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 60 / 87 页

  1. NeurIPS 2024Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes
  2. NeurIPS 2024MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling
  3. NeurIPS 2024Molecule Design by Latent Prompt Transformer
  4. NeurIPS 2024MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
  5. NeurIPS 2024MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders
  6. NeurIPS 2024MotionCraft: Physics-Based Zero-Shot Video Generation
  7. NeurIPS 2024MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training
  8. NeurIPS 2024Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
  9. NeurIPS 2024Multistep Distillation of Diffusion Models via Moment Matching
  10. NeurIPS 2024MVGamba: Unify 3D Content Generation as State Space Sequence Modeling
  11. NeurIPS 2024MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing
  12. NeurIPS 2024MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views
  13. NeurIPS 2024Nature-Inspired Local Propagation
  14. NeurIPS 2024Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model
  15. NeurIPS 2024Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
  16. NeurIPS 2024Neural Cover Selection for Image Steganography
  17. NeurIPS 2024Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
  18. NeurIPS 2024Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses
  19. NeurIPS 2024OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation
  20. NeurIPS 2024On Divergence Measures for Training GFlowNets
  21. NeurIPS 2024On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
  22. NeurIPS 2024On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
  23. NeurIPS 2024On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)
  24. NeurIPS 2024On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries
  25. NeurIPS 2024On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution
  26. NeurIPS 2024On the Noise Robustness of In-Context Learning for Text Generation
  27. NeurIPS 2024One-Shot Safety Alignment for Large Language Models via Optimal Dualization
  28. NeurIPS 2024Optimal Flow Matching: Learning Straight Trajectories in Just One Step
  29. NeurIPS 2024Optimal Multiclass U-Calibration Error and Beyond
  30. NeurIPS 2024Order-Independence Without Fine Tuning
  31. NeurIPS 2024PaCE: Parsimonious Concept Engineering for Large Language Models
  32. NeurIPS 2024PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
  33. NeurIPS 2024Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent
  34. NeurIPS 2024Parametric model reduction of mean-field and stochastic systems via higher-order action matching
  35. NeurIPS 2024Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
  36. NeurIPS 2024PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision
  37. NeurIPS 2024PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
  38. NeurIPS 2024PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation
  39. NeurIPS 2024Pessimistic Backward Policy for GFlowNets
  40. NeurIPS 2024Phased Consistency Models
  41. NeurIPS 2024PhoCoLens: Photorealistic and Consistent Reconstruction in Lensless Imaging
  42. NeurIPS 2024Piecewise deterministic generative models
  43. NeurIPS 2024Poisson Variational Autoencoder
  44. NeurIPS 2024Polyhedral Complex Derivation from Piecewise Trilinear Networks
  45. NeurIPS 2024Practical Shuffle Coding
  46. NeurIPS 2024Pricing and Competition for Generative AI
  47. NeurIPS 2024ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing
  48. NeurIPS 2024Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation
  49. NeurIPS 2024Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
  50. NeurIPS 2024Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction

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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