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 4,314 篇，第 76 / 87 页

3751. NeurIPS 2023Dynamic Pricing and Learning with Bayesian Persuasion
3752. NeurIPS 2023Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
3753. NeurIPS 2023Dynamically Masked Discriminator for GANs
3754. NeurIPS 2023Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies
3755. NeurIPS 2023Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks
3756. NeurIPS 2023EDGI: Equivariant Diffusion for Planning with Embodied Agents
3757. NeurIPS 2023Effective Targeted Attacks for Adversarial Self-Supervised Learning
3758. NeurIPS 2023Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning
3759. NeurIPS 2023Efficient Beam Tree Recursion
3760. NeurIPS 2023Efficient Equivariant Transfer Learning from Pretrained Models
3761. NeurIPS 2023Efficient Exploration in Continuous-time Model-based Reinforcement Learning
3762. NeurIPS 2023Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric
3763. NeurIPS 2023Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations
3764. NeurIPS 2023Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction
3765. NeurIPS 2023Efficient Training of Energy-Based Models Using Jarzynski Equality
3766. NeurIPS 2023Efficiently incorporating quintuple interactions into geometric deep learning force fields
3767. NeurIPS 2023EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks
3768. NeurIPS 2023Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples
3769. NeurIPS 2023Emergent and Predictable Memorization in Large Language Models
3770. NeurIPS 2023Encoding Human Behavior in Information Design through Deep Learning
3771. NeurIPS 2023Energy Transformer
3772. NeurIPS 2023Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
3773. NeurIPS 2023Enhancing Adversarial Robustness via Score-Based Optimization
3774. NeurIPS 2023Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns
3775. NeurIPS 2023Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift
3776. NeurIPS 2023Entropy-based Training Methods for Scalable Neural Implicit Samplers
3777. NeurIPS 2023Episodic Multi-Task Learning with Heterogeneous Neural Processes
3778. NeurIPS 2023Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation
3779. NeurIPS 2023Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
3780. NeurIPS 2023Equivariant Single View Pose Prediction Via Induced and Restriction Representations
3781. NeurIPS 2023Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations
3782. NeurIPS 2023Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors
3783. NeurIPS 2023Estimating Causal Effects Identifiable from a Combination of Observations and Experiments
3784. NeurIPS 2023Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance
3785. NeurIPS 2023Euler-Lagrange Analysis of Generative Adversarial Networks
3786. NeurIPS 2023Evaluating and Inducing Personality in Pre-trained Language Models
3787. NeurIPS 2023Evaluating Neuron Interpretation Methods of NLP Models
3788. NeurIPS 2023Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance
3789. NeurIPS 2023Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
3790. NeurIPS 2023Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction
3791. NeurIPS 2023EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning
3792. NeurIPS 2023Expert load matters: operating networks at high accuracy and low manual effort
3793. NeurIPS 2023Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture
3794. NeurIPS 2023Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models
3795. NeurIPS 2023Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
3796. NeurIPS 2023Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
3797. NeurIPS 2023Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
3798. NeurIPS 2023Expressive Sign Equivariant Networks for Spectral Geometric Learning
3799. NeurIPS 2023FABind: Fast and Accurate Protein-Ligand Binding
3800. NeurIPS 2023Face Reconstruction from Facial Templates by Learning Latent Space of a Generator Network

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。