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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
Enhancing Adversarial Robustness through Multi-Objective Representation Learning Sedjro Salomon Hotegni Sebastian Peitz AAML 92 2 0 01 Jul 2025
LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models Fanfei Li Thomas Klein Wieland Brendel Robert Geirhos Roland S. Zimmermann OODD 29 0 0 20 Jun 2025
Noise Fusion-based Distillation Learning for Anomaly Detection in Complex Industrial Environments Jiawen Yu Jieji Ren Yang Chang Qiaojun Yu Xuan Tong Boyang Wang Yan Song You Li Xinji Mai Wenqiang Zhang 26 0 0 19 Jun 2025
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Terrance Liu Matteo Boglioni Yiwei Fu Shengyuan Hu Pratiksha Thaker Zhiwei Steven Wu 15 0 0 18 Jun 2025
Pixel-level Certified Explanations via Randomized Smoothing Alaa Anani Tobias Lorenz Mario Fritz Bernt Schiele FAtt AAML 51 0 0 18 Jun 2025
DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Bin Guo John H.L. Hansen 75 0 0 11 Jun 2025
HomographyAD: Deep Anomaly Detection Using Self Homography Learning Jongyub Seok Chanjin Kang 20 0 0 10 Jun 2025
Hyperbolic Dual Feature Augmentation for Open-Environment Peilin Yu Yuwei Wu Zhi Gao Xiaomeng Fan Shuo Yang Yunde Jia 46 0 0 10 Jun 2025
Effective Data Pruning through Score Extrapolation Sebastian Schmidt Prasanga Dhungel Christoffer Löffler Bjorn Nieth Stephan Günnemann Leo Schwinn SyDa 33 0 0 10 Jun 2025
Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label Distillation Shiji Zhao Chi Chen Ranjie Duan Xizhe Wang Xingxing Wei 23 0 0 10 Jun 2025
Explore the vulnerability of black-box models via diffusion models Jiacheng Shi Yanfu Zhang Huajie Shao Ashley Gao DiffM 15 0 0 09 Jun 2025
A Layered Self-Supervised Knowledge Distillation Framework for Efficient Multimodal Learning on the Edge Tarique Dahri Zulfiqar Ali Memon Zhenyu Yu Mohd Yamani Idna Idris Sheheryar Khan Sadiq Ahmad Maged Shoman Saddam Aziz Rizwan Qureshi 20 0 0 08 Jun 2025
Tuning the Right Foundation Models is What you Need for Partial Label Learning Kuang He Wei Tang Tong Wei Min Zhang VLM 105 0 0 05 Jun 2025
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning Shuai Zhao Heyan Huang Xinge Li Xiaokang Chen Rui Wang 35 0 0 31 May 2025
Diversify and Conquer: Open-set Disagreement for Robust Semi-supervised Learning with Outliers Heejo Kong Sung-Jin Kim Gunho Jung Seong-Whan Lee 39 0 0 30 May 2025
Progressive Class-level Distillation JiaYan Li Jun Li Zhourui Zhang Jianhua Xu 34 0 0 30 May 2025
Practical Bayes-Optimal Membership Inference Attacks Marcus Lassila Johan Ostman K. Ngo Alexandre Graell i Amat 40 0 0 30 May 2025
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization C. Tan Yubo Zhou Haishan Ye Guang Dai Junmin Liu Zengjie Song Jiangshe Zhang Zixiang Zhao Yunda Hao Yong Xu AAML 40 0 0 29 May 2025
Revisiting Reweighted Risk for Calibration: AURC, Focal Loss, and Inverse Focal Loss Han Zhou Sebastian G.Gruber Teodora Popordanoska Matthew B. Blaschko 71 0 0 29 May 2025
Improving Out-of-Distribution Detection with Markov Logic Networks Konstantin Kirchheim F. Ortmeier OODD 29 0 0 28 May 2025
Is Hyperbolic Space All You Need for Medical Anomaly Detection? Alvaro Gonzalez-Jimenez Simone Lionetti Ludovic Amruthalingam Philippe Gottfrois Fabian Gröger Marc Pouly Alexander A. Navarini 41 0 0 27 May 2025
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score Xuanning Zhou Hao Zeng Xiaobo Xia Bingyi Jing Hongxin Wei 33 0 0 27 May 2025
Energy-based Preference Optimization for Test-time Adaptation Yewon Han Seoyun Yang Taesup Kim TTA 286 0 0 26 May 2025
SuperAD: A Training-free Anomaly Classification and Segmentation Method for CVPR 2025 VAND 3.0 Workshop Challenge Track 1: Adapt & Detect Huaiyuan Zhang H. Chen Yu Cheng Shunyi Wu Linghao Sun Linao Han Zeyu Shi Lei Qi 59 0 0 26 May 2025
