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Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP

Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP

2 November 2021
Trapit Bansal
K. Gunasekaran
Tong Wang
Tsendsuren Munkhdalai
Andrew McCallum
    SSL
    OOD
ArXivPDFHTML

Papers citing "Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP"

6 / 6 papers shown
Title
Continued Pretraining for Better Zero- and Few-Shot Promptability
Continued Pretraining for Better Zero- and Few-Shot Promptability
Zhaofeng Wu
IV RobertL.Logan
Pete Walsh
Akshita Bhagia
Dirk Groeneveld
Sameer Singh
Iz Beltagy
VLM
31
12
0
19 Oct 2022
MCP: Self-supervised Pre-training for Personalized Chatbots with
  Multi-level Contrastive Sampling
MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling
Zhaoheng Huang
Zhicheng Dou
Yutao Zhu
Zhengyi Ma
34
8
0
17 Oct 2022
How Can We Accelerate Progress Towards Human-like Linguistic
  Generalization?
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
Tal Linzen
220
188
0
03 May 2020
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Tianyu Gao
Xu Han
Hao Zhu
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
205
244
0
16 Oct 2019
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
297
6,956
0
20 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
314
11,681
0
09 Mar 2017
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