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 59 / 87 页

2901. NeurIPS 2024Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability
2902. NeurIPS 2024HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
2903. NeurIPS 2024HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets
2904. NeurIPS 2024Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
2905. NeurIPS 2024Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models
2906. NeurIPS 2024Image Reconstruction Via Autoencoding Sequential Deep Image Prior
2907. NeurIPS 2024Image Understanding Makes for A Good Tokenizer for Image Generation
2908. NeurIPS 2024Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders
2909. NeurIPS 2024Improving the Training of Rectified Flows
2910. NeurIPS 2024Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection
2911. NeurIPS 2024Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models
2912. NeurIPS 2024Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
2913. NeurIPS 2024Instruction-Guided Visual Masking
2914. NeurIPS 2024InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction
2915. NeurIPS 2024Invisible Image Watermarks Are Provably Removable Using Generative AI
2916. NeurIPS 2024Is Programming by Example Solved by LLMs?
2917. NeurIPS 2024Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
2918. NeurIPS 2024L4GM: Large 4D Gaussian Reconstruction Model
2919. NeurIPS 2024LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image
2920. NeurIPS 2024Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
2921. NeurIPS 2024Language-Driven Interactive Traffic Trajectory Generation
2922. NeurIPS 2024LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3D
2923. NeurIPS 2024Learning Diffusion Priors from Observations by Expectation Maximization
2924. NeurIPS 2024Learning Distributions on Manifolds with Free-Form Flows
2925. NeurIPS 2024Learning from Pattern Completion: Self-supervised Controllable Generation
2926. NeurIPS 2024Learning Superconductivity from Ordered and Disordered Material Structures
2927. NeurIPS 2024Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
2928. NeurIPS 2024Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems
2929. NeurIPS 2024Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
2930. NeurIPS 2024Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals
2931. NeurIPS 2024Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models
2932. NeurIPS 2024LG-VQ: Language-Guided Codebook Learning
2933. NeurIPS 2024Light Unbalanced Optimal Transport
2934. NeurIPS 2024Linguistic Collapse: Neural Collapse in (Large) Language Models
2935. NeurIPS 2024LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
2936. NeurIPS 2024LLM Circuit Analyses Are Consistent Across Training and Scale
2937. NeurIPS 2024Local Curvature Smoothing with Stein's Identity for Efficient Score Matching
2938. NeurIPS 2024Local to Global: Learning Dynamics and Effect of Initialization for Transformers
2939. NeurIPS 2024Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild
2940. NeurIPS 2024Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models
2941. NeurIPS 2024Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT
2942. NeurIPS 2024MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models
2943. NeurIPS 2024MassSpecGym: A benchmark for the discovery and identification of molecules
2944. NeurIPS 2024Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models
2945. NeurIPS 2024Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
2946. NeurIPS 2024MeshXL: Neural Coordinate Field for Generative 3D Foundation Models
2947. NeurIPS 2024Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials
2948. NeurIPS 2024Metric Flow Matching for Smooth Interpolations on the Data Manifold
2949. NeurIPS 2024Metric Space Magnitude for Evaluating the Diversity of Latent Representations
2950. NeurIPS 2024MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs

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。