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 8 of 9

351. NeurIPS 2024Predictive Attractor Models
352. NeurIPS 2024Provable Benefits of Complex Parameterizations for Structured State Space Models
353. NeurIPS 2024Recurrent neural networks: vanishing and exploding gradients are not the end of the story
354. NeurIPS 2024Recurrent Reinforcement Learning with Memoroids
355. NeurIPS 2024Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models
356. NeurIPS 2024Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading
357. NeurIPS 2024Second-order forward-mode optimization of recurrent neural networks for neuroscience
358. NeurIPS 2024Separations in the Representational Capabilities of Transformers and Recurrent Architectures
359. NeurIPS 2024START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
360. NeurIPS 2024State Space Models on Temporal Graphs: A First-Principles Study
361. NeurIPS 2024Structured flexibility in recurrent neural networks via neuromodulation
362. NeurIPS 2024The Expressive Capacity of State Space Models: A Formal Language Perspective
363. NeurIPS 2024Theoretical Foundations of Deep Selective State-Space Models
364. NeurIPS 2024Thinking Forward: Memory-Efficient Federated Finetuning of Language Models
365. NeurIPS 2024Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences
366. NeurIPS 2024Trading Place for Space: Increasing Location Resolution Reduces Contextual Capacity in Hippocampal Codes
367. NeurIPS 2024Transformers Can Do Arithmetic with the Right Embeddings
368. NeurIPS 2024Unconditional stability of a recurrent neural circuit implementing divisive normalization
369. NeurIPS 2024Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks
370. NeurIPS 2024VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections
371. NeurIPS 2024xLSTM: Extended Long Short-Term Memory
372. CVPR 2023Bilateral Memory Consolidation for Continual Learning
373. CVPR 2023Color Backdoor: A Robust Poisoning Attack in Color Space
374. CVPR 2023Continual Semantic Segmentation With Automatic Memory Sample Selection
375. CVPR 2023Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder
376. CVPR 2023Efficient Movie Scene Detection Using State-Space Transformers
377. CVPR 2023Finding Geometric Models by Clustering in the Consensus Space
378. CVPR 2023Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis
379. CVPR 2023NaQ: Leveraging Narrations As Queries To Supervise Episodic Memory
380. CVPR 2023Restoration of Hand-Drawn Architectural Drawings Using Latent Space Mapping With Degradation Generator
381. CVPR 2023RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo
382. CVPR 2023SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates
383. CVPR 2023Shape-Constraint Recurrent Flow for 6D Object Pose Estimation
384. ICLR 2023Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
385. ICLR 2023Continuous-time identification of dynamic state-space models by deep subspace encoding
386. ICLR 2023Decision S4: Efficient Sequence-Based RL via State Spaces Layers
387. ICLR 2023Distilling Model Failures as Directions in Latent Space
388. ICLR 2023Encoding Recurrence into Transformers
389. ICLR 2023Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
390. ICLR 2023How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections
391. ICLR 2023Hungry Hungry Hippos: Towards Language Modeling with State Space Models
392. ICLR 2023Incremental Learning of Structured Memory via Closed-Loop Transcription
393. ICLR 2023Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
394. ICLR 2023Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
395. ICLR 2023Learning with Auxiliary Activation for Memory-Efficient Training
396. ICLR 2023Liquid Structural State-Space Models
397. ICLR 2023Memory Gym: Partially Observable Challenges to Memory-Based Agents
398. ICLR 2023Neural Networks and the Chomsky Hierarchy
399. ICLR 2023Simplicial Hopfield networks
400. ICLR 2023Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning

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.