Papers
Extensible Cross-Modal Hashing
Tian-yi Chen, Lan Zhang, Shi-cong Zhang et al.
Extracting Entities and Events as a Single Task Using a Transition-Based Neural Model
Junchi Zhang, Yanxia Qin, Yue Zhang et al.
Extrapolating Paths with Graph Neural Networks
Jean-Baptiste Cordonnier, Andreas Loukas
FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Distributed Neural Networks
Qi Xia, Zeyi Tao, Zijiang Hao et al.
Face Photo-Sketch Synthesis via Knowledge Transfer
Mingrui Zhu, Nannan Wang, Xinbo Gao et al.
FAHT: An Adaptive Fairness-aware Decision Tree Classifier
Wenbin Zhang, Eirini Ntoutsi
Fair Allocation of Indivisible Goods and Chores
Haris Aziz, Ioannis Caragiannis, Ayumi Igarashi et al.
Fair and Explainable Dynamic Engagement of Crowd Workers
Han Yu, Yang Liu, Xiguang Wei et al.
Fairness Towards Groups of Agents in the Allocation of Indivisible Items
Nawal Benabbou, Mithun Chakraborty, Edith Elkind et al.
Fair Online Allocation of Perishable Goods and its Application to Electric Vehicle Charging
Enrico H. Gerding, Alvaro Perez-Diaz, Haris Aziz et al.
Fairwalk: Towards Fair Graph Embedding
Tahleen Rahman, Bartlomiej Surma, Michael Backes et al.
FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data
Haipeng Chen, Sushil Jajodia, Jing Liu et al.
FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized Settings
Moin Hussain Moti, Dimitris Chatzopoulos, Pan Hui et al.
Fast Algorithm for K-Truss Discovery on Public-Private Graphs
Soroush Ebadian, Xin Huang
Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons
Rong Xiao, Qiang Yu, Rui Yan et al.
Fast and Robust Multi-View Multi-Task Learning via Group Sparsity
Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent
Shuheng Shen, Linli Xu, Jingchang Liu et al.
Faster Dynamic Controllability Checking in Temporal Networks with Integer Bounds
Nikhil Bhargava, Brian C. Williams
Feature Evolution Based Multi-Task Learning for Collaborative Filtering with Social Trust
Qitian Wu, Lei Jiang, Xiaofeng Gao et al.
Feature-level Deeper Self-Attention Network for Sequential Recommendation
Tingting Zhang, Pengpeng Zhao, Yanchi Liu et al.
Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial Robustness
Chihuang Liu, Joseph JaJa
Finding Justifications by Approximating Core for Large-scale Ontologies
Mengyu Gao, Yuxin Ye, Dantong Ouyang et al.
Finding Optimal Solutions in HTN Planning - A SAT-based Approach
Gregor Behnke, Daniel Höller, Susanne Biundo
Finding Statistically Significant Interactions between Continuous Features
Mahito Sugiyama, Karsten Borgwardt