Recurrent Memory papers, 2023–2026
State-space memory
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 416 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 9 | 17 | 7 | 12 | 45 |
| 2024 | 43 | 10 | 20 | 9 | 82 |
| 2025 | 61 | 20 | 16 | 20 | 117 |
| 2026 | 73 | 35 | 43 | 21 | 172 |
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
61 papers, page 1 of 2
- NeurIPS 2025Bridging Expressivity and Scalability with Adaptive Unitary SSMs
- NeurIPS 2025Computation and Memory-Efficient Model Compression with Gradient Reweighting
- NeurIPS 2025Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage
- NeurIPS 2025Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation
- NeurIPS 2025DeltaFormer: Unlock the state space of Transformer
- NeurIPS 2025DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
- NeurIPS 2025DERD-Net: Learning Depth from Event-based Ray Densities
- NeurIPS 2025DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
- NeurIPS 2025DyMoDreamer: World Modeling with Dynamic Modulation
- NeurIPS 2025Efficient Allocation of Working Memory Resource for Utility Maximization in Humans and Recurrent Neural Networks
- NeurIPS 2025Error Forcing in Recurrent Neural Networks
- NeurIPS 2025Exponential Dynamic Energy Network for High Capacity Sequence Memory
- NeurIPS 2025Fixed-Point RNNs: Interpolating from Diagonal to Dense
- NeurIPS 2025FLAME: Fast Long-context Adaptive Memory for Event-based Vision
- NeurIPS 2025Flow Equivariant Recurrent Neural Networks
- NeurIPS 2025FRN: Fractal-Based Recursive Spectral Reconstruction Network
- NeurIPS 2025Hankel Singular Value Regularization for Highly Compressible State Space Models
- NeurIPS 2025Hardware-aligned Hierarchical Sparse Attention for Efficient Long-term Memory Access
- NeurIPS 2025Inference of Whole Brain Electrophysiological Networks Through Multimodal Integration of Simultaneous Scalp and Intracranial EEG
- NeurIPS 2025Inference-time Alignment in Continuous Space
- NeurIPS 2025Irrational Complex Rotations Empower Low-bit Optimizers
- NeurIPS 2025Kinaema: a recurrent sequence model for memory and pose in motion
- NeurIPS 2025L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling
- NeurIPS 2025Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
- NeurIPS 2025Mamba Modulation: On the Length Generalization of Mamba Models
- NeurIPS 2025Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks
- NeurIPS 2025Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning
- NeurIPS 2025Memory by accident: a theory of learning as a byproduct of network stabilization
- NeurIPS 2025Memory Mosaics at scale
- NeurIPS 2025Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains
- NeurIPS 2025Memory-Enhanced Neural Solvers for Routing Problems
- NeurIPS 2025Metric Automata Theory: A Unifying Theory of RNNs
- NeurIPS 2025Nested Learning: The Illusion of Deep Learning Architectures
- NeurIPS 2025Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks
- NeurIPS 2025On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
- NeurIPS 2025Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention
- NeurIPS 2025PASS: Path-selective State Space Model for Event-based Recognition
- NeurIPS 2025Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
- NeurIPS 2025Predictability Enables Parallelization of Nonlinear State Space Models
- NeurIPS 2025Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs
- NeurIPS 2025Recurrent Memory for Online Interdomain Gaussian Processes
- NeurIPS 2025Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians
- NeurIPS 2025Revisiting Bi-Linear State Transitions in Recurrent Neural Networks
- NeurIPS 2025Revisiting Glorot Initialization for Long-Range Linear Recurrences
- NeurIPS 2025Robust Ego-Exo Correspondence with Long-Term Memory
- NeurIPS 2025Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection
- NeurIPS 2025Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling
- NeurIPS 2025Scaling Up Parameter Generation: A Recurrent Diffusion Approach
- NeurIPS 2025Shaping Sequence Attractor Schema in Recurrent Neural Networks
- NeurIPS 2025Skill-Driven Neurosymbolic State Abstractions
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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.