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 55 篇，第 1 / 2 页

1. ICML 2026Axiomatic Atlas: A Prescriptive Framework for Neural Architecture Design
2. ICML 2026Design Linear Constrained Neural Layers with Implicit Convex Optimization
3. ICML 2026Design-Based Anytime-Valid Inference for Randomized Experiments with Delayed Outcomes and Staggered Entry
4. ICML 2026Evolution of Benchmark: Black-Box Optimization Benchmark Design through Large Language Model
5. ICML 2026FlashSketch: Sketch-Kernel Co-Design for Fast Sparse Sketching on GPUs
6. ICML 2026Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System
7. ICML 2026Leaderboard Incentives: Model Rankings under Strategic Post-Training
8. ICML 2026Mitigating Plasticity Loss through Architectural Design in Continual Learning
9. ICML 2026Neural Collapse by Design: Learning Class Prototypes on the Hypersphere
10. ICML 2026Nonlinear Covariate Balance in Experimental Design
11. ICML 2026Order Matters: Unveiling the Hidden Impact of Macro Placement Sequences via Proxy-Guided LLM Evolution
12. ICML 2026Overcoming the Incentive Collapse Paradox
13. ICML 2026Prototype Transformer: Towards Language Model Architectures Interpretable by Design
14. ICML 2026ReNF: Rethinking the Design of Neural Long-Term Time Series Forecasters
15. ICML 2026Risk-Averse and Optimistic Advertiser Incentive Compatibility in Auto-bidding
16. ICML 2026RulePlanner: All-in-One Reinforcement Learner for Unifying Design Rules in 3D Floorplanning
17. ICML 2026SiameseNorm: Breaking the Barrier to Reconciling Pre/Post-Norm
18. ICML 2026Zeroth-Order Forward-Only SNN Training Inspiring Neuromorphic On-Chip Learning
19. ICML 2025Chip Placement with Diffusion Models
20. ICML 2025Contract Design Under Approximate Best Responses
21. ICML 2025EGPlace: An Efficient Macro Placement Method via Evolutionary Search with Greedy Repositioning Guided Mutation
22. ICML 2025Fraud-Proof Revenue Division on Subscription Platforms
23. ICML 2025Optimal Auction Design in the Joint Advertising
24. ICML 2025Probabilistic Factorial Experimental Design for Combinatorial Interventions
25. ICML 2025Reliable Algorithm Selection for Machine Learning-Guided Design
26. ICML 2025Safely Learning Optimal Auctions: A Testable Learning Framework for Mechanism Design
27. ICML 2025Simple Randomized Rounding for Max-Min Eigenvalue Augmentation
28. ICML 2024A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
29. ICML 2024Bayesian Design Principles for Offline-to-Online Reinforcement Learning
30. ICML 2024CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
31. ICML 2024Differentiable Combinatorial Scheduling at Scale
32. ICML 2024Environment Design for Inverse Reinforcement Learning
33. ICML 2024Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
34. ICML 2024GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation
35. ICML 2024ILILT: Implicit Learning of Inverse Lithography Technologies
36. ICML 2024Integrated Hardware Architecture and Device Placement Search
37. ICML 2024KernelWarehouse: Rethinking the Design of Dynamic Convolution
38. ICML 2024Mechanistic Design and Scaling of Hybrid Architectures
39. ICML 2024MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
40. ICML 2024Nesting Particle Filters for Experimental Design in Dynamical Systems
41. ICML 2024PASOA- PArticle baSed Bayesian Optimal Adaptive design
42. ICML 2024Position: Building Guardrails for Large Language Models Requires Systematic Design
43. ICML 2024Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
44. ICML 2024Reinforcement Learning within Tree Search for Fast Macro Placement
45. ICML 2024RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
46. ICML 2024Structure-based drug design by denoising voxel grids
47. ICML 2024SurfPro: Functional Protein Design Based on Continuous Surface
48. ICML 2023AbODE: Ab initio antibody design using conjoined ODEs
49. ICML 2023Bayesian Design Principles for Frequentist Sequential Learning
50. ICML 2023ChiPFormer: Transferable Chip Placement via Offline Decision Transformer

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。