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

35 papers, page 1 of 1

1. ICLR 2026A Memory-Efficient Hierarchical Algorithm for Large-scale Optimal Transport Problems
2. ICLR 2026Adaptive Hopfield Network: Rethinking Similarities in Associative Memory
3. ICLR 2026AIRE-Prune: Asymptotic Impulse-Response Energy for State Pruning in State Space Models
4. ICLR 2026ChainGPT: Dual-Reasoning Model with Recurrent Depth and Multi-Rank State Updates
5. ICLR 2026Detecting Invariant Manifolds in ReLU-Based RNNs
6. ICLR 2026DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation
7. ICLR 2026Discovering alternative solutions beyond the simplicity bias in recurrent neural networks
8. ICLR 2026Dynamical properties of dense associative memory
9. ICLR 2026Exploring State-Space Models for Data-Specific Neural Representations
10. ICLR 2026Feedback-driven recurrent quantum neural network universality
11. ICLR 2026Forget Forgetting: Continual Learning in a World of Abundant Memory
12. ICLR 2026From movement to cognitive maps: recurrent neural networks reveal how locomotor development shapes hippocampal spatial coding
13. ICLR 2026Inferring brain plasticity rule under long-term stimulation with structured recurrent dynamics
14. ICLR 2026Latent Wasserstein Adversarial Imitation Learning
15. ICLR 2026Learning linear state-space models with sparse system matrices
16. ICLR 2026Mamba-3: Improved Sequence Modeling using State Space Principles
17. ICLR 2026MeSH: Memory-as-State-Highways for Recursive Transformers
18. ICLR 2026MoDr: Mixture-of-Depth-Recurrent Transformers for Test-Time Reasoning
19. ICLR 2026On the Expressiveness of State Space Models via Temporal Logics
20. ICLR 2026Quantized Gradient Projection for Memory-Efficient Continual Learning
21. ICLR 2026Recurrent Action Transformer with Memory
22. ICLR 2026Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data
23. ICLR 2026Sequential Parallel Duality in Prefix Scannable Models
24. ICLR 2026Setting up for failure: automatic discovery of the neural mechanisms of cognitive errors
25. ICLR 2026Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Understanding
26. ICLR 2026SSDi8: Accurate and Efficient 8-bit Quantization for State Space Duality
27. ICLR 2026Sublinear Spectral Clustering Oracle with Little Memory
28. ICLR 2026Temporal superposition and feature geometry of RNNs under memory demands
29. ICLR 2026Test-Time Accuracy-Cost Control in Neural Simulators via Recurrent-Depth
30. ICLR 2026The Curious Case of In-Training Compression of State Space Models
31. ICLR 2026The Expressive Limits of Diagonal SSMs for State-Tracking
32. ICLR 2026The Pensieve Paradigm: Stateful Language Models with Learned Memory Management
33. ICLR 2026To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models
34. ICLR 2026Tuning the burn-in phase in training recurrent neural networks improves their performance
35. ICLR 2026Weight-Space Linear Recurrent Neural Networks

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.