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. 1811.01088
  4. Cited By
Sentence Encoders on STILTs: Supplementary Training on Intermediate
  Labeled-data Tasks

Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks

2 November 2018
Jason Phang
Thibault Févry
Samuel R. Bowman
ArXivPDFHTML

Papers citing "Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks"

22 / 122 papers shown
Title
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
Jonas Pfeiffer
Aishwarya Kamath
Andreas Rucklé
Kyunghyun Cho
Iryna Gurevych
CLL
MoMe
47
819
0
01 May 2020
Pre-training Is (Almost) All You Need: An Application to Commonsense
  Reasoning
Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning
Alexandre Tamborrino
Nicola Pellicanò
B. Pannier
Pascal Voitot
Louise Naudin
LRM
22
62
0
29 Apr 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less
  Forgetting
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
Sanyuan Chen
Yutai Hou
Yiming Cui
Wanxiang Che
Ting Liu
Xiangzhan Yu
KELM
CLL
21
213
0
27 Apr 2020
Train No Evil: Selective Masking for Task-Guided Pre-Training
Train No Evil: Selective Masking for Task-Guided Pre-Training
Yuxian Gu
Zhengyan Zhang
Xiaozhi Wang
Zhiyuan Liu
Maosong Sun
32
59
0
21 Apr 2020
Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer
Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer
Siddhant Garg
Rohit Kumar Sharma
Yingyu Liang
36
4
0
10 Apr 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,452
0
18 Mar 2020
HUBERT Untangles BERT to Improve Transfer across NLP Tasks
HUBERT Untangles BERT to Improve Transfer across NLP Tasks
M. Moradshahi
Hamid Palangi
M. Lam
P. Smolensky
Jianfeng Gao
26
16
0
25 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
129
19,529
0
23 Oct 2019
MMM: Multi-stage Multi-task Learning for Multi-choice Reading
  Comprehension
MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension
Di Jin
Shuyang Gao
Jiun-Yu Kao
Tagyoung Chung
Dilek Z. Hakkani-Tür
29
69
0
01 Oct 2019
Mixout: Effective Regularization to Finetune Large-scale Pretrained
  Language Models
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
Cheolhyoung Lee
Kyunghyun Cho
Wanmo Kang
MoE
249
208
0
25 Sep 2019
Supervised Multimodal Bitransformers for Classifying Images and Text
Supervised Multimodal Bitransformers for Classifying Images and Text
Douwe Kiela
Suvrat Bhooshan
Hamed Firooz
Ethan Perez
Davide Testuggine
59
242
0
06 Sep 2019
Task Selection Policies for Multitask Learning
Task Selection Policies for Multitask Learning
John Glover
Chris Hokamp
OffRL
29
7
0
14 Jul 2019
BAM! Born-Again Multi-Task Networks for Natural Language Understanding
BAM! Born-Again Multi-Task Networks for Natural Language Understanding
Kevin Clark
Minh-Thang Luong
Urvashi Khandelwal
Christopher D. Manning
Quoc V. Le
24
228
0
10 Jul 2019
Transfer Learning for Risk Classification of Social Media Posts: Model
  Evaluation Study
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study
Derek Howard
M. Maslej
Justin Lee
Jacob Ritchie
G. Woollard
L. French
AI4MH
23
30
0
04 Jul 2019
MultiQA: An Empirical Investigation of Generalization and Transfer in
  Reading Comprehension
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension
Alon Talmor
Jonathan Berant
20
172
0
31 May 2019
Human vs. Muppet: A Conservative Estimate of Human Performance on the
  GLUE Benchmark
Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark
Nikita Nangia
Samuel R. Bowman
ELM
ALM
34
75
0
24 May 2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark
Kenton Lee
Ming-Wei Chang
Tom Kwiatkowski
Michael Collins
Kristina Toutanova
96
1,413
0
24 May 2019
Story Ending Prediction by Transferable BERT
Story Ending Prediction by Transferable BERT
Zhongyang Li
Xiao Ding
Ting Liu
34
52
0
17 May 2019
Multi-Task Deep Neural Networks for Natural Language Understanding
Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu
Pengcheng He
Weizhu Chen
Jianfeng Gao
AI4CE
24
1,261
0
31 Jan 2019
Linguistic Analysis of Pretrained Sentence Encoders with Acceptability
  Judgments
Linguistic Analysis of Pretrained Sentence Encoders with Acceptability Judgments
Alex Warstadt
Samuel R. Bowman
22
23
0
11 Jan 2019
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
883
0
03 May 2018
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
299
6,996
0
20 Apr 2018
Previous
123