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
- 药物发现论文从 2023 年的 79 篇增长到 2026 年的 211 篇,三年间扩大到约 2.7 倍。
- NeurIPS 是发药物发现论文最多的会议,2023–2026 年共 234 篇,占四个会议总量的 40%。
- 交叉方向里涨得最快的是应用 · chemistry physics and earth sciences:同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 42 篇。
- 在「健康与生命科学」的 5 个主题里,它的 2026 年论文数排第 2;同组增长最快的临床 NLP是 3.2 倍,药物发现是 2.7 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 21 | 22 | 20 | 16 | 79 |
| 2024 | 49 | 23 | 42 | 11 | 125 |
| 2025 | 64 | 48 | 39 | 12 | 163 |
| 2026 | 100 | 37 | 63 | 11 | 211 |
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
- NeurIPS 2026ACER: Towards Generalizable Protein-ligand Co-folding
- ICML 2026Adaptive Symmetry Discovery for Dynamical System Identification
- ICLR 2026Bures Generalized Category Discovery
- CVPR 2026Learning Like Humans Analogical Concept Learning for Generalized Category Discovery
- NeurIPS 2025AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation
- ICML 2025Explicit Discovery of Nonlinear Symmetries from Dynamic Data
- ICLR 2025CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
- CVPR 2025Adaptive Part Learning for Fine-Grained Generalized Category Discovery: A Plug-and-Play Enhancement
- NeurIPS 2024A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models
- ICML 2024Amortized Equation Discovery in Hybrid Dynamical Systems
- ICLR 2024Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
- CVPR 2024Federated Generalized Category Discovery
- NeurIPS 2023An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions
- ICML 2023A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
- ICLR 2023Context-enriched molecule representations improve few-shot drug discovery
- CVPR 2023Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery
- NeurIPS 2026Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules
- ICML 2026CURE: Consistency-under-Unified Semantic Regularization for Generalized Category Discovery
- ICLR 2026Exploring Synthesizable Chemical Space with Iterative Pathway Refinements
- CVPR 2026TAR Token-Aware Refinement for Fine-grained Generalized Category Discovery
全部药物发现论文
共 79 篇,第 1 / 2 页
- CVPR 2023AutoRecon: Automated 3D Object Discovery and Reconstruction
- CVPR 2023BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos
- CVPR 2023Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery
- CVPR 2023Dynamic Conceptional Contrastive Learning for Generalized Category Discovery
- CVPR 2023GlassesGAN: Eyewear Personalization Using Synthetic Appearance Discovery and Targeted Subspace Modeling
- CVPR 2023Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery From Sparse Image Ensemble
- CVPR 2023Intrinsic Physical Concepts Discovery With Object-Centric Predictive Models
- CVPR 2023Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery
- CVPR 2023Novel Class Discovery for 3D Point Cloud Semantic Segmentation
- CVPR 2023Object Discovery From Motion-Guided Tokens
- CVPR 2023On-the-Fly Category Discovery
- CVPR 2023PartMix: Regularization Strategy To Learn Part Discovery for Visible-Infrared Person Re-Identification
- CVPR 2023PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery
- CVPR 2023StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos
- CVPR 2023SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
- CVPR 2023Universal Instance Perception As Object Discovery and Retrieval
- ICLR 2023AGRO: Adversarial discovery of error-prone Groups for Robust Optimization
- ICLR 2023Boosting Causal Discovery via Adaptive Sample Reweighting
- ICLR 2023Context-enriched molecule representations improve few-shot drug discovery
- ICLR 2023CUTS: Neural Causal Discovery from Irregular Time-Series Data
- ICLR 2023DAG Learning on the Permutahedron
- ICLR 2023DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
- ICLR 2023Diffusion Models for Causal Discovery via Topological Ordering
- ICLR 2023E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
- ICLR 2023Equivariant Energy-Guided SDE for Inverse Molecular Design
- ICLR 2023Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design
- ICLR 2023HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
- ICLR 2023How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules
- ICLR 2023Improving the imputation of missing data with Markov Blanket discovery
- ICLR 2023Learning Harmonic Molecular Representations on Riemannian Manifold
- ICLR 2023Matching receptor to odorant with protein language and graph neural networks
- ICLR 2023Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching
- ICLR 2023Molecule Generation For Target Protein Binding with Structural Motifs
- ICLR 2023Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
- ICLR 2023On Pre-training Language Model for Antibody
- ICLR 2023PiFold: Toward effective and efficient protein inverse folding
- ICLR 2023Retrieval-based Controllable Molecule Generation
- ICLR 2023Uni-Mol: A Universal 3D Molecular Representation Learning Framework
- ICML 2023A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
- ICML 2023AbODE: Ab initio antibody design using conjoined ODEs
- ICML 2023Causal Discovery with Latent Confounders Based on Higher-Order Cumulants
- ICML 2023Controllability-Aware Unsupervised Skill Discovery
- ICML 2023DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
- ICML 2023Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery
- ICML 2023Demystifying Disagreement-on-the-Line in High Dimensions
- ICML 2023DiscoBAX - Discovery of optimal intervention sets in genomic experiment design
- ICML 2023Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
- ICML 2023Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
- ICML 2023Exploring Model Dynamics for Accumulative Poisoning Discovery
- 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"}
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。