Papers
Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks
Chetan Kumar, Riazat Ryan, Ming Shao
A Forest from the Trees: Generation through Neighborhoods
Yang Li, Tianxiang Gao, Junier Oliva
A Framework for Engineering Human/Agent Teaming Systems
Rick Evertsz, John Thangarajah
A Framework for Measuring Information Asymmetry
Yakoub Salhi
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks
Jinghui Chen, Dongruo Zhou, Jinfeng Yi et al.
A General Approach to Fairness with Optimal Transport
Chiappa Silvia, Jiang Ray, Stepleton Tom et al.
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces
Anne Lauscher, Goran Glavaš, Simone Paolo Ponzetto et al.
A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing
Wei Liu, Pingping Zhang, Yinjie Lei et al.
Age Progression and Regression with Spatial Attention Modules
Qi Li, Yunfan Liu, Zhenan Sun
Aggregated Gradient Langevin Dynamics
Chao Zhang, Jiahao Xie, Zebang Shen et al.
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers
Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh et al.
Aggregation of Perspectives Using the Constellations Approach to Probabilistic Argumentation
Anthony Hunter, Kawsar Noor
A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
Ziqi Ke, Haris Vikalo
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection
Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux
AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks
Haomin Yu, Qingyong Li, Yangli-ao Geng et al.
AI Trust in Business Processes: The Need for Process-Aware Explanations
Steve T.K. Jan, Vatche Ishakian, Vinod Muthusamy
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency
Amir Veyseh, Franck Dernoncourt, Dejing Dou et al.
A Knowledge-Aware Attentional Reasoning Network for Recommendation
Qiannan Zhu, Xiaofei Zhou, Jia Wu et al.
A Knowledge Transfer Framework for Differentially Private Sparse Learning
Lingxiao Wang, Quanquan Gu
A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis
Shai Gretz, Roni Friedman, Edo Cohen-Karlik et al.
A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems
Yanli Liu, Chu-Min Li, Hua Jiang et al.
Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract)
Aria Khademi, Vasant Honavar
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction
Vishal Jain, William Fedus, Hugo Larochelle et al.
Algorithms for Manipulating Sequential Allocation
Mingyu Xiao, Jiaxing Ling
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
Aditya Grover, Christopher Chute, Rui Shu et al.