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 4,314 篇，第 2 / 87 页

51. CVPR 2026From Inpainting to Layer Decomposition Repurposing Generative Inpainting Models for
52. CVPR 2026From Measurement to Mitigation Quantifying and Reducing Identity Leakage in
53. CVPR 2026Functional Mean Flow in Hilbert Space
54. CVPR 2026GauMVC Generative Decoupled Gaussian Representation for Human-centric Multi-view Video Compression
55. CVPR 2026GaussianZoom Progressive Zoom-in Generative 3D Gaussian Splatting with Geometric and
56. CVPR 2026Generating Humanless Environment Walkthroughs from Egocentric Walking Tour Videos
57. CVPR 2026Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting
58. CVPR 2026Generative Diffusion Priors for 3D Mapping of the Dark Universe
59. CVPR 2026Generative Modeling of Weights Generalization or Memorization
60. CVPR 2026Generative Neural Video Compression via Video Diffusion Prior
61. CVPR 2026Generative Point Tracking and Forecasting
62. CVPR 2026Generative Video Compression with One-Dimensional Latent Representation
63. CVPR 2026Generative Video Motion Editing with 3D Point Tracks
64. CVPR 2026GenMatter Perceiving Physical Objects with Generative Matter Models
65. CVPR 2026GenTract Generative Global Tractography
66. CVPR 2026GGBench A Geometric Generative Reasoning Benchmark for Unified Multimodal Models
67. CVPR 2026GIFSplat Generative Prior-Guided Iterative Feed-Forward 3D Gaussian Splatting from Sparse
68. CVPR 2026Globally Optimal Pose from Orthographic Silhouettes
69. CVPR 2026GM-R2 Generative Matching Learning for Unsupervised Geometric Representation and Registration
70. CVPR 2026gQIR Generative Quanta Image Reconstruction
71. CVPR 2026Grid Distillation Compositional Image Distillation via Structured Generative Grids
72. CVPR 2026GT-SVJ Generative-Transformer-Based Self-Supervised Video Judge For Efficient Video Reward Modeling
73. CVPR 2026Guardians of the Hair Rescuing Soft Boundaries in Depth Stereo
74. CVPR 2026Guiding a Diffusion Transformer with the Internal Dynamics of Itself
75. CVPR 2026GVIS Generative Vector Image Steganography
76. CVPR 2026Heterogeneous Decentralized Diffusion Models
77. CVPR 2026HiDRA Hierarchical Degradation Representation and Adaptation with Generative Priors for
78. CVPR 2026HierAmp Coarse-to-Fine Autoregressive Amplification for Generative Dataset Distillation
79. CVPR 2026High-Fidelity Diffusion Face Swapping with ID-Constrained Facial Conditioning
80. CVPR 2026High-Fidelity Virtual Try-On beyond Paired Data Scarcity via Diffusion-based Cycle-Consistent
81. CVPR 2026High-Precision Dichotomous Image Segmentation via Depth Integrity-Prior and Fine-Grained Patch
82. CVPR 2026How to Take a Memorable Picture Empowering Users with Actionable
83. CVPR 2026Humanoid Generative Pre-Training for Zero-Shot Motion Tracking
84. CVPR 2026HySeg Learning Generative Priors for Structure-Aware Remote Sensing Segmentation
85. CVPR 2026IF-Bench Benchmarking and Enhancing MLLMs for Infrared Images with Generative
86. CVPR 2026Improved Mean Flows On the Challenges of Fastforward Generative Models
87. CVPR 2026Improving Sparse Autoencoder with Dynamic Attention
88. CVPR 2026Incentivizing Generative Zero-Shot Learning via Outcome-Reward Reinforcement Learning with Visual
89. CVPR 2026IncreFA Breaking the Static Wall of Generative Model Attribution
90. CVPR 2026Interpretable and Steerable Concept Bottleneck Sparse Autoencoders
91. CVPR 2026InterPrior Scaling Generative Control for Physics-Based Human-Object Interactions
92. CVPR 2026Intra-class Distribution-guided Generative Hashing with Neighbor Refinement for Cross-modal Retrieval
93. CVPR 2026IR-HGP Physically-Aware Gaussian Inverse Rendering for High-Illumination Scenes via Generative
94. CVPR 2026IrisFP Adversarial-Example-based Model Fingerprinting with Enhanced Uniqueness and Robustness
95. CVPR 2026Lafite A Generative Latent Field for 3D Native Texturing
96. CVPR 2026Language-Free Generative Editing from One Visual Example
97. CVPR 2026LaVR Scene Latent Conditioned Generative Video Trajectory Re-Rendering using Large
98. CVPR 2026Learning Coordinate-based Convolutional Kernels for Continuous SE3 Equivariant and Efficient
99. CVPR 2026Learning Latent Transmission and Glare Maps for Lens Veiling Glare
100. CVPR 2026LightMover Generative Light Movement with Color and Intensity Controls

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。