| Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets | Feb 2, 2017 | Anomaly DetectionDeep Learning | —Unverified | 0 |
| Recurring the Transformer for Video Action Recognition | Jan 1, 2022 | Action RecognitionGPU | —Unverified | 0 |
| Recursive Context Propagation Network for Semantic Scene Labeling | Dec 1, 2014 | GPUScene Labeling | —Unverified | 0 |
| Re-designing cities with conditional adversarial networks | Apr 8, 2021 | Generative Adversarial NetworkGPU | —Unverified | 0 |
| ReDistill: Residual Encoded Distillation for Peak Memory Reduction | Jun 6, 2024 | DenoisingGPU | —Unverified | 0 |
| RedSync : Reducing Synchronization Traffic for Distributed Deep Learning | Aug 13, 2018 | Deep LearningGPU | —Unverified | 0 |
| Reduce Computational Complexity for Convolutional Layers by Skipping Zeros | Jun 28, 2023 | GPU | —Unverified | 0 |
| Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection | Mar 19, 2025 | Anomaly DetectionFederated Learning | —Unverified | 0 |
| Reducing Memory Requirements for the IPU using Butterfly Factorizations | Sep 16, 2023 | GPU | —Unverified | 0 |
| Reducing the Barriers to Entry for Foundation Model Training | Apr 12, 2024 | GPU | —Unverified | 0 |
