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

937 papers, page 10 of 19

451. ICLR 2023Improving Differentiable Neural Architecture Search by Encouraging Transferability
452. ICLR 2023Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks
453. ICLR 2023Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
454. ICLR 2023Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
455. ICLR 2023KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
456. ICLR 2023Label-free Concept Bottleneck Models
457. ICLR 2023Latent Bottlenecked Attentive Neural Processes
458. ICLR 2023Latent Neural ODEs with Sparse Bayesian Multiple Shooting
459. ICLR 2023Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
460. ICLR 2023Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
461. ICLR 2023Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
462. ICLR 2023Leveraging Importance Weights in Subset Selection
463. ICLR 2023Leveraging Unlabeled Data to Track Memorization
464. ICLR 2023LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
465. ICLR 2023LMSeg: Language-guided Multi-dataset Segmentation
466. ICLR 2023Long-Tailed Partial Label Learning via Dynamic Rebalancing
467. ICLR 2023Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds
468. ICLR 2023Massively Scaling Heteroscedastic Classifiers
469. ICLR 2023Matching receptor to odorant with protein language and graph neural networks
470. ICLR 2023Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam
471. ICLR 2023Mega: Moving Average Equipped Gated Attention
472. ICLR 2023Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
473. ICLR 2023Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
474. ICLR 2023MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning
475. ICLR 2023Mini-batch $k$-means terminates within $O(d/\epsilon)$ iterations
476. ICLR 2023Mitigating Dataset Bias by Using Per-Sample Gradient
477. ICLR 2023Monocular Scene Reconstruction with 3D SDF Transformers
478. ICLR 2023MPCFORMER: FAST, PERFORMANT AND PRIVATE TRANSFORMER INFERENCE WITH MPC
479. ICLR 2023Mutual Partial Label Learning with Competitive Label Noise
480. ICLR 2023Near-optimal Coresets for Robust Clustering
481. ICLR 2023Neural Architecture Design and Robustness: A Dataset
482. ICLR 2023Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks
483. ICLR 2023Noise-Robust De-Duplication at Scale
484. ICLR 2023NTK-SAP: Improving neural network pruning by aligning training dynamics
485. ICLR 2023On the duality between contrastive and non-contrastive self-supervised learning
486. ICLR 2023On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations
487. ICLR 2023On the Performance of Temporal Difference Learning With Neural Networks
488. ICLR 2023On The Specialization of Neural Modules
489. ICLR 2023On the Word Boundaries of Emergent Languages Based on Harris's Articulation Scheme
490. ICLR 2023Optimal Transport for Offline Imitation Learning
491. ICLR 2023Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
492. ICLR 2023Over-Training with Mixup May Hurt Generalization
493. ICLR 2023PASHA: Efficient HPO and NAS with Progressive Resource Allocation
494. ICLR 2023PerFedMask: Personalized Federated Learning with Optimized Masking Vectors
495. ICLR 2023Personalized Federated Learning with Feature Alignment and Classifier Collaboration
496. ICLR 2023Pre-training via Denoising for Molecular Property Prediction
497. ICLR 2023Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
498. ICLR 2023Provable Robustness against Wasserstein Distribution Shifts via Input Randomization
499. ICLR 2023QuAnt: Quantum Annealing with Learnt Couplings
500. ICLR 2023Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics

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.