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Enhanced LSTM for Natural Language Inference
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2017
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Qian Chen
Xiaodan Zhu
Zhen-Hua Ling
Si Wei
Hui Jiang
Diana Inkpen
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A Decomposable Attention Model for Natural Language Inference
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2016
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Ankur P. Parikh
Oscar TÀckström
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Jakob Uszkoreit
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ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
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2016
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Wenpeng Yin
Hinrich SchĂŒtze
Bing Xiang
Bowen Zhou
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Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce
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2018
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Jianfei Yu
Minghui Qiu
Jing Jiang
Jun Huang
Shuangyong Song
Wei Chu
Haiqing Chen
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How Transferable are Neural Networks in NLP Applications?
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2016
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Lili Mou
Meng Zhao
Rui Yan
Ge Li
Yan Xu
Lu Zhang
Zhi Jin
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A Deep Relevance Matching Model for Ad-hoc Retrieval
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2016
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Jiafeng Guo
Yixing Fan
Qingyao Ai
W. Bruce Croft
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Wasserstein Distance Guided Representation Learning for Domain Adaptation
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2017
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Jian Shen
Yanru Qu
Weinan Zhang
Yong Yu
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Deep Reinforcement Learning for Dialogue Generation
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2016
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Jiwei Li
Will Monroe
Alan Ritter
Michel Galley
Jianfeng Gao
Dan Jurafsky
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A large annotated corpus for learning natural language inference
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2015
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Samuel R. Bowman
Gabor Angeli
Christopher Potts
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Learning to select data for transfer learning with Bayesian Optimization
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2017
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Sebastian Ruder
Barbara Plank
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Deep Reinforcement Learning: A Brief Survey
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2017
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Kai Arulkumaran
Marc Peter Deisenroth
Miles Brundage
Anil A. Bharath
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A Neural Conversational Model
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2015
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Oriol Vinyals
Quoc V. Le
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Wav2Letter: an End-to-End ConvNet-based Speech Recognition System
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2016
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Ronan Collobert
Christian Puhrsch
Gabriel Synnaeve
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Learning to Compare: Relation Network for Few-Shot Learning
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2018
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Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip H. S. Torr
Timothy M. Hospedales
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Learning how to Active Learn: A Deep Reinforcement Learning Approach
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2017
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Meng Fang
Yuan Li
Trevor Cohn
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End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions
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2018
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Wenpeng Yin
Dan Roth
Hinrich SchĂŒtze
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Adversarial Multi-task Learning for Text Classification
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2017
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Pengfei Liu
Xipeng Qiu
Xuanjing Huang
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Domain-Adversarial Training of Neural Networks
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2017
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Yaroslav Ganin
Evgeniya Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
Mario Marchand
Victor Lempitsky
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IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection
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2018
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Qiangpeng Yang
Mengli Cheng
Wenmeng Zhou
Yan Chen
Minghui Qiu
Wei Lin
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Towards Universal Paraphrastic Sentence Embeddings
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2016
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John Wieting
Mohit Bansal
Kevin Gimpel
Karen Livescu
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A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
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2018
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Adina Williams
Nikita Nangia
Samuel Bowman
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A convex formulation for learning task relationships in multi-task learning
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Yu Zhang
DitâYan Yeung
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Convolutional Neural Network Architectures for Matching Natural Language Sentences
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2015
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Baotian Hu
Zhengdong Lu
Hang Li
Qingcai Chen
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Reasoning about Entailment with Neural Attention
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Edward Grefenstette
Karl Moritz Hermann
TomĂĄĆĄ Ko iskĂœ
Phil Blunsom
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SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
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2019
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Daniel Park
William Chan
Yu Zhang
ChungâCheng Chiu
Barret Zoph
Ekin D. Cubuk
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LayoutLM: Pre-training of Text and Layout for Document Image Understanding
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2020
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Yiheng Xu
Minghao Li
Lei Cui
Shaohan Huang
Furu Wei
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Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems
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2018
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Yang Liu
Minghui Qiu
Chen Qu
Jiafeng Guo
Yongfeng Zhang
W. Bruce Croft
Jun Huang
Haiqing Chen
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Learning Sampling Policies for Domain Adaptation
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2018
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Yash Patel
Kashyap Chitta
Bhavan Jasani
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An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition
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2016
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Baoguang Shi
Xiang Bai
Cong Yao
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Adam: A Method for Stochastic Optimization
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2014
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Diederik P. Kingma
Jimmy Ba
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A large annotated corpus for learning natural language inference
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2015
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Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
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Deep Reinforcement Learning for Dialogue Generation
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2016
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Jiwei Li
Will Monroe
Alan Ritter
Dan Jurafsky
Michel Galley
Jianfeng Gao
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OnActor-Critic Algorithms
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2003
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Vijay R. Konda
John N. Tsitsiklis
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Learning What Data to Learn
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Fan Yang
Fei Tian
Tao Qin
Jiang Bian
TieâYan Liu
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Prototypical Networks for Few-shot Learning
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2017
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Kevin Swersky
Richard S. Zemel
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EAST: An Efficient and Accurate Scene Text Detector
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2017
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Xinyu Zhou
Cong Yao
He Wen
Yuzhi Wang
Shuchang Zhou
Weiran He
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Deep Contextualized Word Representations
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2018
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Matthew E. Peters
Mark E Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
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Adversarial Multi-task Learning for Text Classification
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2017
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Pengfei Liu
Xipeng Qiu
Xuanjing Huang
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2
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Unsupervised Cross-Domain Image Generation
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2016
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Yaniv Taigman
Adam Polyak
Lior Wolf
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Frustratingly Easy Domain Adaptation
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2009
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Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
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2016
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ChenâYu Lee
Simon Osindero
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Natural Language Inference by Tree-Based Convolution and Heuristic Matching
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2016
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Lili Mou
Rui Men
Ge Li
Yan Xu
Lu Zhang
Rui Yan
Zhi Jin
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Categorical Reparameterization with Gumbel-Softmax
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2016
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Eric Jang
Shixiang Gu
Ben Poole
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Learning to Match using Local and Distributed Representations of Text for Web Search
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2017
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Bhaskar Mitra
Fernando DĂaz
Nick Craswell
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Rethinking the Inception Architecture for Computer Vision
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2016
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Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
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Explaining and Harnessing Adversarial Examples
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Ian Goodfellow
Jonathon Shlens
Christian Szegedy
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An Actor-Critic Algorithm for Sequence Prediction
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2016
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Dzmitry Bahdanau
Philémon Brakel
Kelvin Xu
Anirudh Goyal
Ryan Lowe
Joëlle Pineau
Aaron Courville
Yoshua Bengio
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Matching Networks for One Shot Learning
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Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
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Boosting Adversarial Attacks with Momentum
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2018
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Yinpeng Dong
Fangzhou Liao
Tianyu Pang
Hang Su
Jun Zhu
Xiaolin Hu
Jianguo Li
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Run, skeleton, run: skeletal model in a physics-based simulation
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2017
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Mikhail Pavlov
Sergey Kolesnikov
Sergey M. Plis
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