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 4,314 篇，第 49 / 87 页
- CVPR 2024MMM: Generative Masked Motion Model
- CVPR 2024Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera
- CVPR 2024MoMask: Generative Masked Modeling of 3D Human Motions
- CVPR 2024Mosaic-SDF for 3D Generative Models
- CVPR 2024NeRFiller: Completing Scenes via Generative 3D Inpainting
- CVPR 2024Neural Implicit Morphing of Face Images
- CVPR 2024OmniViD: A Generative Framework for Universal Video Understanding
- CVPR 2024On Exact Inversion of DPM-Solvers
- CVPR 2024Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory
- CVPR 2024OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
- CVPR 2024Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata
- CVPR 2024Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models
- CVPR 2024PEGASUS: Personalized Generative 3D Avatars with Composable Attributes
- CVPR 2024PFStorer: Personalized Face Restoration and Super-Resolution
- CVPR 2024PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
- CVPR 2024PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding
- CVPR 2024Purified and Unified Steganographic Network
- CVPR 2024Relation Rectification in Diffusion Model
- CVPR 2024Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection
- CVPR 2024SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
- CVPR 2024SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
- CVPR 2024Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now
- CVPR 2024ShapeWalk: Compositional Shape Editing Through Language-Guided Chains
- CVPR 2024Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance
- CVPR 2024Tactile-Augmented Radiance Fields
- CVPR 2024Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles
- CVPR 2024Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
- CVPR 2024UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and Unfavorable Sets
- CVPR 2024Unsupervised Keypoints from Pretrained Diffusion Models
- CVPR 2024VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models
- CVPR 2024VBench: Comprehensive Benchmark Suite for Video Generative Models
- CVPR 2024VideoMAC: Video Masked Autoencoders Meet ConvNets
- CVPR 2024Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning
- CVPR 2024Wired Perspectives: Multi-View Wire Art Embraces Generative AI
- CVPR 2024Would Deep Generative Models Amplify Bias in Future Models?
- CVPR 2024XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
- ICLR 2024$\alpha$TC-VAE: On the relationship between Disentanglement and Diversity
- ICLR 2024$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
- ICLR 2024$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
- ICLR 2024A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality
- ICLR 2024A Simple and Scalable Representation for Graph Generation
- ICLR 2024A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
- ICLR 2024A Variational Perspective on Solving Inverse Problems with Diffusion Models
- ICLR 2024AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
- ICLR 2024AlpaGasus: Training a Better Alpaca with Fewer Data
- ICLR 2024Amortizing intractable inference in large language models
- ICLR 2024Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity
- ICLR 2024Analyzing and Improving Optimal-Transport-based Adversarial Networks
- ICLR 2024Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations
- ICLR 2024Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
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。