| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # train-augment, arch-rnn, arch-lstm, arch-bilstm, pre-bert, struct-hmm, adv-examp, adv-train, task-spanlab, task-lm, task-seq2seq | 6 | Combating Adversarial Misspellings with Robust Word Recognition | Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton | https://www.aclweb.org/anthology/P19-1561.pdf |
| 2019 | ACL | # reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-cnn, arch-att, arch-subword, arch-transformer, adv-examp, task-textclass, task-lm, task-seq2seq | 6 | Robust Neural Machine Translation with Doubly Adversarial Inputs | Yong Cheng, Lu Jiang, Wolfgang Macherey | https://www.aclweb.org/anthology/P19-1425.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, pre-bert, adv-examp, latent-vae, task-spanlab, task-seq2seq | 3 | Learning to Ask Unanswerable Questions for Machine Reading Comprehension | Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu | https://www.aclweb.org/anthology/P19-1415.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, train-augment, arch-lstm, arch-att, arch-subword, arch-transformer, adv-examp, task-seq2seq | 5 | Robust Neural Machine Translation with Joint Textual and Phonetic Embedding | Hairong Liu, Mingbo Ma, Liang Huang, Hao Xiong, Zhongjun He | https://www.aclweb.org/anthology/P19-1291.pdf |
| 2019 | ACL | # train-mtl, pool-max, arch-lstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-coverage, pre-fasttext, pre-glove, adv-examp, task-textclass, task-textpair, task-lm, task-tree | 10 | Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications | Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang | https://www.aclweb.org/anthology/P19-1150.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, adv-examp, task-textclass, task-seq2seq | 2 | On the Robustness of Self-Attentive Models | Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh | https://www.aclweb.org/anthology/P19-1147.pdf |
| 2019 | ACL | # optim-sgd, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, search-beam, adv-examp, task-lm, task-condlm, task-seq2seq | 1 | TIGS: An Inference Algorithm for Text Infilling with Gradient Search | Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv | https://www.aclweb.org/anthology/P19-1406.pdf |
| 2019 | ACL | # optim-adam, comb-ensemble, pre-bert, adv-examp, task-textpair, task-spanlab, task-seq2seq | 3 | Misleading Failures of Partial-input Baselines | Shi Feng, Eric Wallace, Jordan Boyd-Graber | https://www.aclweb.org/anthology/P19-1554.pdf |
| 2019 | ACL | # train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, pre-glove, adv-examp, adv-train, task-textclass | 68 | Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency | Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che | https://www.aclweb.org/anthology/P19-1103.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-paravec, pre-bert, adv-examp, task-spanlab | 2 | Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension | Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li | https://www.aclweb.org/anthology/P19-1221.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-elmo, pre-bert, adv-examp, task-spanlab, task-seq2seq, task-alignment | 1 | Improving the Robustness of Question Answering Systems to Question Paraphrasing | Wee Chung Gan, Hwee Tou Ng | https://www.aclweb.org/anthology/P19-1610.pdf |
| 2019 | ACL | # train-transfer, arch-coverage, pre-word2vec, adv-examp, latent-topic, loss-nce, task-textclass, task-textpair | 1 | SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference | Martin Schmitt, Hinrich Schütze | https://www.aclweb.org/anthology/P19-1086.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-bert, adv-examp, adv-train, latent-vae, task-textclass, task-textpair, task-seq2seq | 0 | Soft Representation Learning for Sparse Transfer | Haeju Park, Jinyoung Yeo, Gengyu Wang, Seung-won Hwang | https://www.aclweb.org/anthology/P19-1151.pdf |
| 2019 | ACL | # optim-adam, optim-projection, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-gating, arch-memo, pre-glove, adv-examp, adv-train, task-spanlab | 2 | Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA | Yichen Jiang, Mohit Bansal | https://www.aclweb.org/anthology/P19-1262.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-glove, pre-bert, adv-examp, adv-train, task-textpair | 17 | Probing Neural Network Comprehension of Natural Language Arguments | Timothy Niven, Hung-Yu Kao | https://www.aclweb.org/anthology/P19-1459.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, arch-lstm, arch-bilstm, arch-att, pre-glove, adv-examp, adv-train, task-textpair, task-lm | 3 | Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference | Yonatan Belinkov, Adam Poliak, Stuart Shieber, Benjamin Van Durme, Alexander Rush | https://www.aclweb.org/anthology/P19-1084.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-patience, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, adv-examp, latent-vae, task-lm, task-condlm, task-seq2seq | 0 | Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation | Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun | https://www.aclweb.org/anthology/P19-1197.pdf |
