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Character-level Convolutional Networks for Text Classification

Character-level Convolutional Networks for Text Classification

4 September 2015
Xiang Zhang
Jiaqi Zhao
Yann LeCun
ArXivPDFHTML

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

50 / 1,025 papers shown
Title
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive
  Text Summarization
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization
Chujie Zheng
Kunpeng Zhang
Harry J. Wang
Ling Fan
Zhe Wang
30
6
0
26 Aug 2021
Data Augmentation for Low-Resource Named Entity Recognition Using
  Backtranslation
Data Augmentation for Low-Resource Named Entity Recognition Using Backtranslation
Usama Yaseen
Stefan Langer
MedIm
26
15
0
26 Aug 2021
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text
  Generation and Classification
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification
Bo Pang
Ying Nian Wu
29
18
0
26 Aug 2021
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel
  Classification
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification
Gabriel Bénédict
Vincent Koops
Daan Odijk
Maarten de Rijke
50
31
0
24 Aug 2021
Influence-guided Data Augmentation for Neural Tensor Completion
Influence-guided Data Augmentation for Neural Tensor Completion
Sejoon Oh
Sungchul Kim
Ryan Rossi
Srijan Kumar
33
11
0
23 Aug 2021
Existence, Stability and Scalability of Orthogonal Convolutional Neural
  Networks
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks
El Mehdi Achour
Franccois Malgouyres
Franck Mamalet
29
21
0
12 Aug 2021
Noisy Channel Language Model Prompting for Few-Shot Text Classification
Noisy Channel Language Model Prompting for Few-Shot Text Classification
Sewon Min
Michael Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
VLM
45
219
0
09 Aug 2021
Unsupervised Domain Adaptation for Hate Speech Detection Using a Data
  Augmentation Approach
Unsupervised Domain Adaptation for Hate Speech Detection Using a Data Augmentation Approach
Sheikh Muhammad Sarwar
Vanessa Murdock
44
20
0
27 Jul 2021
Back-Translated Task Adaptive Pretraining: Improving Accuracy and
  Robustness on Text Classification
Back-Translated Task Adaptive Pretraining: Improving Accuracy and Robustness on Text Classification
Junghoon Lee
Jounghee Kim
Pilsung Kang
VLM
21
5
0
22 Jul 2021
Small-Text: Active Learning for Text Classification in Python
Small-Text: Active Learning for Text Classification in Python
Christopher Schröder
Lydia Muller
A. Niekler
Martin Potthast
CLIP
VLM
AI4CE
51
24
0
21 Jul 2021
A Survey on Data-driven Software Vulnerability Assessment and
  Prioritization
A Survey on Data-driven Software Vulnerability Assessment and Prioritization
T. H. Le
Huaming Chen
Muhammad Ali Babar
32
80
0
18 Jul 2021
A Survey on Data Augmentation for Text Classification
A Survey on Data Augmentation for Text Classification
Markus Bayer
M. Kaufhold
Christian A. Reuter
80
339
0
07 Jul 2021
Neural Natural Language Processing for Unstructured Data in Electronic
  Health Records: a Review
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
Irene Li
Jessica Pan
Jeremy Goldwasser
Neha Verma
Wai Pan Wong
...
Matthew Zhang
David Chang
R. Taylor
H. Krumholz
Dragomir R. Radev
BDL
50
155
0
07 Jul 2021
DISCO : efficient unsupervised decoding for discrete natural language
  problems via convex relaxation
DISCO : efficient unsupervised decoding for discrete natural language problems via convex relaxation
Anish Acharya
Rudrajit Das
26
0
0
07 Jul 2021
The Spotlight: A General Method for Discovering Systematic Errors in
  Deep Learning Models
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models
G. dÉon
Jason dÉon
J. R. Wright
Kevin Leyton-Brown
47
74
0
01 Jul 2021
Mandoline: Model Evaluation under Distribution Shift
Mandoline: Model Evaluation under Distribution Shift
Mayee F. Chen
Karan Goel
N. Sohoni
Fait Poms
Kayvon Fatahalian
Christopher Ré
46
70
0
01 Jul 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural
  Language Understanding
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
Dong Wang
Ning Ding
Pijian Li
Haitao Zheng
AAML
39
115
0
01 Jul 2021
Elbert: Fast Albert with Confidence-Window Based Early Exit
Elbert: Fast Albert with Confidence-Window Based Early Exit
Keli Xie
Siyuan Lu
Meiqi Wang
Zhongfeng Wang
27
20
0
01 Jul 2021
Charformer: Fast Character Transformers via Gradient-based Subword
  Tokenization
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
Yi Tay
Vinh Q. Tran
Sebastian Ruder
Jai Gupta
Hyung Won Chung
Dara Bahri
Zhen Qin
Simon Baumgartner
Cong Yu
Donald Metzler
51
154
0
23 Jun 2021
Predicting Gender by First Name Using Character-level Machine Learning
Predicting Gender by First Name Using Character-level Machine Learning
Rosana C. B. Rego
V. M. Silva
V. M. Fernandes
FaML
71
6
0
18 Jun 2021
Vision-Language Navigation with Random Environmental Mixup
Vision-Language Navigation with Random Environmental Mixup
Chong Liu
Fengda Zhu
Xiaojun Chang
Xiaodan Liang
Zongyuan Ge
Yi-Dong Shen
LM&Ro
61
86
0
15 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in
  NLP
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
Jiaao Chen
Derek Tam
Colin Raffel
Joey Tianyi Zhou
Diyi Yang
45
174
0
14 Jun 2021
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word
