Recurrent Memory papers, 2023–2026

Key findings

• Recurrent Memory went from 45 papers in 2023 to 172 in 2026, roughly 3.8x in three years.
• NeurIPS publishes the most Recurrent Memory work: 186 papers from 2023 to 2026, 45% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 0 in 2023 to 15 in 2026.
• Among the 5 topics under Long Context and Memory, it ranks #2 by 2026 paper count; the fastest grower in the group, Retrieval Memory, is up 6.6x versus 3.8x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Recurrent Memory papers

416 papers, page 4 of 9

151. NeurIPS 2026PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers
152. NeurIPS 2026PREPING: Building Agent Memory without Tasks
153. NeurIPS 2026Prospective Coding Improves Learning in Deep Continuous-Time Recurrent Networks
154. NeurIPS 2026Raven: High-Recall Sequence Modeling via Sparse Memory Routing
155. NeurIPS 2026RecMem: Recurrent Memory Compression for Long-Sequence Recommendation
156. NeurIPS 2026Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory
157. NeurIPS 2026Rethinking State Tracking in Recurrent Models Through Error Control Dynamics
158. NeurIPS 2026Rethinking the State Update Gate for Long-Sequence Recurrent 3D Reconstruction
159. NeurIPS 2026Selectivity Makes State-Space Models Universal Sequence Approximators
160. NeurIPS 2026Skipping Domain Shifts: Domain Memory Retention Enhanced Hyperspectral Single-Source Domain Generalization
161. NeurIPS 2026SLVMBench: Skill Learning from Video Memory
162. NeurIPS 2026Space Group Conditional Flow Matching
163. NeurIPS 2026Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity
164. NeurIPS 2026Spectral Quantum Memory for Implicit Neural Representations
165. NeurIPS 2026SpikeSSL: A Universal Spike Inference Framework with Dynamics-Informed State-Space Layers
166. NeurIPS 2026State Augmented Flows
167. NeurIPS 2026Statistical Mixing Guarantees for Contractive Echo State Networks
168. NeurIPS 2026StreamPhy: Streaming Inference of High-Dimensional Physical Dynamics via State Space Models
169. NeurIPS 2026Structured Sparse Memory for Recurrent Reasoning
170. NeurIPS 2026Swimba: Switch Mamba Model Scales State Space Models
171. NeurIPS 2026The State-Prediction Separation Hypothesis
172. NeurIPS 2026TIDES: Implicit Time-Awareness in Selective State Space Models
173. CVPR 2025Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy
174. CVPR 2025Continuous 3D Perception Model with Persistent State
175. CVPR 2025DefMamba: Deformable Visual State Space Model
176. CVPR 2025EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality
177. CVPR 2025Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization
178. CVPR 2025Event-based Video Super-Resolution via State Space Models
179. CVPR 2025Exploiting Temporal State Space Sharing for Video Semantic Segmentation
180. CVPR 2025GG-SSMs: Graph-Generating State Space Models
181. CVPR 2025Latent Space Imaging
182. CVPR 2025Learning Phase Distortion with Selective State Space Models for Video Turbulence Mitigation
183. CVPR 2025M3amba: Memory Mamba is All You Need for Whole Slide Image Classification
184. CVPR 2025Making Old Film Great Again: Degradation-aware State Space Model for Old Film Restoration
185. CVPR 2025Mamba-Adaptor: State Space Model Adaptor for Visual Recognition
186. CVPR 2025MambaIRv2: Attentive State Space Restoration
187. CVPR 2025MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks
188. CVPR 2025OccMamba: Semantic Occupancy Prediction with State Space Models
189. CVPR 2025Online Task-Free Continual Learning via Dynamic Expansionable Memory Distribution
190. CVPR 2025QMambaBSR: Burst Image Super-Resolution with Query State Space Model
191. CVPR 2025Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-space Diffusion
192. CVPR 2025Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic
193. ICLR 2025Associative memory and dead neurons
194. ICLR 2025Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models
195. ICLR 2025Demystifying the Token Dynamics of Deep Selective State Space Models
196. ICLR 2025Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks
197. ICLR 2025From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics
198. ICLR 2025Gated Delta Networks: Improving Mamba2 with Delta Rule
199. ICLR 2025HOPE for a Robust Parameterization of Long-memory State Space Models
200. ICLR 2025Jamba: Hybrid Transformer-Mamba Language Models

FAQ

How many Recurrent Memory papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

416 in total: 45 in 2023, 82 in 2024, 117 in 2025, 172 in 2026.

How many Recurrent Memory papers are at NeurIPS 2026?

NeurIPS 2026 has 73 Recurrent Memory papers, versus 61 the year before.

How many Recurrent Memory papers are at ICLR 2026?

ICLR 2026 has 35 Recurrent Memory papers, versus 20 the year before.

How many Recurrent Memory papers are at ICML 2026?

ICML 2026 has 43 Recurrent Memory papers, versus 16 the year before.

How many Recurrent Memory papers are at CVPR 2026?

CVPR 2026 has 21 Recurrent Memory papers, versus 20 the year before.

Which conference publishes the most Recurrent Memory papers?

NeurIPS, with 186 papers from 2023 to 2026.