approximate nearest neighbor

A Multilabel Classification Framework for Approximate Nearest Neighbor Search NeurIPS 2022 Approximate Nearest Neighbour Extraction Techniques and Neural Networks for Suicide Risk Prediction in the CLPsych 2022 Shared Task NAACL 2022 C-MinHash: Improving Minwise Hashing with Circulant Permutation ICML 2022 DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search AISTATS 2022 Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes ICLR 2022 SignRFF: Sign Random Fourier Features NeurIPS 2022 Sparse Attention with Learning to Hash ICLR 2022 Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval ICLR 2021 Hierarchical Clustering in General Metric Spaces using Approximate Nearest Neighbors AISTATS 2021 Accelerating Large-Scale Inference with Anisotropic Vector Quantization ICML 2020 Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval AAAI 2020 Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification CVPR 2019 End-To-End Supervised Product Quantization for Image Search and Retrieval CVPR 2019 Fast Concept Mention Grouping for Concept Map-based Multi-Document Summarization NAACL 2019 Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost ICCV 2019 K-Nearest Neighbors Hashing CVPR 2019 Large Scale Graph Learning From Smooth Signals ICLR 2019 Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning EMNLP 2019 Learning Dense Representations for Entity Retrieval CoNLL 2019 Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond NeurIPS 2019 On Efficient Retrieval of Top Similarity Vectors EMNLP 2019 Sublinear Time Nearest Neighbor Search over Generalized Weighted Space ICML 2019 TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing ICML 2019 Approximate Nearest Neighbors in Limited Space COLT 2018 Deep Cauchy Hashing for Hamming Space Retrieval CVPR 2018