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

5,852 papers, page 90 of 118

4451. ICML 2024Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
4452. ICML 2024Transitional Uncertainty with Layered Intermediate Predictions
4453. ICML 2024Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning
4454. ICML 2024Trustless Audits without Revealing Data or Models
4455. ICML 2024Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
4456. ICML 2024Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias
4457. ICML 2024ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
4458. ICML 2024Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
4459. ICML 2024Unveiling Privacy, Memorization, and Input Curvature Links
4460. ICML 2024VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception
4461. ICML 2024Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer
4462. ICML 2024Weighted distance nearest neighbor condensing
4463. ICML 2024What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
4464. ICML 2024What is Dataset Distillation Learning?
4465. ICML 2024What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
4466. ICML 2024When and How Does In-Distribution Label Help Out-of-Distribution Detection?
4467. ICML 2024Winner-takes-all learners are geometry-aware conditional density estimators
4468. NeurIPS 2024$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
4469. NeurIPS 2024$E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset
4470. NeurIPS 2024A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
4471. NeurIPS 2024A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types
4472. NeurIPS 2024A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
4473. NeurIPS 2024A Closer Look at AUROC and AUPRC under Class Imbalance
4474. NeurIPS 2024A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
4475. NeurIPS 2024A Functional Extension of Semi-Structured Networks
4476. NeurIPS 2024A Generative Model of Symmetry Transformations
4477. NeurIPS 2024A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
4478. NeurIPS 2024A probability contrastive learning framework for 3D molecular representation learning
4479. NeurIPS 2024A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models
4480. NeurIPS 2024A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
4481. NeurIPS 2024A Systematic Review of NeurIPS Dataset Management Practices
4482. NeurIPS 2024A Taxonomy of Challenges to Curating Fair Datasets
4483. NeurIPS 2024A Tractable Inference Perspective of Offline RL
4484. NeurIPS 2024Accuracy is Not All You Need
4485. NeurIPS 2024Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation
4486. NeurIPS 2024Achievable Fairness on Your Data With Utility Guarantees
4487. NeurIPS 2024Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
4488. NeurIPS 2024Active preference learning for ordering items in- and out-of-sample
4489. NeurIPS 2024ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets
4490. NeurIPS 2024Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis
4491. NeurIPS 2024Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
4492. NeurIPS 2024Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation
4493. NeurIPS 2024Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence
4494. NeurIPS 2024Advancing Video Anomaly Detection: A Concise Review and a New Dataset
4495. NeurIPS 2024Algorithmic progress in language models
4496. NeurIPS 2024Alias-Free Mamba Neural Operator
4497. NeurIPS 2024AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery
4498. NeurIPS 2024Amortized Fourier Neural Operators
4499. NeurIPS 2024An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
4500. NeurIPS 2024ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models

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.