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. 1707.07328
  4. Cited By
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"

50 / 890 papers shown
Title
Detecting egregious responses in neural sequence-to-sequence models
Detecting egregious responses in neural sequence-to-sequence models
Tianxing He
James R. Glass
AAML
26
22
0
11 Sep 2018
Assessing Composition in Sentence Vector Representations
Assessing Composition in Sentence Vector Representations
Allyson Ettinger
Ahmed Elgohary
C. Phillips
Philip Resnik
CoGe
20
78
0
11 Sep 2018
Does it care what you asked? Understanding Importance of Verbs in Deep
  Learning QA System
Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System
Barbara Rychalska
Dominika Basaj
P. Biecek
Anna Wróblewska
15
9
0
11 Sep 2018
How much should you ask? On the question structure in QA systems
How much should you ask? On the question structure in QA systems
Dominika Basaj
Barbara Rychalska
P. Biecek
Anna Wróblewska
28
6
0
11 Sep 2018
Multilingual Extractive Reading Comprehension by Runtime Machine
  Translation
Multilingual Extractive Reading Comprehension by Runtime Machine Translation
Akari Asai
Akiko Eriguchi
Kazuma Hashimoto
Yoshimasa Tsuruoka
13
61
0
10 Sep 2018
How clever is the FiLM model, and how clever can it be?
How clever is the FiLM model, and how clever can it be?
A. Kuhnle
Huiyuan Xie
Ann A. Copestake
22
6
0
09 Sep 2018
Explicit Contextual Semantics for Text Comprehension
Explicit Contextual Semantics for Text Comprehension
Zhuosheng Zhang
Yuwei Wu
Z. Li
Hai Zhao
26
29
0
08 Sep 2018
Trick Me If You Can: Human-in-the-loop Generation of Adversarial
  Examples for Question Answering
Trick Me If You Can: Human-in-the-loop Generation of Adversarial Examples for Question Answering
Eric Wallace
Pedro Rodriguez
Shi Feng
Ikuya Yamada
Jordan L. Boyd-Graber
AAML
23
18
0
07 Sep 2018
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural
  Computer
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer
Alvin Chan
Lei Ma
Felix Juefei Xu
Xiaofei Xie
Yang Liu
Yew-Soon Ong
OOD
AAML
14
17
0
07 Sep 2018
Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue
  Models
Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models
Tong Niu
Joey Tianyi Zhou
AAML
21
85
0
06 Sep 2018
Improving Question Answering by Commonsense-Based Pre-Training
Improving Question Answering by Commonsense-Based Pre-Training
Wanjun Zhong
Duyu Tang
N. Duan
Ming Zhou
Jiahai Wang
Jian Yin
NAI
LRM
ReLM
18
62
0
05 Sep 2018
A3Net: Adversarial-and-Attention Network for Machine Reading
  Comprehension
A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension
Jiuniu Wang
Xingyu Fu
Guangluan Xu
Yirong Wu
Ziyan Chen
Yang Wei
Li Jin
AIMat
14
2
0
03 Sep 2018
Nightmare at test time: How punctuation prevents parsers from
  generalizing
Nightmare at test time: How punctuation prevents parsers from generalizing
Anders Søgaard
Miryam de Lhoneux
Isabelle Augenstein
6
9
0
31 Aug 2018
Retrieve-and-Read: Multi-task Learning of Information Retrieval and
  Reading Comprehension
Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension
Kyosuke Nishida
Itsumi Saito
Atsushi Otsuka
Hisako Asano
J. Tomita
27
51
0
31 Aug 2018
What Makes Reading Comprehension Questions Easier?
What Makes Reading Comprehension Questions Easier?
