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 175 篇,第 1 / 4 页
- NeurIPS 2026$\text{PartConcepts}$: A Unified Mechanism for Fine-Grained Part Localization and Generation
- NeurIPS 2026$R^2E$: A Role-driven Reward Evolutionary Framework for Automated Reward Function Design
- NeurIPS 2026A Generalized Tikhonov Layer for Interpretable-by-design Graph Neural Networks
- NeurIPS 2026A Unified Framework for Uniform-Price Resource Allocation Mechanisms
- NeurIPS 2026Agentic Neural Architecture Search
- NeurIPS 2026Agree to Disagree: Multimodal Autonomous Negotiation and Calibration for Entity Representation Learning
- NeurIPS 2026Algorithmic Impact Reveals the Hidden Structure of Alignment
- NeurIPS 2026Aligning AI Teams
- NeurIPS 2026All-Addition Spiking Diffusion Models with Attention Enhancement
- NeurIPS 2026AlloGen: Conformation-Selective Binder Design with Differential State Scoring
- NeurIPS 2026An Equivariance Principle for Optimizer Design: Symmetry-Compatible Updates for Embeddings, LM Heads, and MoE Routers
- NeurIPS 2026Analyzing Learning-Dynamics Across Loss and Prediction Choices for Diffusion Models
- NeurIPS 2026Archimedean Copula Inference via Taylor-Mode AD
- NeurIPS 2026Assign and Add: A Mechanistic Study of Compositional Arithmetic
- NeurIPS 2026Attention Sinks and Outliers in Attention Residuals
- NeurIPS 2026AutoManifold: Agentic Design of Data Visualisation Algorithms via Manifold Embedding
- NeurIPS 2026BA-T: An Iterative Transformer for Two-View Bundle Adjustment
- NeurIPS 2026Bayesian Causal Experimental Design for CATE Estimation under Noncompliance
- NeurIPS 2026Benchmarks Design under Data Scarcity: From Coarse Labels to Diagnostic Evaluation of Biosynthetic Gene Cluster Models
- NeurIPS 2026Benign Reinforcement Learning Can Amplify Latent Backdoors
- NeurIPS 2026Best Arm Identification in Generalized Linear Bandits via Hybrid Feedback
- NeurIPS 2026Beyond ICA: Identifiability by Symmetry Breaking
- NeurIPS 2026Beyond MMSE: Enhancing PnP Restoration with ProxiMAP
- NeurIPS 2026Block Sphere Vector Quantization
- NeurIPS 2026Bonobo: Efficient Library-Scale Generation for De Novo Antibody Design
- NeurIPS 2026Bootstrapped Bipartite Actor-Critic for Diffusion RL
- NeurIPS 2026Bug or Feature$^2$: Weight Drift, Activation Sparsity, and Spikes
- NeurIPS 2026Can Hybrid-Parallel Planning Support Alternating Model–Strategy Design? Dependency-Keyed Per-Layer Primitives for Re-Planning
- NeurIPS 2026CANDO: Cooperative Agentic Network for Layout Design Optimization
- NeurIPS 2026Cauchy Scientific Networks: Loss–Architecture Alignment and Its Limit
- NeurIPS 2026CHARM+: Cross-Hardware Attention with Re-Merge Multistream Mechanism
- NeurIPS 2026Cluster with Auctions for Vector Search
- NeurIPS 2026Coherence Mechanisms for Provable Self-Improvement
- NeurIPS 2026CompactAttention: Accelerating Chunked Prefill with Block-Union KV Selection
- NeurIPS 2026Computational Dynamic Mechanism Design
- NeurIPS 2026Continuous-depth Deep Gaussian Processes
- NeurIPS 2026Convergence of Near-Linear Width ReLU Networks with Unbalanced Initialization
- NeurIPS 2026Decoding the Critique Mechanism in Large Reasoning Models
- NeurIPS 2026Deep Double Q-learning
- NeurIPS 2026DeltaMomentum: A Key-Value based Anisotropic Momentum Update via Delta Rule
- NeurIPS 2026Detect Anything in Graphic Design: Element-Level Rewards for Autoregressive Detection
- NeurIPS 2026Differentiating Network Design Objectives for Balancing Cost and Distance
- NeurIPS 2026Disentanglement as Identifiable Pushforward Factorisation
- NeurIPS 2026Distribution Free Fourier Sparsity Testing
- NeurIPS 2026Does Weight Decay Enhance Training Stability?
- NeurIPS 2026EGCA: A Spectral Perspective on Forward Process Design in Diffusion Models
- NeurIPS 2026Epigenomics-Guided Flow Matching for 3D Genome Super-Resolution
- NeurIPS 2026Ergodic Trajectory Design by Learned Pushforward Maps: Provable Coverage via Conditional Flow Matching
- NeurIPS 2026EvoDiagram: Agentic Editable Diagram Creation via Design Expertise Evolution
- NeurIPS 2026Explaining and Preventing Alignment Collapse in Iterative RLHF
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。