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

Papers per year

Papers per venue

Counts by year and venue

Chip Design ML papers by year and venue
YearNeurIPSICLRICMLCVPRTotal
20231348328
202416620143
20252099644
202634918364

Representative papers

Spread across years and venues so every edition shows up

All Chip Design ML papers

43 papers, page 1 of 1

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

Ask about this trend from Claude or Cursor

Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.

Copy this prompt into your assistant

Use paperlist to show how Chip Design ML papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.

Tool the assistant calls: get_topic_stats {"topic": "chip-design-ml"}

Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)

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.

More in Hardware and Compilers