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 1,216 篇，第 13 / 25 页

601. NeurIPS 2023Data Quality in Imitation Learning
602. NeurIPS 2023Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation
603. NeurIPS 2023DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
604. NeurIPS 2023Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
605. NeurIPS 2023Debiased and Denoised Entity Recognition from Distant Supervision
606. NeurIPS 2023Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes
607. NeurIPS 2023Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models
608. NeurIPS 2023Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses
609. NeurIPS 2023Deep Fractional Fourier Transform
610. NeurIPS 2023Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems
611. NeurIPS 2023Deep Insights into Noisy Pseudo Labeling on Graph Data
612. NeurIPS 2023Deep learning with kernels through RKHM and the Perron-Frobenius operator
613. NeurIPS 2023Deep Non-line-of-sight Imaging from Under-scanning Measurements
614. NeurIPS 2023Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration
615. NeurIPS 2023Deep Patch Visual Odometry
616. NeurIPS 2023Deep Recurrent Optimal Stopping
617. NeurIPS 2023Deep Stochastic Processes via Functional Markov Transition Operators
618. NeurIPS 2023Delegated Classification
619. NeurIPS 2023Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
620. NeurIPS 2023DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning
621. NeurIPS 2023Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
622. NeurIPS 2023DiffComplete: Diffusion-based Generative 3D Shape Completion
623. NeurIPS 2023Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes
624. NeurIPS 2023Differentiable Random Partition Models
625. NeurIPS 2023Differentially Private Image Classification by Learning Priors from Random Processes
626. NeurIPS 2023DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
627. NeurIPS 2023DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
628. NeurIPS 2023Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
629. NeurIPS 2023Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
630. NeurIPS 2023Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
631. NeurIPS 2023Diffusion Schrödinger Bridge Matching
632. NeurIPS 2023Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
633. NeurIPS 2023Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
634. NeurIPS 2023Direct Diffusion Bridge using Data Consistency for Inverse Problems
635. NeurIPS 2023Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity
636. NeurIPS 2023Disentanglement via Latent Quantization
637. NeurIPS 2023Disentangling Voice and Content with Self-Supervision for Speaker Recognition
638. NeurIPS 2023Distributed Inference and Fine-tuning of Large Language Models Over The Internet
639. NeurIPS 2023Distributed Personalized Empirical Risk Minimization
640. NeurIPS 2023Distribution Learnability and Robustness
641. NeurIPS 2023Diverse Shape Completion via Style Modulated Generative Adversarial Networks
642. NeurIPS 2023Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework
643. NeurIPS 2023Domain Adaptive Imitation Learning with Visual Observation
644. NeurIPS 2023Domain Re-Modulation for Few-Shot Generative Domain Adaptation
645. NeurIPS 2023Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand
646. NeurIPS 2023DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement
647. NeurIPS 2023Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control
648. NeurIPS 2023Double Gumbel Q-Learning
649. NeurIPS 2023DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization
650. NeurIPS 2023DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning

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。