To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning

16 April 2021

Papers citing "To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning"

8 / 8 papers shown

Title
Statistical Deficiency for Task Inclusion Estimation Loïc Fosse Frédéric Béchet Benoit Favre Géraldine Damnati Gwénolé Lecorvé Maxime Darrin Philippe Formont Pablo Piantanida 222 0 0 07 Mar 2025
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training Mingyang Wang Heike Adel Lukas Lange Jannik Strötgen Hinrich Schütze 38 3 0 23 Oct 2023
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers Chia-Chien Hung Lukas Lange Jannik Strötgen 30 9 0 22 May 2023
Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios Zhuohao Chen Nikolaos Flemotomos Zac E. Imel David C. Atkins Shrikanth Narayanan 23 4 0 25 Oct 2022
Unsupervised Cross-Task Generalization via Retrieval Augmentation Bill Yuchen Lin Kangmin Tan Chris Miller Beiwen Tian Xiang Ren LRM RALM 32 48 0 17 Apr 2022
Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting Lukas Lange Heike Adel Jannik Strötgen 21 5 0 17 Sep 2021
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios Michael A. Hedderich Lukas Lange Heike Adel Jannik Strötgen Dietrich Klakow 221 287 0 23 Oct 2020
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 317 31,297 0 16 Jan 2013