循环记忆论文趋势 2023–2026

主要结论

• 循环记忆论文从 2023 年的 45 篇增长到 2026 年的 172 篇，三年间扩大到约 3.8 倍。
• NeurIPS 是发循环记忆论文最多的会议，2023–2026 年共 186 篇，占四个会议总量的 45%。
• 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 0 篇增至 2026 年的 15 篇。
• 在「长上下文与记忆」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的检索记忆是 6.6 倍，循环记忆是 3.8 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 2026Approximate Memory Suffices for Universal Approximation with State Space Models
• ICML 2026An Algebraic View of the Expressivity of Recurrent Language Models
• ICLR 2026Exploring State-Space Models for Data-Specific Neural Representations
• CVPR 2026Coupling Liquid Time-Constant Encoders with Modern Hopfield Memory
• NeurIPS 2025Bridging Expressivity and Scalability with Adaptive Unitary SSMs
• ICML 2025Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference
• ICLR 2025Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models
• CVPR 2025Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy
• NeurIPS 2024Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
• ICML 2024Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks
• ICLR 2024A 2-Dimensional State Space Layer for Spatial Inductive Bias
• CVPR 2024GenFlow: Generalizable Recurrent Flow for 6D Pose Refinement of Novel Objects
• NeurIPS 2023Hypothesis Selection with Memory Constraints
• ICML 2023A Picture of the Space of Typical Learnable Tasks
• ICLR 2023Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
• CVPR 2023Bilateral Memory Consolidation for Continual Learning
• NeurIPS 2026Commutator Memory: Sparse, Path-Local Reading and Steering in Language Models
• ICML 2026Do Transformers Need Three Projections? Systematic Study of QKV Variants
• ICLR 2026On the Expressiveness of State Space Models via Temporal Logics
• CVPR 2026DREAM Document Recognition with Explicit Adaptive Memory

全部循环记忆论文

共 20 篇，第 1 / 1 页

1. ICLR 2025Associative memory and dead neurons
2. ICLR 2025Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models
3. ICLR 2025Demystifying the Token Dynamics of Deep Selective State Space Models
4. ICLR 2025Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks
5. ICLR 2025From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics
6. ICLR 2025Gated Delta Networks: Improving Mamba2 with Delta Rule
7. ICLR 2025HOPE for a Robust Parameterization of Long-memory State Space Models
8. ICLR 2025Jamba: Hybrid Transformer-Mamba Language Models
9. ICLR 2025Lipschitz Bandits in Optimal Space
10. ICLR 2025Locally Connected Echo State Networks for Time Series Forecasting
11. ICLR 2025MIRACLE 3D: Memory-efficient Integrated Robust Approach for Continual Learning on 3D Point Clouds via Shape Model Construction
12. ICLR 2025On the Benefits of Memory for Modeling Time-Dependent PDEs
13. ICLR 2025Oscillatory State-Space Models
14. ICLR 2025Quamba: A Post-Training Quantization Recipe for Selective State Space Models
15. ICLR 2025Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
16. ICLR 2025State Space Models are Provably Comparable to Transformers in Dynamic Token Selection
17. ICLR 2025Towards Continuous Reuse of Graph Models via Holistic Memory Diversification
18. ICLR 2025Tuning Frequency Bias of State Space Models
19. ICLR 2025Ultra-Sparse Memory Network
20. ICLR 2025Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues

常见问题

2023–2026 年四大会议一共有多少篇循环记忆论文？

共 416 篇，按年份分别是 2023 年 45 篇、2024 年 82 篇、2025 年 117 篇、2026 年 172 篇。

NeurIPS 2026 有多少篇循环记忆论文？

NeurIPS 2026 有 73 篇循环记忆论文，上一届是 61 篇。

ICLR 2026 有多少篇循环记忆论文？

ICLR 2026 有 35 篇循环记忆论文，上一届是 20 篇。

ICML 2026 有多少篇循环记忆论文？

ICML 2026 有 43 篇循环记忆论文，上一届是 16 篇。

CVPR 2026 有多少篇循环记忆论文？

CVPR 2026 有 21 篇循环记忆论文，上一届是 20 篇。

哪个会议的循环记忆论文最多？

NeurIPS，2023–2026 年共 186 篇。