Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,114 papers shown

Title
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 73 1 0 21 Jun 2024
Adaptive Adversarial Cross-Entropy Loss for Sharpness-Aware Minimization Tanapat Ratchatorn Masayuki Tanaka AAML 28 0 0 20 Jun 2024
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization Zhaozhe Hu Jia-Li Yin Bin Chen Luojun Lin Bo-Hao Chen Ximeng Liu AAML 28 0 0 20 Jun 2024
Exploring Layerwise Adversarial Robustness Through the Lens of t-SNE Inês Valentim Nuno Antunes Nuno Lourenço AAML 41 1 0 20 Jun 2024
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling Nabeel Seedat Nicolas Huynh F. Imrie Mihaela van der Schaar 38 0 0 19 Jun 2024
Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation Bjorn Nieth Thomas Altstidl Leo Schwinn Björn Eskofier AAML 32 2 0 19 Jun 2024
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning Kai Gan Tong Wei Min-Ling Zhang 32 1 0 19 Jun 2024
DLP: towards active defense against backdoor attacks with decoupled learning process Zonghao Ying Bin Wu AAML 44 6 0 18 Jun 2024
Online Anchor-based Training for Image Classification Tasks Maria Tzelepi Vasileios Mezaris 16 0 0 18 Jun 2024
Federated Learning with a Single Shared Image Sunny Soni Aaqib Saeed Yuki M. Asano FedML DD 41 1 0 18 Jun 2024
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness Kejia Zhang Juanjuan Weng Junwei Wu Guoqing Yang Shaozi Li Zhiming Luo AAML 38 1 0 17 Jun 2024
NBA: defensive distillation for backdoor removal via neural behavior alignment Zonghao Ying Bin Wu AAML 16 6 0 16 Jun 2024
A Rate-Distortion View of Uncertainty Quantification Ifigeneia Apostolopoulou Benjamin Eysenbach Frank Nielsen Artur Dubrawski UQCV 38 2 0 16 Jun 2024
Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations? Mark Ibrahim David Klindt Randall Balestriero SSL 56 2 1 15 Jun 2024
Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration Gyusang Cho Chan-Hyun Youn 30 0 0 14 Jun 2024
Why Warmup the Learning Rate? Underlying Mechanisms and Improvements Dayal Singh Kalra M. Barkeshli 42 7 0 13 Jun 2024
Potion: Towards Poison Unlearning Stefan Schoepf Jack Foster Alexandra Brintrup AAML MU 47 6 0 13 Jun 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint Jiacong Hu Jingwen Ye Zunlei Feng Jiazhen Yang Shunyu Liu Xiaotian Yu Lingxiang Jia Mingli Song AAML 34 2 0 13 Jun 2024
Decoupling the Class Label and the Target Concept in Machine Unlearning Jianing Zhu Bo Han Jiangchao Yao Jianliang Xu Gang Niu Masashi Sugiyama CLL MU 24 4 0 12 Jun 2024
Adaptive Teaching with Shared Classifier for Knowledge Distillation Jaeyeon Jang Young-Ik Kim Jisu Lim Hyeonseong Lee 19 0 0 12 Jun 2024
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization Jiaxin Deng Junbiao Pang Baochang Zhang 64 1 0 12 Jun 2024
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection Wenxiao Wang Weiming Zhuang Lingjuan Lyu 39 0 0 11 Jun 2024
PAC-Bayes Analysis for Recalibration in Classification Masahiro Fujisawa Futoshi Futami 33 0 0 10 Jun 2024
Neural-g: A Deep Learning Framework for Mixing Density Estimation Shijie Wang Saptarshi Chakraborty Qian Qin Ray Bai BDL 28 0 0 10 Jun 2024
Causality-inspired Latent Feature Augmentation for Single Domain Generalization Jian Xu Chaojie Ji Yankai Cao Ye Li Ruxin Wang OOD 29 0 0 10 Jun 2024
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations Sravanti Addepalli Priyam Dey R. Venkatesh Babu 40 0 0 09 Jun 2024
