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1707.07328
Cited By
Adversarial Examples for Evaluating Reading Comprehension Systems
23 July 2017
Robin Jia
Abigail Z. Jacobs
AAML
ELM
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Papers citing
"Adversarial Examples for Evaluating Reading Comprehension Systems"
50 / 926 papers shown
What Makes Reading Comprehension Questions Easier?
Saku Sugawara
Kentaro Inui
Satoshi Sekine
Akiko Aizawa
206
124
0
28 Aug 2018
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
129
55
0
27 Aug 2018
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini
Sebastian Riedel
AAML
NAI
GAN
161
122
0
26 Aug 2018
Attention-Guided Answer Distillation for Machine Reading Comprehension
Minghao Hu
Yuxing Peng
Furu Wei
Zhen Huang
Dongsheng Li
Nan Yang
M. Zhou
FaML
259
76
0
23 Aug 2018
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
263
285
0
10 Aug 2018
Motivating the Rules of the Game for Adversarial Example Research
Justin Gilmer
Ryan P. Adams
Ian Goodfellow
David G. Andersen
George E. Dahl
AAML
257
237
0
18 Jul 2018
Adaptive Adversarial Attack on Scene Text Recognition
Conference on Computer Communications Workshops (INFOCOM), 2018
Xiaoyong Yuan
Pan He
Xiaolin Li
Dapeng Oliver Wu
AAML
176
25
0
09 Jul 2018
Getting the subtext without the text: Scalable multimodal sentiment classification from visual and acoustic modalities
Nathaniel Blanchard
Daniel Moreira
Aparna Bharati
Walter J. Scheirer
112
18
0
03 Jul 2018
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples
International Conference on Computational Linguistics (COLING), 2018
Freda Shi
Jiayuan Mao
Tete Xiao
Yuning Jiang
Jian Sun
ObjD
177
52
0
27 Jun 2018
On Adversarial Examples for Character-Level Neural Machine Translation
J. Ebrahimi
Daniel Lowd
Dejing Dou
AAML
173
230
0
23 Jun 2018
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations
T. Tanay
Jerone T. A. Andrews
Lewis D. Griffin
156
7
0
19 Jun 2018
Know What You Don't Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar
Robin Jia
Abigail Z. Jacobs
RALM
ELM
807
3,133
0
11 Jun 2018
Training Augmentation with Adversarial Examples for Robust Speech Recognition
Sining Sun
Ching-Feng Yeh
Mari Ostendorf
M. Hwang
Lei Xie
AAML
159
64
0
07 Jun 2018
Adversarial Attack on Graph Structured Data
H. Dai
Hui Li
Tian Tian
Xin Huang
L. Wang
Jun Zhu
Le Song
GNN
AAML
OOD
215
846
0
06 Jun 2018
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
227
122
0
04 Jun 2018
Stress Test Evaluation for Natural Language Inference
Aakanksha Naik
Abhilasha Ravichander
Norman M. Sadeh
Carolyn Rose
Graham Neubig
ELM
361
404
0
02 Jun 2018
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
1.1K
2,124
0
31 May 2018
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
Puyudi Yang
Jianbo Chen
Cho-Jui Hsieh
Jane-ling Wang
Sai Li
AAML
SILM
177
121
0
31 May 2018
Visual Referring Expression Recognition: What Do Systems Actually Learn?
Volkan Cirik
Louis-Philippe Morency
Taylor Berg-Kirkpatrick
130
66
0
30 May 2018
Efficient and Robust Question Answering from Minimal Context over Documents
Sewon Min
Victor Zhong
R. Socher
Caiming Xiong
AAML
241
168
0
21 May 2018
Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension
Bhavana Dalvi
Lifu Huang
Niket Tandon
Anuj Kumar
Peter Clark
AI4TS
242
139
0
17 May 2018
Did the Model Understand the Question?
