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 14 of 27

651. ICML 2024Deep Networks Always Grok and Here is Why
652. ICML 2024Deep Neural Room Acoustics Primitive
653. ICML 2024Defining Neural Network Architecture through Polytope Structures of Datasets
654. ICML 2024Deletion-Anticipative Data Selection with a Limited Budget
655. ICML 2024Differentiable Combinatorial Scheduling at Scale
656. ICML 2024Differentiable Weightless Neural Networks
657. ICML 2024Differentially Private Decentralized Learning with Random Walks
658. ICML 2024Differentially Private Worst-group Risk Minimization
659. ICML 2024DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
660. ICML 2024DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
661. ICML 2024Directly Denoising Diffusion Models
662. ICML 2024Discovering Environments with XRM
663. ICML 2024Discovering Features with Synergistic Interactions in Multiple Views
664. ICML 2024Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion
665. ICML 2024Distributional Bellman Operators over Mean Embeddings
666. ICML 2024Distributionally Robust Data Valuation
667. ICML 2024Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset
668. ICML 2024Does Label Smoothing Help Deep Partial Label Learning?
669. ICML 2024Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget
670. ICML 2024DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
671. ICML 2024DsDm: Model-Aware Dataset Selection with Datamodels
672. ICML 2024Dynamic Evaluation of Large Language Models by Meta Probing Agents
673. ICML 2024Dynamic Facility Location in High Dimensional Euclidean Spaces
674. ICML 2024Dynamic Spectral Clustering with Provable Approximation Guarantee
675. ICML 2024Dynamic Survival Analysis with Controlled Latent States
676. ICML 2024eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
677. ICML 2024Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining
678. ICML 2024Enhancing Sufficient Dimension Reduction via Hellinger Correlation
679. ICML 2024ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection
680. ICML 2024Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models
681. ICML 2024Evaluation of Test-Time Adaptation Under Computational Time Constraints
682. ICML 2024Expressivity and Generalization: Fragment-Biases for Molecular GNNs
683. ICML 2024Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach
684. ICML 2024Faithfulness Measurable Masked Language Models
685. ICML 2024Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize
686. ICML 2024Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
687. ICML 2024Fine-grained Classes and How to Find Them
688. ICML 2024Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
689. ICML 2024FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction
690. ICML 2024Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics
691. ICML 2024GATE: How to Keep Out Intrusive Neighbors
692. ICML 2024GaussianPro: 3D Gaussian Splatting with Progressive Propagation
693. ICML 2024Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
694. ICML 2024Generalization to New Sequential Decision Making Tasks with In-Context Learning
695. ICML 2024GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding
696. ICML 2024Graph Out-of-Distribution Detection Goes Neighborhood Shaping
697. ICML 2024Graph Positional and Structural Encoder
698. ICML 2024GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs
699. ICML 2024Handling Heterogeneous Curvatures in Bandit LQR Control
700. ICML 2024HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

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.