Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,117 papers shown

Title
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Chris Kolb T. Weber Bernd Bischl David Rügamer 115 0 0 04 Feb 2025
MoireDB: Formula-generated Interference-fringe Image Dataset Yuto Matsuo Ryo Hayamizu Hirokatsu Kataoka Akio Nakamura 42 0 0 03 Feb 2025
Rethinking Early Stopping: Refine, Then Calibrate Eugene Berta David Holzmüller Michael I. Jordan Francis Bach 75 0 0 31 Jan 2025
Enhancing Robust Fairness via Confusional Spectral Regularization Gaojie Jin Sihao Wu Jiaxu Liu Tianjin Huang Ronghui Mu 99 1 0 22 Jan 2025
A margin-based replacement for cross-entropy loss Michael W. Spratling Heiko H. Schütt 73 0 0 21 Jan 2025
Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm Yilang Zhang Bingcong Li G. Giannakis AAML 41 0 0 11 Jan 2025
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version) Phillip Rieger Alessandro Pegoraro Kavita Kumari Tigist Abera Jonathan Knauer A. Sadeghi AAML 56 2 0 11 Jan 2025
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training Hongxin Zhi Hongtao Yu Shaome Li Xiuming Zhao Yiteng Wu OOD 38 0 0 08 Jan 2025
Stability and Generalization in Free Adversarial Training Xiwei Cheng Kexin Fu Farzan Farnia AAML 48 2 0 08 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 108 2 0 03 Jan 2025
Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Alberto Maté Mariella Dimiccoli AI4TS 33 0 0 27 Dec 2024
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection Qiyu Chen Huiyuan Luo Han Gao Chengkan Lv Zhengtao Zhang 51 4 0 23 Dec 2024
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Yichen Wang Yuxuan Chou Ziqi Zhou Hangtao Zhang Wei Wan Shengshan Hu Minghui Li AAML 133 3 0 22 Dec 2024
Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networks Jinping Zou Xiaoge Deng Tao Sun 79 0 0 22 Dec 2024
Grams: Gradient Descent with Adaptive Momentum Scaling Yang Cao Xiaoyu Li Zhao Song ODL 98 2 0 22 Dec 2024
Cross-View Consistency Regularisation for Knowledge Distillation W. Zhang Dongnan Liu Weidong Cai Chao Ma 75 1 0 21 Dec 2024
Non-Uniform Parameter-Wise Model Merging Albert Manuel Orozco Camacho Stefan Horoi Guy Wolf Eugene Belilovsky MoMe FedML 97 0 0 20 Dec 2024
Dataset Augmentation by Mixing Visual Concepts Abdullah Al Rahat Hemanth Venkateswara DiffM 83 0 0 19 Dec 2024
AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization Wei Luo Haiming Yao Wenyong Yu Zhengyong Li 71 12 0 16 Dec 2024
Neural Collapse Inspired Knowledge Distillation Shuoxi Zhang Zijian Song Kun He 71 1 0 16 Dec 2024
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection Yutian Lei Luping Ji Pei Liu OODD 86 0 0 16 Dec 2024
Relation-Guided Adversarial Learning for Data-free Knowledge Transfer Yingping Liang Ying Fu 80 1 0 16 Dec 2024
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning Pengfei Fang Yongchun Qin H. Xue CLL 86 0 0 15 Dec 2024
PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks Jin Li Zitong Yu Ziqiang He Zhong Wang Xiangui Kang AAML 84 0 0 15 Dec 2024
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling Jinzong Dong Zhaohui Jiang Dong Pan Haoyang Yu 66 0 0 14 Dec 2024
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning Haorong Han Jidong Yuan Chixuan Wei Zhongyang Yu 253 1 0 14 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven Dilshod Azizov Muhammad Arslan Manzoor Velibor Bojkovic Yingxu Wang Zhendong Wang ... Liang Li Siwei Liu Yu Zhong Wei Liu Shangsong Liang OOD AI4TS MedIm 129 0 0 13 Dec 2024
