Character-level Convolutional Networks for Text Classification

4 September 2015

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

50 / 901 papers shown

Title
STA: Self-controlled Text Augmentation for Improving Text Classifications Congcong Wang Gonzalo Fiz Pontiveros Steven Derby Tri Kurniawan Wijaya 46 3 0 24 Feb 2023
Harnessing the Speed and Accuracy of Machine Learning to Advance Cybersecurity Khatoon Mohammed AAML 28 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 49 39 0 21 Feb 2023
RobustNLP: A Technique to Defend NLP Models Against Backdoor Attacks Marwan Omar SILM AAML 30 0 0 18 Feb 2023
Scalable Prompt Generation for Semi-supervised Learning with Language Models Yuhang Zhou Suraj Maharjan Bei Liu VLM 34 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 22 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 37 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 27 0 0 07 Feb 2023
Data Selection for Language Models via Importance Resampling Sang Michael Xie Shibani Santurkar Tengyu Ma Percy Liang 48 173 0 06 Feb 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification Lingfeng Shen Ze Zhang Haiyun Jiang Ying-Cong Chen AAML 51 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 35 5 0 30 Jan 2023
Prompt-Based Editing for Text Style Transfer Guoqing Luo Yu Tong Han Lili Mou Mauajama Firdaus 36 23 0 27 Jan 2023
SLCNN: Sentence-Level Convolutional Neural Network for Text Classification A. Jarrahi Ramin Mousa Leila Safari AILaw 26 2 0 27 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 55 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 35 143 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 27 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 43 11 0 15 Jan 2023
On the role of Model Uncertainties in Bayesian Optimization Jonathan Foldager Mikkel Jordahn Lars Kai Hansen Michael Riis Andersen 29 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 31 28 0 21 Dec 2022
Smooth Sailing: Improving Active Learning for Pre-trained Language Models with Representation Smoothness Analysis Josip Jukić Jan Snajder 16 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 25 152 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 54 1 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 37 236 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 41 119 0 20 Dec 2022
Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations Xinxi Lyu Sewon Min Iz Beltagy Luke Zettlemoyer Hannaneh Hajishirzi VLM 22 64 0 19 Dec 2022
One Embedder, Any Task: Instruction-Finetuned Text Embeddings Hongjin Su Weijia Shi Jungo Kasai Yizhong Wang Yushi Hu Mari Ostendorf Wen-tau Yih Noah A. Smith Luke Zettlemoyer Tao Yu 27 282 0 19 Dec 2022
Less is More: Parameter-Free Text Classification with Gzip Zhiying Jiang Matthew Y. R. Yang Mikhail Tsirlin Raphael Tang Jimmy Lin AI4CE 21 9 0 19 Dec 2022
Estimating the Adversarial Robustness of Attributions in Text with Transformers Adam Ivankay Mattia Rigotti Ivan Girardi Chiara Marchiori P. Frossard 25 1 0 18 Dec 2022
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation Yuxi Feng Xiaoyuan Yi Xiting Wang L. Lakshmanan Xing Xie DiffM 35 5 0 16 Dec 2022
Decoder Tuning: Efficient Language Understanding as Decoding Ganqu Cui Wentao Li Ning Ding Longtao Huang Zhiyuan Liu Maosong Sun 26 6 0 16 Dec 2022
Assessing the Impact of Sequence Length Learning on Classification Tasks for Transformer Encoder Models Jean-Thomas Baillargeon Luc Lamontagne 37 1 0 16 Dec 2022
Controllable Text Generation via Probability Density Estimation in the Latent Space Yuxuan Gu Xiaocheng Feng Sicheng Ma Lingyuan Zhang Heng Gong Weihong Zhong Bing Qin 29 18 0 16 Dec 2022
Preventing RNN from Using Sequence Length as a Feature Jean-Thomas Baillargeon Hélène Cossette Luc Lamontagne 29 1 0 16 Dec 2022
Pre-trained Language Models Can be Fully Zero-Shot Learners Xuandong Zhao Siqi Ouyang Zhiguo Yu Ming-li Wu Lei Li VLM LRM 39 34 0 14 Dec 2022
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification Ruixuan Tang Hanjie Chen Yangfeng Ji AAML FAtt 32 2 0 10 Dec 2022
Editing Models with Task Arithmetic Gabriel Ilharco Marco Tulio Ribeiro Mitchell Wortsman Suchin Gururangan Ludwig Schmidt Hannaneh Hajishirzi Ali Farhadi KELM MoMe MU 77 443 0 08 Dec 2022
Demystifying Prompts in Language Models via Perplexity Estimation Hila Gonen Srini Iyer Terra Blevins Noah A. Smith Luke Zettlemoyer LRM 46 196 0 08 Dec 2022
Discovering Latent Knowledge in Language Models Without Supervision Collin Burns Haotian Ye Dan Klein Jacob Steinhardt 73 331 0 07 Dec 2022
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks Zhongwei Wan Yichun Yin Wei Zhang Jiaxin Shi Lifeng Shang Guangyong Chen Xin Jiang Qun Liu VLM CLL 36 16 0 07 Dec 2022
Controlled Text Generation using T5 based Encoder-Decoder Soft Prompt Tuning and Analysis of the Utility of Generated Text in AI Damith Chamalke Senadeera Julia Ive 15 5 0 06 Dec 2022
QBERT: Generalist Model for Processing Questions Zhaozhen Xu N. Cristianini 30 1 0 05 Dec 2022
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning Shachar Don-Yehiya Elad Venezian Colin Raffel Noam Slonim Yoav Katz Leshem Choshen MoMe 33 52 0 02 Dec 2022
Nonparametric Masked Language Modeling Sewon Min Weijia Shi M. Lewis Xilun Chen Wen-tau Yih Hannaneh Hajishirzi Luke Zettlemoyer RALM 50 48 0 02 Dec 2022