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Metric Learning

2,854 papers

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Papers

Tree! I am no Tree! I am a low dimensional Hyperbolic Embedding NIPS 2020
Sinkhorn Barycenter via Functional Gradient Descent NIPS 2020
Restoring Negative Information in Few-Shot Object Detection NIPS 2020
Learning to Approximate a Bregman Divergence NIPS 2020
CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code Matching NIPS 2020
Multi-task Batch Reinforcement Learning with Metric Learning NIPS 2020
Detecting Interactions from Neural Networks via Topological Analysis NIPS 2020
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss NIPS 2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction NIPS 2020
Generalization Bound of Gradient Descent for Non-Convex Metric Learning NIPS 2020
HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory NIPS 2020
On Adaptive Distance Estimation NIPS 2020
On Convergence of Nearest Neighbor Classifiers over Feature Transformations NIPS 2020
RANet: Region Attention Network for Semantic Segmentation NIPS 2020
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network NIPS 2020
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning NIPS 2020
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation NIPS 2020
Unbalanced Sobolev Descent NIPS 2020
The Dilemma of TriHard Loss and an Element-Weighted TriHard Loss for Person Re-Identification NIPS 2020
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies NIPS 2020
Deep Metric Learning with Spherical Embedding NIPS 2020
Provably Robust Metric Learning NIPS 2020
Sharper Generalization Bounds for Pairwise Learning NIPS 2020
Geometric Dataset Distances via Optimal Transport NIPS 2020
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation CORL 2020