Clustering-Oriented Representation Learning with Attractive-Repulsive Loss

18 December 2018

Papers citing "Clustering-Oriented Representation Learning with Attractive-Repulsive Loss"

7 / 7 papers shown

Title
Meta-learning approaches for few-shot learning: A survey of recent advancesACM Computing Surveys (ACM Comput. Surv.), 2023 Hassan Gharoun Fereshteh Momenifar Fang Chen Amir H. Gandomi OOD VLM 207 120 0 13 Mar 2023
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms Jingyi He Kc Tsiolis Kian Kenyon-Dean Jackie C.K. Cheung 225 7 0 05 Nov 2020
Learning Clusterable Visual Features for Zero-Shot Recognition Aoxiang Fan Zhixin Shu Dimitris Samaras VLM 180 1 0 07 Oct 2020
Inverse Feature Learning: Feature learning based on Representation Learning of ErrorIEEE Access (IEEE Access), 2020 B. Ghazanfari Fatemeh Afghah Mohammadtaghi Hajiaghayi SSL 144 2 0 08 Mar 2020
Deconstructing and reconstructing word embedding algorithms Edward Newell Kian Kenyon-Dean Jackie C.K. Cheung 198 4 0 29 Nov 2019
Word Embedding Algorithms as Generalized Low Rank Models and their Canonical Form Kian Kenyon-Dean 149 3 0 06 Nov 2019
EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction Diane Bouchacourt Ludovic Denoyer FAtt 185 23 0 28 May 2019