On Loss Functions for Deep Neural Networks in Classification

18 February 2017

Papers citing "On Loss Functions for Deep Neural Networks in Classification"

43 / 43 papers shown

Title
A RankNet-Inspired Surrogate-Assisted Hybrid Metaheuristic for Expensive Coverage Optimization Tongyu Wu Changhao Miao Yuntian Zhang Chen Chen Chen Chen 38 0 0 13 Jan 2025
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning Liangzu Peng Juan Elenter Joshua Agterberg Alejandro Ribeiro René Vidal VLM CLL 48 1 0 01 Oct 2024
Artificial Neural Networks to Recognize Speakers Division from Continuous Bengali Speech Hasmot Ali M. F. Hossain Md. Mehedi Hasan Sheikh Abujar S. R. H. Noori 13 1 0 18 Apr 2024
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification Hyenkyun Woo 20 0 0 26 Dec 2023
OWAdapt: An adaptive loss function for deep learning using OWA operators Sebastián Maldonado Carla Vairetti Katherine Jara Miguel Carrasco Julio López 19 10 0 30 May 2023
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics Francesco Marchetti Sabrina Guastavino C. Campi F. Benvenuto Michele Piana 21 1 0 22 May 2023
General Loss Functions Lead to (Approximate) Interpolation in High Dimensions Kuo-Wei Lai Vidya Muthukumar 34 5 0 13 Mar 2023
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang Qitian Wu Jiahua Wang Junchi Yan AI4CE 24 51 0 18 Dec 2022
The Fisher-Rao Loss for Learning under Label Noise Henrique K. Miyamoto Fábio C. C. Meneghetti Sueli I. R. Costa NoLa 23 5 0 28 Oct 2022
Evaluating the Impact of Loss Function Variation in Deep Learning for Classification Simon Dräger Jannik Dunkelau 30 2 0 28 Oct 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 44 85 0 18 Oct 2022
Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children Henok Ghebrechristos Stence Nicholas D. Mirsky G. Alaghband Manh Huynh Zackary Kromer Ligia Batista Brent ONeill S. Moulton D. Lindberg MedIm 13 1 0 06 Oct 2022
Are All Losses Created Equal: A Neural Collapse Perspective Jinxin Zhou Chong You Xiao Li Kangning Liu Sheng Liu Qing Qu Zhihui Zhu 41 60 0 04 Oct 2022
Neural Collapse: A Review on Modelling Principles and Generalization Vignesh Kothapalli 30 74 0 08 Jun 2022
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification George-Eduard Zaharia Razvan-Alexandru Smadu Dumitru-Clementin Cercel M. Dascalu 32 3 0 15 May 2022
Towards Reliable and Explainable AI Model for Solid Pulmonary Nodule Diagnosis Chenglong Wang Yun-Hui Liu Feng-Liang Wang Chengxiu Zhang Yida Wang Mei Yuan Guangze Yang 20 4 0 08 Apr 2022
Meta Ordinal Regression Forest for Medical Image Classification with Ordinal Labels Yiming Lei Haiping Zhu Junping Zhang Hongming Shan 35 21 0 15 Mar 2022
Food Recipe Recommendation Based on Ingredients Detection Using Deep Learning Md. Shafaat Jamil Rokon Md. Kishor Morol Ishra Binte Hasan A. Saif Rafid Hussain Khan 21 21 0 13 Mar 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift Gholamali Aminian Mahed Abroshan Mohammad Mahdi Khalili Laura Toni M. Rodrigues OOD 33 27 0 24 Feb 2022
Universal Spam Detection using Transfer Learning of BERT Model Vijay Srinivas Tida Sonya Hsu 28 47 0 07 Feb 2022
Mixing between the Cross Entropy and the Expectation Loss Terms Barak Battash Lior Wolf Tamir Hazan UQCV 20 0 0 12 Sep 2021
Neural ODE to model and prognose thermoacoustic instability Jayesh M. Dhadphale Vishnu R Unni A. Saha R. Sujith 22 13 0 24 Jun 2021
A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate Hongwei Guo X. Zhuang Timon Rabczuk AI4CE 27 433 0 04 Feb 2021
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings Elliot Meyerson Risto Miikkulainen 23 12 0 05 Oct 2020
Frequency Domain-based Perceptual Loss for Super Resolution Shane D. V. Sims 29 8 0 23 Jul 2020
Adma: A Flexible Loss Function for Neural Networks A. Shrivastava 22 1 0 23 Jul 2020
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning Wenqi Wei Ling Liu Margaret Loper Ka-Ho Chow Mehmet Emre Gursoy Stacey Truex Yanzhao Wu FedML 26 147 0 22 Apr 2020
Template-based Question Answering using Recursive Neural Networks Ram G. Athreya S. Bansal Axel-Cyrille Ngonga-Ngomo Ricardo Usbeck 15 31 0 03 Apr 2020
Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping Jinshan Zeng Min Zhang Shao-Bo Lin 21 18 0 01 Apr 2020
Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data Charles H. Martin Tongsu Peng Peng Michael W. Mahoney 36 101 0 17 Feb 2020
Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics Rohit Jammula Vishnu Rajan Tejus S. Shankar MedIm 17 4 0 11 Feb 2020
Mean-Field and Kinetic Descriptions of Neural Differential Equations Michael Herty T. Trimborn G. Visconti 36 6 0 07 Jan 2020
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications Hyunseok Seo M. B. Khuzani V. Vasudevan Charles Huang Hongyi Ren Ruoxiu Xiao Xiao Jia Lei Xing VLM 24 218 0 06 Nov 2019
ReActNet: Temporal Localization of Repetitive Activities in Real-World Videos Giorgos Karvounas Iason Oikonomidis Antonis Argyros 4 10 0 14 Oct 2019
S-ConvNet: A Shallow Convolutional Neural Network Architecture for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface EMG Images M. Islam Daniel Massicotte F. Nougarou P. Massicotte Weiping Zhu 27 9 0 08 Jun 2019
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization Santiago Gonzalez Risto Miikkulainen 27 75 0 27 May 2019
An embarrassingly simple approach to neural multiple instance classification Amina Asif F. Minhas 19 14 0 06 May 2019
Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks Davood Karimi Septimiu E. Salcudean MedIm 37 393 0 22 Apr 2019
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation Junhao Wen Elina Thibeau-Sutre Mauricio Diaz-Melo J. Samper-González A. Routier Simona Bottani Didier Dormont S. Durrleman Ninon Burgos O. Colliot 36 507 0 16 Apr 2019
Understanding Ancient Coin Images Jessica Cooper Ognjen Arandjelovic 13 12 0 07 Mar 2019
Fast and Accurate Person Re-Identification with RMNet Evgeny Izutov 3DH 32 6 0 06 Dec 2018
Fast Single-Class Classification and the Principle of Logit Separation Gil Keren Sivan Sabato Björn Schuller 24 6 0 29 May 2017
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 186 1,186 0 30 Nov 2014