Retrieval Memory papers, 2023–2026
Retrieval-augmented memory
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 290 papers are tagged with this topic.
Key findings
- Retrieval Memory went from 23 papers in 2023 to 151 in 2026, roughly 6.6x in three years.
- NeurIPS publishes the most Retrieval Memory work: 120 papers from 2023 to 2026, 41% of the four-venue total.
- The fastest-growing overlap is with AI Agents: papers tagged with both rose from 0 in 2023 to 25 in 2026.
- Among the 5 topics under Long Context and Memory, it ranks #3 by 2026 paper count; the fastest grower in the group, Long Context, is up 5.2x versus 6.6x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 8 | 7 | 3 | 5 | 23 |
| 2024 | 14 | 7 | 15 | 8 | 44 |
| 2025 | 34 | 19 | 14 | 5 | 72 |
| 2026 | 64 | 31 | 38 | 18 | 151 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026ADMIT: Support-Gated Memory-Write Admission for Document QA Agents
- ICML 2026Attention with Routed-Memory for Learnable Sparse Control
- ICLR 2026AssoMem: Scalable Memory QA with Multi-Signal Associative Retrieval
- CVPR 2026DREAM Document Recognition with Explicit Adaptive Memory
- NeurIPS 2025EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
- ICML 2025In-Context Denoising with One-Layer Transformers: Connections between Attention and Associative Memory Retrieval
- ICLR 2025BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments
- CVPR 2025MAD: Memory-Augmented Detection of 3D Objects
- NeurIPS 2024A Gradient Accumulation Method for Dense Retriever under Memory Constraint
- ICML 2024Think Before You Act: Decision Transformers with Working Memory
- ICLR 2024STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
- CVPR 2024Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
- NeurIPS 2023Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection
- ICML 2023Memory-Based Meta-Learning on Non-Stationary Distributions
- ICLR 2023Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
- CVPR 2023Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis
- NeurIPS 2026Automated Reformulation of Robust Optimization via Memory-Augmented Large Language Models
- ICML 2026Dense associative memory for Gaussian distributions
- ICLR 2026FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference
- CVPR 2026Interactive Tracking A Human-in-the-Loop Paradigm with Memory-Augmented Adaptation
All Retrieval Memory papers
290 papers, page 6 of 6
- ICML 2024Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
- ICML 2024Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
- ICML 2024Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
- NeurIPS 2024A Gradient Accumulation Method for Dense Retriever under Memory Constraint
- NeurIPS 2024BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
- NeurIPS 2024Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
- NeurIPS 2024Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
- NeurIPS 2024Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
- NeurIPS 2024HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
- NeurIPS 2024Online Adaptation of Language Models with a Memory of Amortized Contexts
- NeurIPS 2024Pipeline Parallelism with Controllable Memory
- NeurIPS 2024Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes
- NeurIPS 2024RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation
- NeurIPS 2024RAGraph: A General Retrieval-Augmented Graph Learning Framework
- NeurIPS 2024Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
- NeurIPS 2024UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis
- NeurIPS 2024WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
- CVPR 2023Learning Customized Visual Models With Retrieval-Augmented Knowledge
- CVPR 2023Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis
- CVPR 2023NaQ: Leveraging Narrations As Queries To Supervise Episodic Memory
- CVPR 2023RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre-Training
- CVPR 2023REVEAL: Retrieval-Augmented Visual-Language Pre-Training With Multi-Source Multimodal Knowledge Memory
- ICLR 2023A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
- ICLR 2023Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
- ICLR 2023Mass-Editing Memory in a Transformer
- ICLR 2023Neural Networks and the Chomsky Hierarchy
- ICLR 2023Recitation-Augmented Language Models
- ICLR 2023Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay
- ICLR 2023Short-Term Memory Convolutions
- ICML 2023Memory-Based Meta-Learning on Non-Stationary Distributions
- ICML 2023Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute
- ICML 2023Retrieval-Augmented Multimodal Language Modeling
- NeurIPS 2023Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection
- NeurIPS 2023Hypothesis Selection with Memory Constraints
- NeurIPS 2023Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
- NeurIPS 2023Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory
- NeurIPS 2023Memory Efficient Optimizers with 4-bit States
- NeurIPS 2023Retrieval-Augmented Multiple Instance Learning
- NeurIPS 2023Sequential Memory with Temporal Predictive Coding
- NeurIPS 2023Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity
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FAQ
- How many Retrieval Memory papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 290 in total: 23 in 2023, 44 in 2024, 72 in 2025, 151 in 2026.
- How many Retrieval Memory papers are at NeurIPS 2026?
- NeurIPS 2026 has 64 Retrieval Memory papers, versus 34 the year before.
- How many Retrieval Memory papers are at ICLR 2026?
- ICLR 2026 has 31 Retrieval Memory papers, versus 19 the year before.
- How many Retrieval Memory papers are at ICML 2026?
- ICML 2026 has 38 Retrieval Memory papers, versus 14 the year before.
- How many Retrieval Memory papers are at CVPR 2026?
- CVPR 2026 has 18 Retrieval Memory papers, versus 5 the year before.
- Which conference publishes the most Retrieval Memory papers?
- NeurIPS, with 120 papers from 2023 to 2026.