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 4 of 11
- NeurIPS 2026A low-rank decoder bottleneck bounds reliability in foundation-model perturbation prediction
- NeurIPS 2026AmbientFM: A Foundation Model for Ambient Sensing
- NeurIPS 2026CORTEG: Foundation Models Enable Cross-Modality Representation Transfer from Scalp to Intracranial Brain Recordings
- NeurIPS 2026DEFT: Disentanglement-Enhanced Fine-Tuning for EEG Foundation Models
- NeurIPS 2026Do Pathology Foundation Models Encode Disease Progression? A Pseudotime Analysis of Visual Representations
- NeurIPS 2026Embedding Foundation Model Predictions in Discrete-Choice Models with Structural Guarantees
- NeurIPS 2026Evaluating Uncertainty Calibration in Probabilistic Time Series Foundation Models
- NeurIPS 2026Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons
- NeurIPS 2026FoldAbS: Repurposing the Protein Folding Model as a Foundation Encoder for Antibody Screening
- NeurIPS 2026Glob3R: Global Structure-from-Motion with 3D Foundation Models
- NeurIPS 2026GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring
- NeurIPS 2026HandXFM: Semantic-Structural Distillation for Hand Radiograph Foundation Models
- NeurIPS 2026Inertia-1: An Open Exploration of Wearable Motion Foundation Models
- NeurIPS 2026Inferotemporal Cortex Collaborates Before It Codes: Non-Serial Inter-Area Synergy in the Macaque Ventral Stream
- NeurIPS 2026Latent Riemannian Flow Matching for Geometry-Grounded 3D Foundation Models
- NeurIPS 2026Multimodal Foundation Agents Should Use Brain Data as Privileged Supervision
- NeurIPS 2026NeuroNTP - A Generalizable Multimodal Foundation Model for Epilepsy
- NeurIPS 2026No One Knows the State-of-the-Art in Geospatial Foundation Models
- NeurIPS 2026OpenMHC: Accelerating the Science of Wearable Foundation Models
- NeurIPS 2026Position: The Road to Generalizable Neuro-Symbolic Learning Should be Paved with Foundation Models
- NeurIPS 2026ProMo3D: Probing Motion Cues in Frozen 3D Foundation Models
- NeurIPS 2026SapiensID 2.0: Aligning Human Recognition Foundation Models with Human Perception
- NeurIPS 2026Tabular Foundation Model for Generative Modelling
- NeurIPS 2026Vibe-Spike: An Energy-Preserving EEG Foundation Model Through the Landscape of Neural Coherence
- NeurIPS 2026What DNA Foundation Models Learn Beyond Sequence Composition
- NeurIPS 2026What do EEG Foundation Models Capture from Human Brain Signals?
- NeurIPS 2026When to Trust a PFN: Detecting Harmful Shift in Tabular Foundation Models
- CVPR 2025AIpparel: A Multimodal Foundation Model for Digital Garments
- CVPR 2025DEFOM-Stereo: Depth Foundation Model Based Stereo Matching
- CVPR 2025SapiensID: Foundation for Human Recognition
- CVPR 2025SketchFusion: Learning Universal Sketch Features through Fusing Foundation Models
- ICLR 2025Hyper-Connections
- ICLR 2025MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods
- ICLR 2025Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
- ICLR 2025Revisiting Convolution Architecture in the Realm of DNA Foundation Models
- ICLR 2025RRM: Robust Reward Model Training Mitigates Reward Hacking
- ICLR 2025Towards Foundation Models for Mixed Integer Linear Programming
- ICML 2025Are Large Brainwave Foundation Models Capable Yet ? Insights from Fine-Tuning
- ICML 2025BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing
- ICML 2025Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
- ICML 2025Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions
- ICML 2025Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
- ICML 2025Contextures: Representations from Contexts
- ICML 2025Contrastive Localized Language-Image Pre-Training
- ICML 2025Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development
- ICML 2025Diffusion Instruction Tuning
- ICML 2025ExLM: Rethinking the Impact of $\texttt{[MASK]}$ Tokens in Masked Language Models
- ICML 2025Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts
- ICML 2025Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
- ICML 2025FG-CLIP: Fine-Grained Visual and Textual Alignment
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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
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- Deep learning · optimization 953
- Deep learning · representation learning 802
- Deep learning · probabilistic methods 637
- Deep learning · causal inference 316
- Deep learning · transfer learning 197