Approximate Nearest Neighbor Search in High Dimensions

26 June 2018

Papers citing "Approximate Nearest Neighbor Search in High Dimensions"

21 / 21 papers shown

Title
Scalable Density-based Clustering with Random Projections Haochuan Xu Ninh Pham 31 1 0 24 Feb 2024
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training Lianke Qin Saayan Mitra Zhao Song Yuanyuan Yang Dinesh Manocha 37 0 0 19 Nov 2023
Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing Josh Alman Jiehao Liang Zhao Song Ruizhe Zhang Danyang Zhuo 89 31 0 25 Nov 2022
Addressing Bias in Face Detectors using Decentralised Data collection with incentives M. Ahan Robin Lehmann R. Blythman FedML CVBM 23 0 0 28 Oct 2022
Sublinear Time Algorithm for Online Weighted Bipartite Matching Han Hu Zhao Song Runzhou Tao Zhaozhuo Xu Junze Yin Danyang Zhuo 31 7 0 05 Aug 2022
Unsupervised Space Partitioning for Nearest Neighbor Search Abrar Fahim Mohammed Eunus Ali Muhammad Aamir Cheema 21 1 0 16 Jun 2022
Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search Ninh D. Pham Tao Liu 26 8 0 03 Jun 2022
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings Yuzhe Lu Xinran Liu Andrea Soltoggio Soheil Kolouri 23 7 0 11 Dec 2021
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures Anshumali Shrivastava Zhao Song Zhaozhuo Xu 32 28 0 30 Nov 2021
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity Sheshera Mysore Arman Cohan Tom Hope 21 39 0 16 Nov 2021
Learning-Augmented $k$ -means Clustering Jon Ergun Zhili Feng Sandeep Silwal David P. Woodruff Samson Zhou 26 30 0 27 Oct 2021
Does Preprocessing Help Training Over-parameterized Neural Networks? Zhao Song Shuo Yang Ruizhe Zhang 47 49 0 09 Oct 2021
Learning to Hash Robustly, Guaranteed Alexandr Andoni Daniel Beaglehole 19 9 0 11 Aug 2021
Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing Anshumali Shrivastava Zhao Song Zhaozhuo Xu 21 22 0 18 May 2021
COPT: Coordinated Optimal Transport for Graph Sketching Yihe Dong W. Sawin OT 48 26 0 09 Mar 2020
Randomly Projected Additive Gaussian Processes for Regression Ian A. Delbridge D. Bindel A. Wilson 27 27 0 30 Dec 2019
Learning Space Partitions for Nearest Neighbor Search Yihe Dong Piotr Indyk Ilya P. Razenshteyn Tal Wagner 29 12 0 24 Jan 2019
Quantum-inspired sublinear algorithm for solving low-rank semidefinite programming Nai-Hui Chia Tongyang Li Han-Hsuan Lin Cong Wang 28 13 0 10 Jan 2019
Norm-Range Partition: A Universal Catalyst for LSH based Maximum Inner Product Search (MIPS) Xiao Yan XINYAN DAI Jie Liu Kaiwen Zhou James Cheng 16 0 0 22 Oct 2018
Norm-Ranging LSH for Maximum Inner Product Search Xiao Yan Jinfeng Li XINYAN DAI Hongzhi Chen James Cheng 16 55 0 24 Sep 2018
Zoom: SSD-based Vector Search for Optimizing Accuracy, Latency and Memory Minjia Zhang Yuxiong He VLM 20 7 0 11 Sep 2018