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 12 of 19

551. ICML 2024Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset
552. ICML 2024Does Label Smoothing Help Deep Partial Label Learning?
553. ICML 2024Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget
554. ICML 2024DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
555. ICML 2024DsDm: Model-Aware Dataset Selection with Datamodels
556. ICML 2024Dynamic Evaluation of Large Language Models by Meta Probing Agents
557. ICML 2024Dynamic Facility Location in High Dimensional Euclidean Spaces
558. ICML 2024Dynamic Spectral Clustering with Provable Approximation Guarantee
559. ICML 2024Dynamic Survival Analysis with Controlled Latent States
560. ICML 2024eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
561. ICML 2024Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining
562. ICML 2024Enhancing Sufficient Dimension Reduction via Hellinger Correlation
563. ICML 2024ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection
564. ICML 2024Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models
565. ICML 2024Evaluation of Test-Time Adaptation Under Computational Time Constraints
566. ICML 2024Expressivity and Generalization: Fragment-Biases for Molecular GNNs
567. ICML 2024Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach
568. ICML 2024Faithfulness Measurable Masked Language Models
569. ICML 2024Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize
570. ICML 2024Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
571. ICML 2024Fine-grained Classes and How to Find Them
572. ICML 2024Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
573. ICML 2024FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction
574. ICML 2024Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics
575. ICML 2024GATE: How to Keep Out Intrusive Neighbors
576. ICML 2024GaussianPro: 3D Gaussian Splatting with Progressive Propagation
577. ICML 2024Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
578. ICML 2024Generalization to New Sequential Decision Making Tasks with In-Context Learning
579. ICML 2024GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding
580. ICML 2024Graph Out-of-Distribution Detection Goes Neighborhood Shaping
581. ICML 2024Graph Positional and Structural Encoder
582. ICML 2024GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs
583. ICML 2024Handling Heterogeneous Curvatures in Bandit LQR Control
584. ICML 2024HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
585. ICML 2024Harmonizing Generalization and Personalization in Federated Prompt Learning
586. ICML 2024Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
587. ICML 2024Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
588. ICML 2024Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity
589. ICML 2024How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
590. ICML 2024How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
591. ICML 2024How Spurious Features are Memorized: Precise Analysis for Random and NTK Features
592. ICML 2024How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
593. ICML 2024How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
594. ICML 2024Hybrid Reinforcement Learning from Offline Observation Alone
595. ICML 2024Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
596. ICML 2024Imitation Learning in Discounted Linear MDPs without exploration assumptions
597. ICML 2024Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
598. ICML 2024Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials
599. ICML 2024Improved Operator Learning by Orthogonal Attention
600. ICML 2024Improving Antibody Humanness Prediction using Patent Data

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.