Improving Neural Language Modeling via Adversarial Training

10 June 2019

Papers citing "Improving Neural Language Modeling via Adversarial Training"

22 / 22 papers shown

Title
Benchmarking Robustness in Neural Radiance Fields Chen Wang Angtian Wang Junbo Li Alan Yuille Cihang Xie 44 11 0 10 Jan 2023
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh V. Chawla 47 14 0 22 Aug 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations Tianlong Chen Peihao Wang Zhiwen Fan Zhangyang Wang 36 55 0 04 Jul 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images Tom Ron M. Weiler-Sagie Tamir Hazan FAtt MedIm 27 6 0 06 Jun 2022
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation Haoran Xu Benjamin Van Durme Kenton W. Murray 50 57 0 09 Sep 2021
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings Sangwon Yu Jongyoon Song Heeseung Kim SeongEun Lee Woo-Jong Ryu Sung-Hoon Yoon 19 31 0 07 Sep 2021
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation Bingqian Lin Yi Zhu Yanxin Long Xiaodan Liang QiXiang Ye Liang Lin AAML 39 16 0 23 Jul 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 36 334 0 07 Jul 2021
Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations César Quilodrán-Casas Rossella Arcucci Laetitia Mottet Yike Guo Christopher C. Pain AI4CE 25 8 0 13 Apr 2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost Zhen Wu Lijun Wu Qi Meng Yingce Xia Shufang Xie Tao Qin Xinyu Dai Tie-Yan Liu 18 22 0 11 Apr 2021
Adversarially trained LSTMs on reduced order models of urban air pollution simulations César Quilodrán-Casas Rossella Arcucci Christopher C. Pain Yike Guo 43 7 0 05 Jan 2021
Posterior Differential Regularization with f-divergence for Improving Model Robustness Hao Cheng Xiaodong Liu L. Pereira Yaoliang Yu Jianfeng Gao 248 31 0 23 Oct 2020
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models Thuy-Trang Vu Dinh Q. Phung Gholamreza Haffari 16 24 0 05 Oct 2020
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation Dinghan Shen Ming Zheng Yelong Shen Yanru Qu Weizhu Chen AAML 29 130 0 29 Sep 2020
Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches Juan Cruz-Benito Sanjay Vishwakarma Francisco Martín-Fernández Ismael Faro Ibm Quantum 22 30 0 16 Sep 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning Zhe Gan Yen-Chun Chen Linjie Li Chen Zhu Yu Cheng Jingjing Liu ObjD VLM 35 488 0 11 Jun 2020
Adversarial Training for Large Neural Language Models Xiaodong Liu Hao Cheng Pengcheng He Weizhu Chen Yu-Chiang Frank Wang Hoifung Poon Jianfeng Gao AAML 34 183 0 20 Apr 2020
Temporal Convolutional Attention-based Network For Sequence Modeling Hongyan Hao Yan Wang Siqiao Xue Yudi Xia Jian Zhao S. Furao 27 41 0 28 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training Chengyue Gong Tongzheng Ren Mao Ye Qiang Liu AAML 27 56 0 20 Feb 2020
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 20 1,420 0 02 Aug 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015