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Metric Learning

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Papers

MINER: Multi-Interest Matching Network for News Recommendation ACL 2022
Domain Representative Keywords Selection: A Probabilistic Approach ACL 2022
Codenames as a Game of Co-occurrence Counting ACL 2022
Conversational Search with Mixed-Initiative - Asking Good Clarification Questions backed-up by Passage Retrieval ACL 2022
UGent-T2K at the 2nd DialDoc Shared Task: A Retrieval-Focused Dialog System Grounded in Multiple Documents ACL 2022
Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks ACL 2022
Binary Encoded Word Mover’s Distance ACL 2022
Neural String Edit Distance ACL 2022
Semantic Cross Attention for Few-shot Learning ACML 2022
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback AISTATS 2022
A Witness Two-Sample Test AISTATS 2022
The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? AISTATS 2022
Pairwise Supervision Can Provably Elicit a Decision Boundary AISTATS 2022
Variational Continual Proxy-Anchor for Deep Metric Learning AISTATS 2022
Efficient Kernelized UCB for Contextual Bandits AISTATS 2022
Cycle Consistent Probability Divergences Across Different Spaces AISTATS 2022
Two-Sample Test with Kernel Projected Wasserstein Distance AISTATS 2022
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics AISTATS 2022
Non-separable Spatio-temporal Graph Kernels via SPDEs AISTATS 2022
Quadric Hypersurface Intersection for Manifold Learning in Feature Space AISTATS 2022
Entropy Regularized Optimal Transport Independence Criterion AISTATS 2022
Feature Collapsing for Gaussian Process Variable Ranking AISTATS 2022
Multicalibrated Partitions for Importance Weights ALT 2022
A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations CLEAR 2022
Adaptive Feature Discrimination and Denoising for Asymmetric Text Matching COLING 2022