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

948 papers, page 10 of 19

451. ICML 2025Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
452. ICML 2025Understanding Fixed Predictions via Confined Regions
453. ICML 2025Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More
454. ICML 2025Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach
455. ICML 2025Unlocking Post-hoc Dataset Inference with Synthetic Data
456. ICML 2025Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
457. ICML 2025Unpaired Point Cloud Completion via Unbalanced Optimal Transport
458. ICML 2025Unsupervised Learning for Class Distribution Mismatch
459. ICML 2025When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration
460. ICML 2025When, Where and Why to Average Weights?
461. ICML 2025Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
462. ICML 2025WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
463. ICML 2025WorldSimBench: Towards Video Generation Models as World Simulators
464. ICML 2025ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think
465. ICML 2024$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
466. ICML 2024A Closer Look at the Limitations of Instruction Tuning
467. ICML 2024A connection between Tempering and Entropic Mirror Descent
468. ICML 2024A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
469. ICML 2024A Dynamical Model of Neural Scaling Laws
470. ICML 2024A Field Guide for Pacing Budget and ROS Constraints
471. ICML 2024A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
472. ICML 2024A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks
473. ICML 2024A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
474. ICML 2024A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems
475. ICML 2024A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs
476. ICML 2024A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
477. ICML 2024A Tensor Decomposition Perspective on Second-order RNNs
478. ICML 2024A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks
479. ICML 2024A Touch, Vision, and Language Dataset for Multimodal Alignment
480. ICML 2024Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
481. ICML 2024Active Statistical Inference
482. ICML 2024Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework
483. ICML 2024Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms
484. ICML 2024Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
485. ICML 2024Aligning Transformers with Weisfeiler-Leman
486. ICML 2024Ameliorate Spurious Correlations in Dataset Condensation
487. ICML 2024An Empirical Study of Realized GNN Expressiveness
488. ICML 2024An Explicit Frame Construction for Normalizing 3D Point Clouds
489. ICML 2024An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
490. ICML 2024An Interpretable Evaluation of Entropy-based Novelty of Generative Models
491. ICML 2024Approximate Nearest Neighbor Search with Window Filters
492. ICML 2024ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations
493. ICML 2024Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data
494. ICML 2024Attribute Based Interpretable Evaluation Metrics for Generative Models
495. ICML 2024Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks
496. ICML 2024Autoformalizing Euclidean Geometry
497. ICML 2024Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance
498. ICML 2024BAT: Learning to Reason about Spatial Sounds with Large Language Models
499. ICML 2024Bayesian Adaptation of Network Depth and Width for Continual Learning
500. ICML 2024Bayesian Regret Minimization in Offline Bandits

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.