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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
Non-Uniform Parameter-Wise Model Merging Albert Manuel Orozco Camacho Stefan Horoi Guy Wolf Eugene Belilovsky MoMe FedML 140 0 0 20 Dec 2024
Dataset Augmentation by Mixing Visual Concepts Abdullah Al Rahat Hemanth Venkateswara DiffM 116 0 0 19 Dec 2024
AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization Wei Luo Haiming Yao Wenyong Yu Zhengyong Li 170 16 0 16 Dec 2024
Neural Collapse Inspired Knowledge Distillation Shuoxi Zhang Zijian Song Kun He 179 1 0 16 Dec 2024
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection Yutian Lei Luping Ji Pei Liu OODD 124 0 0 16 Dec 2024
Relation-Guided Adversarial Learning for Data-free Knowledge Transfer Yingping Liang Ying Fu 105 1 0 16 Dec 2024
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning Pengfei Fang Yongchun Qin H. Xue CLL 125 0 0 15 Dec 2024
PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks Jin Li Zitong Yu Ziqiang He Zhong Wang Xiangui Kang AAML 169 0 0 15 Dec 2024
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling Jinzong Dong Zhaohui Jiang Dong Pan Haoyang Yu 135 0 0 14 Dec 2024
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning Haorong Han Jidong Yuan Chixuan Wei Zhongyang Yu 512 1 0 14 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven Dilshod Azizov Muhammad Arslan Manzoor Velibor Bojkovic Yingxu Wang Ziyi Wang ... Liang Li Siwei Liu Yu Zhong Wei Liu Shangsong Liang OOD AI4TS MedIm 175 0 0 13 Dec 2024
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation Jiaming Lv Haoyuan Yang P. Li 162 2 0 11 Dec 2024
TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Mingxi Lei Chunwei Ma Meng Ding Yufan Zhou Ziyun Huang Jinhui Xu 149 0 0 10 Dec 2024
Towards Zero-shot 3D Anomaly Localization Yizhou Wang Kuan-Chuan Peng Y. Fu 151 3 0 05 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 188 0 0 29 Nov 2024
Random Sampling for Diffusion-based Adversarial Purification Jiancheng Zhang Peiran Dong Yongyong Chen Yin-Ping Zhao Song Guo DiffM 125 1 0 28 Nov 2024
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits Daniel Morales-Brotons Thijs Vogels Aymeric Dieuleveut 193 23 0 27 Nov 2024
Adversarial Training in Low-Label Regimes with Margin-Based Interpolation Tian Ye Rajgopal Kannan Viktor Prasanna AAML 91 0 0 27 Nov 2024
Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation Minh-Tuan Tran Trung Le Xuan-May Le Jianfei Cai Mehrtash Harandi Dinh Q. Phung 147 2 0 26 Nov 2024
Beyond adaptive gradient: Fast-Controlled Minibatch Algorithm for large-scale optimization Corrado Coppola Lorenzo Papa Irene Amerini L. Palagi ODL 127 0 0 24 Nov 2024
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Yong Xie Weijie Zheng Hanxun Huang Guangnan Ye Xingjun Ma AAML 170 1 0 20 Nov 2024
Decentralizing Test-time Adaptation under Heterogeneous Data Streams Zixian Su Jingwei Guo Xi Yang Qiufeng Wang K. Huang TTA 165 0 0 16 Nov 2024
Deep Learning for Micro-Scale Crack Detection on Imbalanced Datasets Using Key Point Localization Fatahlla Moreh Yusuf Hasan Bilal Zahid Hussain Mohammad Ammar Sven Tomforde 28 0 0 15 Nov 2024
Hysteresis Activation Function for Efficient Inference Moshe Kimhi Idan Kashani A. Mendelson Chaim Baskin LLMSV 122 0 0 15 Nov 2024
Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head Penghui Yang Chen-Chen Zong Sheng-Jun Huang Lei Feng Bo An 143 1 0 13 Nov 2024
