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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
Calibrating Deep Neural Network using Euclidean Distance Wenhao Liang Chang George Dong Liangwei Nathan Zheng Zhengyang Li Wei Emma Zhang Weitong Chen UQCV 124 2 0 23 Oct 2024
Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation Muquan Li Dongyang Zhang Tao He Xiurui Xie Yuan-Fang Li Ke Qin 124 1 0 23 Oct 2024
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost Cheng-Han Yeh Kuanchun Yu Chun-Shien Lu DiffM AAML 160 0 0 22 Oct 2024
Conflict-Aware Adversarial Training Zhiyu Xue Haohan Wang Yao Qin Ramtin Pedarsani AAML 70 0 0 21 Oct 2024
Towards Combating Frequency Simplicity-biased Learning for Domain Generalization Xilin He Jingyu Hu Qinliang Lin Cheng Luo Weicheng Xie Siyang Song M. H. Khan Linlin Shen 86 2 0 21 Oct 2024
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators Han Zhou Jordy Van Landeghem Teodora Popordanoska Matthew B. Blaschko 149 3 0 20 Oct 2024
Debiasing Mini-Batch Quadratics for Applications in Deep Learning Lukas Tatzel Bálint Mucsányi Osane Hackel Philipp Hennig 115 0 0 18 Oct 2024
Preview-based Category Contrastive Learning for Knowledge Distillation Muhe Ding Jianlong Wu Xue Dong Xiaojie Li Pengda Qin Tian Gan Liqiang Nie VLM 91 0 0 18 Oct 2024
Reproducibility study of "LICO: Explainable Models with Language-Image Consistency" Luan Fletcher Robert van der Klis Martin Sedláček Stefan Vasilev Christos Athanasiadis 82 1 0 17 Oct 2024
Multi-style conversion for semantic segmentation of lesions in fundus images by adversarial attacks Clément Playout Renaud Duval Marie Carole Boucher Farida Cheriet MedIm 68 1 0 17 Oct 2024
CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence Zao Zhang Huaming Chen Pei Ning Nan Yang Dong Yuan 63 1 0 17 Oct 2024
RAFA-Net: Region Attention Network For Food Items And Agricultural Stress Recognition Asish Bera O. Krejcar D. Bhattacharjee 113 6 0 16 Oct 2024
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors Linwei Tao Haolan Guo Minjing Dong Chang Xu UQCV AAML 60 2 0 16 Oct 2024
Feature Clipping for Uncertainty Calibration Linwei Tao Minjing Dong Chang Xu UQCV 67 2 0 16 Oct 2024
New Paradigm of Adversarial Training: Releasing Accuracy-Robustness Trade-Off via Dummy Class Yijiao Wang Li Liu Zi Liang Yi R. Fung Qingqing Ye Haibo Hu AAML 123 1 0 16 Oct 2024
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge Manuel Barusco Francesco Borsatti Davide Dalle Pezze Francesco Paissan Elisabetta Farella Gian Antonio Susto 79 3 0 15 Oct 2024
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection Xinting Liao Weiming Liu Pengyang Zhou Fengyuan Yu Jiahe Xu Jun Wang Wenjie Wang Chaochao Chen Xiaolin Zheng FedML OODD 110 5 0 15 Oct 2024
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning Jingyang Li Jiachun Pan Vincent Y. F. Tan Kim-Chuan Toh Pan Zhou AAML MLT 169 0 0 15 Oct 2024
Combinatorial Multi-armed Bandits: Arm Selection via Group Testing Arpan Mukherjee Shashanka Ubaru K. Murugesan Karthikeyan Shanmugam A. Tajer 68 2 0 14 Oct 2024
Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training Zhanpeng Zhou Mingze Wang Yuchen Mao Bingrui Li Junchi Yan AAML 136 1 0 14 Oct 2024
Reducing Data Bottlenecks in Distributed, Heterogeneous Neural Networks Ruhai Lin Rui-Jie Zhu Jason K. Eshraghian 74 1 0 12 Oct 2024
MITA: Bridging the Gap between Model and Data for Test-time Adaptation Yige Yuan Bingbing Xu Teng Xiao Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA 118 1 0 12 Oct 2024
