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 174 篇，第 1 / 4 页

1. CVPR 20262ndMatch Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching
2. CVPR 2026A Difference-in-Difference Approach to Detecting AI-Generated Images
3. CVPR 2026A Frame is Worth One Token Efficient Generative World Modeling
4. CVPR 2026Accelerating Diffusion Model Training under Minimal Budgets A Condensation-Based Perspective
5. CVPR 2026Affostruction 3D Affordance Grounding with Generative Reconstruction
6. CVPR 2026Align Images Before You Generate
7. CVPR 2026Anchoring and Rescaling Attention for Semantically Coherent Inbetweening
8. CVPR 2026Attention May I Have Your Decision Localizing Generative Choices in
9. CVPR 2026Back to Basics Let Denoising Generative Models Denoise
10. CVPR 2026Beyond Euclidean Gossip KL-Barycentric Consensus on Heterogeneous and Imbalanced Images
11. CVPR 2026Bidirectional Normalizing Flow From Data to Noise and Back
12. CVPR 2026Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing
13. CVPR 2026BrickNet Graph-Backed Generative Brick Assembly
14. CVPR 2026Bridging Facial Understanding and Animation via Language Models
15. CVPR 2026Bringing Your Portrait to 3D Presence
16. CVPR 2026C2FG Control Classifier-Free Guidance via Score Discrepancy Analysis
17. CVPR 2026CADC Content Adaptive Diffusion-Based Generative Image Compression
18. CVPR 2026CADFS A Big CAD Program Dataset and Framework for Computer-Aided
19. CVPR 2026Can Natural Image Autoencoders Compactly Tokenize fMRI Volumes for Long-Range
20. CVPR 2026CGHair Compact Gaussian Hair Reconstruction with Card Clustering
21. CVPR 2026ChArtist Generating Pictorial Charts with Unified Spatial and Subject Control
22. CVPR 2026Choreographing a World of Dynamic Objects
23. CVPR 2026Circular-DPO Aligning Multi-Stage 3D Generative Models via Preference Feedback Loop
24. CVPR 2026Cloning Deterministic Worlds The Critical Role of Latent Geometry in
25. CVPR 2026CraftMesh High-Fidelity Generative Mesh Manipulation via Poisson Seamless Fusion
26. CVPR 2026cryoSENSE Compressive Sensing Enables High-throughput Microscopy with Sparse and Generative
27. CVPR 2026CUPID Generative 3D Reconstruction via Joint Object and Pose Modeling
28. CVPR 2026Decoupled Generative Modeling for Human-Object Interaction Synthesis
29. CVPR 2026DeepProtect Proactive Face-Swapping Defense using Identity Blending and Attribute Distortion
30. CVPR 2026Diff-SemiER Transparency-Aware Adaptive Fusion Diffusion Model with Generative Prior for
31. CVPR 2026Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression
32. CVPR 2026Diffusion Mental Averages
33. CVPR 2026DiT-Distill Open-Set Fine-Grained Retrieval via Generative Curriculum Knowledge
34. CVPR 2026DTG-Restore Training-Free Diffusion Refinement for Generative Video Super-Resolution
35. CVPR 2026DualPrim Compact 3D Reconstruction with Positive and Negative Primitives
36. CVPR 2026E-comIQ-ZH A Human-Aligned Dataset and Benchmark for Fine-Grained Evaluation of
37. CVPR 2026EditCtrl Disentangled Local and Global Control for Real-Time Generative Video
38. CVPR 2026EditMGT Unleashing Potentials of Masked Generative Transformers in Image Editing
39. CVPR 2026Efficient Weighted Sampling via Score-based Generative Models
40. CVPR 2026Ego-InBetween Generating Object State Transitions in Ego-Centric Videos
41. CVPR 2026Enabling Supervised Learning of Generative Signatures for Generalized AI-Generated Images
42. CVPR 2026ERMoE Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization
43. CVPR 2026Event-based Motion Deblurring with Unpaired Data
44. CVPR 2026EVLF Early Vision-Language Fusion for Generative Dataset Distillation
45. CVPR 2026Expand and Prune Maximizing Trajectory Diversity for Effective GRPO in
46. CVPR 2026Exploring Spatial Intelligence from a Generative Perspective
47. CVPR 2026ExpoCM Exposure-Aware One-Step Generative Single-Image HDR Reconstruction
48. CVPR 2026FARMER Flow AutoRegressive Transformer over Pixels
49. CVPR 2026Flow Matching for Multimodal Distributions
50. CVPR 2026From 2D Alignment to 3D Plausibility Unifying Heterogeneous 2D Priors

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。