ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1509.01626
  4. Cited By
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 / 901 papers shown
Title
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
Linyang Li
Demin Song
Ruotian Ma
Xipeng Qiu
Xuanjing Huang
31
21
0
06 Oct 2021
Data Augmentation Approaches in Natural Language Processing: A Survey
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
132
274
0
05 Oct 2021
XPROAX-Local explanations for text classification with progressive
  neighborhood approximation
XPROAX-Local explanations for text classification with progressive neighborhood approximation
Yi Cai
Arthur Zimek
Eirini Ntoutsi
27
5
0
30 Sep 2021
PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided
  MCTS Decoding
PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding
Antoine Chaffin
Vincent Claveau
Ewa Kijak
31
36
0
28 Sep 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning
  Research
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Mikayel Samvelyan
Robert Kirk
Vitaly Kurin
Jack Parker-Holder
Minqi Jiang
Eric Hambro
Fabio Petroni
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
OffRL
238
89
0
27 Sep 2021
Challenging the Semi-Supervised VAE Framework for Text Classification
Challenging the Semi-Supervised VAE Framework for Text Classification
G. Felhi
Joseph Le Roux
Djamé Seddah
BDL
26
2
0
27 Sep 2021
Pushing on Text Readability Assessment: A Transformer Meets Handcrafted
  Linguistic Features
Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features
Bruce W. Lee
Yoonna Jang
J. Lee
VLM
48
75
0
25 Sep 2021
WRENCH: A Comprehensive Benchmark for Weak Supervision
WRENCH: A Comprehensive Benchmark for Weak Supervision
Jieyu Zhang
Yue Yu
Yinghao Li
Yujing Wang
Yaming Yang
Mao Yang
Alexander Ratner
27
111
0
23 Sep 2021
Data Augmentation Methods for Anaphoric Zero Pronouns
Data Augmentation Methods for Anaphoric Zero Pronouns
Abdulrahman Aloraini
Massimo Poesio
31
5
0
20 Sep 2021
Towards Zero-Label Language Learning
Towards Zero-Label Language Learning
Zirui Wang
Adams Wei Yu
Orhan Firat
Yuan Cao
SyDa
192
102
0
19 Sep 2021
Mitigating Data Scarceness through Data Synthesis, Augmentation and
  Curriculum for Abstractive Summarization
Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization
Ahmed Magooda
Diane Litman
50
5
0
17 Sep 2021
Fine-Tuned Transformers Show Clusters of Similar Representations Across
  Layers
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers
Jason Phang
Haokun Liu
Samuel R. Bowman
35
25
0
17 Sep 2021
Let the CAT out of the bag: Contrastive Attributed explanations for Text
Let the CAT out of the bag: Contrastive Attributed explanations for Text
Saneem A. Chemmengath
A. Azad
Ronny Luss
Amit Dhurandhar
FAtt
34
10
0
16 Sep 2021
BERT is Robust! A Case Against Synonym-Based Adversarial Examples in
  Text Classification
BERT is Robust! A Case Against Synonym-Based Adversarial Examples in Text Classification
J. Hauser
Zhao Meng
Damian Pascual
Roger Wattenhofer
OOD
SILM
AAML
193
14
0
15 Sep 2021
Self-Training with Differentiable Teacher
Self-Training with Differentiable Teacher
Simiao Zuo
Yue Yu
Chen Liang
Haoming Jiang
Siawpeng Er
Chao Zhang
T. Zhao
H. Zha
46
14
0
15 Sep 2021
Virtual Data Augmentation: A Robust and General Framework for
  Fine-tuning Pre-trained Models
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
Kun Zhou
Wayne Xin Zhao
Sirui Wang
Fuzheng Zhang
Wei Wu
Ji-Rong Wen
AAML
34
7
0
13 Sep 2021
Detecting Textual Adversarial Examples through Randomized Substitution
  and Vote
Detecting Textual Adversarial Examples through Randomized Substitution and Vote
Xiaosen Wang
Yifeng Xiong
Kun He
AAML
30
11
0
13 Sep 2021
Good-Enough Example Extrapolation
Good-Enough Example Extrapolation
Jason W. Wei
27
5
0
12 Sep 2021
A Strong Baseline for Query Efficient Attacks in a Black Box Setting
A Strong Baseline for Query Efficient Attacks in a Black Box Setting
Rishabh Maheshwary
Saket Maheshwary
Vikram Pudi
AAML
30
30
0
10 Sep 2021
Counterfactual Adversarial Learning with Representation Interpolation
Counterfactual Adversarial Learning with Representation Interpolation
Wen Wang
Wei Ping
Ning Shi
Jinfeng Li
Bingyu Zhu
Xiangyu Liu
Rongxin Zhang
AAML
OOD
CML
26
2
0
10 Sep 2021
Multi-granularity Textual Adversarial Attack with Behavior Cloning
