稠密检索论文趋势 2023–2026
双塔与 ANN
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 401 篇被归入该主题的论文。
主要结论
- 稠密检索论文从 2023 年的 60 篇增长到 2026 年的 162 篇，三年间扩大到约 2.7 倍。
- CVPR 是发稠密检索论文最多的会议，2023–2026 年共 147 篇，占四个会议总量的 37%。
- 交叉方向里涨得最快的是检索记忆：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 21 篇。
- 在「信息检索」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的交叉编码重排是 3.0 倍，稠密检索是 2.7 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 6 | 12 | 8 | 34 | 60 |
| 2024 | 23 | 14 | 22 | 33 | 92 |
| 2025 | 35 | 12 | 10 | 30 | 87 |
| 2026 | 51 | 26 | 35 | 50 | 162 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026Half-Truths Break Similarity-Based Retrieval
- ICML 2026Deep Discriminative Structure Proxy Hashing for Cross-modal Retrieval
- ICLR 2026A Dense Subset Index for Collective Query Coverage
- CVPR 2026Beyond Caption-Based Queries in Video Moment Retrieval
- NeurIPS 2025Dense Associative Memory with Epanechnikov Energy
- ICML 2025Nonparametric Modern Hopfield Models
- ICLR 2025Contextual Document Embeddings
- CVPR 2025Adapting Dense Matching for Homography Estimation with Grid-based Acceleration
- NeurIPS 2024CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
- ICML 2024Compute Better Spent: Replacing Dense Layers with Structured Matrices
- ICLR 2024Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders
- CVPR 2024Dense Optical Tracking: Connecting the Dots
- NeurIPS 2023Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes
- ICML 2023Everyone's Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval
- ICLR 2023Automating Nearest Neighbor Search Configuration with Constrained Optimization
- CVPR 2023Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active Learning
- NeurIPS 2026Hyperparameter Transfer for Dense Associative Memories
- ICML 2026Dense associative memory for Gaussian distributions
- ICLR 2026Beyond Instance-Level Alignment: Dual-Level Optimal Transport for Audio-Text Retrieval
- CVPR 2026Beyond Tie Points Satellite Image Block Adjustment based on Dense
全部稠密检索论文
共 401 篇，第 8 / 9 页
- CVPR 2023Detecting Backdoors in Pre-Trained Encoders
- CVPR 2023DKM: Dense Kernelized Feature Matching for Geometry Estimation
- CVPR 2023DPF: Learning Dense Prediction Fields With Weak Supervision
- CVPR 2023DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
- CVPR 2023Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval
- CVPR 2023End-to-End 3D Dense Captioning With Vote2Cap-DETR
- CVPR 2023ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields
- CVPR 2023Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning
- CVPR 2023Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids
- CVPR 2023Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
- CVPR 2023Hierarchical Video-Moment Retrieval and Step-Captioning
- CVPR 2023Improving Cross-Modal Retrieval With Set of Diverse Embeddings
- CVPR 2023Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization
- CVPR 2023Learning To Detect Mirrors From Videos via Dual Correspondences
- CVPR 2023One-to-Few Label Assignment for End-to-End Dense Detection
- CVPR 2023Open-Set Fine-Grained Retrieval via Prompting Vision-Language Evaluator
- CVPR 2023Pix2map: Cross-Modal Retrieval for Inferring Street Maps From Images
- CVPR 2023Probabilistic Prompt Learning for Dense Prediction
- CVPR 2023R2Former: Unified Retrieval and Reranking Transformer for Place Recognition
- CVPR 2023Revisiting Self-Similarity: Structural Embedding for Image Retrieval
- CVPR 2023RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval
- CVPR 2023SmallCap: Lightweight Image Captioning Prompted With Retrieval Augmentation
- CVPR 2023Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly
- CVPR 2023ViLEM: Visual-Language Error Modeling for Image-Text Retrieval
- CVPR 2023Zero-Shot Dual-Lens Super-Resolution
- ICLR 2023Accurate Image Restoration with Attention Retractable Transformer
- ICLR 2023Automating Nearest Neighbor Search Configuration with Constrained Optimization
- ICLR 2023DENSE RGB SLAM WITH NEURAL IMPLICIT MAPS
- ICLR 2023Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval
- ICLR 2023Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning
- ICLR 2023Promptagator: Few-shot Dense Retrieval From 8 Examples
- ICLR 2023Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints
- ICLR 2023Sparsity-Constrained Optimal Transport
- ICLR 2023Treeformer: Dense Gradient Trees for Efficient Attention Computation
- ICLR 2023Unicom: Universal and Compact Representation Learning for Image Retrieval
- ICLR 2023Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
- ICLR 2023Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval
- ICML 2023Everyone's Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval
- ICML 2023IncDSI: Incrementally Updatable Document Retrieval
- ICML 2023Learning Dense Correspondences between Photos and Sketches
- ICML 2023Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute
- ICML 2023Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint
- ICML 2023ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
- ICML 2023Robust Weak Supervision with Variational Auto-Encoders
- ICML 2023Tighter Bounds on the Expressivity of Transformer Encoders
- NeurIPS 2023AiluRus: A Scalable ViT Framework for Dense Prediction
- NeurIPS 2023Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes
- NeurIPS 2023Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel
- NeurIPS 2023Model-enhanced Vector Index
- NeurIPS 2023SOAR: Improved Indexing for Approximate Nearest Neighbor Search
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查稠密检索在 CVPR 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "dense-retrieval"}
常见问题
- 2023–2026 年四大会议一共有多少篇稠密检索论文？
- 共 401 篇，按年份分别是 2023 年 60 篇、2024 年 92 篇、2025 年 87 篇、2026 年 162 篇。
- NeurIPS 2026 有多少篇稠密检索论文？
- NeurIPS 2026 有 51 篇稠密检索论文，上一届是 35 篇。
- ICLR 2026 有多少篇稠密检索论文？
- ICLR 2026 有 26 篇稠密检索论文，上一届是 12 篇。
- ICML 2026 有多少篇稠密检索论文？
- ICML 2026 有 35 篇稠密检索论文，上一届是 10 篇。
- CVPR 2026 有多少篇稠密检索论文？
- CVPR 2026 有 50 篇稠密检索论文，上一届是 30 篇。
- 哪个会议的稠密检索论文最多？
- CVPR，2023–2026 年共 147 篇。