Robust Learning with the Hilbert-Schmidt Independence Criterion

1 October 2019

Papers citing "Robust Learning with the Hilbert-Schmidt Independence Criterion"

10 / 10 papers shown

Title
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise T. Pouplin Alan Jeffares Nabeel Seedat Mihaela van der Schaar 58 3 0 05 Jun 2024
Domain Adaptation with Cauchy-Schwarz Divergence Wenzhe Yin Shujian Yu Yicong Lin Jie Li J. Sonke E. Gavves 29 3 0 30 May 2024
Learning to Project for Cross-Task Knowledge Distillation Dylan Auty Roy Miles Benedikt Kolbeinsson K. Mikolajczyk 40 0 0 21 Mar 2024
Triple Disentangled Representation Learning for Multimodal Affective Analysis Ying Zhou Xuefeng Liang Han Chen Yin Zhao Xin Chen Lida Yu 52 3 0 29 Jan 2024
Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study Luis P. Silvestrin Shujian Yu Mark Hoogendoorn OOD 36 1 0 17 Jul 2023
A statistical approach to detect sensitive features in a group fairness setting G. D. Pelegrina Miguel Couceiro L. Duarte 13 3 0 11 May 2023
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations Grégoire Mialon Randall Balestriero Yann LeCun 32 9 0 29 Sep 2022
Domain adaptation under structural causal models Yuansi Chen Peter Buhlmann CML OOD AI4CE 31 38 0 29 Oct 2020
Robust Classification under Class-Dependent Domain Shift T. Galstyan Hrant Khachatrian Greg Ver Steeg Aram Galstyan OOD 11 2 0 10 Jul 2020
A causal view of compositional zero-shot recognition Y. Atzmon Felix Kreuk Uri Shalit Gal Chechik OCL BDL CML 61 117 0 25 Jun 2020