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Maximum Class Separation as Inductive Bias in One Matrix

17 June 2022

Papers citing "Maximum Class Separation as Inductive Bias in One Matrix"

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Title
GIF: Generative Inspiration for Face Recognition at Scale Saeed Ebrahimi Sahar Rahimi Ali Dabouei Srinjoy Das Jeremy M. Dawson Nasser M. Nasrabadi CVBM 503 0 0 05 May 2025
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry Martin Lindström Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund 86 0 0 10 Jul 2024
Deep Continuous Networks Nergis Tomen S. Pintea Jan van Gemert 129 14 0 02 Feb 2024
Learning Towards the Largest Margins Xiong Zhou Xianming Liu Deming Zhai Junjun Jiang Xin Gao Xiangyang Ji 53 12 0 23 Jun 2022
Equivariant $Q$ Learning in Spatial Action Spaces Dian Wang Robin Walters Xu Zhu Robert Platt 86 78 0 28 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 228 433 0 12 Oct 2021
Multi-Agent MDP Homomorphic Networks Elise van der Pol H. V. Hoof F. Oliehoek Max Welling AI4CE 82 30 0 09 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing Johannes Brandstetter Rob D. Hesselink Elise van der Pol Erik J. Bekkers Max Welling 95 244 0 06 Oct 2021
On Measuring and Controlling the Spectral Bias of the Deep Image Prior Prithvijit Chakrabarty Pascal Mettes Subhransu Maji Cees G. M. Snoek 70 61 0 02 Jul 2021
Hyperbolic Busemann Learning with Ideal Prototypes Mina Ghadimi Atigh Martin Keller-Ressel Pascal Mettes 91 40 0 28 Jun 2021
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias Yufei Xu Qiming Zhang Jing Zhang Dacheng Tao ViT 154 338 0 07 Jun 2021
A Geometric Analysis of Neural Collapse with Unconstrained Features Zhihui Zhu Tianyu Ding Jinxin Zhou Xiao Li Chong You Jeremias Sulam Qing Qu 69 205 0 06 May 2021
Improving Calibration for Long-Tailed Recognition Zhisheng Zhong Jiequan Cui Shu Liu Jiaya Jia 122 302 0 01 Apr 2021
Orthogonal Projection Loss Kanchana Ranasinghe Muzammal Naseer Munawar Hayat Salman Khan Fahad Shahbaz Khan VLM 58 72 0 25 Mar 2021
Learning with Hyperspherical Uniformity Weiyang Liu Rongmei Lin Zhen Liu Li Xiong Bernhard Schölkopf Adrian Weller 108 36 0 02 Mar 2021
Symmetry-Aware Actor-Critic for 3D Molecular Design G. Simm Robert Pinsler Gábor Csányi José Miguel Hernández-Lobato AI4CE 70 65 0 25 Nov 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,371 0 08 Oct 2020
Prevalence of Neural Collapse during the terminal phase of deep learning training Vardan Papyan Xuemei Han D. Donoho 205 582 0 18 Aug 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning Elise van der Pol Daniel E. Worrall H. V. Hoof F. Oliehoek Max Welling BDL AI4CE 77 162 0 30 Jun 2020
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles Zhennan Wang Canqun Xiang Wenbin Zou Chen Xu 75 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 79 32 0 20 Apr 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 127 881 0 06 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 532 42,559 0 03 Dec 2019
Orthogonal Convolutional Neural Networks Jiayun Wang Yubei Chen Rudrasis Chakraborty Stella X. Yu 79 190 0 27 Nov 2019
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Raymond A. Yeh Alex Schwing 64 83 0 31 Oct 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 125 149 0 14 Oct 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 71 179 0 27 Sep 2019
Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks David Pfau J. Spencer A. G. Matthews W. Foulkes 84 465 0 05 Sep 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 127 1,607 0 18 Jun 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 84 39 0 12 Jun 2019
Cormorant: Covariant Molecular Neural Networks Brandon M. Anderson Truong-Son Hy Risi Kondor 101 425 0 06 Jun 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 67 167 0 28 May 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 151 1,163 0 10 Apr 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 111 413 0 11 Feb 2019
Hyperspherical Prototype Networks Pascal Mettes Elise van der Pol Cees G. M. Snoek 80 126 0 29 Jan 2019
Equivariant Transformer Networks Kai Sheng Tai Peter Bailis Gregory Valiant ViT 87 71 0 25 Jan 2019
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 202 2,289 0 16 Jan 2019
Graph Convolutional Reinforcement Learning Jiechuan Jiang Chen Dun Tiejun Huang Zongqing Lu GNN 60 338 0 22 Oct 2018
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs? Nitin Bansal Xiaohan Chen Zhangyang Wang OOD 82 188 0 22 Oct 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 192 2,062 0 10 Jul 2018
Group Equivariant Capsule Networks J. E. Lenssen Matthias Fey Pascal Libuschewski 70 109 0 13 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 766 3,129 0 04 Jun 2018
Learning towards Minimum Hyperspherical Energy Weiyang Liu Rongmei Lin Ziqiang Liu Lixin Liu Zhiding Yu Bo Dai Le Song 80 151 0 23 May 2018
Decoupled Networks Weiyang Liu Ziqiang Liu Zhiding Yu Bo Dai Rongmei Lin Yisen Wang James M. Rehg Le Song OOD 55 70 0 22 Apr 2018
Ring loss: Convex Feature Normalization for Face Recognition Yutong Zheng Dipan K. Pal Marios Savvides CVBM 72 198 0 28 Feb 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 98 977 0 22 Feb 2018
CosFace: Large Margin Cosine Loss for Deep Face Recognition Haobo Wang Yitong Wang Zheng Zhou Xing Ji Dihong Gong Jin Zhou Zhifeng Li Wei Liu CVBM MQ 133 2,510 0 29 Jan 2018
Deep Hyperspherical Learning Weiyang Liu Yanming Zhang Xingguo Li Zhen Liu Bo Dai T. Zhao Le Song 64 136 0 08 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,225 0 30 Oct 2017
SphereFace: Deep Hypersphere Embedding for Face Recognition Weiyang Liu Yandong Wen Zhiding Yu Ming Li Bhiksha Raj Le Song CVBM 234 2,804 0 26 Apr 2017