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 7 / 11 页
- NeurIPS 2024CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
- NeurIPS 2024Cell ontology guided transcriptome foundation model
- NeurIPS 2024Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models
- NeurIPS 2024Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
- NeurIPS 2024Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers
- NeurIPS 2024CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts
- NeurIPS 2024Compressing Large Language Models using Low Rank and Low Precision Decomposition
- NeurIPS 2024CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
- NeurIPS 2024ContactField: Implicit Field Representation for Multi-Person Interaction Geometry
- NeurIPS 2024ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence
- NeurIPS 2024CosAE: Learnable Fourier Series for Image Restoration
- NeurIPS 2024Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning
- NeurIPS 2024Coupled Mamba: Enhanced Multimodal Fusion with Coupled State Space Model
- NeurIPS 2024CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection
- NeurIPS 2024D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup
- NeurIPS 2024D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning
- NeurIPS 2024DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
- NeurIPS 2024DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations
- NeurIPS 2024Demystify Mamba in Vision: A Linear Attention Perspective
- NeurIPS 2024Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation
- NeurIPS 2024Dense Associative Memory Through the Lens of Random Features
- NeurIPS 2024DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging
- NeurIPS 2024DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism
- NeurIPS 2024Derivative-enhanced Deep Operator Network
- NeurIPS 2024DeTrack: In-model Latent Denoising Learning for Visual Object Tracking
- NeurIPS 2024DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
- NeurIPS 2024DisCEdit: Model Editing by Identifying Discriminative Components
- NeurIPS 2024Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
- NeurIPS 2024Do Multimodal Foundation Models Understand Enterprise Workflows? A Benchmark for Business Process Management Tasks
- NeurIPS 2024DOFEN: Deep Oblivious Forest ENsemble
- NeurIPS 2024ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction
- NeurIPS 2024einspace: Searching for Neural Architectures from Fundamental Operations
- NeurIPS 2024ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
- NeurIPS 2024Elliptical Attention
- NeurIPS 2024Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View
- NeurIPS 2024Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning
- NeurIPS 2024Facilitating Multimodal Classification via Dynamically Learning Modality Gap
- NeurIPS 2024FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing
- NeurIPS 2024Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
- NeurIPS 2024FilterNet: Harnessing Frequency Filters for Time Series Forecasting
- NeurIPS 2024FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models
- NeurIPS 2024Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
- NeurIPS 2024From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
- NeurIPS 2024From Similarity to Superiority: Channel Clustering for Time Series Forecasting
- NeurIPS 2024FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
- NeurIPS 2024Graph Convolutions Enrich the Self-Attention in Transformers!
- NeurIPS 2024Group and Shuffle: Efficient Structured Orthogonal Parametrization
- NeurIPS 2024How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers
- NeurIPS 2024Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers
- NeurIPS 2024Improving Generalization of Dynamic Graph Learning via Environment Prompt
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