| 2019 | ACL | # arch-lstm, arch-att, adv-examp, adv-train, task-textclass, task-textpair, task-lm | 2 | Generating Fluent Adversarial Examples for Natural Languages | Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li | https://www.aclweb.org/anthology/P19-1559.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, adv-examp, task-textclass, task-textpair, task-lm | 14 | HellaSwag: Can a Machine Really Finish Your Sentence? | Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi | https://www.aclweb.org/anthology/P19-1472.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, norm-gradient, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, struct-crf, adv-examp, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq | 5 | Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition | Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok | https://www.aclweb.org/anthology/P19-1336.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, adv-examp, adv-train, task-textclass, task-seq2seq | 1 | Effective Adversarial Regularization for Neural Machine Translation | Motoki Sato, Jun Suzuki, Shun Kiyono | https://www.aclweb.org/anthology/P19-1020.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, init-glorot, reg-dropout, reg-patience, train-mtl, train-mll, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-gating, search-viterbi, pre-glove, struct-crf, adv-examp, task-seqlab, task-lm, task-seq2seq | 1 | Sentiment Tagging with Partial Labels using Modular Architectures | Xiao Zhang, Dan Goldwasser | https://www.aclweb.org/anthology/P19-1055.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-elmo, pre-bert, adv-examp, task-textclass, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models | Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh | https://www.aclweb.org/anthology/D19-3002.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-selfatt, comb-ensemble, pre-bert, adv-examp, task-spanlab | 0 | QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization | Yi-Ting Yeh, Yun-Nung Chen | https://www.aclweb.org/anthology/D19-1333.pdf |
| 2019 | EMNLP | # optim-adam, train-augment, arch-cnn, arch-att, arch-selfatt, pre-glove, adv-examp, adv-train, task-textclass, task-seqlab, task-lm | 2 | Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation | Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli | https://www.aclweb.org/anthology/D19-1419.pdf |
| 2019 | EMNLP | # optim-adam, arch-transformer, pre-elmo, adv-examp, task-textclass, task-textpair, task-spanlab | 0 | Evaluating adversarial attacks against multiple fact verification systems | James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal | https://www.aclweb.org/anthology/D19-1292.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-att, adv-examp, adv-train, task-condlm, task-seq2seq | 8 | Attention is not not Explanation | Sarah Wiegreffe, Yuval Pinter | https://www.aclweb.org/anthology/D19-1002.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-gru, arch-att, arch-bilinear, adv-examp, task-lm, task-condlm, task-seq2seq | 0 | TIGEr: Text-to-Image Grounding for Image Caption Evaluation | Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao | https://www.aclweb.org/anthology/D19-1220.pdf |
| 2019 | EMNLP | # train-augment, arch-transformer, adv-examp, task-textpair, task-condlm, task-seq2seq | 0 | Polly Want a Cracker: Analyzing Performance of Parroting on Paraphrase Generation Datasets | Hong-Ren Mao, Hung-Yi Lee | https://www.aclweb.org/anthology/D19-1611.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-bert, adv-examp, latent-vae, task-textclass, task-lm, task-seq2seq, task-relation | 0 | Latent-Variable Generative Models for Data-Efficient Text Classification | Xiaoan Ding, Kevin Gimpel | https://www.aclweb.org/anthology/D19-1048.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, reg-patience, train-transfer, train-active, arch-lstm, arch-bilstm, comb-ensemble, pre-glove, pre-elmo, adv-examp, adv-train, task-lm | 0 | To Annotate or Not? Predicting Performance Drop under Domain Shift | Hady Elsahar, Matthias Gallé | https://www.aclweb.org/anthology/D19-1222.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-bert, adv-examp, task-textpair, task-spanlab, task-lm, task-seq2seq, task-tree | 2 | CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text | Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton | https://www.aclweb.org/anthology/D19-1458.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-stopping, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-glove, adv-examp, adv-train, task-textpair, task-lm, task-seq2seq | 2 | Certified Robustness to Adversarial Word Substitutions | Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang | https://www.aclweb.org/anthology/D19-1423.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-augment, arch-att, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, adv-examp, adv-train, task-textclass, task-lm, task-cloze | 1 | Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification | Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang | https://www.aclweb.org/anthology/D19-1496.