Loss Functions for Top-k Error: Analysis and Insights

1 December 2015

Matthias Hein

Bernt Schiele

Papers citing "Loss Functions for Top-k Error: Analysis and Insights"

25 / 25 papers shown

Title
LapSum -- One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection Łukasz Struski Michał B. Bednarczyk Igor T. Podolak Jacek Tabor BDL 62 0 0 08 Mar 2025
Top- $k$ Classification and Cardinality-Aware Prediction Anqi Mao M. Mohri Yutao Zhong 36 7 0 28 Mar 2024
List Sample Compression and Uniform Convergence Steve Hanneke Shay Moran Tom Waknine 38 6 0 16 Mar 2024
Smooth and Stepwise Self-Distillation for Object Detection Jieren Deng Xiaoxia Zhou Hao Tian Zhihong Pan Derek Aguiar ObjD 34 0 0 09 Mar 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective Michael E. Sander J. Puigcerver Josip Djolonga Gabriel Peyré Mathieu Blondel 21 19 0 02 Feb 2023
Large Batch and Patch Size Training for Medical Image Segmentation Junya Sato Shoji Kido 19 2 0 24 Oct 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 40 32 0 18 Jul 2022
Differentiable Top-k Classification Learning Felix Petersen Hilde Kuehne Christian Borgelt Oliver Deussen 61 28 0 15 Jun 2022
The Tree Loss: Improving Generalization with Many Classes Yujie Wang Michael Izbicki 19 1 0 16 Apr 2022
Set-valued prediction in hierarchical classification with constrained representation complexity Thomas Mortier Eyke Hüllermeier Krzysztof Dembczyñski Willem Waegeman 26 3 0 13 Mar 2022
A Stochastic Bundle Method for Interpolating Networks Alasdair Paren Leonard Berrada Rudra P. K. Poudel M. P. Kumar 24 4 0 29 Jan 2022
Mixing between the Cross Entropy and the Expectation Loss Terms Barak Battash Lior Wolf Tamir Hazan UQCV 20 0 0 12 Sep 2021
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification Gabriel Bénédict Vincent Koops Daan Odijk Maarten de Rijke 37 30 0 24 Aug 2021
FEDS -- Filtered Edit Distance Surrogate Yash J. Patel Jirí Matas 89 5 0 08 Mar 2021
Learning with Differentiable Perturbed Optimizers Quentin Berthet Mathieu Blondel O. Teboul Marco Cuturi Jean-Philippe Vert Francis R. Bach 29 106 0 20 Feb 2020
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice J. Bertels Tom Eelbode Maxim Berman Dirk Vandermeulen F. Maes R. Bisschops Matthew Blaschko 21 253 0 05 Nov 2019
The Limited Multi-Label Projection Layer Brandon Amos V. Koltun J. Zico Kolter 27 36 0 20 Jun 2019
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks Maksym Andriushchenko Matthias Hein 25 61 0 08 Jun 2019
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem Matthias Hein Maksym Andriushchenko Julian Bitterwolf OODD 55 553 0 13 Dec 2018
Top-K Off-Policy Correction for a REINFORCE Recommender System Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H. Chi CML OffRL 31 474 0 06 Dec 2018
Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images Hojjat Salehinejad S. Naqvi E. Colak Joseph Barfett S. Valaee 3DPC MedIm 11 8 0 24 Sep 2018
Learning with Average Top-k Loss Yanbo Fan Siwei Lyu Yiming Ying Bao-Gang Hu DML 21 101 0 24 May 2017
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images Rakshith Shetty Bernt Schiele Mario Fritz 35 223 0 30 Mar 2017
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification Maksim Lapin Matthias Hein Bernt Schiele 38 101 0 12 Dec 2016
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014