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 14 / 35 页

651. NeurIPS 2024Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance
652. NeurIPS 2024CV-VAE: A Compatible Video VAE for Latent Generative Video Models
653. NeurIPS 2024DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
654. NeurIPS 2024Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
655. NeurIPS 2024Debiasing Synthetic Data Generated by Deep Generative Models
656. NeurIPS 2024DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection
657. NeurIPS 2024DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
658. NeurIPS 2024DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform
659. NeurIPS 2024DenoiseRep: Denoising Model for Representation Learning
660. NeurIPS 2024DiffPhyCon: A Generative Approach to Control Complex Physical Systems
661. NeurIPS 2024Diffusion Models With Learned Adaptive Noise
662. NeurIPS 2024Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies
663. NeurIPS 2024Diffusion4D: Fast Spatial-temporal Consistent 4D generation via Video Diffusion Models
664. NeurIPS 2024DiffusionPDE: Generative PDE-Solving under Partial Observation
665. NeurIPS 2024DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation
666. NeurIPS 2024DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
667. NeurIPS 2024Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer
668. NeurIPS 2024Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms
669. NeurIPS 2024Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
670. NeurIPS 2024Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
671. NeurIPS 2024DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation
672. NeurIPS 2024DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models
673. NeurIPS 2024Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images
674. NeurIPS 2024Dynamic Conditional Optimal Transport through Simulation-Free Flows
675. NeurIPS 2024Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition
676. NeurIPS 2024EM Distillation for One-step Diffusion Models
677. NeurIPS 2024Embedding-Aligned Language Models
678. NeurIPS 2024ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis
679. NeurIPS 2024Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces
680. NeurIPS 2024Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
681. NeurIPS 2024Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination
682. NeurIPS 2024EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
683. NeurIPS 2024Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation
684. NeurIPS 2024Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention
685. NeurIPS 2024Estimating the Hallucination Rate of Generative AI
686. NeurIPS 2024Evaluating the design space of diffusion-based generative models
687. NeurIPS 2024Evaluating the World Model Implicit in a Generative Model
688. NeurIPS 2024Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals
689. NeurIPS 2024Exocentric-to-Egocentric Video Generation
690. NeurIPS 2024Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
691. NeurIPS 2024Exploring DCN-like architecture for fast image generation with arbitrary resolution
692. NeurIPS 2024Extending Video Masked Autoencoders to 128 frames
693. NeurIPS 2024FactorSim: Generative Simulation via Factorized Representation
694. NeurIPS 2024Fast Best-of-N Decoding via Speculative Rejection
695. NeurIPS 2024Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
696. NeurIPS 2024Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
697. NeurIPS 2024FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
698. NeurIPS 2024Few-Shot Diffusion Models Escape the Curse of Dimensionality
699. NeurIPS 2024Few-Shot Task Learning through Inverse Generative Modeling
700. NeurIPS 2024FINALLY: fast and universal speech enhancement with studio-like quality

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。