Papers
Learning to Summarize Electronic Health Records Using Cross-Modality Correspondences
Jen J. Gong, John V. Guttag
Learning to Summarize Radiology Findings
Yuhao Zhang, Daisy Yi Ding, Tianpei Qian et al.
Learning to Teach
Yang Fan, Fei Tian, Tao Qin et al.
Learning to Teach with Dynamic Loss Functions
Lijun Wu, Fei Tian, Yingce Xia et al.
Learning to Understand Image Blur
Shanghang Zhang, Xiaohui Shen, Zhe Lin et al.
Learning towards Minimum Hyperspherical Energy
Weiyang Liu, Rongmei Lin, Zhen Liu et al.
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples
Danyang Sun, Tongzheng Ren, Chongxuan Li et al.
Learning to Write with Cooperative Discriminators
Ari Holtzman, Jan Buys, Maxwell Forbes et al.
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens et al.
Learning Transferable UAV for Forest Visual Perception
Lyujie Chen, Wufan Wang, Jihong Zhu
Learning Translations via Images with a Massively Multilingual Image Dataset
John Hewitt, Daphne Ippolito, Brendan Callahan et al.
Learning Two Tone Languages Enhances the Brainstem Encoding of Lexical Tones
Akshay Raj Maggu, Wenqing Zong, Vina Law et al.
Learning under $p$-Tampering Attacks
Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody
Learning under Misspecified Objective Spaces
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac et al.
Learning Universal Sentence Representations with Mean-Max Attention Autoencoder
Minghua Zhang, Yunfang Wu, Weikang Li et al.
Learning unknown ODE models with Gaussian processes
Markus Heinonen, Cagatay Yildiz, Henrik Mannerström et al.
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following
Siyi Li, Tianbo Liu, Chi Zhang et al.
Learning Unsupervised Word Translations Without Adversaries
Tanmoy Mukherjee, Makoto Yamada, Timothy Hospedales
Learning Versatile Filters for Efficient Convolutional Neural Networks
Yunhe Wang, Chang Xu, Chunjing XU et al.
Learning Visual Knowledge Memory Networks for Visual Question Answering
Zhou Su, Chen Zhu, Yinpeng Dong et al.
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples
Haoyue Shi, Jiayuan Mao, Tete Xiao et al.
Learning Visually Grounded Sentence Representations
Douwe Kiela, Alexis Conneau, Allan Jabri et al.
Learning Wasserstein Embeddings
Nicolas Courty, Rémi Flamary, Mélanie Ducoffe
Learning What Information to Give in Partially Observed Domains
Rohan Chitnis, Leslie Pack Kaelbling, Tomas Lozano-Perez
Learning What to Share: Leaky Multi-Task Network for Text Classification
Liqiang Xiao, Honglun Zhang, Wenqing Chen et al.