机制设计论文趋势 2023–2026
拍卖与机制
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,037 篇被归入该主题的论文。
主要结论
- 机制设计论文从 2023 年的 140 篇增长到 2026 年的 426 篇，三年间扩大到约 3.0 倍。
- NeurIPS 是发机制设计论文最多的会议，2023–2026 年共 394 篇，占四个会议总量的 38%。
- 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 5 篇增至 2026 年的 42 篇。
- 在「博弈与规划」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的经典规划是 3.3 倍，机制设计是 3.0 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 42 | 34 | 35 | 29 | 140 |
| 2024 | 69 | 25 | 67 | 39 | 200 |
| 2025 | 108 | 58 | 65 | 40 | 271 |
| 2026 | 175 | 65 | 128 | 58 | 426 |
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 Generalized Tikhonov Layer for Interpretable-by-design Graph Neural Networks
- ICML 2026Affine-Scaled Attention: Towards Flexible and Stable Transformer Attention
- ICLR 2026Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation
- CVPR 2026FEAT Fashion Editing and Try-On from Any Design
- NeurIPS 2025A Closer Look at Graph Transformers: Cross-Aggregation and Beyond
- ICML 2025Benign Overfitting in Token Selection of Attention Mechanism
- ICLR 2025AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning
- CVPR 2025A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging
- NeurIPS 2024AFBench: A Large-scale Benchmark for Airfoil Design
- ICML 2024CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
- ICLR 2024Adaptive Instrument Design for Indirect Experiments
- CVPR 2024InceptionNeXt: When Inception Meets ConvNeXt
- NeurIPS 2023An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions
- ICML 2023AbODE: Ab initio antibody design using conjoined ODEs
- ICLR 2023Conditional Antibody Design as 3D Equivariant Graph Translation
- CVPR 2023Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization
- NeurIPS 2026A Unified Framework for Uniform-Price Resource Allocation Mechanisms
- ICML 2026Anatomy of Massive Activations and Attention Sinks
- ICLR 2026How Muon’s Spectral Design Benefits Generalization: A Study on Imbalanced Data
- CVPR 2026Parallax to Align Them All An OmniParallax Attention Mechanism for
全部机制设计论文
共 166 篇，第 4 / 4 页
- CVPR 2023High-Frequency Stereo Matching Network
- CVPR 2023Implicit Diffusion Models for Continuous Super-Resolution
- CVPR 2023Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level
- CVPR 2023Interactive Cartoonization With Controllable Perceptual Factors
- CVPR 2023Learning Accurate 3D Shape Based on Stereo Polarimetric Imaging
- CVPR 2023Learning To Dub Movies via Hierarchical Prosody Models
- CVPR 2023Learning Transformation-Predictive Representations for Detection and Description of Local Features
- CVPR 2023Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
- CVPR 2023Neighborhood Attention Transformer
- CVPR 2023Probing Sentiment-Oriented Pre-Training Inspired by Human Sentiment Perception Mechanism
- CVPR 2023Randomized Adversarial Training via Taylor Expansion
- CVPR 2023Role of Transients in Two-Bounce Non-Line-of-Sight Imaging
- CVPR 2023Super-Resolution Neural Operator
- CVPR 2023TryOnDiffusion: A Tale of Two UNets
- CVPR 2023Two-View Geometry Scoring Without Correspondences
- CVPR 2023Visibility Constrained Wide-Band Illumination Spectrum Design for Seeing-in-the-Dark
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 查机制设计在 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": "negotiation-and-mechanism"}
常见问题
- 2023–2026 年四大会议一共有多少篇机制设计论文？
- 共 1,037 篇，按年份分别是 2023 年 140 篇、2024 年 200 篇、2025 年 271 篇、2026 年 426 篇。
- NeurIPS 2026 有多少篇机制设计论文？
- NeurIPS 2026 有 175 篇机制设计论文，上一届是 108 篇。
- ICLR 2026 有多少篇机制设计论文？
- ICLR 2026 有 65 篇机制设计论文，上一届是 58 篇。
- ICML 2026 有多少篇机制设计论文？
- ICML 2026 有 128 篇机制设计论文，上一届是 65 篇。
- CVPR 2026 有多少篇机制设计论文？
- CVPR 2026 有 58 篇机制设计论文，上一届是 40 篇。
- 哪个会议的机制设计论文最多？
- NeurIPS，2023–2026 年共 394 篇。