Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification

12 December 2016

Matthias Hein

Bernt Schiele

Papers citing "Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification"

39 / 39 papers shown

Title
Why Ask One When You Can Ask $k$ ? Learning-to-Defer to the Top- $k$ Experts Yannis Montreuil Axel Carlier Lai Xing Ng Wei Tsang Ooi 369 0 0 17 Apr 2025
Cardinality-Aware Set Prediction and Top- $k$ Classification Corinna Cortes Anqi Mao Christopher Mohri M. Mohri Yutao Zhong 146 17 0 09 Jul 2024
Top- $k$ Classification and Cardinality-Aware Prediction Anqi Mao M. Mohri Yutao Zhong 158 8 0 28 Mar 2024
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to DeferNeural Information Processing Systems (NeurIPS), 2023 Yuzhou Cao Hussein Mozannar Lei Feng Jianguo Huang Bo An 230 24 0 02 Nov 2023
Provable Robust Saliency-based Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie AAML FAtt 373 1 0 28 Dec 2022
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty J. Bertels D. Robben Dirk Vandermeulen P. Suetens 100 22 0 08 Nov 2022
On the Informativeness of Supervision SignalsConference on Uncertainty in Artificial Intelligence (UAI), 2022 Ilia Sucholutsky Ruairidh M. Battleday Katherine M. Collins Raja Marjieh Joshua C. Peterson Pulkit Singh Umang Bhatt Nori Jacoby Adrian Weller Thomas Griffiths 176 15 0 02 Nov 2022
Optimizing Partial Area Under the Top-k Curve: Theory and PracticeIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Zitai Wang Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 177 9 0 03 Sep 2022
Consistent Polyhedral Surrogates for Top- $k$ Classification and VariantsInternational Conference on Machine Learning (ICML), 2022 Jessie Finocchiaro Rafael Frongillo Emma R Goodwill Anish Thilagar 156 15 0 18 Jul 2022
Rank-based Decomposable Losses in Machine Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Shu Hu Xin Wang Siwei Lyu 295 36 0 18 Jul 2022
An Embedding Framework for the Design and Analysis of Consistent Polyhedral SurrogatesJournal of machine learning research (JMLR), 2022 Jessie Finocchiaro Rafael Frongillo Bo Waggoner 190 14 0 29 Jun 2022
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classificationInternational Conference on Machine Learning (ICML), 2022 Camille Garcin Maximilien Servajean Alexis Joly Joseph Salmon 174 13 0 04 Feb 2022
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and AdaptivityInternational Conference on Machine Learning (ICML), 2021 Dixian Zhu Yiming Ying Tianbao Yang 284 15 0 30 Dec 2021
Classification Under Ambiguity: When Is Average-K Better Than Top-K? Titouan Lorieul Alexis Joly Dennis Shasha 256 2 0 16 Dec 2021
Unbiased Loss Functions for Multilabel Classification with Missing Labels Erik Schultheis Rohit Babbar 134 7 0 23 Sep 2021
Tensor Normalization and Full Distribution Training Wolfgang Fuhl OOD 174 5 0 06 Sep 2021
Implicit Rate-Constrained Optimization of Non-decomposable ObjectivesInternational Conference on Machine Learning (ICML), 2021 Abhishek Kumar Harikrishna Narasimhan Andrew Cotter 264 12 0 23 Jul 2021
Sum of Ranked Range Loss for Supervised LearningJournal of machine learning research (JMLR), 2021 Shu Hu Yiming Ying Xin Wang Siwei Lyu 194 23 0 07 Jun 2021
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services Yuan Wang Chenwei Wang Yinan Ling Keita Yokoyama Hsin-Tai Wu Yi Fang 110 3 0 06 Nov 2020
Knowledge-Guided Multi-Label Few-Shot Learning for General Image RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Tianshui Chen Liang Lin Riquan Chen X. Hui Hefeng Wu 216 184 0 20 Sep 2020
Trade-offs in Top-k Classification Accuracies on Losses for Deep Learning Azusa Sawada Eiji Kaneko K. Sagi 115 5 0 30 Jul 2020
Long-tail learning via logit adjustmentInternational Conference on Learning Representations (ICLR), 2020 A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 379 843 0 14 Jul 2020
Learning Optimal Tree Models Under Beam Search Jingwei Zhuo Xinhang Li Wei Dai Ziru Xu Han Li Jian Xu Kun Gai 209 65 0 27 Jun 2020
Weston-Watkins Hinge Loss and Ordered PartitionsNeural Information Processing Systems (NeurIPS), 2020 Yutong Wang Clayton D. Scott 80 13 0 12 Jun 2020
Why distillation helps: a statistical perspective A. Menon A. S. Rawat Sashank J. Reddi Seungyeon Kim Sanjiv Kumar FedML 220 25 0 21 May 2020
General Framework for Binary Classification on Top Samples Lukáš Adam V. Mácha Václav Smídl Tomás Pevný 164 6 0 25 Feb 2020
Towards Partial Supervision for Generic Object Counting in Natural ScenesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 Hisham Cholakkal Guolei Sun Salman Khan Fahad Shahbaz Khan Ling Shao Luc Van Gool 238 16 0 13 Dec 2019
Computational Ceramicology Barak Itkin Lior Wolf Nachum Dershowitz 140 9 0 22 Nov 2019
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal ImagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019 Fei Yu Jie Zhao Y. Gong Zhi Wang Yuxi Li Fan Yang Bin Dong Shijie Zhao Li Zhang GAN MedIm 144 34 0 26 Jul 2019
An Embedding Framework for Consistent Polyhedral SurrogatesNeural Information Processing Systems (NeurIPS), 2019 Jessie Finocchiaro Rafael Frongillo Bo Waggoner 201 31 0 17 Jul 2019
Where are the Masks: Instance Segmentation with Image-level SupervisionBritish Machine Vision Conference (BMVC), 2019 I. Laradji David Vazquez Mark Schmidt 137 60 0 02 Jul 2019
SeER: An Explainable Deep Learning MIDI-based Hybrid Song Recommender System Khalil Damak O. Nasraoui 187 6 0 25 Jun 2019
Provably Robust Boosted Decision Stumps and Trees against Adversarial AttacksNeural Information Processing Systems (NeurIPS), 2019 Maksym Andriushchenko Matthias Hein 187 66 0 08 Jun 2019
KarNet: An Efficient Boolean Function Simplifier S. S. Mondal Abhilash Nandy Ritesh Agrawal D. Sen 70 0 0 04 Jun 2019
Object Counting and Instance Segmentation with Image-level SupervisionComputer Vision and Pattern Recognition (CVPR), 2019 Hisham Cholakkal Guolei Sun Fahad Shahbaz Khan Ling Shao 207 131 0 06 Mar 2019
On the Consistency of Top-k Surrogate LossesInternational Conference on Machine Learning (ICML), 2019 Forest Yang Oluwasanmi Koyejo 141 50 0 30 Jan 2019
Smooth Loss Functions for Deep Top-k Classification Leonard Berrada Andrew Zisserman M. P. Kumar 142 127 0 21 Feb 2018
Breast density classification with deep convolutional neural networks Nan Wu Krzysztof J. Geras Yiqiu Shen Jingyi Su S. G. Kim Eric Kim Stacey Wolfson Linda Moy Dong Wang 124 76 0 10 Nov 2017
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs Emanuel Laude Jan-Hendrik Lange Jonas Schüpfer Csaba Domokos Laura Leal-Taixé Frank R. Schmidt Bjoern Andres Zorah Lähner 317 1 0 14 May 2017