Character-level Convolutional Networks for Text Classification

4 September 2015

Papers citing "Character-level Convolutional Networks for Text Classification"

50 / 973 papers shown

Title
Exploring the Curious Case of Code Prompts Li Zhang Liam Dugan Hainiu Xu Chris Callison-Burch LRM 50 14 0 26 Apr 2023
Is augmentation effective to improve prediction in imbalanced text datasets? Gabriel O. Assunccao Rafael Izbicki M. Prates 18 0 0 20 Apr 2023
MasakhaNEWS: News Topic Classification for African languages David Ifeoluwa Adelani Marek Masiak Israel Abebe Azime Jesujoba Oluwadara Alabi A. Tonja ... Moges Ahmed Mehamed Evrard Ngabire Jules Jules Ivan Ssenkungu Pontus Stenetorp 54 24 0 19 Apr 2023
Recognizing Entity Types via Properties D. Shi Fausto Giunchiglia 30 0 0 16 Apr 2023
Continual Graph Convolutional Network for Text Classification Tiandeng Wu Qijiong Liu Yinhao Cao yao. huang Xiao-Ming Wu Jiandong Ding GNN 51 10 0 09 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 39 41 0 07 Apr 2023
MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities Priyanka Kargupta Tanay Komarlu Susik Yoon Xuan Wang Jiawei Han 52 8 0 04 Apr 2023
Combinatorial Convolutional Neural Networks for Words K. Sargsyan 14 0 0 28 Mar 2023
Scaling Expert Language Models with Unsupervised Domain Discovery Suchin Gururangan Margaret Li M. Lewis Weijia Shi Tim Althoff Noah A. Smith Luke Zettlemoyer MoE 41 46 0 24 Mar 2023
Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification Cuong V. Nguyen Khiem H. Le Anh Tran Quang Pham Binh T. Nguyen 15 14 0 16 Mar 2023
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning Zhen Wang Yikang Shen Leonid Karlinsky Rogerio Feris Huan Sun Yoon Kim VLM VPVLM 49 108 0 06 Mar 2023
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models D. Song Zhijie Wang Yuheng Huang Lei Ma Tianyi Zhang 37 4 0 02 Mar 2023
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study Mingxu Tao Yansong Feng Dongyan Zhao CLL KELM 37 10 0 02 Mar 2023
Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process Mingze Ni Zhen-Biao Sun Wei Liu AAML SILM 46 7 0 01 Mar 2023
A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data Haizhou Du Chengdong Ni 22 1 0 01 Mar 2023
Analyzing Populations of Neural Networks via Dynamical Model Embedding Jordan S. Cotler Kai Sheng Tai Felipe Hernández Blake Elias David Sussillo 22 4 0 27 Feb 2023
Finding Support Examples for In-Context Learning Xiaonan Li Xipeng Qiu 40 90 0 27 Feb 2023
Elementwise Language Representation Du-Yeong Kim Jeeeun Kim 41 0 0 27 Feb 2023
STA: Self-controlled Text Augmentation for Improving Text Classifications Congcong Wang Gonzalo Fiz Pontiveros Steven Derby Tri Kurniawan Wijaya 51 3 0 24 Feb 2023
Harnessing the Speed and Accuracy of Machine Learning to Advance Cybersecurity Khatoon Mohammed AAML 40 10 0 24 Feb 2023
Detecting software vulnerabilities using Language Models Marwan Omar 37 11 0 23 Feb 2023
Mask-guided BERT for Few Shot Text Classification Wenxiong Liao Zheng Liu Haixing Dai Zihao Wu Yiyang Zhang ... Dajiang Zhu Tianming Liu Sheng Li Xiang Li Hongmin Cai VLM 52 39 0 21 Feb 2023
RobustNLP: A Technique to Defend NLP Models Against Backdoor Attacks Marwan Omar SILM AAML 48 0 0 18 Feb 2023
Scalable Prompt Generation for Semi-supervised Learning with Language Models Yuhang Zhou Suraj Maharjan Bei Liu VLM 36 14 0 18 Feb 2023
