Hyperspherical Prototype Networks

29 January 2019

Papers citing "Hyperspherical Prototype Networks"

22 / 22 papers shown

Title
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry Martin Lindström Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund 40 0 0 10 Jul 2024
Coloring Deep CNN Layers with Activation Hue Loss Louis-Franccois Bouchard Mohsen Ben Lazreg Matthew Toews LLMSV 33 0 0 05 Oct 2023
Prototype-based Dataset Comparison Nanne van Noord 31 6 0 05 Sep 2023
Latent Distribution Adjusting for Face Anti-Spoofing Qinghong Sun Zhen-fei Yin Yichao Wu Yuanhan Zhang Jing Shao OOD CVBM 29 0 0 16 May 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Jaeill Kim Suhyun Kang Duhun Hwang Jungwook Shin Wonjong Rhee DRL 13 21 0 04 Apr 2023
Factorizers for Distributed Sparse Block Codes Michael Hersche Aleksandar Terzić G. Karunaratne Jovin Langenegger Angeline Pouget G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi 39 4 0 24 Mar 2023
Equiangular Basis Vectors Yang Shen Xuhao Sun Xiuying Wei 41 7 0 21 Mar 2023
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network Iordanis Fostiropoulos Laurent Itti 36 1 0 26 Nov 2022
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections Clément Bonet Laetitia Chapel Lucas Drumetz Nicolas Courty 16 14 0 18 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes Ning Ding Yulin Chen Ganqu Cui Xiaobin Wang Haitao Zheng Zhiyuan Liu Pengjun Xie 28 8 0 10 Nov 2022
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability Dongmin Hyun Chanyoung Park Junsu Cho Hwanjo Yu HAI 34 6 0 14 Sep 2022
Design of the topology for contrastive visual-textual alignment Zhun Sun 30 1 0 05 Sep 2022
Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning Lu Zhang Lu Qi Xu Yang Hong Qiao Ming Yang Zhiyong Liu SSL 38 3 0 01 Aug 2022
Self-supervised learning with rotation-invariant kernels Léon Zheng Gilles Puy E. Riccietti Patrick Pérez Rémi Gribonval SSL 19 2 0 28 Jul 2022
Data-Efficient Learning via Minimizing Hyperspherical Energy Xiaofeng Cao Weiyang Liu Ivor W. Tsang 19 8 0 30 Jun 2022
Maximum Class Separation as Inductive Bias in One Matrix Tejaswi Kasarla Gertjan J. Burghouts Max van Spengler Elise van der Pol Rita Cucchiara Pascal Mettes 26 22 0 17 Jun 2022
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers Louis-Franccois Bouchard Mohsen Ben Lazreg Matthew Toews 26 0 0 05 Jun 2022
Prototype Based Classification from Hierarchy to Fairness Mycal Tucker J. Shah FaML 19 6 0 27 May 2022
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 25 39 0 29 Mar 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,924 0 31 Dec 2020
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors B. Haney Alexander Lavin 11 4 0 23 May 2020
Open Cross-Domain Visual Search William Thong Pascal Mettes Cees G. M. Snoek 25 13 0 19 Nov 2019