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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations? Mark Ibrahim David Klindt Randall Balestriero SSL 130 5 1 15 Jun 2024
Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration Gyusang Cho Chan-Hyun Youn 88 0 0 14 Jun 2024
Why Warmup the Learning Rate? Underlying Mechanisms and Improvements Dayal Singh Kalra M. Barkeshli 125 11 0 13 Jun 2024
Potion: Towards Poison Unlearning Stefan Schoepf Jack Foster Alexandra Brintrup AAML MU 113 10 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 88 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 62 4 0 12 Jun 2024
Adaptive Teaching with Shared Classifier for Knowledge Distillation Jaeyeon Jang Young-Ik Kim Jisu Lim Hyeonseong Lee 50 0 0 12 Jun 2024
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization Jiaxin Deng Junbiao Pang Baochang Zhang 131 1 0 12 Jun 2024
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection Wenxiao Wang Weiming Zhuang Lingjuan Lyu 101 0 0 11 Jun 2024
PAC-Bayes Analysis for Recalibration in Classification Masahiro Fujisawa Futoshi Futami 75 1 0 10 Jun 2024
Neural-g: A Deep Learning Framework for Mixing Density Estimation Shijie Wang Saptarshi Chakraborty Qian Qin Ray Bai BDL 119 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 91 0 0 10 Jun 2024
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations Sravanti Addepalli Priyam Dey R. Venkatesh Babu 96 0 0 09 Jun 2024
A Recover-then-Discriminate Framework for Robust Anomaly Detection Peng-Fei Xing Dong Zhang Jinhui Tang Zechao li 94 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 68 0 0 06 Jun 2024
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise Zhixun He Mukesh Singhal 79 1 0 05 Jun 2024
ZeroPur: Succinct Training-Free Adversarial Purification Xiuli Bi Zonglin Yang Bo Liu Xiaodong Cun Chi-Man Pun 133 0 0 05 Jun 2024
Mixup Augmentation with Multiple Interpolations Lifeng Shen Jincheng Yu Hansi Yang James T. Kwok 75 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 107 3 0 03 Jun 2024
Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen Ba-Hien Tran Michael Kampffmeyer Maurizio Filippone 171 1 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 63 4 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 95 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 50 5 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 167 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 Jingyu Sun Elliot J. Crowley 81 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 96 8 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 83 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 73 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 99 5 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 99 5 0 29 May 2024
Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping Ziqing Fan Jiangchao Yao Ruipeng Zhang Lingjuan Lyu Ya Zhang Yanfeng Wang FedML 82 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 80 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 84 0 0 29 May 2024
A Causal Framework for Evaluating Deferring Systems Filippo Palomba Andrea Pugnana Jose M. Alvarez Salvatore Ruggieri CML 142 4 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 117 4 0 28 May 2024
Supervised Batch Normalization Bilal Faye M. Lebbah Hanane Azzag 32 1 0 27 May 2024
From Obstacle to Opportunity: Enhancing Semi-supervised Learning with Synthetic Data Zerun Wang Jiafeng Mao Liuyu Xiang Toshihiko Yamasaki 84 0 0 27 May 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Nils Philipp Walter Linara Adilova Jilles Vreeken Michael Kamp AAML 108 2 0 27 May 2024
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency Runqi Lin Chaojian Yu Bo Han Hang Su Tongliang Liu AAML 128 4 0 25 May 2024
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch Qikai Wang Rundong He Yongshun Gong Chunxiao Ren Hao Sun Xiaoshui Huang Yilong Yin 52 0 0 25 May 2024
Robust width: A lightweight and certifiable adversarial defense Jonathan Peck Bart Goossens AAML 80 2 0 24 May 2024
ETTrack: Enhanced Temporal Motion Predictor for Multi-Object Tracking Xudong Han Nobuyuki Oishi Yueying Tian Elif Ucurum R. Young C. Chatwin Philip Birch 82 5 0 24 May 2024
The Road Less Scheduled Aaron Defazio Xingyu Yang Yang Harsh Mehta Konstantin Mishchenko Ahmed Khaled Ashok Cutkosky 120 60 0 24 May 2024
Controllable Continual Test-Time Adaptation Ziqi Shi Fan Lyu Ye Liu Fanhua Shang Fuyuan Hu Wei Feng Zhang Zhang Liang Wang TTA 108 2 0 23 May 2024
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning Meenatchi Sundaram Muthu Selva Annamalai Emiliano De Cristofaro 98 14 0 23 May 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Simon Damm M. Laszkiewicz Johannes Lederer Asja Fischer 128 8 0 23 May 2024
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks Mohit Prabhushankar Ghassan AlRegib UQCV 86 0 0 22 May 2024
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers Shayan Mohajer Hamidi Linfeng Ye AAML 80 1 0 22 May 2024
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification Tom Burgert Tim Siebert Kai Norman Clasen Begüm Demir Begüm Demir 125 1 0 22 May 2024
Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch Wen-Shu Fan Xin-Chun Li Bowen Tao 79 2 0 21 May 2024