Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,117 papers shown

Title
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 77 2 0 28 May 2024
Supervised Batch Normalization Bilal Faye M. Lebbah Hanane Azzag 28 1 0 27 May 2024
From Obstacle to Opportunity: Enhancing Semi-supervised Learning with Synthetic Data Zerun Wang Jiafeng Mao Liuyu Xiang Toshihiko Yamasaki 43 0 0 27 May 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Nils Philipp Walter Linara Adilova Jilles Vreeken Michael Kamp AAML 51 2 0 27 May 2024
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency Runqi Lin Chaojian Yu Bo Han Hang Su Tongliang Liu AAML 45 3 0 25 May 2024
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch Qikai Wang Rundong He Yongshun Gong Chunxiao Ren Hao Sun Xiaoshui Huang Yilong Yin 36 0 0 25 May 2024
Robust width: A lightweight and certifiable adversarial defense Jonathan Peck Bart Goossens AAML 45 1 0 24 May 2024
ETTrack: Enhanced Temporal Motion Predictor for Multi-Object Tracking Xudong Han Nobuyuki Oishi Yueying Tian Elif Ucurum R. Young C. Chatwin Philip Birch 55 3 0 24 May 2024
The Road Less Scheduled Aaron Defazio Xingyu Yang Yang Harsh Mehta Konstantin Mishchenko Ahmed Khaled Ashok Cutkosky 35 47 0 24 May 2024
Controllable Continual Test-Time Adaptation Ziqi Shi Fan Lyu Ye Liu Fanhua Shang Fuyuan Hu Wei Feng Zhang Zhang Liang Wang TTA 68 3 0 23 May 2024
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning Meenatchi Sundaram Muthu Selva Annamalai Emiliano De Cristofaro 49 11 0 23 May 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Simon Damm M. Laszkiewicz Johannes Lederer Asja Fischer 59 4 0 23 May 2024
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks Mohit Prabhushankar Ghassan AlRegib UQCV 36 0 0 22 May 2024
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers Shayan Mohajer Hamidi Linfeng Ye AAML 34 1 0 22 May 2024
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification Tom Burgert Tim Siebert Kai Norman Clasen Begüm Demir Begüm Demir 54 1 0 22 May 2024
Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch Xin-Chun Li Wen-Shu Fan Bowen Tao Le Gan De-Chuan Zhan 37 2 0 21 May 2024
Training Data Attribution via Approximate Unrolled Differentiation Juhan Bae Wu Lin Jonathan Lorraine Roger C. Grosse TDI MU 61 12 0 20 May 2024
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning Kai Gan Tong Wei 53 11 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 37 1 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 37 3 0 18 May 2024
MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection Feng Wang Chengming Liu Lei Shi Haibo Pang 39 1 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 39 1 0 13 May 2024
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data Yang Yang Nan Jiang Yi Tian Xu De-Chuan Zhan 38 18 0 11 May 2024
KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation Approach Teerath Kumar Alessandra Mileo Malika Bendechache AAML 33 4 0 10 May 2024
Towards Accurate and Robust Architectures via Neural Architecture Search Yuwei Ou Yuqi Feng Yanan Sun AAML 26 1 0 09 May 2024
Supervised Anomaly Detection for Complex Industrial Images Aimira Baitieva David Hurych Victor Besnier Olivier Bernard 55 6 0 08 May 2024
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review Federico Nicolás Peccia Oliver Bringmann 41 0 0 06 May 2024
You Only Need Half: Boosting Data Augmentation by Using Partial Content Juntao Hu Yuan Wu 40 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 46 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 48 8 0 02 May 2024
Error-Driven Uncertainty Aware Training Pedro Mendes Paolo Romano David Garlan UQCV 31 0 0 02 May 2024
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks Mikkel Jordahn Pablo Olmos 39 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 29 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 44 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 42 3 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 51 4 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 33 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 44 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 47 11 0 25 Apr 2024
Boosting Model Resilience via Implicit Adversarial Data Augmentation Xiaoling Zhou Wei Ye Zhemg Lee Rui Xie Shi-Bo Zhang 44 2 0 25 Apr 2024
CFMW: Cross-modality Fusion Mamba for Multispectral Object Detection under Adverse Weather Conditions Haoyuan Li Qi Hu You Yao Kailun Yang Peng Chen 51 5 0 25 Apr 2024
CNN2GNN: How to Bridge CNN with GNN Ziheng Jiao Hongyuan Zhang Xuelong Li 26 2 0 23 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 36 2 0 22 Apr 2024
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective Wencheng Zhu Xin Zhou Pengfei Zhu Yu Wang Qinghua Hu VLM 69 1 0 22 Apr 2024
Dynamic Temperature Knowledge Distillation Yukang Wei Yu Bai 40 4 0 19 Apr 2024
Gradient-Regularized Out-of-Distribution Detection Sina Sharifi Taha Entesari Bardia Safaei Vishal M. Patel Mahyar Fazlyab OODD 41 5 0 18 Apr 2024
Blind Localization and Clustering of Anomalies in Textures Andrei-Timotei Ardelean Tim Weyrich 35 2 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 39 0 0 17 Apr 2024
Variational Bayesian Last Layers James Harrison John Willes Jasper Snoek BDL UQCV 63 25 0 17 Apr 2024
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification Qi Han Zhibo Tian Chengwei Xia Kun Zhan SSL 37 5 0 17 Apr 2024