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

318 papers, page 5 of 7

201. ICML 2024NeuralIndicator: Implicit Surface Reconstruction from Neural Indicator Priors
202. ICML 2024Neuro-Symbolic Temporal Point Processes
203. ICML 2024New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering
204. ICML 2024New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming
205. ICML 2024Non-clairvoyant Scheduling with Partial Predictions
206. ICML 2024O$n$ Learning Deep O($n$)-Equivariant Hyperspheres
207. ICML 2024Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms
208. ICML 2024On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
209. ICML 2024On the Last-Iterate Convergence of Shuffling Gradient Methods
210. ICML 2024On the Nonlinearity of Layer Normalization
211. ICML 2024On The Statistical Complexity of Offline Decision-Making
212. ICML 2024On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective
213. ICML 2024One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
214. ICML 2024OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
215. ICML 2024Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique
216. ICML 2024Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks
217. ICML 2024OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models
218. ICML 2024OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos
219. ICML 2024OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport
220. ICML 2024OTMatch: Improving Semi-Supervised Learning with Optimal Transport
221. ICML 2024Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
222. ICML 2024Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
223. ICML 2024PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
224. ICML 2024Perturb-and-Project: Differentially Private Similarities and Marginals
225. ICML 2024Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach
226. ICML 2024Plug-and-Play image restoration with Stochastic deNOising REgularization
227. ICML 2024PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels
228. ICML 2024Position: $C^*$-Algebraic Machine Learning $-$ Moving in a New Direction
229. ICML 2024Position: A Roadmap to Pluralistic Alignment
230. ICML 2024Position: A Safe Harbor for AI Evaluation and Red Teaming
231. ICML 2024Position: AI/ML Influencers Have a Place in the Academic Process
232. ICML 2024Position: Amazing Things Come From Having Many Good Models
233. ICML 2024Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
234. ICML 2024Position: Benchmarking is Limited in Reinforcement Learning Research
235. ICML 2024Position: Is machine learning good or bad for the natural sciences?
236. ICML 2024Position: Measure Dataset Diversity, Don't Just Claim It
237. ICML 2024Position: The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
238. ICML 2024Position: Topological Deep Learning is the New Frontier for Relational Learning
239. ICML 2024Position: TrustLLM: Trustworthiness in Large Language Models
240. ICML 2024Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks
241. ICML 2024Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent
242. ICML 2024Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation
243. ICML 2024Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
244. ICML 2024Prodigy: An Expeditiously Adaptive Parameter-Free Learner
245. ICML 2024Provable Contrastive Continual Learning
246. ICML 2024Provably Scalable Black-Box Variational Inference with Structured Variational Families
247. ICML 2024PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency
248. ICML 2024Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent
249. ICML 2024QuIP$\#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
250. ICML 2024ReconBoost: Boosting Can Achieve Modality Reconcilement

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.