Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,114 papers shown

Title
Enhancing Robust Fairness via Confusional Spectral Regularization Gaojie Jin Sihao Wu Jiaxu Liu Tianjin Huang Ronghui Mu 74 1 0 22 Jan 2025
A margin-based replacement for cross-entropy loss Michael W. Spratling Heiko H. Schütt 68 0 0 21 Jan 2025
Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm Yilang Zhang Bingcong Li G. Giannakis AAML 39 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 48 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 33 0 0 08 Jan 2025
Stability and Generalization in Free Adversarial Training Xiwei Cheng Kexin Fu Farzan Farnia AAML 44 2 0 08 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 94 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 26 0 0 27 Dec 2024
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection Qiyu Chen Huiyuan Luo Han Gao Chengkan Lv Zhengtao Zhang 40 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 115 3 0 22 Dec 2024
Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networks Jinping Zou Xiaoge Deng Tao Sun 74 0 0 22 Dec 2024
Grams: Gradient Descent with Adaptive Momentum Scaling Yang Cao Xiaoyu Li Zhao-quan Song ODL 85 2 0 22 Dec 2024
Cross-View Consistency Regularisation for Knowledge Distillation W. Zhang Dongnan Liu Weidong Cai Chao Ma 68 1 0 21 Dec 2024
Non-Uniform Parameter-Wise Model Merging Albert Manuel Orozco Camacho Stefan Horoi Guy Wolf Eugene Belilovsky MoMe FedML 83 0 0 20 Dec 2024
Dataset Augmentation by Mixing Visual Concepts Abdullah Al Rahat Hemanth Venkateswara DiffM 68 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 64 12 0 16 Dec 2024
Neural Collapse Inspired Knowledge Distillation Shuoxi Zhang Zijian Song Kun He 69 1 0 16 Dec 2024
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection Yutian Lei Luping Ji Pei Liu OODD 76 0 0 16 Dec 2024
Relation-Guided Adversarial Learning for Data-free Knowledge Transfer Yingping Liang Ying Fu 67 1 0 16 Dec 2024
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning Pengfei Fang Yongchun Qin H. Xue CLL 67 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 77 0 0 15 Dec 2024
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning Haorong Han Jidong Yuan Chixuan Wei Zhongyang Yu 149 1 0 14 Dec 2024
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling Jinzong Dong Zhaohui Jiang Dong Pan Haoyang Yu 56 0 0 14 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven Dilshod Azizov Muhammad Arslan Manzoor Velibor Bojkovic Yingxu Wang Z. Wang ... Liang Li Siwei Liu Yu Zhong Wei Liu Shangsong Liang OOD AI4TS MedIm 116 0 0 13 Dec 2024
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation Jiaming Lv Haoyuan Yang P. Li 74 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 81 0 0 10 Dec 2024
Towards Zero-shot 3D Anomaly Localization Yizhou Wang Kuan-Chuan Peng Y. Fu 70 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 72 0 0 29 Nov 2024
Random Sampling for Diffusion-based Adversarial Purification Jiancheng Zhang Peiran Dong Yongyong Chen Yin-Ping Zhao Song Guo DiffM 56 1 0 28 Nov 2024
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits Daniel Morales-Brotons Thijs Vogels Hadrien Hendrikx 121 16 0 27 Nov 2024
Adversarial Training in Low-Label Regimes with Margin-Based Interpolation Tian Ye R. Kannan Viktor Prasanna AAML 61 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 73 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 70 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 84 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 16 0 0 15 Nov 2024
Hysteresis Activation Function for Efficient Inference Moshe Kimhi Idan Kashani A. Mendelson Chaim Baskin LLMSV 23 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 27 1 0 13 Nov 2024
The Inherent Adversarial Robustness of Analog In-Memory Computing C. Lammie Julian Büchel A. Vasilopoulos M. Le Gallo A. Sebastian AAML 44 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 33 1 0 05 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training Junhao Dong Xinghua Qu Zhiyuan Wang Yew-Soon Ong AAML 48 1 0 05 Nov 2024
TDDBench: A Benchmark for Training data detection Zhihao Zhu Yi Yang Defu Lian 44 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 38 6 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 36 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 36 0 0 03 Nov 2024
Denoising Fisher Training For Neural Implicit Samplers Weijian Luo Wei Deng 28 0 0 03 Nov 2024
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Bram Adams Ahmed E. Hassan VLM 34 0 0 01 Nov 2024
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties Xiayan Ji Anton Xue Eric Wong O. Sokolsky Insup Lee 34 1 0 31 Oct 2024