Papers
Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks
Tom Véniat, Ludovic Denoyer
Learning to Act in Decentralized Partially Observable MDPs
Jilles Dibangoye, Olivier Buffet
Learning to Actively Learn Neural Machine Translation
Ming Liu, Wray Buntine, Gholamreza Haffari
Learning to Act Properly: Predicting and Explaining Affordances From Images
Ching-Yao Chuang, Jiaman Li, Antonio Torralba et al.
Learning to Adapt: A Meta-learning Approach for Speaker Adaptation
Ondřej Klejch, Joachim Fainberg, Peter Bell
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter et al.
Learning to Anonymize Faces for Privacy Preserving Action Detection
Zhongzheng Ren, Yong Jae Lee, Michael S. Ryoo
Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders
Yansen Wang, Chenyi Liu, Minlie Huang et al.
Learning to Automatically Generate Fill-In-The-Blank Quizzes
Edison Marrese-Taylor, Ai Nakajima, Yutaka Matsuo et al.
Learning to Blend Photos
Wei-Chih Hung, Jianming Zhang, Xiaohui Shen et al.
Learning to Branch
Maria-Florina Balcan, Travis Dick, Tuomas Sandholm et al.
Learning to Capture Light Fields through a Coded Aperture Camera
Yasutaka Inagaki, Yuto Kobayashi, Keita Takahashi et al.
Learning to cluster in order to transfer across domains and tasks
Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira
Learning to Collaborate for Question Answering and Asking
Duyu Tang, Nan Duan, Zhao Yan et al.
Learning to Color from Language
Varun Manjunatha, Mohit Iyyer, Jordan Boyd-Graber et al.
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung, Yongxin Yang, Li Zhang et al.
Learning to Control the Specificity in Neural Response Generation
Ruqing Zhang, Jiafeng Guo, Yixing Fan et al.
Learning to Converse with Noisy Data: Generation with Calibration
Mingyue Shang, Zhenxin Fu, Nanyun Peng et al.
Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems
Eugenio Bargiacchi, Timothy Verstraeten, Diederik Roijers et al.
Learning to Count Objects in Natural Images for Visual Question Answering
Yan Zhang, Jonathon Hare, Adam Prügel-Bennett
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh, Bingbin Liu, De-An Huang et al.
Learning to Define Terms in the Software Domain
Vidhisha Balachandran, Dheeraj Rajagopal, Rose Catherine Kanjirathinkal et al.
Learning to Describe Differences Between Pairs of Similar Images
Harsh Jhamtani, Taylor Berg-Kirkpatrick
Learning to Design Games: Strategic Environments in Reinforcement Learning
Haifeng Zhang, Jun Wang, Zhiming Zhou et al.