深度学习 · generative models and autoencoders论文趋势 2023–2026

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。

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 106 篇，第 2 / 3 页

51. CVPR 2024Generative Quanta Color Imaging
52. CVPR 2024Generative Region-Language Pretraining for Open-Ended Object Detection
53. CVPR 2024Generative Unlearning for Any Identity
54. CVPR 2024GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos
55. CVPR 2024GenN2N: Generative NeRF2NeRF Translation
56. CVPR 2024GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
57. CVPR 2024GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors
58. CVPR 2024High-Quality Facial Geometry and Appearance Capture at Home
59. CVPR 2024Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation
60. CVPR 2024IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
61. CVPR 2024Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture
62. CVPR 2024Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models
63. CVPR 2024It's All About Your Sketch: Democratising Sketch Control in Diffusion Models
64. CVPR 2024LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection
65. CVPR 2024Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning
66. CVPR 2024Learning Large-Factor EM Image Super-Resolution with Generative Priors
67. CVPR 2024ManiFPT: Defining and Analyzing Fingerprints of Generative Models
68. CVPR 2024Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
69. CVPR 2024MaskPLAN: Masked Generative Layout Planning from Partial Input
70. CVPR 2024Mitigating Motion Blur in Neural Radiance Fields with Events and Frames
71. CVPR 2024MMM: Generative Masked Motion Model
72. CVPR 2024Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera
73. CVPR 2024MoMask: Generative Masked Modeling of 3D Human Motions
74. CVPR 2024Mosaic-SDF for 3D Generative Models
75. CVPR 2024NeRFiller: Completing Scenes via Generative 3D Inpainting
76. CVPR 2024Neural Implicit Morphing of Face Images
77. CVPR 2024OmniViD: A Generative Framework for Universal Video Understanding
78. CVPR 2024On Exact Inversion of DPM-Solvers
79. CVPR 2024Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory
80. CVPR 2024OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
81. CVPR 2024Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata
82. CVPR 2024Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models
83. CVPR 2024PEGASUS: Personalized Generative 3D Avatars with Composable Attributes
84. CVPR 2024PFStorer: Personalized Face Restoration and Super-Resolution
85. CVPR 2024PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
86. CVPR 2024PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding
87. CVPR 2024Purified and Unified Steganographic Network
88. CVPR 2024Relation Rectification in Diffusion Model
89. CVPR 2024Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection
90. CVPR 2024SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
91. CVPR 2024SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
92. CVPR 2024Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now
93. CVPR 2024ShapeWalk: Compositional Shape Editing Through Language-Guided Chains
94. CVPR 2024Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance
95. CVPR 2024Tactile-Augmented Radiance Fields
96. CVPR 2024Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles
97. CVPR 2024Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
98. CVPR 2024UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and Unfavorable Sets
99. CVPR 2024Unsupervised Keypoints from Pretrained Diffusion Models
100. CVPR 2024VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models

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。