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

318 papers, page 3 of 7

101. ICML 2024Evaluation of Test-Time Adaptation Under Computational Time Constraints
102. ICML 2024Expressivity and Generalization: Fragment-Biases for Molecular GNNs
103. ICML 2024Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach
104. ICML 2024Faithfulness Measurable Masked Language Models
105. ICML 2024Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize
106. ICML 2024Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
107. ICML 2024Fine-grained Classes and How to Find Them
108. ICML 2024Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
109. ICML 2024FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction
110. ICML 2024Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics
111. ICML 2024GATE: How to Keep Out Intrusive Neighbors
112. ICML 2024GaussianPro: 3D Gaussian Splatting with Progressive Propagation
113. ICML 2024Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
114. ICML 2024Generalization to New Sequential Decision Making Tasks with In-Context Learning
115. ICML 2024GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding
116. ICML 2024Graph Out-of-Distribution Detection Goes Neighborhood Shaping
117. ICML 2024Graph Positional and Structural Encoder
118. ICML 2024GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs
119. ICML 2024Handling Heterogeneous Curvatures in Bandit LQR Control
120. ICML 2024HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
121. ICML 2024Harmonizing Generalization and Personalization in Federated Prompt Learning
122. ICML 2024Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
123. ICML 2024Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
124. ICML 2024Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity
125. ICML 2024How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
126. ICML 2024How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
127. ICML 2024How Spurious Features are Memorized: Precise Analysis for Random and NTK Features
128. ICML 2024How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
129. ICML 2024How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
130. ICML 2024Hybrid Reinforcement Learning from Offline Observation Alone
131. ICML 2024Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
132. ICML 2024Imitation Learning in Discounted Linear MDPs without exploration assumptions
133. ICML 2024Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
134. ICML 2024Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials
135. ICML 2024Improved Operator Learning by Orthogonal Attention
136. ICML 2024Improving Antibody Humanness Prediction using Patent Data
137. ICML 2024Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
138. ICML 2024Improving Sharpness-Aware Minimization by Lookahead
139. ICML 2024In-Context Language Learning: Architectures and Algorithms
140. ICML 2024In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
141. ICML 2024Incremental Topological Ordering and Cycle Detection with Predictions
142. ICML 2024InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
143. ICML 2024Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks
144. ICML 2024Initial Guessing Bias: How Untrained Networks Favor Some Classes
145. ICML 2024Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment
146. ICML 2024InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning
147. ICML 2024Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification
148. ICML 2024Interpreting and Improving Diffusion Models from an Optimization Perspective
149. ICML 2024Interpreting and Improving Large Language Models in Arithmetic Calculation
150. ICML 2024Junk DNA Hypothesis: Pruning Small Pre-Trained Weights $\textit{Irreversibly}$ and $\textit{Monotonically}$ Impairs ``Difficult" Downstream Tasks in LLMs

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.