locality sensitive hashing

Fast and Bayes-consistent nearest neighbors AISTATS 2020 Learning Space Partitions for Nearest Neighbor Search ICLR 2020 Mutual Information Estimation using LSH Sampling IJCAI 2020 On Adaptive Distance Estimation NeurIPS 2020 Practical Federated Gradient Boosting Decision Trees AAAI 2020 Randomness Efficient Feature Hashing for Sparse Binary Data ACML 2020 Reformer: The Efficient Transformer ICLR 2020 Scaling up Kernel Ridge Regression via Locality Sensitive Hashing AISTATS 2020 Scaling up Simhash ACML 2020 SMYRF - Efficient Attention using Asymmetric Clustering NeurIPS 2020 Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval AAAI 2020 Sub-linear Memory Sketches for Near Neighbor Search on Streaming Data ICML 2020 Fast and Accurate Stochastic Gradient Estimation NeurIPS 2019 Fast Concept Mention Grouping for Concept Map-based Multi-Document Summarization NAACL 2019 Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing EMNLP 2019 Kernelized Hashcode Representations for Relation Extraction AAAI 2019 Large-Scale Speaker Retrieval on Random Speaker Variability Subspace Interspeech 2019 Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond NeurIPS 2019 Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction EMNLP 2019 Near Neighbor: Who is the Fairest of Them All? NeurIPS 2019 On Densification for Minwise Hashing UAI 2019 Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling NeurIPS 2019 Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS) AAAI 2019 Sublinear Time Nearest Neighbor Search over Generalized Weighted Space ICML 2019 Transferable Neural Projection Representations NAACL 2019