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 4,314 篇，第 51 / 87 页
- ICLR 2024Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping
- ICLR 2024Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
- ICLR 2024Generative Modeling with Phase Stochastic Bridge
- ICLR 2024Generative Sliced MMD Flows with Riesz Kernels
- ICLR 2024GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules
- ICLR 2024Ghost on the Shell: An Expressive Representation of General 3D Shapes
- ICLR 2024Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
- ICLR 2024H-GAP: Humanoid Control with a Generalist Planner
- ICLR 2024HiGen: Hierarchical Graph Generative Networks
- ICLR 2024How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
- ICLR 2024How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
- ICLR 2024Human Motion Diffusion as a Generative Prior
- ICLR 2024Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
- ICLR 2024HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
- ICLR 2024Idempotence and Perceptual Image Compression
- ICLR 2024Idempotent Generative Network
- ICLR 2024Improved sampling via learned diffusions
- ICLR 2024Improved Techniques for Training Consistency Models
- ICLR 2024In-Context Learning Learns Label Relationships but Is Not Conventional Learning
- ICLR 2024InfoCon: Concept Discovery with Generative and Discriminative Informativeness
- ICLR 2024Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models
- ICLR 2024Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
- ICLR 2024InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior
- ICLR 2024JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention
- ICLR 2024Label-Noise Robust Diffusion Models
- ICLR 2024Language Model Cascades: Token-Level Uncertainty And Beyond
- ICLR 2024Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication
- ICLR 2024Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
- ICLR 2024Learning Energy Decompositions for Partial Inference in GFlowNets
- ICLR 2024Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
- ICLR 2024Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
- ICLR 2024Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
- ICLR 2024Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
- ICLR 2024Lifting Architectural Constraints of Injective Flows
- ICLR 2024Light Schrödinger Bridge
- ICLR 2024Lipschitz Singularities in Diffusion Models
- ICLR 2024LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses
- ICLR 2024Localizing and Editing Knowledge In Text-to-Image Generative Models
- ICLR 2024Long-tailed Diffusion Models with Oriented Calibration
- ICLR 2024LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
- ICLR 2024Machine Unlearning for Image-to-Image Generative Models
- ICLR 2024Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
- ICLR 2024Manifold Diffusion Fields
- ICLR 2024Manifold Preserving Guided Diffusion
- ICLR 2024Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners
- ICLR 2024MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods
- ICLR 2024MiniLLM: Knowledge Distillation of Large Language Models
- ICLR 2024Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
- ICLR 2024Modelling complex vector drawings with stroke-clouds
- ICLR 2024Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
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。