Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,114 papers shown

Title
RAT: Boosting Misclassification Detection Ability without Extra Data Ge Yan Tsui-Wei Weng AAML 90 0 0 18 Mar 2025
Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning Sunwoo Lee 98 0 0 18 Mar 2025
Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection Chunlei Li Yilei Shi Jingliang Hu Xiao Xiang Zhu Lichao Mou MedIm 55 0 0 18 Mar 2025
An Optimization Framework for Differentially Private Sparse Fine-Tuning Mehdi Makni Kayhan Behdin Gabriel Afriat Zheng Xu Sergei Vassilvitskii Natalia Ponomareva Hussein Hazimeh Rahul Mazumder 46 0 0 17 Mar 2025
On Local Posterior Structure in Deep Ensembles Mikkel Jordahn Jonas Vestergaard Jensen Mikkel N. Schmidt Michael Riis Andersen UQCV BDL OOD 51 0 0 17 Mar 2025
A Comparative Study of Invariance-Aware Loss Functions for Deep Learning-based Gridless Direction-of-Arrival Estimation Kuan-Lin Chen Bhaskar D. Rao 57 1 0 16 Mar 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data Lilin Zhang Chengpei Wu Ning Yang 34 0 0 14 Mar 2025
Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning Jisoo Kim Sungmin Kang Sunwoo Lee FedML 37 0 0 14 Mar 2025
Unlocking Open-Set Language Accessibility in Vision Models Fawaz Sammani Jonas Fischer Nikos Deligiannis VLM 53 0 0 14 Mar 2025
Benefits of Learning Rate Annealing for Tuning-Robustness in Stochastic Optimization Amit Attia Tomer Koren 65 1 0 13 Mar 2025
Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity D. López Nuria Rodríguez Barroso M. V. Luzón Francisco Herrera 58 0 0 12 Mar 2025
Now you see me! A framework for obtaining class-relevant saliency maps Nils Philipp Walter Jilles Vreeken Jonas Fischer FAtt 40 0 0 10 Mar 2025
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time Xiaotian Han Tianlong Chen Kaixiong Zhou Zhimeng Jiang Zhangyang Wang Xia Hu 136 0 0 10 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 44 0 0 09 Mar 2025
MMARD: Improving the Min-Max Optimization Process in Adversarial Robustness Distillation Yuzheng Wang Zhaoyu Chen Dingkang Yang Yuanhang Wang Lizhe Qi AAML 53 0 0 09 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 147 0 0 09 Mar 2025
DDAD: A Two-pronged Adversarial Defense Based on Distributional Discrepancy Jiacheng Zhang Benjamin I. P. Rubinstein J. Zhang Feng Liu 69 0 0 04 Mar 2025
Elliptic Loss Regularization Ali Hasan Haoming Yang Yuting Ng Vahid Tarokh 68 1 0 04 Mar 2025
Sharpness-Aware Minimization: General Analysis and Improved Rates Dimitris Oikonomou Nicolas Loizou 65 0 0 04 Mar 2025
MI-DETR: An Object Detection Model with Multi-time Inquiries Mechanism Zhixiong Nan Xianghong Li Jifeng Dai Tao Xiang 46 0 0 03 Mar 2025
Improving the Transferability of Adversarial Attacks by an Input Transpose Qing Wan Shilong Deng Xun Wang AAML 34 0 0 02 Mar 2025
Customer Analytics using Surveillance Video Earnest Paul Ijjina A. Joshi Goutham Kanahasabai Keerthi Priyanka P 35 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 27 14 0 01 Mar 2025
Same accuracy, twice as fast: continuous training surpasses retraining from scratch Eli Verwimp Guy Hacohen Tinne Tuytelaars OnRL 39 0 0 28 Feb 2025
FoCTTA: Low-Memory Continual Test-Time Adaptation with Focus Youbing Hu Yun Cheng Zimu Zhou Anqi Lu Zhiqiang Cao Zhijun Li TTA 59 0 0 28 Feb 2025
L-Lipschitz Gershgorin ResNet Network Marius F. R. Juston William R. Norris Dustin Nottage A. Soylemezoglu 46 0 0 28 Feb 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 199 0 0 27 Feb 2025
Online Meta-learning for AutoML in Real-time (OnMAR) Mia Gerber Anna Sergeevna Bosman J. D. Villiers OffRL 34 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 55 0 0 27 Feb 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification Mingkun Zhang Keping Bi Wei Chen J. Guo Xueqi Cheng BDL VLM 50 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 153 0 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 52 0 0 25 Feb 2025
Effective Field Neural Network Xi Liu Yujun Zhao Chun Yu Wan Yang Zhang Junwei Liu AI4CE 31 0 0 24 Feb 2025
Optimizing Estimators of Squared Calibration Errors in Classification Sebastian G. Gruber Francis Bach 69 1 0 24 Feb 2025
Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation Trevine Oorloff Yaser Yacoob Abhinav Shrivastava 46 0 0 24 Feb 2025
Detecting OOD Samples via Optimal Transport Scoring Function Heng Gao Zhuolin He Jian Pu OODD 32 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 54 0 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 Y. Xu 31 0 0 22 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 33 0 0 22 Feb 2025
Transfer Learning with Pre-trained Conditional Generative Models Shinýa Yamaguchi Sekitoshi Kanai Atsutoshi Kumagai Daiki Chijiwa H. Kashima VLM CLL BDL DiffM 127 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 50 5 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 39 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 28 0 0 15 Feb 2025
Contrastive Representation Distillation via Multi-Scale Feature Decoupling Cuipeng Wang Tieyuan Chen Haipeng Wang 49 0 0 09 Feb 2025
Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model Zinan Lin Tadas Baltrusaitis Sergey Yekhanin SyDa 83 1 0 08 Feb 2025
Improving Adversarial Robustness via Phase and Amplitude-aware Prompting Yibo Xu Dawei Zhou Decheng Liu N. Wang AAML 52 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 46 1 0 05 Feb 2025
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Chris Kolb T. Weber Bernd Bischl David Rügamer 102 0 0 04 Feb 2025
MoireDB: Formula-generated Interference-fringe Image Dataset Yuto Matsuo Ryo Hayamizu Hirokatsu Kataoka Akio Nakamura 37 0 0 03 Feb 2025
Rethinking Early Stopping: Refine, Then Calibrate Eugene Berta David Holzmüller Michael I. Jordan Francis Bach 62 0 0 31 Jan 2025