Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,117 papers shown

Title
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation Yeonguk Yu Sungho Shin S. Back Minhwan Ko Sangjun Noh Kyoobin Lee TTA OOD 42 4 0 17 Apr 2024
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark Jiang-She Zhang Chengjie Wang Xiangtai Li Guanzhong Tian Zhucun Xue Yong Liu Guansong Pang Dacheng Tao 56 4 0 16 Apr 2024
Do Counterfactual Examples Complicate Adversarial Training? Eric C. Yeats Cameron Darwin Eduardo Ortega Frank Liu Hai Li DiffM 48 0 0 16 Apr 2024
ReffAKD: Resource-efficient Autoencoder-based Knowledge Distillation Divyang Doshi Jung-Eun Kim 36 1 0 15 Apr 2024
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model Masahito Toba Seiichi Uchida Hideaki Hayashi 39 0 0 15 Apr 2024
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies Brian Bartoldson James Diffenderfer Konstantinos Parasyris B. Kailkhura AAML 54 13 0 14 Apr 2024
Incremental Self-training for Semi-supervised Learning Member Ieee Jifeng Guo Zhulin Liu Senior Member Ieee Tong Zhang F. I. C. L. Philip Chen CLL 33 3 0 14 Apr 2024
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization Runqi Lin Chaojian Yu Tongliang Liu AAML 40 9 0 11 Apr 2024
SFSORT: Scene Features-based Simple Online Real-Time Tracker M. M. Morsali Z. Sharifi F. Fallah S. Hashembeiki H. Mohammadzade S. B. Shouraki VOT 37 3 0 11 Apr 2024
Evolving Loss Functions for Specific Image Augmentation Techniques Brandon Morgan Dean Frederick Hougen 43 0 0 09 Apr 2024
Unified Entropy Optimization for Open-Set Test-Time Adaptation Zhengqing Gao Xu-Yao Zhang Cheng-Lin Liu TTA 39 5 0 09 Apr 2024
Tackling Structural Hallucination in Image Translation with Local Diffusion Seunghoi Kim Chen Jin Tom Diethe Matteo Figini Henry F. J. Tregidgo A. Mullokandov Philip Teare Daniel C. Alexander MedIm 35 5 0 09 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 59 5 0 08 Apr 2024
Continual Learning with Weight Interpolation Jkedrzej Kozal Jan Wasilewski Bartosz Krawczyk Michal Wo'zniak CLL MoMe 47 6 0 05 Apr 2024
Test Time Training for Industrial Anomaly Segmentation Alex Costanzino Pierluigi Zama Ramirez Mirko Del Moro Agostino Aiezzo Giuseppe Lisanti Samuele Salti Luigi Di Stefano 48 0 0 04 Apr 2024
Red-Teaming Segment Anything Model K. Jankowski Bartlomiej Sobieski Mateusz Kwiatkowski J. Szulc Michael F. Janik Hubert Baniecki P. Biecek VLM AAML 48 3 0 02 Apr 2024
Co-Speech Gesture Video Generation via Motion-Decoupled Diffusion Model Xu He Qiaochu Huang Zhensong Zhang Zhiwei Lin Zhiyong Wu Sicheng Yang Minglei Li Zhiyi Chen Songcen Xu Xiaofei Wu 40 15 0 02 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay Yuhang Zhou Zhongyun Hua AAML CLL 48 3 0 02 Apr 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning Hongwei Zheng Linyuan Zhou Han Li Jinming Su Xiaoming Wei Xiaoming Xu 42 4 0 01 Apr 2024
Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment Jia Guo Haonan Han Shuai Lu Weihang Zhang Huiqi Li 40 0 0 31 Mar 2024
94% on CIFAR-10 in 3.29 Seconds on a Single GPU Keller Jordan VLM 37 5 0 30 Mar 2024
Revisiting Random Weight Perturbation for Efficiently Improving Generalization Tao Li Qinghua Tao Weihao Yan Zehao Lei Yingwen Wu Kun Fang Mingzhen He Xiaolin Huang AAML 57 5 0 30 Mar 2024
Efficient Data-Free Model Stealing with Label Diversity Yiyong Liu Rui Wen Michael Backes Yang Zhang AAML 49 2 0 29 Mar 2024
