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FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input
  Representations

FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations

23 October 2020
Lukas Lange
Heike Adel
Jannik Strötgen
Dietrich Klakow
ArXivPDFHTML

Papers citing "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"

4 / 4 papers shown
Title
GradSim: Gradient-Based Language Grouping for Effective Multilingual
  Training
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training
Mingyang Wang
Heike Adel
Lukas Lange
Jannik Strötgen
Hinrich Schütze
25
3
0
23 Oct 2023
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers
Chia-Chien Hung
Lukas Lange
Jannik Strötgen
30
9
0
22 May 2023
A Survey on Recent Approaches for Natural Language Processing in
  Low-Resource Scenarios
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Michael A. Hedderich
Lukas Lange
Heike Adel
Jannik Strötgen
Dietrich Klakow
199
286
0
23 Oct 2020
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
1