| Automating Generation of Low Precision Deep Learning Operators | Oct 25, 2018 | CPUDeep Learning | —Unverified | 0 | 0 |
| AutoScale: Optimizing Energy Efficiency of End-to-End Edge Inference under Stochastic Variance | May 6, 2020 | CPU | —Unverified | 0 | 0 |
| Auto-tuning TensorFlow Threading Model for CPU Backend | Dec 4, 2018 | BenchmarkingCPU | —Unverified | 0 | 0 |
| A Variant of Concurrent Constraint Programming on GPU | Jul 18, 2022 | CPUGPU | —Unverified | 0 | 0 |
| A Versatile Learning-Based 3D Temporal Tracker: Scalable, Robust, Online | Dec 1, 2015 | CPUOcclusion Handling | —Unverified | 0 | 0 |
| A Web-Based Solution for Federated Learning with LLM-Based Automation | Aug 23, 2024 | CPUFederated Learning | —Unverified | 0 | 0 |
| aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis | Apr 13, 2025 | CPUGPU | —Unverified | 0 | 0 |
| Back to Patterns: Efficient Japanese Morphological Analysis with Feature-Sequence Trie | May 30, 2023 | CPUMorphological Analysis | —Unverified | 0 | 0 |
| Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration | Feb 18, 2020 | CPUGPU | —Unverified | 0 | 0 |
| Bang for the Buck: Vector Search on Cloud CPUs | May 12, 2025 | CPUQuantization | —Unverified | 0 | 0 |