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation Jiaming Lv Haoyuan Yang P. Li 81 1 0 11 Dec 2024
TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Mingxi Lei Chunwei Ma Meng Ding Yufan Zhou Ziyun Huang Jinhui Xu 88 0 0 10 Dec 2024
Towards Zero-shot 3D Anomaly Localization Yizhou Wang Kuan-Chuan Peng Y. Fu 78 3 0 05 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 87 0 0 29 Nov 2024
Random Sampling for Diffusion-based Adversarial Purification Jiancheng Zhang Peiran Dong Yongyong Chen Yin-Ping Zhao Song Guo DiffM 79 1 0 28 Nov 2024
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits Daniel Morales-Brotons Thijs Vogels Hadrien Hendrikx 129 17 0 27 Nov 2024
Adversarial Training in Low-Label Regimes with Margin-Based Interpolation Tian Ye Rajgopal Kannan Viktor Prasanna AAML 73 0 0 27 Nov 2024
Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation Minh-Tuan Tran Trung Le Xuan-May Le Jianfei Cai Mehrtash Harandi Dinh Q. Phung 84 2 0 26 Nov 2024
Beyond adaptive gradient: Fast-Controlled Minibatch Algorithm for large-scale optimization Corrado Coppola Lorenzo Papa Irene Amerini L. Palagi ODL 84 0 0 24 Nov 2024
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Yong Xie Weijie Zheng Hanxun Huang Guangnan Ye Xingjun Ma AAML 72 1 0 20 Nov 2024
Decentralizing Test-time Adaptation under Heterogeneous Data Streams Zixian Su Jingwei Guo Xi Yang Qiufeng Wang K. Huang TTA 89 0 0 16 Nov 2024
Deep Learning for Micro-Scale Crack Detection on Imbalanced Datasets Using Key Point Localization Fatahlla Moreh Yusuf Hasan Bilal Zahid Hussain Mohammad Ammar Sven Tomforde 21 0 0 15 Nov 2024
Hysteresis Activation Function for Efficient Inference Moshe Kimhi Idan Kashani A. Mendelson Chaim Baskin LLMSV 49 0 0 15 Nov 2024
Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head Penghui Yang Chen-Chen Zong Sheng-Jun Huang Lei Feng Bo An 43 1 0 13 Nov 2024
The Inherent Adversarial Robustness of Analog In-Memory Computing Corey Lammie Julian Büchel A. Vasilopoulos Manuel Le Gallo Abu Sebastian AAML 49 0 0 11 Nov 2024
Filling in Missing FX Implied Volatilities with Uncertainties: Improving VAE-Based Volatility Imputation Achintya Gopal 16 0 0 08 Nov 2024
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 39 1 0 05 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training Junhao Dong Xinghua Qu Zhiyuan Wang Yew-Soon Ong AAML 60 1 0 05 Nov 2024
TDDBench: A Benchmark for Training data detection Zhihao Zhu Yi Yang Defu Lian 49 0 0 05 Nov 2024
Specialized Foundation Models Struggle to Beat Supervised Baselines Zongzhe Xu Ritvik Gupta Wenduo Cheng Alexander Shen Junhong Shen Ameet Talwalkar M. Khodak AI4CE 54 7 0 05 Nov 2024
Typicalness-Aware Learning for Failure Detection Yijun Liu Jiequan Cui Zhuotao Tian Senqiao Yang Qingdong He Xiaoling Wang Jingyong Su AAML 28 0 0 04 Nov 2024
Decoupling Dark Knowledge via Block-wise Logit Distillation for Feature-level Alignment Chengting Yu Fengzhao Zhang Ruizhe Chen Zuozhu Liu Shurun Tan Er-ping Li Aili Wang 44 2 0 03 Nov 2024
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection Jingyao Geng Yuan Zhang Jiaqi Huang Feng Xue Falong Tan Chuanlong Xie Shumei Zhang OODD 43 0 0 03 Nov 2024