Papers
Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case
Marcos L.P. Bueno, Arjen Hommersom, Peter J.F. Lucas et al.
Learning Convolutional Neural Networks for Graphs
Mathias Niepert, Mohamed Ahmed, Konstantin Kutzkov
Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation
Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang
Learning Deep Embeddings with Histogram Loss
Evgeniya Ustinova, Victor Lempitsky
Learning Deep Feature Representations With Domain Guided Dropout for Person Re-Identification
Tong Xiao, Hongsheng Li, Wanli Ouyang et al.
Learning Deep Features for Discriminative Localization
Bolei Zhou, Aditya Khosla, Agata Lapedriza et al.
Learning Deep Parsimonious Representations
Renjie Liao, Alex Schwing, Richard Zemel et al.
Learning Deep Representation for Imbalanced Classification
Chen Huang, Yining Li, Chen Change Loy et al.
Learning Deep Representations of Fine-Grained Visual Descriptions
Scott Reed, Zeynep Akata, Honglak Lee et al.
Learning Deep Structure-Preserving Image-Text Embeddings
Liwei Wang, Yin Li, Svetlana Lazebnik
Learning Dense Correspondence via 3D-Guided Cycle Consistency
Tinghui Zhou, Philipp Krahenbuhl, Mathieu Aubry et al.
Learning Distance Metrics for Multi-Label Classification
Henry Gouk, Bernhard Pfahringer, Michael Cree
Learning Document Representations Using Subspace Multinomial Model
Santosh Kesiraju, Lukáš Burget, Igor Szőke et al.
Learning End-to-end Video Classification with Rank-Pooling
Basura Fernando, Stephen Gould
Learning Event Expressions via Bilingual Structure Projection
Fangyuan Li, Ruihong Huang, Deyi Xiong et al.
Learning Feature Aware Metric
Han-Jia Ye, De-Chuan Zhan, Xue-Min Si et al.
Learning feed-forward one-shot learners
Luca Bertinetto, João F. Henriques, Jack Valmadre et al.
Learning from Multiway Data: Simple and Efficient Tensor Regression
Rose Yu, Yan Liu
Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs
Shahin Jabbari, Ryan M Rogers, Aaron Roth et al.
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs
Yu-Xiong Wang, Martial Hebert
Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers
Stephan Clemencon, Patrice Bertail, Guillaume Papa
Learning From the Mistakes of Others: Matching Errors in Cross-Dataset Learning
Viktoriia Sharmanska, Novi Quadrianto
Learning grammatical categories using paradigmatic representations: Substitute words for language acquisition
Mehmet Ali Yatbaz, Volkan Cirik, Aylin Küntay et al.
Learning Granger Causality for Hawkes Processes
Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices
Kirthevasan Kandasamy, Maruan Al-Shedivat, Eric P Xing