A Recover-then-Discriminate Framework for Robust Anomaly Detection Peng-Fei Xing Dong Zhang Jinhui Tang Zechao li 34 1 0 07 Jun 2024
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection Yinting Wu Pai Peng Bo Cai Le Li . AAML 29 0 0 06 Jun 2024
ZeroPur: Succinct Training-Free Adversarial Purification Xiuli Bi Zonglin Yang Bo Liu Xiaodong Cun Chi-Man Pun Pietro Liò Bin Xiao 31 0 0 05 Jun 2024
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise Zhixun He Mukesh Singhal 23 1 0 05 Jun 2024
Mixup Augmentation with Multiple Interpolations Lifeng Shen Jincheng Yu Hansi Yang James T. Kwok 23 0 0 03 Jun 2024
Differentially Private Fine-Tuning of Diffusion Models Yu-Lin Tsai Yizhe Li Zekai Chen Po-yu Chen Chia-Mu Yu Xuebin Ren Francois Buet-Golfouse 42 3 0 03 Jun 2024
Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen Ba-Hien Tran Michael Kampffmeyer Maurizio Filippone 67 0 0 03 Jun 2024
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training Jiacheng Zhang Feng Liu Dawei Zhou Jingfeng Zhang Tongliang Liu AAML 38 2 0 02 Jun 2024
On the Use of Anchoring for Training Vision Models V. Narayanaswamy Kowshik Thopalli Rushil Anirudh Yamen Mubarka W. Sakla Jayaraman J. Thiagarajan 37 0 0 01 Jun 2024
Robust Knowledge Distillation Based on Feature Variance Against Backdoored Teacher Model Jinyin Chen Xiaoming Zhao Haibin Zheng Xiao Li Sheng Xiang Haifeng Guo AAML 25 3 0 01 Jun 2024
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization Songhua Liu Xin Jin Xingyi Yang Jingwen Ye Xinchao Wang OOD 43 1 0 01 Jun 2024
einspace: Searching for Neural Architectures from Fundamental Operations Linus Ericsson Miguel Espinosa Chenhongyi Yang Antreas Antoniou Amos Storkey Shay B. Cohen Steven G. McDonagh Elliot J. Crowley 38 1 0 31 May 2024
Improving Generalization and Convergence by Enhancing Implicit Regularization Mingze Wang Haotian He Jinbo Wang Zilin Wang Guanhua Huang Feiyu Xiong Zhiyu Li E. Weinan Lei Wu 37 6 0 31 May 2024
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation Jiachen Liang Ruibing Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 19 4 0 31 May 2024
Knockout: A simple way to handle missing inputs Minh Nguyen Batuhan K. Karaman Heejong Kim Alan Q. Wang Fengbei Liu M. Sabuncu OOD UQCV 19 2 0 30 May 2024
Enhancing Adversarial Robustness in SNNs with Sparse Gradients Yujia Liu Tong Bu Jianhao Ding Zecheng Hao Tiejun Huang Zhaofei Yu AAML 33 3 0 30 May 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior Shuyu Cheng Yibo Miao Yinpeng Dong Xiao Yang Xiao-Shan Gao Jun Zhu AAML 27 3 0 29 May 2024
Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping Ziqing Fan Jiangchao Yao Ruipeng Zhang Lingjuan Lyu Ya-Qin Zhang Yanfeng Wang FedML 32 2 0 29 May 2024
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts Renchunzi Xie Ambroise Odonnat Vasilii Feofanov Weijian Deng Jianfeng Zhang Bo An 46 2 0 29 May 2024
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection Yushu Li Yongyi Su Xulei Yang Kui Jia Xun Xu TTA 31 0 0 29 May 2024
A Causal Framework for Evaluating Deferring Systems Filippo Palomba Andrea Pugnana Jose M. Alvarez Salvatore Ruggieri CML 46 1 0 29 May 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 64 1 0 28 May 2024
Supervised Batch Normalization Bilal Faye M. Lebbah Hanane Azzag 18 1 0 27 May 2024
From Obstacle to Opportunity: Enhancing Semi-supervised Learning with Synthetic Data Zerun Wang Jiafeng Mao Liuyu Xiang Toshihiko Yamasaki 30 0 0 27 May 2024