Artificial Intelligence: Authors and titles for recent submissions

Fri, 26 May 2017

[1]  arXiv:1705.09231 [pdf, other]

Neural Attribute Machines for Program Generation

Matthew Amodio, Swarat Chaudhuri, Thomas Reps

Subjects: Artificial Intelligence (cs.AI); Programming Languages (cs.PL)

[2]  arXiv:1705.09218 [pdf, other]

Finding Robust Solutions to Stable Marriage

Begum Genc, Mohamed Siala, Barry O'Sullivan, Gilles Simonin

Comments: Accepted for IJCAI 2017

Subjects: Artificial Intelligence (cs.AI)

[3]  arXiv:1705.09058 [pdf, other]

An Empirical Analysis of Approximation Algorithms for the Euclidean Traveling Salesman Problem

Yihui He, Ming Xiang

Comments: 4 pages, 5 figures

Subjects: Artificial Intelligence (cs.AI)

[4]  arXiv:1705.09045 [pdf, other]

Cross-Domain Perceptual Reward Functions

Ashley D. Edwards, Charles L. Isbell Jr

Comments: A shorter version of this paper was accepted to RLDM (this http URL)

Subjects: Artificial Intelligence (cs.AI)

[5]  arXiv:1705.08997 [pdf, other]

State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning

Himanshu Sahni, Saurabh Kumar, Farhan Tejani, Yannick Schroecker, Charles Isbell

Comments: 5 pages, 6 figures; 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2017), Ann Arbor, Michigan

Subjects: Artificial Intelligence (cs.AI); Learning (cs.LG); Machine Learning (stat.ML)

[6]  arXiv:1705.08968 [pdf, other]

Logic Tensor Networks for Semantic Image Interpretation

Ivan Donadello, Luciano Serafini, Artur d'Avila Garcez

Comments: 14 pages, 2 figures, IJCAI 2017

Subjects: Artificial Intelligence (cs.AI)

[7]  arXiv:1705.08961 [pdf, other]

Efficient, Safe, and Probably Approximately Complete Learning of Action Models

Roni Stern, Brendan Juba

Journal-ref: International Joint Conference on Artificial Intelligence (IJCAI) 2017

Subjects: Artificial Intelligence (cs.AI)

[8]  arXiv:1705.08926 [pdf, other]

Counterfactual Multi-Agent Policy Gradients

Jakob Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson

Subjects: Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA)

[9]  arXiv:1705.09279 (cross-list from cs.LG) [pdf, other]

Filtering Variational Objectives

Chris J. Maddison, Dieterich Lawson, George Tucker, Nicolas Heess, Mohammad Norouzi, Andriy Mnih, Arnaud Doucet, Yee Whye Teh

Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)

[10]  arXiv:1705.09026 (cross-list from cs.LG) [pdf, ps, other]

Online Edge Grafting for Efficient MRF Structure Learning

Walid Chaabene, Bert Huang

Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[11]  arXiv:1705.09011 (cross-list from cs.LG) [pdf, other]

Principled Hybrids of Generative and Discriminative Domain Adaptation

Han Zhao, Zhenyao Zhu, Junjie Hu, Adam Coates, Geoff Gordon

Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI)

[12]  arXiv:1705.08982 (cross-list from cs.LG) [pdf, other]

Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks

Shuai Xiao, Junchi Yan, Stephen M. Chu, Xiaokang Yang, Hongyuan Zha

Comments: Accepted at Thirty-First AAAI Conference on Artificial Intelligence (AAAI17)

Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[13]  arXiv:1705.08927 (cross-list from quant-ph) [pdf, other]

Compiling Quantum Circuits to Realistic Hardware Architectures using Temporal Planners

Davide Venturelli, Minh Do, Eleanor Rieffel, Jeremy Frank

Journal-ref: related to proceedings of IJCAI 2017, and ICAPS SPARK Workshop 2017

Subjects: Quantum Physics (quant-ph); Artificial Intelligence (cs.AI); Emerging Technologies (cs.ET); Systems and Control (cs.SY)

[14]  arXiv:1705.08804 (cross-list from cs.IR) [pdf, ps, other]

Beyond Parity: Fairness Objectives for Collaborative Filtering

Sirui Yao, Bert Huang

Subjects: Information Retrieval (cs.IR); Artificial Intelligence (cs.AI); Learning (cs.LG); Machine Learning (stat.ML)

Thu, 25 May 2017 (showing first 11 of 14 entries)

[15]  arXiv:1705.08844 [pdf, other]

How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval

Rodrigo Toro Icarte, Jorge A. Baier, Cristian Ruz, Alvaro Soto

Comments: Accepted in IJCAI-17

Subjects: Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Information Retrieval (cs.IR)

[16]  arXiv:1705.08807 [pdf, other]

When Will AI Exceed Human Performance? Evidence from AI Experts

Katja Grace, John Salvatier, Allan Dafoe, Baobao Zhang, Owain Evans

Subjects: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)

[17]  arXiv:1705.08690 [pdf, other]

Continual Learning with Deep Generative Replay

Hanul Shin, Jung Kwon Lee, Jaehong Kim, Jiwon Kim

Comments: Submitted to NIPS 2017

Subjects: Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)

[18]  arXiv:1705.08520 [pdf]

An effective algorithm for hyperparameter optimization of neural networks

Gonzalo Diaz, Achille Fokoue, Giacomo Nannicini, Horst Samulowitz

Subjects: Artificial Intelligence (cs.AI); Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)

[19]  arXiv:1705.08509 [pdf]

Predictive Analytics for Enhancing Travel Time Estimation in Navigation Apps of Apple, Google, and Microsoft

Pouria Amirian, Anahid Basiri, Jeremy Morley

Subjects: Artificial Intelligence (cs.AI)

[20]  arXiv:1705.08492 [pdf, other]

Uplift Modeling with Multiple Treatments and General Response Types

Yan Zhao, Xiao Fang, David Simchi-Levi

Subjects: Artificial Intelligence (cs.AI)

[21]  arXiv:1705.08868 (cross-list from cs.LG) [pdf, other]

Flow-GAN: Bridging implicit and prescribed learning in generative models

Aditya Grover, Manik Dhar, Stefano Ermon

Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)

[22]  arXiv:1705.08850 (cross-list from cs.LG) [pdf, other]

Improved Semi-supervised Learning with GANs using Manifold Invariances

Abhishek Kumar, Prasanna Sattigeri, P. Thomas Fletcher

Comments: 16 pages, 7 figures

Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[23]  arXiv:1705.08551 (cross-list from stat.ML) [pdf, other]

Safe Model-based Reinforcement Learning with Stability Guarantees

Felix Berkenkamp, Matteo Turchetta, Angela P. Schoellig, Andreas Krause

Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Learning (cs.LG); Systems and Control (cs.SY)

[24]  arXiv:1705.08508 (cross-list from cs.CY) [pdf, other]

Vehicle Traffic Driven Camera Placement for Better Metropolis Security Surveillance

Xiaobo Ma, Yihui He, Xiapu Luo, Jianfeng Li, Mengchen Zhao, Bo An, Xiaohong Guan

Comments: 10 pages, 2 figures, under review for IEEE Intelligent Systems

Subjects: Computers and Society (cs.CY); Artificial Intelligence (cs.AI); Computer Science and Game Theory (cs.GT)

[25]  arXiv:1705.08500 (cross-list from cs.LG) [pdf, other]

Selective Classification for Deep Neural Networks

Yonatan Geifman, Ran El-Yaniv

Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI)