v1v2v3v4 (latest)

Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
Training Data Attribution via Approximate Unrolled Differentiation Juhan Bae Wu Lin Jonathan Lorraine Roger C. Grosse TDI MU 156 18 0 20 May 2024
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning Kai Gan Tong Wei 85 15 0 20 May 2024
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation Suorong Yang Peijia Li Xin Xiong Shen Furao Jian Zhao 66 2 0 19 May 2024
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing Yunlong Zhao Xiaoheng Deng Yijing Liu Xin-jun Pei Jiazhi Xia Wei Chen AAML 48 3 0 18 May 2024
MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection Feng Wang Chengming Liu Lei Shi Haibo Pang 85 2 0 16 May 2024
GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation Andrey V. Galichin Mikhail Aleksandrovich Pautov Alexey Zhavoronkin Oleg Y. Rogov Ivan Oseledets AAML 89 2 0 13 May 2024
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data Yang Yang Nan Jiang Yi Tian Xu De-Chuan Zhan 96 18 0 11 May 2024
KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation Approach Teerath Kumar Alessandra Mileo Malika Bendechache AAML 69 4 0 10 May 2024
Towards Accurate and Robust Architectures via Neural Architecture Search Yuwei Ou Yuqi Feng Yanan Sun AAML 55 2 0 09 May 2024
Supervised Anomaly Detection for Complex Industrial Images Aimira Baitieva David Hurych Victor Besnier Olivier Bernard 97 6 0 08 May 2024
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review Federico Nicolás Peccia Oliver Bringmann 90 0 0 06 May 2024
You Only Need Half: Boosting Data Augmentation by Using Partial Content Juntao Hu Yuan Wu 71 1 0 05 May 2024
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection Canhui Tang Sanpin Zhou Yizhe Li Yonghao Dong Le Wang 67 0 0 03 May 2024
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey Guoping Xu Xiaxia Wang Xinglong Wu Xuesong Leng Yongchao Xu 3DPC 95 11 0 02 May 2024
Error-Driven Uncertainty Aware Training Pedro Mendes Paolo Romano David Garlan UQCV 95 2 0 02 May 2024
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks Mikkel Jordahn Pablo Olmos 99 1 0 02 May 2024
DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation Zhaojin Fu Zheng Chen Jinjiang Li Lu Ren MedIm 51 1 0 01 May 2024
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair Jeonghoon Park Chaeyeon Chung Juyoung Lee Jaegul Choo 77 3 0 30 Apr 2024
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning Michael Majurski Sumeet Menon Parniyan Farvardin David Chapman 84 4 0 27 Apr 2024
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling Di Wu Shicai Fan Xue Zhou Li Yu Yuzhong Deng Jianxiao Zou Baihong Lin DiffM 90 5 0 27 Apr 2024
Two in One Go: Single-stage Emotion Recognition with Decoupled Subject-context Transformer Xinpeng Li Teng Wang Jian Zhao Shuyi Mao Jinbao Wang Feng Zheng Xiaojiang Peng Xuelong Li 92 1 0 26 Apr 2024
CSCO: Connectivity Search of Convolutional Operators Tunhou Zhang Shiyu Li Hsin-Pai Cheng Feng Yan Hai Helen Li Yiran Chen 113 0 0 26 Apr 2024
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Herilalaina Rakotoarison Steven Adriaensen Neeratyoy Mallik Samir Garibov Eddie Bergman Frank Hutter AI4CE 92 14 0 25 Apr 2024
Boosting Model Resilience via Implicit Adversarial Data Augmentation Xiaoling Zhou Wei Ye Zhemg Lee Rui Xie Shi-Bo Zhang 80 2 0 25 Apr 2024
CFMW: Cross-modality Fusion Mamba for Robust Object Detection under Adverse Weather Haoyuan Li Qi Hu You Yao You Yao Peng Chen Kailun Yang Peng Chen 73 6 0 25 Apr 2024
CNN2GNN: How to Bridge CNN with GNN Ziheng Jiao Hongyuan Zhang Xuelong Li 48 2 0 23 Apr 2024
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective Wencheng Zhu Xin Zhou Pengfei Zhu Yu Wang Qinghua Hu VLM 144 1 0 22 Apr 2024
Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective Yiming Liu Kezhao Liu Yao Xiao Ziyi Dong Xiaogang Xu Pengxu Wei Liang Lin DiffM 63 2 0 22 Apr 2024
Dynamic Temperature Knowledge Distillation Yukang Wei Yu Bai 89 5 0 19 Apr 2024
Gradient-Regularized Out-of-Distribution Detection Sina Sharifi Taha Entesari Bardia Safaei Vishal M. Patel Mahyar Fazlyab OODD 113 7 0 18 Apr 2024
Blind Localization and Clustering of Anomalies in Textures Andrei-Timotei Ardelean Tim Weyrich 91 3 0 18 Apr 2024
Dual-pronged deep learning preprocessing on heterogeneous platforms with CPU, GPU and CSD Jia Wei Xingjun Zhang Witold Pedrycz Longxiang Wang Jie Zhao 69 0 0 17 Apr 2024
Variational Bayesian Last Layers James Harrison John Willes Jasper Snoek BDL UQCV 149 34 0 17 Apr 2024
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification Qi Han Zhibo Tian Chengwei Xia Kun Zhan SSL 89 5 0 17 Apr 2024
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 86 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 104 6 0 16 Apr 2024
Do Counterfactual Examples Complicate Adversarial Training? Eric C. Yeats Cameron Darwin Eduardo Ortega Frank Liu Hai Li DiffM 133 0 0 16 Apr 2024
ReffAKD: Resource-efficient Autoencoder-based Knowledge Distillation Divyang Doshi Jung-Eun Kim 76 2 0 15 Apr 2024
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model Masahito Toba Seiichi Uchida Hideaki Hayashi 68 0 0 15 Apr 2024
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies Brian Bartoldson James Diffenderfer Konstantinos Parasyris B. Kailkhura AAML 134 19 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 79 3 0 14 Apr 2024
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization Runqi Lin Chaojian Yu Tongliang Liu AAML 113 12 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 89 3 0 11 Apr 2024
Evolving Loss Functions for Specific Image Augmentation Techniques Brandon Morgan Dean Frederick Hougen 117 0 0 09 Apr 2024
Unified Entropy Optimization for Open-Set Test-Time Adaptation Zhengqing Gao Xu-Yao Zhang Cheng-Lin Liu TTA 109 7 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 94 7 0 09 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 93 7 0 08 Apr 2024
Continual Learning with Weight Interpolation Jkedrzej Kozal Jan Wasilewski Bartosz Krawczyk Michal Wo'zniak CLL MoMe 88 7 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 75 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 75 3 0 02 Apr 2024