| MG-GCN: Scalable Multi-GPU GCN Training Framework | Oct 17, 2021 | GPU | CodeCode Available | 0 | 5 |
| EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching | Jul 20, 2022 | GPUimage-classification | CodeCode Available | 0 | 5 |
| Message Scheduling for Performant, Many-Core Belief Propagation | Sep 24, 2019 | GPUProtein Folding | CodeCode Available | 0 | 5 |
| E2GC: Energy-efficient Group Convolution in Deep Neural Networks | Jun 26, 2020 | GPUimage-classification | CodeCode Available | 0 | 5 |
| A Case for Library-Level k-Means Binning in Histogram Gradient-Boosted Trees | May 18, 2025 | GPU | CodeCode Available | 0 | 5 |
| Memory-Efficient Implementation of DenseNets | Jul 21, 2017 | GPU | CodeCode Available | 0 | 5 |
| Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images | May 31, 2022 | GPUImage Segmentation | CodeCode Available | 0 | 5 |
| A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology | Apr 9, 2025 | Cell DetectionComputational Efficiency | CodeCode Available | 0 | 5 |
| Dynamic Risk Assessments for Offensive Cybersecurity Agents | May 23, 2025 | GPU | CodeCode Available | 0 | 5 |
| Biomedical Named Entity Recognition at Scale | Nov 12, 2020 | De-identificationEntity Resolution | CodeCode Available | 0 | 5 |
| MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning | Dec 18, 2019 | GPUPlaying the Game of 2048 | CodeCode Available | 0 | 5 |
| BindsNET: A machine learning-oriented spiking neural networks library in Python | Jun 4, 2018 | BIG-bench Machine LearningCPU | CodeCode Available | 0 | 5 |
| Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation | May 25, 2023 | Data AugmentationGPU | CodeCode Available | 0 | 5 |
| A Comparative Measurement Study of Deep Learning as a Service Framework | Oct 29, 2018 | CPUGPU | CodeCode Available | 0 | 5 |
| Megapixel Image Generation with Step-Unrolled Denoising Autoencoders | Jun 24, 2022 | DenoisingGPU | CodeCode Available | 0 | 5 |
| Binarized Neural Networks | Feb 8, 2016 | GPU | CodeCode Available | 0 | 5 |
| DYAD: A Descriptive Yet Abjuring Density efficient approximation to linear neural network layers | Dec 11, 2023 | DescriptiveGPU | CodeCode Available | 0 | 5 |
| Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design Recommendations | Mar 13, 2024 | CPUGPU | CodeCode Available | 0 | 5 |
| Duet: efficient and scalable hybriD neUral rElation undersTanding | Jul 25, 2023 | CPUGPU | CodeCode Available | 0 | 5 |
| Bilinear CNNs for Fine-grained Visual Recognition | Apr 29, 2015 | Fine-Grained Image ClassificationFine-Grained Visual Recognition | CodeCode Available | 0 | 5 |
| maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUs | Jan 27, 2015 | Computational EfficiencyDeep Learning | CodeCode Available | 0 | 5 |
| BiFeat: Supercharge GNN Training via Graph Feature Quantization | Jul 29, 2022 | GPUQuantization | CodeCode Available | 0 | 5 |
| Matrix Factorization on GPUs with Memory Optimization and Approximate Computing | Aug 11, 2018 | Collaborative FilteringCPU | CodeCode Available | 0 | 5 |
| FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPU | Apr 17, 2024 | Face RecognitionGPU | CodeCode Available | 0 | 5 |
| Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks | May 20, 2016 | GPU | CodeCode Available | 0 | 5 |
