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 7 of 9

301. ICLR 2024Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches
302. ICLR 2024Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
303. ICLR 2024Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
304. ICLR 2024LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units
305. ICLR 2024Parsing neural dynamics with infinite recurrent switching linear dynamical systems
306. ICLR 2024Robustifying State-space Models for Long Sequences via Approximate Diagonalization
307. ICLR 2024Sufficient conditions for offline reactivation in recurrent neural networks
308. ICLR 2024The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.
309. ICML 2024Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning
310. ICML 2024Dynamic Metric Embedding into lp Space
311. ICML 2024Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks
312. ICML 2024Hieros: Hierarchical Imagination on Structured State Space Sequence World Models
313. ICML 2024How to Explore with Belief: State Entropy Maximization in POMDPs
314. ICML 2024Learning Latent Space Hierarchical EBM Diffusion Models
315. ICML 2024Learning the Target Network in Function Space
316. ICML 2024Learning Useful Representations of Recurrent Neural Network Weight Matrices
317. ICML 2024Memory Efficient Neural Processes via Constant Memory Attention Block
318. ICML 2024Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
319. ICML 2024PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models
320. ICML 2024Recurrent Distance Filtering for Graph Representation Learning
321. ICML 2024Recurrent Early Exits for Federated Learning with Heterogeneous Clients
322. ICML 2024Repeat After Me: Transformers are Better than State Space Models at Copying
323. ICML 2024Simple linear attention language models balance the recall-throughput tradeoff
324. ICML 2024Sobolev Space Regularised Pre Density Models
325. ICML 2024StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization
326. ICML 2024State-Free Inference of State-Space Models: The *Transfer Function* Approach
327. ICML 2024The Illusion of State in State-Space Models
328. ICML 2024Think Before You Act: Decision Transformers with Working Memory
329. NeurIPS 2024Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
330. NeurIPS 2024B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory
331. NeurIPS 2024Controlled maximal variability along with reliable performance in recurrent neural networks
332. NeurIPS 2024Coupled Mamba: Enhanced Multimodal Fusion with Coupled State Space Model
333. NeurIPS 2024Critically Assessing the State of the Art in Neural Network Verification
334. NeurIPS 2024ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction
335. NeurIPS 2024Expanding Sparse Tuning for Low Memory Usage
336. NeurIPS 2024Exploring Adversarial Robustness of Deep State Space Models
337. NeurIPS 2024Feedback control guides credit assignment in recurrent neural networks
338. NeurIPS 2024Gated Inference Network: Inference and Learning State-Space Models
339. NeurIPS 2024Geometry of naturalistic object representations in recurrent neural network models of working memory
340. NeurIPS 2024Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems
341. NeurIPS 2024Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers
342. NeurIPS 2024Inference of Neural Dynamics Using Switching Recurrent Neural Networks
343. NeurIPS 2024MambaLRP: Explaining Selective State Space Sequence Models
344. NeurIPS 2024Memory-Efficient LLM Training with Online Subspace Descent
345. NeurIPS 2024Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
346. NeurIPS 2024Navigating Extremes: Dynamic Sparsity in Large Output Spaces
347. NeurIPS 2024Not so griddy: Internal representations of RNNs path integrating more than one agent
348. NeurIPS 2024On Feature Learning in Structured State Space Models
349. NeurIPS 2024Parallelizing Linear Transformers with the Delta Rule over Sequence Length
350. NeurIPS 2024PointMamba: A Simple State Space Model for Point Cloud Analysis

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.