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Metric Learning

2,854 papers

Papers per year

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Papers

RetGK: Graph Kernels based on Return Probabilities of Random Walks NIPS 2018
Bilevel Distance Metric Learning for Robust Image Recognition NIPS 2018
BourGAN: Generative Networks with Metric Embeddings NIPS 2018
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams NIPS 2018
Learning semantic similarity in a continuous space NIPS 2018
Fast Similarity Search via Optimal Sparse Lifting NIPS 2018
Computing Kantorovich-Wasserstein Distances on $d$-dimensional histograms using $(d+1)$-partite graphs NIPS 2018
Norm-Ranging LSH for Maximum Inner Product Search NIPS 2018
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions NIPS 2018
Virtual Class Enhanced Discriminative Embedding Learning NIPS 2018
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators NIPS 2018
Retrieval of the Best Counterargument without Prior Topic Knowledge ACL 2018
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks ACL 2018
Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots ACL 2018
Do Neural Network Cross-Modal Mappings Really Bridge Modalities? ACL 2018
A Rank-Based Similarity Metric for Word Embeddings ACL 2018
Scoring Lexical Entailment with a Supervised Directional Similarity Network ACL 2018
Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation ACL 2018
Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss ACML 2018
Relative Attribute Learning with Deep Attentive Cross-image Representation ACML 2018
Multi-view Metric Learning in Vector-valued Kernel Spaces AISTATS 2018
Nonparametric Preference Completion AISTATS 2018
Random Warping Series: A Random Features Method for Time-Series Embedding AISTATS 2018
Metrics for Deep Generative Models AISTATS 2018
Comparison Based Learning from Weak Oracles AISTATS 2018