芯片设计 ML论文趋势 2023–2026

主要结论

• 芯片设计 ML论文从 2023 年的 28 篇增长到 2026 年的 64 篇，三年间扩大到约 2.3 倍。
• NeurIPS 是发芯片设计 ML论文最多的会议，2023–2026 年共 83 篇，占四个会议总量的 46%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 9 篇。
• 在「硬件与编译」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的端侧推理是 4.0 倍，芯片设计 ML是 2.3 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 2026ChiP-STAR: Spatial-Topological Attention for Pre-trained Generative Chip Routing
• ICML 2026Order Matters: Unveiling the Hidden Impact of Macro Placement Sequences via Proxy-Guided LLM Evolution
• ICLR 2026How Muon’s Spectral Design Benefits Generalization: A Study on Imbalanced Data
• CVPR 2026PSDesigner Automated Graphic Design with a Human-Like Creative Workflow
• NeurIPS 2025MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction
• ICML 2025Probabilistic Factorial Experimental Design for Combinatorial Interventions
• ICLR 2025LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
• CVPR 2025From Elements to Design: A Layered Approach for Automatic Graphic Design Composition
• NeurIPS 2024AFBench: A Large-scale Benchmark for Airfoil Design
• ICML 2024A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
• ICLR 2024CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment
• CVPR 2024Discontinuity-preserving Normal Integration with Auxiliary Edges
• NeurIPS 2023Circuit as Set of Points
• ICML 2023AbODE: Ab initio antibody design using conjoined ODEs
• ICLR 2023Neural Design for Genetic Perturbation Experiments
• CVPR 2023Visibility Constrained Wide-Band Illumination Spectrum Design for Seeing-in-the-Dark
• NeurIPS 2026DiffCool: Label-Free Synthesis of Chip-Tailored Heat Sinks via Thermal-Aware Diffusion
• ICML 2026Axiomatic Atlas: A Prescriptive Framework for Neural Architecture Design
• ICLR 2026Topology Matters in RTL Circuit Representation Learning
• CVPR 2026FEAT Fashion Editing and Try-On from Any Design

全部芯片设计 ML论文

共 28 篇，第 1 / 1 页

1. ICLR 2026A Joint Diffusion Model with Pre-Trained Priors for RNA Sequence–Structure Co-Design
2. ICLR 2026Expertise Can Be Helpful for Reinforcement Learning-based Macro Placement
3. ICLR 2026Exploring the Design Space of Transition Matching
4. ICLR 2026How Muon’s Spectral Design Benefits Generalization: A Study on Imbalanced Data
5. ICLR 2026Learning AND–OR Templates for Compositional Representation in Art and Design
6. ICLR 2026On the Design of One-step Diffusion via Shortcutting Flow Paths
7. ICLR 2026SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing
8. ICLR 2026Si-GT: Fast Interconnect Signal Integrity Analysis for Integrated Circuit Design via Graph Transformers
9. ICLR 2026Topology Matters in RTL Circuit Representation Learning
10. ICLR 2025Bayesian Experimental Design Via Contrastive Diffusions
11. ICLR 2025Charting the Design Space of Neural Graph Representations for Subgraph Matching
12. ICLR 2025CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
13. ICLR 2025DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
14. ICLR 2025EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow
15. ICLR 2025FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields
16. ICLR 2025gRNAde: Geometric Deep Learning for 3D RNA inverse design
17. ICLR 2025LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
18. ICLR 2025LASeR: Towards Diversified and Generalizable Robot Design with Large Language Models
19. ICLR 2024Adaptive Instrument Design for Indirect Experiments
20. ICLR 2024CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment
21. ICLR 2024Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference
22. ICLR 2024Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
23. ICLR 2024Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
24. ICLR 2024Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
25. ICLR 2023Conditional Antibody Design as 3D Equivariant Graph Translation
26. ICLR 2023DySR: Adaptive Super-Resolution via Algorithm and System Co-design
27. ICLR 2023Neural Design for Genetic Perturbation Experiments
28. ICLR 2023SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments

常见问题

2023–2026 年四大会议一共有多少篇芯片设计 ML论文？

共 179 篇，按年份分别是 2023 年 28 篇、2024 年 43 篇、2025 年 44 篇、2026 年 64 篇。

NeurIPS 2026 有多少篇芯片设计 ML论文？

NeurIPS 2026 有 34 篇芯片设计 ML论文，上一届是 20 篇。

ICLR 2026 有多少篇芯片设计 ML论文？

ICLR 2026 有 9 篇芯片设计 ML论文，上一届是 9 篇。

ICML 2026 有多少篇芯片设计 ML论文？

ICML 2026 有 18 篇芯片设计 ML论文，上一届是 9 篇。

CVPR 2026 有多少篇芯片设计 ML论文？

CVPR 2026 有 3 篇芯片设计 ML论文，上一届是 6 篇。

哪个会议的芯片设计 ML论文最多？

NeurIPS，2023–2026 年共 83 篇。