| CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection | May 29, 2025 | GPUobject-detection | —Unverified | 0 | 0 |
| Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices | May 6, 2021 | Autonomous VehiclesDeep Learning | —Unverified | 0 | 0 |
| Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis | May 14, 2024 | 4kGPU | —Unverified | 0 | 0 |
| Challenging GPU Dominance: When CPUs Outperform for On-Device LLM Inference | May 9, 2025 | CPUGPU | —Unverified | 0 | 0 |
| Changing Base Without Losing Pace: A GPU-Efficient Alternative to MatMul in DNNs | Mar 15, 2025 | GPU | —Unverified | 0 | 0 |
| Channel Merging: Preserving Specialization for Merged Experts | Dec 18, 2024 | Code GenerationGPU | —Unverified | 0 | 0 |
| Characterizing and Efficiently Accelerating Multimodal Generation Model Inference | Sep 30, 2024 | GPUmultimodal generation | —Unverified | 0 | 0 |
| Characterizing and Optimizing LLM Inference Workloads on CPU-GPU Coupled Architectures | Apr 16, 2025 | CPUGPU | —Unverified | 0 | 0 |
| Characterizing and Understanding HGNN Training on GPUs | Jul 16, 2024 | GPURecommendation Systems | —Unverified | 0 | 0 |
| Characterizing Concurrency Mechanisms for NVIDIA GPUs under Deep Learning Workloads | Oct 1, 2021 | Deep LearningGPU | —Unverified | 0 | 0 |
