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 1,714 篇，第 9 / 35 页

401. NeurIPS 2025Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior
402. NeurIPS 2025Diffusion Beats Autoregressive in Data-Constrained Settings
403. NeurIPS 2025Diffusion Generative Modeling on Lie Group Representations
404. NeurIPS 2025Diffusion on Demand: Selective Caching and Modulation for Efficient Generation
405. NeurIPS 2025Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
406. NeurIPS 2025Dimension-free Score Matching and Time Bootstrapping for Diffusion Models
407. NeurIPS 2025Dimensional Collapse in VQVAEs: Evidence and Remedies
408. NeurIPS 2025Distributional Autoencoders Know the Score
409. NeurIPS 2025Dynamic and Chemical Constraints to Enhance the Molecular Masked Graph Autoencoders
410. NeurIPS 2025Efficient Algorithms for Robust and Partial Semi-Discrete Optimal Transport
411. NeurIPS 2025Efficient Multimodal Dataset Distillation via Generative Models
412. NeurIPS 2025Emergence and Evolution of Interpretable Concepts in Diffusion Models
413. NeurIPS 2025Encoder-Decoder Diffusion Language Models for Efficient Training and Inference
414. NeurIPS 2025Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
415. NeurIPS 2025Entropic Time Schedulers for Generative Diffusion Models
416. NeurIPS 2025Entropy Rectifying Guidance for Diffusion and Flow Models
417. NeurIPS 2025Exponential Convergence Guarantees for Iterative Markovian Fitting
418. NeurIPS 2025Fine-grained List-wise Alignment for Generative Medication Recommendation
419. NeurIPS 2025Flash Invariant Point Attention
420. NeurIPS 2025Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning
421. NeurIPS 2025FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
422. NeurIPS 2025FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion
423. NeurIPS 2025Fractional Diffusion Bridge Models
424. NeurIPS 2025From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD
425. NeurIPS 2025From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models
426. NeurIPS 2025FuncGenFoil: Airfoil Generation and Editing Model in Function Space
427. NeurIPS 2025GenColor: Generative and Expressive Color Enhancement with Pixel-Perfect Texture Preservation
428. NeurIPS 2025GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow
429. NeurIPS 2025Generating Creative Chess Puzzles
430. NeurIPS 2025Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations
431. NeurIPS 2025Generating Physically Sound Designs from Text and a Set of Physical Constraints
432. NeurIPS 2025Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization
433. NeurIPS 2025Generative Caching for Structurally Similar Prompts and Responses
434. NeurIPS 2025Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting
435. NeurIPS 2025Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms
436. NeurIPS 2025Generative Distribution Embeddings
437. NeurIPS 2025Generative Graph Pattern Machine
438. NeurIPS 2025Generative Model Inversion Through the Lens of the Manifold Hypothesis
439. NeurIPS 2025Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings
440. NeurIPS 2025Generative Perception of Shape and Material from Differential Motion
441. NeurIPS 2025Generative Pre-trained Autoregressive Diffusion Transformer
442. NeurIPS 2025Generative Trajectory Stitching through Diffusion Composition
443. NeurIPS 2025GenIR: Generative Visual Feedback for Mental Image Retrieval
444. NeurIPS 2025GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning
445. NeurIPS 2025Gradient Variance Reveals Failure Modes in Flow-Based Generative Models
446. NeurIPS 2025Graph Diffusion that can Insert and Delete
447. NeurIPS 2025GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer
448. NeurIPS 2025High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction
449. NeurIPS 2025High-Order Flow Matching: Unified Framework and Sharp Statistical Rates
450. NeurIPS 2025HollowFlow: Efficient Sample Likelihood Evaluation using Hollow Message Passing

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。