Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,117 papers shown

Title
Do Deep Neural Network Solutions Form a Star Domain? Ankit Sonthalia Alexander Rubinstein Ehsan Abbasnejad Seong Joon Oh MoMe 448 2 5 12 Mar 2024
Uncertainty-guided Contrastive Learning for Single Source Domain Generalisation Anastasios Arsenos D. Kollias Evangelos Petrongonas Christos Skliros Stefanos D. Kollias 40 13 0 12 Mar 2024
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling Hyungi Lee G. Nam Edwin Fong Juho Lee BDL 37 5 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 46 3 0 11 Mar 2024
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor Jaewon Jung Hongsun Jang Jaeyong Song Jinho Lee OOD AAML 189 4 0 11 Mar 2024
Incorporating Improved Sinusoidal Threshold-based Semi-supervised Method and Diffusion Models for Osteoporosis Diagnosis Wenchi Ke DiffM MedIm 19 0 0 11 Mar 2024
Enhanced Sparsification via Stimulative Training Shengji Tang Weihao Lin Hancheng Ye Peng Ye Chong Yu Baopu Li Tao Chen 45 2 0 11 Mar 2024
On the Diminishing Returns of Width for Continual Learning E. Guha V. Lakshman CLL 42 4 0 11 Mar 2024
Towards Decoupling Frontend Enhancement and Backend Recognition in Monaural Robust ASR Yufeng Yang Ashutosh Pandey DeLiang Wang 46 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 54 0 0 09 Mar 2024
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection Ximiao Zhang Min Xu Xiuzhuang Zhou 59 50 0 09 Mar 2024
Frequency Attention for Knowledge Distillation Cuong Pham Van-Anh Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do 35 16 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 38 10 0 08 Mar 2024
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets Lorenzo Brigato Stavroula Mougiakakou 50 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 32 8 0 08 Mar 2024
Privacy Amplification for the Gaussian Mechanism via Bounded Support Shengyuan Hu Saeed Mahloujifar Virginia Smith Kamalika Chaudhuri Chuan Guo FedML 49 1 0 07 Mar 2024
GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models Tolga Dimlioglu A. Choromańska 53 3 0 07 Mar 2024
Dual-path Frequency Discriminators for Few-shot Anomaly Detection Yuhu Bai Jiangning Zhang Yuhang Dong Guanzhong Tian Liang Liu Yunkang Cao Yabiao Wang Chengjie Wang 50 2 0 07 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 59 10 0 05 Mar 2024
Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices Younghan Lee Sohee Jun Yungi Cho Woorim Han Hyungon Moon Y. Paek AAML 31 2 0 05 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models B. Fesl Benedikt Bock Florian Strasser Michael Baur M. Joham Wolfgang Utschick DiffM 56 0 0 05 Mar 2024
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning Qianhan Feng Lujing Xie Shijie Fang Tong Lin 40 7 0 04 Mar 2024
Structurally Prune Anything: Any Architecture, Any Framework, Any Time Xun Wang John Rachwan Stephan Günnemann Bertrand Charpentier 48 4 0 03 Mar 2024
Logit Standardization in Knowledge Distillation Shangquan Sun Wenqi Ren Jingzhi Li Rui Wang Xiaochun Cao 42 61 0 03 Mar 2024
SURE: SUrvey REcipes for building reliable and robust deep networks Yuting Li Yingyi Chen Xuanlong Yu Dexiong Chen Xi Shen UQCV OOD 47 4 0 01 Mar 2024
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks Bálint Mucsányi Michael Kirchhof Seong Joon Oh UQCV BDL OODD 446 22 1 29 Feb 2024
On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune? Shuqi Ke Charlie Hou Giulia Fanti Sewoong Oh 46 4 0 29 Feb 2024
Towards Fairness-Aware Adversarial Learning Yanghao Zhang Tianle Zhang Ronghui Mu Xiaowei Huang Wenjie Ruan 36 4 0 27 Feb 2024
Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization Hanqiu Deng Xingyu Li 47 3 0 27 Feb 2024
A Curious Case of Remarkable Resilience to Gradient Attacks via Fully Convolutional and Differentiable Front End with a Skip Connection Leonid Boytsov Ameya Joshi Filipe Condessa AAML 39 0 0 26 Feb 2024
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood Rayen Dhahri Alexander Immer Bertrand Charpentier Stephan Günnemann Vincent Fortuin BDL UQCV 35 4 0 25 Feb 2024
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models Abhishek Singh Gauri Gupta Ritvik Kapila Yichuan Shi Alex Dang Sheshank Shankar Mohammed Ehab Ramesh Raskar FedML 56 0 0 25 Feb 2024
Effective Gradient Sample Size via Variation Estimation for Accelerating Sharpness aware Minimization Jiaxin Deng Junbiao Pang Baochang Zhang Tian Wang 48 1 0 24 Feb 2024
Distilling Adversarial Robustness Using Heterogeneous Teachers Jieren Deng A. Palmer Rigel Mahmood Ethan Rathbun Jinbo Bi Kaleel Mahmood Derek Aguiar AAML 60 0 0 23 Feb 2024
Iteration and Stochastic First-order Oracle Complexities of Stochastic Gradient Descent using Constant and Decaying Learning Rates Kento Imaizumi Hideaki Iiduka 29 2 0 23 Feb 2024
On the Duality Between Sharpness-Aware Minimization and Adversarial Training Yihao Zhang Hangzhou He Jingyu Zhu Huanran Chen Yifei Wang Zeming Wei AAML 47 11 0 23 Feb 2024
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge L. Fenaux Florian Kerschbaum AAML 49 0 0 22 Feb 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off Futa Waseda Ching-Chun Chang Isao Echizen AAML 41 0 0 22 Feb 2024
Reimagining Anomalies: What If Anomalies Were Normal? Philipp Liznerski Saurabh Varshneya Ece Calikus Sophie Fellenz Marius Kloft 38 4 0 22 Feb 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 47 14 0 21 Feb 2024
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning Chaoqun Du Yizeng Han Gao Huang 48 5 0 21 Feb 2024
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification Sebastian Doerrich Tobias Archut Francesco Di Salvo Christian Ledig 35 4 0 19 Feb 2024
Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels Shubhi Shukla Manaar Alam Pabitra Mitra Debdeep Mukhopadhyay MLAU AAML 42 1 0 19 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux Max Zimmer Sebastian Pokutta AAML 62 1 0 19 Feb 2024
The Effectiveness of Random Forgetting for Robust Generalization V. Ramkumar Bahram Zonooz Elahe Arani AAML 39 1 0 18 Feb 2024
Knowledge Distillation Based on Transformed Teacher Matching Kaixiang Zheng En-Hui Yang 43 19 0 17 Feb 2024
Theoretical Understanding of Learning from Adversarial Perturbations Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 53 1 0 16 Feb 2024
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients Xinchi Qiu Yan Gao Lorenzo Sani Heng Pan Wanru Zhao Pedro Gusmão Mina Alibeigi Alexandru Iacob Nicholas D. Lane FedML 55 3 0 15 Feb 2024
MLTCP: Congestion Control for DNN Training S. Rajasekaran Sanjoli Narang Anton A. Zabreyko M. Ghobadi 25 1 0 14 Feb 2024
Auditing Private Prediction Karan Chadha Matthew Jagielski Nicolas Papernot Christopher A. Choquette-Choo Milad Nasr 40 4 0 14 Feb 2024