Consistent Polyhedral Surrogates for Top- $k$ Classification and Variants

18 July 2022

Papers citing "Consistent Polyhedral Surrogates for Top-$k$ Classification and Variants"

7 / 7 papers shown

Title
Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel-Young Losses Yuzhou Cao Han Bao Lei Feng Bo An 31 0 0 14 May 2025
Cardinality-Aware Set Prediction and Top- $k$ Classification Corinna Cortes Anqi Mao Christopher Mohri M. Mohri Yutao Zhong 38 7 0 09 Jul 2024
Top- $k$ Classification and Cardinality-Aware Prediction Anqi Mao M. Mohri Yutao Zhong 36 7 0 28 Mar 2024
Online Structured Prediction with Fenchel--Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss Shinsaku Sakaue Han Bao Taira Tsuchiya Taihei Oki 32 4 0 13 Feb 2024
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 31 279 0 14 Apr 2023
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates Jessie Finocchiaro Rafael Frongillo Bo Waggoner 22 14 0 29 Jun 2022
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 313 39,252 0 01 Sep 2014