Smooth Loss Functions for Deep Top-k Classification

21 February 2018

Papers citing "Smooth Loss Functions for Deep Top-k Classification"

21 / 21 papers shown

Title
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification Weixi Zheng Aoling Huang. Jingping Yuan Jingping Yuan Haoyu Zhao Zhou Zhao Yongchao Xu Thierry Géraud CLL 60 0 0 08 Mar 2025
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
Applications of Entropy in Data Analysis and Machine Learning: A Review Salomé A. Sepúveda Fontaine José M. Amigó 60 2 0 04 Mar 2025
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence Shuya Feng Meisam Mohammady Hanbin Hong Shenao Yan Ashish Kundu Binghui Wang Yuan Hong FedML 52 3 0 20 Jul 2024
Learning to Rank for Maps at Airbnb Malay Haldar Hongwei Zhang Kedar Bellare Sherry Chen Soumyadip Banerjee ... Mustafa Abdool Huiji Gao Pavan Tapadia Liwei He Sanjeev Katariya 31 1 0 25 Jun 2024
Top- $k$ Classification and Cardinality-Aware Prediction Anqi Mao M. Mohri Yutao Zhong 38 7 0 28 Mar 2024
Smooth and Stepwise Self-Distillation for Object Detection Jieren Deng Xiaoxia Zhou Hao Tian Zhihong Pan Derek Aguiar ObjD 39 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 26 19 0 02 Feb 2023
Contrastive Classification and Representation Learning with Probabilistic Interpretation Rahaf Aljundi Yash J. Patel Milan Šulc Daniel Olmeda N. Chumerin SSL 31 5 0 07 Nov 2022
Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis Florian A. Hölzl Daniel Rueckert Georgios Kaissis FedML MedIm 42 1 0 09 Sep 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 63 28 0 15 Jun 2022
Unified Recurrence Modeling for Video Action Anticipation Tsung-Ming Tai G. Fiameni Cheng-Kuang Lee Simon See Oswald Lanz 26 8 0 02 Jun 2022
Self-Regulated Learning for Egocentric Video Activity Anticipation Zhaobo Qi Shuhui Wang Chi Su Li Su Qingming Huang Q. Tian EgoV 47 52 0 23 Nov 2021
Higher Order Recurrent Space-Time Transformer for Video Action Prediction Tsung-Ming Tai G. Fiameni Cheng-Kuang Lee Oswald Lanz 41 9 0 17 Apr 2021
Classification of Large-Scale High-Resolution SAR Images with Deep Transfer Learning Zhongling Huang C. Dumitru Zongxu Pan Bin Lei Mihai Datcu 20 86 0 06 Jan 2020
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding Ming Y. Lu Richard J. Chen Jingwen Wang Debora Dillon Faisal Mahmood SSL 30 94 0 23 Oct 2019
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty Serim Ryou Seong-Gyun Jeong Pietro Perona 19 43 0 24 Sep 2019
The Limited Multi-Label Projection Layer Brandon Amos V. Koltun J. Zico Kolter 29 36 0 20 Jun 2019
IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters Xinshao Wang Yang Hua Elyor Kodirov David Clifton N. Robertson NoLa 24 62 0 28 Mar 2019
Deep Frank-Wolfe For Neural Network Optimization Leonard Berrada Andrew Zisserman M. P. Kumar ODL 21 40 0 19 Nov 2018