Papers
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
Ziming Li, Julia Kiseleva, Maarten de Rijke
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
Navonil Majumder, Soujanya Poria, Devamanyu Hazarika et al.
Dictionary-Guided Editing Networks for Paraphrase Generation
Shaohan Huang, Yu Wu, Furu Wei et al.
Differential Networks for Visual Question Answering
Chenfei Wu, Jinlai Liu, Xiaojie Wang et al.
Differentiated Distribution Recovery for Neural Text Generation
Jianing Li, Yanyan Lan, Jiafeng Guo et al.
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation
Dong Nie, Li Wang, Lei Xiang et al.
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Yujie Wu, Lei Deng, Guoqi Li et al.
Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts
Ximing Li, Jiaojiao Zhang, Jihong Ouyang
Discovering Temporal Patterns from Insurance Interaction Data
Maleeha Qazi, Srinivas Tunuguntla, Peng Lee et al.
Discrete Social Recommendation
Chenghao Liu, Xin Wang, Tao Lu et al.
Discriminative Feature Learning for Unsupervised Video Summarization
Yunjae Jung, Donghyeon Cho, Dahun Kim et al.
Disentangled Variational Representation for Heterogeneous Face Recognition
Xiang Wu, Huaibo Huang, Vishal M. Patel et al.
Disjoint Label Space Transfer Learning with Common Factorised Space
Xiaobin Chang, Yongxin Yang, Tao Xiang et al.
Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability
Liangda Fang, Kewen Wang, Zhe Wang et al.
Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations
Changzhi Sun, Yuanbin Wu
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding
Changsen Yuan, Heyan Huang, Chong Feng et al.
Distributed Community Detection via Metastability of the 2-Choices Dynamics
Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca
Distributed Representation of Words in Cause and Effect Spaces
Zhipeng Xie, Feiteng Mu
Distributionally Adversarial Attack
Tianhang Zheng, Changyou Chen, Kui Ren
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing
Kaixuan Chen, Lina Yao, Dalin Zhang et al.
Distributional Semantics Meets Multi-Label Learning
Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan et al.
Distribution-Based Semi-Supervised Learning for Activity Recognition
Hangwei Qian, Sinno Jialin Pan, Chunyan Miao