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

82 papers, page 2 of 2

51. ICLR 2025State Space Models are Provably Comparable to Transformers in Dynamic Token Selection
52. ICLR 2025Towards Continuous Reuse of Graph Models via Holistic Memory Diversification
53. ICLR 2025Tuning Frequency Bias of State Space Models
54. ICLR 2025Ultra-Sparse Memory Network
55. ICLR 2025Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
56. ICLR 2024A 2-Dimensional State Space Layer for Spatial Inductive Bias
57. ICLR 2024AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference
58. ICLR 2024Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches
59. ICLR 2024Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
60. ICLR 2024Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
61. ICLR 2024LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units
62. ICLR 2024Parsing neural dynamics with infinite recurrent switching linear dynamical systems
63. ICLR 2024Robustifying State-space Models for Long Sequences via Approximate Diagonalization
64. ICLR 2024Sufficient conditions for offline reactivation in recurrent neural networks
65. ICLR 2024The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.
66. ICLR 2023Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
67. ICLR 2023Continuous-time identification of dynamic state-space models by deep subspace encoding
68. ICLR 2023Decision S4: Efficient Sequence-Based RL via State Spaces Layers
69. ICLR 2023Distilling Model Failures as Directions in Latent Space
70. ICLR 2023Encoding Recurrence into Transformers
71. ICLR 2023Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
72. ICLR 2023How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections
73. ICLR 2023Hungry Hungry Hippos: Towards Language Modeling with State Space Models
74. ICLR 2023Incremental Learning of Structured Memory via Closed-Loop Transcription
75. ICLR 2023Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
76. ICLR 2023Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
77. ICLR 2023Learning with Auxiliary Activation for Memory-Efficient Training
78. ICLR 2023Liquid Structural State-Space Models
79. ICLR 2023Memory Gym: Partially Observable Challenges to Memory-Based Agents
80. ICLR 2023Neural Networks and the Chomsky Hierarchy
81. ICLR 2023Simplicial Hopfield networks
82. 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.