深度学习 · generative models and autoencoders论文趋势 2023–2026

ICML/NeurIPS 深度学习方向：generative_models_and_autoencoders

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 4,314 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 · generative models and autoencoders论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202377678286761,216
2024349174139106768
2025240275275110900
20263493036041741,430

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 · generative models and autoencoders论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 900 篇，第 5 / 18 页

  1. ICLR 2025Flow matching achieves almost minimax optimal convergence
  2. ICLR 2025Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens
  3. ICLR 2025Forte : Finding Outliers with Representation Typicality Estimation
  4. ICLR 2025Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models
  5. ICLR 2025From Search to Sampling: Generative Models for Robust Algorithmic Recourse
  6. ICLR 2025Fugatto 1: Foundational Generative Audio Transformer Opus 1
  7. ICLR 2025GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment
  8. ICLR 2025Generalization and Distributed Learning of GFlowNets
  9. ICLR 2025Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
  10. ICLR 2025Generalization through variance: how noise shapes inductive biases in diffusion models
  11. ICLR 2025Generating Graphs via Spectral Diffusion
  12. ICLR 2025Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
  13. ICLR 2025Generative Classifiers Avoid Shortcut Solutions
  14. ICLR 2025Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
  15. ICLR 2025Generative Monoculture in Large Language Models
  16. ICLR 2025Generative Representational Instruction Tuning
  17. ICLR 2025Generative Verifiers: Reward Modeling as Next-Token Prediction
  18. ICLR 2025Generator Matching: Generative modeling with arbitrary Markov processes
  19. ICLR 2025GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling
  20. ICLR 2025GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs
  21. ICLR 2025GenXD: Generating Any 3D and 4D Scenes
  22. ICLR 2025Geometry of Lightning Self-Attention: Identifiability and Dimension
  23. ICLR 2025Glauber Generative Model: Discrete Diffusion Models via Binary Classification
  24. ICLR 2025Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates
  25. ICLR 2025GMValuator: Similarity-based Data Valuation for Generative Models
  26. ICLR 2025GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
  27. ICLR 2025GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models
  28. ICLR 2025GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision
  29. ICLR 2025GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinement
  30. ICLR 2025HaDeMiF: Hallucination Detection and Mitigation in Large Language Models
  31. ICLR 2025Halton Scheduler for Masked Generative Image Transformer
  32. ICLR 2025HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models
  33. ICLR 2025Heavy-Tailed Diffusion Models
  34. ICLR 2025Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models
  35. ICLR 2025HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment
  36. ICLR 2025HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining
  37. ICLR 2025Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models
  38. ICLR 2025High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders
  39. ICLR 2025High-Quality Joint Image and Video Tokenization with Causal VAE
  40. ICLR 2025High-quality Text-to-3D Character Generation with SparseCubes and Sparse Transformers.
  41. ICLR 2025Holistically Evaluating the Environmental Impact of Creating Language Models
  42. ICLR 2025How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
  43. ICLR 2025How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
  44. ICLR 2025Hybrid Regularization Improves Diffusion-based Inverse Problem Solving
  45. ICLR 2025IgGM: A Generative Model for Functional Antibody and Nanobody Design
  46. ICLR 2025Improved Convergence Rate for Diffusion Probabilistic Models
  47. ICLR 2025Improved Diffusion-based Generative Model with Better Adversarial Robustness
  48. ICLR 2025Improved Training Technique for Latent Consistency Models
  49. ICLR 2025Improving Equivariant Networks with Probabilistic Symmetry Breaking
  50. ICLR 2025Improving Neural Optimal Transport via Displacement Interpolation

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 · generative models and autoencoders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-generative-models-and-autoencoders"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇深度学习 · generative models and autoencoders论文？
共 4,314 篇，按年份分别是 2023 年 1,216 篇、2024 年 768 篇、2025 年 900 篇、2026 年 1,430 篇。
NeurIPS 2026 有多少篇深度学习 · generative models and autoencoders论文？
NeurIPS 2026 有 349 篇深度学习 · generative models and autoencoders论文，上一届是 240 篇。
ICLR 2026 有多少篇深度学习 · generative models and autoencoders论文？
ICLR 2026 有 303 篇深度学习 · generative models and autoencoders论文，上一届是 275 篇。
ICML 2026 有多少篇深度学习 · generative models and autoencoders论文？
ICML 2026 有 604 篇深度学习 · generative models and autoencoders论文，上一届是 275 篇。
CVPR 2026 有多少篇深度学习 · generative models and autoencoders论文？
CVPR 2026 有 174 篇深度学习 · generative models and autoencoders论文，上一届是 110 篇。
哪个会议的深度学习 · generative models and autoencoders论文最多？
NeurIPS，2023–2026 年共 1,714 篇。

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