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

186 papers, page 3 of 4

101. NeurIPS 2025Memory by accident: a theory of learning as a byproduct of network stabilization
102. NeurIPS 2025Memory Mosaics at scale
103. NeurIPS 2025Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains
104. NeurIPS 2025Memory-Enhanced Neural Solvers for Routing Problems
105. NeurIPS 2025Metric Automata Theory: A Unifying Theory of RNNs
106. NeurIPS 2025Nested Learning: The Illusion of Deep Learning Architectures
107. NeurIPS 2025Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks
108. NeurIPS 2025On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
109. NeurIPS 2025Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention
110. NeurIPS 2025PASS: Path-selective State Space Model for Event-based Recognition
111. NeurIPS 2025Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
112. NeurIPS 2025Predictability Enables Parallelization of Nonlinear State Space Models
113. NeurIPS 2025Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs
114. NeurIPS 2025Recurrent Memory for Online Interdomain Gaussian Processes
115. NeurIPS 2025Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians
116. NeurIPS 2025Revisiting Bi-Linear State Transitions in Recurrent Neural Networks
117. NeurIPS 2025Revisiting Glorot Initialization for Long-Range Linear Recurrences
118. NeurIPS 2025Robust Ego-Exo Correspondence with Long-Term Memory
119. NeurIPS 2025Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection
120. NeurIPS 2025Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling
121. NeurIPS 2025Scaling Up Parameter Generation: A Recurrent Diffusion Approach
122. NeurIPS 2025Shaping Sequence Attractor Schema in Recurrent Neural Networks
123. NeurIPS 2025Skill-Driven Neurosymbolic State Abstractions
124. NeurIPS 2025Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks
125. NeurIPS 2025SpectraLDS: Provable Distillation for Linear Dynamical Systems
126. NeurIPS 2025Steering Information Utility in Key-Value Memory for Language Model Post-Training
127. NeurIPS 2025STree: Speculative Tree Decoding for Hybrid State Space Models
128. NeurIPS 2025Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models
129. NeurIPS 2025Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain
130. NeurIPS 2025The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels
131. NeurIPS 2025Uncovering the Spectral Bias in Diagonal State Space Models
132. NeurIPS 2025Unfolding the Black Box of Recurrent Neural Networks for Path Integration
133. NeurIPS 2025WaLRUS: Wavelets for Long range Representation Using State Space Methods
134. NeurIPS 2025xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
135. NeurIPS 2024Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
136. NeurIPS 2024B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory
137. NeurIPS 2024Controlled maximal variability along with reliable performance in recurrent neural networks
138. NeurIPS 2024Coupled Mamba: Enhanced Multimodal Fusion with Coupled State Space Model
139. NeurIPS 2024Critically Assessing the State of the Art in Neural Network Verification
140. NeurIPS 2024ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction
141. NeurIPS 2024Expanding Sparse Tuning for Low Memory Usage
142. NeurIPS 2024Exploring Adversarial Robustness of Deep State Space Models
143. NeurIPS 2024Feedback control guides credit assignment in recurrent neural networks
144. NeurIPS 2024Gated Inference Network: Inference and Learning State-Space Models
145. NeurIPS 2024Geometry of naturalistic object representations in recurrent neural network models of working memory
146. NeurIPS 2024Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems
147. NeurIPS 2024Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers
148. NeurIPS 2024Inference of Neural Dynamics Using Switching Recurrent Neural Networks
149. NeurIPS 2024MambaLRP: Explaining Selective State Space Sequence Models
150. NeurIPS 2024Memory-Efficient LLM Training with Online Subspace Descent

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.