Papers
DeepPermNet: Visual Permutation Learning
Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian et al.
Deep Photo Style Transfer
Fujun Luan, Sylvain Paris, Eli Shechtman et al.
Deep Pyramidal Residual Networks
Dongyoon Han, Jiwhan Kim, Junmo Kim
Deep Pyramid Convolutional Neural Networks for Text Categorization
Rie Johnson, Tong Zhang
Deep Quantization: Encoding Convolutional Activations With Deep Generative Model
Zhaofan Qiu, Ting Yao, Tao Mei
Deep Recurrent Generative Decoder for Abstractive Text Summarization
Piji Li, Wai Lam, Lidong Bing et al.
Deep Recurrent Neural Network-Based Identification of Precursor microRNAs
Seunghyun Park, Seonwoo Min, Hyun-Soo Choi et al.
Deep Recurrent Neural Network Based Monaural Speech Separation Using Recurrent Temporal Restricted Boltzmann Machines
Suman Samui, Indrajit Chakrabarti, Soumya K. Ghosh
Deep Reinforcement Learning-Based Image Captioning With Embedding Reward
Zhou Ren, Xiaoyu Wang, Ning Zhang et al.
Deep Reinforcement Learning from Human Preferences
Paul F Christiano, Jan Leike, Tom Brown et al.
Deep Reinforcement Learning of Dialogue Policies with Less Weight Updates
Heriberto Cuayáhuitl, Seunghak Yu
Deep Representation Learning for Human Motion Prediction and Classification
Judith Butepage, Michael J. Black, Danica Kragic et al.
Deep Residual Learning for Weakly-Supervised Relation Extraction
Yi Yao Huang, William Yang Wang
DeepRoadMapper: Extracting Road Topology From Aerial Images
Gellert Mattyus, Wenjie Luo, Raquel Urtasun
Deep Roots: Improving CNN Efficiency With Hierarchical Filter Groups
Yani Ioannou, Duncan Robertson, Roberto Cipolla et al.
deepSA at SemEval-2017 Task 4: Interpolated Deep Neural Networks for Sentiment Analysis in Twitter
Tzu-Hsuan Yang, Tzu-Hsuan Tseng, Chia-Ping Chen
Deep Scene Image Classification With the MFAFVNet
Yunsheng Li, Mandar Dixit, Nuno Vasconcelos
Deep Self-Taught Learning for Weakly Supervised Object Localization
Zequn Jie, Yunchao Wei, Xiaojie Jin et al.
Deep Semantic Feature Matching
Nikolai Ufer, Bjorn Ommer
Deep Semantic Role Labeling: What Works and What’s Next
Luheng He, Kenton Lee, Mike Lewis et al.
Deep Sequential Context Networks for Action Prediction
Yu Kong, Zhiqiang Tao, Yun Fu
DeepSetNet: Predicting Sets With Deep Neural Networks
S. Hamid Rezatofighi, Vijay Kumar B G, Anton Milan et al.
Deep Sets
Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh et al.
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval
Li Liu, Fumin Shen, Yuming Shen et al.
Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval
Jifei Song, Qian Yu, Yi-Zhe Song et al.