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

1,432 papers, page 26 of 29

1251. ICLR 2024Towards Understanding Factual Knowledge of Large Language Models
1252. ICLR 2024Training Unbiased Diffusion Models From Biased Dataset
1253. ICLR 2024Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets
1254. ICLR 2024Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
1255. ICLR 2024Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
1256. ICLR 2024Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
1257. ICLR 2024Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
1258. ICLR 2024Unsupervised Order Learning
1259. ICLR 2024Unveiling the Pitfalls of Knowledge Editing for Large Language Models
1260. ICLR 2024ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
1261. ICLR 2024VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
1262. ICLR 2024VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
1263. ICLR 2024ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
1264. ICLR 2024VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
1265. ICLR 2024WebArena: A Realistic Web Environment for Building Autonomous Agents
1266. ICLR 2024What's In My Big Data?
1267. ICLR 2024When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations
1268. ICLR 2024WildChat: 1M ChatGPT Interaction Logs in the Wild
1269. ICLR 2024Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML
1270. ICLR 2024Zero and Few-shot Semantic Parsing with Ambiguous Inputs
1271. ICLR 2023$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
1272. ICLR 2023$\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks
1273. ICLR 2023A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
1274. ICLR 2023A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
1275. ICLR 2023A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming
1276. ICLR 2023A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond
1277. ICLR 2023A law of adversarial risk, interpolation, and label noise
1278. ICLR 2023A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
1279. ICLR 2023A Neural Mean Embedding Approach for Back-door and Front-door Adjustment
1280. ICLR 2023A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy
1281. ICLR 2023A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
1282. ICLR 2023A Theory of Dynamic Benchmarks
1283. ICLR 2023ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
1284. ICLR 2023Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
1285. ICLR 2023Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks
1286. ICLR 2023Avoiding spurious correlations via logit correction
1287. ICLR 2023Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
1288. ICLR 2023Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images
1289. ICLR 2023Bayesian Oracle for bounding information gain in neural encoding models
1290. ICLR 2023BC-IRL: Learning Generalizable Reward Functions from Demonstrations
1291. ICLR 2023BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion
1292. ICLR 2023Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD
1293. ICLR 2023Bridge the Inference Gaps of Neural Processes via Expectation Maximization
1294. ICLR 2023Calibrating the Rigged Lottery: Making All Tickets Reliable
1295. ICLR 2023Capturing the Motion of Every Joint: 3D Human Pose and Shape Estimation with Independent Tokens
1296. ICLR 2023CktGNN: Circuit Graph Neural Network for Electronic Design Automation
1297. ICLR 2023Compressing multidimensional weather and climate data into neural networks
1298. ICLR 2023Continual evaluation for lifelong learning: Identifying the stability gap
1299. ICLR 2023ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
1300. ICLR 2023Coverage-centric Coreset Selection for High Pruning Rates

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.