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 13 of 19

601. ICML 2024Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
602. ICML 2024Improving Sharpness-Aware Minimization by Lookahead
603. ICML 2024In-Context Language Learning: Architectures and Algorithms
604. ICML 2024In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
605. ICML 2024Incremental Topological Ordering and Cycle Detection with Predictions
606. ICML 2024InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
607. ICML 2024Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks
608. ICML 2024Initial Guessing Bias: How Untrained Networks Favor Some Classes
609. ICML 2024Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment
610. ICML 2024InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning
611. ICML 2024Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification
612. ICML 2024Interpreting and Improving Diffusion Models from an Optimization Perspective
613. ICML 2024Interpreting and Improving Large Language Models in Arithmetic Calculation
614. ICML 2024Junk DNA Hypothesis: Pruning Small Pre-Trained Weights $\textit{Irreversibly}$ and $\textit{Monotonically}$ Impairs ``Difficult" Downstream Tasks in LLMs
615. ICML 2024Kepler codebook
616. ICML 2024KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations
617. ICML 2024Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
618. ICML 2024Language Models as Science Tutors
619. ICML 2024Large Scale Dataset Distillation with Domain Shift
620. ICML 2024Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping
621. ICML 2024LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies
622. ICML 2024Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement
623. ICML 2024Learning and Forgetting Unsafe Examples in Large Language Models
624. ICML 2024Learning Decision Policies with Instrumental Variables through Double Machine Learning
625. ICML 2024Learning Decision Trees and Forests with Algorithmic Recourse
626. ICML 2024Learning from Integral Losses in Physics Informed Neural Networks
627. ICML 2024Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method
628. ICML 2024Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds
629. ICML 2024Learning Mixtures of Gaussian Processes through Random Projection
630. ICML 2024Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
631. ICML 2024Learning the Target Network in Function Space
632. ICML 2024Learning to Compile Programs to Neural Networks
633. ICML 2024Learning to Remove Cuts in Integer Linear Programming
634. ICML 2024Learning Universal Predictors
635. ICML 2024Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
636. ICML 2024Limited Preference Aided Imitation Learning from Imperfect Demonstrations
637. ICML 2024LLaGA: Large Language and Graph Assistant
638. ICML 2024LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
639. ICML 2024Localizing Task Information for Improved Model Merging and Compression
640. ICML 2024Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining
641. ICML 2024Low-Rank Similarity Mining for Multimodal Dataset Distillation
642. ICML 2024Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
643. ICML 2024MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
644. ICML 2024Making Old Things New: A Unified Algorithm for Differentially Private Clustering
645. ICML 2024Mapping the Multiverse of Latent Representations
646. ICML 2024Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games
647. ICML 2024MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
648. ICML 2024Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning
649. ICML 2024Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization
650. ICML 2024Memorization Through the Lens of Curvature of Loss Function Around Samples

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.