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 16 of 27

751. ICML 2024Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
752. ICML 2024Limited Preference Aided Imitation Learning from Imperfect Demonstrations
753. ICML 2024LLaGA: Large Language and Graph Assistant
754. ICML 2024LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
755. ICML 2024Localizing Task Information for Improved Model Merging and Compression
756. ICML 2024Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining
757. ICML 2024Low-Rank Similarity Mining for Multimodal Dataset Distillation
758. ICML 2024Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
759. ICML 2024MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
760. ICML 2024Making Old Things New: A Unified Algorithm for Differentially Private Clustering
761. ICML 2024Mapping the Multiverse of Latent Representations
762. ICML 2024Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games
763. ICML 2024MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
764. ICML 2024Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning
765. ICML 2024Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization
766. ICML 2024Memorization Through the Lens of Curvature of Loss Function Around Samples
767. ICML 2024MEMORYLLM: Towards Self-Updatable Large Language Models
768. ICML 2024MGit: A Model Versioning and Management System
769. ICML 2024Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary
770. ICML 2024Mitigating Label Noise on Graphs via Topological Sample Selection
771. ICML 2024MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
772. ICML 2024Model Assessment and Selection under Temporal Distribution Shift
773. ICML 2024Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks
774. ICML 2024Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing
775. ICML 2024Multigroup Robustness
776. ICML 2024MultiMax: Sparse and Multi-Modal Attention Learning
777. ICML 2024Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
778. ICML 2024Naive Bayes Classifiers over Missing Data: Decision and Poisoning
779. ICML 2024Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model
780. ICML 2024Neural Jump-Diffusion Temporal Point Processes
781. ICML 2024NeuralIndicator: Implicit Surface Reconstruction from Neural Indicator Priors
782. ICML 2024Neuro-Symbolic Temporal Point Processes
783. ICML 2024New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering
784. ICML 2024New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming
785. ICML 2024Non-clairvoyant Scheduling with Partial Predictions
786. ICML 2024O$n$ Learning Deep O($n$)-Equivariant Hyperspheres
787. ICML 2024Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms
788. ICML 2024On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
789. ICML 2024On the Last-Iterate Convergence of Shuffling Gradient Methods
790. ICML 2024On the Nonlinearity of Layer Normalization
791. ICML 2024On The Statistical Complexity of Offline Decision-Making
792. ICML 2024On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective
793. ICML 2024One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
794. ICML 2024OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
795. ICML 2024Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique
796. ICML 2024Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks
797. ICML 2024OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models
798. ICML 2024OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos
799. ICML 2024OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport
800. ICML 2024OTMatch: Improving Semi-Supervised Learning with Optimal Transport

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.