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 76 篇，第 1 / 2 页

1. CVPR 20233D GAN Inversion With Facial Symmetry Prior
2. CVPR 2023AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders
3. CVPR 2023Analyzing and Diagnosing Pose Estimation With Attributions
4. CVPR 2023Bi-Directional Feature Fusion Generative Adversarial Network for Ultra-High Resolution Pathological Image Virtual Re-Staining
5. CVPR 2023CIRCLE: Capture in Rich Contextual Environments
6. CVPR 2023ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders
7. CVPR 2023Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models
8. CVPR 2023Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint
9. CVPR 2023Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model
10. CVPR 2023Defining and Quantifying the Emergence of Sparse Concepts in DNNs
11. CVPR 2023DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion
12. CVPR 2023Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
13. CVPR 2023DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-Aware Scene Synthesis
14. CVPR 2023DropMAE: Masked Autoencoders With Spatial-Attention Dropout for Tracking Tasks
15. CVPR 2023Dynamic Generative Targeted Attacks With Pattern Injection
16. CVPR 2023Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck
17. CVPR 2023Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces
18. CVPR 2023FaceLit: Neural 3D Relightable Faces
19. CVPR 2023FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits
20. CVPR 2023FlowGrad: Controlling the Output of Generative ODEs With Gradients
21. CVPR 2023GaitGCI: Generative Counterfactual Intervention for Gait Recognition
22. CVPR 2023GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
23. CVPR 2023GANHead: Towards Generative Animatable Neural Head Avatars
24. CVPR 2023GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds
25. CVPR 2023Generalizing Dataset Distillation via Deep Generative Prior
26. CVPR 2023Generative Bias for Robust Visual Question Answering
27. CVPR 2023Generative Diffusion Prior for Unified Image Restoration and Enhancement
28. CVPR 2023Generative Semantic Segmentation
29. CVPR 2023Generic-to-Specific Distillation of Masked Autoencoders
30. CVPR 2023High-Fidelity Facial Avatar Reconstruction From Monocular Video With Generative Priors
31. CVPR 2023HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images
32. CVPR 2023How to Backdoor Diffusion Models?
33. CVPR 2023Implicit 3D Human Mesh Recovery Using Consistency With Pose and Shape From Unseen-View
34. CVPR 2023IS-GGT: Iterative Scene Graph Generation With Generative Transformers
35. CVPR 2023Learning 3D Representations From 2D Pre-Trained Models via Image-to-Point Masked Autoencoders
36. CVPR 2023Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models
37. CVPR 2023Learning Generative Structure Prior for Blind Text Image Super-Resolution
38. CVPR 2023Learning Locally Editable Virtual Humans
39. CVPR 2023Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field
40. CVPR 2023LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes
41. CVPR 2023MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis
42. CVPR 2023MAGVIT: Masked Generative Video Transformer
43. CVPR 2023MAGVLT: Masked Generative Vision-and-Language Transformer
44. CVPR 2023Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond
45. CVPR 2023Masked Autoencoders Enable Efficient Knowledge Distillers
46. CVPR 2023MEGANE: Morphable Eyeglass and Avatar Network
47. CVPR 2023Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars
48. CVPR 2023Objaverse: A Universe of Annotated 3D Objects
49. CVPR 2023ObjectStitch: Object Compositing With Diffusion Model
50. CVPR 2023On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation

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。