ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2009.11138
  4. Cited By
Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer

Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer

23 September 2020
Sheng Zhang
Xin Zhang
Weiming Zhang
Anders Søgaard
    VLM
ArXivPDFHTML

Papers citing "Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer"

6 / 6 papers shown
Title
Challenges and Strategies in Cross-Cultural NLP
Challenges and Strategies in Cross-Cultural NLP
Daniel Hershcovich
Stella Frank
Heather Lent
Miryam de Lhoneux
Mostafa Abdou
...
Ruixiang Cui
Constanza Fierro
Katerina Margatina
Phillip Rust
Anders Søgaard
48
163
0
18 Mar 2022
Curriculum Meta-Learning for Few-shot Classification
Curriculum Meta-Learning for Few-shot Classification
Emmanouil Stergiadis
Priyanka Agrawal
Oliver Squire
VLM
25
5
0
06 Dec 2021
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages
Edoardo Ponti
Rahul Aralikatte
Disha Shrivastava
Siva Reddy
Anders Søgaard
44
16
0
02 Jun 2021
Deep Domain-Adversarial Image Generation for Domain Generalisation
Deep Domain-Adversarial Image Generation for Domain Generalisation
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
235
406
0
12 Mar 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning
TaskNorm: Rethinking Batch Normalization for Meta-Learning
J. Bronskill
Jonathan Gordon
James Requeima
Sebastian Nowozin
Richard Turner
71
89
0
06 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
304
7,005
0
20 Apr 2018
1