| A Primal Dual Formulation For Deep Learning With Constraints | Dec 1, 2019 | Deep LearningEntity Typing | CodeCode Available | 0 | 5 |
| DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy | May 20, 2018 | Bayesian InferenceDeep Learning | CodeCode Available | 0 | 5 |
| DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets | Oct 17, 2024 | Deep LearningFine-Grained Image Classification | CodeCode Available | 0 | 5 |
| Distributional Refinement Network: Distributional Forecasting via Deep Learning | Jun 3, 2024 | Deep Learningregression | CodeCode Available | 0 | 5 |
| DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters | Sep 13, 2019 | Deep LearningFairness | CodeCode Available | 0 | 5 |
| Approximation Theory, Computing, and Deep Learning on the Wasserstein Space | Oct 30, 2023 | Deep Learning | CodeCode Available | 0 | 5 |
| Approximating Poker Probabilities with Deep Learning | Aug 22, 2018 | Card GamesDeep Learning | CodeCode Available | 0 | 5 |
| Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint | Nov 20, 2024 | Deep Learningimbalanced classification | CodeCode Available | 0 | 5 |
| Distributed deep learning on edge-devices: feasibility via adaptive compression | Feb 15, 2017 | BIG-bench Machine LearningCPU | CodeCode Available | 0 | 5 |
| Discovering Implicit Knowledge with Unary Relations | Jul 1, 2018 | Deep LearningKnowledge Base Population | CodeCode Available | 0 | 5 |
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| Dissecting Neural ODEs | Feb 19, 2020 | Deep Learning | CodeCode Available | 0 | 5 |
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| DLL: A Blazing Fast Deep Neural Network Library | Apr 11, 2018 | CPUDeep Learning | CodeCode Available | 0 | 5 |
| DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models | Apr 11, 2024 | Deep Learning | CodeCode Available | 0 | 5 |
| DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling | Nov 16, 2017 | 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 |
| 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 |
| Differential testing for machine learning: an analysis for classification algorithms beyond deep learning | Jul 25, 2022 | Deep Learningsoftware testing | CodeCode Available | 0 | 5 |
| On ADMM in Deep Learning: Convergence and Saturation-Avoidance | Feb 6, 2019 | Deep Learning | CodeCode Available | 0 | 5 |
| Applying Deep Learning to the Newsvendor Problem | Jul 7, 2016 | Deep Learning | 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 |
| Digital Image Forensics using Deep Learning | Oct 14, 2022 | Deep LearningImage Forensics | CodeCode Available | 0 | 5 |
| Direct multi-modal inversion of geophysical logs using deep learning | Nov 29, 2021 | Deep LearningTrajectory Prediction | CodeCode Available | 0 | 5 |
