conftrace_
← Core Methods
Machine Learning › Core Methods ›

Metric Learning

2,854 papers

Papers per year

6
21
102
261
222
'05
'10
'15
'20
'25

Papers

Targeted Keyword Filtering for Accelerated Spoken Topic Identification INTERSPEECH 2021
AntVoice Neural Speaker Embedding System for FFSVC 2020 INTERSPEECH 2021
Manifold-Aware Deep Clustering: Maximizing Angles Between Embedding Vectors Based on Regular Simplex INTERSPEECH 2021
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding INTERSPEECH 2021
MetricNet: Towards Improved Modeling For Non-Intrusive Speech Quality Assessment INTERSPEECH 2021
Continuous Speech Separation Using Speaker Inventory for Long Recording INTERSPEECH 2021
Robust End-to-End Speaker Diarization with Conformer and Additive Margin Penalty INTERSPEECH 2021
Learning to Rank Microphones for Distant Speech Recognition INTERSPEECH 2021
Quantifying Vocal Tract Shape Variation and its Acoustic Impact: A Geometric Morphometric Approach INTERSPEECH 2021
Text Anchor Based Metric Learning for Small-Footprint Keyword Spotting INTERSPEECH 2021
Metric Learning Based Feature Representation with Gated Fusion Model for Speech Emotion Recognition INTERSPEECH 2021
Adaptive Margin Circle Loss for Speaker Verification INTERSPEECH 2021
Masked Proxy Loss for Text-Independent Speaker Verification INTERSPEECH 2021
RaSE: Random Subspace Ensemble Classification JMLR 2021
GemBag: Group Estimation of Multiple Bayesian Graphical Models JMLR 2021
Kernel Operations on the GPU, with Autodiff, without Memory Overflows JMLR 2021
Oblivious Data for Fairness with Kernels JMLR 2021
Hierarchical Information Criterion for Variable Abstraction MLHC 2021
Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products NAACL 2021
EnSidNet: Enhanced Hybrid Siamese-Deep Network for grouping clinical trials into drug-development pathways NAACL 2021
Few-shot Intent Classification and Slot Filling with Retrieved Examples NAACL 2021
Understanding Hard Negatives in Noise Contrastive Estimation NAACL 2021
Non-Parametric Few-Shot Learning for Word Sense Disambiguation NAACL 2021
WRIME: A New Dataset for Emotional Intensity Estimation with Subjective and Objective Annotations NAACL 2021
Knowledge Guided Metric Learning for Few-Shot Text Classification NAACL 2021