Key papers

• High Efficiency Wiener Filter-based Point Cloud Quality Enhancement for MPEG G-PCC (2025)
  Yuxuan Wei et al.
  9.16
• Orthonormal Product Quantization Network For Scalable Face Image Retrieval (2021)
  Ming Zhang, Xuefei Zhe, Hong Yan
  8.60
• Scaling Up HBM Efficiency Of Top-k Spmv For Approximate Embedding Similarity On Fpgas (2021)
  Alberto Parravicini, Luca Giuseppe Cellamare, Marco Siracusa, et al.
  8.09
• Towards Bundle Adjustment For Satellite Imaging Via Quantum Machine Learning (2022)
  Nico Piatkowski, Thore Gerlach, Romain Hugues, et al.
  7.81
• VSAG: An Optimized Search Framework for Graph-based Approximate Nearest Neighbor Search (2025)
  Xiaoyao Zhong et al.
  6.63
• Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering (2025)
  Simeon Emanuilov et al.
  5.13
• DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search (2025)
  Manos Chatzakis et al.
  4.93
• kANNolo: Sweet and Smooth Approximate k-Nearest Neighbors Search (2025)
  Leonardo Delfino et al.
  4.71
• Beyond Neighbourhood-preserving Transformations For Quantization-based Unsupervised Hashing (2021)
  Sobhan Hemati, H. R. Tizhoosh
  4.52
• CS-PQ: Cache-Friendly SIMD Product Quantization for Large-Scale ANNS Index Construction (2026)
  Y.T. Ma et al.
  4.27
• KBest: Efficient Vector Search on Kunpeng CPU (2025)
  Kaihao Ma et al.
  3.92
• PQA: Exploring The Potential Of Product Quantization In DNN Hardware Acceleration (2023)
  Ahmed F. Abouelhamayed, Angela Cui, Javier Fernandez-Marques, et al.
  3.58
• Clustered Codebook Quantization for 2D Gaussian-based Image Compression (2026)
  Runze Cheng et al.
  3.51
• Panorama: Fast-Track Nearest Neighbors (2025)
  Vansh Ramani et al.
  3.10
• AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information Retrieval (2024)
  Kento Tatsuno et al.
  3.09
• LEANN: A Low-Storage Vector Index (2025)
  Yichuan Wang et al.
  2.95
• Real-time Indexing For Large-scale Recommendation By Streaming Vector Quantization Retriever (2025)
  Xingyan Bin, Jianfei Cui, Wujie Yan, et al.
  2.60
• Hessian-aware Quantized Node Embeddings For Recommendation (2023)
  Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, et al.
  2.26
• Dimensionality-Reduction Techniques for Approximate Nearest Neighbor Search: A Survey and Evaluation (2024)
  Zeyu Wang et al.
  2.10
• ColBERTSaR: Sparsified ColBERT Index via Product Quantization (2026)
  Eugene Yang and Andrew Yates and Dawn Lawrie and James Mayfield and Saron Samuel and Rohan Jha
  1.94
• ASH: Asymmetric Scalar Hashing With Learned Dimensionality Reduction for High-Fidelity Vector Quantization (2026)
  Mariano Tepper and Theodore Willke
  1.94
• Closing the Indexing-Decoding Gap in Multimodal Generative Retrieval via Prefix Retention Optimization (2026)
  Yufei Chen et al.
  1.94
• Discretization Is Not Always Better: Rethinking Deep Quantization for Asymmetric Image Retrieval (2026)
  Xinze Liu et al.
  1.94
• IVF-TQ: Calibration-Free Streaming Vector Search via a Codebook-Free Residual Layer (2026)
  Tarun Sharma
  1.89
• BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector (2026)
  Ziqi Yin et al.
  1.83
• Cardinality Estimation for High Dimensional Similarity Queries with Adaptive Bucket Probing (2026)
  Zhonghan Chen et al.
  1.83
• Large-Scale Data Parallelization of Product Quantization and Inverted Indexing Using Dask (2026)
  Ashley N. Abraham et al.
  1.83
• Efficient Multivector Retrieval with Token-Aware Clustering and Hierarchical Indexing (2026)
  Silvio Martinico et al.
  1.83
• CRISP: Correlation-Resilient Indexing via Subspace Partitioning (2026)
  Dimitris Dimitropoulos et al.
