Papers
Learning to Classify the Wrong Answers for Multiple Choice Question Answering (Student Abstract)
Hyeondey Kim, Pascale Fung
Learning to Communicate Implicitly by Actions
Zheng Tian, Shihao Zou, Ian Davies et al.
Learning to Crawl
Utkarsh Upadhyay, Robert Busa-Fekete, Wojciech Kotlowski et al.
Learning to Deblur Face Images via Sketch Synthesis
Songnan Lin, Jiawei Zhang, Jinshan Pan et al.
Learning to Follow Directions in Street View
Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski et al.
Learning to Generate Maps from Trajectories
Sijie Ruan, Cheng Long, Jie Bao et al.
Learning to Incorporate Structure Knowledge for Image Inpainting
Jie Yang, Zhiquan Qi, Yong Shi
Learning to Interactively Learn and Assist
Mark Woodward, Chelsea Finn, Karol Hausman
Learning to Learn Morphological Inflection for Resource-Poor Languages
Katharina Kann, Samuel R. Bowman, Kyunghyun Cho
Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing
Bo Chen, Xianpei Han, Ben He et al.
Learning to Match on Graph for Fashion Compatibility Modeling
Xun Yang, Xiaoyu Du, Meng Wang
Learning to Model Opponent Learning (Student Abstract)
Ian Davies, Zheng Tian, Jun Wang
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees
Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio et al.
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting
Ralph Abboud, Ismail Ceylan, Thomas Lukasiewicz
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation
Xiaocheng Feng, Yawei Sun, Bing Qin et al.
Learning to Transfer: Unsupervised Domain Translation via Meta-Learning
Jianxin Lin, Yijun Wang, Zhibo Chen et al.
Learning Transferable Adversarial Examples via Ghost Networks
Yingwei Li, Song Bai, Yuyin Zhou et al.
Learning Triple Embeddings from Knowledge Graphs
Valeria Fionda, Giuseppe Pirrò
Learning Weighted Model Integration Distributions
Paolo Morettin, Samuel Kolb, Stefano Teso et al.
Learning with Unsure Responses
Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada
Least General Generalizations in Description Logic: Verification and Existence
Jean Christoph Jung, Carsten Lutz, Frank Wolter
LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games
Leonard Adolphs, Thomas Hofmann
Less Is Better: Unweighted Data Subsampling via Influence Function
Zifeng Wang, Hong Zhu, Zhenhua Dong et al.