Towards more transferable adversarial attack in black-box manner Chun Tong Lei Zhongliang Guo Hon Chung Lee Minh Quoc Duong Chun Pong Lau DiffM AAML 513 0 0 23 May 2025
NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling Bram Grooten Farid Hasanov Chenxiang Zhang Q. Xiao Boqian Wu ... Shiwei Liu L. Yin Elena Mocanu Mykola Pechenizkiy Decebal Constantin Mocanu 60 0 0 23 May 2025
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection Qiyu Chen Huiyuan Luo Haiming Yao Wei Luo Zhen Qu Chengkan Lv Zhengtao Zhang 225 1 0 23 May 2025
SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models Hossein Khalili Seongbin Park Venkat Bollapragada Nader Sehatbakhsh AAML 220 0 0 22 May 2025
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning Yaxin Hou Yuheng Jia 60 0 0 22 May 2025
NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification NovelSeek Team Bo Zhang Shiyang Feng Xiangchao Yan Jiakang Yuan ... Zhongying Tu Xiangyu Yue W. Ouyang Bowen Zhou Lei Bai LLMAG 110 2 0 22 May 2025
Mitigating Spurious Correlations with Causal Logit Perturbation Xiaoling Zhou Wei Ye Rui Xie Shikun Zhang CML 94 0 0 21 May 2025
Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images Jayroop Ramesh Valentin Bacher Mark C. Eid Hoda Kalabizadeh Christian Rupprecht A. Namburete P. Yeung Madeleine K.Wyburd Nicola K. Dinsdale 33 0 0 20 May 2025
ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains Guillaume Vray Devavrat Tomar Xufeng Gao Jean-Philippe Thiran Evan Shelhamer Behzad Bozorgtabar CLL TTA VLM 105 0 0 20 May 2025
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data Chuanxing Geng Qifei Li Xinrui Wang Dong Liang Songcan Chen Pong C. Yuen 83 0 0 19 May 2025
Learning by solving differential equations Benoit Dherin Michael Munn Hanna Mazzawi Michael Wunder Sourabh Medapati Javier Gonzalvo 60 0 0 19 May 2025
FlowPure: Continuous Normalizing Flows for Adversarial Purification Elias Collaert Abel Rodríguez Sander Joos Lieven Desmet Vera Rimmer AAML 67 0 0 19 May 2025
FiGKD: Fine-Grained Knowledge Distillation via High-Frequency Detail Transfer Seonghak Kim 121 0 0 17 May 2025
Adversarially Robust Spiking Neural Networks with Sparse Connectivity Mathias Schmolli Maximilian Baronig Robert Legenstein Ozan Özdenizci AAML 45 0 0 16 May 2025
Diffusion-SAFE: Shared Autonomy Framework with Diffusion for Safe Human-to-Robot Driving Handover Yunxin Fan Monroe Kennedy III 51 0 0 15 May 2025
Towards Adaptive Meta-Gradient Adversarial Examples for Visual Tracking Wei-Long Tian Peng Gao Xiao Liu Long Xu Hamido Fujita Hanan Aljuai Mao-Li Wang AAML 62 0 0 13 May 2025
ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks Wenhao Hu Paul Henderson José Cano 126 0 0 12 May 2025
Unsupervised Learning for Class Distribution Mismatch Pan Du Wangbo Zhao Xinai Lu Nian Liu Zechao Li ... Suyun Zhao H. Chen Cuiping Li Kai Wang Yang You 56 0 0 11 May 2025
ChainMarks: Securing DNN Watermark with Cryptographic Chain Brian Choi Shu Wang Isabelle Choi Kun Sun 88 0 0 08 May 2025
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Fuyao Chen Yuexi Du Tal Zeevi Nicha Dvornek John Onofrey 57 0 0 08 May 2025
Deep residual learning with product units Ziyuan Li U. Jaekel B. Dellen 95 0 0 07 May 2025
Spectral and Temporal Denoising for Differentially Private Optimization Hyeju Shin Kyudan Jung Seongwon Yun Juyoung Yun 112 0 0 07 May 2025
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $α$ - $β$ -Divergence Guanghui Wang Zhiyong Yang Ziyi Wang Shi Wang Qianqian Xu Qingming Huang 291 0 0 07 May 2025
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain Gaozheng Pei Ke Ma Yingfei Sun Qianqian Xu Qingming Huang DiffM 84 0 0 02 May 2025
On the Importance of Gaussianizing Representations Daniel Eftekhari Vardan Papyan 88 0 0 01 May 2025
Cert-SSB: Toward Certified Sample-Specific Backdoor Defense Ting Qiao Yansen Wang Xing Liu Sixing Wu Jianbing Li Yiming Li AAML SILM 150 0 0 30 Apr 2025