v1v2 (latest)

Not Enough Data? Deep Learning to the Rescue!

AAAI Conference on Artificial Intelligence (AAAI), 2019

8 November 2019

Segev Shlomov

Papers citing "Not Enough Data? Deep Learning to the Rescue!"

50 / 169 papers shown

Title
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLPInternational Conference on Learning Representations (ICLR), 2022 Yufei Wang Jiayi Zheng Can Xu Xiubo Geng Tao Shen Chongyang Tao Daxin Jiang VLM MoE 148 3 0 21 Jun 2022
Natural Language Sentence Generation from API Specifications Siyu Huo K. Mukherjee Jayachandu Bandlamudi Vatche Isahagian Vinod Muthusamy Sadhana Kumaravel 150 3 0 01 Jun 2022
Revisiting DocRED -- Addressing the False Negative Problem in Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Qingyu Tan Lu Xu Lidong Bing Hwee Tou Ng Sharifah Mahani Aljunied 221 93 0 25 May 2022
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot LearningInternational Conference on Learning Representations (ICLR), 2022 Jiahui Gao Renjie Pi Yong Lin Hang Xu Jiacheng Ye Zhiyong Wu Weizhong Zhang Xiaodan Liang Zhenguo Li Lingpeng Kong SyDa VLM 247 57 0 25 May 2022
A Zipf's Law-based Text Generation Approach for Addressing Imbalance in Entity Extraction Zhenhua Wang Ming Ren Dong Gao Zhuang Li 323 18 0 25 May 2022
Leveraging QA Datasets to Improve Generative Data AugmentationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Dheeraj Mekala Tu Vu Timo Schick Jingbo Shang 218 19 0 25 May 2022
Improving Short Text Classification With Augmented Data Using GPT-3Natural Language Engineering (NLE), 2022 Salvador Balkus Donghui Yan 143 54 0 23 May 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language UnderstandingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Le Zhang Zichao Yang Diyi Yang 232 26 0 12 May 2022
AdMix: A Mixed Sample Data Augmentation Method for Neural Machine TranslationInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Chang-Hu Jin Shigui Qiu Nini Xiao Hao Jia 136 8 0 10 May 2022
Few-shot Mining of Naturally Occurring Inputs and Outputs Mandar Joshi Terra Blevins M. Lewis Daniel S. Weld Luke Zettlemoyer 227 1 0 09 May 2022
High-quality Conversational Systems Samuel Ackerman Ateret Anaby-Tavor E. Farchi Esther Goldbraich George Kour Ella Ravinovich Orna Raz Saritha Route Marcel Zalmanovici Naama Zwerdling AI4MH 214 0 0 27 Apr 2022
Reprint: a randomized extrapolation based on principal components for data augmentationSocial Science Research Network (SSRN), 2022 Jiale Wei Qiyuan Chen Pai Peng Benjamin Guedj Le Li 160 2 0 26 Apr 2022
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text ClassificationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Minyi Zhao Lu Zhang Yi Xu Jiandong Ding Jihong Guan Shuigeng Zhou VLM 143 13 0 24 Apr 2022
Retrieval Enhanced Data Augmentation for Question Answering on Privacy PoliciesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022 Md. Rizwan Parvez Jianfeng Chi Wasi Uddin Ahmad Yuan Tian Kai-Wei Chang RALM 146 14 0 19 Apr 2022
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment AnalysisInternational Conference on Computational Linguistics (COLING), 2022 Bing Wang Liang Ding Qihuang Zhong Ximing Li Dacheng Tao 160 40 0 16 Apr 2022
Data Augmentation for Biomedical Factoid Question AnsweringWorkshop on Biomedical Natural Language Processing (BioNLP), 2022 Dimitris Pappas Prodromos Malakasiotis Ion Androutsopoulos MedIm 129 14 0 10 Apr 2022
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models Gaurav Sahu Pau Rodríguez López I. Laradji Parmida Atighehchian David Vazquez Dzmitry Bahdanau 150 76 0 05 Apr 2022
Specialized Document Embeddings for Aspect-based Similarity of Research PapersACM/IEEE Joint Conference on Digital Libraries (JCDL), 2022 Malte Ostendorff Till Blume Terry Ruas Bela Gipp Georg Rehm 136 23 0 28 Mar 2022
Cluster & Tune: Boost Cold Start Performance in Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Eyal Shnarch Ariel Gera Alon Halfon Lena Dankin Leshem Choshen R. Aharonov Noam Slonim 158 25 0 20 Mar 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Zhuang Li Zhuang Li Xingliang Yuan Tongtong Wu Tianyang Zhan Gholamreza Haffari CoGe UD DRL 231 5 0 27 Feb 2022
A new data augmentation method for intent classification enhancement and its application on spoken conversation datasetsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Zvi Kons Aharon Satt H. Kuo Samuel Thomas Boaz Carmeli R. Hoory Brian Kingsbury 93 0 0 21 Feb 2022
ZeroGen: Efficient Zero-shot Learning via Dataset GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Jiacheng Ye Jiahui Gao Qintong Li Hang Xu Jiangtao Feng Zhiyong Wu Tao Yu Lingpeng Kong SyDa 269 263 0 16 Feb 2022
InPars: Data Augmentation for Information Retrieval using Large Language Models L. Bonifacio Hugo Queiroz Abonizio Marzieh Fadaee Rodrigo Nogueira VLM RALM 329 68 0 10 Feb 2022
Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingNeural Information Processing Systems (NeurIPS), 2022 Yu Meng Jiaxin Huang Yu Zhang Jiawei Han SyDa 165 266 0 09 Feb 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationInternational Conference on Machine Learning (ICML), 2022 Junnan Li Dongxu Li Caiming Xiong Guosheng Lin MLLM BDL VLM CLIP 1.2K 5,585 0 28 Jan 2022
Cyberbullying Classifiers are Sensitive to Model-Agnostic PerturbationsInternational Conference on Language Resources and Evaluation (LREC), 2022 Chris Emmery Ákos Kádár Grzegorz Chrupała Walter Daelemans 120 6 0 17 Jan 2022
Semantic-based Data Augmentation for Math Word ProblemsInternational Conference on Database Systems for Advanced Applications (DASFAA), 2022 Ai Li Jiaqing Liang Yanghua Xiao AAML 178 7 0 07 Jan 2022
LINDA: Unsupervised Learning to Interpolate in Natural Language Processing Yekyung Kim Seohyeong Jeong Dong Wang 178 8 0 28 Dec 2021
Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation George Kour Marcel Zalmanovici Orna Raz Samuel Ackerman Ateret Anaby-Tavor 122 2 0 22 Dec 2021
Contrastive Instruction-Trajectory Learning for Vision-Language Navigation Xiwen Liang Fengda Zhu Yi Zhu Bingqian Lin Bing Wang Xiaodan Liang 157 26 0 08 Dec 2021
True Few-Shot Learning with Prompts -- A Real-World PerspectiveTransactions of the Association for Computational Linguistics (TACL), 2021 Timo Schick Hinrich Schütze VLM 158 74 0 26 Nov 2021
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP Gözde Gül Sahin 184 38 0 18 Nov 2021
Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification A. Edwards Asahi Ushio Jose Camacho-Collados Hélène de Ribaupierre Alun D. Preece VLM 161 29 0 17 Nov 2021
Exploiting all samples in low-resource sentence classification: early stopping and initialization parametersIEEE Access (IEEE Access), 2021 Hongseok Choi Hyunju Lee 106 6 0 12 Nov 2021
SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets Ann Yuan Daphne Ippolito Vitaly Nikolaev Chris Callison-Burch Andy Coenen Sebastian Gehrmann SyDa 313 24 0 11 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing Surveys (CSUR), 2021 Bonan Min Hayley L Ross Elior Sulem Amir Pouran Ben Veyseh Thien Huu Nguyen Oscar Sainz Eneko Agirre Ilana Heinz Dan Roth LM&MA VLM AI4CE 382 1,325 0 01 Nov 2021
Improved Goal Oriented Dialogue via Utterance Generation and Look Ahead Hong Huang Boaz Carmeli Ateret Anaby-Tavor 154 2 0 24 Oct 2021
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models Peter West Chandrasekhar Bhagavatula Jack Hessel Jena D. Hwang Liwei Jiang Ronan Le Bras Ximing Lu Sean Welleck Yejin Choi SyDa 355 355 0 14 Oct 2021
Unsupervised Neural Machine Translation with Generative Language Models Only Jesse Michael Han Igor Babuschkin Harrison Edwards Arvind Neelakantan Tao Xu ... Alex Ray Pranav Shyam Aditya A. Ramesh Alec Radford Ilya Sutskever 240 40 0 11 Oct 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 344 345 0 05 Oct 2021
A Diversity-Enhanced and Constraints-Relaxed Augmentation for Low-Resource ClassificationInternational Conference on Database Systems for Advanced Applications (DASFAA), 2021 Guang Liu Hailong Huang Yuzhao Mao Weiguo Gao Xuan Li Jianping Shen 217 1 0 24 Sep 2021
K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question AnsweringInternational Conference on Information and Knowledge Management (CIKM), 2021 Fu Sun Feng-Lin Li Ruize Wang Qianglong Chen Xingyi Cheng Ji Zhang VLM KELM 149 4 0 22 Sep 2021
Data Augmentation Methods for Anaphoric Zero Pronouns Abdulrahman Aloraini Massimo Poesio 147 5 0 20 Sep 2021
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning Tu Vu Minh-Thang Luong Quoc V. Le Grady Simon Mohit Iyyer 358 62 0 13 Sep 2021
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding Yingmei Guo Linjun Shou Jian Pei Ming Gong Mingxing Xu Zhiyong Wu Daxin Jiang 131 5 0 03 Sep 2021
Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate SpeechConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Tomer Wullach A. Adler Einat Minkov 103 46 0 01 Sep 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Shuhuai Ren Jinchao Zhang Lei Li Xu Sun Jie Zhou 130 35 0 01 Sep 2021
What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification Biyang Guo S. Han Hailiang Huang 114 5 0 01 Sep 2021
FlipDA: Effective and Robust Data Augmentation for Few-Shot LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 Jing Zhou Yanan Zheng Jie Tang Jian Li Zhilin Yang VLM 220 87 0 13 Aug 2021
Back-Translated Task Adaptive Pretraining: Improving Accuracy and Robustness on Text Classification Junghoon Lee Jounghee Kim Pilsung Kang VLM 103 5 0 22 Jul 2021

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Not Enough Data? Deep Learning to the Rescue!

Papers citing "Not Enough Data? Deep Learning to the Rescue!"