| 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 |
