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 44 篇，第 1 / 1 页

1. CVPR 2025BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices
2. CVPR 2025CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images
3. CVPR 2025CASAGPT: Cuboid Arrangement and Scene Assembly for Interior Design
4. CVPR 2025Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space
5. CVPR 2025From Elements to Design: A Layered Approach for Automatic Graphic Design Composition
6. CVPR 2025Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention
7. ICLR 2025Bayesian Experimental Design Via Contrastive Diffusions
8. ICLR 2025Charting the Design Space of Neural Graph Representations for Subgraph Matching
9. ICLR 2025CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
10. ICLR 2025DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
11. ICLR 2025EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow
12. ICLR 2025FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields
13. ICLR 2025gRNAde: Geometric Deep Learning for 3D RNA inverse design
14. ICLR 2025LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
15. ICLR 2025LASeR: Towards Diversified and Generalizable Robot Design with Large Language Models
16. ICML 2025Chip Placement with Diffusion Models
17. ICML 2025Contract Design Under Approximate Best Responses
18. ICML 2025EGPlace: An Efficient Macro Placement Method via Evolutionary Search with Greedy Repositioning Guided Mutation
19. ICML 2025Fraud-Proof Revenue Division on Subscription Platforms
20. ICML 2025Optimal Auction Design in the Joint Advertising
21. ICML 2025Probabilistic Factorial Experimental Design for Combinatorial Interventions
22. ICML 2025Reliable Algorithm Selection for Machine Learning-Guided Design
23. ICML 2025Safely Learning Optimal Auctions: A Testable Learning Framework for Mechanism Design
24. ICML 2025Simple Randomized Rounding for Max-Min Eigenvalue Augmentation
25. NeurIPS 2025A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing
26. NeurIPS 2025Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
27. NeurIPS 2025Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
28. NeurIPS 2025Convergent Functions, Divergent Forms
29. NeurIPS 2025Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL
30. NeurIPS 2025Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
31. NeurIPS 2025Efficient Bayesian Experiment Design with Equivariant Networks
32. NeurIPS 2025Exploring the Design Space of Diffusion Bridge Models
33. NeurIPS 2025Geometric Algebra-Enhanced Bayesian Flow Network for RNA Inverse Design
34. NeurIPS 2025Hadamax Encoding: Elevating Performance in Model-Free Atari
35. NeurIPS 2025Mechanism Design via the Interim Relaxation
36. NeurIPS 2025MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction
37. NeurIPS 2025Online Experimental Design With Estimation-Regret Trade-off Under Network Interference
38. NeurIPS 2025Procurement Auctions with Predictions: Improved Frugality for Facility Location
39. NeurIPS 2025Protein Design with Dynamic Protein Vocabulary
40. NeurIPS 2025RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
41. NeurIPS 2025Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
42. NeurIPS 2025Spectral Analysis of Diffusion Models with Application to Schedule Design
43. NeurIPS 2025Towards Reliable and Holistic Visual In-Context Learning Prompt Selection
44. NeurIPS 2025VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code

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。