Papers
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
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling
Hongying Liu, Peng Zhao, Zhubo Ruan et al.
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness
Youwei Liang, Dong Huang
Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition
Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract)
Chenyang Wu, Rui Kong, Guoyu Yang et al.
LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints
Qingyang Tan, Zherong Pan, Dinesh Manocha
Learnable Dynamic Temporal Pooling for Time Series Classification
Dongha Lee, Seonghyeon Lee, Hwanjo Yu
Learned Bi-Resolution Image Coding using Generalized Octave Convolutions
Mohammad Akbari, Jie Liang, Jingning Han et al.
Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding
Yangyang Li, Lin Kong, Fanhua Shang et al.
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks
Litao Qiao, Weijia Wang, Bill Lin
Learning Adjustment Sets from Observational and Limited Experimental Data
Sofia Triantafillou, Greg Cooper
Learning a Few-shot Embedding Model with Contrastive Learning
Chen Liu, Yanwei Fu, Chengming Xu et al.
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces
Xiaomeng Fan, Zhi Gao, Yuwei Wu et al.
Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues
Ruijian Xu, Chongyang Tao, Daxin Jiang et al.
Learning Artificial Intelligence: Insights into How Youth Encounter and Build Understanding of AI Concepts
Eric Greenwald, Maxyn Leitner, Ning Wang
Learning Augmented Methods for Matching: Improving Invasive Species Management and Urban Mobility
Johan Bjorck, Qinru Shi, Carrie Brown-Lima et al.
Learning Branching Heuristics for Propositional Model Counting
Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu et al.