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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
Guess the Instruction! Flipped Learning Makes Language Models Stronger
  Zero-Shot Learners
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
Seonghyeon Ye
Doyoung Kim
Joel Jang
Joongbo Shin
Minjoon Seo
FedML
VLM
UQCV
LRM
26
25
0
06 Oct 2022
Ask Me Anything: A simple strategy for prompting language models
Ask Me Anything: A simple strategy for prompting language models
Simran Arora
A. Narayan
Mayee F. Chen
Laurel J. Orr
Neel Guha
Kush S. Bhatia
Ines Chami
Frederic Sala
Christopher Ré
ReLM
LRM
235
208
0
05 Oct 2022
Relative representations enable zero-shot latent space communication
Relative representations enable zero-shot latent space communication
Luca Moschella
Valentino Maiorca
Marco Fumero
Antonio Norelli
Francesco Locatello
Emanuele Rodolà
34
97
0
30 Sep 2022
Downstream Datasets Make Surprisingly Good Pretraining Corpora
Downstream Datasets Make Surprisingly Good Pretraining Corpora
Kundan Krishna
Saurabh Garg
Jeffrey P. Bigham
Zachary Chase Lipton
55
30
0
28 Sep 2022
Efficient Few-Shot Learning Without Prompts
Efficient Few-Shot Learning Without Prompts
Lewis Tunstall
Nils Reimers
Unso Eun Seo Jo
Luke Bates
Daniel Korat
Moshe Wasserblat
Oren Pereg
VLM
41
183
0
22 Sep 2022
Semantically Consistent Data Augmentation for Neural Machine Translation
  via Conditional Masked Language Model
Semantically Consistent Data Augmentation for Neural Machine Translation via Conditional Masked Language Model
Qiao Cheng
Jin Huang
Yitao Duan
36
7
0
22 Sep 2022
Deep Lake: a Lakehouse for Deep Learning
Deep Lake: a Lakehouse for Deep Learning
S. Hambardzumyan
Abhina Tuli
Levon Ghukasyan
Fariz Rahman
Hrant Topchyan
...
Mark McQuade
M. Harutyunyan
Tatevik Hakobyan
I. Stranic
Davit Buniatyan
29
17
0
22 Sep 2022
Representing Affect Information in Word Embeddings
Representing Affect Information in Word Embeddings
Yuhan Zhang
Wenqi Chen
Ruihan Zhang
Xiajie Zhang
CVBM
62
3
0
21 Sep 2022
On the Relation between Sensitivity and Accuracy in In-context Learning
On the Relation between Sensitivity and Accuracy in In-context Learning
Yanda Chen
Chen Zhao
Zhou Yu
Kathleen McKeown
He He
182
77
0
16 Sep 2022
A semantic hierarchical graph neural network for text classification
A semantic hierarchical graph neural network for text classification
Shuai Hua
Xinxin Li
Yun Jing
Qu Liu
17
3
0
15 Sep 2022
CNN-Trans-Enc: A CNN-Enhanced Transformer-Encoder On Top Of Static BERT
  representations for Document Classification
CNN-Trans-Enc: A CNN-Enhanced Transformer-Encoder On Top Of Static BERT representations for Document Classification
Charaf Eddine Benarab
Shenglin Gui
29
6
0
13 Sep 2022
Learning When to Say "I Don't Know"
Learning When to Say "I Don't Know"
Nicholas Kashani Motlagh
Jim Davis
Tim Anderson
Jeremy Gwinnup
26
1
0
11 Sep 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain
  Knowledge Distillation
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
Xuan Gong
Abhishek Sharma
Srikrishna Karanam
Ziyan Wu
Terrence Chen
David Doermann
Arun Innanje
FedML
30
70
0
10 Sep 2022
Improving Model Training via Self-learned Label Representations
Improving Model Training via Self-learned Label Representations
Xiao Yu
Nakul Verma
SSL
30
0
0
09 Sep 2022
Semantic Interactive Learning for Text Classification: A Constructive
  Approach for Contextual Interactions
Semantic Interactive Learning for Text Classification: A Constructive Approach for Contextual Interactions
Sebastian Kiefer
Mareike A Hoffmann
VLM
21
1
0
07 Sep 2022
Selective Text Augmentation with Word Roles for Low-Resource Text
