Papers
Online Learning from Data Streams with Varying Feature Spaces
Ege Beyazit, Jeevithan Alagurajah, Xindong Wu
Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification
Christopher Bartley, Wei Liu, Mark Reynolds
Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition
Wissam J. Baddar, Yong Man Ro
High Dimensional Clustering with r-nets
Georgia Avarikioti, Alain Ryser, Yuyi Wang et al.
Random Feature Maps for the Itemset Kernel
Kyohei Atarashi, Subhransu Maji, Satoshi Oyama
Robust Negative Sampling for Network Embedding
Mohammadreza Armandpour, Patrick Ding, Jianhua Huang et al.
Adversarial Label Learning
Chidubem Arachie, Bert Huang
Hyperprior Induced Unsupervised Disentanglement of Latent Representations
Abdul Fatir Ansari, Harold Soh
Attacking Data Transforming Learners at Training Time
Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson et al.
Character-Level Language Modeling with Deeper Self-Attention
Rami Al-Rfou, Dokook Choe, Noah Constant et al.
Model Learning for Look-Ahead Exploration in Continuous Control
Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki
An Exponential Tail Bound for the Deleted Estimate
Karim Abou–Moustafa, Csaba Szepesvári
State Abstraction as Compression in Apprenticeship Learning
David Abel, Dilip Arumugam, Kavosh Asadi et al.
On Completing Sparse Knowledge Base with Transitive Relation Embedding
Zili Zhou, Shaowu Liu, Guandong Xu et al.
Tracking Logical Difference in Large-Scale Ontologies: A Forgetting-Based Approach
Yizheng Zhao, Ghadah Alghamdi, Renate A. Schmidt et al.
Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test
Hao Zhang, Shuigeng Zhou, Chuanxu Yan et al.
TransGate: Knowledge Graph Embedding with Shared Gate Structure
Jun Yuan, Neng Gao, Ji Xiang
Reasoning over Streaming Data in Metric Temporal Datalog
Przemysław Andrzej Wałęga, Mark Kaminski, Bernardo Cuenca Grau
Safe Partial Diagnosis from Normal Observations
Roni Stern, Brendan Juba
Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach
Marlo Souza, Álvaro Moreira, Renata Vieira
Amalgamating Knowledge towards Comprehensive Classification
Chengchao Shen, Xinchao Wang, Jie Song et al.
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion
Chao Shang, Yun Tang, Jing Huang et al.
Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME
Farhad Shakerin, Gopal Gupta
An Open-World Extension to Knowledge Graph Completion Models
Haseeb Shah, Johannes Villmow, Adrian Ulges et al.
Efficient Concept Induction for Description Logics
Md Kamruzzaman Sarker, Pascal Hitzler