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 65 篇，第 2 / 2 页
- NeurIPS 2023Semantic HELM: A Human-Readable Memory for Reinforcement Learning
- NeurIPS 2023Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models
- NeurIPS 2023SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
- NeurIPS 2023STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
- NeurIPS 2023Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
- NeurIPS 2023The Learnability of In-Context Learning
- NeurIPS 2023The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit
- NeurIPS 2023Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification
- NeurIPS 2023Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning
- NeurIPS 2023Towards Label-free Scene Understanding by Vision Foundation Models
- NeurIPS 2023Unbiased learning of deep generative models with structured discrete representations
- NeurIPS 2023VanillaNet: the Power of Minimalism in Deep Learning
- NeurIPS 2023What Do Deep Saliency Models Learn about Visual Attention?
- NeurIPS 2023Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
- NeurIPS 2023Your representations are in the network: composable and parallel adaptation for large scale models
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