Papers
LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs
Weibin Meng, Ying Liu, Yichen Zhu et al.
Low-Bit Quantization for Attributed Network Representation Learning
Hong Yang, Shirui Pan, Ling Chen et al.
Low Shot Box Correction for Weakly Supervised Object Detection
Tianxiang Pan, Bin Wang, Guiguang Ding et al.
LRDNN: Local-refining based Deep Neural Network for Person Re-Identification with Attribute Discerning
Qinqin Zhou, Bineng Zhong, Xiangyuan Lan et al.
LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning
Alberto Camacho, Rodrigo Toro Icarte, Toryn Q. Klassen et al.
Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination
Ruixue Liu, Baoyang Chen, Meng Chen et al.
Marginal Posterior Sampling for Slate Bandits
Maria Dimakopoulou, Nikos Vlassis, Tony Jebara
Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies
Wen Liu, Weixin Luo, Zhengxin Li et al.
Mask and Infill: Applying Masked Language Model for Sentiment Transfer
Xing Wu, Tao Zhang, Liangjun Zang et al.
Masked Graph Convolutional Network
Liang Yang, Fan Wu, Yingkui Wang et al.
Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network
Liang Chen, Yang Liu, Xiangnan He et al.
Matching with Constraints
Zhaohong Sun
MAT-Net: Medial Axis Transform Network for 3D Object Recognition
Jianwei Hu, Bin Wang, Lihui Qian et al.
Matrix Completion in the Unit Hypercube via Structured Matrix Factorization
Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh
Maximin-Aware Allocations of Indivisible Goods
Hau Chan, Jing Chen, Bo Li et al.
mdfa: Multi-Differential Fairness Auditor for Black Box Classifiers
Xavier Gitiaux, Huzefa Rangwala
Measuring Structural Similarities in Finite MDPs
Hao Wang, Shaokang Dong, Ling Shao
Measuring the Likelihood of Numerical Constraints
Marco Console, Matthias Hofer, Leonid Libkin
Medical Concept Embedding with Multiple Ontological Representations
Lihong Song, Chin Wang Cheong, Kejing Yin et al.
Medical Concept Representation Learning from Multi-source Data
Tian Bai, Brian L. Egleston, Richard Bleicher et al.
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh et al.
Merge-and-Shrink Task Reformulation for Classical Planning
Álvaro Torralba, Silvan Sievers
Metadata-driven Task Relation Discovery for Multi-task Learning
Zimu Zheng, Yuqi Wang, Quanyu Dai et al.
Meta-Interpretive Learning Using HEX-Programs
Tobias Kaminski, Thomas Eiter, Katsumi Inoue