材料发现论文趋势 2023–2026

晶体与材料

统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 208 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

材料发现论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
202364101030
2024107201148
20251512131353
2026331127677

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

全部材料发现论文

共 48 篇,第 1 / 1 页

  1. CVPR 2024Active Generalized Category Discovery
  2. CVPR 2024Contrastive Mean-Shift Learning for Generalized Category Discovery
  3. CVPR 2024Eclipse: Disambiguating Illumination and Materials using Unintended Shadows
  4. CVPR 2024Federated Generalized Category Discovery
  5. CVPR 2024MatSynth: A Modern PBR Materials Dataset
  6. CVPR 2024Novel Class Discovery for Ultra-Fine-Grained Visual Categorization
  7. CVPR 2024Practical Measurements of Translucent Materials with Inter-Pixel Translucency Prior
  8. CVPR 2024QUADify: Extracting Meshes with Pixel-level Details and Materials from Images
  9. CVPR 2024Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
  10. CVPR 2024Understanding Video Transformers via Universal Concept Discovery
  11. CVPR 2024Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models
  12. ICLR 2024A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
  13. ICLR 2024CoLiDE: Concomitant Linear DAG Estimation
  14. ICLR 2024Federated Causal Discovery from Heterogeneous Data
  15. ICLR 2024ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
  16. ICLR 2024One-hot Generalized Linear Model for Switching Brain State Discovery
  17. ICLR 2024Scalable Diffusion for Materials Generation
  18. ICLR 2024Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
  19. ICML 2024A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
  20. ICML 2024Amortized Equation Discovery in Hybrid Dynamical Systems
  21. ICML 2024Automated Statistical Model Discovery with Language Models
  22. ICML 2024Bivariate Causal Discovery using Bayesian Model Selection
  23. ICML 2024ByMI: Byzantine Machine Identification with False Discovery Rate Control
  24. ICML 2024Causal Discovery via Conditional Independence Testing with Proxy Variables
  25. ICML 2024Causal Discovery with Fewer Conditional Independence Tests
  26. ICML 2024Drug Discovery with Dynamic Goal-aware Fragments
  27. ICML 2024Entropy-Reinforced Planning with Large Language Models for Drug Discovery
  28. ICML 2024Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics
  29. ICML 2024FlowMM: Generating Materials with Riemannian Flow Matching
  30. ICML 2024Foundations of Testing for Finite-Sample Causal Discovery
  31. ICML 2024Intersectional Unfairness Discovery
  32. ICML 2024Latent Space Symmetry Discovery
  33. ICML 2024On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery
  34. ICML 2024Optimal Kernel Choice for Score Function-based Causal Discovery
  35. ICML 2024Position: Data-driven Discovery with Large Generative Models
  36. ICML 2024Score-Based Causal Discovery of Latent Variable Causal Models
  37. ICML 2024Stable Differentiable Causal Discovery
  38. ICML 2024Unsupervised Concept Discovery Mitigates Spurious Correlations
  39. NeurIPS 2024Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
  40. NeurIPS 2024Generative Hierarchical Materials Search
  41. NeurIPS 2024Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
  42. NeurIPS 2024Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation
  43. NeurIPS 2024Learning Infinitesimal Generators of Continuous Symmetries from Data
  44. NeurIPS 2024Learning symmetries via weight-sharing with doubly stochastic tensors
  45. NeurIPS 2024No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery
  46. NeurIPS 2024Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery
  47. NeurIPS 2024Symmetry Discovery Beyond Affine Transformations
  48. NeurIPS 2024WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking

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 查材料发现在 ICML 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": "materials-discovery"}

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材料发现论文?
共 208 篇,按年份分别是 2023 年 30 篇、2024 年 48 篇、2025 年 53 篇、2026 年 77 篇。
NeurIPS 2026 有多少篇材料发现论文?
NeurIPS 2026 有 33 篇材料发现论文,上一届是 15 篇。
ICLR 2026 有多少篇材料发现论文?
ICLR 2026 有 11 篇材料发现论文,上一届是 12 篇。
ICML 2026 有多少篇材料发现论文?
ICML 2026 有 27 篇材料发现论文,上一届是 13 篇。
CVPR 2026 有多少篇材料发现论文?
CVPR 2026 有 6 篇材料发现论文,上一届是 13 篇。
哪个会议的材料发现论文最多?
ICML,2023–2026 年共 70 篇。

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