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 3 of 9

101. NeurIPS 2026A Hebbian Recurrent Neural Network Explains the Hierarchical Geometry of Sequence Memory
102. NeurIPS 2026Approximate Memory Suffices for Universal Approximation with State Space Models
103. NeurIPS 2026Attend Locally, Remember Linearly: Linear Attention as Cross-Frame Memory for Autoregressive Video Diffusion
104. NeurIPS 2026Backdoor Channels Hidden in Latent Space: Cryptographic Undetectability in Modern Neural Networks
105. NeurIPS 2026C3: Long-Horizon Character Consistency via Causal-Continuous State Dynamics and Memory Rewriting
106. NeurIPS 2026Commutator Memory: Sparse, Path-Local Reading and Steering in Language Models
107. NeurIPS 2026Consistent 3D Surface Flow Model with Global State
108. NeurIPS 2026Context as Low-Rank Weights: Bounded Parametric Dynamic Memory for Unbounded Context
109. NeurIPS 2026Cortically-Resolved Recurrent Architecture for fMRI
110. NeurIPS 2026Depth-Recurrent Attention Mixtures: Giving Latent Reasoning the Attention it Deserves
111. NeurIPS 2026Dynamic Optimistic Constrained OCO with Memory via Delay Equivalence
112. NeurIPS 2026FacePhys: State of the Heart Learning
113. NeurIPS 2026Fault Tolerance in Transformers Favors Output Alignment over Hidden-State Consistency
114. NeurIPS 2026Flow-Guided Target-Space Alignment via Path Consistency
115. NeurIPS 2026Foveal-Mamba: Inside-Out Ring Scanning with Recurrent Offset Prediction for Visual State Space Models
116. NeurIPS 2026Fractional State Space Transition for Long Sequence Modeling
117. NeurIPS 2026FrameVGGT: Coherence-Preserving Memory for Bounded Streaming Geometry
118. NeurIPS 2026Free energy Estimation on Any State Space
119. NeurIPS 2026FRInGe: Distribution-Space Integrated Gradients with Fisher–Rao Geometry
120. NeurIPS 2026From sequences to schemas: low-rank recurrent dynamics underlie abstract relational representations
121. NeurIPS 2026GEAR: Generator-Adaptive State Space Models for Associative Recall
122. NeurIPS 2026GeoMamba: Geometry-Aware State Space Modeling for Image Restoration
123. NeurIPS 2026GPU Hierarchy Meets Structured Matrices: Fast Algorithms for State-Space Models
124. NeurIPS 2026HaM-World: Soft-Hamiltonian World Models with Selective Memory for Planning
125. NeurIPS 2026HeMeR: Heterogeneous Memory Reconciliation for Embodied Agents via Structured KV Reuse
126. NeurIPS 2026Hit Expansion via Localized Exploration of Synthesizable Chemical Space
127. NeurIPS 2026How does feature learning change the function space evolution?
128. NeurIPS 2026Improved State Mixing in Higher-order and Block Diagonal Linear Recurrent Networks
129. NeurIPS 2026Improved Weakly Supervised Semantic Segmentation with A Relationally Optimized Prototype Memory Bank Framework
130. NeurIPS 2026Inferring how internal brain state shapes neural responses with state-dependent diffusion models
131. NeurIPS 2026Learning interpretable Schur forms of recurrent weight matrices
132. NeurIPS 2026Learning Interpretable Switching Dynamics in Shared Neural-Behavioral Latent Space
133. NeurIPS 2026Leveraging Dale’s Principle as an Inductive Bias in Recurrent Neural Networks
134. NeurIPS 2026LinearARD: Linear-Memory Attention Distillation for RoPE Restoration
135. NeurIPS 2026LogSig-SSM: Time-Series Modelling with Multi-Scale Log-Signature Compression for State-Space Models
136. NeurIPS 2026Loss is Not Behavior: A Unified Output-Space Analysis of Gradient-Based Machine Unlearning
137. NeurIPS 2026MaRK: Markov-adapted Recurrent Kernels for Dynamic Operator Conditioning in State Space Models
138. NeurIPS 2026MemDLM: Memory-Enhanced DLM Training
139. NeurIPS 2026Memory Determines Learning Direction: A Theory of Gradient-Based Optimization in State Space Models
140. NeurIPS 2026Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs
141. NeurIPS 2026Memory-Driven Contrastive Embedding Enhancement for Fine-Grained Open-Set Semi-Supervised Learning
142. NeurIPS 2026MemoryFusion: Cross-Temporal Memory Learning for Multimodal Video Fusion
143. NeurIPS 2026MemReg: Streaming Outdoor LiDAR Point Cloud Registration with Hybrid Memory Buffers
144. NeurIPS 2026MESSENGER: Memory-Enhanced Sequential Scene Flow Estimation via Autoregressive Next-Frame Forecasting
145. NeurIPS 2026MinMax Recurrent Neural Cascades
146. NeurIPS 2026MoME: Mixture-of-Memory Embeddings for Context-Aware Sparse Lookup
147. NeurIPS 2026MoSE3: Learning World-Space SE(3) at Every Pixel
148. NeurIPS 2026NASDAQ: Normalized Observation Space Dynamics-Augmented Q-Learning
149. NeurIPS 2026On the Importance of Gating: Memorization vs. In-Context Learning in State Space Models
150. NeurIPS 2026PatchKV: Weight Space Compensation of KV Cache

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.