nearest neighbor search

Learning to Hash Robustly, Guaranteed ICML 2022 One Loss for Quantization: Deep Hashing With Discrete Wasserstein Distributional Matching CVPR 2022 Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction EMNLP 2022 RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval ICML 2022 Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition WACV 2022 Speech Sequence Embeddings using Nearest Neighbors Contrastive Learning Interspeech 2022 Stars: Tera-Scale Graph Building for Clustering and Learning NeurIPS 2022 Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification EMNLP 2022 TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s NeurIPS 2022 h-DBSCAN: A simple fast DBSCAN algorithm for big data ACML 2021 A Fast Discrete Two-Step Learning Hashing for Scalable Cross-Modal Retrieval Interspeech 2021 MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training ICLR 2021 Nearest Neighbor Machine Translation ICLR 2021 Nearest neighbor search under uncertainty UAI 2021 Practical Near Neighbor Search via Group Testing NeurIPS 2021 Product Quantizer Aware Inverted Index for Scalable Nearest Neighbor Search ICCV 2021 Quasi-Dense Similarity Learning for Multiple Object Tracking CVPR 2021 When Hashing Met Matching: Efficient Spatio-Temporal Search for Ridesharing AAAI 2021 Adversarial Attack on Deep Product Quantization Network for Image Retrieval AAAI 2020 BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA EMNLP 2020 Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors CVPR 2020 Efficient Querying from Weighted Binary Codes AAAI 2020 Embedding-based Scientific Literature Discovery in a Text Editor Application ACL 2020 Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation NeurIPS 2020 Fast geometric learning with symbolic matrices NeurIPS 2020