The Inherent Adversarial Robustness of Analog In-Memory Computing Corey Lammie Julian Büchel A. Vasilopoulos Manuel Le Gallo Abu Sebastian AAML 122 2 0 11 Nov 2024
Filling in Missing FX Implied Volatilities with Uncertainties: Improving VAE-Based Volatility Imputation Achintya Gopal 39 0 0 08 Nov 2024
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 82 1 0 05 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training Junhao Dong Xinghua Qu Zhiyuan Wang Yew-Soon Ong AAML 91 1 0 05 Nov 2024
TDDBench: A Benchmark for Training data detection Zhihao Zhu Yi Yang Defu Lian 87 0 0 05 Nov 2024
Specialized Foundation Models Struggle to Beat Supervised Baselines Zongzhe Xu Ritvik Gupta Wenduo Cheng Alexander Shen Junhong Shen Ameet Talwalkar M. Khodak AI4CE 118 9 0 05 Nov 2024
Typicalness-Aware Learning for Failure Detection Yijun Liu Jiequan Cui Zhuotao Tian Senqiao Yang Qingdong He Xiaoling Wang Jingyong Su AAML 85 2 0 04 Nov 2024
Decoupling Dark Knowledge via Block-wise Logit Distillation for Feature-level Alignment Chengting Yu Fengzhao Zhang Ruizhe Chen Zuozhu Liu Shurun Tan Er-ping Li Aili Wang 94 2 0 03 Nov 2024
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection Jingyao Geng Yuan Zhang Jiaqi Huang Feng Xue Falong Tan Chuanlong Xie Shumei Zhang OODD 98 1 0 03 Nov 2024
Denoising Fisher Training For Neural Implicit Samplers Weijian Luo Wei Deng 78 0 0 03 Nov 2024
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Bram Adams Ahmed E. Hassan VLM 144 0 0 01 Nov 2024
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties Xiayan Ji Anton Xue Eric Wong O. Sokolsky Insup Lee 71 1 0 31 Oct 2024
TrAct: Making First-layer Pre-Activations Trainable Felix Petersen Christian Borgelt Stefano Ermon 68 0 0 31 Oct 2024
(FL) $^2$ : Overcoming Few Labels in Federated Semi-Supervised Learning Seungjoo Lee Thanh-Long V. Le Jaemin Shin Sung-Ju Lee FedML 112 2 0 30 Oct 2024
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier Pin-Yen Huang Szu-Wei Fu Yu Tsao 72 1 0 29 Oct 2024
Where Do Large Learning Rates Lead Us? Ildus Sadrtdinov M. Kodryan Eduard Pokonechny E. Lobacheva Dmitry Vetrov AI4CE 104 1 0 29 Oct 2024
On filter design in deep convolutional neural network Gaurav Hirani Waleed Abdulla 94 1 0 29 Oct 2024
Mitigating Gradient Overlap in Deep Residual Networks with Gradient Normalization for Improved Non-Convex Optimization Juyoung Yun 42 3 0 28 Oct 2024
FusedInf: Efficient Swapping of DNN Models for On-Demand Serverless Inference Services on the Edge Sifat Ut Taki Arthi Padmanabhan Spyridon Mastorakis 42 0 0 28 Oct 2024
Improving Generalization in Visual Reasoning via Self-Ensemble Tien-Huy Nguyen Quang-Khai Tran Anh-Tuan Quang-Hoang VLM LRM 126 6 0 28 Oct 2024
Plastic Learning with Deep Fourier Features Alex Lewandowski Dale Schuurmans Marlos C. Machado CLL 102 3 0 27 Oct 2024
ResAD: A Simple Framework for Class Generalizable Anomaly Detection Xincheng Yao Zhongfu Chen Chao Gao Guangtao Zhai Chongyang Zhang 72 3 0 26 Oct 2024
Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques David Ortiz-Perez Manuel Benavent-Lledo José García Rodríguez David Tomás M. Flores Vizcaya-Moreno 69 1 0 24 Oct 2024
Multi-Class Abnormality Classification in Video Capsule Endoscopy Using Deep Learning Arnav Samal Ranya ViT MedIm 64 2 0 24 Oct 2024
WARP-LCA: Efficient Convolutional Sparse Coding with Locally Competitive Algorithm Geoffrey Kasenbacher Felix Ehret Gerrit Ecke Sebastian Otte 181 1 0 24 Oct 2024