Papers
Learning Convolutional Networks for Content-Weighted Image Compression
Mu Li, Wangmeng Zuo, Shuhang Gu et al.
Learning Decision Trees with Stochastic Linear Classifiers
Tom Jurgenson, Yishay Mansour
Learning Deep Descriptors With Scale-Aware Triplet Networks
Michel Keller, Zetao Chen, Fabiola Maffra et al.
Learning Deep Disentangled Embeddings With the F-Statistic Loss
Karl Ridgeway, Michael Mozer
Learning Deep Mean Field Games for Modeling Large Population Behavior
Jiachen Yang, Xiaojing Ye, Rakshit Trivedi et al.
Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision
Yaojie Liu, Amin Jourabloo, Xiaoming Liu
Learning Deep ResNet Blocks Sequentially using Boosting Theory
Furong Huang, Jordan Ash, John Langford et al.
Learning Deep Sketch Abstraction
Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song et al.
Learning Deep Structured Active Contours End-to-End
Diego Marcos, Devis Tuia, Benjamin Kellenberger et al.
Learning Deep Unsupervised Binary Codes for Image Retrieval
Junjie Chen, William K. Cheung, Anran Wang
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal
Jake Bruce, Niko Sunderhauf, Piotr Mirowski et al.
Learning Depth From Monocular Videos Using Direct Methods
Chaoyang Wang, José Miguel Buenaposada, Rui Zhu et al.
Learning Descriptor Networks for 3D Shape Synthesis and Analysis
Jianwen Xie, Zilong Zheng, Ruiqi Gao et al.
Learning Determinantal Point Processes in Sublinear Time
Christophe Dupuy, Francis Bach
Learning Diachronic Analogies to Analyze Concept Change
Matthias Orlikowski, Matthias Hartung, Philipp Cimiano
Learning Differentially Private Recurrent Language Models
H. Brendan McMahan, Daniel Ramage, Kunal Talwar et al.
Learning Diffusion using Hyperparameters
Dimitris Kalimeris, Yaron Singer, Karthik Subbian et al.
Learning Discrete Weights Using the Local Reparameterization Trick
Oran Shayer, Dan Levi, Ethan Fetaya
Learning Discriminative Features for Speaker Identification and Verification
Sarthak Yadav, Atul Rai
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts
Sarthak Jain, Edward Banner, Jan-Willem van de Meent et al.
Learning Distributional Token Representations from Visual Features
Samuel Broscheit
Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms
Alexandre Bône, Olivier Colliot, Stanley Durrleman
Learning Domain Representation for Multi-Domain Sentiment Classification
Qi Liu, Yue Zhang, Jiangming Liu