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 83 篇，第 2 / 2 页

51. NeurIPS 2025Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
52. NeurIPS 2025Spectral Analysis of Diffusion Models with Application to Schedule Design
53. NeurIPS 2025Towards Reliable and Holistic Visual In-Context Learning Prompt Selection
54. NeurIPS 2025VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code
55. NeurIPS 2024Accelerating ERM for data-driven algorithm design using output-sensitive techniques
56. NeurIPS 2024AFBench: A Large-scale Benchmark for Airfoil Design
57. NeurIPS 2024Amortized Bayesian Experimental Design for Decision-Making
58. NeurIPS 2024Data Acquisition via Experimental Design for Data Markets
59. NeurIPS 2024DOFEN: Deep Oblivious Forest ENsemble
60. NeurIPS 2024Fair Allocation in Dynamic Mechanism Design
61. NeurIPS 2024Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming
62. NeurIPS 2024Generalized Linear Bandits with Limited Adaptivity
63. NeurIPS 2024Learning Optimal Tax Design in Nonatomic Congestion Games
64. NeurIPS 2024Mechanism design augmented with output advice
65. NeurIPS 2024NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design
66. NeurIPS 2024Optimal Design for Human Preference Elicitation
67. NeurIPS 2024Randomized Strategic Facility Location with Predictions
68. NeurIPS 2024Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
69. NeurIPS 2024Targeted Sequential Indirect Experiment Design
70. NeurIPS 2024What Makes Partial-Label Learning Algorithms Effective?
71. NeurIPS 2023AQuA: A Benchmarking Tool for Label Quality Assessment
72. NeurIPS 2023Circuit as Set of Points
73. NeurIPS 2023Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games
74. NeurIPS 2023Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations
75. NeurIPS 2023Deep Contract Design via Discontinuous Networks
76. NeurIPS 2023Experimental Designs for Heteroskedastic Variance
77. NeurIPS 2023Macro Placement by Wire-Mask-Guided Black-Box Optimization
78. NeurIPS 2023Mechanism Design for Collaborative Normal Mean Estimation
79. NeurIPS 2023Mode Connectivity in Auction Design
80. NeurIPS 2023On the Robustness of Mechanism Design under Total Variation Distance
81. NeurIPS 2023ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers
82. NeurIPS 2023Refined Mechanism Design for Approximately Structured Priors via Active Regression
83. NeurIPS 2023Utilitarian Algorithm Configuration

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。