Deep learning · foundation models papers, 2023–2026
Deep learning area: foundation_models
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 536 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 65 | 0 | 7 | 0 | 72 |
| 2024 | 192 | 0 | 11 | 6 | 209 |
| 2025 | 15 | 6 | 53 | 4 | 78 |
| 2026 | 27 | 8 | 135 | 7 | 177 |
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
536 papers, page 5 of 11
- ICML 2025From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications
- ICML 2025GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model
- ICML 2025GraphGPT: Generative Pre-trained Graph Eulerian Transformer
- ICML 2025Griffin: Towards a Graph-Centric Relational Database Foundation Model
- ICML 2025How Expressive are Knowledge Graph Foundation Models?
- ICML 2025How Far Is Video Generation from World Model: A Physical Law Perspective
- ICML 2025Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
- ICML 2025In-Context Deep Learning via Transformer Models
- ICML 2025In-Context Learning as Conditioned Associative Memory Retrieval
- ICML 2025Large Continual Instruction Assistant
- ICML 2025Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning
- ICML 2025Learning to (Learn at Test Time): RNNs with Expressive Hidden States
- ICML 2025LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
- ICML 2025M+: Extending MemoryLLM with Scalable Long-Term Memory
- ICML 2025Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
- ICML 2025MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
- ICML 2025MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections
- ICML 2025On Path to Multimodal Generalist: General-Level and General-Bench
- ICML 2025Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads
- ICML 2025Peri-LN: Revisiting Normalization Layer in the Transformer Architecture
- ICML 2025Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models
- ICML 2025Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models
- ICML 2025Primitive Vision: Improving Diagram Understanding in MLLMs
- ICML 2025QMamba: On First Exploration of Vision Mamba for Image Quality Assessment
- ICML 2025Reasoning Limitations of Multimodal Large Language Models. A case study of Bongard Problems
- ICML 2025Rethinking the Bias of Foundation Model under Long-tailed Distribution
- ICML 2025Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection
- ICML 2025Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
- ICML 2025SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
- ICML 2025Sundial: A Family of Highly Capable Time Series Foundation Models
- ICML 2025TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
- ICML 2025The Double-Ellipsoid Geometry of CLIP
- ICML 2025The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering
- ICML 2025Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
- ICML 2025Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration
- ICML 2025Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
- ICML 2025What Has a Foundation Model Found? Inductive Bias Reveals World Models
- ICML 2025What If We Recaption Billions of Web Images with LLaMA-3?
- ICML 2025Whitened CLIP as a Likelihood Surrogate of Images and Captions
- ICML 2025WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
- NeurIPS 2025An Investigation of Memorization Risk in Healthcare Foundation Models
- NeurIPS 2025Axial Neural Networks for Dimension-Free Foundation Models
- NeurIPS 2025BlockScan: Detecting Anomalies in Blockchain Transactions
- NeurIPS 2025ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data
- NeurIPS 2025CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding
- NeurIPS 2025Demystifying Network Foundation Models
- NeurIPS 2025EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network
- NeurIPS 2025Fourier Analysis Network
- NeurIPS 2025Investigating Hallucinations of Time Series Foundation Models through Signal Subspace Analysis
- NeurIPS 2025JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model
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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.
More in Deep Learning
- Diffusion Models 6,900
- Deep learning · generative models and autoencoders 4,314
- Deep learning · large language models 2,334
- Deep learning · self supervised learning 1,958
- Deep learning · graph neural networks 1,648
- Deep learning · optimization 953
- Deep learning · representation learning 802
- Deep learning · probabilistic methods 637
- Deep learning · causal inference 316
- Deep learning · transfer learning 197