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-examp, adv-train, task-textpair, task-lm | 0 | A Logic-Driven Framework for Consistency of Neural Models | Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar | https://www.aclweb.org/anthology/D19-1405.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-glove, adv-examp, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Detecting and Reducing Bias in a High Stakes Domain | Ruiqi Zhong, Yanda Chen, Desmond Patton, Charlotte Selous, Kathy McKeown | https://www.aclweb.org/anthology/D19-1483.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-lstm, arch-bilstm, arch-cnn, nondif-reinforce, adv-examp, task-textclass, task-seq2seq | 0 | Adversarial Reprogramming of Text Classification Neural Networks | Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar | https://www.aclweb.org/anthology/D19-1525.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, reg-stopping, train-mll, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-transformer, pre-bert, adv-examp, adv-train, task-textclass, task-lm, task-seq2seq | 0 | LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification | Jingjing Xu, Liang Zhao, Hanqi Yan, Qi Zeng, Yun Liang, Xu Sun | https://www.aclweb.org/anthology/D19-1554.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, pre-word2vec, pre-glove, pre-elmo, adv-examp, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq | 8 | Universal Adversarial Triggers for Attacking and Analyzing NLP | Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh | https://www.aclweb.org/anthology/D19-1221.pdf |
| 2019 | EMNLP | # train-mll, arch-lstm, arch-bilstm, arch-transformer, pre-fasttext, pre-bert, adv-examp, task-textpair, task-condlm, task-seq2seq | 1 | PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification | Yinfei Yang, Yuan Zhang, Chris Tar, Jason Baldridge | https://www.aclweb.org/anthology/D19-1382.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-cnn, pre-fasttext, pre-glove, pre-bert, adv-examp, adv-train, task-textclass, task-spanlab, task-seq2seq | 3 | Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack | Emily Dinan, Samuel Humeau, Bharath Chintagunta, Jason Weston | https://www.aclweb.org/anthology/D19-1461.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-att, comb-ensemble, adv-examp, task-textclass, task-seq2seq | 1 | Mitigating Uncertainty in Document Classification | Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan | https://www.aclweb.org/anthology/N19-1316.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, pre-bert, adv-examp, adv-train, task-textclass, task-condlm, task-seq2seq | 3 | Adversarial Training for Weakly Supervised Event Detection | Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li | https://www.aclweb.org/anthology/N19-1105.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-subword, pre-fasttext, pre-glove, adv-examp, task-seq2seq | 5 | Neural Machine Translation of Text from Non-Native Speakers | Antonios Anastasopoulos, Alison Lui, Toan Q. Nguyen, David Chiang | https://www.aclweb.org/anthology/N19-1311.pdf |
| 2019 | NAA-CL | # reg-dropout, reg-stopping, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-beam, search-viterbi, pre-word2vec, pre-glove, struct-crf, adv-examp, task-seqlab, task-lm, task-seq2seq | 1 | Benchmarking Approximate Inference Methods for Neural Structured Prediction | Lifu Tu, Kevin Gimpel | https://www.aclweb.org/anthology/N19-1335.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, reg-stopping, norm-gradient, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-fasttext, pre-elmo, struct-crf, adv-examp, adv-train, task-textclass, task-lm, task-condlm | 3 | Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems | Steffen Eger, Gözde Gül Şahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych | https://www.aclweb.org/anthology/N19-1165.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-att, adv-examp, task-lm, task-seq2seq, task-relation | 0 | Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples | Krtin Kumar, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/N19-1396.pdf |
| 2019 | NAA-CL | # adv-examp | 1 | Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications | Pouya Pezeshkpour, Yifan Tian, Sameer Singh | https://www.aclweb.org/anthology/N19-1337.pdf |
| 2019 | NAA-CL | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, search-beam, pre-glove, pre-elmo, pre-bert, struct-crf, adv-examp, task-textpair, task-lm, task-condlm, task-seq2seq, task-alignment | 9 | PAWS: Paraphrase Adversaries from Word Scrambling | Yuan Zhang, Jason Baldridge, Luheng He | https://www.aclweb.org/anthology/N19-1131.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-coverage, adv-examp, task-textclass, task-textpair, task-spanlab, task-seq2seq | 10 | Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets | Nelson F. Liu, Roy Schwartz, Noah A. Smith | https://www.aclweb.org/anthology/N19-1225.pdf |