Deep Hyperspherical Learning

8 November 2017

Papers citing "Deep Hyperspherical Learning"

36 / 36 papers shown

Title
Hyperspherical Normalization for Scalable Deep Reinforcement Learning Hojoon Lee Youngdo Lee Takuma Seno Donghu Kim Peter Stone Jaegul Choo 70 1 0 24 Feb 2025
Efficient Low-Resolution Face Recognition via Bridge Distillation Shiming Ge Shengwei Zhao Chenyu Li Yu Zhang Jia Li CVBM 36 58 0 18 Sep 2024
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap Weiyang Liu L. Yu Adrian Weller Bernhard Schölkopf 37 18 0 11 Mar 2023
Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu X. Chen Chen Ma Xue Liu MQ 35 3 0 24 Dec 2022
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning Danyang Liu Xue Liu 28 0 0 24 Dec 2022
Scalar Invariant Networks with Zero Bias Chuqin Geng Xiaojie Xu Haolin Ye X. Si 26 1 0 15 Nov 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 56 12 0 11 Oct 2022
Leveraging Log Instructions in Log-based Anomaly Detection Jasmin Bogatinovski Gjorgji Madjarov S. Nedelkoski Jorge Cardoso O. Kao 32 4 0 07 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 31 22 0 17 Jun 2022
Hyperspherical Consistency Regularization Cheng Tan Zhangyang Gao Lirong Wu Siyuan Li Stan Z. Li 38 25 0 02 Jun 2022
B-cos Networks: Alignment is All We Need for Interpretability Moritz D Boehle Mario Fritz Bernt Schiele 52 85 0 20 May 2022
Quality-Aware Multimodal Biometric Recognition Sobhan Soleymani Ali Dabouei Fariborz Taherkhani Seyed Mehdi Iranmanesh J. Dawson Nasser M. Nasrabadi CVBM 30 3 0 10 Dec 2021
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric Xing OOD 47 112 0 27 Nov 2021
Iterative Teaching by Label Synthesis Weiyang Liu Zhen Liu Hanchen Wang Liam Paull Bernhard Schölkopf Adrian Weller 50 16 0 27 Oct 2021
SphereFace2: Binary Classification is All You Need for Deep Face Recognition Yandong Wen Weiyang Liu Adrian Weller Bhiksha Raj Rita Singh CVBM MQ 24 53 0 03 Aug 2021
Learning with Hyperspherical Uniformity Weiyang Liu Rongmei Lin Zhen Liu Li Xiong Bernhard Schölkopf Adrian Weller 37 35 0 02 Mar 2021
Learning by Turning: Neural Architecture Aware Optimisation Yang Liu Jeremy Bernstein M. Meister Yisong Yue ODL 45 26 0 14 Feb 2021
Heuristic Domain Adaptation Shuhao Cui Xuan Jin Shuhui Wang Yuan He Qingming Huang 30 49 0 30 Nov 2020
Alpha-Net: Architecture, Models, and Applications Jishan Shaikh Adya Sharma Ankit Chouhan Avinash Mahawar OOD 18 0 0 27 Jun 2020
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles Zhennan Wang Canqun Xiang Wenbin Zou Chen Xu 17 19 0 06 Jun 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer Xiaoxu Li Dongliang Chang Zhanyu Ma Zheng-Hua Tan Jing-Hao Xue Jie Cao Jingyi Yu Jun Guo 28 32 0 20 Apr 2020
Orthogonal Over-Parameterized Training Weiyang Liu Rongmei Lin Zhen Liu James M. Rehg Liam Paull Li Xiong Le Song Adrian Weller 32 41 0 09 Apr 2020
Angular Visual Hardness Beidi Chen Weiyang Liu Zhiding Yu Jan Kautz Anshumali Shrivastava Animesh Garg Anima Anandkumar AAML 43 51 0 04 Dec 2019
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 16 8 0 30 Nov 2019
Neural Similarity Learning Weiyang Liu Zhen Liu James M. Rehg Le Song 27 29 0 28 Oct 2019
Regularizing Neural Networks via Minimizing Hyperspherical Energy Rongmei Lin Weiyang Liu Zhen Liu Chen Feng Zhiding Yu James M. Rehg Li Xiong Le Song 30 36 0 12 Jun 2019
Hyperspherical Prototype Networks Pascal Mettes Elise van der Pol Cees G. M. Snoek 24 123 0 29 Jan 2019
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature Franz J. Király Bilal A. Mateen R. Sonabend 23 10 0 18 Dec 2018
Super-Identity Convolutional Neural Network for Face Hallucination Kaipeng Zhang Zhanpeng Zhang Chia-Wen Cheng Winston H. Hsu L. Burget Wen Liu Tong Zhang SupR 26 131 0 06 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 21 22 0 03 Nov 2018
Learning Hash Codes via Hamming Distance Targets M. Lončarić Bowei Liu Ryan Weber MQ 21 4 0 01 Oct 2018
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond Xingguo Li Junwei Lu Zhaoran Wang Jarvis Haupt T. Zhao 27 78 0 13 Jun 2018
Large-scale Bisample Learning on ID Versus Spot Face Recognition Xiangyu Zhu Hao Liu Zhen Lei Hailin Shi Fan Yang Dong Yi Guojun Qi Stan Z. Li CVBM 32 47 0 08 Jun 2018
geomstats: a Python Package for Riemannian Geometry in Machine Learning Nina Miolane Johan Mathe Claire Donnat Mikael Jorda Xavier Pennec AI4CE 37 123 0 21 May 2018
Decoupled Networks Weiyang Liu Zichen Liu Zhiding Yu Bo Dai Rongmei Lin Yisen Wang James M. Rehg Le Song OOD 19 65 0 22 Apr 2018