Papers
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information
Lijing Wang, Jiangzhuo Chen, Madhav Marathe
DEFT: A corpus for definition extraction in free- and semi-structured text
Sasha Spala, Nicholas A. Miller, Yiming Yang et al.
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features
Chang Tang, Xinzhong Zhu, Xinwang Liu et al.
Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies
Robert Platt, Colin Kohler, Marcus Gualtieri
Delay and Cooperation in Nonstochastic Bandits
Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour
Delayed Impact of Fair Machine Learning
Lydia T. Liu, Sarah Dean, Esther Rolf et al.
Deliberate Attention Networks for Image Captioning
Lianli Gao, Kaixuan Fan, Jingkuan Song et al.
Deliberation Learning for Image-to-Image Translation
Tianyu He, Yingce Xia, Jianxin Lin et al.
Deliberative Explanations: visualizing network insecurities
Pei Wang, Nuno Nvasconcelos
DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS
Xingjian Li, Haoyi Xiong, Hanchao Wang et al.
DeltaDou: Expert-level Doudizhu AI through Self-play
Qiqi Jiang, Kuangzheng Li, Boyao Du et al.
Delta Embedding Learning
Xiao Zhang, Ji Wu, Dejing Dou
Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings
Hwiyeol Jo, Ceyda Cinarel
Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings
Hwiyeol Jo, Ceyda Cinarel
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
Yu Rong, Ziwei Liu, Cheng Li et al.
Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
Zhenyu Wu, Karthik Suresh, Priya Narayanan et al.
De-Mixing Sentiment from Code-Mixed Text
Yash Kumar Lal, Vaibhav Kumar, Mrinal Dhar et al.
Demo: Learning to Perceive Long-Range Obstacles Using Self-Supervision from Short-Range Sensors
Mirko Nava, Jérôme Guzzi, R. Omar Chavez-Garcia et al.
Demonstration of a Neural Machine Translation System with Online Learning for Translators
Miguel Domingo, Mercedes García-Martínez, Amando Estela Pastor et al.
Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music Generation
Yu-Hua Chen, Bryan Wang, Yi-Hsuan Yang
Demystifying Black-box Models with Symbolic Metamodels
Ahmed M. Alaa, Mihaela van der Schaar
Demystifying Dropout
Hongchang Gao, Jian Pei, Heng Huang
Demystifying the Combination of Dynamic Slicing and Spectrum-based Fault Localization
Sofia Reis, Rui Abreu, Marcelo d'Amorim
Deniable Upload and Download via Passive Participation
David Sommer, Aritra Dhar, Luka Malisa et al.
Denoising based Sequence-to-Sequence Pre-training for Text Generation
Liang Wang, Wei Zhao, Ruoyu Jia et al.