理论 · game theory论文趋势 2023–2026
学习理论及相关:game_theory
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 384 篇被归入该主题的论文。
主要结论
- 理论 · game theory论文从 2023 年的 34 篇增长到 2026 年的 126 篇,三年间扩大到约 3.7 倍。
- NeurIPS 是发理论 · game theory论文最多的会议,2023–2026 年共 183 篇,占四个会议总量的 48%。
- 交叉方向里涨得最快的是机制设计:同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 19 篇。
- 在「理论与统计」的 5 个主题里,它的 2026 年论文数排第 4;同组增长最快的理论 · learning theory是 5.6 倍,理论 · game theory是 3.7 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 14 | 13 | 4 | 3 | 34 |
| 2024 | 76 | 17 | 13 | 1 | 107 |
| 2025 | 49 | 19 | 47 | 2 | 117 |
| 2026 | 44 | 20 | 61 | 1 | 126 |
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 Mechanistic Investigation of Theory of Mind in a Large Language Model
- ICML 2026(Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games
- ICLR 2026Infinite Horizon Markov Economies
- CVPR 2026Tackling Model Bias via Game-theoretic Multi-agent Collaboration Framework for Hateful
- NeurIPS 2025AlphaBeta is not as good as you think: a simple random games model for a better analysis of deterministic game-solving algorithms
- ICML 2025A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games
- ICLR 2025A Theory of Initialisation's Impact on Specialisation
- CVPR 2025Dynamic Stereotype Theory Induced Micro-expression Recognition with Oriented Deformation
- NeurIPS 2024Accelerated Regularized Learning in Finite N-Person Games
- ICML 2024A Statistical Theory of Regularization-Based Continual Learning
- ICLR 2024Generative Adversarial Equilibrium Solvers
- CVPR 2024GlitchBench: Can Large Multimodal Models Detect Video Game Glitches?
- NeurIPS 2023$\varepsilon$-fractional core stability in Hedonic Games.
- ICML 2023Auxiliary Learning as an Asymmetric Bargaining Game
- ICLR 2023Computational Language Acquisition with Theory of Mind
- CVPR 2023Improving Generalization With Domain Convex Game
- NeurIPS 2026Agentic AI Design Should be Mediated to Promote Social Welfare
- ICML 2026A Game-Theoretic Analysis of Attacks on Large Language Models via Compositional Skills
- ICLR 2026On Universality of Deep Equivariant Networks
- NeurIPS 2025Approximation theory for 1-Lipschitz ResNets
全部理论 · game theory论文
共 183 篇,第 3 / 4 页
- NeurIPS 2024Bayesian Strategic Classification
- NeurIPS 2024Bias Detection via Signaling
- NeurIPS 2024Carrot and Stick: Eliciting Comparison Data and Beyond
- NeurIPS 2024Computational Aspects of Bayesian Persuasion under Approximate Best Response
- NeurIPS 2024Contracting with a Learning Agent
- NeurIPS 2024Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
- NeurIPS 2024Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis
- NeurIPS 2024Convergence of No-Swap-Regret Dynamics in Self-Play
- NeurIPS 2024Credal Learning Theory
- NeurIPS 2024Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions
- NeurIPS 2024Distribution Learning with Valid Outputs Beyond the Worst-Case
- NeurIPS 2024Dueling over Dessert, Mastering the Art of Repeated Cake Cutting
- NeurIPS 2024EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas
- NeurIPS 2024Efficiency of the First-Price Auction in the Autobidding World
- NeurIPS 2024Efficient $\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games
- NeurIPS 2024Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game
- NeurIPS 2024Extensive-Form Game Solving via Blackwell Approachability on Treeplexes
- NeurIPS 2024Fair Allocation in Dynamic Mechanism Design
- NeurIPS 2024Fairness and Efficiency in Online Class Matching
- NeurIPS 2024Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
- NeurIPS 2024GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps
- NeurIPS 2024GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations
- NeurIPS 2024Hardness of Learning Neural Networks under the Manifold Hypothesis
- NeurIPS 2024Honor Among Bandits: No-Regret Learning for Online Fair Division
- NeurIPS 2024How to Boost Any Loss Function
- NeurIPS 2024Incentivizing Quality Text Generation via Statistical Contracts
- NeurIPS 2024Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling
- NeurIPS 2024Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions
- NeurIPS 2024Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem
- NeurIPS 2024Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random
- NeurIPS 2024Learning Optimal Tax Design in Nonatomic Congestion Games
- NeurIPS 2024Learning Social Welfare Functions
- NeurIPS 2024Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
- NeurIPS 2024Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality
- NeurIPS 2024Learning via Surrogate PAC-Bayes
- NeurIPS 2024Local and Adaptive Mirror Descents in Extensive-Form Games
- NeurIPS 2024Lookback Prophet Inequalities
- NeurIPS 2024MAC Advice for facility location mechanism design
- NeurIPS 2024Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models
- NeurIPS 2024Mechanism design augmented with output advice
- NeurIPS 2024Monoculture in Matching Markets
- NeurIPS 2024Multi-Winner Reconfiguration
- NeurIPS 2024No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation
- NeurIPS 2024No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests
- NeurIPS 2024On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory
- NeurIPS 2024On Tractable $\Phi$-Equilibria in Non-Concave Games
- NeurIPS 2024Online Bayesian Persuasion Without a Clue
- NeurIPS 2024Online Control in Population Dynamics
- NeurIPS 2024Optimal Parallelization of Boosting
- NeurIPS 2024Paths to Equilibrium in Games
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 查理论 · game theory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": "theory-game-theory"}
常见问题
- 2023–2026 年四大会议一共有多少篇理论 · game theory论文?
- 共 384 篇,按年份分别是 2023 年 34 篇、2024 年 107 篇、2025 年 117 篇、2026 年 126 篇。
- NeurIPS 2026 有多少篇理论 · game theory论文?
- NeurIPS 2026 有 44 篇理论 · game theory论文,上一届是 49 篇。
- ICLR 2026 有多少篇理论 · game theory论文?
- ICLR 2026 有 20 篇理论 · game theory论文,上一届是 19 篇。
- ICML 2026 有多少篇理论 · game theory论文?
- ICML 2026 有 61 篇理论 · game theory论文,上一届是 47 篇。
- CVPR 2026 有多少篇理论 · game theory论文?
- CVPR 2026 有 1 篇理论 · game theory论文,上一届是 2 篇。
- 哪个会议的理论 · game theory论文最多?
- NeurIPS,2023–2026 年共 183 篇。