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 31 / 87 页
- 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
- CVPR 2025OSDFace: One-Step Diffusion Model for Face Restoration
- CVPR 2025ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions
- CVPR 2025PERSE: Personalized 3D Generative Avatars from A Single Portrait
- CVPR 2025Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories
- CVPR 2025PhysAnimator: Physics-Guided Generative Cartoon Animation
- CVPR 2025PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?
- CVPR 2025POMP: Physics-consistent Motion Generative Model through Phase Manifolds
- CVPR 2025PSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing
- CVPR 2025Revisiting Generative Replay for Class Incremental Object Detection
- CVPR 2025RICCARDO: Radar Hit Prediction and Convolution for Camera-Radar 3D Object Detection
- CVPR 2025RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins
- CVPR 2025SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model
- CVPR 2025Segment Any-Quality Images with Generative Latent Space Enhancement
- CVPR 2025SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
- CVPR 2025ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion
- CVPR 2025Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model
- CVPR 2025Symbolic Representation for Any-to-Any Generative Tasks
- CVPR 2025Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts
- CVPR 2025Tiled Diffusion
- CVPR 2025Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency
- CVPR 2025Towards Smart Point-and-Shoot Photography
- CVPR 2025Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?
- CVPR 2025Traversing Distortion-Perception Tradeoff using a Single Score-Based Generative Model
- CVPR 2025UnCommon Objects in 3D
- CVPR 2025Uni-Renderer: Unifying Rendering and Inverse Rendering Via Dual Stream Diffusion
- CVPR 2025UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming
- CVPR 2025Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach
- CVPR 2025VideoHandles: Editing 3D Object Compositions in Videos Using Video Generative Priors
- CVPR 2025VidTwin: Video VAE with Decoupled Structure and Dynamics
- CVPR 2025VinaBench: Benchmark for Faithful and Consistent Visual Narratives
- CVPR 2025VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
- CVPR 2025VLog: Video-Language Models by Generative Retrieval of Narration Vocabulary
- CVPR 2025Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
- CVPR 2025Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
- ICLR 2025A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
- ICLR 2025A Geometric Framework for Understanding Memorization in Generative Models
- ICLR 2025A Large-scale Training Paradigm for Graph Generative Models
- ICLR 2025A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
- ICLR 2025A Watermark for Order-Agnostic Language Models
- ICLR 2025Accelerating neural network training: An analysis of the AlgoPerf competition
- ICLR 2025Adaptive teachers for amortized samplers
- ICLR 2025Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
- ICLR 2025Adversarial Generative Flow Network for Solving Vehicle Routing Problems
- ICLR 2025Adversarial Mixup Unlearning
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。