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
- 深度学习 · generative models and autoencoders论文从 2023 年的 1,216 篇增长到 2026 年的 1,430 篇，三年间扩大到约 1.2 倍。
- NeurIPS 是发深度学习 · generative models and autoencoders论文最多的会议，2023–2026 年共 1,714 篇，占四个会议总量的 40%。
- 交叉方向里涨得最快的是图像生成：同时属于两个主题的论文从 2023 年的 35 篇增至 2026 年的 150 篇。
- 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 2；同组增长最快的扩散模型是 4.1 倍，深度学习 · generative models and autoencoders是 1.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 776 | 78 | 286 | 76 | 1,216 |
| 2024 | 349 | 174 | 139 | 106 | 768 |
| 2025 | 240 | 275 | 275 | 110 | 900 |
| 2026 | 349 | 303 | 604 | 174 | 1,430 |
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
- NeurIPS 2026A Critical $\beta$-Scale for Posterior Collapse in Dirichlet $\beta$-VAEs
- ICML 2026(1D) Ordered Tokens Enable Efficient Test-Time Search
- ICLR 2026``Noisier'’ Noise Contrastive Estimation is (Almost) Maximum Likelihood
- CVPR 2026Anchoring and Rescaling Attention for Semantically Coherent Inbetweening
- NeurIPS 2025Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness
- ICML 2025A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
- ICLR 2025A Watermark for Order-Agnostic Language Models
- CVPR 2025DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
- NeurIPS 2024[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks
- ICML 2024A Fixed-Point Approach for Causal Generative Modeling
- ICLR 2024$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
- CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
- NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
- ICML 2023A Kernelized Stein Discrepancy for Biological Sequences
- ICLR 2023Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing
- CVPR 20233D GAN Inversion With Facial Symmetry Prior
- NeurIPS 2026Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization
- ICML 2026$f$-Trajectory Balance: A Loss Family for Tuning GFlowNets, Generative Models, and LLMs with Off- and On-Policy Data
- ICLR 2026Analyzing and Evaluating Unbiased Language Model Watermark
- CVPR 2026Bidirectional Normalizing Flow From Data to Noise and Back
全部深度学习 · generative models and autoencoders论文
共 466 篇，第 5 / 10 页
- CVPR 2025Empowering Vector Graphics with Consistently Arbitrary Viewing and View-dependent Visibility
- CVPR 2025EntityErasure: Erasing Entity Cleanly via Amodal Entity Segmentation and Completion
- CVPR 2025Erasing Undesirable Influence in Diffusion Models
- CVPR 2025EventPSR: Surface Normal and Reflectance Estimation from Photometric Stereo Using an Event Camera
- CVPR 2025Exploration-Driven Generative Interactive Environments
- CVPR 2025Fingerprinting Denoising Diffusion Probabilistic Models
- CVPR 2025Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion
- CVPR 2025From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization
- CVPR 2025G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation
- CVPR 2025GCC: Generative Color Constancy via Diffusing a Color Checker
- CVPR 2025GenAssets: Generating in-the-wild 3D Assets in Latent Space
- CVPR 2025Generalizable Object Keypoint Localization from Generative Priors
- CVPR 2025Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction
- CVPR 2025Generative Gaussian Splatting for Unbounded 3D City Generation
- CVPR 2025Generative Hard Example Augmentation for Semantic Point Cloud Segmentation
- CVPR 2025Generative Image Layer Decomposition with Visual Effects
- CVPR 2025Generative Inbetweening through Frame-wise Conditions-Driven Video Generation
- CVPR 2025Generative Modeling of Class Probability for Multi-Modal Representation Learning
- CVPR 2025Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens
- CVPR 2025Generative Multiview Relighting for 3D Reconstruction under Extreme Illumination Variation
- CVPR 2025Generative Omnimatte: Learning to Decompose Video into Layers
- CVPR 2025Generative Photography: Scene-Consistent Camera Control for Realistic Text-to-Image Synthesis
- CVPR 2025Generative Photomontage
- CVPR 2025Generative Sparse-View Gaussian Splatting
- CVPR 2025Generative Video Propagation
- CVPR 2025GENIUS: A Generative Framework for Universal Multimodal Search
- CVPR 2025GenPC: Zero-shot Point Cloud Completion via 3D Generative Priors
- CVPR 2025GIF: Generative Inspiration for Face Recognition at Scale
- CVPR 2025Goku: Flow Based Video Generative Foundation Models
- CVPR 2025Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion
- CVPR 2025GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning
- CVPR 2025HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories
- CVPR 2025IceDiff: High Resolution and High-Quality Arctic Sea Ice Forecasting with Generative Diffusion Prior
- CVPR 2025IDEA-Bench: How Far are Generative Models from Professional Designing?
- CVPR 2025Interpretable Generative Models through Post-hoc Concept Bottlenecks
- CVPR 2025K-LoRA: Unlocking Training-Free Fusion of Any Subject and Style LoRAs
- CVPR 2025K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
- CVPR 2025Learning Visual Generative Priors without Text
- CVPR 2025LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping
- CVPR 2025LT3SD: Latent Trees for 3D Scene Diffusion
- CVPR 2025LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relighting
- CVPR 2025MARBLE: Material Recomposition and Blending in CLIP-Space
- CVPR 2025MEGA: Masked Generative Autoencoder for Human Mesh Recovery
- CVPR 2025MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos
- CVPR 2025MeshGen: Generating PBR Textured Mesh with Render-Enhanced Auto-Encoder and Generative Data Augmentation
- CVPR 2025MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error Priors
- CVPR 2025NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images
- CVPR 2025ObjectMover: Generative Object Movement with Video Prior
- CVPR 2025Octopus: Alleviating Hallucination via Dynamic Contrastive Decoding
- CVPR 2025Omni-ID: Holistic Identity Representation Designed for Generative Tasks
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"}
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。