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 1,037 篇,第 8 / 21 页
- NeurIPS 2026Mixture-of-Top-$k$ Attention: Efficient Attention as Scalable Fast Weights
- NeurIPS 2026Monoculture Robust Learning
- NeurIPS 2026Morpho-Temporal Decoupling: How Primate Neurons Expand Dendrites Without Losing Speed
- NeurIPS 2026Multi-Oracle Agreement Reveals the Limits of Self-Consistency Evaluation in RNA Design
- NeurIPS 2026Muon Does Not Converge on Convex Lipschitz Functions
- NeurIPS 2026Natural-Language-Guided Protein Generation for Ligand-Binding Design
- NeurIPS 2026Nearly Optimal Attention Coresets
- NeurIPS 2026Network of Theseus (Like the ship)
- NeurIPS 2026Neural Expansion: A Unified Mechanism for How Deep Neural Network Generalize
- NeurIPS 2026Neural-Corrected Operator Learning for Homogenization and Inverse Design
- NeurIPS 2026OmniMechanism Design for Human-AI Collaboration with Impressionable Minds
- NeurIPS 2026On Differentially Private Mechanisms for Linear Regression
- NeurIPS 2026On the Meta-Design of Allocation Problems
- NeurIPS 2026On the Selectivity of Generative Models in Structure-Based Drug Design
- NeurIPS 2026One Temperature to Rule Them All?
- NeurIPS 2026Optimal Linear Regression Without a Variance
- NeurIPS 2026Ordinary Least Squares as an Attention Mechanism
- NeurIPS 2026Paleoinspired Vision: From Exploring Colour Vision Evolution to Inspiring Camera Design
- NeurIPS 2026PDE-PFN: Prior-Data Fitted Neural PDE Solver
- NeurIPS 2026PieArena: Ranking and Profiling Language Agents in Realistic Negotiation Scenarios
- NeurIPS 2026Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation
- NeurIPS 2026Position Without Positional Embeddings: A Directional Mechanism in NoPE Transformers
- NeurIPS 2026Principled Design of Diffusion-based Optimizers for Inverse Problems
- NeurIPS 2026Prism Attention: Proposal-Refined Index Sharing Mechanism for Efficient LLMs Inference
- NeurIPS 2026Privacy by Postprocessing the Discrete Laplace Mechanism
- NeurIPS 2026Probe Before You Edit: Probing-Guided Molecular Optimization for LLM Agents in Structure-Based Drug Design
- NeurIPS 2026Profit Maximization in Bilateral Trade against a Smooth Adversary
- NeurIPS 2026ProteinOPD: Towards Effective and Efficient Preference Alignment for Protein Design
- NeurIPS 2026Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime
- NeurIPS 2026Refactoring Code Through Library Design
- NeurIPS 2026Regret Minimization in Single-Dimensional Contract-Design with Binary Actions
- NeurIPS 2026Resilient Semi-Supervised Inference with Heterogeneous Unlabeled Data
- NeurIPS 2026Reviewer Scores Are Not Comparable Across Research Areas in ML Peer Review
- NeurIPS 2026Richer or More Gates? Fan-In Trade-offs in Learnable Logic Circuits
- NeurIPS 2026Robust-by-Design Distributional Learning from Contaminated Samples
- NeurIPS 2026Same Function, Different Mechanism: Implementation-Local Geometry Beyond Accuracy
- NeurIPS 2026Sample Size Design for Bounds on Discrete Probabilities of Causation
- NeurIPS 2026Scattered by Design: Why Per-Output Pruning Resists Structured Compression
- NeurIPS 2026Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models
- NeurIPS 2026Selectivity and Shape in the Design of Forward-Forward Goodness Functions
- NeurIPS 2026Selectivity Makes State-Space Models Universal Sequence Approximators
- NeurIPS 2026Self-Improvement Imitation with Biologically Guided Search for Protein Design Under Oracle Budgets
- NeurIPS 2026Settling Pure Differentially Private Covariance Estimation
- NeurIPS 2026Shared-Noise Mechanisms for Verifiable Differentially Private Counting
- NeurIPS 2026SimpleEvol: Efficient Intelligence Conversion via Less Human Prior in Automated Heuristic Design
- NeurIPS 2026Simplifying Transformer-Based U-Net Neural Physics Simulators
- NeurIPS 2026Simultaneous Gradient Learning in First-Price Auctions
- NeurIPS 2026Sink vs. diagonal patterns as mechanisms for attention switch and oversmoothing prevention
- NeurIPS 2026Spherical Bayesian Experimental Design for Active View Selection in 3D Gaussian Splatting
- NeurIPS 2026Spike-to-Field Mechanisms of Turbulence-Like Dynamics in Spatial Spiking Neural Networks
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。