Angular Visual Hardness

4 December 2019

Anshumali Shrivastava

Papers citing "Angular Visual Hardness"

38 / 38 papers shown

Title
Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Cross-Regularization Jinlong Li Zequn Jie Elisa Ricci Lin Ma N. Sebe VLM 34 0 0 11 Jul 2024
Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration Gyusang Cho Chan-Hyun Youn 23 0 0 14 Jun 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning Prashant Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 40 2 0 28 Apr 2024
Recurrent Aligned Network for Generalized Pedestrian Trajectory Prediction Yonghao Dong Le Wang Sanpin Zhou Gang Hua Changyin Sun 37 5 0 09 Mar 2024
TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective Jun Dan Yang Liu Haoyu Xie Jiankang Deng H. Xie Xuansong Xie Baigui Sun ViT 20 21 0 20 Aug 2023
Controlling Text-to-Image Diffusion by Orthogonal Finetuning Zeju Qiu Wei-yu Liu Haiwen Feng Yuxuan Xue Yao Feng Zhen Liu Dan Zhang Adrian Weller Bernhard Schölkopf DiffM 38 134 0 12 Jun 2023
Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu X. Chen Chen-li Ma Xue Liu MQ 18 3 0 24 Dec 2022
Hyperspherical Loss-Aware Ternary Quantization Dan Liu Xue Liu MQ 17 0 0 24 Dec 2022
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach Haoxu Wang Junchi Yan 19 1 0 03 Dec 2022
Iterative Teaching by Data Hallucination Zeju Qiu Weiyang Liu Tim Z. Xiao Zhen Liu Umang Bhatt Yucen Luo Adrian Weller Bernhard Schölkopf 29 9 0 31 Oct 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 42 12 0 11 Oct 2022
BoundaryFace: A mining framework with noise label self-correction for Face Recognition Shijie Wu Xun Gong NoLa 24 11 0 10 Oct 2022
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration Bohua Peng Mobarakol Islam Mei Tu UQCV 11 9 0 18 Jul 2022
Data-Efficient Learning via Minimizing Hyperspherical Energy Xiaofeng Cao Weiyang Liu Ivor W. Tsang 14 8 0 30 Jun 2022
"Understanding Robustness Lottery": A Geometric Visual Comparative Analysis of Neural Network Pruning Approaches Zhimin Li Shusen Liu Xin Yu Kailkhura Bhavya Jie Cao Diffenderfer James Daniel P. Bremer Valerio Pascucci AAML 25 1 0 16 Jun 2022
Hyperspherical Consistency Regularization Cheng Tan Zhangyang Gao Lirong Wu Siyuan Li Stan Z. Li 20 24 0 02 Jun 2022
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric P. Xing OOD 17 112 0 27 Nov 2021
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition Junjiao Tian Dylan Yung Yen-Chang Hsu Z. Kira 15 23 0 27 Oct 2021
Iterative Teaching by Label Synthesis Weiyang Liu Zhen Liu Hanchen Wang Liam Paull Bernhard Schölkopf Adrian Weller 35 16 0 27 Oct 2021
SphereFace Revived: Unifying Hyperspherical Face Recognition Weiyang Liu Yandong Wen Bhiksha Raj Rita Singh Adrian Weller 3DH CVBM 23 39 0 12 Sep 2021
Discriminator-Free Generative Adversarial Attack Shaohao Lu Yuqiao Xian Ke Yan Yi Hu Xing Sun Xiaowei Guo Feiyue Huang Weishi Zheng AAML GAN 25 20 0 20 Jul 2021
On The Distribution of Penultimate Activations of Classification Networks Minkyo Seo Yoonho Lee Suha Kwak UQCV 11 4 0 05 Jul 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 19 31 0 09 Jun 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 12 38 0 29 Mar 2021
Learning with Hyperspherical Uniformity Weiyang Liu Rongmei Lin Zhen Liu Li Xiong Bernhard Schölkopf Adrian Weller 24 35 0 02 Mar 2021
Parameter Efficient Multimodal Transformers for Video Representation Learning Sangho Lee Youngjae Yu Gunhee Kim Thomas Breuel Jan Kautz Yale Song ViT 13 76 0 08 Dec 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems N. Sohoni Jared A. Dunnmon Geoffrey Angus Albert Gu Christopher Ré 11 240 0 25 Nov 2020
Why Do Better Loss Functions Lead to Less Transferable Features? Simon Kornblith Ting-Li Chen Honglak Lee Mohammad Norouzi FaML 22 90 0 30 Oct 2020
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach Haoxu Wang Zhiding Yu Yisong Yue Anima Anandkumar Anqi Liu Junchi Yan OOD UQCV 11 4 0 08 Oct 2020
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification Yang Zou Xiaodong Yang Zhiding Yu B. Kumar Jan Kautz 17 212 0 20 Jul 2020
Deep Feature Space: A Geometrical Perspective Ioannis Kansizoglou Loukas Bampis Antonios Gasteratos 23 40 0 30 Jun 2020
More Information Supervised Probabilistic Deep Face Embedding Learning Ying Huang Shangfeng Qiu Wenwei Zhang Xianghui Luo Jinzhuo Wang CVBM 14 2 0 08 Jun 2020
Orthogonal Over-Parameterized Training Weiyang Liu Rongmei Lin Zhen Liu James M. Rehg Liam Paull Li Xiong Le Song Adrian Weller 11 40 0 09 Apr 2020
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition Y. Huang Yuhan Wang Ying Tai Xiaoming Liu Pengcheng Shen Shaoxin Li Jilin Li Feiyue Huang CVBM 16 499 0 01 Apr 2020
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 216 789 0 26 Aug 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,677 0 09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015