端侧推理论文趋势 2023–2026

主要结论

• 端侧推理论文从 2023 年的 7 篇增长到 2026 年的 28 篇，三年间扩大到约 4.0 倍。
• NeurIPS 是发端侧推理论文最多的会议，2023–2026 年共 21 篇，占四个会议总量的 38%。
• 交叉方向里涨得最快的是联邦边缘推理：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 15 篇。
• 在「硬件与编译」的 5 个主题里，它的 2026 年论文数排第 4；同组增长最快的芯片设计 ML是 2.3 倍，端侧推理是 4.0 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026Does Sparse Connectivity Improve Generalization? Convolutional Networks Below the Edge of Stability
• ICML 2026Faster Activation Functions at the Edge for Post-Training Speedups
• ICLR 2026Neural Graduated Assignment for Maximum Common Edge Subgraphs
• CVPR 2026E2-SCI Elastic Edge-Cloud Speculative Decoding via Credit Inertia
• NeurIPS 2025CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment
• ICML 2025Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges
• ICLR 2025Grokking at the Edge of Numerical Stability
• CVPR 2025QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
• NeurIPS 2024Stepping on the Edge: Curvature Aware Learning Rate Tuners
• CVPR 20243D Neural Edge Reconstruction
• NeurIPS 2023From Trainable Negative Depth to Edge Heterophily in Graphs
• ICML 2023Second-order regression models exhibit progressive sharpening to the edge of stability
• ICLR 2023Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
• CVPR 2023The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector
• NeurIPS 2026Edge of Stability Selectively Shapes Learning Across the Data Distribution
• ICML 2026PipeSD: An Efficient Cloud-Edge Collaborative Pipeline Inference Framework with Speculative Decoding
• ICLR 2026Tequila: Deadzone-free Ternary Quantization for Large Language Models
• CVPR 2026Edge-Focused Super-Resolution for Omnidirectional Images with Spherical Geometric Augmentation
• NeurIPS 2025Sim-LLM: Optimizing LLM Inference at the Edge through Inter-Task KV Reuse
• ICML 2025Towards characterizing the value of edge embeddings in Graph Neural Networks

全部端侧推理论文

共 14 篇，第 1 / 1 页

1. CVPR 2025EdgeMovingNet: Edge-preserving Point Cloud Reconstruction via Joint Geometry Features
2. CVPR 2025QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
3. ICLR 2025Grokking at the Edge of Numerical Stability
4. ICLR 2025Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability
5. ICML 2025Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges
6. ICML 2025Grokking at the Edge of Linear Separability
7. ICML 2025Towards characterizing the value of edge embeddings in Graph Neural Networks
8. NeurIPS 2025CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction
9. NeurIPS 2025CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment
10. NeurIPS 2025On the Edge of Memorization in Diffusion Models
11. NeurIPS 2025Sim-LLM: Optimizing LLM Inference at the Edge through Inter-Task KV Reuse
12. NeurIPS 2025Structure-Aware Spectral Sparsification via Uniform Edge Sampling
13. NeurIPS 2025Transfer Learning on Edge Connecting Probability Estimation Under Graphon Model
14. NeurIPS 2025Variational Learning Finds Flatter Solutions at the Edge of Stability

常见问题

2023–2026 年四大会议一共有多少篇端侧推理论文？

共 55 篇，按年份分别是 2023 年 7 篇、2024 年 6 篇、2025 年 14 篇、2026 年 28 篇。

NeurIPS 2026 有多少篇端侧推理论文？

NeurIPS 2026 有 10 篇端侧推理论文，上一届是 7 篇。

ICLR 2026 有多少篇端侧推理论文？

ICLR 2026 有 3 篇端侧推理论文，上一届是 2 篇。

ICML 2026 有多少篇端侧推理论文？

ICML 2026 有 9 篇端侧推理论文，上一届是 3 篇。

CVPR 2026 有多少篇端侧推理论文？

CVPR 2026 有 6 篇端侧推理论文，上一届是 2 篇。

哪个会议的端侧推理论文最多？

NeurIPS，2023–2026 年共 21 篇。