Saku Sugawara
Kentaro Inui
Satoshi Sekine
Akiko Aizawa
23
117
0
28 Aug 2018
Comparing Attention-based Convolutional and Recurrent Neural Networks:
  Success and Limitations in Machine Reading Comprehension
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
Matthias Blohm
Glorianna Jagfeld
Ekta Sood
Xiang Yu
Ngoc Thang Vu
21
54
0
27 Aug 2018
Adversarially Regularising Neural NLI Models to Integrate Logical
  Background Knowledge
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini
Sebastian Riedel
AAML
NAI
GAN
13
118
0
26 Aug 2018
Attention-Guided Answer Distillation for Machine Reading Comprehension
Attention-Guided Answer Distillation for Machine Reading Comprehension
Minghao Hu
Yuxing Peng
Furu Wei
Zhen Huang
Dongsheng Li
Nan Yang
M. Zhou
FaML
21
75
0
23 Aug 2018
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning
  Detection
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
Xiao Chen
Chaoran Li
Derui Wang
S. Wen
Jun Zhang
Surya Nepal
Yang Xiang
K. Ren
AAML
21
241
0
10 Aug 2018
Motivating the Rules of the Game for Adversarial Example Research
Motivating the Rules of the Game for Adversarial Example Research
Justin Gilmer
Ryan P. Adams
Ian Goodfellow
David G. Andersen
George E. Dahl
AAML
50
226
0
18 Jul 2018
Adaptive Adversarial Attack on Scene Text Recognition
Adaptive Adversarial Attack on Scene Text Recognition
Xiaoyong Yuan
Pan He
Xiaolin Li
Dapeng Oliver Wu
AAML
17
23
0
09 Jul 2018
Getting the subtext without the text: Scalable multimodal sentiment
  classification from visual and acoustic modalities
Getting the subtext without the text: Scalable multimodal sentiment classification from visual and acoustic modalities
Nathaniel Blanchard
Daniel Moreira
Aparna Bharati
Walter J. Scheirer
24
16
0
03 Jul 2018
Learning Visually-Grounded Semantics from Contrastive Adversarial
  Samples
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples
Freda Shi
Jiayuan Mao
Tete Xiao
Yuning Jiang
Jian Sun
ObjD
15
51
0
27 Jun 2018
On Adversarial Examples for Character-Level Neural Machine Translation
On Adversarial Examples for Character-Level Neural Machine Translation
J. Ebrahimi
Daniel Lowd
Dejing Dou
AAML
22
216
0
23 Jun 2018
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations
T. Tanay
Jerone T. A. Andrews
Lewis D. Griffin
18
7
0
19 Jun 2018
Know What You Don't Know: Unanswerable Questions for SQuAD
Know What You Don't Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar
Robin Jia
Percy Liang
RALM
ELM
52
2,790
0
11 Jun 2018
Training Augmentation with Adversarial Examples for Robust Speech
  Recognition
Training Augmentation with Adversarial Examples for Robust Speech Recognition
Sining Sun
Ching-Feng Yeh
Mari Ostendorf
M. Hwang
Lei Xie
AAML
19
63
0
07 Jun 2018
Adversarial Attack on Graph Structured Data
Adversarial Attack on Graph Structured Data
H. Dai
Hui Li
Tian Tian
Xin Huang
L. Wang
Jun Zhu
Le Song
GNN
AAML
OOD
19
759
0
06 Jun 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance
  Benchmark
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark
Cody Coleman
Daniel Kang
Deepak Narayanan
Luigi Nardi
Tian Zhao
Jian Zhang
Peter Bailis
K. Olukotun
Christopher Ré
Matei A. Zaharia
13
117
0
04 Jun 2018
Stress Test Evaluation for Natural Language Inference
Stress Test Evaluation for Natural Language Inference
Aakanksha Naik
Abhilasha Ravichander
Norman M. Sadeh
Carolyn Rose
Graham Neubig
ELM
34
370
0
02 Jun 2018
Explaining Explanations: An Overview of Interpretability of Machine
  Learning
Explaining Explanations: An Overview of Interpretability of Machine Learning
Leilani H. Gilpin
David Bau
Ben Z. Yuan
Ayesha Bajwa
Michael A. Specter
Lalana Kagal
XAI
40
1,840
0
31 May 2018
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for
  Discrete Data
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
Puyudi Yang
Jianbo Chen
Cho-Jui Hsieh
Jane-ling Wang
Michael I. Jordan
AAML
SILM
14
115
0
31 May 2018
Visual Referring Expression Recognition: What Do Systems Actually Learn?
Visual Referring Expression Recognition: What Do Systems Actually Learn?
