Smooth Loss Functions for Deep Top-k Classification

21 February 2018

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

50 / 57 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 88 0 0 08 Mar 2025
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 111 0 0 08 Mar 2025
Applications of Entropy in Data Analysis and Machine Learning: A Review Salomé A. Sepúveda Fontaine José M. Amigó 110 4 0 04 Mar 2025
UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models Huawei Lin Yingjie Lao Tong Geng Tan Yu Weijie Zhao AAML SILM 134 3 0 18 Feb 2025
Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics Yenho Chen Noga Mudrik Kyle A. Johnsen Sankaraleengam (Sankar) Alagapan Adam S. Charles Christopher Rozell 72 3 0 29 Aug 2024
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 92 3 0 20 Jul 2024
Cardinality-Aware Set Prediction and Top- $k$ Classification Corinna Cortes Anqi Mao Christopher Mohri M. Mohri Yutao Zhong 60 7 0 09 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 53 1 0 25 Jun 2024
Top- $k$ Classification and Cardinality-Aware Prediction Anqi Mao M. Mohri Yutao Zhong 61 7 0 28 Mar 2024
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization James Kotary Jacob K Christopher M. H. Dinh Ferdinando Fioretto 45 0 0 28 Dec 2023
Locally Differentially Private Gradient Tracking for Distributed Online Learning over Directed Graphs Ziqin Chen Yongqiang Wang FedML 34 4 0 24 Oct 2023
Dual-Encoders for Extreme Multi-Label Classification Nilesh Gupta Devvrit Khatri A. S. Rawat Srinadh Bhojanapalli Prateek Jain Inderjit Dhillon VLM 77 3 0 16 Oct 2023
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions Jungtaek Kim Jeongbeen Yoon Minsu Cho 53 2 0 11 Oct 2023
OOD Aware Supervised Contrastive Learning Soroush Seifi Daniel Olmeda Reino N. Chumerin Rahaf Aljundi OODD 118 2 0 03 Oct 2023
Kidney abnormality segmentation in thorax-abdomen CT scans Gabriel Efrain Humpire Mamani Nikolas Lessmann E. Scholten Mathias Prokop Colin Jacobs Bram van Ginneken 58 1 0 06 Sep 2023
When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top- $k$ Multi-Label Learning Yuchen Sun Qianqian Xu Zitai Wang Qingming Huang AAML 103 1 0 27 Jul 2023
VS-TransGRU: A Novel Transformer-GRU-based Framework Enhanced by Visual-Semantic Fusion for Egocentric Action Anticipation Congqi Cao Ze Sun Qinyi Lv Lingtong Min Yanning Zhang ViT 35 3 0 08 Jul 2023
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View Peizheng Li Shuxiao Ding Xieyuanli Chen Niklas Hanselmann Marius Cordts Juergen Gall 112 21 0 19 Jun 2023
A two-head loss function for deep Average-K classification Camille Garcin Maximilien Servajean Alexis Joly Joseph Salmon 52 0 0 31 Mar 2023
Smooth and Stepwise Self-Distillation for Object Detection Jieren Deng Xiaoxia Zhou Hao Tian Zhihong Pan Derek Aguiar ObjD 66 0 0 09 Mar 2023
Slim U-Net: Efficient Anatomical Feature Preserving U-net Architecture for Ultrasound Image Segmentation Deepak Raina Kashish Verma S. Chandrashekhara S. K. Saha SSeg 37 4 0 22 Feb 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective Michael E. Sander J. Puigcerver Josip Djolonga Gabriel Peyré Mathieu Blondel 106 22 0 02 Feb 2023
Backpropagation of Unrolled Solvers with Folded Optimization James Kotary M. H. Dinh Ferdinando Fioretto 96 15 0 28 Jan 2023
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification Conghao Xiong Hao Chen Joseph J. Y. Sung Irwin King MedIm 88 38 0 19 Jan 2023
Provable Robust Saliency-based Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie AAML FAtt 81 1 0 28 Dec 2022
Contrastive Classification and Representation Learning with Probabilistic Interpretation Rahaf Aljundi Yash J. Patel Milan Šulc Daniel Olmeda N. Chumerin SSL 50 7 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 108 1 0 09 Sep 2022
Optimizing Partial Area Under the Top-k Curve: Theory and Practice Zitai Wang Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 65 7 0 03 Sep 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 79 32 0 18 Jul 2022
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates Jessie Finocchiaro Rafael Frongillo Bo Waggoner 103 14 0 29 Jun 2022
Differentiable Top-k Classification Learning Felix Petersen Hilde Kuehne Christian Borgelt Oliver Deussen 119 32 0 15 Jun 2022
Unified Recurrence Modeling for Video Action Anticipation Tsung-Ming Tai G. Fiameni Cheng-Kuang Lee Simon See Oswald Lanz 63 8 0 02 Jun 2022
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification Camille Garcin Maximilien Servajean Alexis Joly Joseph Salmon 52 10 0 04 Feb 2022
Classification Under Ambiguity: When Is Average-K Better Than Top-K? Titouan Lorieul Alexis Joly Dennis Shasha 57 1 0 16 Dec 2021
Self-Regulated Learning for Egocentric Video Activity Anticipation Zhaobo Qi Shuhui Wang Chi Su Li Su Qingming Huang Q. Tian EgoV 115 52 0 23 Nov 2021
Relaxing Local Robustness Klas Leino Matt Fredrikson AAML 52 8 0 11 Jun 2021
Higher Order Recurrent Space-Time Transformer for Video Action Prediction Tsung-Ming Tai G. Fiameni Cheng-Kuang Lee Oswald Lanz 57 9 0 17 Apr 2021
Set-valued classification -- overview via a unified framework Evgenii Chzhen Christophe Denis Mohamed Hebiri Titouan Lorieul 163 34 0 24 Feb 2021
Trade-offs in Top-k Classification Accuracies on Losses for Deep Learning Azusa Sawada Eiji Kaneko K. Sagi 18 5 0 30 Jul 2020
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization Hedda Cohen Indelman Tamir Hazan 48 8 0 11 Jul 2020
Learning Surrogates via Deep Embedding Yash J. Patel Tomás Hodan Jirí Matas 62 15 0 01 Jul 2020
Geometry-Inspired Top-k Adversarial Perturbations Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets AAML 83 10 0 28 Jun 2020
The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized Soft-Min Penalty Tal Amir Ronen Basri B. Nadler 21 14 0 18 May 2020
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images Ming Y. Lu Drew F. K. Williamson Tiffany Y. Chen Richard J. Chen Matteo Barbieri Faisal Mahmood 135 1,333 0 20 Apr 2020
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples Samarth Sinha Zhengli Zhao Anirudh Goyal Colin Raffel Augustus Odena 77 7 0 14 Feb 2020
Classification of Large-Scale High-Resolution SAR Images with Deep Transfer Learning Zhongling Huang C. Dumitru Zongxu Pan Bin Lei Mihai Datcu 65 88 0 06 Jan 2020
Computational Ceramicology Barak Itkin Lior Wolf Nachum Dershowitz 36 9 0 22 Nov 2019
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 103 99 0 23 Oct 2019
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty Serim Ryou Seong-Gyun Jeong Pietro Perona 73 44 0 24 Sep 2019
AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations Honglie Chen Weidi Xie Andrea Vedaldi Andrew Zisserman 60 14 0 14 Aug 2019