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

1,432 papers, page 27 of 29

1301. ICLR 2023Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification
1302. ICLR 2023Dataset Pruning: Reducing Training Data by Examining Generalization Influence
1303. ICLR 2023DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
1304. ICLR 2023DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
1305. ICLR 2023Decision Transformer under Random Frame Dropping
1306. ICLR 2023DENSE RGB SLAM WITH NEURAL IMPLICIT MAPS
1307. ICLR 2023Deterministic training of generative autoencoders using invertible layers
1308. ICLR 2023DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline
1309. ICLR 2023DFPC: Data flow driven pruning of coupled channels without data.
1310. ICLR 2023Disentanglement of Correlated Factors via Hausdorff Factorized Support
1311. ICLR 2023Disentangling the Mechanisms Behind Implicit Regularization in SGD
1312. ICLR 2023Distilling Model Failures as Directions in Latent Space
1313. ICLR 2023Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement
1314. ICLR 2023Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
1315. ICLR 2023Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting
1316. ICLR 2023Equal Improvability: A New Fairness Notion Considering the Long-term Impact
1317. ICLR 2023Equivariant Hypergraph Diffusion Neural Operators
1318. ICLR 2023ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
1319. ICLR 2023ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
1320. ICLR 2023Evaluating Long-Term Memory in 3D Mazes
1321. ICLR 2023Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
1322. ICLR 2023Extracting Robust Models with Uncertain Examples
1323. ICLR 2023Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection
1324. ICLR 2023Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems
1325. ICLR 2023Federated Learning from Small Datasets
1326. ICLR 2023FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
1327. ICLR 2023From $t$-SNE to UMAP with contrastive learning
1328. ICLR 2023Function-space regularized Rényi divergences
1329. ICLR 2023Git Re-Basin: Merging Models modulo Permutation Symmetries
1330. ICLR 2023GLM-130B: An Open Bilingual Pre-trained Model
1331. ICLR 2023Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
1332. ICLR 2023Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
1333. ICLR 2023Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
1334. ICLR 2023HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
1335. ICLR 2023Hybrid RL: Using both offline and online data can make RL efficient
1336. ICLR 2023Impossibly Good Experts and How to Follow Them
1337. ICLR 2023Improved Convergence of Differential Private SGD with Gradient Clipping
1338. ICLR 2023Improved Learning-augmented Algorithms for k-means and k-medians Clustering
1339. ICLR 2023Improving Differentiable Neural Architecture Search by Encouraging Transferability
1340. ICLR 2023Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks
1341. ICLR 2023Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
1342. ICLR 2023Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
1343. ICLR 2023KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
1344. ICLR 2023Label-free Concept Bottleneck Models
1345. ICLR 2023Latent Bottlenecked Attentive Neural Processes
1346. ICLR 2023Latent Neural ODEs with Sparse Bayesian Multiple Shooting
1347. ICLR 2023Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
1348. ICLR 2023Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
1349. ICLR 2023Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
1350. ICLR 2023Leveraging Importance Weights in Subset Selection

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.