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Adversarial Examples for Evaluating Reading Comprehension Systems

Adversarial Examples for Evaluating Reading Comprehension Systems

23 July 2017
Robin Jia
Percy Liang
    AAML
    ELM
ArXivPDFHTML

Papers citing "Adversarial Examples for Evaluating Reading Comprehension Systems"

40 / 890 papers shown
Title
Robust Machine Comprehension Models via Adversarial Training
Robust Machine Comprehension Models via Adversarial Training
Yicheng Wang
Joey Tianyi Zhou
AAML
20
117
0
17 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
196
711
0
17 Apr 2018
What Happened? Leveraging VerbNet to Predict the Effects of Actions in
  Procedural Text
What Happened? Leveraging VerbNet to Predict the Effects of Actions in Procedural Text
Peter Clark
Bhavana Dalvi
Niket Tandon
13
27
0
15 Apr 2018
Adversarial Attacks Against Medical Deep Learning Systems
Adversarial Attacks Against Medical Deep Learning Systems
S. G. Finlayson
Hyung Won Chung
I. Kohane
Andrew L. Beam
SILM
AAML
OOD
MedIm
17
229
0
15 Apr 2018
The Web as a Knowledge-base for Answering Complex Questions
The Web as a Knowledge-base for Answering Complex Questions
Alon Talmor
Jonathan Berant
27
557
0
18 Mar 2018
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning
  Challenge
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Peter Clark
Isaac Cowhey
Oren Etzioni
Tushar Khot
Ashish Sabharwal
Carissa Schoenick
Oyvind Tafjord
ELM
RALM
LRM
11
2,281
0
14 Mar 2018
Defending against Adversarial Attack towards Deep Neural Networks via
  Collaborative Multi-task Training
Defending against Adversarial Attack towards Deep Neural Networks via Collaborative Multi-task Training
Derui Wang
Chaoran Li
S. Wen
Surya Nepal
Yang Xiang
AAML
33
29
0
14 Mar 2018
Detecting Adversarial Examples via Neural Fingerprinting
Detecting Adversarial Examples via Neural Fingerprinting
Sumanth Dathathri
Stephan Zheng
Tianwei Yin
Richard M. Murray
Yisong Yue
MLAU
AAML
33
0
0
11 Mar 2018
The Importance of Being Recurrent for Modeling Hierarchical Structure
The Importance of Being Recurrent for Modeling Hierarchical Structure
Ke M. Tran
Arianna Bisazza
Christof Monz
24
150
0
09 Mar 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
33
1,157
0
06 Mar 2018
Adversarial Extreme Multi-label Classification
Adversarial Extreme Multi-label Classification
Rohit Babbar
Bernhard Schölkopf
21
16
0
05 Mar 2018
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with
  Adversarial Examples
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples
Minhao Cheng
Jinfeng Yi
Pin-Yu Chen
Huan Zhang
Cho-Jui Hsieh
SILM
AAML
32
241
0
03 Mar 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
J. Uesato
Brendan O'Donoghue
Aaron van den Oord
Pushmeet Kohli
AAML
22
596
0
15 Feb 2018
Fooling OCR Systems with Adversarial Text Images
Fooling OCR Systems with Adversarial Text Images
Congzheng Song
Vitaly Shmatikov
AAML
30
51
0
15 Feb 2018
Identify Susceptible Locations in Medical Records via Adversarial
  Attacks on Deep Predictive Models
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models
Mengying Sun
Fengyi Tang
Jinfeng Yi
Fei Wang
Jiayu Zhou
AAML
OOD
MedIm
18
61
0
13 Feb 2018
Tunneling Neural Perception and Logic Reasoning through Abductive
  Learning
Tunneling Neural Perception and Logic Reasoning through Abductive Learning
Wang-Zhou Dai
Qiu-Ling Xu
Yang Yu
Zhi-Hua Zhou
LRM
AI4CE
24
22
0
04 Feb 2018
Analyzing Language Learned by an Active Question Answering Agent
Analyzing Language Learned by an Active Question Answering Agent
Christian Buck
Jannis Bulian
Massimiliano Ciaramita
Wojciech Gajewski
Andrea Gesmundo
N. Houlsby
Wei Wang
LLMAG
13
5
0
23 Jan 2018
Adversarial Texts with Gradient Methods
Zhitao Gong
Wenlu Wang
Yangqiu Song
D. Song
Wei-Shinn Ku
AAML
18
77
0
22 Jan 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini
D. Wagner
AAML
21
1,072
0
05 Jan 2018
Deep Learning: A Critical Appraisal
Deep Learning: A Critical Appraisal
G. Marcus
HAI
VLM
25
1,034
0
02 Jan 2018
