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

162 papers, page 2 of 4

51. ICLR 2023Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
52. ICLR 2023Extracting Robust Models with Uncertain Examples
53. ICLR 2023Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection
54. ICLR 2023Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems
55. ICLR 2023Federated Learning from Small Datasets
56. ICLR 2023FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
57. ICLR 2023From $t$-SNE to UMAP with contrastive learning
58. ICLR 2023Function-space regularized Rényi divergences
59. ICLR 2023Git Re-Basin: Merging Models modulo Permutation Symmetries
60. ICLR 2023GLM-130B: An Open Bilingual Pre-trained Model
61. ICLR 2023Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
62. ICLR 2023Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
63. ICLR 2023Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
64. ICLR 2023HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
65. ICLR 2023Hybrid RL: Using both offline and online data can make RL efficient
66. ICLR 2023Impossibly Good Experts and How to Follow Them
67. ICLR 2023Improved Convergence of Differential Private SGD with Gradient Clipping
68. ICLR 2023Improved Learning-augmented Algorithms for k-means and k-medians Clustering
69. ICLR 2023Improving Differentiable Neural Architecture Search by Encouraging Transferability
70. ICLR 2023Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks
71. ICLR 2023Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
72. ICLR 2023Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
73. ICLR 2023KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
74. ICLR 2023Label-free Concept Bottleneck Models
75. ICLR 2023Latent Bottlenecked Attentive Neural Processes
76. ICLR 2023Latent Neural ODEs with Sparse Bayesian Multiple Shooting
77. ICLR 2023Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
78. ICLR 2023Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
79. ICLR 2023Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
80. ICLR 2023Leveraging Importance Weights in Subset Selection
81. ICLR 2023Leveraging Unlabeled Data to Track Memorization
82. ICLR 2023LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
83. ICLR 2023LMSeg: Language-guided Multi-dataset Segmentation
84. ICLR 2023Long-Tailed Partial Label Learning via Dynamic Rebalancing
85. ICLR 2023Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds
86. ICLR 2023Massively Scaling Heteroscedastic Classifiers
87. ICLR 2023Matching receptor to odorant with protein language and graph neural networks
88. ICLR 2023Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam
89. ICLR 2023Mega: Moving Average Equipped Gated Attention
90. ICLR 2023Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
91. ICLR 2023Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
92. ICLR 2023MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning
93. ICLR 2023Mini-batch $k$-means terminates within $O(d/\epsilon)$ iterations
94. ICLR 2023Mitigating Dataset Bias by Using Per-Sample Gradient
95. ICLR 2023Monocular Scene Reconstruction with 3D SDF Transformers
96. ICLR 2023MPCFORMER: FAST, PERFORMANT AND PRIVATE TRANSFORMER INFERENCE WITH MPC
97. ICLR 2023Mutual Partial Label Learning with Competitive Label Noise
98. ICLR 2023Near-optimal Coresets for Robust Clustering
99. ICLR 2023Neural Architecture Design and Robustness: A Dataset
100. ICLR 2023Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks

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.