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Learning with Hyperspherical Uniformity

International Conference on Artificial Intelligence and Statistics (AISTATS), 2021

2 March 2021

Papers citing "Learning with Hyperspherical Uniformity"

29 / 29 papers shown

Title
Energy-Regularized Sequential Model Editing on Hyperspheres Qingyuan Liu Jia-Chen Gu Yunzhi Yao Hong Wang Nanyun Peng KELM 196 0 0 01 Oct 2025
Spectral Scaling Laws in Language Models: How Effectively Do Feed-Forward Networks Use Their Latent Space? N. Jha Brandon Reagen 84 0 0 01 Oct 2025
Orthogonal Finetuning Made Scalable Zeju Qiu Weiyang Liu Adrian Weller Bernhard Schölkopf 157 1 0 24 Jun 2025
Negative-Free Self-Supervised Gaussian Embedding of GraphsNeural Networks (NN), 2024 Yunhui Liu Tieke He Tao Zheng Jianhua Zhao SSL 276 3 0 02 Nov 2024
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKANeural Information Processing Systems (NeurIPS), 2024 David Smerkous Qinxun Bai Fuxin Li BDL 297 2 0 31 Oct 2024
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses Panagiotis Koromilas Giorgos Bouritsas Theodoros Giannakopoulos M. Nicolaou Yannis Panagakis 188 7 0 28 May 2024
Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient Mingxin Li Richong Zhang Zhijie Nie SSL 148 1 0 28 Feb 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning Ha Min Son M. Kim Tai-Myung Chung Chao Huang Xin Liu FedML 144 8 0 27 Feb 2024
Pairwise Similarity Learning is SimPLE Yandong Wen Weiyang Liu Yao Feng Bhiksha Raj Rita Singh Adrian Weller Michael J. Black Bernhard Schölkopf 258 9 0 13 Oct 2023
Hyperspherical Embedding for Point Cloud CompletionComputer Vision and Pattern Recognition (CVPR), 2023 Junming Zhang Haomeng Zhang Ram Vasudevan Matthew Johnson-Roberson 3DPC 162 6 0 11 Jul 2023
Novel Categories Discovery Via Constraints on Empirical Prediction Statistics Zahid Hasan A. Faridee Masud Ahmed S. Purushotham H. Kwon Hyungtae Lee Nirmalya Roy 235 2 0 07 Jul 2023
Latent SDEs on Homogeneous SpacesNeural Information Processing Systems (NeurIPS), 2023 Sebastian Zeng Florian Graf Roland Kwitt BDL 280 11 0 28 Jun 2023
Controlling Text-to-Image Diffusion by Orthogonal FinetuningNeural Information Processing Systems (NeurIPS), 2023 Zeju Qiu Wei-yu Liu Haiwen Feng Yuxuan Xue Yao Feng Zhen Liu Dan Zhang Adrian Weller Bernhard Schölkopf DiffM 291 211 0 12 Jun 2023
A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular InformationACM Conference on Health, Inference, and Learning (CHIL), 2023 George H. Chen 95 1 0 11 May 2023
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity GapInternational Conference on Learning Representations (ICLR), 2023 Weiyang Liu L. Yu Adrian Weller Bernhard Schölkopf 196 23 0 11 Mar 2023
Hyperspherical Quantization: Toward Smaller and More Accurate ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Dan Liu X. Chen Chen Ma Xue Liu MQ 141 4 0 24 Dec 2022
Deep Simplex Classifier for Maximizing the Margin in Both Euclidean and Angular SpacesScandinavian Conference on Image Analysis (SCIA), 2022 Hakan Çevikalp Hasan Saribas 120 7 0 22 Dec 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 159 17 0 11 Oct 2022
Data-Efficient Learning via Minimizing Hyperspherical EnergyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Xiaofeng Cao Weiyang Liu Ivor W. Tsang 155 12 0 30 Jun 2022
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy GuaranteeJournal of machine learning research (JMLR), 2022 George H. Chen 649 4 0 21 Jun 2022
Maximum Class Separation as Inductive Bias in One MatrixNeural Information Processing Systems (NeurIPS), 2022 Tejaswi Kasarla Gertjan J. Burghouts Max van Spengler Elise van der Pol Rita Cucchiara Pascal Mettes 221 25 0 17 Jun 2022
Hyperspherical Consistency RegularizationComputer Vision and Pattern Recognition (CVPR), 2022 Cheng Tan Zhangyang Gao Lirong Wu Siyuan Li Stan Z. Li 166 27 0 02 Jun 2022
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of RedundancyComputer Vision and Pattern Recognition (CVPR), 2022 Tianlong Chen Zhenyu Zhang Yu Cheng Ahmed Hassan Awadallah Zinan Lin ViT 218 49 0 12 Mar 2022
Geometric Regularization from Overparameterization Nicholas J. Teague 102 1 0 18 Feb 2022
RELAX: Representation Learning ExplainabilityInternational Journal of Computer Vision (IJCV), 2021 Kristoffer Wickstrøm Daniel J. Trosten Sigurd Løkse Ahcène Boubekki Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen FAtt 176 19 0 19 Dec 2021
Iterative Teaching by Label Synthesis Weiyang Liu Zhen Liu Hanchen Wang Liam Paull Bernhard Schölkopf Adrian Weller 290 17 0 27 Oct 2021
SphereFace Revived: Unifying Hyperspherical Face Recognition Weiyang Liu Yandong Wen Bhiksha Raj Rita Singh Adrian Weller 3DH CVBM 242 51 0 12 Sep 2021
SphereFace2: Binary Classification is All You Need for Deep Face Recognition Yandong Wen Weiyang Liu Adrian Weller Bhiksha Raj Rita Singh CVBM MQ 204 63 0 03 Aug 2021
Orthogonal Over-Parameterized TrainingComputer Vision and Pattern Recognition (CVPR), 2020 Weiyang Liu Rongmei Lin Zhen Liu James M. Rehg Liam Paull Li Xiong Le Song Adrian Weller 258 48 0 09 Apr 2020