Feng Nan, Ramesh Nallapati, Zhiguo Wang and

Cicero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen McKeown, Bing Xiang

Keywords Abstract Paper

Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher

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assessing algorithms, natural inference, fact checking, auxiliary tasks

Jiawei Liu, Zhe Gao, Yangyang Kang and

Zhuoren Jiang, Guoxiu He, Changlong Sun, Xiaozhong Liu, Wei Lu

Keywords Abstract Paper

Yangming Li, Kaisheng Yao, Libo Qin and

Wanxiang Che, Xiaolong Li, Ting Liu

Keywords Abstract Paper

Task-oriented Systems, natural generation, natural NLG, NLG

Qitian Wu, Rui Gao, Hongyuan Zha

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generative model

Lianghao Xia, Chao Huang, Yong Xu and

Peng Dai, Bo Zhang, Liefeng Bo

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collaborative filtering, transformer network, recommendation, multi-behavior learning, deep neural networks

Zibo Lin, Deng Cai, Yan Wang and

Xiaojiang Liu, Haitao Zheng, Shuming Shi

Keywords Abstract Paper

response selection, retrieval-based systems, learning-to-rank problem, learning-to-rank

Gongfan Fang, Jie Song, Xinchao Wang and

Chengchao Shen, Xingen Wang, Mingli Song

Keywords Abstract Paper

Machine Learning, Deep Learning, Explainable/Interpretable Machine Learning, Transfer, Adaptation, Multi-task Learning

Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen

Keywords Abstract Paper

entity extraction, re-labeling instances, extraction tasks, re-labeling instance

Chang Liu, Xinwei Sun, Jindong Wang and

Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu

Keywords Abstract Paper

generative model, domain adaptation, representation learning

Xu Yuan, Hongshen Chen, Yonghao Song and

Xiaofang Zhao, Zhuoye Ding

Keywords Abstract Paper

Machine Learning, Recommender Systems, Recommender Systems

Linfeng Zhang, Muzhou Yu, Tong Chen and

Zuoqiang Shi, Chenglong Bao, Kaisheng Ma

Keywords Abstract Paper

model robustness, data augmentation, adversarial attack, training method, classification

Jing-Han Wu, Xuan Wu, Qing-Guo Chen and

Yao Hu, Min-Ling Zhang

Keywords Abstract Paper

multi-view, disambiguation, partial label learning, multi-label learning

Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

Keywords Abstract Paper

Ieva Staliūnaitė, Philip John Gorinski, Ignacio Iacobacci

Keywords Abstract Paper

Uma Roy, Noah Constant, Rami Al-Rfou and

Aditya Barua, Aaron Phillips, Yinfei Yang

Keywords Abstract Paper

language-agnostic retrieval, cross-lingual tasks, cross-lingual retrieval, alignment

Jiaao Chen, Zhenghui Wang, Ran Tian and

Zichao Yang, Diyi Yang

Keywords Abstract Paper

named recognition, deep understanding, semi-supervised ner, entity learning

Yichun Shi, Xiang Yu, Kihyuk Sohn and

Manmohan Chandraker, Anil K. Jain

Keywords Abstract Paper

face recognition, universal representation, data augmentation

Jingfeng Yang, Diyi Yang, Zhaoran Ma

Keywords Abstract Paper

disfluency detection, pretraining, data methods, augmentation approaches

Woohwan Jung, Kyuseok Shim

Keywords Abstract Paper

Hao Peng, Tianyu Gao, Xu Han and

Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou

Keywords Abstract Paper

relation benchmarks, re scenarios, neural models, re models

Yuxuan Han, Jiaolong Yang, Ying Fu

Keywords Abstract Paper

Computer Vision, 2D and 3D Computer Vision, Explainable/Interpretable Machine Learning

Tassilo Klein, Moin Nabi

Keywords Abstract Paper

Commonsense Reasoning, Pronoun problems, pronoun disambiguation, commonsense tasks

Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy (Dj) Dvijotham, Pushmeet Kohli

Keywords Abstract Paper

Adversarial Learning, Robust Representations, Variational AutoEncoder, Wasserstein Distance, Variational Inference

Deqing Yang, Zengchun Song, Lvxin Xue, Yanghua Xiao

Keywords Abstract Paper

knowledge graph, recommender system, attribute-level, co-attention

Bowen Qin, Min Yang, Lidong Bing and

Qingshan Jiang, Chengming Li, Ruifeng Xu

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Jongheon Jeong, Jinwoo Shin

Keywords Abstract Paper

visual representation learning, contrastive learning, unsupervised learning, data augmentation, generative adversarial networks

KAIXIN WANG, Bingyi Kang, Jie Shao, Jiashi Feng

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Ruiyi Zhang, Changyou Chen, Zhe Gan and

Zheng Wen, Wenlin Wang, Lawrence Carin

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Woon Sang Cho, Yizhe Zhang, Sudha Rao and

Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan

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Taesun Whang, Dongyub Lee, Dongsuk Oh and

Chanhee Lee, Kijong Han, Dong-hun Lee, Saebyeok Lee

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Zihao Fu, Bei Shi, Wai Lam and

Lidong Bing, Zhiyuan Liu

Keywords Abstract Paper

data-to-text task, generation task, dataset problem, over-generation problem

Masato Tamura, Tomoaki Yoshinaga

Keywords Abstract Paper

person re-identification, generalizable, soft label, knowledge distillation, Re-ID, domain generalization

Beliz Gunel, Jingfei Du, Alexis Conneau, Veselin Stoyanov

Keywords Abstract Paper

supervised contrastive learning, pre-trained language model fine-tuning, natural language understanding, generalization, few-shot learning, robustness

Trevor W. Richardson, Wencheng Wu, Lei Lin and

Beilei Xu, Edgar A. Bernal

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data imputation, alternating learning, normalizing flow models, explicit and tractable generative models, deep unsupervised learning, conditional maximum likelihood estimation, partially observed data, learning to optimize, nonlinear independent component analysis, latent variable sampling

Wei-Jen Ko, Avik Ray, Yilin Shen, Hongxia Jin

Keywords Abstract Paper

generation responses, regression task, open-domain models, end-to-end classification

Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace

Keywords Abstract Paper

NLP, neural classification, training, automatic evaluations

Kai Wang, Junfeng Tian, Rui Wang and

Xiaojun Quan, Jianxing Yu

Keywords Abstract Paper

Generating responses, task-oriented systems, response generation, automatic evaluations

Sarthak Mittal, Alex Lamb, Anirudh Goyal and

Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio

Keywords Abstract Paper

Sequential, Network, and Time-Series Modeling

Marin Scalbert, Florent Couzinié-Devy, Maria Vakalopoulou

Keywords Abstract Paper

unsupervised domain adaptation, contrastive learning, semi-supervised learning, consistency regularization, domain shift