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 69 篇，第 1 / 2 页

1. NeurIPS 2024$\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
2. NeurIPS 2024A theoretical design of concept sets: improving the predictability of concept bottleneck models
3. NeurIPS 2024Accelerating ERM for data-driven algorithm design using output-sensitive techniques
4. NeurIPS 2024Active learning of neural population dynamics using two-photon holographic optogenetics
5. NeurIPS 2024Adaptive Experimentation When You Can't Experiment
6. NeurIPS 2024AFBench: A Large-scale Benchmark for Airfoil Design
7. NeurIPS 2024Amortized Bayesian Experimental Design for Decision-Making
8. NeurIPS 2024An Analysis of Elo Rating Systems via Markov Chains
9. NeurIPS 2024AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
10. NeurIPS 2024Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient
11. NeurIPS 2024Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency
12. NeurIPS 2024Average gradient outer product as a mechanism for deep neural collapse
13. NeurIPS 2024Bayesian Adaptive Calibration and Optimal Design
14. NeurIPS 2024Carrot and Stick: Eliciting Comparison Data and Beyond
15. NeurIPS 2024Contextual Bilevel Reinforcement Learning for Incentive Alignment
16. NeurIPS 2024Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
17. NeurIPS 2024Data Acquisition via Experimental Design for Data Markets
18. NeurIPS 2024Deep Submodular Peripteral Networks
19. NeurIPS 2024Detecting and Measuring Confounding Using Causal Mechanism Shifts
20. NeurIPS 2024DOFEN: Deep Oblivious Forest ENsemble
21. NeurIPS 2024Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks
22. NeurIPS 2024Efficiency of the First-Price Auction in the Autobidding World
23. NeurIPS 2024Evaluating the design space of diffusion-based generative models
24. NeurIPS 2024Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
25. NeurIPS 2024Fair Allocation in Dynamic Mechanism Design
26. NeurIPS 2024Fast Proxy Experiment Design for Causal Effect Identification
27. NeurIPS 2024Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with Pruning
28. NeurIPS 2024Full-Atom Peptide Design with Geometric Latent Diffusion
29. NeurIPS 2024Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming
30. NeurIPS 2024Generalized Linear Bandits with Limited Adaptivity
31. NeurIPS 2024Generating Highly Designable Proteins with Geometric Algebra Flow Matching
32. NeurIPS 2024Gliding over the Pareto Front with Uniform Designs
33. NeurIPS 2024Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability
34. NeurIPS 2024Identifying General Mechanism Shifts in Linear Causal Representations
35. NeurIPS 2024IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents
36. NeurIPS 2024Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
37. NeurIPS 2024Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
38. NeurIPS 2024Knowledge Circuits in Pretrained Transformers
39. NeurIPS 2024Learning Optimal Tax Design in Nonatomic Congestion Games
40. NeurIPS 2024Learning Superconductivity from Ordered and Disordered Material Structures
41. NeurIPS 2024MAC Advice for facility location mechanism design
42. NeurIPS 2024Mechanism design augmented with output advice
43. NeurIPS 2024MeLLoC: Lossless Compression with High-order Mechanism Learning
44. NeurIPS 2024Molecule Design by Latent Prompt Transformer
45. NeurIPS 2024Neglected Hessian component explains mysteries in sharpness regularization
46. NeurIPS 2024NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation
47. NeurIPS 2024NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design
48. NeurIPS 2024No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices
49. NeurIPS 2024On the Computational Complexity of Private High-dimensional Model Selection
50. NeurIPS 2024On the Role of Attention Masks and LayerNorm in Transformers

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。