深度学习 · foundation models论文趋势 2023–2026
ICML/NeurIPS 深度学习方向：foundation_models
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 536 篇被归入该主题的论文。
主要结论
- 深度学习 · foundation models论文从 2023 年的 72 篇增长到 2026 年的 177 篇，三年间扩大到约 2.5 倍。
- NeurIPS 是发深度学习 · foundation models论文最多的会议，2023–2026 年共 299 篇，占四个会议总量的 56%。
- 交叉方向里涨得最快的是基础模型适配：同时属于两个主题的论文从 2023 年的 7 篇增至 2026 年的 66 篇。
- 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 8；同组增长最快的扩散模型是 4.1 倍，深度学习 · foundation models是 2.5 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 65 | 0 | 7 | 0 | 72 |
| 2024 | 192 | 0 | 11 | 6 | 209 |
| 2025 | 15 | 6 | 53 | 4 | 78 |
| 2026 | 27 | 8 | 135 | 7 | 177 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- 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
全部深度学习 · foundation models论文
共 536 篇，第 4 / 11 页
- 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
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查深度学习 · foundation models在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "dl-foundation-models"}
常见问题
- 2023–2026 年四大会议一共有多少篇深度学习 · foundation models论文？
- 共 536 篇，按年份分别是 2023 年 72 篇、2024 年 209 篇、2025 年 78 篇、2026 年 177 篇。
- NeurIPS 2026 有多少篇深度学习 · foundation models论文？
- NeurIPS 2026 有 27 篇深度学习 · foundation models论文，上一届是 15 篇。
- ICLR 2026 有多少篇深度学习 · foundation models论文？
- ICLR 2026 有 8 篇深度学习 · foundation models论文，上一届是 6 篇。
- ICML 2026 有多少篇深度学习 · foundation models论文？
- ICML 2026 有 135 篇深度学习 · foundation models论文，上一届是 53 篇。
- CVPR 2026 有多少篇深度学习 · foundation models论文？
- CVPR 2026 有 7 篇深度学习 · foundation models论文，上一届是 4 篇。
- 哪个会议的深度学习 · foundation models论文最多？
- NeurIPS，2023–2026 年共 299 篇。
「深度学习」下的其他主题
- 扩散模型 6,900
- 深度学习 · generative models and autoencoders 4,314
- 深度学习 · large language models 2,334
- 深度学习 · self supervised learning 1,958
- 深度学习 · graph neural networks 1,648
- 深度学习 · optimization 953
- 深度学习 · representation learning 802
- 深度学习 · probabilistic methods 637
- 深度学习 · causal inference 316
- 深度学习 · transfer learning 197