Datasets and Benchmarks papers, 2023–2026
New datasets and evaluation protocols
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 5,856 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 227 | 162 | 166 | 382 | 937 |
| 2024 | 448 | 216 | 318 | 364 | 1,346 |
| 2025 | 637 | 419 | 189 | 337 | 1,582 |
| 2026 | 623 | 635 | 275 | 458 | 1,991 |
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
1,346 papers, page 11 of 27
- ICLR 2024Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
- ICLR 2024Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice
- ICLR 2024Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
- ICLR 2024New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
- ICLR 2024Offline RL with Observation Histories: Analyzing and Improving Sample Complexity
- ICLR 2024On Harmonizing Implicit Subpopulations
- ICLR 2024On the Joint Interaction of Models, Data, and Features
- ICLR 2024Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy
- ICLR 2024OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
- ICLR 2024OWL: A Large Language Model for IT Operations
- ICLR 2024PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
- ICLR 2024Patched Denoising Diffusion Models For High-Resolution Image Synthesis
- ICLR 2024PeFLL: Personalized Federated Learning by Learning to Learn
- ICLR 2024PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction
- ICLR 2024Pooling Image Datasets with Multiple Covariate Shift and Imbalance
- ICLR 2024Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
- ICLR 2024Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
- ICLR 2024Proving Test Set Contamination in Black-Box Language Models
- ICLR 2024Pushing Boundaries: Mixup's Influence on Neural Collapse
- ICLR 2024Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
- ICLR 2024Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
- ICLR 2024Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
- ICLR 2024R-MAE: Regions Meet Masked Autoencoders
- ICLR 2024Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
- ICLR 2024ReMasker: Imputing Tabular Data with Masked Autoencoding
- ICLR 2024Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
- ICLR 2024Repelling Random Walks
- ICLR 2024RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
- ICLR 2024Rethinking and Extending the Probabilistic Inference Capacity of GNNs
- ICLR 2024Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
- ICLR 2024RETSim: Resilient and Efficient Text Similarity
- ICLR 2024Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
- ICLR 2024Robust NAS under adversarial training: benchmark, theory, and beyond
- ICLR 2024Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification
- ICLR 2024Safe Collaborative Filtering
- ICLR 2024Scalable Neural Network Kernels
- ICLR 2024Self-Supervised Dataset Distillation for Transfer Learning
- ICLR 2024SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models
- ICLR 2024SliceGPT: Compress Large Language Models by Deleting Rows and Columns
- ICLR 2024SmartPlay : A Benchmark for LLMs as Intelligent Agents
- ICLR 2024Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community
- ICLR 2024SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series
- ICLR 2024SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
- ICLR 2024SpaCE: The Spatial Confounding Environment
- ICLR 2024STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models
- ICLR 2024Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
- ICLR 2024SWE-bench: Can Language Models Resolve Real-world Github Issues?
- ICLR 2024Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
- ICLR 2024TabR: Tabular Deep Learning Meets Nearest Neighbors
- ICLR 2024Tangent Transformers for Composition,Privacy and Removal
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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.