Drug Discovery papers, 2023–2026
Molecule and protein design
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 578 papers are tagged with this topic.
Key findings
- Drug Discovery went from 79 papers in 2023 to 211 in 2026, roughly 2.7x in three years.
- NeurIPS publishes the most Drug Discovery work: 234 papers from 2023 to 2026, 40% of the four-venue total.
- The fastest-growing overlap is with Applications · chemistry physics and earth sciences: papers tagged with both rose from 1 in 2023 to 42 in 2026.
- Among the 5 topics under Health and Life Sciences, it ranks #2 by 2026 paper count; the fastest grower in the group, Clinical NLP, is up 3.2x versus 2.7x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 21 | 22 | 20 | 16 | 79 |
| 2024 | 49 | 23 | 42 | 11 | 125 |
| 2025 | 64 | 48 | 39 | 12 | 163 |
| 2026 | 100 | 37 | 63 | 11 | 211 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Drug Discovery papers
39 papers, page 1 of 1
- ICML 2025Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations
- ICML 2025AlphaQCM: Alpha Discovery in Finance with Distributional Reinforcement Learning
- ICML 2025Arrow: Accelerator for Time Series Causal Discovery with Time Weaving
- ICML 2025AtlasD: Automatic Local Symmetry Discovery
- ICML 2025Automated Hypothesis Validation with Agentic Sequential Falsifications
- ICML 2025Bayesian Active Learning for Bivariate Causal Discovery
- ICML 2025Bivariate Causal Discovery with Proxy Variables: Integral Solving and Beyond
- ICML 2025BounDr.E: Predicting Drug-likeness via Biomedical Knowledge Alignment and EM-like One-Class Boundary Optimization
- ICML 2025Causal Discovery from Conditionally Stationary Time Series
- ICML 2025CellFlux: Simulating Cellular Morphology Changes via Flow Matching
- ICML 2025CombiMOTS: Combinatorial Multi-Objective Tree Search for Dual-Target Molecule Generation
- ICML 2025Compositional Flows for 3D Molecule and Synthesis Pathway Co-design
- ICML 2025Continuous Bayesian Model Selection for Multivariate Causal Discovery
- ICML 2025e-GAI: e-value-based Generalized $\alpha$-Investing for Online False Discovery Rate Control
- ICML 2025Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks
- ICML 2025Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization
- ICML 2025Explicit Discovery of Nonlinear Symmetries from Dynamic Data
- ICML 2025Extracting Rare Dependence Patterns via Adaptive Sample Reweighting
- ICML 2025Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization
- ICML 2025GenMol: A Drug Discovery Generalist with Discrete Diffusion
- ICML 2025Geometric Representation Condition Improves Equivariant Molecule Generation
- ICML 2025IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck
- ICML 2025Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations
- ICML 2025KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors
- ICML 2025Latent Variable Causal Discovery under Selection Bias
- ICML 2025LLM-Augmented Chemical Synthesis and Design Decision Programs
- ICML 2025Mechanistic PDE Networks for Discovery of Governing Equations
- ICML 2025MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
- ICML 2025MITIGATING OVER-EXPLORATION IN LATENT SPACE OPTIMIZATION USING LES
- ICML 2025Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?
- ICML 2025P(all-atom) Is Unlocking New Path For Protein Design
- ICML 2025Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule
- ICML 2025Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
- ICML 2025Relational Invariant Learning for Robust Solvation Free Energy Prediction
- ICML 2025Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNN
- ICML 2025Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery
- ICML 2025Symmetry-Driven Discovery of Dynamical Variables in Molecular Simulations
- ICML 2025UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design
- ICML 2025ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy
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FAQ
- How many Drug Discovery papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 578 in total: 79 in 2023, 125 in 2024, 163 in 2025, 211 in 2026.
- How many Drug Discovery papers are at NeurIPS 2026?
- NeurIPS 2026 has 100 Drug Discovery papers, versus 64 the year before.
- How many Drug Discovery papers are at ICLR 2026?
- ICLR 2026 has 37 Drug Discovery papers, versus 48 the year before.
- How many Drug Discovery papers are at ICML 2026?
- ICML 2026 has 63 Drug Discovery papers, versus 39 the year before.
- How many Drug Discovery papers are at CVPR 2026?
- CVPR 2026 has 11 Drug Discovery papers, versus 12 the year before.
- Which conference publishes the most Drug Discovery papers?
- NeurIPS, with 234 papers from 2023 to 2026.