Embeddings for Time Series Forecasting | Apr 10, 2021 | Deep LearningTime Series | —Unverified | 0 |
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| Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge | Apr 9, 2021 | BIG-bench Machine LearningDeep Learning | —Unverified | 0 |
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| CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data | Apr 8, 2021 | Deep LearningICU Mortality | —Unverified | 0 |
| A Deep Ensemble-based Wireless Receiver Architecture for Mitigating Adversarial Attacks in Automatic Modulation Classification | Apr 8, 2021 | ClassificationDeep Learning | —Unverified | 0 |
| Exact Stochastic Second Order Deep Learning | Apr 8, 2021 | Deep LearningSecond-order methods | —Unverified | 0 |
| Dense Dilated UNet: Deep Learning for 3D Photoacoustic Tomography Image Reconstruction | Apr 7, 2021 | Deep LearningImage Reconstruction | —Unverified | 0 |
| Evaluation of Time Series Forecasting Models for Estimation of PM2.5 Levels in Air | Apr 7, 2021 | Deep LearningTime Series | —Unverified | 0 |
| Synthetic training data generation for deep learning based quality inspection | Apr 7, 2021 | Deep LearningDefect Detection | —Unverified | 0 |
| Proof of the Theory-to-Practice Gap in Deep Learning via Sampling Complexity bounds for Neural Network Approximation Spaces | Apr 6, 2021 | Deep Learning | —Unverified | 0 |
