非凸优化论文趋势 2023–2026

主要结论

• 非凸优化论文从 2023 年的 346 篇增长到 2026 年的 757 篇，三年间扩大到约 2.2 倍。
• NeurIPS 是发非凸优化论文最多的会议，2023–2026 年共 958 篇，占四个会议总量的 41%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 2 篇增至 2026 年的 44 篇。
• 在「优化与缩放」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的缩放定律是 4.1 倍，非凸优化是 2.2 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 2026$\gamma$-weakly $\theta$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions
• ICML 2026$\texttt{MetaDistill}$: Unlocking the Performance Ceiling for Pretrained Optimizers
• ICLR 2026Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization Prediction
• CVPR 2026Coverage Optimization for Camera View Selection
• NeurIPS 2025Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
• ICML 2025A Bregman Proximal Viewpoint on Neural Operators
• ICLR 2025A Truncated Newton Method for Optimal Transport
• CVPR 2025Balanced Rate-Distortion Optimization in Learned Image Compression
• NeurIPS 2024A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
• ICML 2024A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
• ICLR 2024Bayesian Coreset Optimization for Personalized Federated Learning
• CVPR 2024FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
• NeurIPS 2023A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting
• ICML 2023A Distribution Optimization Framework for Confidence Bounds of Risk Measures
• ICLR 2023A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.
• CVPR 2023Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization
• NeurIPS 2026A Doubly Smoothed Decentralized Stochastic Minimax Optimization Algorithm
• ICML 2026A Constrained Optimization Perspective of Unrolled Transformers
• ICLR 2026BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
• CVPR 2026Fully Decentralized Certified Unlearning

全部非凸优化论文

共 95 篇，第 2 / 2 页

51. CVPR 2025EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian Splatting
52. CVPR 2025FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
53. CVPR 2025HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition
54. CVPR 2025InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment
55. CVPR 2025Instance-wise Supervision-level Optimization in Active Learning
56. CVPR 2025Investigating the Role of Weight Decay in Enhancing Nonconvex SGD
57. CVPR 2025Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video
58. CVPR 2025Locally Orderless Images for Optimization in Differentiable Rendering
59. CVPR 2025PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllers
60. CVPR 2025Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
61. CVPR 2025SSHNet: Unsupervised Cross-modal Homography Estimation via Problem Reformulation and Split Optimization
62. CVPR 2025SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization
63. CVPR 2024Adapters Strike Back
64. CVPR 2024DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation
65. CVPR 2024Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
66. CVPR 2024FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
67. CVPR 2024Fast Adaptation for Human Pose Estimation via Meta-Optimization
68. CVPR 2024Friendly Sharpness-Aware Minimization
69. CVPR 2024ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization
70. CVPR 2024Implicit Event-RGBD Neural SLAM
71. CVPR 2024In Search of a Data Transformation That Accelerates Neural Field Training
72. CVPR 2024Ink Dot-Oriented Differentiable Optimization for Neural Image Halftoning
73. CVPR 2024Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization
74. CVPR 2024Multiway Point Cloud Mosaicking with Diffusion and Global Optimization
75. CVPR 2024NEAT: Distilling 3D Wireframes from Neural Attraction Fields
76. CVPR 2024POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning
77. CVPR 2024Quantifying Task Priority for Multi-Task Optimization
78. CVPR 2024Re-thinking Data Availability Attacks Against Deep Neural Networks
79. CVPR 2024SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild
80. CVPR 2024Towards Robust Learning to Optimize with Theoretical Guarantees
81. CVPR 2023Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization
82. CVPR 2023Cross-Guided Optimization of Radiance Fields With Multi-View Image Super-Resolution for High-Resolution Novel View Synthesis
83. CVPR 2023Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision
84. CVPR 2023DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
85. CVPR 2023Elastic Aggregation for Federated Optimization
86. CVPR 2023GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
87. CVPR 2023High-Fidelity 3D GAN Inversion by Pseudo-Multi-View Optimization
88. CVPR 2023LiDAR-in-the-Loop Hyperparameter Optimization
89. CVPR 2023Optimization-Inspired Cross-Attention Transformer for Compressive Sensing
90. CVPR 2023PyPose: A Library for Robot Learning With Physics-Based Optimization
91. CVPR 2023Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
92. CVPR 2023StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer
93. CVPR 2023Towards Better Decision Forests: Forest Alternating Optimization
94. CVPR 2023Transformer-Based Learned Optimization
95. CVPR 2023Tunable Convolutions With Parametric Multi-Loss Optimization

常见问题

2023–2026 年四大会议一共有多少篇非凸优化论文？

共 2,330 篇，按年份分别是 2023 年 346 篇、2024 年 560 篇、2025 年 667 篇、2026 年 757 篇。

NeurIPS 2026 有多少篇非凸优化论文？

NeurIPS 2026 有 250 篇非凸优化论文，上一届是 279 篇。

ICLR 2026 有多少篇非凸优化论文？

ICLR 2026 有 178 篇非凸优化论文，上一届是 177 篇。

ICML 2026 有多少篇非凸优化论文？

ICML 2026 有 286 篇非凸优化论文，上一届是 192 篇。

CVPR 2026 有多少篇非凸优化论文？

CVPR 2026 有 43 篇非凸优化论文，上一届是 19 篇。

哪个会议的非凸优化论文最多？

NeurIPS，2023–2026 年共 958 篇。