EXACT: How to Train Your Accuracy

19 May 2022

Papers citing "EXACT: How to Train Your Accuracy"

12 / 12 papers shown

Title
Recall@k Surrogate Loss with Large Batches and Similarity Mixup Yash J. Patel Giorgos Tolias Jirí Matas VLM 61 56 0 25 Aug 2021
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification Gabriel Bénédict Vincent Koops Daan Odijk Maarten de Rijke 64 31 0 24 Aug 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks Jungmin Kwon Jeongseop Kim Hyunseong Park I. Choi 86 289 0 23 Feb 2021
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification Zhuoning Yuan Yan Yan Milan Sonka Tianbao Yang AI4TS MedIm OOD 61 120 0 06 Dec 2020
An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition Sanghyeon An Min Jun Lee Sanglee Park H. Yang Jungmin So 46 79 0 12 Aug 2020
Calibrated Surrogate Losses for Adversarially Robust Classification Han Bao Clayton Scott Masashi Sugiyama 69 46 0 28 May 2020
TabNet: Attentive Interpretable Tabular Learning Sercan O. Arik Tomas Pfister LMTD 163 1,345 0 20 Aug 2019
Learning Surrogate Losses Josif Grabocka Randolf Scholz Lars Schmidt-Thieme 54 42 0 24 May 2019
Probabilistic Face Embeddings Yichun Shi Anil K. Jain CVBM 60 310 0 21 Apr 2019
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 102 3,033 0 19 Oct 2017
Wide Residual Networks Sergey Zagoruyko N. Komodakis 326 7,980 0 23 May 2016
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 433 16,944 0 20 Dec 2013