Papers
Lazy-Grounding for Answer Set Programs with External Source Access
Thomas Eiter, Tobias Kaminski, Antonius Weinzierl
LCNN: Lookup-Based Convolutional Neural Network
Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi
LCR-Net: Localization-Classification-Regression for Human Pose
Gregory Rogez, Philippe Weinzaepfel, Cordelia Schmid
Lean Crowdsourcing: Combining Humans and Machines in an Online System
Steve Branson, Grant Van Horn, Pietro Perona
Learned Contextual Feature Reweighting for Image Geo-Localization
Hyo Jin Kim, Enrique Dunn, Jan-Michael Frahm
Learned D-AMP: Principled Neural Network based Compressive Image Recovery
Chris Metzler, Ali Mousavi, Richard Baraniuk
Learned in Translation: Contextualized Word Vectors
Bryan McCann, James Bradbury, Caiming Xiong et al.
Learned Multi-Patch Similarity
Wilfried Hartmann, Silvano Galliani, Michal Havlena et al.
Learned Optimizers that Scale and Generalize
Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman et al.
Learned Watershed: End-To-End Learning of Seeded Segmentation
Steffen Wolf, Lukas Schott, Ullrich Kothe et al.
Learning 3D Object Categories by Looking Around Them
David Novotny, Diane Larlus, Andrea Vedaldi
Learning Action Recognition Model From Depth and Skeleton Videos
Hossein Rahmani, Mohammed Bennamoun
Learning Active Learning from Data
Ksenia Konyushkova, Raphael Sznitman, Pascal Fua
Learning Adaptive Receptive Fields for Deep Image Parsing Network
Zhen Wei, Yao Sun, Jinqiao Wang et al.
Learning a Deep Embedding Model for Zero-Shot Learning
Li Zhang, Tao Xiang, Shaogang Gong
Learning Affinity via Spatial Propagation Networks
Sifei Liu, Shalini De Mello, Jinwei Gu et al.
Learning a Ground Truth Ranking Using Noisy Approval Votes
Ioannis Caragiannis, Evi Micha
Learning Algorithms for Active Learning
Philip Bachman, Alessandro Sordoni, Adam Trischler
Learning a Multi-View Stereo Machine
Abhishek Kar, Christian Häne, Jitendra Malik
Learning and Applying Case Adaptation Rules for Classification: An Ensemble Approach
Vahid Jalali, David Leake, Najmeh Forouzandehmehr
Learning and Knowledge Transfer with Memory Networks for Machine Comprehension
Mohit Yadav, Lovekesh Vig, Gautam Shroff
Learning and Refining of Privileged Information-Based RNNs for Action Recognition From Depth Sequences
Zhiyuan Shi, Tae-Kyun Kim
Learning a Neural Semantic Parser from User Feedback
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung et al.
Learning an Invariant Hilbert Space for Domain Adaptation
Samitha Herath, Mehrtash Harandi, Fatih Porikli