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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

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Title
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift Jiamin Chang Haoyang Li Hammond Pearce Ruoxi Sun Yue Liu Minhui Xue 85 0 0 28 Apr 2025
Swapped Logit Distillation via Bi-level Teacher Alignment Stephen Ekaputra Limantoro Jhe-Hao Lin Chih-Yu Wang Yi-Lung Tsai Hong-Han Shuai Ching-Chun Huang Wen-Huang Cheng 166 0 0 27 Apr 2025
Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation Meixi Zheng Kehan Wu Yanbo Fan Rui Huang Baoyuan Wu AAML 76 0 0 23 Apr 2025
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching Junn Yong Loo Michelle Adeline Julia Kaiwen Lau Fang Yu Leong Hwa Hui Tew Arghya Pal Vishnu Monn Baskaran Chee-Ming Ting Raphaël C.-W. Phan BDL 107 0 0 22 Apr 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration Haoyang Luo Linwei Tao Minjing Dong Chang Xu 141 0 0 18 Apr 2025
The Others: Naturally Isolating Out-of-Distribution Samples for Robust Open-Set Semi-Supervised Learning You Rim Choi Subeom Park Seojun Heo Eunchung Noh Hyung-Sin Kim OODD 146 0 0 17 Apr 2025
IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme Dinh Dai Quan Tran Hoang-Thien Nguyen. Thanh-Huy Nguyen Thanh-Huy Nguyen Gia-Van To T. Nguyen Quan Nguyen 302 0 0 14 Apr 2025
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration Jiani Ni He Zhao Jintong Gao Dandan Guo H. Zha 82 0 0 14 Apr 2025
ReCA: A Parametric ReLU Composite Activation Function John Chidiac Danielle Azar 55 0 0 11 Apr 2025
Adversarial Examples in Environment Perception for Automated Driving (Review) Jun Yan Huilin Yin AAML 93 0 0 11 Apr 2025
MARS: a Multimodal Alignment and Ranking System for Few-Shot Segmentation Nico Catalano Stefano Samele Paolo Pertino Matteo Matteucci 3DPC 94 0 0 10 Apr 2025
Loss Functions in Deep Learning: A Comprehensive Review Omar Elharrouss Yasir Mahmood Yassine Bechqito Mohamed Adel Serhani E. Badidi Jamal Riffi Hamid Tairi 128 0 0 05 Apr 2025
EOOD: Entropy-based Out-of-distribution Detection Guide Yang Chao Hou Weilong Peng Xiang Fang Yongwei Nie Peican Zhu Keke Tang OODD 143 0 0 04 Apr 2025
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection Yoon Gyo Jung Jaewoo Park Jaeho Yoon Kuan-Chuan Peng Wonchul Kim Andrew Beng Jin Teoh Octavia Camps 124 1 0 03 Apr 2025
GMR-Conv: An Efficient Rotation and Reflection Equivariant Convolution Kernel Using Gaussian Mixture Rings Yuexi Du Jiazhen Zhang Nicha Dvornek J. Onofrey AAML 126 0 0 03 Apr 2025
Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank TingJie Zhang HaiLin Liu 71 1 0 01 Apr 2025
Sample-level Adaptive Knowledge Distillation for Action Recognition Ping Li Chenhao Ping Wenxiao Wang Mingli Song 138 0 0 01 Apr 2025
Data-free Knowledge Distillation with Diffusion Models Xiaohua Qi Renda Li Long Peng Q. Ling Jun Yu Ziyi Chen Peng Chang Mei Han Jing Xiao 101 0 0 01 Apr 2025
Transductive One-Shot Learning Meet Subspace Decomposition Kyle Stein A. Mahyari Guillermo Francia III Eman El-Sheikh VLM 118 1 0 01 Apr 2025
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection Aimira Baitieva Yacine Bouaouni Alexandre Briot Dick Ameln Souhaiel Khalfaoui S. Akçay 90 0 0 30 Mar 2025
HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation Hongwei Zheng Han Li Wenrui Dai Ziyang Zheng Chenglin Li Junni Zou Hongkai Xiong 3DH 89 1 0 30 Mar 2025
Instance-Level Data-Use Auditing of Visual ML Models Zonghao Huang Neil Zhenqiang Gong Michael K. Reiter MLAU 99 0 0 28 Mar 2025
DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data Dorde Popovic Amin Sadeghi Ting Yu Sanjay Chawla Issa M. Khalil AAML 131 0 0 27 Mar 2025
SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity Ke Ma Jiaqi Tang B. Guo Fan Dang Sicong Liu ... Lei Wu Cheng Fang Ying-Cong Chen Zhiwen Yu Yunhao Liu TTA 148 0 0 26 Mar 2025
Uncertainty Weighted Gradients for Model Calibration Jinxu Lin Linwei Tao Minjing Dong Chang Xu UQCV 139 0 0 26 Mar 2025
TraNCE: Transformative Non-linear Concept Explainer for CNNs Ugochukwu Ejike Akpudo Yongsheng Gao J. Zhou Andrew Lewis 121 0 0 26 Mar 2025
Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks Tao Wu Tie Luo AAML 176 0 0 26 Mar 2025
Enhancing Dataset Distillation via Non-Critical Region Refinement Minh-Tuan Tran Trung Le Xuan-May Le Thanh-Toan Do Dinh Q. Phung DD 121 0 0 24 Mar 2025
k-NN as a Simple and Effective Estimator of Transferability Moein Sorkhei Christos Matsoukas Johan Fredin Haslum Emir Konuk Kevin Smith 94 0 0 24 Mar 2025
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation Jungsoo Lee Debasmit Das Munawar Hayat Sungha Choi Kyuwoong Hwang Fatih Porikli VLM 110 1 0 23 Mar 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 241 1 0 22 Mar 2025
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers Gaojie Jin Tianjin Huang Ronghui Mu Xiaowei Huang AAML 77 0 0 21 Mar 2025
Beyond Accuracy: What Matters in Designing Well-Behaved Models? Robin Hesse Doğukan Bağcı Bernt Schiele Simone Schaub-Meyer Stefan Roth VLM 112 0 0 21 Mar 2025
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach João B. S. Carvalho Alessandro Torcinovich Victor Jimenez Rodriguez Antonio Emanuele Cinà Carlos Cotrini Lea Schönherr J. M. Buhmann OOD 111 0 0 20 Mar 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors Changlong Shi He Zhao Bingjie Zhang Mingyuan Zhou Dandan Guo Yi Chang 116 0 0 20 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 126 0 0 19 Mar 2025
Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection Chunlei Li Yilei Shi Jingliang Hu Xiao Xiang Zhu Lichao Mou MedIm 112 0 0 18 Mar 2025
RAT: Boosting Misclassification Detection Ability without Extra Data Ge Yan Tsui-Wei Weng AAML 140 0 0 18 Mar 2025
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis Chen Gong Kecen Li Zinan Lin Tianhao Wang 215 5 0 18 Mar 2025
Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning Sunwoo Lee 139 0 0 18 Mar 2025
On Local Posterior Structure in Deep Ensembles Mikkel Jordahn Jonas Vestergaard Jensen Mikkel N. Schmidt Michael Riis Andersen UQCV BDL OOD 151 0 0 17 Mar 2025
An Optimization Framework for Differentially Private Sparse Fine-Tuning Mehdi Makni Kayhan Behdin Gabriel Afriat Zheng Xu Sergei Vassilvitskii Natalia Ponomareva Hussein Hazimeh Rahul Mazumder 117 0 0 17 Mar 2025
A Comparative Study of Invariance-Aware Loss Functions for Deep Learning-based Gridless Direction-of-Arrival Estimation Kuan-Lin Chen Bhaskar D. Rao 99 1 0 16 Mar 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data Lilin Zhang Chengpei Wu Ning Yang 101 0 0 14 Mar 2025
Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning Jisoo Kim Sungmin Kang Sunwoo Lee FedML 74 0 0 14 Mar 2025
Benefits of Learning Rate Annealing for Tuning-Robustness in Stochastic Optimization Amit Attia Tomer Koren 122 1 0 13 Mar 2025
Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity D. López Nuria Rodríguez Barroso M. V. Luzón Francisco Herrera 110 0 0 12 Mar 2025
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time Xiaotian Han Tianlong Chen Kaixiong Zhou Zhimeng Jiang Zhangyang Wang Helen Zhou 509 0 0 10 Mar 2025
Now you see me! A framework for obtaining class-relevant saliency maps Nils Philipp Walter Jilles Vreeken Jonas Fischer FAtt 110 0 0 10 Mar 2025
MMARD: Improving the Min-Max Optimization Process in Adversarial Robustness Distillation Yuzheng Wang Zhaoyu Chen Jinjie Wei Yuanhang Wang Lizhe Qi AAML 147 0 0 09 Mar 2025