locality sensitive hashing

DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search AISTATS 2022 DevFly: Bio-Inspired Development of Binary Connections for Locality Preserving Sparse Codes NeurIPS 2022 Estimating transfer entropy under long ranged dependencies UAI 2022 Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search NeurIPS 2022 Federated Nearest Neighbor Classification with a Colony of Fruit-Flies AAAI 2022 HashFormers: Towards Vocabulary-independent Pre-trained Transformers EMNLP 2022 Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences AAAI 2022 Learning to Hash Robustly, Guaranteed ICML 2022 Locality-Sensitive Hashing for Long Context Neural Machine Translation ACL 2022 Revisiting Locality Sensitive Hashing for Vocabulary Selection in Fast Neural Machine Translation EMNLP 2022 SignRFF: Sign Random Fourier Features NeurIPS 2022 Sparse Attention with Learning to Hash ICLR 2022 A Strong Baseline for Query Efficient Attacks in a Black Box Setting EMNLP 2021 Image Super-Resolution With Non-Local Sparse Attention CVPR 2021 LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning NeurIPS 2021 MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training ICLR 2021 On-Device Text Representations Robust To Misspellings via Projections EACL 2021 Practical Near Neighbor Search via Group Testing NeurIPS 2021 ProFormer: Towards On-Device LSH Projection Based Transformers EACL 2021 Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More ICML 2021 Scatterbrain: Unifying Sparse and Low-rank Attention NeurIPS 2021 When Hashing Met Matching: Efficient Spatio-Temporal Search for Ridesharing AAAI 2021 You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling ICML 2021 Bio-Inspired Hashing for Unsupervised Similarity Search ICML 2020 COD3S: Diverse Generation with Discrete Semantic Signatures EMNLP 2020