药物发现论文趋势 2023–2026

分子与蛋白设计

统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 578 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

药物发现论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
20232122201679
202449234211125
202564483912163
2026100376311211

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

全部药物发现论文

共 79 篇,第 1 / 2 页

  1. CVPR 2023AutoRecon: Automated 3D Object Discovery and Reconstruction
  2. CVPR 2023BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos
  3. CVPR 2023Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery
  4. CVPR 2023Dynamic Conceptional Contrastive Learning for Generalized Category Discovery
  5. CVPR 2023GlassesGAN: Eyewear Personalization Using Synthetic Appearance Discovery and Targeted Subspace Modeling
  6. CVPR 2023Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery From Sparse Image Ensemble
  7. CVPR 2023Intrinsic Physical Concepts Discovery With Object-Centric Predictive Models
  8. CVPR 2023Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery
  9. CVPR 2023Novel Class Discovery for 3D Point Cloud Semantic Segmentation
  10. CVPR 2023Object Discovery From Motion-Guided Tokens
  11. CVPR 2023On-the-Fly Category Discovery
  12. CVPR 2023PartMix: Regularization Strategy To Learn Part Discovery for Visible-Infrared Person Re-Identification
  13. CVPR 2023PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery
  14. CVPR 2023StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos
  15. CVPR 2023SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
  16. CVPR 2023Universal Instance Perception As Object Discovery and Retrieval
  17. ICLR 2023AGRO: Adversarial discovery of error-prone Groups for Robust Optimization
  18. ICLR 2023Boosting Causal Discovery via Adaptive Sample Reweighting
  19. ICLR 2023Context-enriched molecule representations improve few-shot drug discovery
  20. ICLR 2023CUTS: Neural Causal Discovery from Irregular Time-Series Data
  21. ICLR 2023DAG Learning on the Permutahedron
  22. ICLR 2023DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
  23. ICLR 2023Diffusion Models for Causal Discovery via Topological Ordering
  24. ICLR 2023E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
  25. ICLR 2023Equivariant Energy-Guided SDE for Inverse Molecular Design
  26. ICLR 2023Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design
  27. ICLR 2023HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
  28. ICLR 2023How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules
  29. ICLR 2023Improving the imputation of missing data with Markov Blanket discovery
  30. ICLR 2023Learning Harmonic Molecular Representations on Riemannian Manifold
  31. ICLR 2023Matching receptor to odorant with protein language and graph neural networks
  32. ICLR 2023Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching
  33. ICLR 2023Molecule Generation For Target Protein Binding with Structural Motifs
  34. ICLR 2023Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
  35. ICLR 2023On Pre-training Language Model for Antibody
  36. ICLR 2023PiFold: Toward effective and efficient protein inverse folding
  37. ICLR 2023Retrieval-based Controllable Molecule Generation
  38. ICLR 2023Uni-Mol: A Universal 3D Molecular Representation Learning Framework
  39. ICML 2023A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
  40. ICML 2023AbODE: Ab initio antibody design using conjoined ODEs
  41. ICML 2023Causal Discovery with Latent Confounders Based on Higher-Order Cumulants
  42. ICML 2023Controllability-Aware Unsupervised Skill Discovery
  43. ICML 2023DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
  44. ICML 2023Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery
  45. ICML 2023Demystifying Disagreement-on-the-Line in High Dimensions
  46. ICML 2023DiscoBAX - Discovery of optimal intervention sets in genomic experiment design
  47. ICML 2023Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
  48. ICML 2023Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
  49. ICML 2023Exploring Model Dynamics for Accumulative Poisoning Discovery
  50. ICML 2023Fractional Denoising for 3D Molecular Pre-training

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 查药物发现在 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": "drug-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药物发现论文?
共 578 篇,按年份分别是 2023 年 79 篇、2024 年 125 篇、2025 年 163 篇、2026 年 211 篇。
NeurIPS 2026 有多少篇药物发现论文?
NeurIPS 2026 有 100 篇药物发现论文,上一届是 64 篇。
ICLR 2026 有多少篇药物发现论文?
ICLR 2026 有 37 篇药物发现论文,上一届是 48 篇。
ICML 2026 有多少篇药物发现论文?
ICML 2026 有 63 篇药物发现论文,上一届是 39 篇。
CVPR 2026 有多少篇药物发现论文?
CVPR 2026 有 11 篇药物发现论文,上一届是 12 篇。
哪个会议的药物发现论文最多?
NeurIPS,2023–2026 年共 234 篇。

「健康与生命科学」下的其他主题