v1v2v3v4 (latest)

Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
FreeAugment: Data Augmentation Search Across All Degrees of Freedom Tom Bekor Niv Nayman Lihi Zelnik-Manor ViT 91 0 0 07 Sep 2024
LoCa: Logit Calibration for Knowledge Distillation Runming Yang Taiqiang Wu Yujiu Yang 81 1 0 07 Sep 2024
Adaptative Context Normalization: A Boost for Deep Learning in Image Processing Bilal Faye Hanane Azzag M. Lebbah D. Bouchaffra OOD 44 0 0 07 Sep 2024
Unsupervised Adaptive Normalization Bilal Faye Hanane Azzag M. Lebbah Fangchen Fang 36 0 0 07 Sep 2024
Equivariant Machine Learning Decoder for 3D Toric Codes Oliver Weissl Evgenii Egorov 81 1 0 06 Sep 2024
A practical approach to evaluating the adversarial distance for machine learning classifiers Georg Siedel Ekagra Gupta Andrey Morozov AAML 64 0 0 05 Sep 2024
Low-Resolution Object Recognition with Cross-Resolution Relational Contrastive Distillation Kangkai Zhang Shiming Ge Ruixin Shi Dan Zeng 85 15 0 04 Sep 2024
Adaptive Explicit Knowledge Transfer for Knowledge Distillation H. Park Jong-seok Lee 55 1 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 125 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 117 2 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 79 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 92 2 0 28 Aug 2024
TART: Boosting Clean Accuracy Through Tangent Direction Guided Adversarial Training Bongsoo Yi Rongjie Lai Yao Li AAML 52 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 79 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 86 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 64 1 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 88 0 0 22 Aug 2024
LAKD-Activation Mapping Distillation Based on Local Learning Yaoze Zhang Yuming Zhang Yu Zhao Yue Zhang Feiyu Zhu 68 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 76 5 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 90 0 0 19 Aug 2024
AnomalyFactory: Regard Anomaly Generation as Unsupervised Anomaly Localization Ying Zhao 78 1 0 18 Aug 2024
Source-Free Test-Time Adaptation For Online Surface-Defect Detection Yiran Song Qianyu Zhou Lizhuang Ma TTA 105 1 0 18 Aug 2024
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness Hefei Mei Minjing Dong Chang Xu AAML 178 0 0 16 Aug 2024
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius Xuehao Wang Weisen Jiang Shuai Fu Yu Zhang AAML 81 0 0 15 Aug 2024
Out-of-Distribution Learning with Human Feedback Haoyue Bai Xuefeng Du Katie Rainey Shibin Parameswaran Yixuan Li OODD 94 5 0 14 Aug 2024
Knowledge Distillation with Refined Logits Wujie Sun Defang Chen Siwei Lyu Genlang Chen Chun-Yen Chen Can Wang 105 3 0 14 Aug 2024
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment Kejia Zhang Juanjuan Weng Shaozi Li Shaozi Li AAML 84 0 0 12 Aug 2024
Range Membership Inference Attacks Jiashu Tao Reza Shokri 136 2 0 09 Aug 2024
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learning Zhiyu Wu Jinshi Cui 99 0 0 08 Aug 2024
Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection Xinyue Liu Jianyuan Wang Biao Leng Shuo Zhang 76 9 0 07 Aug 2024
Making Robust Generalizers Less Rigid with Loss Concentration Matthew J. Holland Toma Hamada OOD 92 0 0 07 Aug 2024
SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection Blaž Rolih Matic Fučka Danijel Skočaj 88 3 0 06 Aug 2024
Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution Hojung Lee Jong-Seok Lee 3DV 72 1 0 05 Aug 2024
Network Fission Ensembles for Low-Cost Self-Ensembles Hojung Lee Jong-Seok Lee UQCV 169 2 0 05 Aug 2024
Label Augmentation for Neural Networks Robustness Fatemeh Amerehi Patrick Healy AAML 90 1 0 04 Aug 2024
Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples Mingu Kwak Hyungu Kahng Seoung Bum Kim 90 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 77 25 0 31 Jul 2024
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML 137 5 0 30 Jul 2024
UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation Chaoqun Du Yulin Wang Jiayi Guo Yizeng Han Jie Zhou Gao Huang TTA 80 0 0 29 Jul 2024
Unifying Visual and Semantic Feature Spaces with Diffusion Models for Enhanced Cross-Modal Alignment Yuze Zheng Zixuan Li Xiangxian Li Jinxing Liu Yuqing Wang Xiangxu Meng Lei Meng DiffM 89 2 0 26 Jul 2024
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies Jia Shi Gautam Gare Jinjin Tian Siqi Chai Zhiqiu Lin Arun Vasudevan Di Feng Francesco Ferroni Shu Kong VLM OODD OOD 100 6 0 22 Jul 2024
Generalizing Teacher Networks for Effective Knowledge Distillation Across Student Architectures Kuluhan Binici Weiming Wu Tulika Mitra 61 1 0 22 Jul 2024
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling Junn Yong Loo Michelle Adeline Arghya Pal Vishnu Monn Baskaran Chee-Ming Ting Raphaël C.-W. Phan DiffM 78 0 0 21 Jul 2024
SeqMIA: Sequential-Metric Based Membership Inference Attack Hao Li Zheng Li Siyuan Wu Chengrui Hu Yutong Ye Min Zhang Dengguo Feng Yang Zhang 64 9 0 21 Jul 2024
Many Perception Tasks are Highly Redundant Functions of their Input Data Rahul Ramesh Anthony Bisulco Ronald W. DiTullio Linran Wei Vijay Balasubramanian Kostas Daniilidis Pratik Chaudhari 122 2 0 18 Jul 2024
Improving SAM Requires Rethinking its Optimization Formulation Wanyun Xie Fabian Latorre Kimon Antonakopoulos Thomas Pethick Volkan Cevher 95 2 0 17 Jul 2024
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective Zhaoxin Wang Handing Wang Cong Tian Yaochu Jin AAML 101 3 0 17 Jul 2024
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features Luc P.J. Strater Mohammadreza Salehi E. Gavves Cees G. M. Snoek Yuki M. Asano 83 9 0 17 Jul 2024
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset Mijoo Kim Junseok Kwon UQCV 66 1 0 17 Jul 2024
Adaptive Cascading Network for Continual Test-Time Adaptation Kien X. Nguyen Fengchun Qiao Xi Peng TTA CLL VLM 76 1 0 17 Jul 2024