Generative multitask learning mitigates target-causing confounding

8 February 2022

Papers citing "Generative multitask learning mitigates target-causing confounding"

5 / 5 papers shown

Title
Multitask Learning Can Improve Worst-Group Outcomes Atharva Kulkarni Lucio Dery Amrith Rajagopal Setlur Aditi Raghunathan Ameet Talwalkar Graham Neubig 32 1 0 05 Dec 2023
Estimating treatment effects from single-arm trials via latent-variable modeling Manuel Haussmann Tran Minh Son Le Viivi Halla-aho Samu Kurki Jussi Leinonen Miika Koskinen Samuel Kaski Harri Lähdesmäki CML 21 0 0 06 Nov 2023
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations Qingyao Sun Kevin Murphy S. Ebrahimi Alexander DÁmour OOD VLM 22 9 0 28 Nov 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 314 4,203 0 23 Aug 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,950 0 20 Apr 2018