Papers
Learning Less Is More - 6D Camera Localization via 3D Surface Regression
Eric Brachmann, Carsten Rother
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction
Kevin Ellis, Lucas Morales, Mathias Sablé-Meyer et al.
Learning linear structural equation models in polynomial time and sample complexity
Asish Ghoshal, Jean Honorio
Learning Localized Spatio-Temporal Models From Streaming Data
Muhammad Osama, Dave Zachariah, Thomas Schön
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Trieu Trinh, Andrew Dai, Thang Luong et al.
Learning long-range spatial dependencies with horizontal gated recurrent units
Drew Linsley, Junkyung Kim, Vijay Veerabadran et al.
Learning Long Term Dependencies via Fourier Recurrent Units
Jiong Zhang, Yibo Lin, Zhao Song et al.
Learning Loop Invariants for Program Verification
Xujie Si, Hanjun Dai, Mukund Raghothaman et al.
Learning Low-Dimensional Temporal Representations
Bing Su, Ying Wu
Learning Markov Clustering Networks for Scene Text Detection
Zichuan Liu, Guosheng Lin, Sheng Yang et al.
Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots
Yu Wu, Wei Wu, Zhoujun Li et al.
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time
Asish Ghoshal, Jean Honorio
Learning Memory Access Patterns
Milad Hashemi, Kevin Swersky, Jamie Smith et al.
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity
Yuanzhi Li, Yingyu Liang
Learning Monocular 3D Human Pose Estimation From Multi-View Images
Helge Rhodin, Jörg Spörri, Isinsu Katircioglu et al.
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Xiaoyang Guo, Hongsheng Li, Shuai Yi et al.
Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances
Kai Liu, Hua Wang, Feiping Nie et al.
Learning Multilingual Topics from Incomparable Corpora
Shudong Hao, Michael J. Paul
Learning multiview embeddings for assessing dementia
Chloé Pou-Prom, Frank Rudzicz
Learning Named Entity Tagger using Domain-Specific Dictionary
Jingbo Shang, Liyuan Liu, Xiaotao Gu et al.
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling et al.
Learning Neural Representation for CLIR with Adversarial Framework
Bo Li, Ping Cheng
Learning Neural Templates for Text Generation
Sam Wiseman, Stuart Shieber, Alexander Rush
Learning Non-parametric Markov Networks with Mutual Information
Janne Leppä-Aho, Santeri Räisänen, Xiao Yang et al.
Learning One Convolutional Layer with Overlapping Patches
Surbhi Goel, Adam Klivans, Raghu Meka