Papers
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification
Chengyu Wang, Minghui Qiu, Jun Huang et al.
Kernel-convoluted Deep Neural Networks with Data Augmentation
Minjin Kim, Young-geun Kim, Dongha Kim et al.
Keyword-Guided Neural Conversational Model
Peixiang Zhong, Yong Liu, Hao Wang et al.
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning
Ye Liu, Yao Wan, Lifang He et al.
KGDet: Keypoint-Guided Fashion Detection
Shenhan Qian, Dongze Lian, Binqiang Zhao et al.
K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management
Jonathan Ferrer-Mestres, Thomas G. Dietterich, Olivier Buffet et al.
Knocking in the Game of Gin Rummy
Ryzeson C. Maravich, Taylor C. Neller, Todd W. Neller
Knowledge-aware Coupled Graph Neural Network for Social Recommendation
Chao Huang, Huance Xu, Yong Xu et al.
Knowledge-aware Dialogue Generation with Hybrid Attention (Student Abstract)
Yaru Zhao, Bo Cheng, Yingying Zhang
Knowledge-aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification
Jinhua Du, Yan Huang, Karo Moilanen
Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity
Binling Nie, Ruixue Ding, Pengjun Xie et al.
Knowledge-Base Degrees of Inconsistency: Complexity and Counting
Johannes K. Fichte, Markus Hecher, Arne Meier
Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering
Kaixin Ma, Filip Ilievski, Jonathan Francis et al.
Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions
Siyu Ren, Kenny Q. Zhu
Knowledge-driven Natural Language Understanding of English Text and its Applications
Kinjal Basu, Sarat Chandra Varanasi, Farhad Shakerin et al.
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
Lianghao Xia, Chao Huang, Yong Xu et al.
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
Chen Ma, Liheng Ma, Yingxue Zhang et al.
Knowledge-Guided Object Discovery with Acquired Deep Impressions
Jinyang Yuan, Bin Li, Xiangyang Xue
Knowledge Refactoring for Inductive Program Synthesis
Sebastijan Dumancic, Tias Guns, Andrew Cropper
Knowledge Refinery: Learning from Decoupled Label
Qianggang Ding, Sifan Wu, Tao Dai et al.
Label Confusion Learning to Enhance Text Classification Models
Biyang Guo, Songqiao Han, Xiao Han et al.
LAMS: A Location-aware Approach for Multimodal Summarization (Student Abstract)
Zhengkun Zhang, Jun Wang, Zhe Sun et al.
Land Deformation Prediction via Slope-Aware Graph Neural Networks
Fan Zhou, Rongfan Li, Goce Trajcevski et al.
Landmark Generation in HTN Planning
Daniel Höller, Pascal Bercher
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling
Zhouyuan Huo, Bin Gu, Heng Huang