Deep learning · foundation models papers, 2023–2026

Key findings

• Deep learning · foundation models went from 72 papers in 2023 to 177 in 2026, roughly 2.5x in three years.
• NeurIPS publishes the most Deep learning · foundation models work: 299 papers from 2023 to 2026, 56% of the four-venue total.
• The fastest-growing overlap is with Foundation Model Adaptation: papers tagged with both rose from 7 in 2023 to 66 in 2026.
• Among the 11 topics under Deep Learning, it ranks #8 by 2026 paper count; the fastest grower in the group, Diffusion Models, is up 4.1x versus 2.5x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Inferotemporal Cortex Collaborates Before It Codes: Non-Serial Inter-Area Synergy in the Macaque Ventral Stream
• ICML 2026ACO-MoE-LoRA: Evolving-while-Training for Adapting Segment Anything Model 2 to Specialized Domains
• ICLR 2026Qronos: Correcting the Past by Shaping the Future... in Post-Training Quantization
• CVPR 2026Adapting a Pre-trained Single-Cell Foundation Model to Spatial Gene Expression
• NeurIPS 2025An Investigation of Memorization Risk in Healthcare Foundation Models
• ICML 2025Contrastive Localized Language-Image Pre-Training
• ICLR 2025Revisiting Convolution Architecture in the Realm of DNA Foundation Models
• CVPR 2025DEFOM-Stereo: Depth Foundation Model Based Stereo Matching
• NeurIPS 2024$\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
• ICML 2024Position: On the Societal Impact of Open Foundation Models
• CVPR 20243D-LFM: Lifting Foundation Model
• NeurIPS 2023Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models
• ICML 2023Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models
• NeurIPS 2026Do Pathology Foundation Models Encode Disease Progression? A Pseudotime Analysis of Visual Representations
• ICML 2026Alethia: a Foundational Encoder for Voice Deepfakes
• ICLR 2026DND: Boosting Large Language Models with Dynamic Nested Depth
• CVPR 2026UniSER A Foundation Model for Unified Soft Effects Removal
• NeurIPS 2025ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data
• ICML 2025Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
• ICLR 2025Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon

All Deep learning · foundation models papers

78 papers, page 1 of 2

1. CVPR 2025AIpparel: A Multimodal Foundation Model for Digital Garments
2. CVPR 2025DEFOM-Stereo: Depth Foundation Model Based Stereo Matching
3. CVPR 2025SapiensID: Foundation for Human Recognition
4. CVPR 2025SketchFusion: Learning Universal Sketch Features through Fusing Foundation Models
5. ICLR 2025Hyper-Connections
6. ICLR 2025MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods
7. ICLR 2025Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
8. ICLR 2025Revisiting Convolution Architecture in the Realm of DNA Foundation Models
9. ICLR 2025RRM: Robust Reward Model Training Mitigates Reward Hacking
10. ICLR 2025Towards Foundation Models for Mixed Integer Linear Programming
11. ICML 2025Are Large Brainwave Foundation Models Capable Yet ? Insights from Fine-Tuning
12. ICML 2025BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing
13. ICML 2025Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
14. ICML 2025Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions
15. ICML 2025Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
16. ICML 2025Contextures: Representations from Contexts
17. ICML 2025Contrastive Localized Language-Image Pre-Training
18. ICML 2025Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development
19. ICML 2025Diffusion Instruction Tuning
20. ICML 2025ExLM: Rethinking the Impact of $\texttt{[MASK]}$ Tokens in Masked Language Models
21. ICML 2025Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts
22. ICML 2025Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
23. ICML 2025FG-CLIP: Fine-Grained Visual and Textual Alignment
24. ICML 2025From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications
25. ICML 2025GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model
26. ICML 2025GraphGPT: Generative Pre-trained Graph Eulerian Transformer
27. ICML 2025Griffin: Towards a Graph-Centric Relational Database Foundation Model
28. ICML 2025How Expressive are Knowledge Graph Foundation Models?
29. ICML 2025How Far Is Video Generation from World Model: A Physical Law Perspective
30. ICML 2025Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
31. ICML 2025In-Context Deep Learning via Transformer Models
32. ICML 2025In-Context Learning as Conditioned Associative Memory Retrieval
33. ICML 2025Large Continual Instruction Assistant
34. ICML 2025Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning
35. ICML 2025Learning to (Learn at Test Time): RNNs with Expressive Hidden States
36. ICML 2025LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
37. ICML 2025M+: Extending MemoryLLM with Scalable Long-Term Memory
38. ICML 2025Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
39. ICML 2025MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
40. ICML 2025MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections
41. ICML 2025On Path to Multimodal Generalist: General-Level and General-Bench
42. ICML 2025Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads
43. ICML 2025Peri-LN: Revisiting Normalization Layer in the Transformer Architecture
44. ICML 2025Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models
45. ICML 2025Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models
46. ICML 2025Primitive Vision: Improving Diagram Understanding in MLLMs
47. ICML 2025QMamba: On First Exploration of Vision Mamba for Image Quality Assessment
48. ICML 2025Reasoning Limitations of Multimodal Large Language Models. A case study of Bongard Problems
49. ICML 2025Rethinking the Bias of Foundation Model under Long-tailed Distribution
50. ICML 2025Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection

FAQ

How many Deep learning · foundation models papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

536 in total: 72 in 2023, 209 in 2024, 78 in 2025, 177 in 2026.

How many Deep learning · foundation models papers are at NeurIPS 2026?

NeurIPS 2026 has 27 Deep learning · foundation models papers, versus 15 the year before.

How many Deep learning · foundation models papers are at ICLR 2026?

ICLR 2026 has 8 Deep learning · foundation models papers, versus 6 the year before.

How many Deep learning · foundation models papers are at ICML 2026?

ICML 2026 has 135 Deep learning · foundation models papers, versus 53 the year before.

How many Deep learning · foundation models papers are at CVPR 2026?

CVPR 2026 has 7 Deep learning · foundation models papers, versus 4 the year before.

Which conference publishes the most Deep learning · foundation models papers?

NeurIPS, with 299 papers from 2023 to 2026.