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 2 of 2

51. ICML 2025Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
52. ICML 2025SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
53. ICML 2025Sundial: A Family of Highly Capable Time Series Foundation Models
54. ICML 2025TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
55. ICML 2025The Double-Ellipsoid Geometry of CLIP
56. ICML 2025The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering
57. ICML 2025Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
58. ICML 2025Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration
59. ICML 2025Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
60. ICML 2025What Has a Foundation Model Found? Inductive Bias Reveals World Models
61. ICML 2025What If We Recaption Billions of Web Images with LLaMA-3?
62. ICML 2025Whitened CLIP as a Likelihood Surrogate of Images and Captions
63. ICML 2025WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
64. NeurIPS 2025An Investigation of Memorization Risk in Healthcare Foundation Models
65. NeurIPS 2025Axial Neural Networks for Dimension-Free Foundation Models
66. NeurIPS 2025BlockScan: Detecting Anomalies in Blockchain Transactions
67. NeurIPS 2025ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data
68. NeurIPS 2025CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding
69. NeurIPS 2025Demystifying Network Foundation Models
70. NeurIPS 2025EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network
71. NeurIPS 2025Fourier Analysis Network
72. NeurIPS 2025Investigating Hallucinations of Time Series Foundation Models through Signal Subspace Analysis
73. NeurIPS 2025JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model
74. NeurIPS 2025Learning to Factorize Spatio-Temporal Foundation Models
75. NeurIPS 2025Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning
76. NeurIPS 2025Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models
77. NeurIPS 2025NeurIPT: Foundation Model for Neural Interfaces
78. NeurIPS 2025UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces

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.