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 768 篇，第 12 / 16 页
- NeurIPS 2024Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
- NeurIPS 2024GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping
- NeurIPS 2024GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation
- NeurIPS 2024Gorilla: Large Language Model Connected with Massive APIs
- NeurIPS 2024Gradient-free Decoder Inversion in Latent Diffusion Models
- NeurIPS 2024Graph Diffusion Policy Optimization
- NeurIPS 2024Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
- NeurIPS 2024Grounding Multimodal Large Language Models in Actions
- NeurIPS 2024Group Robust Preference Optimization in Reward-free RLHF
- NeurIPS 2024GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
- NeurIPS 2024GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
- NeurIPS 2024GuardT2I: Defending Text-to-Image Models from Adversarial Prompts
- NeurIPS 2024Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
- NeurIPS 2024HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
- NeurIPS 2024Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation
- NeurIPS 2024Hamiltonian Score Matching and Generative Flows
- NeurIPS 2024Harmonizing Visual Text Comprehension and Generation
- NeurIPS 2024HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation
- NeurIPS 2024HonestLLM: Toward an Honest and Helpful Large Language Model
- NeurIPS 2024How Diffusion Models Learn to Factorize and Compose
- NeurIPS 2024Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability
- NeurIPS 2024HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
- NeurIPS 2024HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets
- NeurIPS 2024Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
- NeurIPS 2024Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models
- NeurIPS 2024Image Reconstruction Via Autoencoding Sequential Deep Image Prior
- NeurIPS 2024Image Understanding Makes for A Good Tokenizer for Image Generation
- NeurIPS 2024Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders
- NeurIPS 2024Improving the Training of Rectified Flows
- NeurIPS 2024Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection
- NeurIPS 2024Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models
- NeurIPS 2024Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
- NeurIPS 2024Instruction-Guided Visual Masking
- NeurIPS 2024InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction
- NeurIPS 2024Invisible Image Watermarks Are Provably Removable Using Generative AI
- NeurIPS 2024Is Programming by Example Solved by LLMs?
- NeurIPS 2024Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
- NeurIPS 2024L4GM: Large 4D Gaussian Reconstruction Model
- NeurIPS 2024LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image
- NeurIPS 2024Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
- NeurIPS 2024Language-Driven Interactive Traffic Trajectory Generation
- NeurIPS 2024LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3D
- NeurIPS 2024Learning Diffusion Priors from Observations by Expectation Maximization
- NeurIPS 2024Learning Distributions on Manifolds with Free-Form Flows
- NeurIPS 2024Learning from Pattern Completion: Self-supervised Controllable Generation
- NeurIPS 2024Learning Superconductivity from Ordered and Disordered Material Structures
- NeurIPS 2024Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
- NeurIPS 2024Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems
- NeurIPS 2024Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
- NeurIPS 2024Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals
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。