| DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models | Apr 11, 2024 | Deep Learning | CodeCode Available | 0 | 5 |
| Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures | Apr 8, 2022 | Deep LearningDimensionality Reduction | CodeCode Available | 0 | 5 |
| Differential testing for machine learning: an analysis for classification algorithms beyond deep learning | Jul 25, 2022 | Deep Learningsoftware testing | CodeCode Available | 0 | 5 |
| Digital Image Forensics using Deep Learning | Oct 14, 2022 | Deep LearningImage Forensics | CodeCode Available | 0 | 5 |
| Differentially private federated deep learning for multi-site medical image segmentation | Jul 6, 2021 | Deep LearningFederated Learning | CodeCode Available | 0 | 5 |
| Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation? | May 1, 2022 | Decision MakingDeep Learning | CodeCode Available | 0 | 5 |
| DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling | Nov 16, 2017 | Deep Learning | CodeCode Available | 0 | 5 |
| Approximation Theory, Computing, and Deep Learning on the Wasserstein Space | Oct 30, 2023 | Deep Learning | CodeCode Available | 0 | 5 |
| Deep Iterative Surface Normal Estimation | Apr 15, 2019 | Deep LearningSurface Normal Estimation | CodeCode Available | 0 | 5 |
| Approximating Poker Probabilities with Deep Learning | Aug 22, 2018 | Card GamesDeep Learning | CodeCode Available | 0 | 5 |
