External Memory papers, 2023–2026
Memory modules
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 130 papers are tagged with this topic.
Key findings
- External Memory went from 21 papers in 2023 to 56 in 2026, roughly 2.7x in three years.
- NeurIPS publishes the most External Memory work: 46 papers from 2023 to 2026, 35% of the four-venue total.
- The fastest-growing overlap is with AI Agents: papers tagged with both rose from 0 in 2023 to 9 in 2026.
- Among the 5 topics under Long Context and Memory, it ranks #5 by 2026 paper count; the fastest grower in the group, Retrieval Memory, is up 6.6x versus 2.7x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 5 | 8 | 2 | 6 | 21 |
| 2024 | 3 | 4 | 10 | 8 | 25 |
| 2025 | 12 | 10 | 3 | 3 | 28 |
| 2026 | 26 | 13 | 13 | 4 | 56 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026Efficient Memory Crystallization for Graph Learning under Non-Stationary Distribution Shifts
- ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
- ICLR 2026Pre-training Limited Memory Language Models with Internal and External Knowledge
- CVPR 2026Spatial-SAM Spatially Consistent 3D Electron Microscopy Segmentation with SDF Memory
- NeurIPS 2025Future Link Prediction Without Memory or Aggregation
- ICML 2025Agent Workflow Memory
- ICLR 2025BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments
- CVPR 2025Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy
- NeurIPS 2024Pipeline Parallelism with Controllable Memory
- ICML 2024Graph External Attention Enhanced Transformer
- ICLR 2024The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning
- CVPR 2024RTracker: Recoverable Tracking via PN Tree Structured Memory
- NeurIPS 2023Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity
- ICML 2023Memory-Based Meta-Learning on Non-Stationary Distributions
- ICLR 2023Mass-Editing Memory in a Transformer
- CVPR 2023Bilateral Memory Consolidation for Continual Learning
- NeurIPS 2026Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory
- ICML 2026Generalized Linear Bandits with Memory
- ICLR 2026QKV Projections Require a Fraction of Their Memory
- CVPR 2026Captain Safari A World Engine with Pose-Aligned 3D Memory
All External Memory papers
56 papers, page 1 of 2
- CVPR 2026Affordance Field Intervention Enabling VLAs to Escape Memory Traps in
- CVPR 2026Captain Safari A World Engine with Pose-Aligned 3D Memory
- CVPR 2026Memory-Efficient Transfer Learning with Fading Side Networks via Masked Dual
- CVPR 2026Spatial-SAM Spatially Consistent 3D Electron Microscopy Segmentation with SDF Memory
- ICLR 2026A Biologically Plausible Dense Associative Memory with Exponential Capacity
- ICLR 2026Are LLMs Really Not Knowledgeable? Mining the Submerged Knowledge in LLMs' Memory
- ICLR 2026ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL
- ICLR 2026Fresh in memory: Training-order recency is linearly encoded in language model activations
- ICLR 2026Hippoformer: Integrating Hippocampus-inspired Spatial Memory with Transformers
- ICLR 2026Improving Code Localization with Repository Memory
- ICLR 2026MLP Memory: A Retriever-Pretrained Memory for Large Language Models
- ICLR 2026Muon Outperforms Adam in Tail-End Associative Memory Learning
- ICLR 2026Not All Bits Are Equal: How Model Scale Changes Memory-Optimal Reasoning
- ICLR 2026Pre-training Limited Memory Language Models with Internal and External Knowledge
- ICLR 2026QKV Projections Require a Fraction of Their Memory
- ICLR 2026Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data
- ICLR 2026Sublinear Spectral Clustering Oracle with Little Memory
- ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
- ICML 2026Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring
- ICML 2026E2Former-V2: On-the-Fly Equivariant Attention with Linear Activation Memory
- ICML 2026Generalized Linear Bandits with Memory
- ICML 2026Hyperbolic Associative Memory Networks
- ICML 2026Investigating Memory in Model-Free RL with POPGym Arcade
- ICML 2026LoKiFormer: Locality-aware Attention with Decoupled Knowledge Memory for Efficient Large Language Model Pretraining
- ICML 2026Memory Caching: RNNs with Growing Memory
- ICML 2026Memory Savings at What Cost? A Study of Alternatives to Backpropagation
- ICML 2026Neuromem: A Granular Decomposition of the Streaming Lifecycle in External Memory for LLMs
- ICML 2026ParamMem: Augmenting Language Agents with Parametric Reflective Memory
- ICML 2026Revisiting the Bertrand Paradox via Equilibrium Analysis of No-regret Learners
- ICML 2026Textual Stochastic Gradient Descent: Discrete Optimization of External Memory for Reasoning Language Agents
- NeurIPS 2026A Hebbian Recurrent Neural Network Explains the Hierarchical Geometry of Sequence Memory
- NeurIPS 2026Approximate Memory Suffices for Universal Approximation with State Space Models
- NeurIPS 2026AUTOMEM: Automated Learning of Memory as a Cognitive Skill
- NeurIPS 2026Beyond Exemplar Selection: Value-Aware Memory Allocation in Replay-Based Continual Learning
- NeurIPS 2026BLANP: Memory-Efficient Backpropagation-Free Local Training via Antithetic Node Perturbation
- NeurIPS 2026Deployment-Memory LLM Test-Time Training Should Require Behavioral Evidence Beyond Perplexity
- NeurIPS 2026Driving on Memory
- NeurIPS 2026Dynamic Optimistic Constrained OCO with Memory via Delay Equivalence
- NeurIPS 2026Efficient Memory Crystallization for Graph Learning under Non-Stationary Distribution Shifts
- NeurIPS 2026Forgetting is Not Always Bad: A Neuro-Inspired Memory Repair Mechanism for Poisoned LLM Agents
- NeurIPS 2026Going Down Memory Lane: Scaling Tokens for Video Stream Understanding with Dynamic KV-Cache Memory
- NeurIPS 2026HeMeR: Heterogeneous Memory Reconciliation for Embodied Agents via Structured KV Reuse
- NeurIPS 2026LinearARD: Linear-Memory Attention Distillation for RoPE Restoration
- NeurIPS 2026MemContract: Contract-Sensitive Evaluation for Mutable Agent Memory
- NeurIPS 2026MemDLM: Memory-Enhanced DLM Training
- NeurIPS 2026Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory
- NeurIPS 2026MemPoison: Uncovering Persistent Memory Threats and Structural Blind Spots in LLM Agents
- NeurIPS 2026Not All Gap Correction Helps: A Geometric View of External Information in LLM Inference
- NeurIPS 2026PREPING: Building Agent Memory without Tasks
- NeurIPS 2026Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory
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FAQ
- How many External Memory papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 130 in total: 21 in 2023, 25 in 2024, 28 in 2025, 56 in 2026.
- How many External Memory papers are at NeurIPS 2026?
- NeurIPS 2026 has 26 External Memory papers, versus 12 the year before.
- How many External Memory papers are at ICLR 2026?
- ICLR 2026 has 13 External Memory papers, versus 10 the year before.
- How many External Memory papers are at ICML 2026?
- ICML 2026 has 13 External Memory papers, versus 3 the year before.
- How many External Memory papers are at CVPR 2026?
- CVPR 2026 has 4 External Memory papers, versus 3 the year before.
- Which conference publishes the most External Memory papers?
- NeurIPS, with 46 papers from 2023 to 2026.