Chip Design ML papers, 2023–2026
EDA and placement
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 179 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 13 | 4 | 8 | 3 | 28 |
| 2024 | 16 | 6 | 20 | 1 | 43 |
| 2025 | 20 | 9 | 9 | 6 | 44 |
| 2026 | 34 | 9 | 18 | 3 | 64 |
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
43 papers, page 1 of 1
- CVPR 2024Discontinuity-preserving Normal Integration with Auxiliary Edges
- ICLR 2024Adaptive Instrument Design for Indirect Experiments
- ICLR 2024CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment
- ICLR 2024Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference
- ICLR 2024Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
- ICLR 2024Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
- ICLR 2024Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
- ICML 2024A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
- ICML 2024Bayesian Design Principles for Offline-to-Online Reinforcement Learning
- ICML 2024CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
- ICML 2024Differentiable Combinatorial Scheduling at Scale
- ICML 2024Environment Design for Inverse Reinforcement Learning
- ICML 2024Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
- ICML 2024GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation
- ICML 2024ILILT: Implicit Learning of Inverse Lithography Technologies
- ICML 2024Integrated Hardware Architecture and Device Placement Search
- ICML 2024KernelWarehouse: Rethinking the Design of Dynamic Convolution
- ICML 2024Mechanistic Design and Scaling of Hybrid Architectures
- ICML 2024MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
- ICML 2024Nesting Particle Filters for Experimental Design in Dynamical Systems
- ICML 2024PASOA- PArticle baSed Bayesian Optimal Adaptive design
- ICML 2024Position: Building Guardrails for Large Language Models Requires Systematic Design
- ICML 2024Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
- ICML 2024Reinforcement Learning within Tree Search for Fast Macro Placement
- ICML 2024RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
- ICML 2024Structure-based drug design by denoising voxel grids
- ICML 2024SurfPro: Functional Protein Design Based on Continuous Surface
- NeurIPS 2024Accelerating ERM for data-driven algorithm design using output-sensitive techniques
- NeurIPS 2024AFBench: A Large-scale Benchmark for Airfoil Design
- NeurIPS 2024Amortized Bayesian Experimental Design for Decision-Making
- NeurIPS 2024Data Acquisition via Experimental Design for Data Markets
- NeurIPS 2024DOFEN: Deep Oblivious Forest ENsemble
- NeurIPS 2024Fair Allocation in Dynamic Mechanism Design
- NeurIPS 2024Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming
- NeurIPS 2024Generalized Linear Bandits with Limited Adaptivity
- NeurIPS 2024Learning Optimal Tax Design in Nonatomic Congestion Games
- NeurIPS 2024Mechanism design augmented with output advice
- NeurIPS 2024NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design
- NeurIPS 2024Optimal Design for Human Preference Elicitation
- NeurIPS 2024Randomized Strategic Facility Location with Predictions
- NeurIPS 2024Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
- NeurIPS 2024Targeted Sequential Indirect Experiment Design
- NeurIPS 2024What Makes Partial-Label Learning Algorithms Effective?
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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.