Chip Design ML papers, 2023–2026

Key findings

• Chip Design ML went from 28 papers in 2023 to 64 in 2026, roughly 2.3x in three years.
• NeurIPS publishes the most Chip Design ML work: 83 papers from 2023 to 2026, 46% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 0 in 2023 to 9 in 2026.
• Among the 5 topics under Hardware and Compilers, it ranks #2 by 2026 paper count; the fastest grower in the group, Edge Inference, is up 4.0x versus 2.3x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Chip Design ML papers

179 papers, page 4 of 4

151. NeurIPS 2024What Makes Partial-Label Learning Algorithms Effective?
152. CVPR 2023DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network
153. CVPR 2023Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization
154. CVPR 2023Visibility Constrained Wide-Band Illumination Spectrum Design for Seeing-in-the-Dark
155. ICLR 2023Conditional Antibody Design as 3D Equivariant Graph Translation
156. ICLR 2023DySR: Adaptive Super-Resolution via Algorithm and System Co-design
157. ICLR 2023Neural Design for Genetic Perturbation Experiments
158. ICLR 2023SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments
159. ICML 2023AbODE: Ab initio antibody design using conjoined ODEs
160. ICML 2023Bayesian Design Principles for Frequentist Sequential Learning
161. ICML 2023ChiPFormer: Transferable Chip Placement via Offline Decision Transformer
162. ICML 2023End-to-End Full-Atom Antibody Design
163. ICML 2023Importance Weighted Expectation-Maximization for Protein Sequence Design
164. ICML 2023Learning Subpocket Prototypes for Generalizable Structure-based Drug Design
165. ICML 2023Online Mechanism Design for Information Acquisition
166. ICML 2023Task-specific experimental design for treatment effect estimation
167. NeurIPS 2023AQuA: A Benchmarking Tool for Label Quality Assessment
168. NeurIPS 2023Circuit as Set of Points
169. NeurIPS 2023Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games
170. NeurIPS 2023Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations
171. NeurIPS 2023Deep Contract Design via Discontinuous Networks
172. NeurIPS 2023Experimental Designs for Heteroskedastic Variance
173. NeurIPS 2023Macro Placement by Wire-Mask-Guided Black-Box Optimization
174. NeurIPS 2023Mechanism Design for Collaborative Normal Mean Estimation
175. NeurIPS 2023Mode Connectivity in Auction Design
176. NeurIPS 2023On the Robustness of Mechanism Design under Total Variation Distance
177. NeurIPS 2023ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers
178. NeurIPS 2023Refined Mechanism Design for Approximately Structured Priors via Active Regression
179. NeurIPS 2023Utilitarian Algorithm Configuration

FAQ

How many Chip Design ML papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

179 in total: 28 in 2023, 43 in 2024, 44 in 2025, 64 in 2026.

How many Chip Design ML papers are at NeurIPS 2026?

NeurIPS 2026 has 34 Chip Design ML papers, versus 20 the year before.

How many Chip Design ML papers are at ICLR 2026?

ICLR 2026 has 9 Chip Design ML papers, versus 9 the year before.

How many Chip Design ML papers are at ICML 2026?

ICML 2026 has 18 Chip Design ML papers, versus 9 the year before.

How many Chip Design ML papers are at CVPR 2026?

CVPR 2026 has 3 Chip Design ML papers, versus 6 the year before.

Which conference publishes the most Chip Design ML papers?

NeurIPS, with 83 papers from 2023 to 2026.