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 3 of 4

101. ICLR 2023Noise-Robust De-Duplication at Scale
102. ICLR 2023NTK-SAP: Improving neural network pruning by aligning training dynamics
103. ICLR 2023On the duality between contrastive and non-contrastive self-supervised learning
104. ICLR 2023On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations
105. ICLR 2023On the Performance of Temporal Difference Learning With Neural Networks
106. ICLR 2023On The Specialization of Neural Modules
107. ICLR 2023On the Word Boundaries of Emergent Languages Based on Harris's Articulation Scheme
108. ICLR 2023Optimal Transport for Offline Imitation Learning
109. ICLR 2023Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
110. ICLR 2023Over-Training with Mixup May Hurt Generalization
111. ICLR 2023PASHA: Efficient HPO and NAS with Progressive Resource Allocation
112. ICLR 2023PerFedMask: Personalized Federated Learning with Optimized Masking Vectors
113. ICLR 2023Personalized Federated Learning with Feature Alignment and Classifier Collaboration
114. ICLR 2023Pre-training via Denoising for Molecular Property Prediction
115. ICLR 2023Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
116. ICLR 2023Provable Robustness against Wasserstein Distribution Shifts via Input Randomization
117. ICLR 2023QuAnt: Quantum Annealing with Learnt Couplings
118. ICLR 2023Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics
119. ICLR 2023Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
120. ICLR 2023Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
121. ICLR 2023Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms
122. ICLR 2023Reversible Column Networks
123. ICLR 2023Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective
124. ICLR 2023S-NeRF: Neural Radiance Fields for Street Views
125. ICLR 2023Scenario-based Question Answering with Interacting Contextual Properties
126. ICLR 2023Score-based Continuous-time Discrete Diffusion Models
127. ICLR 2023Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
128. ICLR 2023Sign and Basis Invariant Networks for Spectral Graph Representation Learning
129. ICLR 2023Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
130. ICLR 2023SMART: Sentences as Basic Units for Text Evaluation
131. ICLR 2023Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
132. ICLR 2023Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
133. ICLR 2023Spherical Sliced-Wasserstein
134. ICLR 2023Spikformer: When Spiking Neural Network Meets Transformer
135. ICLR 2023Supervision Complexity and its Role in Knowledge Distillation
136. ICLR 2023Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow
137. ICLR 2023The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation
138. ICLR 2023The Curious Case of Benign Memorization
139. ICLR 2023The Dark Side of AutoML: Towards Architectural Backdoor Search
140. ICLR 2023The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
141. ICLR 2023Toward Adversarial Training on Contextualized Language Representation
142. ICLR 2023Towards Better Selective Classification
143. ICLR 2023Towards Inferential Reproducibility of Machine Learning Research
144. ICLR 2023Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
145. ICLR 2023Transferable Unlearnable Examples
146. ICLR 2023TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning
147. ICLR 2023TypeT5: Seq2seq Type Inference using Static Analysis
148. ICLR 2023Unbiased Supervised Contrastive Learning
149. ICLR 2023Understanding Influence Functions and Datamodels via Harmonic Analysis
150. ICLR 2023Understanding new tasks through the lens of training data via exponential tilting

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.