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 53 篇,第 1 / 2 页

  1. CVPR 2025Adaptive Part Learning for Fine-Grained Generalized Category Discovery: A Plug-and-Play Enhancement
  2. CVPR 2025AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
  3. CVPR 2025DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery
  4. CVPR 2025Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects
  5. CVPR 2025Hyperbolic Category Discovery
  6. CVPR 2025Joint Out-of-Distribution Filtering and Data Discovery Active Learning
  7. CVPR 2025Less Attention is More: Prompt Transformer for Generalized Category Discovery
  8. CVPR 2025LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields
  9. CVPR 2025Material Anything: Generating Materials for Any 3D Object via Diffusion
  10. CVPR 2025Multi-modal Contrastive Learning with Negative Sampling Calibration for Phenotypic Drug Discovery
  11. CVPR 2025Towards Human-Understandable Multi-Dimensional Concept Discovery
  12. CVPR 2025UNICL-SAM: Uncertainty-Driven In-Context Segmentation with Part Prototype Discovery
  13. CVPR 2025Unsupervised Discovery of Facial Landmarks and Head Pose
  14. ICLR 2025A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
  15. ICLR 2025Conditional Testing based on Localized Conformal $p$-values
  16. ICLR 2025DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery
  17. ICLR 2025Designing Mechanical Meta-Materials by Learning Equivariant Flows
  18. ICLR 2025ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials
  19. ICLR 2025Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
  20. ICLR 2025HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
  21. ICLR 2025MatExpert: Decomposing Materials Discovery By Mimicking Human Experts
  22. ICLR 2025SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark
  23. ICLR 2025SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
  24. ICLR 2025The Ramanujan Library - Automated Discovery on the Hypergraph of Integer Relations
  25. ICLR 2025When Selection Meets Intervention: Additional Complexities in Causal Discovery
  26. ICML 2025Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations
  27. ICML 2025AlphaQCM: Alpha Discovery in Finance with Distributional Reinforcement Learning
  28. ICML 2025AtlasD: Automatic Local Symmetry Discovery
  29. ICML 2025Bayesian Active Learning for Bivariate Causal Discovery
  30. ICML 2025Continuous Bayesian Model Selection for Multivariate Causal Discovery
  31. ICML 2025Explicit Discovery of Nonlinear Symmetries from Dynamic Data
  32. ICML 2025Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization
  33. ICML 2025Kinetic Langevin Diffusion for Crystalline Materials Generation
  34. ICML 2025Latent Variable Causal Discovery under Selection Bias
  35. ICML 2025Learning the Electronic Hamiltonian of Large Atomic Structures
  36. ICML 2025Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?
  37. ICML 2025Open Materials Generation with Stochastic Interpolants
  38. ICML 2025Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery
  39. NeurIPS 2025All that structure matches does not glitter
  40. NeurIPS 2025An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks
  41. NeurIPS 2025AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
  42. NeurIPS 2025CausalDynamics: A large‐scale benchmark for structural discovery of dynamical causal models
  43. NeurIPS 2025Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery
  44. NeurIPS 2025FedLPA: Local Prior Alignment for Heterogeneous Federated Generalized Category Discovery
  45. NeurIPS 2025Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
  46. NeurIPS 2025Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective
  47. NeurIPS 2025GLNCD: Graph-Level Novel Category Discovery
  48. NeurIPS 2025Latent Principle Discovery for Language Model Self-Improvement
  49. NeurIPS 2025MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
  50. NeurIPS 2025Partition to Evolve: Niching-enhanced Evolution with LLMs for Automated Algorithm Discovery

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。

「气候与物理科学」下的其他主题