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 6 of 9

251. NeurIPS 2025L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling
252. NeurIPS 2025Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
253. NeurIPS 2025Mamba Modulation: On the Length Generalization of Mamba Models
254. NeurIPS 2025Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks
255. NeurIPS 2025Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning
256. NeurIPS 2025Memory by accident: a theory of learning as a byproduct of network stabilization
257. NeurIPS 2025Memory Mosaics at scale
258. NeurIPS 2025Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains
259. NeurIPS 2025Memory-Enhanced Neural Solvers for Routing Problems
260. NeurIPS 2025Metric Automata Theory: A Unifying Theory of RNNs
261. NeurIPS 2025Nested Learning: The Illusion of Deep Learning Architectures
262. NeurIPS 2025Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks
263. NeurIPS 2025On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
264. NeurIPS 2025Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention
265. NeurIPS 2025PASS: Path-selective State Space Model for Event-based Recognition
266. NeurIPS 2025Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
267. NeurIPS 2025Predictability Enables Parallelization of Nonlinear State Space Models
268. NeurIPS 2025Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs
269. NeurIPS 2025Recurrent Memory for Online Interdomain Gaussian Processes
270. NeurIPS 2025Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians
271. NeurIPS 2025Revisiting Bi-Linear State Transitions in Recurrent Neural Networks
272. NeurIPS 2025Revisiting Glorot Initialization for Long-Range Linear Recurrences
273. NeurIPS 2025Robust Ego-Exo Correspondence with Long-Term Memory
274. NeurIPS 2025Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection
275. NeurIPS 2025Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling
276. NeurIPS 2025Scaling Up Parameter Generation: A Recurrent Diffusion Approach
277. NeurIPS 2025Shaping Sequence Attractor Schema in Recurrent Neural Networks
278. NeurIPS 2025Skill-Driven Neurosymbolic State Abstractions
279. NeurIPS 2025Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks
280. NeurIPS 2025SpectraLDS: Provable Distillation for Linear Dynamical Systems
281. NeurIPS 2025Steering Information Utility in Key-Value Memory for Language Model Post-Training
282. NeurIPS 2025STree: Speculative Tree Decoding for Hybrid State Space Models
283. NeurIPS 2025Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models
284. NeurIPS 2025Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain
285. NeurIPS 2025The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels
286. NeurIPS 2025Uncovering the Spectral Bias in Diagonal State Space Models
287. NeurIPS 2025Unfolding the Black Box of Recurrent Neural Networks for Path Integration
288. NeurIPS 2025WaLRUS: Wavelets for Long range Representation Using State Space Methods
289. NeurIPS 2025xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
290. CVPR 2024FedMef: Towards Memory-efficient Federated Dynamic Pruning
291. CVPR 2024GenFlow: Generalizable Recurrent Flow for 6D Pose Refinement of Novel Objects
292. CVPR 2024HumMUSS: Human Motion Understanding using State Space Models
293. CVPR 2024LangSplat: 3D Language Gaussian Splatting
294. CVPR 2024Memory-Scalable and Simplified Functional Map Learning
295. CVPR 2024Rethinking Generalizable Face Anti-spoofing via Hierarchical Prototype-guided Distribution Refinement in Hyperbolic Space
296. CVPR 2024RTracker: Recoverable Tracking via PN Tree Structured Memory
297. CVPR 2024SpatialTracker: Tracking Any 2D Pixels in 3D Space
298. CVPR 2024State Space Models for Event Cameras
299. ICLR 2024A 2-Dimensional State Space Layer for Spatial Inductive Bias
300. ICLR 2024AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference

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.