← Core Methods
Machine Learning › Core Methods ›

Metric Learning

2800 directly classified papers

Papers per year

Papers

Compressed Self-Attention for Deep Metric Learning AAAI 2020
Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank EMNLP 2020
Ferryman at SemEval-2020 Task 3: Bert with TFIDF-Weighting for Predicting the Effect of Context in Word Similarity SEMEVAL 2020
Progressive Mirror Detection CVPR 2020
Compositional Phrase Alignment and Beyond EMNLP 2020
UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection SEMEVAL 2020
Automatic Detection of Phonological Errors in Child Speech Using Siamese Recurrent Autoencoder INTERSPEECH 2020
Self-Supervised Localisation between Range Sensors and Overhead Imagery RSS 2020
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation UAI 2020
On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels COLT 2020
A Siamese CNN Architecture for Learning Chinese Sentence Similarity AACL 2020
Dual Conditional Cross Entropy Scores and LASER Similarity Scores for the WMT20 Parallel Corpus Filtering Shared Task EMNLP 2020
GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems EMNLP 2020
Unsupervised Metric Relocalization Using Transform Consistency Loss CORL 2020
Within-Between Lexical Relation Classification EMNLP 2020
Team MLU@CL-SciSumm20: Methods for Computational Linguistics Scientific Citation Linkage EMNLP 2020
Robust Document Distance with Wasserstein-Fisher-Rao metric ACML 2020
Geodesically-convex optimization for averaging partially observed covariance matrices ACML 2020
Proxy Network for Few Shot Learning ACML 2020
Enhanced Sentence Alignment Network for Efficient Short Text Matching EMNLP 2020
A Linear-time Independence Criterion Based on a Finite Basis Approximation AISTATS 2020
Simultaneous Preference and Metric Learning from Paired Comparisons NIPS 2020
Provably Robust Metric Learning NIPS 2020
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning NIPS 2020
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies NIPS 2020