Volkan Cirik
Louis-Philippe Morency
Taylor Berg-Kirkpatrick
28
63
0
30 May 2018
Efficient and Robust Question Answering from Minimal Context over
  Documents
Efficient and Robust Question Answering from Minimal Context over Documents
Sewon Min
Victor Zhong
R. Socher
Caiming Xiong
AAML
20
163
0
21 May 2018
Tracking State Changes in Procedural Text: A Challenge Dataset and
  Models for Process Paragraph Comprehension
Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension
Bhavana Dalvi
Lifu Huang
Niket Tandon
Wen-tau Yih
Peter Clark
AI4TS
16
134
0
17 May 2018
Did the Model Understand the Question?
Did the Model Understand the Question?
Pramod Kaushik Mudrakarta
Ankur Taly
Mukund Sundararajan
Kedar Dhamdhere
ELM
OOD
FAtt
27
196
0
14 May 2018
AdvEntuRe: Adversarial Training for Textual Entailment with
  Knowledge-Guided Examples
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
Dongyeop Kang
Tushar Khot
Ashish Sabharwal
Eduard H. Hovy
GAN
16
84
0
12 May 2018
Behavior Analysis of NLI Models: Uncovering the Influence of Three
  Factors on Robustness
Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness
V. Carmona
Jeff Mitchell
Sebastian Riedel
24
44
0
11 May 2018
Towards Inference-Oriented Reading Comprehension: ParallelQA
Towards Inference-Oriented Reading Comprehension: ParallelQA
Soumya Wadhwa
Varsha Embar
Matthias Grabmair
Eric Nyberg
9
9
0
10 May 2018
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Motoki Sato
Jun Suzuki
Hiroyuki Shindo
Yuji Matsumoto
16
188
0
08 May 2018
Breaking NLI Systems with Sentences that Require Simple Lexical
  Inferences
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences
Max Glockner
Vered Shwartz
Yoav Goldberg
NAI
33
365
0
06 May 2018
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer
  Verification
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification
Yizhong Wang
Kai-Chun Liu
Jing Liu
W. He
Yajuan Lyu
Hua Wu
Sujian Li
Haifeng Wang
23
117
0
06 May 2018
Adversarially Robust Generalization Requires More Data
Adversarially Robust Generalization Requires More Data
Ludwig Schmidt
Shibani Santurkar
Dimitris Tsipras
Kunal Talwar
A. Madry
OOD
AAML
23
784
0
30 Apr 2018
Weaver: Deep Co-Encoding of Questions and Documents for Machine Reading
Weaver: Deep Co-Encoding of Questions and Documents for Machine Reading
Martin Raison
Pierre-Emmanuel Mazaré
Rajarshi Das
Antoine Bordes
RALM
25
19
0
27 Apr 2018
Towards Fast Computation of Certified Robustness for ReLU Networks
Towards Fast Computation of Certified Robustness for ReLU Networks
Tsui-Wei Weng
Huan Zhang
Hongge Chen
Zhao Song
Cho-Jui Hsieh
Duane S. Boning
Inderjit S. Dhillon
Luca Daniel
AAML
33
686
0
25 Apr 2018
QANet: Combining Local Convolution with Global Self-Attention for
  Reading Comprehension
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Adams Wei Yu
David Dohan
Minh-Thang Luong
Rui Zhao
Kai Chen
Mohammad Norouzi
Quoc V. Le
RALM
AIMat
35
1,091
0
23 Apr 2018
Reduce, Reuse, Recycle: New uses for old QA resources
Reduce, Reuse, Recycle: New uses for old QA resources
Jeff Mitchell
Sebastian Riedel
10
0
0
22 Apr 2018
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
245
915
0
21 Apr 2018
DuoRC: Towards Complex Language Understanding with Paraphrased Reading
  Comprehension
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension
Amrita Saha
Rahul Aralikatte
Mitesh M. Khapra
Karthik Sankaranarayanan
26
194
0
21 Apr 2018
Pathologies of Neural Models Make Interpretations Difficult
Pathologies of Neural Models Make Interpretations Difficult
Shi Feng
Eric Wallace
Alvin Grissom II
Mohit Iyyer
Pedro Rodriguez
Jordan L. Boyd-Graber
AAML
FAtt
13
317
0
20 Apr 2018
Previous
123...161718
Next