  Classification
Selective Text Augmentation with Word Roles for Low-Resource Text Classification
Biyang Guo
Songqiao Han
Hailiang Huang
35
9
0
04 Sep 2022
Random Text Perturbations Work, but not Always
Random Text Perturbations Work, but not Always
Zhengxiang Wang
DeLMO
12
1
0
02 Sep 2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100
  Labels
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
Nicholas Roberts
Xintong Li
Tzu-Heng Huang
Dyah Adila
Spencer Schoenberg
Chengao Liu
Lauren Pick
Haotian Ma
Aws Albarghouthi
Frederic Sala
UQCV
40
7
0
30 Aug 2022
Task Selection for AutoML System Evaluation
Task Selection for AutoML System Evaluation
Jon Lorraine
Nihesh Anderson
Chansoo Lee
Quentin de Laroussilhe
Mehadi Hassen
57
4
0
26 Aug 2022
Interpreting Embedding Spaces by Conceptualization
Interpreting Embedding Spaces by Conceptualization
Adi Simhi
Shaul Markovitch
29
5
0
22 Aug 2022
MockingBERT: A Method for Retroactively Adding Resilience to NLP Models
MockingBERT: A Method for Retroactively Adding Resilience to NLP Models
Jan Jezabek
A. Singh
SILM
KELM
36
0
0
21 Aug 2022
Neural Embeddings for Text
Neural Embeddings for Text
Oleg V. Vasilyev
John Bohannon
MILM
18
2
0
17 Aug 2022
Visual Comparison of Language Model Adaptation
Visual Comparison of Language Model Adaptation
Rita Sevastjanova
E. Cakmak
Shauli Ravfogel
Ryan Cotterell
Mennatallah El-Assady
VLM
49
16
0
17 Aug 2022
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for
  Curriculum Data Augmentation
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation
Hongyuan Lu
W. Lam
26
9
0
17 Aug 2022
A Context-Aware Approach for Textual Adversarial Attack through
  Probability Difference Guided Beam Search
A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search
Huijun Liu
Jie Yu
Shasha Li
Jun Ma
Bin Ji
AAML
38
1
0
17 Aug 2022
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation
  with Large Language Models
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
Hendrik Strobelt
Albert Webson
Victor Sanh
Benjamin Hoover
Johanna Beyer
Hanspeter Pfister
Alexander M. Rush
VLM
36
136
0
16 Aug 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification
USB: A Unified Semi-supervised Learning Benchmark for Classification
Yidong Wang
Hao Chen
Yue Fan
Wangbin Sun
R. Tao
...
T. Shinozaki
Bernt Schiele
Jindong Wang
Xingxu Xie
Yue Zhang
32
113
0
12 Aug 2022
Safety and Performance, Why not Both? Bi-Objective Optimized Model
  Compression toward AI Software Deployment
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment
Jie Zhu
Leye Wang
Xiao Han
40
9
0
11 Aug 2022
SpanDrop: Simple and Effective Counterfactual Learning for Long
  Sequences
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences
Peng Qi
Guangtao Wang
Jing Huang
24
0
0
03 Aug 2022
Few-shot Adaptation Works with UnpredicTable Data
Few-shot Adaptation Works with UnpredicTable Data
Jun Shern Chan
Michael Pieler
Jonathan Jao
Jérémy Scheurer
Ethan Perez
38
5
0
01 Aug 2022
Efficient NLP Model Finetuning via Multistage Data Filtering
Efficient NLP Model Finetuning via Multistage Data Filtering
Ouyang Xu
S. Ansari
F. Lin
Yangfeng Ji
45
2
0
28 Jul 2022
Architecture Augmentation for Performance Predictor Based on Graph
  Isomorphism
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism
Xiangning Xie
Yuqiao Liu
Yanan Sun
Mengjie Zhang
Kay Chen Tan
GNN
AI4CE
30
2
0
03 Jul 2022
Efficient Entity Candidate Generation for Low-Resource Languages
Efficient Entity Candidate Generation for Low-Resource Languages
Alberto García-Durán
Akhil Arora
Robert West
29
0
0
30 Jun 2022
Knowledge Graph Fusion for Language Model Fine-tuning
