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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 / 901 papers shown
Title
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures
  of Soft Prompts
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts
Akari Asai
Mohammadreza Salehi
Matthew E. Peters
Hannaneh Hajishirzi
130
100
0
24 May 2022
WeDef: Weakly Supervised Backdoor Defense for Text Classification
WeDef: Weakly Supervised Backdoor Defense for Text Classification
Lesheng Jin
Zihan Wang
Jingbo Shang
AAML
44
14
0
24 May 2022
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual
  Style Transfer with Small Language Models
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models
Mirac Suzgun
Luke Melas-Kyriazi
Dan Jurafsky
VLM
87
66
0
23 May 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models
BBTv2: Towards a Gradient-Free Future with Large Language Models
Tianxiang Sun
Zhengfu He
Hong Qian
Yunhua Zhou
Xuanjing Huang
Xipeng Qiu
108
53
0
23 May 2022
Prototypical Calibration for Few-shot Learning of Language Models
Prototypical Calibration for Few-shot Learning of Language Models
Zhixiong Han
Y. Hao
Li Dong
Yutao Sun
Furu Wei
178
54
0
20 May 2022
Visually-Augmented Language Modeling
Visually-Augmented Language Modeling
Weizhi Wang
Li Dong
Hao Cheng
Haoyu Song
Xiaodong Liu
Xifeng Yan
Jianfeng Gao
Furu Wei
VLM
41
18
0
20 May 2022
Financial Time Series Data Augmentation with Generative Adversarial
  Networks and Extended Intertemporal Return Plots
Financial Time Series Data Augmentation with Generative Adversarial Networks and Extended Intertemporal Return Plots
Justin Hellermann
Qinzhuan Qian
Ankit Shah
AI4TS
31
1
0
18 May 2022
Prompting to Distill: Boosting Data-Free Knowledge Distillation via
  Reinforced Prompt
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt
Xinyin Ma
Xinchao Wang
Gongfan Fang
Yongliang Shen
Weiming Lu
24
11
0
16 May 2022
Transkimmer: Transformer Learns to Layer-wise Skim
Transkimmer: Transformer Learns to Layer-wise Skim
Yue Guan
Zhengyi Li
Jingwen Leng
Zhouhan Lin
Minyi Guo
80
38
0
15 May 2022
AEON: A Method for Automatic Evaluation of NLP Test Cases
AEON: A Method for Automatic Evaluation of NLP Test Cases
Jen-tse Huang
Jianping Zhang
Wenxuan Wang
Pinjia He
Yuxin Su
Michael R. Lyu
45
23
0
13 May 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural
  Language Understanding
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding
Le Zhang
Zichao Yang
Diyi Yang
40
24
0
12 May 2022
UL2: Unifying Language Learning Paradigms
UL2: Unifying Language Learning Paradigms
Yi Tay
Mostafa Dehghani
Vinh Q. Tran
Xavier Garcia
Jason W. Wei
...
