Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,114 papers shown

Title
Towards the Mitigation of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective Yu Wang Yuxuan Yin Peng Li 23 0 0 26 Sep 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View Han Wang Yixuan Li CML 29 0 0 26 Sep 2024
Kendall's $τ$ Coefficient for Logits Distillation Yuchen Guan Runxi Cheng Kang Liu Chun Yuan 26 0 0 26 Sep 2024
Improving Fast Adversarial Training via Self-Knowledge Guidance Chengze Jiang Junkai Wang Minjing Dong Jie Gui Xinli Shi Yuan Cao Yuan Yan Tang James Tin-Yau Kwok 29 1 0 26 Sep 2024
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning Zerun Wang Liuyu Xiang Lang Huang Jiafeng Mao Ling Xiao Toshihiko Yamasaki 27 1 0 26 Sep 2024
Margin-bounded Confidence Scores for Out-of-Distribution Detection L. Tamang Mohamed Reda Bouadjenek Richard Dazeley Sunil Aryal OODD 34 0 0 22 Sep 2024
Bilateral Sharpness-Aware Minimization for Flatter Minima Jiaxin Deng Junbiao Pang Baochang Zhang Qingming Huang AAML 104 0 0 20 Sep 2024
Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation Tsung-Han Wu Hung-Ting Su Shang-Tse Chen Winston H. Hsu 26 1 0 19 Sep 2024
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection Qian Shao Jiangrui Kang Qiyuan Chen Zepeng Li Hongxia Xu Yiwen Cao Jiajuan Liang Jian Wu 23 0 0 18 Sep 2024
Deep-Wide Learning Assistance for Insect Pest Classification Toan Nguyen Huy Nguyen Huy Ung Hieu T. Ung Binh T. Nguyen 19 0 0 16 Sep 2024
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification Geigh Zollicoffer Minh Vu Ben Nebgen Juan Castorena Boian S. Alexandrov Manish Bhattarai 27 2 0 12 Sep 2024
A Unified Contrastive Loss for Self-Training Aurélien Gauffre Julien Horvat Massih-Reza Amini SSL 31 0 0 11 Sep 2024
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification Suorong Yang F. Shen Jian Zhao AAML 29 1 0 10 Sep 2024
FreeAugment: Data Augmentation Search Across All Degrees of Freedom Tom Bekor Niv Nayman Lihi Zelnik-Manor ViT 44 0 0 07 Sep 2024
LoCa: Logit Calibration for Knowledge Distillation Runming Yang Taiqiang Wu Yujiu Yang 38 0 0 07 Sep 2024
Adaptative Context Normalization: A Boost for Deep Learning in Image Processing Bilal Faye Hanane Azzag M. Lebbah D. Bouchaffra OOD 31 0 0 07 Sep 2024
Unsupervised Adaptive Normalization Bilal Faye Hanane Azzag M. Lebbah Fangchen Fang 26 0 0 07 Sep 2024
Equivariant Machine Learning Decoder for 3D Toric Codes Oliver Weissl Evgenii Egorov 22 0 0 06 Sep 2024
A practical approach to evaluating the adversarial distance for machine learning classifiers Georg Siedel Ekagra Gupta Andrey Morozov AAML 30 0 0 05 Sep 2024
Low-Resolution Object Recognition with Cross-Resolution Relational Contrastive Distillation Kangkai Zhang Shiming Ge Ruixin Shi Dan Zeng 49 13 0 04 Sep 2024
Adaptive Explicit Knowledge Transfer for Knowledge Distillation H. Park Jong-seok Lee 27 0 0 03 Sep 2024
VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization Yixuan Zhou Xing Xu Zhe Sun Jingkuan Song A. Cichocki Heng Tao Shen 53 1 0 02 Sep 2024
Fisher Information guided Purification against Backdoor Attacks Nazmul Karim Abdullah Al Arafat Adnan Siraj Rakin Zhishan Guo Nazanin Rahnavard AAML 45 1 0 01 Sep 2024
Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology Kuan-Lin Chen Bhaskar D. Rao 17 1 0 29 Aug 2024
Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail Bianca Lamm Janis Keuper 46 2 0 28 Aug 2024
TART: Boosting Clean Accuracy Through Tangent Direction Guided Adversarial Training Bongsoo Yi Rongjie Lai Yao Li AAML 33 0 0 27 Aug 2024
TC-PDM: Temporally Consistent Patch Diffusion Models for Infrared-to-Visible Video Translation Anh-Dzung Doan Vu Minh Hieu Phan Surabhi Gupta Markus Wagner Tat-Jun Chin Ian Reid VGen DiffM 41 0 0 26 Aug 2024
Condensed Sample-Guided Model Inversion for Knowledge Distillation Kuluhan Binici Shivam Aggarwal Cihan Acar N. Pham K. Leman Gim Hee Lee Tulika Mitra 43 1 0 25 Aug 2024
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks Zhenyu Liu Haoran Duan Huizhi Liang Yang Long V. Snás̃el G. Nicosia R. Ranjan Varun Ojha AAML 35 0 0 23 Aug 2024
Weight Scope Alignment: A Frustratingly Easy Method for Model Merging Yichu Xu Xin-Chun Li Le Gan De-Chuan Zhan MoMe 40 0 0 22 Aug 2024
LAKD-Activation Mapping Distillation Based on Local Learning Yaoze Zhang Yuming Zhang Yu Zhao Yue Zhang Feiyu Zhu 29 0 0 21 Aug 2024
Design Principle Transfer in Neural Architecture Search via Large Language Models Xun Zhou Liang Feng Xingyu Wu Zhichao Lu Kay Chen Tan 32 3 0 21 Aug 2024
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency Bhavna Gopal Huanrui Yang Jingyang Zhang Mark Horton Yiran Chen AAML 27 0 0 19 Aug 2024
AnomalyFactory: Regard Anomaly Generation as Unsupervised Anomaly Localization Ying Zhao 45 1 0 18 Aug 2024
Source-Free Test-Time Adaptation For Online Surface-Defect Detection Yiran Song Qianyu Zhou Lizhuang Ma TTA 40 1 0 18 Aug 2024
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness Hefei Mei Minjing Dong Chang Xu AAML 48 0 0 16 Aug 2024
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius Xuehao Wang Weisen Jiang Shuai Fu Yu Zhang AAML 42 0 0 15 Aug 2024
Knowledge Distillation with Refined Logits Wujie Sun Defang Chen Siwei Lyu Genlang Chen Chun-Yen Chen Can Wang 24 1 0 14 Aug 2024
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment Kejia Zhang Juanjuan Weng Zhiming Luo Shaozi Li AAML 29 0 0 12 Aug 2024
Range Membership Inference Attacks Jiashu Tao Reza Shokri 40 1 0 09 Aug 2024
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learning Zhiyu Wu Jinshi Cui 25 0 0 08 Aug 2024
Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection Xinyue Liu Jianyuan Wang Biao Leng Shuo Zhang 24 6 0 07 Aug 2024
Making Robust Generalizers Less Rigid with Soft Ascent-Descent Matthew J. Holland Toma Hamada OOD 28 0 0 07 Aug 2024
SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection Blaž Rolih Matic Fučka Danijel Skočaj 35 1 0 06 Aug 2024
Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution Hojung Lee Jong-Seok Lee 3DV 35 1 0 05 Aug 2024
Network Fission Ensembles for Low-Cost Self-Ensembles Hojung Lee Jong-Seok Lee UQCV 46 0 0 05 Aug 2024
Label Augmentation for Neural Networks Robustness Fatemeh Amerehi Patrick Healy AAML 37 1 0 04 Aug 2024
Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples Mingu Kwak Hyungu Kahng Seoung Bum Kim 27 0 0 03 Aug 2024
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? Richard Ren Steven Basart Adam Khoja Alice Gatti Long Phan ... Alexander Pan Gabriel Mukobi Ryan H. Kim Stephen Fitz Dan Hendrycks ELM 26 19 0 31 Jul 2024
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML 44 4 0 30 Jul 2024