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

937 papers, page 13 of 19

601. ICML 2023GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
602. ICML 2023Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement
603. ICML 2023Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs
604. ICML 2023High Probability Convergence of Stochastic Gradient Methods
605. ICML 2023High-dimensional Clustering onto Hamiltonian Cycle
606. ICML 2023Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds
607. ICML 2023How Does Information Bottleneck Help Deep Learning?
608. ICML 2023Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
609. ICML 2023Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
610. ICML 2023Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
611. ICML 2023Improving Fair Training under Correlation Shifts
612. ICML 2023In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
613. ICML 2023InfoOT: Information Maximizing Optimal Transport
614. ICML 2023Input uncertainty propagation through trained neural networks
615. ICML 2023Investigating the Role of Model-Based Learning in Exploration and Transfer
616. ICML 2023Iterative Approximate Cross-Validation
617. ICML 2023JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift
618. ICML 2023Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
619. ICML 2023Learnability and Algorithm for Continual Learning
620. ICML 2023Learning Dense Correspondences between Photos and Sketches
621. ICML 2023Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation
622. ICML 2023Learning GFlowNets From Partial Episodes For Improved Convergence And Stability
623. ICML 2023Learning Mixtures of Markov Chains and MDPs
624. ICML 2023Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation
625. ICML 2023Learning Prescriptive ReLU Networks
626. ICML 2023Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning
627. ICML 2023Learning to Boost Training by Periodic Nowcasting Near Future Weights
628. ICML 2023LegendreTron: Uprising Proper Multiclass Loss Learning
629. ICML 2023Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies
630. ICML 2023Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels
631. ICML 2023MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
632. ICML 2023Margin-based Neural Network Watermarking
633. ICML 2023Measuring the Impact of Programming Language Distribution
634. ICML 2023Mechanistic Mode Connectivity
635. ICML 2023Mu$^2$SLAM: Multitask, Multilingual Speech and Language Models
636. ICML 2023Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
637. ICML 2023Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
638. ICML 2023Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data
639. ICML 2023New metrics and search algorithms for weighted causal DAGs
640. ICML 2023On the Connection Between MPNN and Graph Transformer
641. ICML 2023On the Convergence of SARSA with Linear Function Approximation
642. ICML 2023On the Forward Invariance of Neural ODEs
643. ICML 2023On the Identifiability and Estimation of Causal Location-Scale Noise Models
644. ICML 2023On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits
645. ICML 2023On the Statistical Benefits of Temporal Difference Learning
646. ICML 2023One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
647. ICML 2023Optimal Arms Identification with Knapsacks
648. ICML 2023Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
649. ICML 2023PAC-Bayesian Offline Contextual Bandits With Guarantees
650. ICML 2023Predicting Ordinary Differential Equations with Transformers

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.