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 4,314 篇，第 58 / 87 页

  1. NeurIPS 2024Exploring DCN-like architecture for fast image generation with arbitrary resolution
  2. NeurIPS 2024Extending Video Masked Autoencoders to 128 frames
  3. NeurIPS 2024FactorSim: Generative Simulation via Factorized Representation
  4. NeurIPS 2024Fast Best-of-N Decoding via Speculative Rejection
  5. NeurIPS 2024Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
  6. NeurIPS 2024Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
  7. NeurIPS 2024FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
  8. NeurIPS 2024Few-Shot Diffusion Models Escape the Curse of Dimensionality
  9. NeurIPS 2024Few-Shot Task Learning through Inverse Generative Modeling
  10. NeurIPS 2024FINALLY: fast and universal speech enhancement with studio-like quality
  11. NeurIPS 2024Fine-grained Control of Generative Data Augmentation in IoT Sensing
  12. NeurIPS 2024FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models
  13. NeurIPS 2024Fisher Flow Matching for Generative Modeling over Discrete Data
  14. NeurIPS 2024Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
  15. NeurIPS 2024FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions
  16. NeurIPS 2024FouRA: Fourier Low-Rank Adaptation
  17. NeurIPS 2024FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention
  18. NeurIPS 2024Frequency-aware Generative Models for Multivariate Time Series Imputation
  19. NeurIPS 2024GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling
  20. NeurIPS 2024GAVEL: Generating Games via Evolution and Language Models
  21. NeurIPS 2024GenAI Arena: An Open Evaluation Platform for Generative Models
  22. NeurIPS 2024GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing
  23. NeurIPS 2024Generalized Eigenvalue Problems with Generative Priors
  24. NeurIPS 2024Generating Highly Designable Proteins with Geometric Algebra Flow Matching
  25. NeurIPS 2024Generative Adversarial Model-Based Optimization via Source Critic Regularization
  26. NeurIPS 2024Generative Forests
  27. NeurIPS 2024Generative Fractional Diffusion Models
  28. NeurIPS 2024Generative Modelling of Structurally Constrained Graphs
  29. NeurIPS 2024Generative Retrieval Meets Multi-Graded Relevance
  30. NeurIPS 2024Generative Semi-supervised Graph Anomaly Detection
  31. NeurIPS 2024Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
  32. NeurIPS 2024GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping
  33. NeurIPS 2024GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation
  34. NeurIPS 2024Gorilla: Large Language Model Connected with Massive APIs
  35. NeurIPS 2024Gradient-free Decoder Inversion in Latent Diffusion Models
  36. NeurIPS 2024Graph Diffusion Policy Optimization
  37. NeurIPS 2024Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
  38. NeurIPS 2024Grounding Multimodal Large Language Models in Actions
  39. NeurIPS 2024Group Robust Preference Optimization in Reward-free RLHF
  40. NeurIPS 2024GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
  41. NeurIPS 2024GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
  42. NeurIPS 2024GuardT2I: Defending Text-to-Image Models from Adversarial Prompts
  43. NeurIPS 2024Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
  44. NeurIPS 2024HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
  45. NeurIPS 2024Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation
  46. NeurIPS 2024Hamiltonian Score Matching and Generative Flows
  47. NeurIPS 2024Harmonizing Visual Text Comprehension and Generation
  48. NeurIPS 2024HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation
  49. NeurIPS 2024HonestLLM: Toward an Honest and Helpful Large Language Model
  50. NeurIPS 2024How Diffusion Models Learn to Factorize and Compose

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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