Papers
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.
Leveraging BERT with Mixup for Sentence Classification (Student Abstract)
Amit Jindal, Dwaraknath Gnaneshwar, Ramit Sawhney et al.
Leveraging Multi-Token Entities in Document-Level Named Entity Recognition
Anwen Hu, Zhicheng Dou, Jian-Yun Nie et al.
Leveraging Multi-View Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation
Renjiao Yi, Ping Tan, Stephen Lin
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation
Guibing Guo, Bowei Chen, Xiaoyan Zhang et al.
Lexical Simplification with Pretrained Encoders
Jipeng Qiang, Yun Li, Yi Zhu et al.
LGML: Logic Guided Machine Learning (Student Abstract)
Joseph Scott, Maysum Panju, Vijay Ganesh
Lifelong Learning with a Changing Action Set
Yash Chandak, Georgios Theocharous, Chris Nota et al.
Lifelong Spectral Clustering
Gan Sun, Yang Cong, Qianqian Wang et al.