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

1,346 papers, page 13 of 27

601. ICML 2024Aligning Transformers with Weisfeiler-Leman
602. ICML 2024Ameliorate Spurious Correlations in Dataset Condensation
603. ICML 2024An Empirical Study of Realized GNN Expressiveness
604. ICML 2024An Explicit Frame Construction for Normalizing 3D Point Clouds
605. ICML 2024An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
606. ICML 2024An Interpretable Evaluation of Entropy-based Novelty of Generative Models
607. ICML 2024Approximate Nearest Neighbor Search with Window Filters
608. ICML 2024ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations
609. ICML 2024Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data
610. ICML 2024Attribute Based Interpretable Evaluation Metrics for Generative Models
611. ICML 2024Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks
612. ICML 2024Autoformalizing Euclidean Geometry
613. ICML 2024Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance
614. ICML 2024BAT: Learning to Reason about Spatial Sounds with Large Language Models
615. ICML 2024Bayesian Adaptation of Network Depth and Width for Continual Learning
616. ICML 2024Bayesian Regret Minimization in Offline Bandits
617. ICML 2024Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
618. ICML 2024Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets
619. ICML 2024Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents
620. ICML 2024Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
621. ICML 2024Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
622. ICML 2024BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
623. ICML 2024Careful with that Scalpel: Improving Gradient Surgery with an EMA
624. ICML 2024CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
625. ICML 2024Causality Based Front-door Defense Against Backdoor Attack on Language Models
626. ICML 2024Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
627. ICML 2024Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension
628. ICML 2024Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference
629. ICML 2024CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
630. ICML 2024CLLMs: Consistency Large Language Models
631. ICML 2024Clustered Federated Learning via Gradient-based Partitioning
632. ICML 2024Codebook Features: Sparse and Discrete Interpretability for Neural Networks
633. ICML 2024CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
634. ICML 2024Combining Experimental and Historical Data for Policy Evaluation
635. ICML 2024Complexity Matters: Feature Learning in the Presence of Spurious Correlations
636. ICML 2024Compressing Large Language Models by Joint Sparsification and Quantization
637. ICML 2024Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
638. ICML 2024Conditional Common Entropy for Instrumental Variable Testing and Partial Identification
639. ICML 2024Conformal Predictions under Markovian Data
640. ICML 2024Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration
641. ICML 2024Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
642. ICML 2024Contextual Feature Selection with Conditional Stochastic Gates
643. ICML 2024Controlled Decoding from Language Models
644. ICML 2024Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point
645. ICML 2024Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning
646. ICML 2024convSeq: Fast and Scalable Method for Detecting Patterns in Spike Data
647. ICML 2024Cooperative Graph Neural Networks
648. ICML 2024CurBench: Curriculum Learning Benchmark
649. ICML 2024DE-COP: Detecting Copyrighted Content in Language Models Training Data
650. ICML 2024Decoupling Learning and Decision-Making: Breaking the $\mathcal{O}(\sqrt{T})$ Barrier in Online Resource Allocation with First-Order Methods

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.