Vision-Language Pretraining papers, 2023–2026

Key findings

• Vision-Language Pretraining went from 65 papers in 2023 to 87 in 2026, roughly 1.3x in three years.
• NeurIPS publishes the most Vision-Language Pretraining work: 93 papers from 2023 to 2026, 35% of the four-venue total.
• The fastest-growing overlap is with Applications · computer vision: papers tagged with both rose from 0 in 2023 to 9 in 2026.
• Among the 5 topics under Open-Vocabulary Vision, it ranks #4 by 2026 paper count; the fastest grower in the group, Visual Grounding, is up 4.3x versus 1.3x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Benchmarking Optimizers for Large Language Model Pretraining
• ICML 2026How Does the Pretraining Distribution Shape In-Context Learning? A Fundamental Trade-Off
• ICLR 2026PonderLM: Pretraining Language Models to Ponder in Continuous Space
• CVPR 2026Large-scale Codec Avatars The Unreasonable Effectiveness of Large-scale Avatar Pretraining
• NeurIPS 2025ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
• ICML 2025Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging
• ICLR 2025Attributing Culture-Conditioned Generations to Pretraining Corpora
• CVPR 2025MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining
• NeurIPS 2024Data curation via joint example selection further accelerates multimodal learning
• ICML 2024Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
• ICLR 2024Demystifying CLIP Data
• CVPR 2024ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks
• NeurIPS 2023Bootstrapping Vision-Language Learning with Decoupled Language Pre-training
• ICML 2023Contrastive Learning Meets Homophily: Two Birds with One Stone
• ICLR 2023Energy-Inspired Self-Supervised Pretraining for Vision Models
• CVPR 2023Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm
• NeurIPS 2026C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation
• ICML 2026Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining
• ICLR 2026MICLIP: Learning to Interpret Representation in Vision Models
• CVPR 2026The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations

All Vision-Language Pretraining papers

93 papers, page 1 of 2

1. NeurIPS 2026Benchmarking Optimizers for Large Language Model Pretraining
2. NeurIPS 2026C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation
3. NeurIPS 2026Contrastive Pretraining Scales Agentic Exploration
4. NeurIPS 2026CytoWave: Perturbation-Centric Pretraining for Single-Cell Response Prediction
5. NeurIPS 2026Does Cross-Panel Pretraining Transfer Under Marker Heterogeneity? A Large-Scale Empirical Study in Clinical Flow Cytometry
6. NeurIPS 2026Don't Pay Attention, PLANT It: Pretraining Attention via Learning-to-Rank
7. NeurIPS 2026EMO: Pretraining Mixture of Experts for Emergent Modularity
8. NeurIPS 2026Empowering Time Series Analysis with Large-Scale Multimodal Pretraining
9. NeurIPS 2026FinAl: Fine-grained Alignment for Detail-Preserving Medical Vision-Language Pretraining
10. NeurIPS 2026Improving Self-Supervised Vision Transformers with Cross Distillation
11. NeurIPS 2026Learning to Read Out: Unembedding Dynamics in Language Model Pretraining
12. NeurIPS 2026Learning What to Predict: Downstream-Guided Task Design for Continued Pretraining
13. NeurIPS 2026mmLIP: mmWave Radar-Language Interactive Pretraining via Point Confidence
14. NeurIPS 2026Neuron Populations Exhibit Divergent Selectivity with Scale
15. NeurIPS 2026Nexus: Same Pretraining Loss, Better Downstream Generalization via Common Minima
16. NeurIPS 2026Pretraining Curricula Enable Selective Fine-tuning
17. NeurIPS 2026Pretraining Data Statistics Shape the Phases of Learning Entity Comparison in Language Models
18. NeurIPS 2026ProCLIP: Progressive Vision-Language Alignment via LLM-based Embedder
19. NeurIPS 2026Progressive Residual Warmup for Language Model Pretraining
20. NeurIPS 2026Rethinking Contrastive Targets in Radiology Language-Image Pretraining
21. NeurIPS 2026Scaling Neural Motor Decoding via Decoupled Behavioral Pretraining
22. NeurIPS 2026Shaping Useful Noise: Energy Distributions Predict Visual Pretraining Quality
23. NeurIPS 2026SimReg: Achieving Higher Performance in the Pretraining via Embedding Similarity Regularization
24. NeurIPS 2026Standing on the Shoulders of Giants: Rethinking EEG Foundation Model Pretraining via Multi-Teacher Distillation
25. NeurIPS 2026Strong Teacher Not Needed? On Distillation in LLM Pretraining
26. NeurIPS 2026Towards Scalable Data Diversification for Language Model Pretraining via Leverage Score Sampling
27. NeurIPS 2026TTVidT: Decoupling the Temporal Axis for Efficient Motion-Centric Video Pretraining
28. NeurIPS 20254D-VLA: Spatiotemporal Vision-Language-Action Pretraining with Cross-Scene Calibration
29. NeurIPS 2025ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
30. NeurIPS 2025AmorLIP: Efficient Language-Image Pretraining via Amortization
31. NeurIPS 2025Analyzing Similarity Metrics for Data Selection for Language Model Pretraining
32. NeurIPS 2025Born a Transformer -- Always a Transformer? On the Effect of Pretraining on Architectural Abilities
33. NeurIPS 2025CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation
34. NeurIPS 2025Contrastive Self-Supervised Learning As Neural Manifold Packing
35. NeurIPS 2025Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training
36. NeurIPS 2025EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining
37. NeurIPS 2025Enhancing Contrastive Learning with Variable Similarity
38. NeurIPS 2025Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining
39. NeurIPS 2025Filter Like You Test: Data-Driven Data Filtering for CLIP Pretraining
40. NeurIPS 2025From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures
41. NeurIPS 2025From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models
42. NeurIPS 2025Group-Level Data Selection for Efficient Pretraining
43. NeurIPS 2025Meta CLIP 2: A Worldwide Scaling Recipe
44. NeurIPS 2025MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining
45. NeurIPS 2025Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
46. NeurIPS 2025Object Concepts Emerge from Motion
47. NeurIPS 2025Object-centric binding in Contrastive Language-Image Pretraining
48. NeurIPS 2025Perception Encoder: The best visual embeddings are not at the output of the network
49. NeurIPS 2025REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
50. NeurIPS 2025The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?

FAQ

How many Vision-Language Pretraining papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

263 in total: 65 in 2023, 55 in 2024, 56 in 2025, 87 in 2026.

How many Vision-Language Pretraining papers are at NeurIPS 2026?

NeurIPS 2026 has 27 Vision-Language Pretraining papers, versus 26 the year before.

How many Vision-Language Pretraining papers are at ICLR 2026?

ICLR 2026 has 14 Vision-Language Pretraining papers, versus 17 the year before.

How many Vision-Language Pretraining papers are at ICML 2026?

ICML 2026 has 19 Vision-Language Pretraining papers, versus 3 the year before.

How many Vision-Language Pretraining papers are at CVPR 2026?

CVPR 2026 has 27 Vision-Language Pretraining papers, versus 10 the year before.

Which conference publishes the most Vision-Language Pretraining papers?

NeurIPS, with 93 papers from 2023 to 2026.