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 830 篇，第 12 / 17 页
- ICLR 2025TopoDiffusionNet: A Topology-aware Diffusion Model
- ICLR 2025Topological Schrödinger Bridge Matching
- ICLR 2025Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers
- ICLR 2025Towards Hierarchical Rectified Flow
- ICLR 2025Towards Improving Exploration through Sibling Augmented GFlowNets
- ICLR 2025Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Control
- ICLR 2025Towards Scalable Topological Regularizers
- ICLR 2025Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures
- ICLR 2025Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity
- ICLR 2025Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context
- ICLR 2025Training Free Exponential Context Extension via Cascading KV Cache
- ICLR 2025Triples as the Key: Structuring Makes Decomposition and Verification Easier in LLM-based TableQA
- ICLR 2025Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
- ICLR 2025Truncated Consistency Models
- ICLR 2025U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models
- ICLR 2025Unbounded: A Generative Infinite Game of Character Life Simulation
- ICLR 2025Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers
- ICLR 2025UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
- ICLR 2025Universal generalization guarantees for Wasserstein distributionally robust models
- ICLR 2025Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
- ICLR 2025Unlocking Point Processes through Point Set Diffusion
- ICLR 2025Variational Search Distributions
- ICLR 2025VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
- ICLR 2025What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models
- ICLR 2025Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction
- ICLR 2025Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers
- ICLR 2025WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
- ICLR 2025World Model on Million-Length Video And Language With Blockwise RingAttention
- ICLR 2024$\alpha$TC-VAE: On the relationship between Disentanglement and Diversity
- ICLR 2024$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
- ICLR 2024$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
- ICLR 2024A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality
- ICLR 2024A Simple and Scalable Representation for Graph Generation
- ICLR 2024A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
- ICLR 2024A Variational Perspective on Solving Inverse Problems with Diffusion Models
- ICLR 2024AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
- ICLR 2024AlpaGasus: Training a Better Alpaca with Fewer Data
- ICLR 2024Amortizing intractable inference in large language models
- ICLR 2024Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity
- ICLR 2024Analyzing and Improving Optimal-Transport-based Adversarial Networks
- ICLR 2024Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations
- ICLR 2024Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
- ICLR 2024BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
- ICLR 2024Beating Price of Anarchy and Gradient Descent without Regret in Potential Games
- ICLR 2024Bellman Optimal Stepsize Straightening of Flow-Matching Models
- ICLR 2024Bespoke Solvers for Generative Flow Models
- ICLR 2024Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
- ICLR 2024Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
- ICLR 2024CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling
- ICLR 2024Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
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。