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 394 篇,第 7 / 8 页
- NeurIPS 2024Deep Submodular Peripteral Networks
- NeurIPS 2024Detecting and Measuring Confounding Using Causal Mechanism Shifts
- NeurIPS 2024DOFEN: Deep Oblivious Forest ENsemble
- NeurIPS 2024Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks
- NeurIPS 2024Efficiency of the First-Price Auction in the Autobidding World
- NeurIPS 2024Evaluating the design space of diffusion-based generative models
- NeurIPS 2024Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
- NeurIPS 2024Fair Allocation in Dynamic Mechanism Design
- NeurIPS 2024Fast Proxy Experiment Design for Causal Effect Identification
- NeurIPS 2024Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with Pruning
- NeurIPS 2024Full-Atom Peptide Design with Geometric Latent Diffusion
- NeurIPS 2024Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming
- NeurIPS 2024Generalized Linear Bandits with Limited Adaptivity
- NeurIPS 2024Generating Highly Designable Proteins with Geometric Algebra Flow Matching
- NeurIPS 2024Gliding over the Pareto Front with Uniform Designs
- NeurIPS 2024Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability
- NeurIPS 2024Identifying General Mechanism Shifts in Linear Causal Representations
- NeurIPS 2024IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents
- NeurIPS 2024Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
- NeurIPS 2024Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
- NeurIPS 2024Knowledge Circuits in Pretrained Transformers
- NeurIPS 2024Learning Optimal Tax Design in Nonatomic Congestion Games
- NeurIPS 2024Learning Superconductivity from Ordered and Disordered Material Structures
- NeurIPS 2024MAC Advice for facility location mechanism design
- NeurIPS 2024Mechanism design augmented with output advice
- NeurIPS 2024MeLLoC: Lossless Compression with High-order Mechanism Learning
- NeurIPS 2024Molecule Design by Latent Prompt Transformer
- NeurIPS 2024Neglected Hessian component explains mysteries in sharpness regularization
- NeurIPS 2024NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation
- NeurIPS 2024NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design
- NeurIPS 2024No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices
- NeurIPS 2024On the Computational Complexity of Private High-dimensional Model Selection
- NeurIPS 2024On the Role of Attention Masks and LayerNorm in Transformers
- NeurIPS 2024Optimal Batched Best Arm Identification
- NeurIPS 2024Optimal Design for Human Preference Elicitation
- NeurIPS 2024Optimization Algorithm Design via Electric Circuits
- NeurIPS 2024Plant-and-Steal: Truthful Fair Allocations via Predictions
- NeurIPS 2024PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond
- NeurIPS 2024ProTransformer: Robustify Transformers via Plug-and-Play Paradigm
- NeurIPS 2024Qualitative Mechanism Independence
- NeurIPS 2024Randomized Strategic Facility Location with Predictions
- NeurIPS 2024Randomized Truthful Auctions with Learning Agents
- NeurIPS 2024Representation Noising: A Defence Mechanism Against Harmful Finetuning
- NeurIPS 2024Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
- NeurIPS 2024Strategic Linear Contextual Bandits
- NeurIPS 2024Targeted Sequential Indirect Experiment Design
- NeurIPS 2024Truthful High Dimensional Sparse Linear Regression
- NeurIPS 2024Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification
- NeurIPS 2024Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms
- NeurIPS 2024Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes
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。