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 15 of 19

701. ICML 2024Position: The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
702. ICML 2024Position: Topological Deep Learning is the New Frontier for Relational Learning
703. ICML 2024Position: TrustLLM: Trustworthiness in Large Language Models
704. ICML 2024Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks
705. ICML 2024Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent
706. ICML 2024Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation
707. ICML 2024Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
708. ICML 2024Prodigy: An Expeditiously Adaptive Parameter-Free Learner
709. ICML 2024Provable Contrastive Continual Learning
710. ICML 2024Provably Scalable Black-Box Variational Inference with Structured Variational Families
711. ICML 2024PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency
712. ICML 2024Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent
713. ICML 2024QuIP$\#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
714. ICML 2024ReconBoost: Boosting Can Achieve Modality Reconcilement
715. ICML 2024Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
716. ICML 2024Regularized Q-learning through Robust Averaging
717. ICML 2024Residual Quantization with Implicit Neural Codebooks
718. ICML 2024Rethinking Decision Transformer via Hierarchical Reinforcement Learning
719. ICML 2024Rethinking Generative Large Language Model Evaluation for Semantic Comprehension
720. ICML 2024Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
721. ICML 2024Rethinking the Flat Minima Searching in Federated Learning
722. ICML 2024Rich-Observation Reinforcement Learning with Continuous Latent Dynamics
723. ICML 2024RLVF: Learning from Verbal Feedback without Overgeneralization
724. ICML 2024Robust Learning-Augmented Dictionaries
725. ICML 2024Robust Universal Adversarial Perturbations
726. ICML 2024Rolling Diffusion Models
727. ICML 2024Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks
728. ICML 2024S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
729. ICML 2024Saliency strikes back: How filtering out high frequencies improves white-box explanations
730. ICML 2024SAPG: Split and Aggregate Policy Gradients
731. ICML 2024Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
732. ICML 2024Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation
733. ICML 2024Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup
734. ICML 2024SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching
735. ICML 2024SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
736. ICML 2024SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic
737. ICML 2024Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network
738. ICML 2024Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
739. ICML 2024Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
740. ICML 2024SMaRt: Improving GANs with Score Matching Regularity
741. ICML 2024Soft Prompt Recovers Compressed LLMs, Transferably
742. ICML 2024Sparse and Structured Hopfield Networks
743. ICML 2024Sparsest Models Elude Pruning: An Exposé of Pruning’s Current Capabilities
744. ICML 2024Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
745. ICML 2024Statistical Inference Under Constrained Selection Bias
746. ICML 2024StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
747. ICML 2024Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
748. ICML 2024Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
749. ICML 2024Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos
750. ICML 2024The Entropy Enigma: Success and Failure of Entropy Minimization

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.