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

5,852 papers, page 112 of 118

5551. ICML 2023Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
5552. ICML 2023Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
5553. ICML 2023Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data
5554. ICML 2023New metrics and search algorithms for weighted causal DAGs
5555. ICML 2023On the Connection Between MPNN and Graph Transformer
5556. ICML 2023On the Convergence of SARSA with Linear Function Approximation
5557. ICML 2023On the Forward Invariance of Neural ODEs
5558. ICML 2023On the Identifiability and Estimation of Causal Location-Scale Noise Models
5559. ICML 2023On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits
5560. ICML 2023On the Statistical Benefits of Temporal Difference Learning
5561. ICML 2023One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
5562. ICML 2023Optimal Arms Identification with Knapsacks
5563. ICML 2023Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
5564. ICML 2023PAC-Bayesian Offline Contextual Bandits With Guarantees
5565. ICML 2023Predicting Ordinary Differential Equations with Transformers
5566. ICML 2023Principled Offline RL in the Presence of Rich Exogenous Information
5567. ICML 2023Propensity Matters: Measuring and Enhancing Balancing for Recommendation
5568. ICML 2023ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
5569. ICML 2023Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
5570. ICML 2023Quantifying the Variability Collapse of Neural Networks
5571. ICML 2023Quantized Distributed Training of Large Models with Convergence Guarantees
5572. ICML 2023Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
5573. ICML 2023Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
5574. ICML 2023Reflected Diffusion Models
5575. ICML 2023Regularization-free Diffeomorphic Temporal Alignment Nets
5576. ICML 2023Regularizing Towards Soft Equivariance Under Mixed Symmetries
5577. ICML 2023Reprogramming Pretrained Language Models for Antibody Sequence Infilling
5578. ICML 2023Rethink DARTS Search Space and Renovate a New Benchmark
5579. ICML 2023Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?
5580. ICML 2023Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation
5581. ICML 2023Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
5582. ICML 2023Secure Federated Correlation Test and Entropy Estimation
5583. ICML 2023Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
5584. ICML 2023Sequential Kernelized Independence Testing
5585. ICML 2023Sequential Strategic Screening
5586. ICML 2023Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments
5587. ICML 2023Short-lived High-volume Bandits
5588. ICML 2023Simple and Fast Group Robustness by Automatic Feature Reweighting
5589. ICML 2023Simple Disentanglement of Style and Content in Visual Representations
5590. ICML 2023Simplex Random Features
5591. ICML 2023Speeding Up Bellman Ford via Minimum Violation Permutations
5592. ICML 2023Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
5593. ICML 2023Spurious Valleys and Clustering Behavior of Neural Networks
5594. ICML 2023Stable Estimation of Heterogeneous Treatment Effects
5595. ICML 2023State and parameter learning with PARIS particle Gibbs
5596. ICML 2023Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
5597. ICML 2023Streaming Active Learning with Deep Neural Networks
5598. ICML 2023Structured Cooperative Learning with Graphical Model Priors
5599. ICML 2023Submodular Order Functions and Assortment Optimization
5600. ICML 2023Subset-Based Instance Optimality in Private Estimation

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.