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 45 篇，第 1 / 1 页

1. CVPR 2023Bilateral Memory Consolidation for Continual Learning
2. CVPR 2023Color Backdoor: A Robust Poisoning Attack in Color Space
3. CVPR 2023Continual Semantic Segmentation With Automatic Memory Sample Selection
4. CVPR 2023Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder
5. CVPR 2023Efficient Movie Scene Detection Using State-Space Transformers
6. CVPR 2023Finding Geometric Models by Clustering in the Consensus Space
7. CVPR 2023Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis
8. CVPR 2023NaQ: Leveraging Narrations As Queries To Supervise Episodic Memory
9. CVPR 2023Restoration of Hand-Drawn Architectural Drawings Using Latent Space Mapping With Degradation Generator
10. CVPR 2023RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo
11. CVPR 2023SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates
12. CVPR 2023Shape-Constraint Recurrent Flow for 6D Object Pose Estimation
13. ICLR 2023Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
14. ICLR 2023Continuous-time identification of dynamic state-space models by deep subspace encoding
15. ICLR 2023Decision S4: Efficient Sequence-Based RL via State Spaces Layers
16. ICLR 2023Distilling Model Failures as Directions in Latent Space
17. ICLR 2023Encoding Recurrence into Transformers
18. ICLR 2023Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
19. ICLR 2023How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections
20. ICLR 2023Hungry Hungry Hippos: Towards Language Modeling with State Space Models
21. ICLR 2023Incremental Learning of Structured Memory via Closed-Loop Transcription
22. ICLR 2023Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
23. ICLR 2023Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
24. ICLR 2023Learning with Auxiliary Activation for Memory-Efficient Training
25. ICLR 2023Liquid Structural State-Space Models
26. ICLR 2023Memory Gym: Partially Observable Challenges to Memory-Based Agents
27. ICLR 2023Neural Networks and the Chomsky Hierarchy
28. ICLR 2023Simplicial Hopfield networks
29. ICLR 2023Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning
30. ICML 2023A Picture of the Space of Typical Learnable Tasks
31. ICML 2023DIVISION: Memory Efficient Training via Dual Activation Precision
32. ICML 2023General Sequential Episodic Memory Model
33. ICML 2023Memory-Based Meta-Learning on Non-Stationary Distributions
34. ICML 2023Orthogonality-Enforced Latent Space in Autoencoders: An Approach to Learning Disentangled Representations
35. ICML 2023Resurrecting Recurrent Neural Networks for Long Sequences
36. ICML 2023Sequence Modeling with Multiresolution Convolutional Memory
37. NeurIPS 2023Deep Equilibrium Based Neural Operators for Steady-State PDEs
38. NeurIPS 2023Hypothesis Selection with Memory Constraints
39. NeurIPS 2023Long Sequence Hopfield Memory
40. NeurIPS 2023MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
41. NeurIPS 2023On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences
42. NeurIPS 2023Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
43. NeurIPS 2023Recurrent Temporal Revision Graph Networks
44. NeurIPS 2023State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory
45. NeurIPS 2023Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity

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。