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 125 篇,第 1 / 3 页
- CVPR 2024Active Generalized Category Discovery
- CVPR 2024Adaptive Slot Attention: Object Discovery with Dynamic Slot Number
- CVPR 2024Contrastive Mean-Shift Learning for Generalized Category Discovery
- CVPR 2024DIOD: Self-Distillation Meets Object Discovery
- CVPR 2024Federated Generalized Category Discovery
- CVPR 2024Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision
- CVPR 2024NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
- CVPR 2024Novel Class Discovery for Ultra-Fine-Grained Visual Categorization
- CVPR 2024Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
- CVPR 2024Understanding Video Transformers via Universal Concept Discovery
- CVPR 2024Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models
- ICLR 2024A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
- ICLR 2024Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design
- ICLR 2024BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
- ICLR 2024CoLiDE: Concomitant Linear DAG Estimation
- ICLR 2024Conversational Drug Editing Using Retrieval and Domain Feedback
- ICLR 2024Cycle Consistency Driven Object Discovery
- ICLR 2024DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization
- ICLR 2024Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms
- ICLR 2024Federated Causal Discovery from Heterogeneous Data
- ICLR 2024Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
- ICLR 2024Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation
- ICLR 2024ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
- ICLR 2024One-hot Generalized Linear Model for Switching Brain State Discovery
- ICLR 2024Protein Discovery with Discrete Walk-Jump Sampling
- ICLR 2024Protein-ligand binding representation learning from fine-grained interactions
- ICLR 2024Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
- ICLR 2024Removing Biases from Molecular Representations via Information Maximization
- ICLR 2024Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
- ICLR 2024RetroBridge: Modeling Retrosynthesis with Markov Bridges
- ICLR 2024Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
- ICLR 2024Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
- ICLR 2024Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
- ICLR 2024Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
- ICML 2024Adaptive Online Experimental Design for Causal Discovery
- ICML 2024AlphaFold Meets Flow Matching for Generating Protein Ensembles
- ICML 2024Amortized Equation Discovery in Hybrid Dynamical Systems
- ICML 2024Automated Statistical Model Discovery with Language Models
- ICML 2024Bivariate Causal Discovery using Bayesian Model Selection
- ICML 2024ByMI: Byzantine Machine Identification with False Discovery Rate Control
- ICML 2024CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
- ICML 2024Causal Discovery via Conditional Independence Testing with Proxy Variables
- ICML 2024Causal Discovery with Fewer Conditional Independence Tests
- ICML 2024Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
- ICML 2024Constrained Ensemble Exploration for Unsupervised Skill Discovery
- ICML 2024Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
- ICML 2024Diffusion Language Models Are Versatile Protein Learners
- ICML 2024Drug Discovery with Dynamic Goal-aware Fragments
- ICML 2024Entropy-Reinforced Planning with Large Language Models for Drug Discovery
- ICML 2024Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics
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。