Knowledge Graph Fusion for Language Model Fine-tuning
Nimesh Bhana
Terence L van Zyl
19
0
0
21 Jun 2022
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection Benchmark
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
46
296
0
19 Jun 2022
A Unified Understanding of Deep NLP Models for Text Classification
A Unified Understanding of Deep NLP Models for Text Classification
Zhuguo Li
Xiting Wang
Weikai Yang
Jing Wu
Zhengyan Zhang
Zhiyuan Liu
Maosong Sun
Hui Zhang
Shixia Liu
VLM
38
30
0
19 Jun 2022
Towards Robust Ranker for Text Retrieval
Towards Robust Ranker for Text Retrieval
Yucheng Zhou
Tao Shen
Xiubo Geng
Chongyang Tao
Can Xu
Guodong Long
Binxing Jiao
Daxin Jiang
OOD
33
42
0
16 Jun 2022
Language Models are General-Purpose Interfaces
Language Models are General-Purpose Interfaces
Y. Hao
Haoyu Song
Li Dong
Shaohan Huang
Zewen Chi
Wenhui Wang
Shuming Ma
Furu Wei
MLLM
35
96
0
13 Jun 2022
Bridging the Gap Between Training and Inference of Bayesian Controllable
  Language Models
Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models
Han Liu
Bingning Wang
Ting Yao
Haijin Liang
Jianjin Xu
Xiaolin Hu
BDL
40
1
0
11 Jun 2022
Fooling Explanations in Text Classifiers
Fooling Explanations in Text Classifiers
Adam Ivankay
Ivan Girardi
Chiara Marchiori
P. Frossard
AAML
35
19
0
07 Jun 2022
CitySpec: An Intelligent Assistant System for Requirement Specification
  in Smart Cities
CitySpec: An Intelligent Assistant System for Requirement Specification in Smart Cities
Zirong Chen
Isaac Li
Haoxiang Zhang
S. Preum
John A. Stankovic
Meiyi Ma
16
8
0
07 Jun 2022
Annotation Error Detection: Analyzing the Past and Present for a More
  Coherent Future
Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future
Jan-Christoph Klie
Bonnie Webber
Iryna Gurevych
42
43
0
05 Jun 2022
Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A
  Study on Text Classification for African Languages
Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages
D. Zhu
Michael A. Hedderich
Fangzhou Zhai
David Ifeoluwa Adelani
Dietrich Klakow
NoLa
34
0
0
03 Jun 2022
On the Usefulness of Embeddings, Clusters and Strings for Text Generator
  Evaluation
On the Usefulness of Embeddings, Clusters and Strings for Text Generator Evaluation
Tiago Pimentel
Clara Meister
Ryan Cotterell
60
7
0
31 May 2022
Context-based Virtual Adversarial Training for Text Classification with
  Noisy Labels
Context-based Virtual Adversarial Training for Text Classification with Noisy Labels
Do-Myoung Lee
Yeachan Kim
Chang-gyun Seo
NoLa
21
2
0
29 May 2022
kNN-Prompt: Nearest Neighbor Zero-Shot Inference
kNN-Prompt: Nearest Neighbor Zero-Shot Inference
Weijia Shi
Julian Michael
Suchin Gururangan
Luke Zettlemoyer
RALM
VLM
29
32
0
27 May 2022
Eliciting and Understanding Cross-Task Skills with Task-Level
  Mixture-of-Experts
Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-Experts
Qinyuan Ye
Juan Zha
Xiang Ren
MoE
23
12
0
25 May 2022
Leveraging QA Datasets to Improve Generative Data Augmentation
Leveraging QA Datasets to Improve Generative Data Augmentation
Dheeraj Mekala
Tu Vu
Timo Schick
Jingbo Shang
29
18
0
25 May 2022
Learning a Better Initialization for Soft Prompts via Meta-Learning
Learning a Better Initialization for Soft Prompts via Meta-Learning
Yukun Huang
Kun Qian
Zhou Yu
VLM
68
9
0
25 May 2022
Enhancing Continual Learning with Global Prototypes: Counteracting
  Negative Representation Drift
Enhancing Continual Learning with Global Prototypes: Counteracting Negative Representation Drift
Xueying Bai
Jinghuan Shang
Yifan Sun
Niranjan Balasubramanian
CLL
35
1
0
24 May 2022
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