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 19 of 19

901. ICML 2023Rethink DARTS Search Space and Renovate a New Benchmark
902. ICML 2023Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?
903. ICML 2023Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation
904. ICML 2023Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
905. ICML 2023Secure Federated Correlation Test and Entropy Estimation
906. ICML 2023Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
907. ICML 2023Sequential Kernelized Independence Testing
908. ICML 2023Sequential Strategic Screening
909. ICML 2023Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments
910. ICML 2023Short-lived High-volume Bandits
911. ICML 2023Simple and Fast Group Robustness by Automatic Feature Reweighting
912. ICML 2023Simple Disentanglement of Style and Content in Visual Representations
913. ICML 2023Simplex Random Features
914. ICML 2023Speeding Up Bellman Ford via Minimum Violation Permutations
915. ICML 2023Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
916. ICML 2023Spurious Valleys and Clustering Behavior of Neural Networks
917. ICML 2023Stable Estimation of Heterogeneous Treatment Effects
918. ICML 2023State and parameter learning with PARIS particle Gibbs
919. ICML 2023Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
920. ICML 2023Streaming Active Learning with Deep Neural Networks
921. ICML 2023Structured Cooperative Learning with Graphical Model Priors
922. ICML 2023Submodular Order Functions and Assortment Optimization
923. ICML 2023Subset-Based Instance Optimality in Private Estimation
924. ICML 2023Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks
925. ICML 2023TabDDPM: Modelling Tabular Data with Diffusion Models
926. ICML 2023The Catalog Problem: Clustering and Ordering Variable-Sized Sets
927. ICML 2023The Fast Johnson-Lindenstrauss Transform Is Even Faster
928. ICML 2023The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
929. ICML 2023The Numerical Stability of Hyperbolic Representation Learning
930. ICML 2023The Regret of Exploration and the Control of Bad Episodes in Reinforcement Learning
931. ICML 2023Topological Point Cloud Clustering
932. ICML 2023Towards a Persistence Diagram that is Robust to Noise and Varied Densities
933. ICML 2023Towards Unbiased Training in Federated Open-world Semi-supervised Learning
934. ICML 2023Towards Understanding and Reducing Graph Structural Noise for GNNs
935. ICML 2023TRAK: Attributing Model Behavior at Scale
936. ICML 2023Transformed Distribution Matching for Missing Value Imputation
937. ICML 2023Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective
938. ICML 2023Uncertain Evidence in Probabilistic Models and Stochastic Simulators
939. ICML 2023Unifying Nesterov's Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions
940. ICML 2023Unlocking Slot Attention by Changing Optimal Transport Costs
941. ICML 2023UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
942. ICML 2023What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective
943. ICML 2023When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
944. ICML 2023When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
945. ICML 2023When does Privileged information Explain Away Label Noise?
946. ICML 2023Why does Throwing Away Data Improve Worst-Group Error?
947. ICML 2023Why Target Networks Stabilise Temporal Difference Methods
948. ICML 2023X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion

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.