  Substitution
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution
Fanchao Qi
Yuan Yao
Sophia Xu
Zhiyuan Liu
Maosong Sun
SILM
38
127
0
11 Jun 2021
Dynamic Language Models for Continuously Evolving Content
Dynamic Language Models for Continuously Evolving Content
Spurthi Amba Hombaiah
Tao Chen
Mingyang Zhang
Michael Bendersky
Marc Najork
CLL
KELM
47
37
0
11 Jun 2021
Variational Information Bottleneck for Effective Low-Resource
  Fine-Tuning
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning
Rabeeh Karimi Mahabadi
Yonatan Belinkov
James Henderson
DRL
26
73
0
10 Jun 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels
To Smooth or Not? When Label Smoothing Meets Noisy Labels
Jiaheng Wei
Hangyu Liu
Tongliang Liu
Gang Niu
Masashi Sugiyama
Yang Liu
NoLa
32
69
0
08 Jun 2021
Connecting Language and Vision for Natural Language-Based Vehicle
  Retrieval
Connecting Language and Vision for Natural Language-Based Vehicle Retrieval
Shuai Bai
Zhedong Zheng
Xiaohan Wang
Junyang Lin
Zhu Zhang
Chang Zhou
Yi Yang
Hongxia Yang
40
27
0
31 May 2021
SGPT: Semantic Graphs based Pre-training for Aspect-based Sentiment
  Analysis
SGPT: Semantic Graphs based Pre-training for Aspect-based Sentiment Analysis
Yong Qian
Zhongqing Wang
Rong Xiao
Chen Chen
Haihong Tang
33
4
0
26 May 2021
TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference
TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference
Deming Ye
Yankai Lin
Yufei Huang
Maosong Sun
MQ
32
63
0
25 May 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
24
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
49
804
0
07 May 2021
Entailment as Few-Shot Learner
Entailment as Few-Shot Learner
Sinong Wang
Han Fang
Madian Khabsa
Hanzi Mao
Hao Ma
35
183
0
29 Apr 2021
Multi-class Text Classification using BERT-based Active Learning
Multi-class Text Classification using BERT-based Active Learning
Sumanth Prabhu
Moosa Mohamed
Hemant Misra
39
38
0
27 Apr 2021
Manipulating SGD with Data Ordering Attacks
Manipulating SGD with Data Ordering Attacks
Ilia Shumailov
Zakhar Shumaylov
Dmitry Kazhdan
Yiren Zhao
Nicolas Papernot
Murat A. Erdogdu
Ross J. Anderson
AAML
112
91
0
19 Apr 2021
IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in
  Transformers
IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers
Karthik Puranik
Adeep Hande
R. Priyadharshini
Sajeetha Thavareesan
Bharathi Raja Chakravarthi
40
59
0
19 Apr 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
245
182
0
18 Apr 2021
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
Kang Min Yoo
Dongju Park
Jaewook Kang
Sang-Woo Lee
Woomyeong Park
53
236
0
18 Apr 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
290
1,141
0
18 Apr 2021
On the Sensitivity and Stability of Model Interpretations in NLP
On the Sensitivity and Stability of Model Interpretations in NLP
Fan Yin
Zhouxing Shi
Cho-Jui Hsieh
Kai-Wei Chang
FAtt
27
33
0
18 Apr 2021
Making Attention Mechanisms More Robust and Interpretable with Virtual
  Adversarial Training
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training
Shunsuke Kitada
Hitoshi Iyatomi
AAML
48
8
0
18 Apr 2021
"Average" Approximates "First Principal Component"? An Empirical
  Analysis on Representations from Neural Language Models
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models
Zihan Wang
Chengyu Dong
Jingbo Shang
FAtt
59
4
0
18 Apr 2021
Data Distillation for Text Classification
Data Distillation for Text Classification
Chak Tou Leong
Wenjie Li
DD
63
28
0
17 Apr 2021
On the Importance of Effectively Adapting Pretrained Language Models for
  Active Learning
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning
Katerina Margatina
Loïc Barrault
Nikolaos Aletras
34
36
0
16 Apr 2021
What to Pre-Train on? Efficient Intermediate Task Selection
What to Pre-Train on? Efficient Intermediate Task Selection
Clifton A. Poth
Jonas Pfeiffer
Andreas Rucklé
Iryna Gurevych
29
95
0
16 Apr 2021
Gradient-based Adversarial Attacks against Text Transformers
Gradient-based Adversarial Attacks against Text Transformers
Chuan Guo
Alexandre Sablayrolles
Hervé Jégou
Douwe Kiela
SILM
112
232
0
15 Apr 2021
Escaping the Big Data Paradigm with Compact Transformers
Escaping the Big Data Paradigm with Compact Transformers
Ali Hassani
Steven Walton
Nikhil Shah
Abulikemu Abuduweili
Jiachen Li
Humphrey Shi
83
462
0
12 Apr 2021
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers
Andrei Manolache
Florin Brad
Elena Burceanu
UQCV
46
33
0
12 Apr 2021
Continual Learning for Text Classification with Information
  Disentanglement Based Regularization
Continual Learning for Text Classification with Information Disentanglement Based Regularization
Yufan Huang
Yanzhe Zhang
Jiaao Chen
Xuezhi Wang
Diyi Yang
CLL
31
107
0
12 Apr 2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without
  Extra Cost
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost
Zhen Wu
Lijun Wu
Qi Meng
Yingce Xia
Shufang Xie
Tao Qin
Xinyu Dai
Tie-Yan Liu
42
22
0
11 Apr 2021
Adapting Language Models for Zero-shot Learning by Meta-tuning on
  Dataset and Prompt Collections
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
Ruiqi Zhong
Kristy Lee
Zheng Zhang
Dan Klein
54
167
0
10 Apr 2021
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