Datasets and Benchmarks papers, 2023–2026

Key findings

• Datasets and Benchmarks went from 937 papers in 2023 to 1,991 in 2026, roughly 2.1x in three years.
• NeurIPS publishes the most Datasets and Benchmarks work: 1,935 papers from 2023 to 2026, 33% of the four-venue total.
• The fastest-growing overlap is with AI Agents: papers tagged with both rose from 8 in 2023 to 194 in 2026.
• Among the 5 topics under Efficiency and Systems, it ranks #1 by 2026 paper count; the fastest grower in the group, Hardware-Aware ML, is up 4.4x versus 2.1x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Surrogate Perspective on Convergence of Fixed-Target DQN
• ICML 2026$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
• ICLR 2026**TandemFoilSet**: Datasets for Flow Field Prediction of Tandem-Airfoil Through the Reuse of Single Airfoils
• CVPR 20264DEquine Disentangling Motion and Appearance for 4D Equine Reconstruction from
• NeurIPS 2025A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
• ICML 2025Active Evaluation Acquisition for Efficient LLM Benchmarking
• ICLR 2025$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
• CVPR 20253D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
• NeurIPS 2024A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
• ICML 2024A connection between Tempering and Entropic Mirror Descent
• ICLR 2024A Benchmark Study on Calibration
• CVPR 2024Data Valuation and Detections in Federated Learning
• NeurIPS 2023$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
• ICML 2023A Picture of the Space of Typical Learnable Tasks
• ICLR 2023$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
• CVPR 2023A Bag-of-Prototypes Representation for Dataset-Level Applications
• NeurIPS 2026A Theoretical Bridge Between Long-Tailed Recognition and Continual Learning
• ICML 2026A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation
• ICLR 2026A Fictional Q&A Dataset for Studying Memorization and Knowledge Acquisition
• CVPR 2026Advancing Cancer Prognosis with Hierarchical Fusion of Genomic Proteomic and

