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

166 papers, page 3 of 4

101. ICML 2023On the Statistical Benefits of Temporal Difference Learning
102. ICML 2023One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
103. ICML 2023Optimal Arms Identification with Knapsacks
104. ICML 2023Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
105. ICML 2023PAC-Bayesian Offline Contextual Bandits With Guarantees
106. ICML 2023Predicting Ordinary Differential Equations with Transformers
107. ICML 2023Principled Offline RL in the Presence of Rich Exogenous Information
108. ICML 2023Propensity Matters: Measuring and Enhancing Balancing for Recommendation
109. ICML 2023ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
110. ICML 2023Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
111. ICML 2023Quantifying the Variability Collapse of Neural Networks
112. ICML 2023Quantized Distributed Training of Large Models with Convergence Guarantees
113. ICML 2023Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
114. ICML 2023Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
115. ICML 2023Reflected Diffusion Models
116. ICML 2023Regularization-free Diffeomorphic Temporal Alignment Nets
117. ICML 2023Regularizing Towards Soft Equivariance Under Mixed Symmetries
118. ICML 2023Reprogramming Pretrained Language Models for Antibody Sequence Infilling
119. ICML 2023Rethink DARTS Search Space and Renovate a New Benchmark
120. ICML 2023Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?
121. ICML 2023Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation
122. ICML 2023Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
123. ICML 2023Secure Federated Correlation Test and Entropy Estimation
124. ICML 2023Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
125. ICML 2023Sequential Kernelized Independence Testing
126. ICML 2023Sequential Strategic Screening
127. ICML 2023Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments
128. ICML 2023Short-lived High-volume Bandits
129. ICML 2023Simple and Fast Group Robustness by Automatic Feature Reweighting
130. ICML 2023Simple Disentanglement of Style and Content in Visual Representations
131. ICML 2023Simplex Random Features
132. ICML 2023Speeding Up Bellman Ford via Minimum Violation Permutations
133. ICML 2023Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
134. ICML 2023Spurious Valleys and Clustering Behavior of Neural Networks
135. ICML 2023Stable Estimation of Heterogeneous Treatment Effects
136. ICML 2023State and parameter learning with PARIS particle Gibbs
137. ICML 2023Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
138. ICML 2023Streaming Active Learning with Deep Neural Networks
139. ICML 2023Structured Cooperative Learning with Graphical Model Priors
140. ICML 2023Submodular Order Functions and Assortment Optimization
141. ICML 2023Subset-Based Instance Optimality in Private Estimation
142. ICML 2023Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks
143. ICML 2023TabDDPM: Modelling Tabular Data with Diffusion Models
144. ICML 2023The Catalog Problem: Clustering and Ordering Variable-Sized Sets
145. ICML 2023The Fast Johnson-Lindenstrauss Transform Is Even Faster
146. ICML 2023The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
147. ICML 2023The Numerical Stability of Hyperbolic Representation Learning
148. ICML 2023The Regret of Exploration and the Control of Bad Episodes in Reinforcement Learning
149. ICML 2023Topological Point Cloud Clustering
150. ICML 2023Towards a Persistence Diagram that is Robust to Noise and Varied Densities

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.