Papers
Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps
Han-Jia Ye, De-Chuan Zhan, Xue-Min Si et al.
Learning Mixture of Gaussians with Streaming Data
Aditi Raghunathan, Prateek Jain, Ravishankar Krishnawamy
Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics
Alexander Broad, Todd Murphey, Brenna Argall
Learning Motion Patterns in Videos
Pavel Tokmakov, Karteek Alahari, Cordelia Schmid
Learning MSO-definable hypotheses on strings
Martin Grohe, Christof Löding, Martin Ritzert
Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image Recognition
Heliang Zheng, Jianlong Fu, Tao Mei et al.
Learning Multi-faceted Knowledge Graph Embeddings for Natural Language Processing
Muhao Chen, Carlo Zaniolo
Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks
Haomiao Liu, Ruiping Wang, Shiguang Shan et al.
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation
Tong Shen, Guosheng Lin, Chunhua Shen et al.
Learning Multiple Tasks with Multilinear Relationship Networks
Mingsheng Long, ZHANGJIE CAO, Jianmin Wang et al.
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi
Learning Multivariate Log-concave Distributions
Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart
Learning Nash Equilibrium for General-Sum Markov Games from Batch Data
Julien Perolat, Florian Strub, Bilal Piot et al.
Learning Neural Representations of Human Cognition across Many fMRI Studies
Arthur Mensch, Julien Mairal, Danilo Bzdok et al.
Learning Non-Discriminatory Predictors
Blake Woodworth, Suriya Gunasekar, Mesrob I. Ohannessian et al.
Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories
Jian Shi, Yue Dong, Hao Su et al.
Learning Non-Maximum Suppression
Jan Hosang, Rodrigo Benenson, Bernt Schiele
2017
CVPR
Learning Nonparametric Forest Graphical Models with Prior Information
Yuancheng Zhu, Zhe Liu, Siqi Sun
Learning Object Interactions and Descriptions for Semantic Image Segmentation
Guangrun Wang, Ping Luo, Liang Lin et al.
Learning Optimal Interventions
Jonas Mueller, David Reshef, George Du et al.
Learning Overcomplete HMMs
Vatsal Sharan, Sham M. Kakade, Percy Liang et al.
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext
John Wieting, Jonathan Mallinson, Kevin Gimpel
Learning Partially Contracting Dynamical Systems from Demonstrations
Harish Ravichandar, Iman Salehi, Ashwin Dani
Learning Partial Policies to Speedup MDP Tree Search via Reduction to I.I.D. Learning
Jervis Pinto, Alan Fern
Learning Policies for Adaptive Tracking With Deep Feature Cascades
Chen Huang, Simon Lucey, Deva Ramanan