深度学习 · optimization论文趋势 2023–2026

主要结论

• 深度学习 · optimization论文从 2023 年的 256 篇降到 2026 年的 240 篇，热度在回落。
• NeurIPS 是发深度学习 · optimization论文最多的会议，2023–2026 年共 500 篇，占四个会议总量的 52%。
• 交叉方向里涨得最快的是对齐与安全：同时属于两个主题的论文从 2023 年的 5 篇增至 2026 年的 23 篇。
• 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 6；同组增长最快的扩散模型是 4.1 倍，深度学习 · optimization是 0.9 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 2026Achieving Directional-Stationarity from a Single Random Direction Step
• ICML 2026Bottleneck Communication Delay Minimization for Communication-Efficient Decentralized Learning
• ICLR 2026From Sorting Algorithms to Scalable Kernels: Bayesian Optimization in High-Dimensional Permutation Spaces
• CVPR 2026Coverage Optimization for Camera View Selection
• NeurIPS 2025High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search
• ICML 2025Feature-Mapping Topology Optimization with Neural Heaviside Signed Distance Functions
• ICLR 2025Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
• CVPR 2025HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition
• NeurIPS 2024$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling
• ICML 2024Barrier Algorithms for Constrained Non-Convex Optimization
• ICLR 2024Bayesian Coreset Optimization for Personalized Federated Learning
• CVPR 2024Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization
• NeurIPS 2023$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning
• ICML 2023Buying Information for Stochastic Optimization
• ICLR 2023Alternating Differentiation for Optimization Layers
• CVPR 2023Visual-Language Prompt Tuning With Knowledge-Guided Context Optimization
• NeurIPS 2026Adaptive Conditional Gradient Sliding: Projection-Free and Line-Search-Free Acceleration
• ICML 2026Riemannian Optimization for Fair Spectral Clustering
• ICLR 2026Gradient-Based Diversity Optimization with Differentiable Top-$k$ Objective
• CVPR 2026Its Never Too Late Noise Optimization for Collapse Recovery in

全部深度学习 · optimization论文

共 34 篇，第 1 / 1 页

1. ICLR 2023A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.
2. ICLR 2023Accelerated Single-Call Methods for Constrained Min-Max Optimization
3. ICLR 2023Alternating Differentiation for Optimization Layers
4. ICLR 2023Approximate Vanishing Ideal Computations at Scale
5. ICLR 2023Asynchronous Distributed Bilevel Optimization
6. ICLR 2023BALTO: fast tensor program optimization with diversity-based active learning
7. ICLR 2023Behavior Proximal Policy Optimization
8. ICLR 2023Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition
9. ICLR 2023Betty: An Automatic Differentiation Library for Multilevel Optimization
10. ICLR 2023Breaking Correlation Shift via Conditional Invariant Regularizer
11. ICLR 2023Depth Separation with Multilayer Mean-Field Networks
12. ICLR 2023Discovering Evolution Strategies via Meta-Black-Box Optimization
13. ICLR 2023Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality
14. ICLR 2023Distributionally Robust Recourse Action
15. ICLR 2023Equivariance-aware Architectural Optimization of Neural Networks
16. ICLR 2023Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation
17. ICLR 2023Faster federated optimization under second-order similarity
18. ICLR 2023Fisher-Legendre (FishLeg) optimization of deep neural networks
19. ICLR 2023Globally Optimal Training of Neural Networks with Threshold Activation Functions
20. ICLR 2023Hyperparameter Optimization through Neural Network Partitioning
21. ICLR 2023Improving Object-centric Learning with Query Optimization
22. ICLR 2023Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
23. ICLR 2023Parallel Deep Neural Networks Have Zero Duality Gap
24. ICLR 2023Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
25. ICLR 2023Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
26. ICLR 2023Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
27. ICLR 2023RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates
28. ICLR 2023Robust Scheduling with GFlowNets
29. ICLR 2023SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization
30. ICLR 2023Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
31. ICLR 2023The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
32. ICLR 2023Topology-aware Robust Optimization for Out-of-Distribution Generalization
33. ICLR 2023Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
34. ICLR 2023Unsupervised Learning for Combinatorial Optimization Needs Meta Learning

常见问题

2023–2026 年四大会议一共有多少篇深度学习 · optimization论文？

共 953 篇，按年份分别是 2023 年 256 篇、2024 年 294 篇、2025 年 163 篇、2026 年 240 篇。

NeurIPS 2026 有多少篇深度学习 · optimization论文？

NeurIPS 2026 有 103 篇深度学习 · optimization论文，上一届是 62 篇。

ICLR 2026 有多少篇深度学习 · optimization论文？

ICLR 2026 有 44 篇深度学习 · optimization论文，上一届是 51 篇。

ICML 2026 有多少篇深度学习 · optimization论文？

ICML 2026 有 86 篇深度学习 · optimization论文，上一届是 44 篇。

CVPR 2026 有多少篇深度学习 · optimization论文？

CVPR 2026 有 7 篇深度学习 · optimization论文，上一届是 6 篇。

哪个会议的深度学习 · optimization论文最多？

NeurIPS，2023–2026 年共 500 篇。