Tal Schuster
H. Zheng
Denny Zhou
N. Houlsby
Donald Metzler
AI4CE
78
298
0
10 May 2022
Extracting Latent Steering Vectors from Pretrained Language Models
Extracting Latent Steering Vectors from Pretrained Language Models
Nishant Subramani
Nivedita Suresh
Matthew E. Peters
LLMSV
36
82
0
10 May 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
Shujian Zhang
Chengyue Gong
Xingchao Liu
Pengcheng He
Weizhu Chen
Mingyuan Zhou
29
26
0
10 May 2022
AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of
  Acute Kidney Injury
AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury
Chengsheng Mao
Liang Yao
Yuan Luo
21
1
0
07 May 2022
Towards Computationally Feasible Deep Active Learning
Towards Computationally Feasible Deep Active Learning
Akim Tsvigun
Artem Shelmanov
Gleb Kuzmin
Leonid Sanochkin
Daniil Larionov
Gleb Gusev
Manvel Avetisian
L. Zhukov
32
15
0
07 May 2022
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset
  Evaluation for Text Classification
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification
Yanghua Xiao
Jinlan Fu
See-Kiong Ng
Pengfei Liu
23
2
0
04 May 2022
Multi-Task Text Classification using Graph Convolutional Networks for
  Large-Scale Low Resource Language
Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language
Mounika Marreddy
S. Oota
Lakshmi Sireesha Vakada
Venkata Charan Chinni
R. Mamidi
19
12
0
02 May 2022
Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem
  Solvers
Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers
Vivek Kumar
Rishabh Maheshwary
Vikram Pudi
AIMat
24
14
0
30 Apr 2022
Polyglot Prompt: Multilingual Multitask PrompTraining
Polyglot Prompt: Multilingual Multitask PrompTraining
Jinlan Fu
See-Kiong Ng
Pengfei Liu
34
7
0
29 Apr 2022
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance
  Text Classification
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification
Minyi Zhao
Lu Zhang
Yi Xu
Jiandong Ding
Jihong Guan
Shuigeng Zhou
VLM
49
10
0
24 Apr 2022
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in
  Text Classification
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification
D. Zhu
Michael A. Hedderich
Fangzhou Zhai
David Ifeoluwa Adelani
Dietrich Klakow
NoLa
40
32
0
20 Apr 2022
Data-heterogeneity-aware Mixing for Decentralized Learning
Data-heterogeneity-aware Mixing for Decentralized Learning
Yatin Dandi
Anastasia Koloskova
Martin Jaggi
Sebastian U. Stich
43
18
0
13 Apr 2022
Can Question Rewriting Help Conversational Question Answering?
Can Question Rewriting Help Conversational Question Answering?
Etsuko Ishii
Yan Xu
Samuel Cahyawijaya
Bryan Wilie
38
9
0
13 Apr 2022
Self-Supervised Losses for One-Class Textual Anomaly Detection
Self-Supervised Losses for One-Class Textual Anomaly Detection
Kimberly T. Mai
Toby O. Davies
Lewis D. Griffin
20
7
0
12 Apr 2022
A Comparative Study of Faithfulness Metrics for Model Interpretability
  Methods
A Comparative Study of Faithfulness Metrics for Model Interpretability Methods
Chun Sik Chan
Huanqi Kong
Guanqing Liang
24
50
0
12 Apr 2022
"That Is a Suspicious Reaction!": Interpreting Logits Variation to
  Detect NLP Adversarial Attacks
"That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks
Edoardo Mosca
Shreyash Agarwal
Javier Rando
Georg Groh
AAML
35
30
0
10 Apr 2022
ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for
  Semi-supervised Text Classification
ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification
Kunze Wang
S. Han
Siqu Long
Josiah Poon
31
20
0
10 Apr 2022
Understanding, Detecting, and Separating Out-of-Distribution Samples and
  Adversarial Samples in Text Classification
Understanding, Detecting, and Separating Out-of-Distribution Samples and Adversarial Samples in Text Classification
Cheng-Han Chiang
Hung-yi Lee
OODD
28
1
0
09 Apr 2022
Towards Understanding Large-Scale Discourse Structures in Pre-Trained
  and Fine-Tuned Language Models
Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models
Patrick Huber
Giuseppe Carenini
20
11
0
08 Apr 2022
Few-Shot Learning with Siamese Networks and Label Tuning
Few-Shot Learning with Siamese Networks and Label Tuning
