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 7 / 10 页
- CVPR 2024DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection
- CVPR 2024DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
- CVPR 2024DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis
- CVPR 2024Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D
- CVPR 2024Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation
- CVPR 2024Distilling ODE Solvers of Diffusion Models into Smaller Steps
- CVPR 2024Distributionally Generative Augmentation for Fair Facial Attribute Classification
- CVPR 2024DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data
- CVPR 2024Domain Gap Embeddings for Generative Dataset Augmentation
- CVPR 2024Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion
- CVPR 2024DreamVideo: Composing Your Dream Videos with Customized Subject and Motion
- CVPR 2024EASE-DETR: Easing the Competition among Object Queries
- CVPR 2024En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data
- CVPR 2024EscherNet: A Generative Model for Scalable View Synthesis
- CVPR 2024F3Loc: Fusion and Filtering for Floorplan Localization
- CVPR 2024FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
- CVPR 2024Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction
- CVPR 2024FAR: Flexible Accurate and Robust 6DoF Relative Camera Pose Estimation
- CVPR 2024FC-GNN: Recovering Reliable and Accurate Correspondences from Interferences
- CVPR 2024Fixed Point Diffusion Models
- CVPR 2024FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
- CVPR 2024FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders
- CVPR 2024FREE: Faster and Better Data-Free Meta-Learning
- CVPR 2024From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration
- CVPR 2024Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing
- CVPR 2024Functional Diffusion
- CVPR 2024G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis
- CVPR 2024G3DR: Generative 3D Reconstruction in ImageNet
- CVPR 2024Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing
- CVPR 2024Generative Image Dynamics
- CVPR 2024Generative Latent Coding for Ultra-Low Bitrate Image Compression
- CVPR 2024Generative Multi-modal Models are Good Class Incremental Learners
- CVPR 2024Generative Multimodal Models are In-Context Learners
- CVPR 2024Generative Powers of Ten
- CVPR 2024Generative Quanta Color Imaging
- CVPR 2024Generative Region-Language Pretraining for Open-Ended Object Detection
- CVPR 2024Generative Unlearning for Any Identity
- CVPR 2024GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos
- CVPR 2024GenN2N: Generative NeRF2NeRF Translation
- CVPR 2024GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
- CVPR 2024GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors
- CVPR 2024High-Quality Facial Geometry and Appearance Capture at Home
- CVPR 2024Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation
- CVPR 2024IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
- CVPR 2024Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture
- CVPR 2024Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models
- CVPR 2024It's All About Your Sketch: Democratising Sketch Control in Diffusion Models
- CVPR 2024LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection
- CVPR 2024Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning
- CVPR 2024Learning Large-Factor EM Image Super-Resolution with Generative Priors
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。