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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

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Title
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 75 16 0 02 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay Yuhang Zhou Zhongyun Hua AAML CLL 96 4 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 78 5 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 62 0 0 31 Mar 2024
94% on CIFAR-10 in 3.29 Seconds on a Single GPU Keller Jordan VLM 70 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 114 6 0 30 Mar 2024
Efficient Data-Free Model Stealing with Label Diversity Yiyong Liu Rui Wen Michael Backes Yang Zhang AAML 69 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 73 9 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 81 6 0 28 Mar 2024
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates Natalie Lang Alejandro Cohen Nir Shlezinger FedML 85 6 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 75 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 62 2 0 26 Mar 2024
Bidirectional Consistency Models Liangchen Li Jiajun He DiffM 153 15 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 68 5 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 155 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 84 2 0 24 Mar 2024
Adversarial Guided Diffusion Models for Adversarial Purification Guang Lin Zerui Tao Jianhai Zhang Toshihisa Tanaka Qibin Zhao 100 5 0 24 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 81 1 0 23 Mar 2024
Cell Variational Information Bottleneck Network Zhonghua Zhai Chen Ju Jinsong Lan Shuai Xiao 47 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 93 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 78 9 0 20 Mar 2024
Ultra-High-Resolution Image Synthesis with Pyramid Diffusion Model Jiajie Yang 62 0 0 19 Mar 2024
TransformMix: Learning Transformation and Mixing Strategies from Data Tsz-Him Cheung Dit-Yan Yeung 54 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 81 5 0 19 Mar 2024
Friendly Sharpness-Aware Minimization Tao Li Pan Zhou Zhengbao He Xinwen Cheng Xiaolin Huang AAML 82 17 0 19 Mar 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation Luhuan Wu Sinead Williamson UQCV 91 7 0 18 Mar 2024
PAON: A New Neuron Model using Padé Approximants Onur Keleş A. Murat Tekalp 57 1 0 18 Mar 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM Linyu Tang Lei Zhang AAML 87 5 0 18 Mar 2024
Automated data processing and feature engineering for deep learning and big data applications: a survey A. Mumuni F. Mumuni TPM 84 60 0 18 Mar 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning Hyuck Lee Heeyoung Kim 91 3 0 15 Mar 2024
Revisiting Adversarial Training under Long-Tailed Distributions Xinli Yue Ningping Mou Qian Wang Lingchen Zhao AAML 109 7 0 15 Mar 2024
Efficiently Computing Similarities to Private Datasets A. Backurs Zinan Lin S. Mahabadi Sandeep Silwal Jakub Tarnawski 93 6 0 13 Mar 2024
Random Search as a Baseline for Sparse Neural Network Architecture Search Rezsa Farahani 61 0 0 13 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 126 7 0 13 Mar 2024
Do Deep Neural Network Solutions Form a Star Domain? Ankit Sonthalia Alexander Rubinstein Ehsan Abbasnejad Seong Joon Oh MoMe 594 4 5 12 Mar 2024
Uncertainty-guided Contrastive Learning for Single Source Domain Generalisation Anastasios Arsenos D. Kollias Evangelos Petrongonas Christos Skliros Stefanos D. Kollias 76 14 0 12 Mar 2024
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling Hyungi Lee G. Nam Edwin Fong Juho Lee BDL 80 6 0 12 Mar 2024
Distribution-Aware Data Expansion with Diffusion Models Haowei Zhu Ling Yang Jun-Hai Yong Hongzhi Yin Jiawei Jiang Meng Xiao Wentao Zhang Bin Wang 74 4 0 11 Mar 2024
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor Jaewon Jung Hongsun Jang Jaeyong Song Jinho Lee OOD AAML 261 6 0 11 Mar 2024
Incorporating Improved Sinusoidal Threshold-based Semi-supervised Method and Diffusion Models for Osteoporosis Diagnosis Wenchi Ke DiffM MedIm 27 0 0 11 Mar 2024
Enhanced Sparsification via Stimulative Training Shengji Tang Weihao Lin Hancheng Ye Peng Ye Chong Yu Baopu Li Tao Chen 60 2 0 11 Mar 2024
On the Diminishing Returns of Width for Continual Learning E. Guha V. Lakshman CLL 68 6 0 11 Mar 2024
Towards Decoupling Frontend Enhancement and Backend Recognition in Monaural Robust ASR Yufeng Yang Ashutosh Pandey DeLiang Wang 57 4 0 11 Mar 2024
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape Tiejin Chen Wenwang Huang Linsey Pang Dongsheng Luo Hua Wei OOD 64 0 0 09 Mar 2024
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection Ximiao Zhang Min Xu Xiuzhuang Zhou 121 61 0 09 Mar 2024
Frequency Attention for Knowledge Distillation Cuong Pham Van-Anh Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do 73 18 0 09 Mar 2024
Augmentations vs Algorithms: What Works in Self-Supervised Learning Warren Morningstar Alex Bijamov Chris Duvarney Luke Friedman Neha Kalibhat ... Philip Mansfield Renan A. Rojas-Gomez Karan Singhal Bradley Green Sushant Prakash SSL 77 12 0 08 Mar 2024
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets Lorenzo Brigato Stavroula Mougiakakou 69 0 0 08 Mar 2024
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds Tianrui Lou Xiaojun Jia Jindong Gu Li Liu Siyuan Liang Bangyan He Xiaochun Cao 66 11 0 08 Mar 2024
Privacy Amplification for the Gaussian Mechanism via Bounded Support Shengyuan Hu Saeed Mahloujifar Virginia Smith Kamalika Chaudhuri Chuan Guo FedML 74 1 0 07 Mar 2024