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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams Ziqiang Wang Zhixiang Chi Yanan Wu Li Gu Zhi Liu Konstantinos Plataniotis Yang Wang OOD TTA 84 4 0 16 Jul 2024
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 91 3 0 16 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand OODD 92 2 0 16 Jul 2024
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening Shuyang Cheng Guangyu Shen Kaiyuan Zhang Guanhong Tao Shengwei An Hanxi Guo Shiqing Ma Xiangyu Zhang AAML 87 0 0 16 Jul 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition Xiao-Li Li Yining Liu Na Dong Sitian Qin Xiaolin Hu 85 4 0 15 Jul 2024
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation Zhilin Zhu Xiaopeng Hong Zhiheng Ma Weijun Zhuang Yaohui Ma Yong Dai Yaowei Wang CLL TTA 92 2 0 12 Jul 2024
Salt & Pepper Heatmaps: Diffusion-informed Landmark Detection Strategy Julian Wyatt Irina Voiculescu MedIm 48 0 0 12 Jul 2024
DroneMOT: Drone-based Multi-Object Tracking Considering Detection Difficulties and Simultaneous Moving of Drones and Objects Peng Wang Yongcai Wang Deying Li VOT 88 3 0 12 Jul 2024
SUMix: Mixup with Semantic and Uncertain Information Huafeng Qin Xin Jin Hongyu Zhu Hongchao Liao M. El-Yacoubi Xinbo Gao UQCV 113 7 0 10 Jul 2024
Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics Elena Camuffo Umberto Michieli Simone Milani J. Moon Mete Ozay 118 1 0 08 Jul 2024
AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing Tong Zhou Jiahui Zhao Yukui Luo Xi Xie Wujie Wen Caiwen Ding Xiaolin Xu 94 16 0 08 Jul 2024
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning Zeju Li Ying-Qiu Zheng Chen Chen Saâd Jbabdi 78 0 0 07 Jul 2024
Leveraging Topological Guidance for Improved Knowledge Distillation Eun Som Jeon Rahul Khurana Aishani Pathak Pavan Turaga 79 0 0 07 Jul 2024
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data Eun Som Jeon Hongjun Choi A. Shukla Yuan Wang Hyunglae Lee M. Buman Pavan Turaga 60 3 0 07 Jul 2024
Revealing the Utilized Rank of Subspaces of Learning in Neural Networks Isha Garg Christian Koguchi Eshan Verma Daniel Ulbricht 51 0 0 05 Jul 2024
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density Peiyu Yang Naveed Akhtar Mubarak Shah Ajmal Mian AAML 67 1 0 05 Jul 2024
Predictive Coding Networks and Inference Learning: Tutorial and Survey B. V. Zwol Ro Jefferson E. V. D. Broek 95 0 0 04 Jul 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness Kejia Zhang Juanjuan Weng Yuanzheng Cai Shaozi Li Shaozi Li AAML 177 0 0 04 Jul 2024
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification Xuerong Zhang Li Huang Jing Lv Ming Yang 64 2 0 04 Jul 2024
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning Saandeep Aathreya Shaun J. Canavan OODD 66 0 0 03 Jul 2024
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization Hanxi Li Jingqi Wu Lin Yuanbo Wu Hao Chen Deyin Liu Chunhua Shen 87 0 0 03 Jul 2024
Domain-independent detection of known anomalies Jonas Buhler Jonas Fehrenbach Lucas Steinmann Christian Nauck Marios Koulakis 167 0 0 03 Jul 2024
Parameter-Selective Continual Test-Time Adaptation Jiaxu Tian Fan Lyu TTA CLL 113 1 0 02 Jul 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning Models Zitao Chen Karthik Pattabiraman MIACV MLAU AAML MIALM 120 0 0 02 Jul 2024
ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection Yun Liang Zhiguang Hu Junjie Huang Donglin Di Anyang Su Lei Fan 95 3 0 01 Jul 2024
How Does Overparameterization Affect Features? Ahmet Cagri Duzgun Samy Jelassi Yuanzhi Li 43 0 0 01 Jul 2024
Diffusion Models and Representation Learning: A Survey Michael Fuest Pingchuan Ma Ming Gui Johannes S. Fischer Vincent Tao Hu Bjorn Ommer DiffM 104 24 0 30 Jun 2024
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness Yiquan Li Zhongzhu Chen Kun Jin Jiongxiao Wang Bo Li Chaowei Xiao DiffM 91 2 0 30 Jun 2024
On the Trade-off between Flatness and Optimization in Distributed Learning Ying Cao Zhaoxian Wu Kun Yuan Ali H. Sayed 103 1 0 28 Jun 2024
Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation Yushun Tang Shuoshuo Chen Zhehan Kan Yi Zhang Qinghai Guo Zhihai He 96 2 0 27 Jun 2024
Instance Temperature Knowledge Distillation Zhengbo Zhang Yuxi Zhou Jia Gong Jun Liu Zhigang Tu 108 2 0 27 Jun 2024
Fast Optimizer Benchmark Simon Blauth Tobias Bürger Zacharias Häringer Jörg Franke Frank Hutter 53 0 0 26 Jun 2024
Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification Yaqian Hao Chenguang Hu Yingying Gao Shilei Zhang Junlan Feng 64 0 0 26 Jun 2024
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations Yaqian Hao Chenguang Hu Yingying Gao Shilei Zhang Junlan Feng 69 1 0 26 Jun 2024
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection Yi Li Plamen Angelov Zhengxin Yu Alvaro Lopez Pellicer Neeraj Suri 63 3 0 22 Jun 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning Zhiyu Wu Jinshi Cui 114 2 0 22 Jun 2024
DataFreeShield: Defending Adversarial Attacks without Training Data Hyeyoon Lee Kanghyun Choi Dain Kwon Sunjong Park Mayoore S. Jaiswal Noseong Park Jonghyun Choi Jinho Lee 78 0 0 21 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 248 1 0 21 Jun 2024
Adaptive Adversarial Cross-Entropy Loss for Sharpness-Aware Minimization Tanapat Ratchatorn Masayuki Tanaka AAML 106 1 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 122 0 0 20 Jun 2024
Exploring Layerwise Adversarial Robustness Through the Lens of t-SNE Inês Valentim Nuno Antunes Nuno Lourenço AAML 71 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 73 3 0 19 Jun 2024
Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation Bjorn Nieth Thomas Altstidl Leo Schwinn Björn Eskofier AAML 109 3 0 19 Jun 2024
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning Kai Gan Tong Wei Min-Ling Zhang 106 1 0 19 Jun 2024
DLP: towards active defense against backdoor attacks with decoupled learning process Zonghao Ying Bin Wu AAML 116 10 0 18 Jun 2024
Online Anchor-based Training for Image Classification Tasks Maria Tzelepi Vasileios Mezaris 123 0 0 18 Jun 2024
Federated Learning with a Single Shared Image Sunny Soni Aaqib Saeed Yuki M. Asano FedML DD 106 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 Shaozi Li AAML 100 1 0 17 Jun 2024
NBA: defensive distillation for backdoor removal via neural behavior alignment Zonghao Ying Bin Wu AAML 50 10 0 16 Jun 2024
A Rate-Distortion View of Uncertainty Quantification Ifigeneia Apostolopoulou Benjamin Eysenbach Frank Nielsen Artur Dubrawski UQCV 107 2 0 16 Jun 2024