Edge Inference papers, 2023–2026

Key findings

• Edge Inference went from 7 papers in 2023 to 28 in 2026, roughly 4.0x in three years.
• NeurIPS publishes the most Edge Inference work: 21 papers from 2023 to 2026, 38% of the four-venue total.
• The fastest-growing overlap is with Federated Edge Inference: papers tagged with both rose from 3 in 2023 to 15 in 2026.
• Among the 5 topics under Hardware and Compilers, it ranks #4 by 2026 paper count; the fastest grower in the group, Chip Design ML, is up 2.3x versus 4.0x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Edge Inference papers

28 papers, page 1 of 1

1. CVPR 2026E2-SCI Elastic Edge-Cloud Speculative Decoding via Credit Inertia
2. CVPR 2026Edge-Focused Super-Resolution for Omnidirectional Images with Spherical Geometric Augmentation
3. CVPR 2026ESAM Efficient Online 3D Perception on the Edge
4. CVPR 2026Foundry Distilling 3D Foundation Models for the Edge
5. CVPR 2026High-Fidelity Mobile Avatars with Pruned Local Blendshapes
6. CVPR 2026NanoSD Edge Efficient Foundation Model for Real Time Image Restoration
7. ICLR 2026Neural Graduated Assignment for Maximum Common Edge Subgraphs
8. ICLR 2026On the Convergence Direction of Gradient Descent
9. ICLR 2026Tequila: Deadzone-free Ternary Quantization for Large Language Models
10. ICML 2026Benchmarking at the Edge of Comprehension
11. ICML 2026Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization
12. ICML 2026Edge-colored Clustering in Hypergraphs: A MaxECC Approximation
13. ICML 2026Faster Activation Functions at the Edge for Post-Training Speedups
14. ICML 2026Momentum Further Constrains Sharpness at the Edge of Stochastic Stability
15. ICML 2026Non-Euclidean Gradient Descent Operates at the Edge of Stability
16. ICML 2026PipeSD: An Efficient Cloud-Edge Collaborative Pipeline Inference Framework with Speculative Decoding
17. ICML 2026RADE: Random Add-Drop Edge as a Regularizer
18. ICML 2026XTransfer: Modality-Agnostic Few-Shot Model Transfer for Human Sensing at the Edge
19. NeurIPS 2026Computer Use at the Edge of the Statistical Precipice
20. NeurIPS 2026Does Sparse Connectivity Improve Generalization? Convolutional Networks Below the Edge of Stability
21. NeurIPS 2026EAT: Eviction-Aware Training for Long-Context LLM Inference on Edge Devices
22. NeurIPS 2026Edge of Stability Selectively Shapes Learning Across the Data Distribution
23. NeurIPS 2026Edge of Stochastic Stability: Revisiting the Edge of Stability for SGD
24. NeurIPS 2026Generalization at the Edge of Stability
25. NeurIPS 2026Geometry-Constrained Kolmogorov–Arnold Networks: Learning Edge Geometry via Banach Duality
26. NeurIPS 2026MedPsy: State‑of‑the‑Art Small Medical Language Models for Efficient Edge Deployment
27. NeurIPS 2026MoE-SpAc: Efficient MoE Inference Based on Speculative Activation Utility in Heterogeneous Edge Scenario
28. NeurIPS 2026SGD at the Edge of Stability: The Stochastic Sharpness Gap

FAQ

How many Edge Inference papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

55 in total: 7 in 2023, 6 in 2024, 14 in 2025, 28 in 2026.

How many Edge Inference papers are at NeurIPS 2026?

NeurIPS 2026 has 10 Edge Inference papers, versus 7 the year before.

How many Edge Inference papers are at ICLR 2026?

ICLR 2026 has 3 Edge Inference papers, versus 2 the year before.

How many Edge Inference papers are at ICML 2026?

ICML 2026 has 9 Edge Inference papers, versus 3 the year before.

How many Edge Inference papers are at CVPR 2026?

CVPR 2026 has 6 Edge Inference papers, versus 2 the year before.

Which conference publishes the most Edge Inference papers?

NeurIPS, with 21 papers from 2023 to 2026.