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 111 of 118

5501. ICML 2023Evaluating Unsupervised Denoising Requires Unsupervised Metrics
5502. ICML 2023Explainability as statistical inference
5503. ICML 2023Exploring the Benefits of Training Expert Language Models over Instruction Tuning
5504. ICML 2023Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
5505. ICML 2023Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
5506. ICML 2023Fair and Optimal Classification via Post-Processing
5507. ICML 2023Fast Excess Risk Rates via Offset Rademacher Complexity
5508. ICML 2023Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
5509. ICML 2023Finding Generalization Measures by Contrasting Signal and Noise
5510. ICML 2023Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
5511. ICML 2023Fisher Information Embedding for Node and Graph Learning
5512. ICML 2023From Hypergraph Energy Functions to Hypergraph Neural Networks
5513. ICML 2023Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods
5514. ICML 2023Generalized Implicit Follow-The-Regularized-Leader
5515. ICML 2023Geometric Autoencoders - What You See is What You Decode
5516. ICML 2023GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
5517. ICML 2023Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement
5518. ICML 2023Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs
5519. ICML 2023High Probability Convergence of Stochastic Gradient Methods
5520. ICML 2023High-dimensional Clustering onto Hamiltonian Cycle
5521. ICML 2023Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds
5522. ICML 2023How Does Information Bottleneck Help Deep Learning?
5523. ICML 2023Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
5524. ICML 2023Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
5525. ICML 2023Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
5526. ICML 2023Improving Fair Training under Correlation Shifts
5527. ICML 2023In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
5528. ICML 2023InfoOT: Information Maximizing Optimal Transport
5529. ICML 2023Input uncertainty propagation through trained neural networks
5530. ICML 2023Investigating the Role of Model-Based Learning in Exploration and Transfer
5531. ICML 2023Iterative Approximate Cross-Validation
5532. ICML 2023JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift
5533. ICML 2023Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
5534. ICML 2023Learnability and Algorithm for Continual Learning
5535. ICML 2023Learning Dense Correspondences between Photos and Sketches
5536. ICML 2023Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation
5537. ICML 2023Learning GFlowNets From Partial Episodes For Improved Convergence And Stability
5538. ICML 2023Learning Mixtures of Markov Chains and MDPs
5539. ICML 2023Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation
5540. ICML 2023Learning Prescriptive ReLU Networks
5541. ICML 2023Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning
5542. ICML 2023Learning to Boost Training by Periodic Nowcasting Near Future Weights
5543. ICML 2023LegendreTron: Uprising Proper Multiclass Loss Learning
5544. ICML 2023Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies
5545. ICML 2023Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels
5546. ICML 2023MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
5547. ICML 2023Margin-based Neural Network Watermarking
5548. ICML 2023Measuring the Impact of Programming Language Distribution
5549. ICML 2023Mechanistic Mode Connectivity
5550. ICML 2023Mu$^2$SLAM: Multitask, Multilingual Speech and 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.