Papers
Consensual Affine Transformations for Partial Valuation Aggregation
Hermann Schichl, Meinolf Sellmann
Be Inaccurate but Don’t Be Indecisive: How Error Distribution Can Affect User Experience
Rafael R. Padovani, Lucas N. Ferreira, Levi H. S. Lelis
Goal-Oriented Dialogue Policy Learning from Failures
Keting Lu, Shiqi Zhang, Xiaoping Chen
Lipper: Synthesizing Thy Speech Using Multi-View Lipreading
Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik et al.
Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm
Lin Chen, Lei Xu, Shouhuai Xu et al.
AI-Sketcher : A Deep Generative Model for Producing High-Quality Sketches
Nan Cao, Xin Yan, Yang Shi et al.
Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI
Abhay M S Aradhya, Aditya Joglekar, Sundaram Suresh et al.
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning
Ziyu Yao, Xiujun Li, Jianfeng Gao et al.
FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions
Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee
Augmenting Markov Decision Processes with Advising
Loïs Vanhée, Laurent Jeanpierre, Abdel-Illah Mouaddib
Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior
Vaibhav V. Unhelkar, Julie A. Shah
Generation of Policy-Level Explanations for Reinforcement Learning
Nicholay Topin, Manuela Veloso
Geometry-Aware Face Completion and Editing
Linsen Song, Jie Cao, Lingxiao Song et al.
Deep Neural Networks Constrained by Decision Rules
Yuzuru Okajima, Kunihiko Sadamasa
RGBD Based Gaze Estimation via Multi-Task CNN
Dongze Lian, Ziheng Zhang, Weixin Luo et al.
A Unified Framework for Planning in Adversarial and Cooperative Environments
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati
Task Transfer by Preference-Based Cost Learning
Mingxuan Jing, Xiaojian Ma, Wenbing Huang et al.
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time
Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern et al.
Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding
Andrew Forney, Elias Bareinboim
Verifying Robustness of Gradient Boosted Models
Gil Einziger, Maayan Goldstein, Yaniv Sa’ar et al.
Human-in-the-Loop Feature Selection
Alvaro H. C. Correia, Freddy Lecue
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
Gagan Bansal, Besmira Nushi, Ece Kamar et al.
Making Money from What You Know - How to Sell Information?
Shani Alkoby, Zihe Wang, David Sarne et al.
One-Network Adversarial Fairness
Tameem Adel, Isabel Valera, Zoubin Ghahramani et al.