On the Adversarial Transferability of Generalized "Skip Connections" Yisen Wang Yichuan Mo Dongxian Wu Mingjie Li Xingjun Ma Zhouchen Lin AAML 72 2 0 11 Oct 2024
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data Binghui Li Yuanzhi Li OOD 94 4 0 11 Oct 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection Haoyue Bai Jifan Zhang Robert Nowak 144 7 0 10 Oct 2024
Boosting Deep Ensembles with Learning Rate Tuning Hongpeng Jin Yanzhao Wu 71 0 0 10 Oct 2024
Dense Optimizer : An Information Entropy-Guided Structural Search Method for Dense-like Neural Network Design Liu Tianyuan Hou Libin Wang Linyuan Song Xiyu Yan Bin 55 0 0 10 Oct 2024
Exploring the design space of deep-learning-based weather forecasting systems Shoaib Ahmed Siddiqui Jean Kossaifi Boris Bonev Christopher Choy Jan Kautz David M. Krueger Kamyar Azizzadenesheli AI4CE OOD 59 3 0 09 Oct 2024
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning Weihao Lin Shengji Tang Chong Yu Peng Ye Tao Chen 48 0 0 09 Oct 2024
Efficient and Robust Knowledge Distillation from A Stronger Teacher Based on Correlation Matching Wenqi Niu Yingchao Wang Guohui Cai Hanpo Hou 54 1 0 09 Oct 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition Zi-Hao Zhou Siyuan Fang Zi-Jing Zhou Tong Wei Yuanyu Wan Min-Ling Zhang 79 4 0 08 Oct 2024
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD Thomas Steinke Milad Nasr Arun Ganesh Borja Balle Christopher A. Choquette-Choo Matthew Jagielski Jamie Hayes Abhradeep Thakurta Adam Smith Andreas Terzis 145 10 0 08 Oct 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su Yushu Li Nanqing Liu Kui Jia Xulei Yang Chuan-Sheng Foo Xun Xu TTA AAML 161 1 0 07 Oct 2024
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning Ray Congrui Yu Sherry Wu Jiang Gui 116 1 0 07 Oct 2024
Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision Transformers Zeyu Michael Li AAML 114 0 0 01 Oct 2024
Collaborative Knowledge Distillation via a Learning-by-Education Node Community Anestis Kaimakamidis Ioannis Mademlis Ioannis Pitas 71 1 0 30 Sep 2024
Student-Oriented Teacher Knowledge Refinement for Knowledge Distillation Yaxin Peng Yaomin Huang Haokun Zhu Jinsong Fan Guixu Zhang 81 1 0 27 Sep 2024
Towards the Mitigation of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective Yu Wang Yuxuan Yin Peng Li 79 0 0 26 Sep 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View Han Wang Yixuan Li CML 91 2 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 102 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 79 2 0 26 Sep 2024
$Enhancing Logits Distillation with Plug\&Play Kendall's $τ$ Ranking Loss$ Enhancing Logits Distillation with Plug\&Play Kendall's $τ$ Ranking Loss Yuchen Guan Runxi Cheng Kang Liu Chun Yuan 88 0 0 26 Sep 2024
Margin-bounded Confidence Scores for Out-of-Distribution Detection L. Tamang Mohamed Reda Bouadjenek Richard Dazeley Sunil Aryal OODD 68 0 0 22 Sep 2024
Bilateral Sharpness-Aware Minimization for Flatter Minima Jiaxin Deng Junbiao Pang Baochang Zhang Qingming Huang AAML 452 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 97 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 66 1 0 18 Sep 2024
Deep-Wide Learning Assistance for Insect Pest Classification Toan Nguyen Huy Nguyen Huy Ung Hieu T. Ung Binh T. Nguyen 67 1 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 68 2 0 12 Sep 2024
A Unified Contrastive Loss for Self-Training Aurélien Gauffre Julien Horvat Massih-Reza Amini SSL 111 0 0 11 Sep 2024
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification Suorong Yang Furao Shen Jian Zhao AAML 61 4 0 10 Sep 2024