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts Yuzheng Wang Dingkang Yang Zhaoyu Chen Yang Liu Siao Liu Wenqiang Zhang Lihua Zhang Lizhe Qi 37 6 0 28 Mar 2024
A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews M. Dia G. Khodabandelou Alice Othmani 49 6 0 28 Mar 2024
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates Natalie Lang Alejandro Cohen Nir Shlezinger FedML 58 4 0 27 Mar 2024
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives Shrinivas Ramasubramanian Harsh Rangwani S. Takemori Kunal Samanta Yuhei Umeda Venkatesh Babu Radhakrishnan 49 0 0 27 Mar 2024
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning Joshua C. Zhao Ahaan Dabholkar Atul Sharma Saurabh Bagchi FedML 46 2 0 26 Mar 2024
Bidirectional Consistency Models Liangchen Li Jiajun He DiffM 72 12 0 26 Mar 2024
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning Shuyang Cheng Guanhong Tao Yingqi Liu Guangyu Shen Shengwei An Shiwei Feng Xiangzhe Xu Kaiyuan Zhang Shiqing Ma Xiangyu Zhang AAML 40 4 0 25 Mar 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Emad Fallahzadeh Bram Adams Ahmed E. Hassan MQ 45 3 0 25 Mar 2024
A Codesign of Scheduling and Parallelization for Large Model Training in Heterogeneous Clusters Chunyu Xue Weihao Cui Han Zhao Quan Chen Shulai Zhang Peng Yang Jing Yang Shaobo Li Minyi Guo 56 2 0 24 Mar 2024
Adversarial Guided Diffusion Models for Adversarial Purification Guang Lin Zerui Tao Jianhai Zhang Toshihisa Tanaka Qibin Zhao 40 6 0 24 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 0 23 Mar 2024
Cell Variational Information Bottleneck Network Zhonghua Zhai Chen Ju Jinsong Lan Shuai Xiao 40 0 0 22 Mar 2024
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks Jinyung Hong Eunyeong Jeon Changhoon Kim Keun Hee Park Utkarsh Nath Yezhou Yang Pavan Turaga Theodore P. Pavlic CML 41 0 0 21 Mar 2024
Tackling Noisy Labels with Network Parameter Additive Decomposition Jingyi Wang Xiaobo Xia Long Lan Xinghao Wu Jun-chen Yu Wenjing Yang Bo Han Tongliang Liu NoLa 48 8 0 20 Mar 2024
Ultra-High-Resolution Image Synthesis with Pyramid Diffusion Model Jiajie Yang 45 0 0 19 Mar 2024
TransformMix: Learning Transformation and Mixing Strategies from Data Tsz-Him Cheung Dit-Yan Yeung 45 1 0 19 Mar 2024
DMAD: Dual Memory Bank for Real-World Anomaly Detection Jianlong Hu Xu Chen Zhenye Gan Jinlong Peng Shengchuan Zhang Jiangning Zhang Yabiao Wang Chengjie Wang Liujuan Cao Rongrong Ji 42 4 0 19 Mar 2024
Friendly Sharpness-Aware Minimization Tao Li Pan Zhou Zhengbao He Xinwen Cheng Xiaolin Huang AAML 54 15 0 19 Mar 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation Luhuan Wu Sinead Williamson UQCV 43 6 0 18 Mar 2024
PAON: A New Neuron Model using Padé Approximants Onur Keleş A. Murat Tekalp 48 1 0 18 Mar 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM Linyu Tang Lei Zhang AAML 35 3 0 18 Mar 2024
Automated data processing and feature engineering for deep learning and big data applications: a survey A. Mumuni F. Mumuni TPM 51 51 0 18 Mar 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning Hyuck Lee Heeyoung Kim 48 2 0 15 Mar 2024
Revisiting Adversarial Training under Long-Tailed Distributions Xinli Yue Ningping Mou Qian Wang Lingchen Zhao AAML 38 7 0 15 Mar 2024
Efficiently Computing Similarities to Private Datasets A. Backurs Zinan Lin S. Mahabadi Sandeep Silwal Jakub Tarnawski 73 4 0 13 Mar 2024
Random Search as a Baseline for Sparse Neural Network Architecture Search Rezsa Farahani 38 0 0 13 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 70 5 0 13 Mar 2024