Learning Neural Models for End-to-End Clustering

11 July 2018

Papers citing "Learning Neural Models for End-to-End Clustering"

6 / 6 papers shown

Title
The Group Loss++: A deeper look into group loss for deep metric learning Ismail Elezi Jenny Seidenschwarz Laurin Wagner Sebastiano Vascon Alessandro Torcinovich Marcello Pelillo Laura Leal-Taixe 24 12 0 04 Apr 2022
Encoder-Decoder Based Attractors for End-to-End Neural Diarization Shota Horiguchi Yusuke Fujita Shinji Watanabe Yawen Xue Leibny Paola García-Perera 34 64 0 20 Jun 2021
End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors Shota Horiguchi Yusuke Fujita Shinji Watanabe Yawen Xue Kenji Nagamatsu 37 185 0 20 May 2020
Automated Machine Learning in Practice: State of the Art and Recent Results Lukas Tuggener Mohammadreza Amirian Katharina Rombach Stefan Lörwald Anastasia Varlet Christian Westermann Thilo Stadelmann 6 63 0 19 Jul 2019
Recurrent Deep Divergence-based Clustering for simultaneous feature learning and clustering of variable length time series Daniel J. Trosten Andreas Storvik Strauman Michael C. Kampffmeyer Robert Jenssen 11 14 0 29 Nov 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016