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 15 of 27

701. ICML 2024Harmonizing Generalization and Personalization in Federated Prompt Learning
702. ICML 2024Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
703. ICML 2024Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
704. ICML 2024Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity
705. ICML 2024How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
706. ICML 2024How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
707. ICML 2024How Spurious Features are Memorized: Precise Analysis for Random and NTK Features
708. ICML 2024How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
709. ICML 2024How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
710. ICML 2024Hybrid Reinforcement Learning from Offline Observation Alone
711. ICML 2024Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
712. ICML 2024Imitation Learning in Discounted Linear MDPs without exploration assumptions
713. ICML 2024Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
714. ICML 2024Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials
715. ICML 2024Improved Operator Learning by Orthogonal Attention
716. ICML 2024Improving Antibody Humanness Prediction using Patent Data
717. ICML 2024Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
718. ICML 2024Improving Sharpness-Aware Minimization by Lookahead
719. ICML 2024In-Context Language Learning: Architectures and Algorithms
720. ICML 2024In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
721. ICML 2024Incremental Topological Ordering and Cycle Detection with Predictions
722. ICML 2024InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
723. ICML 2024Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks
724. ICML 2024Initial Guessing Bias: How Untrained Networks Favor Some Classes
725. ICML 2024Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment
726. ICML 2024InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning
727. ICML 2024Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification
728. ICML 2024Interpreting and Improving Diffusion Models from an Optimization Perspective
729. ICML 2024Interpreting and Improving Large Language Models in Arithmetic Calculation
730. ICML 2024Junk DNA Hypothesis: Pruning Small Pre-Trained Weights $\textit{Irreversibly}$ and $\textit{Monotonically}$ Impairs ``Difficult" Downstream Tasks in LLMs
731. ICML 2024Kepler codebook
732. ICML 2024KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations
733. ICML 2024Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
734. ICML 2024Language Models as Science Tutors
735. ICML 2024Large Scale Dataset Distillation with Domain Shift
736. ICML 2024Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping
737. ICML 2024LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies
738. ICML 2024Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement
739. ICML 2024Learning and Forgetting Unsafe Examples in Large Language Models
740. ICML 2024Learning Decision Policies with Instrumental Variables through Double Machine Learning
741. ICML 2024Learning Decision Trees and Forests with Algorithmic Recourse
742. ICML 2024Learning from Integral Losses in Physics Informed Neural Networks
743. ICML 2024Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method
744. ICML 2024Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds
745. ICML 2024Learning Mixtures of Gaussian Processes through Random Projection
746. ICML 2024Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
747. ICML 2024Learning the Target Network in Function Space
748. ICML 2024Learning to Compile Programs to Neural Networks
749. ICML 2024Learning to Remove Cuts in Integer Linear Programming
750. ICML 2024Learning Universal Predictors

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.