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

1,346 papers, page 17 of 27

801. ICML 2024Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
802. ICML 2024Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
803. ICML 2024PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
804. ICML 2024Perturb-and-Project: Differentially Private Similarities and Marginals
805. ICML 2024Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach
806. ICML 2024Plug-and-Play image restoration with Stochastic deNOising REgularization
807. ICML 2024PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels
808. ICML 2024Position: $C^*$-Algebraic Machine Learning $-$ Moving in a New Direction
809. ICML 2024Position: A Roadmap to Pluralistic Alignment
810. ICML 2024Position: A Safe Harbor for AI Evaluation and Red Teaming
811. ICML 2024Position: AI/ML Influencers Have a Place in the Academic Process
812. ICML 2024Position: Amazing Things Come From Having Many Good Models
813. ICML 2024Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
814. ICML 2024Position: Benchmarking is Limited in Reinforcement Learning Research
815. ICML 2024Position: Is machine learning good or bad for the natural sciences?
816. ICML 2024Position: Measure Dataset Diversity, Don't Just Claim It
817. ICML 2024Position: The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
818. ICML 2024Position: Topological Deep Learning is the New Frontier for Relational Learning
819. ICML 2024Position: TrustLLM: Trustworthiness in Large Language Models
820. ICML 2024Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks
821. ICML 2024Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent
822. ICML 2024Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation
823. ICML 2024Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
824. ICML 2024Prodigy: An Expeditiously Adaptive Parameter-Free Learner
825. ICML 2024Provable Contrastive Continual Learning
826. ICML 2024Provably Scalable Black-Box Variational Inference with Structured Variational Families
827. ICML 2024PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency
828. ICML 2024Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent
829. ICML 2024QuIP$\#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
830. ICML 2024ReconBoost: Boosting Can Achieve Modality Reconcilement
831. ICML 2024Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
832. ICML 2024Regularized Q-learning through Robust Averaging
833. ICML 2024Residual Quantization with Implicit Neural Codebooks
834. ICML 2024Rethinking Decision Transformer via Hierarchical Reinforcement Learning
835. ICML 2024Rethinking Generative Large Language Model Evaluation for Semantic Comprehension
836. ICML 2024Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
837. ICML 2024Rethinking the Flat Minima Searching in Federated Learning
838. ICML 2024Rich-Observation Reinforcement Learning with Continuous Latent Dynamics
839. ICML 2024RLVF: Learning from Verbal Feedback without Overgeneralization
840. ICML 2024Robust Learning-Augmented Dictionaries
841. ICML 2024Robust Universal Adversarial Perturbations
842. ICML 2024Rolling Diffusion Models
843. ICML 2024Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks
844. ICML 2024S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
845. ICML 2024Saliency strikes back: How filtering out high frequencies improves white-box explanations
846. ICML 2024SAPG: Split and Aggregate Policy Gradients
847. ICML 2024Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
848. ICML 2024Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation
849. ICML 2024Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup
850. ICML 2024SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching

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.