Generalization in multitask deep neural classifiers: a statistical physics approach

30 October 2019

Papers citing "Generalization in multitask deep neural classifiers: a statistical physics approach"

6 / 6 papers shown

Title
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning Naoki Hiratani CLL 35 2 0 30 May 2024
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 16 42 0 25 May 2021
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 48 609 0 10 Sep 2020
Machine learning for complete intersection Calabi-Yau manifolds: a methodological study Harold Erbin Riccardo Finotello 21 31 0 30 Jul 2020
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data Matthew B. A. McDermott Bret A. Nestor Evan Kim Wancong Zhang Anna Goldenberg Peter Szolovits Marzyeh Ghassemi Csail AI4TS 19 15 0 20 Jul 2020
A Close Look at Deep Learning with Small Data Lorenzo Brigato Luca Iocchi 24 139 0 28 Mar 2020