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 18 of 27

851. ICML 2024SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
852. ICML 2024SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic
853. ICML 2024Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network
854. ICML 2024Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
855. ICML 2024Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
856. ICML 2024SMaRt: Improving GANs with Score Matching Regularity
857. ICML 2024Soft Prompt Recovers Compressed LLMs, Transferably
858. ICML 2024Sparse and Structured Hopfield Networks
859. ICML 2024Sparsest Models Elude Pruning: An Exposé of Pruning’s Current Capabilities
860. ICML 2024Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
861. ICML 2024Statistical Inference Under Constrained Selection Bias
862. ICML 2024StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
863. ICML 2024Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
864. ICML 2024Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
865. ICML 2024Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos
866. ICML 2024The Entropy Enigma: Success and Failure of Entropy Minimization
867. ICML 2024The Fundamental Limits of Least-Privilege Learning
868. ICML 2024The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning
869. ICML 2024Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability
870. ICML 2024Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration
871. ICML 2024Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
872. ICML 2024tinyBenchmarks: evaluating LLMs with fewer examples
873. ICML 2024Total Variation Distance Meets Probabilistic Inference
874. ICML 2024Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention
875. ICML 2024Towards Compositionality in Concept Learning
876. ICML 2024Towards Efficient Training and Evaluation of Robust Models against $l_0$ Bounded Adversarial Perturbations
877. ICML 2024Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
878. ICML 2024Towards Modular LLMs by Building and Reusing a Library of LoRAs
879. ICML 2024Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error
880. ICML 2024Towards Scalable and Versatile Weight Space Learning
881. ICML 2024Trained Random Forests Completely Reveal your Dataset
882. ICML 2024Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
883. ICML 2024Transitional Uncertainty with Layered Intermediate Predictions
884. ICML 2024Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning
885. ICML 2024Trustless Audits without Revealing Data or Models
886. ICML 2024Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
887. ICML 2024Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias
888. ICML 2024ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
889. ICML 2024Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
890. ICML 2024Unveiling Privacy, Memorization, and Input Curvature Links
891. ICML 2024VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception
892. ICML 2024Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer
893. ICML 2024Weighted distance nearest neighbor condensing
894. ICML 2024What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
895. ICML 2024What is Dataset Distillation Learning?
896. ICML 2024What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
897. ICML 2024When and How Does In-Distribution Label Help Out-of-Distribution Detection?
898. ICML 2024Winner-takes-all learners are geometry-aware conditional density estimators
899. NeurIPS 2024$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
900. NeurIPS 2024$E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset

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.