RETVec: Resilient and Efficient Text Vectorizer Elie Bursztein Marina Zhang Owen Vallis Xinyu Jia Alexey Kurakin VLM 32 4 0 18 Feb 2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? Chengwei Qin Q. Li Ruochen Zhao Shafiq Joty VLM LRM 28 15 0 16 Feb 2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AI4TS 27 0 0 11 Feb 2023
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks Piotr Gaiñski Klaudia Bałazy 32 6 0 10 Feb 2023
Text recognition on images using pre-trained CNN Afgani Fajar Rizky N. Yudistira Edy Santoso VLM 43 4 0 10 Feb 2023
Knowledge is a Region in Weight Space for Fine-tuned Language Models Almog Gueta Elad Venezian Colin Raffel Noam Slonim Yoav Katz Leshem Choshen 39 50 0 09 Feb 2023
AutoWS: Automated Weak Supervision Framework for Text Classification Abhinav Bohra Huy-Thanh Nguyen Devashish Khatwani NoLa 32 0 0 07 Feb 2023
Data Selection for Language Models via Importance Resampling Sang Michael Xie Shibani Santurkar Tengyu Ma Percy Liang 66 178 0 06 Feb 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification Lingfeng Shen Ze Zhang Haiyun Jiang Ying-Cong Chen AAML 56 5 0 03 Feb 2023
DoCoFL: Downlink Compression for Cross-Device Federated Learning Ron Dorfman S. Vargaftik Y. Ben-Itzhak Kfir Y. Levy FedML 37 19 0 01 Feb 2023
Exploring the Constructicon: Linguistic Analysis of a Computational CxG Jonathan Dunn 40 5 0 30 Jan 2023
Prompt-Based Editing for Text Style Transfer Guoqing Luo Yu Tong Han Lili Mou Mauajama Firdaus 44 23 0 27 Jan 2023
SLCNN: Sentence-Level Convolutional Neural Network for Text Classification A. Jarrahi Ramin Mousa Leila Safari AILaw 32 2 0 27 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 63 2 0 26 Jan 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning Hao Chen R. Tao Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Bhiksha Raj Marios Savvides 38 145 0 26 Jan 2023
Which Model Shall I Choose? Cost/Quality Trade-offs for Text Classification Tasks Shi Zong Joshua Seltzer Jia Pan Pan Kathy Cheng Jimmy J. Lin 32 4 0 17 Jan 2023
Adaptive Deep Neural Network Inference Optimization with EENet Fatih Ilhan Ka-Ho Chow Sihao Hu Tiansheng Huang Selim Tekin ... Myungjin Lee Ramana Rao Kompella Hugo Latapie Gan Liu Ling Liu 46 11 0 15 Jan 2023
On the role of Model Uncertainties in Bayesian Optimization Jonathan Foldager Mikkel Jordahn Lars Kai Hansen Michael Riis Andersen 35 5 0 14 Jan 2023
Scalable Batch Acquisition for Deep Bayesian Active Learning Aleksandr Rubashevskii Daria A. Kotova Maxim Panov BDL 27 3 0 13 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 33 28 0 21 Dec 2022
Smooth Sailing: Improving Active Learning for Pre-trained Language Models with Representation Smoothness Analysis Josip Jukić Jan Snajder 24 5 0 20 Dec 2022
Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers Damai Dai Yutao Sun Li Dong Y. Hao Shuming Ma Zhifang Sui Furu Wei LRM 33 156 0 20 Dec 2022
On-the-fly Denoising for Data Augmentation in Natural Language Understanding Tianqing Fang Wenxuan Zhou Fangyu Liu Hongming Zhang Yangqiu Song Muhao Chen 56 1 0 20 Dec 2022
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? Weijia Shi Xiaochuang Han Hila Gonen Ari Holtzman Yulia Tsvetkov Luke Zettlemoyer 42 42 0 20 Dec 2022
Is GPT-3 a Good Data Annotator? Bosheng Ding Chengwei Qin Linlin Liu Yew Ken Chia Shafiq Joty Boyang Albert Li Lidong Bing 42 237 0 20 Dec 2022
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering Zhiyong Wu Yaoxiang Wang Jiacheng Ye Lingpeng Kong 41 122 0 20 Dec 2022