非凸优化论文趋势 2023–2026

收敛与 landscape

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 2,330 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

非凸优化论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023154799815346
202427510716018560
202527917719219667
202625017828643757

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

全部非凸优化论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 560 篇，第 1 / 12 页

  1. CVPR 2024Adapters Strike Back
  2. CVPR 2024DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation
  3. CVPR 2024Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
  4. CVPR 2024FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
  5. CVPR 2024Fast Adaptation for Human Pose Estimation via Meta-Optimization
  6. CVPR 2024Friendly Sharpness-Aware Minimization
  7. CVPR 2024ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization
  8. CVPR 2024Implicit Event-RGBD Neural SLAM
  9. CVPR 2024In Search of a Data Transformation That Accelerates Neural Field Training
  10. CVPR 2024Ink Dot-Oriented Differentiable Optimization for Neural Image Halftoning
  11. CVPR 2024Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization
  12. CVPR 2024Multiway Point Cloud Mosaicking with Diffusion and Global Optimization
  13. CVPR 2024NEAT: Distilling 3D Wireframes from Neural Attraction Fields
  14. CVPR 2024POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning
  15. CVPR 2024Quantifying Task Priority for Multi-Task Optimization
  16. CVPR 2024Re-thinking Data Availability Attacks Against Deep Neural Networks
  17. CVPR 2024SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild
  18. CVPR 2024Towards Robust Learning to Optimize with Theoretical Guarantees
  19. ICLR 2024A Discretization Framework for Robust Contextual Stochastic Optimization
  20. ICLR 2024A Fast and Provable Algorithm for Sparse Phase Retrieval
  21. ICLR 2024A General Framework for User-Guided Bayesian Optimization
  22. ICLR 2024A Precise Characterization of SGD Stability Using Loss Surface Geometry
  23. ICLR 2024A Primal-Dual Approach to Solving Variational Inequalities with General Constraints
  24. ICLR 2024A Probabilistic Framework for Modular Continual Learning
  25. ICLR 2024A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
  26. ICLR 2024A Unified Framework for Bayesian Optimization under Contextual Uncertainty
  27. ICLR 2024Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
  28. ICLR 2024Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks
  29. ICLR 2024Accelerating Sinkhorn algorithm with sparse Newton iterations
  30. ICLR 2024Adversarial Causal Bayesian Optimization
  31. ICLR 2024An improved analysis of per-sample and per-update clipping in federated learning
  32. ICLR 2024Backdoor Contrastive Learning via Bi-level Trigger Optimization
  33. ICLR 2024Balancing Act: Constraining Disparate Impact in Sparse Models
  34. ICLR 2024Bayesian Coreset Optimization for Personalized Federated Learning
  35. ICLR 2024Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data
  36. ICLR 2024Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints
  37. ICLR 2024Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
  38. ICLR 2024Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
  39. ICLR 2024CO2: Efficient Distributed Training with Full Communication-Computation Overlap
  40. ICLR 2024Combining Axes Preconditioners through Kronecker Approximation for Deep Learning
  41. ICLR 2024Communication-Efficient Federated Non-Linear Bandit Optimization
  42. ICLR 2024Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm
  43. ICLR 2024Constraint-Free Structure Learning with Smooth Acyclic Orientations
  44. ICLR 2024Convergence of Bayesian Bilevel Optimization
  45. ICLR 2024Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
  46. ICLR 2024DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training
  47. ICLR 2024Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization
  48. ICLR 2024Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
  49. ICLR 2024Distributionally Robust Optimization with Bias and Variance Reduction
  50. ICLR 2024Doubly Robust Instance-Reweighted Adversarial Training

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查非凸优化在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "nonconvex-optimization"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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