Papers
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
Kaidi Xu, Hongge Chen, Sijia Liu et al.
Topology Optimization based Graph Convolutional Network
Liang Yang, Zesheng Kang, Xiaochun Cao et al.
Toward Efficient Navigation of Massive-Scale Geo-Textual Streams
Chengcheng Yang, Lisi Chen, Shuo Shang et al.
Towards Architecture-Agnostic Neural Transfer: a Knowledge-Enhanced Approach
Seán Quinn, Alessandra Mileo
Towards Discriminative Representation Learning for Speech Emotion Recognition
Runnan Li, Zhiyong Wu, Jia Jia et al.
Towards Efficient Detection and Optimal Response against Sophisticated Opponents
Tianpei Yang, Jianye Hao, Zhaopeng Meng et al.
Towards Robust ResNet: A Small Step but a Giant Leap
Jingfeng Zhang, Bo Han, Laura Wynter et al.
Transferable Adversarial Attacks for Image and Video Object Detection
Xingxing Wei, Siyuan Liang, Ning Chen et al.
Transfer of Temporal Logic Formulas in Reinforcement Learning
Zhe Xu, Ufuk Topcu
TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics
Shihui Yang, Jidong Tian, Honglun Zhang et al.
Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation Approach
Wuwei Lan, Yanyan Xu, Bin Zhao
Tree Sampling Divergence: An Information-Theoretic Metric for Hierarchical Graph Clustering
Bertrand Charpentier, Thomas Bonald
Trend-Aware Tensor Factorization for Job Skill Demand Analysis
Xunxian Wu, Tong Xu, Hengshu Zhu et al.
Triplet Enhanced AutoEncoder: Model-free Discriminative Network Embedding
Yao Yang, Haoran Chen, Junming Shao
Truly Batch Apprenticeship Learning with Deep Successor Features
Donghun Lee, Srivatsan Srinivasan, Finale Doshi-Velez
Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models
Harold Soh, Shu Pan, Min Chen et al.
Two-Stage Generative Models of Simulating Training Data at The Voxel Level for Large-Scale Microscopy Bioimage Segmentation
Deli Wang, Ting Zhao, Nenggan Zheng et al.
Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation
Zekai Wang, Hongzhi Liu, Yingpeng Du et al.
Unifying the Stochastic and the Adversarial Bandits with Knapsack
Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
Unit Selection Based on Counterfactual Logic
Ang Li, Judea Pearl
Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts
Hamoon Azizsoltani, Yeo Jin Kim, Markel Sanz Ausin et al.
Unsupervised Embedding Enhancements of Knowledge Graphs using Textual Associations
Neil Veira, Brian Keng, Kanchana Padmanabhan et al.
Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations
Katherine Metcalf, David Leake