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

21 September 2020

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

34 / 34 papers shown

Title
Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces Ruoqi Wang Haitao Wang Shaojie Guo Qiong Luo OOD 21 0 0 18 May 2025
Towards Robust Dialogue Breakdown Detection: Addressing Disruptors in Large Language Models with Self-Guided Reasoning Abdellah Ghassel Xianzhi Li Xiaodan Zhu 51 0 0 26 Apr 2025
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models Minki Kang Sung Ju Hwang Gibbeum Lee Jaewoong Cho KELM 43 0 0 01 Nov 2024
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 Charles OÑeill Y. Ting 丁 I. Ciucă Jack Miller Thang Bui SyDa 37 1 0 15 Aug 2023
Feature-aware conditional GAN for category text generation Xinze Li K. Mao Fanfan Lin Zijian Feng GAN 29 15 0 02 Aug 2023
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 39 73 0 07 Jun 2023
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 46 5 0 16 May 2023
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising Rishabh Gupta Venktesh V. Mukesh Mohania Vikram Goyal 13 1 0 06 Feb 2023
Sources of Noise in Dialogue and How to Deal with Them Derek Chen Zhou Yu 24 2 0 06 Dec 2022
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift Defu Cao Yousef El-Laham Loc Trinh Svitlana Vyetrenko Yong-Jin Liu 26 11 0 17 Nov 2022
Estimating Soft Labels for Out-of-Domain Intent Detection Hao Lang Yinhe Zheng Jian Sun Feiling Huang Luo Si Yongbin Li 40 15 0 10 Nov 2022
Impact of Adversarial Training on Robustness and Generalizability of Language Models Enes Altinisik Hassan Sajjad Husrev Taha Sencar Safa Messaoud Sanjay Chawla AAML 24 8 0 10 Nov 2022
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 34 4 0 28 Oct 2022
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 121 94 0 06 Oct 2022
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation Xu Guo Boyang Albert Li Han Yu VLM 39 22 0 06 Oct 2022
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 Le Zhang Zichao Yang Diyi Yang 36 24 0 12 May 2022
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 49 10 0 24 Apr 2022
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 17 24 0 14 Apr 2022
A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues Qian Lin Hwee Tou Ng 27 4 0 22 Feb 2022
ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text Classification Hazel Kim Daecheol Woo Seong Joon Oh Jeong-Won Cha Yo-Sub Han 323 33 0 16 Dec 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 130 271 0 05 Oct 2021
GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation Derek Chen Zhou Yu 27 31 0 07 Sep 2021
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 Nitish Joshi He He OODD 19 46 0 01 Jul 2021
SSMix: Saliency-Based Span Mixup for Text Classification Soyoung Yoon Gyuwan Kim Kyumin Park 22 68 0 15 Jun 2021
Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification Seonghyeon Lee Dongha Lee Hwanjo Yu 24 4 0 14 May 2021
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 39 799 0 07 May 2021
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation Kang Min Yoo Dongju Park Jaewook Kang Sang-Woo Lee Woomyeong Park 36 235 0 18 Apr 2021
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation Seanie Lee Dong Bok Lee Sung Ju Hwang 27 106 0 14 Dec 2020
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 216 348 0 04 Mar 2020
Classical Structured Prediction Losses for Sequence to Sequence Learning Sergey Edunov Myle Ott Michael Auli David Grangier MarcÁurelio Ranzato AIMat 56 185 0 14 Nov 2017
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,368 0 25 Aug 2014