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

948 papers, page 16 of 19

751. ICML 2024The Fundamental Limits of Least-Privilege Learning
752. ICML 2024The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning
753. ICML 2024Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability
754. ICML 2024Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration
755. ICML 2024Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
756. ICML 2024tinyBenchmarks: evaluating LLMs with fewer examples
757. ICML 2024Total Variation Distance Meets Probabilistic Inference
758. ICML 2024Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention
759. ICML 2024Towards Compositionality in Concept Learning
760. ICML 2024Towards Efficient Training and Evaluation of Robust Models against $l_0$ Bounded Adversarial Perturbations
761. ICML 2024Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
762. ICML 2024Towards Modular LLMs by Building and Reusing a Library of LoRAs
763. ICML 2024Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error
764. ICML 2024Towards Scalable and Versatile Weight Space Learning
765. ICML 2024Trained Random Forests Completely Reveal your Dataset
766. ICML 2024Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
767. ICML 2024Transitional Uncertainty with Layered Intermediate Predictions
768. ICML 2024Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning
769. ICML 2024Trustless Audits without Revealing Data or Models
770. ICML 2024Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
771. ICML 2024Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias
772. ICML 2024ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
773. ICML 2024Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
774. ICML 2024Unveiling Privacy, Memorization, and Input Curvature Links
775. ICML 2024VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception
776. ICML 2024Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer
777. ICML 2024Weighted distance nearest neighbor condensing
778. ICML 2024What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
779. ICML 2024What is Dataset Distillation Learning?
780. ICML 2024What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
781. ICML 2024When and How Does In-Distribution Label Help Out-of-Distribution Detection?
782. ICML 2024Winner-takes-all learners are geometry-aware conditional density estimators
783. ICML 2023A Flexible Diffusion Model
784. ICML 2023A Generalization of ViT/MLP-Mixer to Graphs
785. ICML 2023A New PHO-rmula for Improved Performance of Semi-Structured Networks
786. ICML 2023A Picture of the Space of Typical Learnable Tasks
787. ICML 2023A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
788. ICML 2023A Study on Transformer Configuration and Training Objective
789. ICML 2023Achieving Linear Speedup in Non-IID Federated Bilevel Learning
790. ICML 2023Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm
791. ICML 2023An Effective Meaningful Way to Evaluate Survival Models
792. ICML 2023Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation
793. ICML 2023Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation
794. ICML 2023Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
795. ICML 2023Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?
796. ICML 2023Atari-5: Distilling the Arcade Learning Environment down to Five Games
797. ICML 2023Automatic Data Augmentation via Invariance-Constrained Learning
798. ICML 2023Auxiliary Learning as an Asymmetric Bargaining Game
799. ICML 2023Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
800. ICML 2023Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies

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.