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Metric Learning

2800 directly classified papers

Papers per year

Papers

Efficient and Deep Person Re-Identification Using Multi-Level Similarity CVPR 2018
Deep Group-Shuffling Random Walk for Person Re-Identification CVPR 2018
Learning to Detect Features in Texture Images CVPR 2018
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval CVPR 2018
Group Consistent Similarity Learning via Deep CRF for Person Re-Identification CVPR 2018
Bidirectional Retrieval Made Simple CVPR 2018
Towards Qualitative Word Embeddings Evaluation: Measuring Neighbors Variation NAACL 2018
Deep Cauchy Hashing for Hamming Space Retrieval CVPR 2018
Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared task EMNLP 2018
Keep It or Not: Word Level Quality Estimation for Post-Editing EMNLP 2018
Low-Shot Learning With Imprinted Weights CVPR 2018
Revisiting $(\epsilon, \gamma, \tau)$-similarity learning for domain adaptation NIPS 2018
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams NIPS 2018
Compare and Contrast: Learning Prominent Visual Differences CVPR 2018
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions NIPS 2018
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators NIPS 2018
Ranking Median Regression: Learning to Order through Local Consensus ALT 2018
The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with Covariates ALT 2018
RetGK: Graph Kernels based on Return Probabilities of Random Walks NIPS 2018
Virtual Class Enhanced Discriminative Embedding Learning NIPS 2018
Learning semantic similarity in a continuous space NIPS 2018
Addressing the Winograd Schema Challenge as a Sequence Ranking Task COLING 2018
Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification CVPR 2018
TADAM: Task dependent adaptive metric for improved few-shot learning NIPS 2018
Large Margin Deep Networks for Classification NIPS 2018