nearest neighbor

Fast Rates for Structured Prediction COLT 2021 Incremental few-shot learning via vector quantization in deep embedded space ICLR 2021 Instance-Conditioned GAN NeurIPS 2021 Knowing the No-match: Entity Alignment with Dangling Cases ACL 2021 Margin-Independent Online Multiclass Learning via Convex Geometry NeurIPS 2021 Nearest Neighbor Matching for Deep Clustering CVPR 2021 Nearest Neighbour Few-Shot Learning for Cross-lingual Classification EMNLP 2021 Non-parametric Quantile Regression via the K-NN Fused Lasso JMLR 2021 On a Utilitarian Approach to Privacy Preserving Text Generation NAACL 2021 On Episodes, Prototypical Networks, and Few-Shot Learning NeurIPS 2021 TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora NAACL 2021 Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation AAAI 2021 Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces JMLR 2021 γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator AISTATS 2021 Adversarial Attack on Deep Product Quantization Network for Image Retrieval AAAI 2020 BLEU Neighbors: A Reference-less Approach to Automatic Evaluation EMNLP 2020 Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors CVPR 2020 Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid AAAI 2020 Fast and Bayes-consistent nearest neighbors AISTATS 2020 Generalization through Memorization: Nearest Neighbor Language Models ICLR 2020 Just Go With the Flow: Self-Supervised Scene Flow Estimation CVPR 2020 Lexical Relation Mining in Neural Word Embeddings COLING 2020 Meta-Neighborhoods NeurIPS 2020 Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects NeurIPS 2020 Neighborhood Growth Determines Geometric Priors for Relational Representation Learning AISTATS 2020