芯片设计 ML论文趋势 2023–2026

EDA 与布局

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 179 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

芯片设计 ML论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20231348328
202416620143
20252099644
202634918364

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

全部芯片设计 ML论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 83 篇，第 1 / 2 页

  1. NeurIPS 2026$R^2E$: A Role-driven Reward Evolutionary Framework for Automated Reward Function Design
  2. NeurIPS 2026A Generalized Tikhonov Layer for Interpretable-by-design Graph Neural Networks
  3. NeurIPS 2026An Equivariance Principle for Optimizer Design: Symmetry-Compatible Updates for Embeddings, LM Heads, and MoE Routers
  4. NeurIPS 2026AutoManifold: Agentic Design of Data Visualisation Algorithms via Manifold Embedding
  5. NeurIPS 2026ChiP-STAR: Spatial-Topological Attention for Pre-trained Generative Chip Routing
  6. NeurIPS 2026Computational Dynamic Mechanism Design
  7. NeurIPS 2026DiffCool: Label-Free Synthesis of Chip-Tailored Heat Sinks via Thermal-Aware Diffusion
  8. NeurIPS 2026Differentiating Network Design Objectives for Balancing Cost and Distance
  9. NeurIPS 2026EGCA: A Spectral Perspective on Forward Process Design in Diffusion Models
  10. NeurIPS 2026GenAI Evaluation Results are Largely Artifacts of Evaluation Design Choices: Evidence from Audit Studies of Resume Screening
  11. NeurIPS 2026HSCO-Bench: An Agent-Driven End-to-End Hardware-Software Co-design Benchmark for Systems-on-Chip
  12. NeurIPS 2026Large Language Models Enhanced Covariate-adjusted Response-adaptive Randomization Design
  13. NeurIPS 2026LLM Judge Validation Under Sparse Overlap: From Inference to Design
  14. NeurIPS 2026Locality-Controlled OOD Guidance for Robust Regulatory DNA Sequence Design
  15. NeurIPS 2026Maximin Robust Bayesian Experimental Design
  16. NeurIPS 2026Mechanism Design for AI Overviews: Creator Incentives and Long-Term Profit
  17. NeurIPS 2026Mechanistic Critics for Sample-Efficient NPU Design-Space Exploration
  18. NeurIPS 2026Mitigating Overgeneralization in RND via Spectral Target Design
  19. NeurIPS 2026Neural-Corrected Operator Learning for Homogenization and Inverse Design
  20. NeurIPS 2026On the Meta-Design of Allocation Problems
  21. NeurIPS 2026PCBInnoBench: Benchmarking LLM Agents on Real-World PCB Design
  22. NeurIPS 2026Principled Design of Diffusion-based Optimizers for Inverse Problems
  23. NeurIPS 2026Refactoring Code Through Library Design
  24. NeurIPS 2026Regret Minimization in Single-Dimensional Contract-Design with Binary Actions
  25. NeurIPS 2026Robust-by-Design Distributional Learning from Contaminated Samples
  26. NeurIPS 2026Sample Size Design for Bounds on Discrete Probabilities of Causation
  27. NeurIPS 2026Scattered by Design: Why Per-Output Pruning Resists Structured Compression
  28. NeurIPS 2026Selectivity and Shape in the Design of Forward-Forward Goodness Functions
  29. NeurIPS 2026SimpleEvol: Efficient Intelligence Conversion via Less Human Prior in Automated Heuristic Design
  30. NeurIPS 2026The Alternation Depth Principle for Neural Operator Design
  31. NeurIPS 2026The Design Space of Tri-Modal Masked Diffusion Models
  32. NeurIPS 2026VEHBench: A Stage-Local Diagnostic Benchmark for LLM-Assisted Vibration Energy Harvester Design
  33. NeurIPS 2026When Does Knowing the State Help? Diagnosing Process vs. Outcome Reward Design
  34. NeurIPS 2026μLM: Rethinking Sub-100M Language Models through Memory-First Design
  35. NeurIPS 2025A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing
  36. NeurIPS 2025Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
  37. NeurIPS 2025Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
  38. NeurIPS 2025Convergent Functions, Divergent Forms
  39. NeurIPS 2025Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL
  40. NeurIPS 2025Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
  41. NeurIPS 2025Efficient Bayesian Experiment Design with Equivariant Networks
  42. NeurIPS 2025Exploring the Design Space of Diffusion Bridge Models
  43. NeurIPS 2025Geometric Algebra-Enhanced Bayesian Flow Network for RNA Inverse Design
  44. NeurIPS 2025Hadamax Encoding: Elevating Performance in Model-Free Atari
  45. NeurIPS 2025Mechanism Design via the Interim Relaxation
  46. NeurIPS 2025MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction
  47. NeurIPS 2025Online Experimental Design With Estimation-Regret Trade-off Under Network Interference
  48. NeurIPS 2025Procurement Auctions with Predictions: Improved Frugality for Facility Location
  49. NeurIPS 2025Protein Design with Dynamic Protein Vocabulary
  50. NeurIPS 2025RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查芯片设计 ML在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "chip-design-ml"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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