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 900 篇，第 8 / 18 页

351. ICLR 2025TFG-Flow: Training-free Guidance in Multimodal Generative Flow
352. ICLR 2025The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise
353. ICLR 2025The Superposition of Diffusion Models Using the Itô Density Estimator
354. ICLR 2025Think while You Generate: Discrete Diffusion with Planned Denoising
355. ICLR 2025ThunderKittens: Simple, Fast, and $\textit{Adorable}$ Kernels
356. ICLR 2025TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
357. ICLR 2025TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models
358. ICLR 2025TopoDiffusionNet: A Topology-aware Diffusion Model
359. ICLR 2025Topological Schrödinger Bridge Matching
360. ICLR 2025Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers
361. ICLR 2025Towards Hierarchical Rectified Flow
362. ICLR 2025Towards Improving Exploration through Sibling Augmented GFlowNets
363. ICLR 2025Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Control
364. ICLR 2025Towards Scalable Topological Regularizers
365. ICLR 2025Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures
366. ICLR 2025Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity
367. ICLR 2025Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context
368. ICLR 2025Training Free Exponential Context Extension via Cascading KV Cache
369. ICLR 2025Triples as the Key: Structuring Makes Decomposition and Verification Easier in LLM-based TableQA
370. ICLR 2025Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
371. ICLR 2025Truncated Consistency Models
372. ICLR 2025U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models
373. ICLR 2025Unbounded: A Generative Infinite Game of Character Life Simulation
374. ICLR 2025Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers
375. ICLR 2025UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
376. ICLR 2025Universal generalization guarantees for Wasserstein distributionally robust models
377. ICLR 2025Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
378. ICLR 2025Unlocking Point Processes through Point Set Diffusion
379. ICLR 2025Variational Search Distributions
380. ICLR 2025VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
381. ICLR 2025What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models
382. ICLR 2025Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction
383. ICLR 2025Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers
384. ICLR 2025WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
385. ICLR 2025World Model on Million-Length Video And Language With Blockwise RingAttention
386. ICML 2025A First-order Generative Bilevel Optimization Framework for Diffusion Models
387. ICML 2025A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
388. ICML 2025A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
389. ICML 2025A Theory for Conditional Generative Modeling on Multiple Data Sources
390. ICML 2025A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression
391. ICML 2025A Variational Framework for Improving Naturalness in Generative Spoken Language Models
392. ICML 2025A Variational Perspective on Generative Protein Fitness Optimization
393. ICML 2025Accelerated Diffusion Models via Speculative Sampling
394. ICML 2025ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
395. ICML 2025AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models
396. ICML 2025Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
397. ICML 2025An All-Atom Generative Model for Designing Protein Complexes
398. ICML 2025An Online Learning Approach to Prompt-based Selection of Generative Models and LLMs
399. ICML 2025Analytical Lyapunov Function Discovery: An RL-based Generative Approach
400. ICML 2025Analyze Feature Flow to Enhance Interpretation and Steering in Language Models

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。