Deep Pyramidal Residual Networks

10 October 2016

Papers citing "Deep Pyramidal Residual Networks"

50 / 110 papers shown

Title
Knowledge Distillation for Speech Denoising by Latent Representation Alignment with Cosine Distance Diep Luong Mikko Heikkinen K. Drossos Tuomas Virtanen 47 0 0 06 May 2025
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization Jean-Rémy Conti Stéphan Clémençon 17 0 0 27 Apr 2025
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy Haotian Yang Zhilin Wang Benson Chou Sophie Xu Hao Wang Jingxian Wang Qizhen Zhang FedML 93 0 0 26 Mar 2025
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization Jiaxin Deng Junbiao Pang Baochang Zhang 66 1 0 12 Jun 2024
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey Guoping Xu Xiaxia Wang Xinglong Wu Xuesong Leng Yongchao Xu 3DPC 39 8 0 02 May 2024
Effective Gradient Sample Size via Variation Estimation for Accelerating Sharpness aware Minimization Jiaxin Deng Junbiao Pang Baochang Zhang Tian Wang 48 1 0 24 Feb 2024
ContextMix: A context-aware data augmentation method for industrial visual inspection systems Hyungmin Kim Donghun Kim Pyunghwan Ahn Sungho Suh Hansang Cho Junmo Kim 29 2 0 18 Jan 2024
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI Marina Ruiz-Perez Sergio Morell-Ortega Marien Gadea Roberto Vivó Hernando Gregorio Rubio F. Aparici-Robles M. Iglesia-Vayá T. Tourdias Pierrick Coupé J. V. Manjón 22 0 0 15 Jan 2024
Gramian Attention Heads are Strong yet Efficient Vision Learners Jongbin Ryu Dongyoon Han J. Lim 32 1 0 25 Oct 2023
Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers Yineng Chen Z. Li Lefei Zhang Bo Du Hai Zhao 33 4 0 02 Jul 2023
Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future Perspectives T. Eerola Daniel Batrakhanov Nastaran Vatankhah Barazandeh K. Kraft Lumi Haraguchi L. Lensu S. Suikkanen Jukka Seppälä T. Tamminen Heikki Kälviäinen 25 11 0 19 May 2023
LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation K. Kuriyama 24 1 0 04 May 2023
An Adaptive Policy to Employ Sharpness-Aware Minimization Weisen Jiang Hansi Yang Yu Zhang James T. Kwok AAML 83 31 0 28 Apr 2023
LA3: Efficient Label-Aware AutoAugment Mingjun Zhao Sha Lu Zixuan Wang Xiaoli Wang Di Niu 22 1 0 20 Apr 2023
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation Qi Xu Yaxin Li Jiangrong Shen Jian K. Liu Huajin Tang Gang Pan 19 62 0 12 Apr 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 29 35 0 10 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 40 13 0 01 Feb 2023
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks Fenglei Fan Yingxin Li Hanchuan Peng T. Zeng Fei-Yue Wang 25 5 0 23 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 29 27 0 01 Jan 2023
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks Bin Wang Bing Xue Mengjie Zhang 18 0 0 07 Dec 2022
Local Magnification for Data and Feature Augmentation Kun He Chang-rui Liu Stephen Lin J. Hopcroft 24 2 0 15 Nov 2022
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition Jean-Rémy Conti Stéphan Clémençon UQCV 14 3 0 14 Nov 2022
K-SAM: Sharpness-Aware Minimization at the Speed of SGD Renkun Ni Ping Yeh-Chiang Jonas Geiping Micah Goldblum A. Wilson Tom Goldstein 26 8 0 23 Oct 2022
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization Jonas Geiping Micah Goldblum Gowthami Somepalli Ravid Shwartz-Ziv Tom Goldstein A. Wilson 26 35 0 12 Oct 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 29 11 0 19 Sep 2022
SubFace: Learning with Softmax Approximation for Face Recognition Hongwei Xu Suncheng Xiang Dahong Qian CVBM 25 1 0 24 Aug 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey Dalin Zhang Kaixuan Chen Yan Zhao B. Yang Li-Ping Yao Christian S. Jensen 46 3 0 22 Aug 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 30 34 0 29 Jun 2022
Generalizing Few-Shot NAS with Gradient Matching Shou-Yong Hu Ruochen Wang Lanqing Hong Zhenguo Li Cho-Jui Hsieh Jiashi Feng 25 23 0 29 Mar 2022
Channel Self-Supervision for Online Knowledge Distillation Shixi Fan Xuan Cheng Xiaomin Wang Chun Yang Pan Deng Minghui Liu Jiali Deng Meilin Liu 16 1 0 22 Mar 2022
RecursiveMix: Mixed Learning with History Lingfeng Yang Xiang Li Borui Zhao Renjie Song Jian Yang VLM 29 18 0 14 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 21 48 0 25 Feb 2022
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning Yang Zhao Hao Zhang Xiuyuan Hu 35 116 0 08 Feb 2022
When Do Flat Minima Optimizers Work? Jean Kaddour Linqing Liu Ricardo M. A. Silva Matt J. Kusner ODL 24 58 0 01 Feb 2022
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape Devansh Bisla Jing Wang A. Choromańska 25 34 0 20 Jan 2022
Neighborhood Region Smoothing Regularization for Finding Flat Minima In Deep Neural Networks Yang Zhao Hao Zhang 22 1 0 16 Jan 2022
OneDConv: Generalized Convolution For Transform-Invariant Representation Tong Zhang Haohan Weng Ke Yi Cheng Chen 24 0 0 15 Jan 2022
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks C. F. G. Santos João Paulo Papa 30 211 0 10 Jan 2022
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park J. Yang Jinwoo Shin Sung Ju Hwang Eunho Yang 30 23 0 16 Dec 2021
Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models Biying Fu Naser Damer AAML CVBM 26 10 0 09 Dec 2021
Adaptive Perturbation for Adversarial Attack Zheng Yuan Jie Zhang Zhaoyan Jiang Liangliang Li Shiguang Shan AAML 27 3 0 27 Nov 2021
LogAvgExp Provides a Principled and Performant Global Pooling Operator S. Lowe Thomas Trappenberg Sageev Oore FAtt 21 2 0 02 Nov 2021
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation Misgana Negassi Diane Wagner A. Reiterer 17 13 0 31 Oct 2021
A Deep Insight into Measuring Face Image Utility with General and Face-specific Image Quality Metrics Biying Fu Congmin Chen O. Henniger Naser Damer CVBM 18 20 0 21 Oct 2021
Observations on K-image Expansion of Image-Mixing Augmentation for Classification Joonhyun Jeong Sungmin Cha Jongwon Choi Sangdoo Yun Taesup Moon Y. Yoo VLM 21 6 0 08 Oct 2021
Rethinking Architecture Selection in Differentiable NAS Ruochen Wang Minhao Cheng Xiangning Chen Xiaocheng Tang Cho-Jui Hsieh 30 172 0 10 Aug 2021
Meta Gradient Adversarial Attack Zheng Yuan Jie Zhang Yunpei Jia Chuanqi Tan Tao Xue Shiguang Shan AAML 49 78 0 09 Aug 2021
Batch Normalization Preconditioning for Neural Network Training Susanna Lange Kyle E. Helfrich Qiang Ye 27 9 0 02 Aug 2021
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mańdziuk 23 61 0 21 Jul 2021
Feature Mining: A Novel Training Strategy for Convolutional Neural Network Tianshu Xie Xuan Cheng Xiaomin Wang Minghui Liu Jiali Deng Ming Liu 39 5 0 18 Jul 2021