OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning

5 December 2017

Papers citing "OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning"

47 / 47 papers shown

Title
FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes Fucheng Guo Zeyu Luan Qing Li Dan Zhao Yong-jia Jiang FedML 48 0 0 22 Feb 2025
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Xiaojie Yu Haibo Zhang Lizhi Peng Fengyang Sun Jeremiah Deng 66 0 0 27 Nov 2024
Learning to Balance: Diverse Normalization for Cloth-Changing Person Re-Identification Hongjun Wang Jiyuan Chen Zhengwei Yin Xuan Song Yinqiang Zheng CVBM 18 1 0 04 Oct 2024
Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal Mapping Haoran Zhu Yifan Zhou Chang Xu Ruixiang Zhang Wen Yang 50 0 0 25 Jul 2024
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation You-Wei Luo Chuan-Xian Ren Xiao-Lin Xu Qingshan Liu 50 1 0 24 Jun 2024
PaCE: Parsimonious Concept Engineering for Large Language Models Jinqi Luo Tianjiao Ding Kwan Ho Ryan Chan D. Thaker Aditya Chattopadhyay Chris Callison-Burch René Vidal CVBM 35 7 0 06 Jun 2024
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning Seongyoon Kim Minchan Jeong Sungnyun Kim Sungwoo Cho Sumyeong Ahn Se-Young Yun FedML 47 0 0 04 Jun 2024
Learning Visual-Semantic Subspace Representations Gabriel Moreira Alexander Hauptmann Manuel Marques João Paulo Costeira NAI 31 0 0 25 May 2024
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets Lorenzo Brigato S. Mougiakakou 27 3 0 04 Sep 2023
Distortion-Disentangled Contrastive Learning Jinfeng Wang Sifan Song Jionglong Su S. Kevin Zhou SSL 41 4 0 09 Mar 2023
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations T. Yerxa Yilun Kuang Eero P. Simoncelli SueYeon Chung 13 0 0 06 Mar 2023
On Interpretable Approaches to Cluster, Classify and Represent Multi-Subspace Data via Minimum Lossy Coding Length based on Rate-Distortion Theory Kaige Lu Avraham Chapman 23 0 0 21 Feb 2023
Image Classification with Small Datasets: Overview and Benchmark Lorenzo Brigato Björn Barz Luca Iocchi Joachim Denzler VLM 30 17 0 23 Dec 2022
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification Ying Bi Bing Xue Mengjie Zhang VLM 79 15 0 27 Sep 2022
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels Zhongchen Ma Lisha Li Qi-rong Mao Songcan Chen 28 1 0 03 Sep 2022
SphereFed: Hyperspherical Federated Learning Xin Dong S. Zhang Ang Li H. T. Kung FedML 42 19 0 19 Jul 2022
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy Tianlong Chen Zhenyu (Allen) Zhang Yu Cheng Ahmed Hassan Awadallah Zhangyang Wang ViT 35 37 0 12 Mar 2022
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data C. Cui Han Liu Quan Liu Ruining Deng Zuhayr Asad Shilin Zhao Haichun Yang Bennett A. Landman Yuankai Huo 18 23 0 08 Mar 2022
Object-centric and memory-guided normality reconstruction for video anomaly detection K. Bergaoui Yassine Naji Aleksandr Setkov Angélique Loesch M. Gouiffès Romaric Audigier 17 6 0 07 Mar 2022
Geometry-Aware Unsupervised Domain Adaptation You-Wei Luo Chuan-Xian Ren Ziliang Chen 13 0 0 21 Dec 2021
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification Lorenzo Brigato Björn Barz Luca Iocchi Joachim Denzler 30 16 0 30 Aug 2021
Parametric Scattering Networks Shanel Gauthier Benjamin Thérien Laurent Alsene-Racicot Muawiz Chaudhary Irina Rish Eugene Belilovsky Michael Eickenberg Guy Wolf 21 16 0 20 Jul 2021
Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data Nathaniel Braman Jacob Gordon Emery T. Goossens Caleb Willis Martin C. Stumpe Jagadish Venkataraman 16 62 0 01 Jul 2021
FedBABU: Towards Enhanced Representation for Federated Image Classification Jaehoon Oh Sangmook Kim Se-Young Yun FedML 26 200 0 04 Jun 2021
Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models B. La Rosa Roberto Capobianco Daniele Nardi VLM 17 9 0 01 Jun 2021
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation Jin-Hwa Kim Do-Hyeong Kim Saehoon Yi Taehoon Lee 21 53 0 31 May 2021
Orthogonal Projection Loss Kanchana Ranasinghe Muzammal Naseer Munawar Hayat Salman Khan F. Khan VLM 19 67 0 25 Mar 2021
OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space Sungkwon An Jeonghoon Kim Myung-joo Kang Shahbaz Razaei Xin Liu 16 0 0 07 Jan 2021
Interpreting Robust Optimization via Adversarial Influence Functions Zhun Deng Cynthia Dwork Jialiang Wang Linjun Zhang TDI 9 12 0 03 Oct 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and Application Lei Huang Jie Qin Yi Zhou Fan Zhu Li Liu Ling Shao AI4CE 10 254 0 27 Sep 2020
A Differential Game Theoretic Neural Optimizer for Training Residual Networks Guan-Horng Liu T. Chen Evangelos A. Theodorou 18 2 0 17 Jul 2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction Yaodong Yu Kwan Ho Ryan Chan Chong You Chaobing Song Yi-An Ma SSL 24 189 0 15 Jun 2020
Expand Globally, Shrink Locally: Discriminant Multi-label Learning with Missing Labels Zhongchen Ma Songcan Chen 11 57 0 08 Apr 2020
Robust Self-Supervised Convolutional Neural Network for Subspace Clustering and Classification Dario Sitnik I. Kopriva 14 1 0 03 Apr 2020
Controllable Orthogonalization in Training DNNs Lei Huang Li Liu Fan Zhu Diwen Wan Zehuan Yuan Bo Li Ling Shao 16 42 0 02 Apr 2020
HERS: Homomorphically Encrypted Representation Search Joshua J. Engelsma Anil K. Jain Vishnu Naresh Boddeti 32 49 0 27 Mar 2020
DDPNOpt: Differential Dynamic Programming Neural Optimizer Guan-Horng Liu T. Chen Evangelos A. Theodorou 16 7 0 20 Feb 2020
Concept Whitening for Interpretable Image Recognition Zhi Chen Yijie Bei Cynthia Rudin FAtt 25 313 0 05 Feb 2020
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains Sathya Ravi Abhay Venkatesh G. Fung Vikas Singh 17 3 0 26 Sep 2019
Multi-view Deep Subspace Clustering Networks Pengfei Zhu Changqing Zhang Longyin Wen Binyuan Hui Dawei Du Q. Hu 61 73 0 06 Aug 2019
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation Zhao Zhang Jiahuan Ren Sheng R. Li Richang Hong Zhengjun Zha Meng Wang 14 48 0 04 Aug 2019
Self-Supervised Convolutional Subspace Clustering Network Junjian Zhang Chun-Guang Li Chong You Xianbiao Qi Honggang Zhang Jun Guo Zhouchen Lin SSL 11 145 0 01 May 2019
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection Chieh-Hsin Lai Dongmian Zou Gilad Lerman UQCV 21 58 0 30 Mar 2019
Taming the Cross Entropy Loss Manuel Martínez Rainer Stiefelhagen NoLa 16 46 0 11 Oct 2018
Low Rank Regularization: A Review Zhanxuan Hu Feiping Nie Rong Wang Xuelong Li 22 77 0 14 Aug 2018
Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning Wei Zhu Qiang Qiu Bao Wang Jianfeng Lu Guillermo Sapiro Ingrid Daubechies 11 3 0 18 May 2018
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks Qiang Qiu José Lezama A. Bronstein Guillermo Sapiro 18 8 0 22 Nov 2017