Multi-granularity Textual Adversarial Attack with Behavior Cloning
Yangyi Chen
Jingtong Su
Wei Wei
AAML
22
32
0
09 Sep 2021
PPT: Pre-trained Prompt Tuning for Few-shot Learning
PPT: Pre-trained Prompt Tuning for Few-shot Learning
Yuxian Gu
Xu Han
Zhiyuan Liu
Minlie Huang
VLM
59
404
0
09 Sep 2021
Cartography Active Learning
Cartography Active Learning
Mike Zhang
Barbara Plank
29
37
0
09 Sep 2021
A Recipe For Arbitrary Text Style Transfer with Large Language Models
A Recipe For Arbitrary Text Style Transfer with Large Language Models
Emily Reif
Daphne Ippolito
Ann Yuan
Andy Coenen
Chris Callison-Burch
Jason W. Wei
226
117
0
08 Sep 2021
NSP-BERT: A Prompt-based Few-Shot Learner Through an Original
  Pre-training Task--Next Sentence Prediction
NSP-BERT: A Prompt-based Few-Shot Learner Through an Original Pre-training Task--Next Sentence Prediction
Yi Sun
Yu Zheng
Chao Hao
Hangping Qiu
VLM
43
37
0
08 Sep 2021
Data Augmentation for Cross-Domain Named Entity Recognition
Data Augmentation for Cross-Domain Named Entity Recognition
Shuguang Chen
Gustavo Aguilar
Leonardo Neves
Thamar Solorio
ViT
61
42
0
04 Sep 2021
ALLWAS: Active Learning on Language models in WASserstein space
ALLWAS: Active Learning on Language models in WASserstein space
Anson Bastos
Manohar Kaul
MedIm
28
1
0
03 Sep 2021
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALM
UQCV
40
3,600
0
03 Sep 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text
  Classification
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification
Shuhuai Ren
Jinchao Zhang
Lei Li
Xu Sun
Jie Zhou
38
31
0
01 Sep 2021
How Does Adversarial Fine-Tuning Benefit BERT?
How Does Adversarial Fine-Tuning Benefit BERT?
J. Ebrahimi
Hao Yang
Wei Zhang
AAML
28
4
0
31 Aug 2021
T3-Vis: a visual analytic framework for Training and fine-Tuning
  Transformers in NLP
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP
Raymond Li
Wen Xiao
Lanjun Wang
Hyeju Jang
Giuseppe Carenini
ViT
31
23
0
31 Aug 2021
N24News: A New Dataset for Multimodal News Classification
N24News: A New Dataset for Multimodal News Classification
Zhen Wang
Xu Shan
Xiangxie Zhang
Jie Yang
VLM
31
33
0
30 Aug 2021
AEDA: An Easier Data Augmentation Technique for Text Classification
AEDA: An Easier Data Augmentation Technique for Text Classification
Akbar Karimi
L. Rossi
Andrea Prati
32
151
0
30 Aug 2021
DropAttack: A Masked Weight Adversarial Training Method to Improve
  Generalization of Neural Networks
DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks
Shiwen Ni
Jiawen Li
Hung-Yu kao
AAML
32
4
0
29 Aug 2021
Searching for an Effective Defender: Benchmarking Defense against
  Adversarial Word Substitution
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
Zongyi Li
Jianhan Xu
Jiehang Zeng
Linyang Li
Xiaoqing Zheng
Qi Zhang
Kai-Wei Chang
Cho-Jui Hsieh
AAML
8
74
0
29 Aug 2021
NoiER: An Approach for Training more Reliable Fine-TunedDownstream Task
  Models
NoiER: An Approach for Training more Reliable Fine-TunedDownstream Task Models
Myeongjun Jang
Thomas Lukasiewicz
26
4
0
29 Aug 2021
Prototype-Guided Memory Replay for Continual Learning
Prototype-Guided Memory Replay for Continual Learning
Stella Ho
Ming Liu
Lan Du
Longxiang Gao
Yong Xiang
CLL
18
30
0
28 Aug 2021
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural
  Language Understanding
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding
Guoqing Zheng
Giannis Karamanolakis
Kai Shu
Ahmed Hassan Awadallah
SSL
21
1
0
28 Aug 2021
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
27
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
21
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
24
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
40
30
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 A. Rossi
Srijan Kumar
28
10
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
21
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
40
218
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
39
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
19
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
39
23
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
29
79
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
57
336
0
07 Jul 2021
Previous
123...101112...171819
Next