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 22 篇，第 1 / 1 页

1. CVPR 2026Beyond Myopic Alignment Lookahead Optimization for Online Class-Incremental Learning
2. CVPR 2026Coverage Optimization for Camera View Selection
3. CVPR 2026Edges Compete for Trust Group Relative Edge Optimization for Building
4. CVPR 2026Its Never Too Late Noise Optimization for Collapse Recovery in
5. CVPR 2026Learnability-Driven Submodular Optimization for Active Roadside 3D Detection
6. CVPR 2026Pip-Stereo Progressive Iterations Pruner for Iterative Optimization based Stereo Matching
7. CVPR 2026TESO Online Tracking of Essential Matrix by Stochastic Optimization
8. CVPR 2025Balanced Rate-Distortion Optimization in Learned Image Compression
9. CVPR 2025CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation
10. CVPR 2025HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition
11. CVPR 2025Instance-wise Supervision-level Optimization in Active Learning
12. CVPR 2025Locally Orderless Images for Optimization in Differentiable Rendering
13. CVPR 2025PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllers
14. CVPR 2024Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization
15. CVPR 2023Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization
16. CVPR 2023Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision
17. CVPR 2023Elastic Aggregation for Federated Optimization
18. CVPR 2023LiDAR-in-the-Loop Hyperparameter Optimization
19. CVPR 2023Optimization-Inspired Cross-Attention Transformer for Compressive Sensing
20. CVPR 2023Towards Better Decision Forests: Forest Alternating Optimization
21. CVPR 2023Transformer-Based Learned Optimization
22. CVPR 2023Visual-Language Prompt Tuning With Knowledge-Guided Context Optimization

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。