Papers
Learning to Predict Denotational Probabilities For Modeling Entailment
Alice Lai, Julia Hockenmaier
Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps
Matteo Poggi, Stefano Mattoccia
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Xin Dong, Shangyu Chen, Sinno Pan
Learning to Push the Limits of Efficient FFT-Based Image Deconvolution
Jakob Kruse, Carsten Rother, Uwe Schmidt
Learning to Rank Retargeted Images
Yang Chen, Yong-Jin Liu, Yu-Kun Lai
Learning to Rank Semantic Coherence for Topic Segmentation
Liang Wang, Sujian Li, Yajuan Lv et al.
Learning to Read Irregular Text with Attention Mechanisms
Xiao Yang, Dafang He, Zihan Zhou et al.
Learning to Reason: End-To-End Module Networks for Visual Question Answering
Ronghang Hu, Jacob Andreas, Marcus Rohrbach et al.
Learning to Reconstruct 3D Structures for Occupancy Mapping
Vitor Guizilini, Fabio Ramos
Learning to Run Heuristics in Tree Search
Elias B. Khalil, Bistra Dilkina, George L. Nemhauser et al.
Learning to See Physics via Visual De-animation
Jiajun Wu, Erika Lu, Pushmeet Kohli et al.
Learning to select data for transfer learning with Bayesian Optimization
Sebastian Ruder, Barbara Plank
Learning to Skim Text
Adams Wei Yu, Hongrae Lee, Quoc Le
Learning to Super-Resolve Blurry Face and Text Images
Xiangyu Xu, Deqing Sun, Jinshan Pan et al.
Learning to Synthesize a 4D RGBD Light Field From a Single Image
Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal et al.
Learning to Translate in Real-time with Neural Machine Translation
Jiatao Gu, Graham Neubig, Kyunghyun Cho et al.
Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks
Bonan Min, Zhuolin Jiang, Marjorie Freedman et al.
Learning Translations via Matrix Completion
Derry Tanti Wijaya, Brendan Callahan, John Hewitt et al.
Learning Uncertain Convolutional Features for Accurate Saliency Detection
Pingping Zhang, Dong Wang, Huchuan Lu et al.
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach
Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar et al.
Learning User Dependencies for Recommendation
Yong Liu, Peilin Zhao, Xin Liu et al.
Learning User Embeddings from Emails
Yan Song, Chia-Jung Lee
Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach
Huayu Li, Yong Ge, Defu Lian et al.
Learning Video Object Segmentation From Static Images
Federico Perazzi, Anna Khoreva, Rodrigo Benenson et al.