Mapping to Declarative Knowledge for Word Problem Solving
Mapping to Declarative Knowledge for Word Problem Solving
Subhro Roy
Dan Roth
ReLM
AIMat
14
102
0
26 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep Learning
Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan
Pan He
Qile Zhu
Xiaolin Li
SILM
AAML
22
1,605
0
19 Dec 2017
HotFlip: White-Box Adversarial Examples for Text Classification
HotFlip: White-Box Adversarial Examples for Text Classification
J. Ebrahimi
Anyi Rao
Daniel Lowd
Dejing Dou
AAML
13
78
0
19 Dec 2017
DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example
  Generation
DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example Generation
Catherine Wong
AAML
SILM
GAN
10
31
0
14 Dec 2017
Contextualized Word Representations for Reading Comprehension
Contextualized Word Representations for Reading Comprehension
Shimi Salant
Jonathan Berant
25
41
0
10 Dec 2017
Stochastic Answer Networks for Machine Reading Comprehension
Stochastic Answer Networks for Machine Reading Comprehension
Xiaodong Liu
Yelong Shen
Kevin Duh
Jianfeng Gao
RALM
8
197
0
10 Dec 2017
Ethical Challenges in Data-Driven Dialogue Systems
Ethical Challenges in Data-Driven Dialogue Systems
Peter Henderson
Koustuv Sinha
Nicolas Angelard-Gontier
Nan Rosemary Ke
G. Fried
Ryan J. Lowe
Joelle Pineau
37
168
0
24 Nov 2017
FusionNet: Fusing via Fully-Aware Attention with Application to Machine
  Comprehension
FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension
Hsin-Yuan Huang
Chenguang Zhu
Yelong Shen
Weizhu Chen
FedML
30
183
0
16 Nov 2017
DuReader: a Chinese Machine Reading Comprehension Dataset from
  Real-world Applications
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications
Wei He
Kai Liu
Jing Liu
Yajuan Lyu
Shiqi Zhao
...
Hua-Hong Wu
Qiaoqiao She
Xuan Liu
Tian Wu
Haifeng Wang
RALM
36
274
0
14 Nov 2017
Robust Multilingual Part-of-Speech Tagging via Adversarial Training
Robust Multilingual Part-of-Speech Tagging via Adversarial Training
Michihiro Yasunaga
Jungo Kasai
Dragomir R. Radev
13
104
0
14 Nov 2017
Synthetic and Natural Noise Both Break Neural Machine Translation
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov
Yonatan Bisk
30
735
0
06 Nov 2017
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GAN
AAML
38
596
0
31 Oct 2017
Simple and Effective Multi-Paragraph Reading Comprehension
Simple and Effective Multi-Paragraph Reading Comprehension
Christopher Clark
Matt Gardner
RALM
18
454
0
29 Oct 2017
Constructing Datasets for Multi-hop Reading Comprehension Across
  Documents
Constructing Datasets for Multi-hop Reading Comprehension Across Documents
Johannes Welbl
Pontus Stenetorp
Sebastian Riedel
SyDa
RALM
16
507
0
17 Oct 2017
Fooling Vision and Language Models Despite Localization and Attention
  Mechanism
Fooling Vision and Language Models Despite Localization and Attention Mechanism
Xiaojun Xu
Xinyun Chen
Chang-rui Liu
Anna Rohrbach
Trevor Darrell
D. Song
AAML
8
41
0
25 Sep 2017
Deep learning evaluation using deep linguistic processing
Deep learning evaluation using deep linguistic processing
A. Kuhnle
Ann A. Copestake
ELM
23
11
0
05 Jun 2017
Ask the Right Questions: Active Question Reformulation with
  Reinforcement Learning
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
Christian Buck
Jannis Bulian
Massimiliano Ciaramita
Wojciech Gajewski
Andrea Gesmundo
N. Houlsby
Wei Wang
17
165
0
22 May 2017
Reinforced Mnemonic Reader for Machine Reading Comprehension
Reinforced Mnemonic Reader for Machine Reading Comprehension
Minghao Hu
Yuxing Peng
Zhen Huang
Xipeng Qiu
Furu Wei
Ming Zhou
RALM
AIMat
19
69
0
08 May 2017
Deep Text Classification Can be Fooled
Deep Text Classification Can be Fooled
Bin Liang
Hongcheng Li
Miaoqiang Su
Pan Bian
Xirong Li
Wenchang Shi
AAML
14
420
0
26 Apr 2017
Ruminating Reader: Reasoning with Gated Multi-Hop Attention
Ruminating Reader: Reasoning with Gated Multi-Hop Attention
Yichen Gong
Samuel R. Bowman
24
46
0
24 Apr 2017
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