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 768 篇，第 10 / 16 页

451. NeurIPS 2024Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
452. NeurIPS 2024Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming
453. NeurIPS 2024BERTs are Generative In-Context Learners
454. NeurIPS 2024Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps
455. NeurIPS 2024BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
456. NeurIPS 2024Boosting Alignment for Post-Unlearning Text-to-Image Generative Models
457. NeurIPS 2024BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?
458. NeurIPS 2024Bridging Geometric States via Geometric Diffusion Bridge
459. NeurIPS 2024Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models
460. NeurIPS 2024Bridging OOD Detection and Generalization: A Graph-Theoretic View
461. NeurIPS 2024C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
462. NeurIPS 2024Can Models Learn Skill Composition from Examples?
463. NeurIPS 2024Cascade of phase transitions in the training of energy-based models
464. NeurIPS 2024Categorical Flow Matching on Statistical Manifolds
465. NeurIPS 2024Causal language modeling can elicit search and reasoning capabilities on logic puzzles
466. NeurIPS 2024Challenges of Generating Structurally Diverse Graphs
467. NeurIPS 2024Classification Diffusion Models: Revitalizing Density Ratio Estimation
468. NeurIPS 2024ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
469. NeurIPS 2024Compositional 3D-aware Video Generation with LLM Director
470. NeurIPS 2024Conditioning non-linear and infinite-dimensional diffusion processes
471. NeurIPS 2024Consistency of Neural Causal Partial Identification
472. NeurIPS 2024Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
473. NeurIPS 2024Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT
474. NeurIPS 2024ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models
475. NeurIPS 2024COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation
476. NeurIPS 2024CRAG - Comprehensive RAG Benchmark
477. NeurIPS 2024Credit Attribution and Stable Compression
478. NeurIPS 2024CryoBench: Datasets and Benchmarks for Heterogeneous Cryo-EM Reconstruction
479. NeurIPS 2024CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy
480. NeurIPS 2024Cryptographic Hardness of Score Estimation
481. NeurIPS 2024Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance
482. NeurIPS 2024CV-VAE: A Compatible Video VAE for Latent Generative Video Models
483. NeurIPS 2024DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
484. NeurIPS 2024Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
485. NeurIPS 2024Debiasing Synthetic Data Generated by Deep Generative Models
486. NeurIPS 2024DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection
487. NeurIPS 2024DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
488. NeurIPS 2024DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform
489. NeurIPS 2024DenoiseRep: Denoising Model for Representation Learning
490. NeurIPS 2024DiffPhyCon: A Generative Approach to Control Complex Physical Systems
491. NeurIPS 2024Diffusion Models With Learned Adaptive Noise
492. NeurIPS 2024Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies
493. NeurIPS 2024Diffusion4D: Fast Spatial-temporal Consistent 4D generation via Video Diffusion Models
494. NeurIPS 2024DiffusionPDE: Generative PDE-Solving under Partial Observation
495. NeurIPS 2024DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation
496. NeurIPS 2024DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
497. NeurIPS 2024Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer
498. NeurIPS 2024Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms
499. NeurIPS 2024Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
500. NeurIPS 2024Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models

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。