  1.78
• A Super Fast K-means for Indexing Vector Embeddings (2026)
  Leonardo Kuffo et al.
  1.78
• GEM: A Native Graph-based Index for Multi-Vector Retrieval (2026)
  Yao Tian et al.
  1.78
• Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation System (2026)
  Jiang Zhang et al.
  1.72
• AQR-HNSW: Accelerating Approximate Nearest Neighbor Search via Density-aware Quantization and Multi-stage Re-ranking (2026)
  Ganap Ashit Tewary et al.
  1.72
• GPU-Native Approximate Nearest Neighbor Search with IVF-RaBitQ: Fast Index Build and Search (2026)
  Jifan Shi et al.
  1.72
• Vector Search for the Future: From Memory-Resident, Static Heterogeneous Storage, to Cloud-Native Architectures (2026)
  Yitong Song et al.
  1.67
• GPU-Accelerated ANNS: Quantized for Speed, Built for Change (2026)
  Hunter McCoy et al.
  1.67
• RAIRS: Optimizing Redundant Assignment and List Layout for IVF-Based ANN Search (2026)
  Zehai Yang et al.
  1.67
• FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems (2026)
  Tianqi Zhang et al.
  1.67
• Quantization for Vector Search under Streaming Updates (2025)
  Ishaq Aden-Ali et al.
  1.61
• KScaNN: Scalable Approximate Nearest Neighbor Search on Kunpeng (2025)
  Oleg Senkevich et al.
  1.56
• Dimension vs. Precision: A Comparative Analysis of Autoencoders and Quantization for Efficient Vector Retrieval on BEIR SciFact (2025)
  Satyanarayan Pati (Involead Services Pvt Ltd et al.
  1.56
• {\delta}-EMG: A Monotonic Graph Index for Approximate Nearest Neighbor Search (2025)
  Liming Xiang et al.
  1.56
• DGAI: Decoupled On-Disk Graph-Based ANN Index for Efficient Updates and Queries (2025)
  Jiahao Lou et al.
  1.50
• SAQ: Pushing the Limits of Vector Quantization through Code Adjustment and Dimension Segmentation (2025)
  Hui Li et al.
  1.44
• Optimizing Product Deduplication in E-Commerce with Multimodal Embeddings (2025)
  Aysenur Kulunk et al.
  1.44
• Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe (2025)
  Chong You et al.
  1.44
• Individualized non-uniform quantization for vector search (2025)
  Mariano Tepper et al.
  1.44
• CALL: Context-Aware Low-Latency Retrieval in Disk-Based Vector Databases (2025)
  Yeonwoo Jeong et al.
  1.44
• RAE: A Neural Network Dimensionality Reduction Method for Nearest Neighbors Preservation in Vector Search (2025)
  Han Zhang et al.
  1.44
• Optimization of Latent-Space Compression using Game-Theoretic Techniques for Transformer-Based Vector Search (2025)
  Kushagra Agrawal et al.
  1.39
• Ultra-Quantisation: Efficient Embedding Search via 1.58-bit Encodings (2025)
  Richard Connor et al.
  1.28
• Hierarchical Patch Compression for ColPali: Efficient Multi-Vector Document Retrieval with Dynamic Pruning and Quantization (2025)
  Duong Bach
  1.28
• Bang for the Buck: Vector Search on Cloud CPUs (2025)
  Leonardo Kuffo and Peter Boncz
  1.22
• Efficient Quantum Approximate $k$NN Algorithm via Granular-Ball Computing (2025)
  Shuyin Xia and Xiaojiang Tian and Suzhen Yuan and Jeremiah D. Deng
  1.22
• Sublinear Data Structures for Nearest Neighbor in Ultra High Dimensions (2025)
  Martin G. Herold et al.
  1.11
• SQUASH: Serverless and Distributed Quantization-based Attributed Vector Similarity Search (2025)
  Joe Oakley et al.
  1.06
• Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks (2025)
  Th\'eophane Vallaeys et al.
  1.00
• Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search (2025)
  Daniel Severo et al.
  1.00
• End-to-end Efficient Representation Learning Via Cascading Combinatorial Optimization (2019)
  Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song
  0.00
• Random Cycle Coding: Lossless Compression Of Cluster Assignments Via Bits-back Coding (2024)
  Daniel Severo, Ashish Khisti, Alireza Makhzani
  0.00