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 11 of 19

501. ICML 2024Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
502. ICML 2024Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets
503. ICML 2024Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents
504. ICML 2024Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
505. ICML 2024Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
506. ICML 2024BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
507. ICML 2024Careful with that Scalpel: Improving Gradient Surgery with an EMA
508. ICML 2024CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
509. ICML 2024Causality Based Front-door Defense Against Backdoor Attack on Language Models
510. ICML 2024Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
511. ICML 2024Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension
512. ICML 2024Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference
513. ICML 2024CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
514. ICML 2024CLLMs: Consistency Large Language Models
515. ICML 2024Clustered Federated Learning via Gradient-based Partitioning
516. ICML 2024Codebook Features: Sparse and Discrete Interpretability for Neural Networks
517. ICML 2024CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
518. ICML 2024Combining Experimental and Historical Data for Policy Evaluation
519. ICML 2024Complexity Matters: Feature Learning in the Presence of Spurious Correlations
520. ICML 2024Compressing Large Language Models by Joint Sparsification and Quantization
521. ICML 2024Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
522. ICML 2024Conditional Common Entropy for Instrumental Variable Testing and Partial Identification
523. ICML 2024Conformal Predictions under Markovian Data
524. ICML 2024Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration
525. ICML 2024Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
526. ICML 2024Contextual Feature Selection with Conditional Stochastic Gates
527. ICML 2024Controlled Decoding from Language Models
528. ICML 2024Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point
529. ICML 2024Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning
530. ICML 2024convSeq: Fast and Scalable Method for Detecting Patterns in Spike Data
531. ICML 2024Cooperative Graph Neural Networks
532. ICML 2024CurBench: Curriculum Learning Benchmark
533. ICML 2024DE-COP: Detecting Copyrighted Content in Language Models Training Data
534. ICML 2024Decoupling Learning and Decision-Making: Breaking the $\mathcal{O}(\sqrt{T})$ Barrier in Online Resource Allocation with First-Order Methods
535. ICML 2024Deep Networks Always Grok and Here is Why
536. ICML 2024Deep Neural Room Acoustics Primitive
537. ICML 2024Defining Neural Network Architecture through Polytope Structures of Datasets
538. ICML 2024Deletion-Anticipative Data Selection with a Limited Budget
539. ICML 2024Differentiable Combinatorial Scheduling at Scale
540. ICML 2024Differentiable Weightless Neural Networks
541. ICML 2024Differentially Private Decentralized Learning with Random Walks
542. ICML 2024Differentially Private Worst-group Risk Minimization
543. ICML 2024DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
544. ICML 2024DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
545. ICML 2024Directly Denoising Diffusion Models
546. ICML 2024Discovering Environments with XRM
547. ICML 2024Discovering Features with Synergistic Interactions in Multiple Views
548. ICML 2024Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion
549. ICML 2024Distributional Bellman Operators over Mean Embeddings
550. ICML 2024Distributionally Robust Data Valuation

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.