All Datasets and Benchmarks papers

1,987 papers, page 35 of 40

1701. NeurIPS 2026Monroe: A Molecular Foundation Model for In-context Probabilistic Inference
1702. NeurIPS 2026MoSE3: Learning World-Space SE(3) at Every Pixel
1703. NeurIPS 2026MSAlign: Aligning Molecular and Mass Spectra Foundation Models for Metabolite Identification
1704. NeurIPS 2026MSConsensus: A Hundred-Million-Scale, Batch-Effect–Suppressed Dataset and Benchmark for Proteomics Machine Learning
1705. NeurIPS 2026Multi-site PPG: An In-the-Wild Physiological Dataset from Emerging Multi-Site Wearables
1706. NeurIPS 2026Multiclass Classification with Rare Useful Features: Fundamental Limits and the Optimality of Diversity Pursuit Higher Criticism
1707. NeurIPS 2026NanoFold: Designing Reproducible Protein Structure Benchmarks through Principled Sampling
1708. NeurIPS 2026Nautilus: From One Prompt to Plug-and-Play Robot Learning
1709. NeurIPS 2026Near-Optimal Stochastic Linear Bandits with Delay
1710. NeurIPS 2026NEST: Nascent Encoded Steganographic Thoughts
1711. NeurIPS 2026NestedVLA: Learning to Consolidate and Generate Skills for Vision-Language-Action Model
1712. NeurIPS 2026Neural Dual Bounds: Valid-by-Construction JGLP Warm-Starts for MAP and Constrained MAP
1713. NeurIPS 2026Neural Optimal Transport in Hilbert Spaces
1714. NeurIPS 2026New Coresets for Fair Clustering
1715. NeurIPS 2026NGDB-Zoo: Towards Efficient and Scalable Neural Graph Databases Training
1716. NeurIPS 2026NNCoxKL: Risk-Set Distillation from Probability-Free Prognostic Teachers for Deep Cox Models
1717. NeurIPS 2026nnTrace: Detecting and Localizing Silent Bugs in Distributed Training
1718. NeurIPS 2026Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning
1719. NeurIPS 2026Non-Linear Pricing Restores Tractability for a Data Seller
1720. NeurIPS 2026Norm Anchors Make Model Edits Last
1721. NeurIPS 2026nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving
1722. NeurIPS 2026Object Detection Benchmarks are Incomplete: The Role of Label Errors and Annotation Uncertainty
1723. NeurIPS 2026OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queries
1724. NeurIPS 2026ODDR: One-Step Deshadow Diffusion via Reward Guidance
1725. NeurIPS 2026OfficeInstruct: A Dataset for Tool-Augmented Office Agents on Long-Trajectory Generative Tasks
1726. NeurIPS 2026Offline Preference-Based Trajectory Evaluation
1727. NeurIPS 2026Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark
1728. NeurIPS 2026OmniTraffic: A Controllable Generation Pipeline and Benchmark for Spatio-Temporal Traffic Reasoning
1729. NeurIPS 2026On Differential Private $\ell_1$, $\ell_2$ and $\ell_p^p$ Distance Queries
1730. NeurIPS 2026On Nash Equilibria in Participatory Budgeting with Donations and Beyond
1731. NeurIPS 2026On the Construction and Implications of Low-Loss Valleys in LoRA-based Bayesian Inference
1732. NeurIPS 2026On the Convergence of Multicalibration Gradient Boosting
1733. NeurIPS 2026On the Existence of Uniformly Optimal Policies in MDPs under Epistemic Uncertainty
1734. NeurIPS 2026On the Geometry and Latent-Space Composition of Hypernetwork-Generated LoRAs
1735. NeurIPS 2026One Temperature to Rule Them All?
1736. NeurIPS 2026Online Maximization of Non-Decomposable Test and Population Utilities
1737. NeurIPS 2026OpenSanctions Pairs: A Large-Scale Dataset for Pairwise Entity Matching
1738. NeurIPS 2026OpenView: Empowering MLLMs with Out-of-view VQA
1739. NeurIPS 2026OpenVTON-Bench: A Large-Scale High-Resolution Benchmark for Controllable Virtual Try-On Evaluation
1740. NeurIPS 2026OpenWhistle: A Large-Scale Longitudinal Dataset and Benchmark of Bottlenose Dolphin Vocalizations
1741. NeurIPS 2026Optimal In-context Adaptivity and Distributional Robustness of Transformers
1742. NeurIPS 2026Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing
1743. NeurIPS 2026Optimal Transport Reweighting for Robust Learning under Spurious Correlations and Label Noise
1744. NeurIPS 2026OverLay++: Dense-Overlap Layout-to-Image Generation Dataset
1745. NeurIPS 2026Panoptic Saliency Ranking
1746. NeurIPS 2026PanoWorld: Towards Spatial Supersensing in 360◦ Panorama World
1747. NeurIPS 2026PaperLens: How Predictable Is Paper Acceptance?
1748. NeurIPS 2026Participatory ML for Social Harm Should be Constructed, Validated and Reasoned Through First-Person Accounts
1749. NeurIPS 2026PatchBench: Measuring Collateral Damage in Activation Patching
1750. NeurIPS 2026Patching Up Circuit Learning on Images

FAQ

How many Datasets and Benchmarks papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

5,856 in total: 937 in 2023, 1,346 in 2024, 1,582 in 2025, 1,991 in 2026.

How many Datasets and Benchmarks papers are at NeurIPS 2026?

NeurIPS 2026 has 623 Datasets and Benchmarks papers, versus 637 the year before.

How many Datasets and Benchmarks papers are at ICLR 2026?

ICLR 2026 has 635 Datasets and Benchmarks papers, versus 419 the year before.

How many Datasets and Benchmarks papers are at ICML 2026?

ICML 2026 has 275 Datasets and Benchmarks papers, versus 189 the year before.

How many Datasets and Benchmarks papers are at CVPR 2026?

CVPR 2026 has 458 Datasets and Benchmarks papers, versus 337 the year before.

Which conference publishes the most Datasets and Benchmarks papers?

NeurIPS, with 1,935 papers from 2023 to 2026.