机制设计论文趋势 2023–2026

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。

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 200 篇，第 3 / 4 页

101. ICML 2024Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning
102. ICML 2024Nesting Particle Filters for Experimental Design in Dynamical Systems
103. ICML 2024Neural NeRF Compression
104. ICML 2024Neural-Kernel Conditional Mean Embeddings
105. ICML 2024On the Nonlinearity of Layer Normalization
106. ICML 2024On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective
107. ICML 2024Partially Stochastic Infinitely Deep Bayesian Neural Networks
108. ICML 2024PASOA- PArticle baSed Bayesian Optimal Adaptive design
109. ICML 2024Position: Building Guardrails for Large Language Models Requires Systematic Design
110. ICML 2024PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching
111. ICML 2024Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
112. ICML 2024Privacy Preserving Adaptive Experiment Design
113. ICML 2024Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
114. ICML 2024Projecting Molecules into Synthesizable Chemical Spaces
115. ICML 2024Prompting a Pretrained Transformer Can Be a Universal Approximator
116. ICML 2024Receptive Fields As Experts in Convolutional Neural Architectures
117. ICML 2024Refining Minimax Regret for Unsupervised Environment Design
118. ICML 2024Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas
119. ICML 2024Replicable Learning of Large-Margin Halfspaces
120. ICML 2024RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
121. ICML 2024Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup
122. ICML 2024Self-attention Networks Localize When QK-eigenspectrum Concentrates
123. ICML 2024Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks
124. ICML 2024Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization
125. ICML 2024Stochastic Bandits with ReLU Neural Networks
126. ICML 2024Structure-based drug design by denoising voxel grids
127. ICML 2024Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
128. ICML 2024SurfPro: Functional Protein Design Based on Continuous Surface
129. ICML 2024The Pitfalls of Next-Token Prediction
130. ICML 2024Unmasking Vulnerabilities: Cardinality Sketches under Adaptive Inputs
131. ICML 2024Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity
132. NeurIPS 2024$\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
133. NeurIPS 2024A theoretical design of concept sets: improving the predictability of concept bottleneck models
134. NeurIPS 2024Accelerating ERM for data-driven algorithm design using output-sensitive techniques
135. NeurIPS 2024Active learning of neural population dynamics using two-photon holographic optogenetics
136. NeurIPS 2024Adaptive Experimentation When You Can't Experiment
137. NeurIPS 2024AFBench: A Large-scale Benchmark for Airfoil Design
138. NeurIPS 2024Amortized Bayesian Experimental Design for Decision-Making
139. NeurIPS 2024An Analysis of Elo Rating Systems via Markov Chains
140. NeurIPS 2024AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
141. NeurIPS 2024Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient
142. NeurIPS 2024Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency
143. NeurIPS 2024Average gradient outer product as a mechanism for deep neural collapse
144. NeurIPS 2024Bayesian Adaptive Calibration and Optimal Design
145. NeurIPS 2024Carrot and Stick: Eliciting Comparison Data and Beyond
146. NeurIPS 2024Contextual Bilevel Reinforcement Learning for Incentive Alignment
147. NeurIPS 2024Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
148. NeurIPS 2024Data Acquisition via Experimental Design for Data Markets
149. NeurIPS 2024Deep Submodular Peripteral Networks
150. NeurIPS 2024Detecting and Measuring Confounding Using Causal Mechanism Shifts

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。