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

每年论文数

各会议论文数

按年份和会议统计

深度学习 · foundation models论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20236507072
20241920116209
202515653478
20262781357177

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

全部深度学习 · foundation models论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 65 篇，第 1 / 2 页

  1. NeurIPS 20234M: Massively Multimodal Masked Modeling
  2. NeurIPS 2023A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints
  3. NeurIPS 2023ADGym: Design Choices for Deep Anomaly Detection
  4. NeurIPS 2023Agnostically Learning Single-Index Models using Omnipredictors
  5. NeurIPS 2023An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions
  6. NeurIPS 2023BayesTune: Bayesian Sparse Deep Model Fine-tuning
  7. NeurIPS 2023Beyond Confidence: Reliable Models Should Also Consider Atypicality
  8. NeurIPS 2023BiMatting: Efficient Video Matting via Binarization
  9. NeurIPS 2023Birth of a Transformer: A Memory Viewpoint
  10. NeurIPS 2023Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models
  11. NeurIPS 2023C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
  12. NeurIPS 2023CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
  13. NeurIPS 2023Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
  14. NeurIPS 2023Contextually Affinitive Neighborhood Refinery for Deep Clustering
  15. NeurIPS 2023Differentiable Random Partition Models
  16. NeurIPS 2023Distributed Inference and Fine-tuning of Large Language Models Over The Internet
  17. NeurIPS 2023DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
  18. NeurIPS 2023Efficient Equivariant Transfer Learning from Pretrained Models
  19. NeurIPS 2023EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
  20. NeurIPS 2023Energy Transformer
  21. NeurIPS 2023Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance
  22. NeurIPS 2023Evaluating Neuron Interpretation Methods of NLP Models
  23. NeurIPS 2023Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction
  24. NeurIPS 2023Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models
  25. NeurIPS 2023Foundation Model is Efficient Multimodal Multitask Model Selector
  26. NeurIPS 2023FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
  27. NeurIPS 2023Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
  28. NeurIPS 2023Generating QM1B with PySCF$_{\text{IPU}}$
  29. NeurIPS 2023GEO-Bench: Toward Foundation Models for Earth Monitoring
  30. NeurIPS 2023Geometry-Aware Adaptation for Pretrained Models
  31. NeurIPS 2023Global Optimality in Bivariate Gradient-based DAG Learning
  32. NeurIPS 2023Grassmann Manifold Flows for Stable Shape Generation
  33. NeurIPS 2023Guiding The Last Layer in Federated Learning with Pre-Trained Models
  34. NeurIPS 2023Large Language Models can Implement Policy Iteration
  35. NeurIPS 2023Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition
  36. NeurIPS 2023Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
  37. NeurIPS 2023LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition
  38. NeurIPS 2023Module-wise Adaptive Distillation for Multimodality Foundation Models
  39. NeurIPS 2023Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine
  40. NeurIPS 2023Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes
  41. NeurIPS 2023On Learning Latent Models with Multi-Instance Weak Supervision
  42. NeurIPS 2023Paxion: Patching Action Knowledge in Video-Language Foundation Models
  43. NeurIPS 2023Quantification of Uncertainty with Adversarial Models
  44. NeurIPS 2023RADAR: Robust AI-Text Detection via Adversarial Learning
  45. NeurIPS 2023RanPAC: Random Projections and Pre-trained Models for Continual Learning
  46. NeurIPS 2023Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests
  47. NeurIPS 2023Rethinking Gauss-Newton for learning over-parameterized models
  48. NeurIPS 2023Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models
  49. NeurIPS 2023Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
  50. NeurIPS 2023Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models

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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"}

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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。

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