Pramod Kaushik Mudrakarta
Ankur Taly
Mukund Sundararajan
Kedar Dhamdhere
ELM
OOD
FAtt
156
203
0
14 May 2018
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
Luan Tuyen Chau
Tushar Khot
Ashish Sabharwal
Eduard H. Hovy
GAN
120
86
0
12 May 2018
Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness
V. Carmona
Jeff Mitchell
Sebastian Riedel
164
45
0
11 May 2018
Towards Inference-Oriented Reading Comprehension: ParallelQA
Soumya Wadhwa
Varsha Embar
Matthias Grabmair
Eric Nyberg
130
9
0
10 May 2018
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Motoki Sato
Jun Suzuki
Hiroyuki Shindo
Yuji Matsumoto
150
206
0
08 May 2018
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences
Max Glockner
Vered Shwartz
Yoav Goldberg
NAI
425
385
0
06 May 2018
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
173
121
0
06 May 2018
Adversarially Robust Generalization Requires More Data
Ludwig Schmidt
Shibani Santurkar
Dimitris Tsipras
Kunal Talwar
Aleksander Madry
OOD
AAML
432
839
0
30 Apr 2018
Weaver: Deep Co-Encoding of Questions and Documents for Machine Reading
Martin Raison
Pierre-Emmanuel Mazaré
Rajarshi Das
Antoine Bordes
RALM
197
20
0
27 Apr 2018
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
337
732
0
25 Apr 2018
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
International Conference on Learning Representations (ICLR), 2018
Adams Wei Yu
David Dohan
Minh-Thang Luong
Rui Zhao
Kai Chen
Mohammad Norouzi
Quoc V. Le
RALM
AIMat
254
1,124
0
23 Apr 2018
Reduce, Reuse, Recycle: New uses for old QA resources
Jeff Mitchell
Sebastian Riedel
98
0
0
22 Apr 2018
Generating Natural Language Adversarial Examples
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
907
994
0
21 Apr 2018
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension
Annual Meeting of the Association for Computational Linguistics (ACL), 2018
Amrita Saha
Rahul Aralikatte
Mitesh M. Khapra
Karthik Sankaranarayanan
266
202
0
21 Apr 2018
Pathologies of Neural Models Make Interpretations Difficult
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
Shi Feng
Eric Wallace
Alvin Grissom II
Mohit Iyyer
Pedro Rodriguez
Jordan L. Boyd-Graber
AAML
FAtt
316
333
0
20 Apr 2018
Robust Machine Comprehension Models via Adversarial Training
Yicheng Wang
Joey Tianyi Zhou
AAML
141
122
0
17 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
639
762
0
17 Apr 2018
What Happened? Leveraging VerbNet to Predict the Effects of Actions in Procedural Text
Peter Clark
Bhavana Dalvi
Niket Tandon
168
27
0
15 Apr 2018
Adversarial Attacks Against Medical Deep Learning Systems
S. G. Finlayson
Hyung Won Chung
I. Kohane
Andrew L. Beam
SILM
AAML
OOD
MedIm
298
252
0
15 Apr 2018
The Web as a Knowledge-base for Answering Complex Questions
Alon Talmor
Jonathan Berant
424
703
0
18 Mar 2018
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
993
3,777
0
14 Mar 2018
Defending against Adversarial Attack towards Deep Neural Networks via Collaborative Multi-task Training
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2018
Derui Wang
Chaoran Li
S. Wen
Surya Nepal
Yang Xiang
AAML
252
35
0
14 Mar 2018
Detecting Adversarial Examples via Neural Fingerprinting
Sumanth Dathathri
Stephan Zheng
Tianwei Yin
Richard M. Murray
Yisong Yue
MLAU
AAML
163
0
0
11 Mar 2018
The Importance of Being Recurrent for Modeling Hierarchical Structure
Ke M. Tran
Arianna Bisazza
Christof Monz
220
153
0
09 Mar 2018
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
456
1,234
0
06 Mar 2018
Adversarial Extreme Multi-label Classification
Rohit Babbar
Bernhard Schölkopf
120
16
0
05 Mar 2018
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
422
257
0
03 Mar 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
J. Uesato
Brendan O'Donoghue
Aaron van den Oord
Pushmeet Kohli
AAML
578
636
0
15 Feb 2018
Fooling OCR Systems with Adversarial Text Images
Congzheng Song
Vitaly Shmatikov
AAML
110
53
0
15 Feb 2018
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