Papers
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur
Dong Gong, Jie Yang, Lingqiao Liu et al.
From Neural Sentence Summarization to Headline Generation: A Coarse-to-Fine Approach
Jiwei Tan, Xiaojun Wan, Jianguo Xiao
From Parity to Preference-based Notions of Fairness in Classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Rodriguez et al.
From Patches to Images: A Nonparametric Generative Model
Geng Ji, Michael C. Hughes, Erik B. Sudderth
From Red Wine to Red Tomato: Composition With Context
Ishan Misra, Abhinav Gupta, Martial Hebert
From Segmentation to Analyses: a Probabilistic Model for Unsupervised Morphology Induction
Toms Bergmanis, Sharon Goldwater
From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems
Mrinmaya Sachan, Kumar Dubey, Eric Xing
From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion
Kevin Sebastian Luck, Joseph Campbell, Michael Jansen et al.
From which world is your graph
Cheng Li, Felix MF Wong, Zhenming Liu et al.
From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis
Yang Long, Li Liu, Ling Shao et al.
Front-to-End Bidirectional Heuristic Search with Near-Optimal Node Expansions
Jingwei Chen, Robert C. Holte, Sandra Zilles et al.
Full Resolution Image Compression With Recurrent Neural Networks
George Toderici, Damien Vincent, Nick Johnston et al.
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Tobias Pohlen, Alexander Hermans, Markus Mathias et al.
Fully-Adaptive Feature Sharing in Multi-Task Networks With Applications in Person Attribute Classification
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai et al.
Fully Convolutional Instance-Aware Semantic Segmentation
Yi Li, Haozhi Qi, Jifeng Dai et al.
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach
Roel Dobbe, David Fridovich-Keil, Claire Tomlin
Function Assistant: A Tool for NL Querying of APIs
Kyle Richardson, Jonas Kuhn
Fundamental Conditions for Low-CP-Rank Tensor Completion
Morteza Ashraphijuo, Xiaodong Wang
Fundamental limits of symmetric low-rank matrix estimation
Marc Lelarge, Léo Miolane
Further Investigation into Reference Bias in Monolingual Evaluation of Machine Translation
Qingsong Ma, Yvette Graham, Timothy Baldwin et al.
Further Results on Predicting Cognitive Abilities for Adaptive Visualizations
Cristina Conati, Sébastien Lallé, Md. Abed Rahman et al.