Thomas Müller
Guillermo Pérez-Torró
Marc Franco-Salvador
VLM
28
38
0
28 Mar 2022
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
Jinghui Lu
Linyi Yang
Brian Mac Namee
Yue Zhang
29
39
0
24 Mar 2022
Adversarial Training for Improving Model Robustness? Look at Both
  Prediction and Interpretation
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
Hanjie Chen
Yangfeng Ji
OOD
AAML
VLM
36
21
0
23 Mar 2022
A Framework for Fast Polarity Labelling of Massive Data Streams
A Framework for Fast Polarity Labelling of Massive Data Streams
Hui-Hsin Wu
Mian Lu
Zhao Zheng
Shuhao Zhang
23
0
0
23 Mar 2022
An Empirical Study of Memorization in NLP
An Empirical Study of Memorization in NLP
Xiaosen Zheng
Jing Jiang
TDI
22
24
1
23 Mar 2022
Prototypical Verbalizer for Prompt-based Few-shot Tuning
Prototypical Verbalizer for Prompt-based Few-shot Tuning
Ganqu Cui
Shengding Hu
Ning Ding
Longtao Huang
Zhiyuan Liu
VLM
20
96
0
18 Mar 2022
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive
  Weakly-Supervised Learning
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning
Rongzhi Zhang
Yue Yu
Pranav Shetty
Le Song
Chao Zhang
32
23
0
18 Mar 2022
Towards Personalized Intelligence at Scale
Towards Personalized Intelligence at Scale
Yiping Kang
Ashish Mahendra
Christopher Clarke
Lingjia Tang
Jason Mars
33
1
0
13 Mar 2022
Measuring the Mixing of Contextual Information in the Transformer
Measuring the Mixing of Contextual Information in the Transformer
Javier Ferrando
Gerard I. Gállego
Marta R. Costa-jussá
38
50
0
08 Mar 2022
Detection of Word Adversarial Examples in Text Classification: Benchmark
  and Baseline via Robust Density Estimation
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation
Kiyoon Yoo
Jangho Kim
Jiho Jang
Nojun Kwak
24
39
0
03 Mar 2022
Improving Performance of Automated Essay Scoring by using
  back-translation essays and adjusted scores
Improving Performance of Automated Essay Scoring by using back-translation essays and adjusted scores
You-Jin Jong
Yong-Jin Kim
Ok-Chol Ri
25
6
0
01 Mar 2022
Understanding Contrastive Learning Requires Incorporating Inductive
  Biases
Understanding Contrastive Learning Requires Incorporating Inductive Biases
Nikunj Saunshi
Jordan T. Ash
Surbhi Goel
Dipendra Kumar Misra
Cyril Zhang
Sanjeev Arora
Sham Kakade
A. Krishnamurthy
SSL
31
109
0
28 Feb 2022
Controllable Natural Language Generation with Contrastive Prefixes
Controllable Natural Language Generation with Contrastive Prefixes
Jing Qian
Li Dong
Yelong Shen
Furu Wei
Weizhu Chen
10
95
0
27 Feb 2022
Automated Identification of Toxic Code Reviews Using ToxiCR
Automated Identification of Toxic Code Reviews Using ToxiCR
Jaydeb Sarker
Asif Kamal Turzo
Mingyou Dong
Amiangshu Bosu
27
31
0
26 Feb 2022
First is Better Than Last for Language Data Influence
First is Better Than Last for Language Data Influence
Chih-Kuan Yeh
Ankur Taly
Mukund Sundararajan
Frederick Liu
Pradeep Ravikumar
TDI
39
20
0
24 Feb 2022
Prompt-Learning for Short Text Classification
Prompt-Learning for Short Text Classification
Yi Zhu
Xinke Zhou
Jipeng Qiang
Yun Li
Yunhao Yuan
Xindong Wu
VLM
18
34
0
23 Feb 2022
Semantic-Oriented Unlabeled Priming for Large-Scale Language Models
Semantic-Oriented Unlabeled Priming for Large-Scale Language Models
Yanchen Liu
Timo Schick
Hinrich Schütze
VLM
36
15
0
12 Feb 2022
Private Adaptive Optimization with Side Information
Private Adaptive Optimization with Side Information
Tian Li
Manzil Zaheer
Sashank J. Reddi
Virginia Smith
42
35
0
12 Feb 2022
AdaPrompt: Adaptive Model Training for Prompt-based NLP
AdaPrompt: Adaptive Model Training for Prompt-based NLP
Yulong Chen
Yang Liu
Li Dong
Shuohang Wang
Chenguang Zhu
Michael Zeng
Yue Zhang
VLM
32
45
0
10 Feb 2022
On The Empirical Effectiveness of Unrealistic Adversarial Hardening
  Against Realistic Adversarial Attacks
On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks
Salijona Dyrmishi
Salah Ghamizi
Thibault Simonetto
Yves Le Traon
Maxime Cordy
AAML
37
16
0
07 Feb 2022
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