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. 2009.10195
  4. Cited By
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving
  Out-of-Domain Robustness

SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness

21 September 2020
Nathan Ng
Kyunghyun Cho
Marzyeh Ghassemi
ArXivPDFHTML

Papers citing "SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness"

27 / 27 papers shown
Title
Towards Robust Dialogue Breakdown Detection: Addressing Disruptors in Large Language Models with Self-Guided Reasoning
Towards Robust Dialogue Breakdown Detection: Addressing Disruptors in Large Language Models with Self-Guided Reasoning
Abdellah Ghassel
Xianzhi Li
Xiaodan Zhu
49
0
0
26 Apr 2025
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection
  in Language Models
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models
Minki Kang
Sung Ju Hwang
Gibbeum Lee
Jaewoong Cho
KELM
34
0
0
01 Nov 2024
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
Seanie Lee
Haebin Seong
Dong Bok Lee
Minki Kang
Xiaoyin Chen
Dominik Wagner
Yoshua Bengio
Juho Lee
Sung Ju Hwang
67
2
0
02 Oct 2024
Steering Language Generation: Harnessing Contrastive Expert Guidance and
  Negative Prompting for Coherent and Diverse Synthetic Data Generation
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation
Charles OÑeill
Y. Ting 丁
I. Ciucă
Jack Miller
Thang Bui
SyDa
31
1
0
15 Aug 2023
Feature-aware conditional GAN for category text generation
Feature-aware conditional GAN for category text generation
Xinze Li
K. Mao
Fanfan Lin
Zijian Feng
GAN
21
15
0
02 Aug 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis,
  and LLMs Evaluations
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
Lifan Yuan
Yangyi Chen
Ganqu Cui
Hongcheng Gao
Fangyuan Zou
Xingyi Cheng
Heng Ji
Zhiyuan Liu
Maosong Sun
32
72
0
07 Jun 2023
Boosting Event Extraction with Denoised Structure-to-Text Augmentation
Boosting Event Extraction with Denoised Structure-to-Text Augmentation
Bo Wang
Heyan Huang
Xiaochi Wei
Ge Shi
Xiao Liu
Chong Feng
Tong Zhou
Shuai Wang
Dawei Yin
38
5
0
16 May 2023
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting
  Algorithms under Distributional Shift
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift
Defu Cao
Yousef El-Laham
Loc Trinh
Svitlana Vyetrenko
Y. Liu
26
11
0
17 Nov 2022
Estimating Soft Labels for Out-of-Domain Intent Detection
Estimating Soft Labels for Out-of-Domain Intent Detection
Hao Lang
Yinhe Zheng
Jian Sun
Feiling Huang
Luo Si
Yongbin Li
28
15
0
10 Nov 2022
Impact of Adversarial Training on Robustness and Generalizability of
  Language Models
Impact of Adversarial Training on Robustness and Generalizability of Language Models
Enes Altinisik
Hassan Sajjad
H. Sencar
Safa Messaoud
Sanjay Chawla
AAML
11
8
0
10 Nov 2022
RoChBert: Towards Robust BERT Fine-tuning for Chinese
RoChBert: Towards Robust BERT Fine-tuning for Chinese
Zihan Zhang
Jinfeng Li
Ning Shi
Bo Yuan
Xiangyu Liu
Rong Zhang
Hui Xue
Donghong Sun
Chao Zhang
AAML
24
4
0
28 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
114
93
0
06 Oct 2022
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for
  Robust Electrocardiogram Prediction
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction
Jiacheng Zhu
Jielin Qiu
Zhuolin Yang
Douglas Weber
M. Rosenberg
Emerson Liu
Bo-wen Li
Ding Zhao
OOD
28
13
0
02 Aug 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural
  Language Understanding
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding
Le Zhang
Zichao Yang
Diyi Yang
31
24
0
12 May 2022
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance
  Text Classification
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification
Minyi Zhao
Lu Zhang
Yi Xu
Jiandong Ding
Jihong Guan
Shuigeng Zhou
VLM
36
10
0
24 Apr 2022
Learning to Generalize to More: Continuous Semantic Augmentation for
  Neural Machine Translation
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation
Xiangpeng Wei
Heng Yu
Yue Hu
Rongxiang Weng
Weihua Luo
Jun Xie
Rong Jin
CLL
15
24
0
14 Apr 2022
A Semi-supervised Learning Approach with Two Teachers to Improve
  Breakdown Identification in Dialogues
A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
Qian Lin
Hwee Tou Ng
22
4
0
22 Feb 2022
Data Augmentation Approaches in Natural Language Processing: A Survey
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
124
270
0
05 Oct 2021
GOLD: Improving Out-of-Scope Detection in Dialogues using Data
  Augmentation
GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation
Derek Chen
Zhou Yu
19
31
0
07 Sep 2021
Self-training Improves Pre-training for Few-shot Learning in
  Task-oriented Dialog Systems
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems
Fei Mi
Wanhao Zhou
Feng Cai
Lingjing Kong
Minlie Huang
Boi Faltings
27
32
0
28 Aug 2021
An Investigation of the (In)effectiveness of Counterfactually Augmented
  Data
An Investigation of the (In)effectiveness of Counterfactually Augmented Data
Nitish Joshi
He He
OODD
19
46
0
01 Jul 2021
Out-of-Manifold Regularization in Contextual Embedding Space for Text
  Classification
Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification
Seonghyeon Lee
Dongha Lee
Hwanjo Yu
19
4
0
14 May 2021
A Survey of Data Augmentation Approaches for NLP
A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng
Varun Gangal
Jason W. Wei
Sarath Chandar
Soroush Vosoughi
Teruko Mitamura
Eduard H. Hovy
AIMat
37
799
0
07 May 2021
Contrastive Learning with Adversarial Perturbations for Conditional Text
  Generation
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
Seanie Lee
Dong Bok Lee
Sung Ju Hwang
13
106
0
14 Dec 2020
Data Augmentation using Pre-trained Transformer Models
Data Augmentation using Pre-trained Transformer Models
Varun Kumar
Ashutosh Choudhary
Eunah Cho
VLM
214
315
0
04 Mar 2020
Classical Structured Prediction Losses for Sequence to Sequence Learning
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
Myle Ott
Michael Auli
David Grangier
MarcÁurelio Ranzato
AIMat
48
185
0
14 Nov 2017
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
1