Papers
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation
Jian Liang, Ran He, Zhenan Sun et al.
Distant Supervised Relation Extraction with Separate Head-Tail CNN
Rui Xing, Jie Luo
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding
Changsen Yuan, Heyan Huang, Chong Feng et al.
Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions
Zhi-Xiu Ye, Zhen-Hua Ling
Distillation-Based Training for Multi-Exit Architectures
Mary Phuong, Christoph H. Lampert
Distilled Person Re-Identification: Towards a More Scalable System
Ancong Wu, Wei-Shi Zheng, Xiaowei Guo et al.
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
Erkun Yang, Tongliang Liu, Cheng Deng et al.
Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning
Yaojie Lu, Hongyu Lin, Xianpei Han et al.
Distilling Knowledge From a Deep Pose Regressor Network
Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Yasin Almalioglu et al.
Distilling Object Detectors With Fine-Grained Feature Imitation
Tao Wang, Li Yuan, Xiaopeng Zhang et al.
Distilling Policy Distillation
Wojciech M. Czarnecki, Razvan Pascanu, Simon Osindero et al.
Distilling Translations with Visual Awareness
Julia Ive, Pranava Madhyastha, Lucia Specia
Distill Knowledge From NRSfM for Weakly Supervised 3D Pose Learning
Chaoyang Wang, Chen Kong, Simon Lucey
Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records
Eben Holderness, Philip Cawkwell, Kirsten Bolton et al.
Distinguishing Distributions When Samples Are Strategically Transformed
Hanrui Zhang, Yu Cheng, Vincent Conitzer
DistInit: Learning Video Representations Without a Single Labeled Video
Rohit Girdhar, Du Tran, Lorenzo Torresani et al.
Distraction-Aware Shadow Detection
Quanlong Zheng, Xiaotian Qiao, Ying Cao et al.
Distributed Collaborative Feature Selection Based on Intermediate Representation
Xiucai Ye, Hongmin Li, Akira Imakura et al.
Distributed Community Detection via Metastability of the 2-Choices Dynamics
Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca
Distributed, Egocentric Representations of Graphs for Detecting Critical Structures
Ruo-Chun Tzeng, Shan-Hung Wu
Distributed estimation of the inverse Hessian by determinantal averaging
Michal Derezinski, Michael W. Mahoney
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning
Bo Liu, Xiao-Tong Yuan, Lezi Wang et al.
Distributed Inference for Linear Support Vector Machine
Xiaozhou Wang, Zhuoyi Yang, Xi Chen et al.
Distributed Learning over Unreliable Networks
Chen Yu, Hanlin Tang, Cedric Renggli et al.