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Improved Regularization of Convolutional Neural Networks with Cutout

15 August 2017

Papers citing "Improved Regularization of Convolutional Neural Networks with Cutout"

50 / 1,908 papers shown

Title
Exploring the Relationship between Samples and Masks for Robust Defect Localization Jiangke Lin Yaping Yan 93 0 0 19 Jun 2023
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning Hojoon Lee Hanseul Cho Hyunseung Kim Daehoon Gwak Joonkee Kim Jaegul Choo Se-Young Yun Chulhee Yun OffRL 157 30 0 19 Jun 2023
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization Juliette Marrie Michael Arbel Diane Larlus Julien Mairal OffRL 89 4 0 16 Jun 2023
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation Quoc-Huy Trinh Nhat-Tan Bui Trong-Hieu Nguyen-Mau Minh Le Nguyen H. Phan M. Tran Hai-Dang Nguyen 45 4 0 14 Jun 2023
Flexible Channel Dimensions for Differentiable Architecture Search A. C. Yüzügüler Nikolaos Dimitriadis P. Frossard 21 0 0 13 Jun 2023
Dynamically Masked Discriminator for Generative Adversarial Networks Wentian Zhang Haozhe Liu Bing Li Jinheng Xie Yawen Huang Yuexiang Li Yefeng Zheng Guohao Li TTA 85 2 0 13 Jun 2023
Revisiting and Advancing Adversarial Training Through A Simple Baseline Hong Liu AAML 59 0 0 13 Jun 2023
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation Lin Li Jianing Qiu Michael W. Spratling AAML 56 4 0 12 Jun 2023
Understanding the Benefits of Image Augmentations Matthew Iceland Christopher Kanan 76 1 0 09 Jun 2023
Weight Freezing: A Regularization Approach for Fully Connected Layers with an Application in EEG Classification Zhengqing Miao Mei-rong Zhao 51 4 0 09 Jun 2023
Focus for Free in Density-Based Counting Zenglin Shi Pascal Mettes Cees G. M. Snoek 3DPC 67 9 0 08 Jun 2023
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization Shuo Ye Shujian Yu W. Hou Yu Wang Xinge You OOD 75 11 0 08 Jun 2023
Deep Learning with Partially Labeled Data for Radio Map Reconstruction Alkesandra Malkova Massih-Reza Amini B. Denis C. Villien 87 0 0 07 Jun 2023
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation An-Chi Wang Mobarakol Islam Mengya Xu Hongliang Ren OOD 80 15 0 06 Jun 2023
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation Haochen Wang Yuchao Wang Yujun Shen Junsong Fan Yuxi Wang Zhaoxiang Zhang UQCV 80 10 0 04 Jun 2023
Probabilistic Concept Bottleneck Models Eunji Kim Dahuin Jung Sangha Park Siwon Kim Sung-Hoon Yoon 143 72 0 02 Jun 2023
Multi-Objective Population Based Training A. Dushatskiy A. Chebykin Tanja Alderliesten Peter A. N. Bosman 84 4 0 02 Jun 2023
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression Runtian Zhai Bing Liu Andrej Risteski Zico Kolter Pradeep Ravikumar SSL 117 10 0 01 Jun 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy Elan Rosenfeld Saurabh Garg UQCV 68 7 0 01 Jun 2023
Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training Rie Johnson Tong Zhang 43 6 0 31 May 2023
A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition Shentong Mo Pedro Morgado 74 22 0 30 May 2023
Contextual Vision Transformers for Robust Representation Learning Yu Bao Theofanis Karaletsos ViT 47 14 0 30 May 2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation Zeju Li Konstantinos Kamnitsas Qi Dou C. Qin Ben Glocker 66 6 0 30 May 2023
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States Kang Liu Ke Chen Lihua Guo Yaowei Wang Kui Jia 82 0 0 30 May 2023
Simulation-Aided Deep Learning for Laser Ultrasonic Visualization Testing Miya Nakajima Takahiro Saitoh Tsuyoshi Kato 29 2 0 30 May 2023
On Counterfactual Data Augmentation Under Confounding Abbavaram Gowtham Reddy Saketh Bachu Saloni Dash Charchit Sharma Amit Sharma V. Balasubramanian CML BDL 90 1 0 29 May 2023
Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning Xuankai Chang Brian Yan Yuya Fujita Takashi Maekaku Shinji Watanabe 79 40 0 29 May 2023
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models Sohyun An Hayeon Lee Jaehyeong Jo Seanie Lee Sung Ju Hwang DiffM 83 11 0 26 May 2023
Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term Yun Yue Jiadi Jiang Zhiling Ye Ni Gao Yongchao Liu Kecheng Zhang MLAU ODL 113 14 0 25 May 2023
Training on Thin Air: Improve Image Classification with Generated Data Yongchao Zhou Hshmat Sahak Jimmy Ba DiffM 85 47 0 24 May 2023
Non-adversarial Robustness of Deep Learning Methods for Computer Vision Gorana Gojić V. Vincan O. Kundacina D. Mišković Dinu Dragan OOD 52 4 0 24 May 2023
AdvFunMatch: When Consistent Teaching Meets Adversarial Robustness Ziuhi Wu Haichang Gao Bingqian Zhou Ping Wang AAML 63 0 0 24 May 2023
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-World Video Super-Resolution Yexing Song Meilin Wang Zhi Yang Xiaoyu Xian Yukai Shi SupR 72 3 0 24 May 2023
Sharpness-Aware Data Poisoning Attack Pengfei He Han Xu Jie Ren Yingqian Cui Hui Liu Charu C. Aggarwal Jiliang Tang AAML 153 8 0 24 May 2023
NeuralMatrix: Compute the Entire Neural Networks with Linear Matrix Operations for Efficient Inference Ruiqi Sun Siwei Ye Jie Zhao Xin He Yiran Li An Zou 88 0 0 23 May 2023
Temporal Contrastive Learning for Spiking Neural Networks Haonan Qiu Zeyin Song Yanqing Chen Munan Ning Wei Fang Tao Sun Zhengyu Ma Liuliang Yuan Yonghong Tian 41 1 0 23 May 2023
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation Emirhan Kurtuluş Zichao Li Yann N. Dauphin E. D. Cubuk 68 3 0 22 May 2023
Target-Aware Generative Augmentations for Single-Shot Adaptation Kowshik Thopalli Rakshith Subramanyam Pavan Turaga Jayaraman J. Thiagarajan TTA 92 7 0 22 May 2023
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study Muzhou Yu Linfeng Zhang Kaisheng Ma 68 2 0 22 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 120 62 0 18 May 2023
Semi-supervised Quality Evaluation of Colonoscopy Procedures I. Kligvasser G. Leifman Roman Goldenberg Ehud Rivlin Michael Elad 31 1 0 17 May 2023
Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples Wanzhu Jiang Yunfeng Diao He Wang Jianxin Sun Ming Wang Richang Hong 104 18 0 16 May 2023
Lightweight Self-Knowledge Distillation with Multi-source Information Fusion Xucong Wang Pengchao Han Lei Guo 49 1 0 16 May 2023
$Releasing Inequality Phenomenon in $\ell_{\infty}$-norm Adversarial Training via Input Gradient Distillation$ Releasing Inequality Phenomenon in $\ell_{\infty}$ -norm Adversarial Training via Input Gradient Distillation Junxi Chen Junhao Dong Xiaohua Xie Jianhuang Lai AAML 63 0 0 16 May 2023
Learning Better Contrastive View from Radiologist's Gaze Sheng Wang Zixu Zhuang Xi Ouyang Lichi Zhang Zheren Li Chong Ma Tianming Liu Dinggang Shen Qian Wang MedIm 66 2 0 15 May 2023
Meta-Polyp: a baseline for efficient Polyp segmentation Quoc-Huy Trinh MedIm 34 18 0 13 May 2023
EAML: Ensemble Self-Attention-based Mutual Learning Network for Document Image Classification Souhail Bakkali Zuheng Ming Mickael Coustaty Marçal Rusiñol 63 6 0 11 May 2023
Unicode Normalization and Grapheme Parsing of Indic Languages Nazmuddoha Ansary Quazi Adibur Rahman Adib Tahsin Reasat Asif Sushmit Ahmed Imtiaz Humayun Sazia Mehnaz Kanij Fatema Mohammad Mamun Or Rashid Farig Sadeque 22 2 0 11 May 2023
RSC-VAE: Recoding Semantic Consistency Based VAE for One-Class Novelty Detection Ge Zhang Wangzhe Du DRL 23 0 0 07 May 2023
SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain Adaptation Xinwen Zhang Chaoyi Zhang Dongnan Liu Qianbi Yu Weidong (Tom) Cai MedIm 79 0 0 07 May 2023