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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
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
Asymmetric Decision-Making in Online Knowledge Distillation:Unifying Consensus and Divergence Zhaowei Chen Borui Zhao Yuchen Ge Yuhao Chen Renjie Song Jiajun Liang 77 0 0 09 Mar 2025
Sharpness-Aware Minimization: General Analysis and Improved Rates Dimitris Oikonomou Nicolas Loizou 94 1 0 04 Mar 2025
Elliptic Loss Regularization Ali Hasan Haoming Yang Yuting Ng Vahid Tarokh 134 1 0 04 Mar 2025
One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy Jiacheng Zhang Benjamin I. P. Rubinstein Jing Zhang Feng Liu 131 0 0 04 Mar 2025
MI-DETR: An Object Detection Model with Multi-time Inquiries Mechanism Zhixiong Nan Xianghong Li Jifeng Dai Tao Xiang 136 0 0 03 Mar 2025
Improving the Transferability of Adversarial Attacks by an Input Transpose Qing Wan Shilong Deng Xun Wang AAML 104 0 0 02 Mar 2025
Customer Analytics using Surveillance Video Earnest Paul Ijjina A. Joshi Goutham Kanahasabai Keerthi Priyanka P 52 0 0 01 Mar 2025
Deep Learning based approach to detect Customer Age, Gender and Expression in Surveillance Video Earnest Paul Ijjina Goutham Kanahasabai A. Joshi 55 14 0 01 Mar 2025
FoCTTA: Low-Memory Continual Test-Time Adaptation with Focus Youbing Hu Yun Cheng Zimu Zhou Anqi Lu Zhiqiang Cao Zhijun Li TTA 84 0 0 28 Feb 2025
L-Lipschitz Gershgorin ResNet Network Marius F. R. Juston William R. Norris Dustin Nottage A. Soylemezoglu 92 0 0 28 Feb 2025
Same accuracy, twice as fast: continuous training surpasses retraining from scratch Eli Verwimp Guy Hacohen Tinne Tuytelaars OnRL 79 0 0 28 Feb 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 278 0 0 27 Feb 2025
Online Meta-learning for AutoML in Real-time (OnMAR) Mia Gerber Anna Sergeevna Bosman J. D. Villiers OffRL 89 0 0 27 Feb 2025
LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 127 0 0 27 Feb 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification Mingkun Zhang Keping Bi Wei Chen Jiafeng Guo Xueqi Cheng BDL VLM 176 2 0 25 Feb 2025
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation Guang Lin D. Nguyen Zerui Tao Konstantinos Slavakis Toshihisa Tanaka Qibin Zhao AAML 110 1 0 25 Feb 2025
SASSHA: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation Dahun Shin Dongyeop Lee Jinseok Chung Namhoon Lee ODL AAML 517 0 0 25 Feb 2025
Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation Trevine Oorloff Yaser Yacoob Abhinav Shrivastava 72 0 0 24 Feb 2025
Effective Field Neural Network Xi Liu Yujun Zhao Chun Yu Wan Yang Zhang Junwei Liu AI4CE 85 0 0 24 Feb 2025
Optimizing Estimators of Squared Calibration Errors in Classification Sebastian G. Gruber Francis Bach 235 2 0 24 Feb 2025
Good Representation, Better Explanation: Role of Convolutional Neural Networks in Transformer-Based Remote Sensing Image Captioning Swadhin Das Saarthak Gupta and Kamal Kumar Raksha Sharma 50 1 0 22 Feb 2025
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition Chuanguang Yang Xinqiang Yu Han Yang Zhulin An Chengqing Yu Libo Huang Yongjun Xu 108 3 0 22 Feb 2025
Detecting OOD Samples via Optimal Transport Scoring Function Heng Gao Zhuolin He Jian Pu OODD 59 0 0 22 Feb 2025
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning Hanxuan Wang Na Lu Xueying Zhao Yuxuan Yan Kaipeng Ma Kwoh Chee Keong Gustavo Carneiro NoLa 117 0 0 22 Feb 2025
Transfer Learning with Pre-trained Conditional Generative Models Shin'ya Yamaguchi Sekitoshi Kanai Atsutoshi Kumagai Daiki Chijiwa H. Kashima VLM CLL BDL DiffM 261 5 0 21 Feb 2025
Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for LLMs Shane Bergsma Nolan Dey Gurpreet Gosal Gavia Gray Daria Soboleva Joel Hestness 109 8 0 21 Feb 2025
GPU Memory Usage Optimization for Backward Propagation in Deep Network Training Ding-Yong Hong Tzu-Hsien Tsai Ning Wang Pangfeng Liu Jan-Jan Wu 116 0 0 18 Feb 2025
A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization Xiliang Yang Shenyang Deng Shicong Liu Yuanchi Suo Wing.W.Y NG Jianjun Zhang 56 0 0 15 Feb 2025
Contrastive Representation Distillation via Multi-Scale Feature Decoupling Cuipeng Wang Tieyuan Chen Haipeng Wang 103 0 0 09 Feb 2025
Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model Zinan Lin Tadas Baltrusaitis Wenyu Wang Sergey Yekhanin SyDa 188 4 0 08 Feb 2025
Improving Adversarial Robustness via Phase and Amplitude-aware Prompting Yibo Xu Dawei Zhou Decheng Liu N. Wang AAML 89 0 0 06 Feb 2025
Advancing Weight and Channel Sparsification with Enhanced Saliency Xinglong Sun Maying Shen Hongxu Yin Lei Mao Pavlo Molchanov Jose M. Alvarez 86 1 0 05 Feb 2025
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Chris Kolb T. Weber Bernd Bischl David Rügamer 372 1 0 04 Feb 2025
MoireDB: Formula-generated Interference-fringe Image Dataset Yuto Matsuo Ryo Hayamizu Hirokatsu Kataoka Akio Nakamura 77 0 0 03 Feb 2025
Rethinking Early Stopping: Refine, Then Calibrate Eugene Berta David Holzmüller Michael I. Jordan Francis Bach 143 1 0 31 Jan 2025
Enhancing Robust Fairness via Confusional Spectral Regularization Gaojie Jin Sihao Wu Jiaxu Liu Tianjin Huang Ronghui Mu 214 1 0 22 Jan 2025
A margin-based replacement for cross-entropy loss Michael W. Spratling Heiko H. Schütt 158 0 0 21 Jan 2025
Improving the Efficiency of Self-Supervised Adversarial Training through Latent Clustering-Based Selection Somrita Ghosh Yuelin Xu Xiao Zhang AAML OOD 83 0 0 15 Jan 2025
Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm Yilang Zhang Bingcong Li G. Giannakis AAML 55 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 143 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 73 0 0 08 Jan 2025
Stability and Generalization in Free Adversarial Training Xiwei Cheng Kexin Fu Farzan Farnia AAML 84 3 0 08 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 252 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 90 1 0 27 Dec 2024
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection Qiyu Chen Huiyuan Luo Han Gao Chengkan Lv Zhengtao Zhang 110 7 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 170 5 0 22 Dec 2024
Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networks Jinping Zou Xiaoge Deng Tao Sun 106 1 0 22 Dec 2024
Grams: Gradient Descent with Adaptive Momentum Scaling Yang Cao Xiaoyu Li Zhao Song ODL 199 3 0 22 Dec 2024
Cross-View Consistency Regularisation for Knowledge Distillation W. Zhang Dongnan Liu Weidong Cai Chao Ma 164 2 0 21 Dec 2024