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 179 篇，第 3 / 4 页

101. NeurIPS 2025Online Experimental Design With Estimation-Regret Trade-off Under Network Interference
102. NeurIPS 2025Procurement Auctions with Predictions: Improved Frugality for Facility Location
103. NeurIPS 2025Protein Design with Dynamic Protein Vocabulary
104. NeurIPS 2025RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
105. NeurIPS 2025Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
106. NeurIPS 2025Spectral Analysis of Diffusion Models with Application to Schedule Design
107. NeurIPS 2025Towards Reliable and Holistic Visual In-Context Learning Prompt Selection
108. NeurIPS 2025VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code
109. CVPR 2024Discontinuity-preserving Normal Integration with Auxiliary Edges
110. ICLR 2024Adaptive Instrument Design for Indirect Experiments
111. ICLR 2024CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment
112. ICLR 2024Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference
113. ICLR 2024Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
114. ICLR 2024Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
115. ICLR 2024Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
116. ICML 2024A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
117. ICML 2024Bayesian Design Principles for Offline-to-Online Reinforcement Learning
118. ICML 2024CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
119. ICML 2024Differentiable Combinatorial Scheduling at Scale
120. ICML 2024Environment Design for Inverse Reinforcement Learning
121. ICML 2024Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
122. ICML 2024GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation
123. ICML 2024ILILT: Implicit Learning of Inverse Lithography Technologies
124. ICML 2024Integrated Hardware Architecture and Device Placement Search
125. ICML 2024KernelWarehouse: Rethinking the Design of Dynamic Convolution
126. ICML 2024Mechanistic Design and Scaling of Hybrid Architectures
127. ICML 2024MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
128. ICML 2024Nesting Particle Filters for Experimental Design in Dynamical Systems
129. ICML 2024PASOA- PArticle baSed Bayesian Optimal Adaptive design
130. ICML 2024Position: Building Guardrails for Large Language Models Requires Systematic Design
131. ICML 2024Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
132. ICML 2024Reinforcement Learning within Tree Search for Fast Macro Placement
133. ICML 2024RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
134. ICML 2024Structure-based drug design by denoising voxel grids
135. ICML 2024SurfPro: Functional Protein Design Based on Continuous Surface
136. NeurIPS 2024Accelerating ERM for data-driven algorithm design using output-sensitive techniques
137. NeurIPS 2024AFBench: A Large-scale Benchmark for Airfoil Design
138. NeurIPS 2024Amortized Bayesian Experimental Design for Decision-Making
139. NeurIPS 2024Data Acquisition via Experimental Design for Data Markets
140. NeurIPS 2024DOFEN: Deep Oblivious Forest ENsemble
141. NeurIPS 2024Fair Allocation in Dynamic Mechanism Design
142. NeurIPS 2024Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming
143. NeurIPS 2024Generalized Linear Bandits with Limited Adaptivity
144. NeurIPS 2024Learning Optimal Tax Design in Nonatomic Congestion Games
145. NeurIPS 2024Mechanism design augmented with output advice
146. NeurIPS 2024NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design
147. NeurIPS 2024Optimal Design for Human Preference Elicitation
148. NeurIPS 2024Randomized Strategic Facility Location with Predictions
149. NeurIPS 2024Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
150. NeurIPS 2024Targeted Sequential Indirect Experiment Design

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。