Presentations and Authors


Last name A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Track:
 

Artificial Intelligence and the Web

Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes PDF
Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda
Treatment Effect Estimation with Data-Driven Variable Decomposition PDF
Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang
Correlated Cascades: Compete or Cooperate PDF
Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha
Expectile Matrix Factorization for Skewed Data Analysis PDF
Rui Zhu, Di Niu, Linglong Kong, Zongpeng Li

Game Theory and Economic Paradigms

Incentivising Monitoring in Open Normative Systems PDF
Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan
Dynamic Thresholding and Pruning for Regret Minimization PDF
Noam Brown, Christian Kroer, Tuomas Sandholm
Optimizing Positional Scoring Rules for Rank Aggregation PDF
Ioannis Caragiannis, Xenophon Chatzigeorgiou, George A. Krimpas, Alexandros A. Voudouris
Approximation and Parameterized Complexity of Minimax Approval Voting PDF
Marek Cygan, Łukasz Kowalik, Arkadiusz Socała, Krzysztof Sornat
Small Representations of Big Kidney Exchange Graphs PDF
John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm
Optimal Pricing for Submodular Valuations with Bounded Curvature PDF
Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi
Proper Proxy Scoring Rules PDF
Jens Witkowski, Pavel Atanasov, Lyle H. Ungar, Andreas Krause

Heuristic Search and Optimization

A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search PDF
Tobias Friedrich, Timo Kötzing, Markus Wagner
Systematic Exploration of Larger Local Search Neighborhoods for the Minimum Vertex Cover Problem PDF
Maximilian Katzmann, Christian Komusiewicz

Human-Aware Artificial Intelligence

Collaborative Planning with Encoding of Users' High-Level Strategies PDF
Joseph Kim, Christopher J. Banks, Julie A. Shah

Human Computation and Crowd Sourcing

Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process PDF
Takeru Sunahase, Yukino Baba, Hisashi Kashima

Humans and Artificial Intelligence

Psychologically Based Virtual-Suspect for Interrogative Interview Training PDF
Moshe Bitan, Galit Nahari, Zvi Nisin, Ariel Roth, Sarit Kraus
PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering PDF
Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems PDF
Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann

Knowledge Representation and Reasoning

Source Information Disclosure in Ontology-Based Data Integration PDF
Michael Benedikt, Bernardo Cuenca Grau, Egor V. Kostylev
Ontology-Based Data Access with a Horn Fragment of Metric Temporal Logic PDF
Sebastian Brandt, Elem Güzel Kalaycı, Roman Kontchakov, Vladislav Ryzhikov, Guohui Xiao, Michael Zakharyaschev
Ontology Materialization by Abstraction Refinement in Horn SHOIF PDF
Birte Glimm, Yevgeny Kazakov, Trung-Kien Tran
Entropic Causal Inference PDF
Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi
SAT Encodings for Distance-Based Belief Merging Operators PDF
Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis
Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery PDF
Heng-Yang Lu, Lu-Yao Xie, Ning Kang, Chong-Jun Wang, Jun-Yuan Xie
The Symbolic Interior Point Method PDF
Martin Mladenov, Vaishak Belle, Kristian Kersting
Small Is Beautiful: Computing Minimal Equivalent EL Concepts PDF
Nadeschda Nikitina, Patrick Koopmann
Trust-Sensitive Evolution of DL-Lite Knowledge Bases PDF
Dmitriy Zheleznyakov, Evgeny Kharlamov, Ian Horrocks

Machine Learning Applications

DeepFix: Fixing Common C Language Errors by Deep Learning PDF
Rahul Gupta, Soham Pal, Aditya Kanade, Shirish Shevade
Contextual RNN-GANs for Abstract Reasoning Diagram Generation PDF
Viveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay Namboodiri, Mohit Bansal
A Framework for Minimal Clustering Modification via Constraint Programming PDF
Chia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson
Predicting Demographics of High-Resolution Geographies with Geotagged Tweets PDF
Omar Montasser, Daniel Kifer
Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU PDF
Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka

Machine Learning Methods

Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning PDF
Apoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain
Robust Partially-Compressed Least-Squares PDF
Stephen Becker, Ban Kawas, Marek Petrik
PAC Identification of a Bandit Arm Relative to a Reward Quantile PDF
Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan
Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting PDF
Lin Chen, Hamed Hassani, Amin Karbasi
Low-Rank Factorization of Determinantal Point Processes PDF
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
Robust Loss Functions under Label Noise for Deep Neural Networks PDF
Aritra Ghosh, Himanshu Kumar, P. S. Sastry
Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm PDF
Xiawei Guo, Quanming Yao, James Tin-Yau Kwok
Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling PDF
Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi
Twin Learning for Similarity and Clustering: A Unified Kernel Approach PDF
Zhao Kang, Chong Peng, Qiang Cheng
Tunable Sensitivity to Large Errors in Neural Network Training PDF
Gil Keren, Sivan Sabato, Björn Schuller
Binary Embedding with Additive Homogeneous Kernels PDF
Saehoon Kim, Seungjin Choi
Structured Inference Networks for Nonlinear State Space Models PDF
Rahul G. Krishnan, Uri Shalit, David Sontag
Estimating Uncertainty Online Against an Adversary PDF
Volodymyr Kuleshov, Stefano Ermon
Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance PDF
Atsutoshi Kumagai, Tomoharu Iwata
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration PDF
Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz
Transfer Learning for Deep Learning on Graph-Structured Data PDF
Jaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon
Multivariate Hawkes Processes for Large-Scale Inference PDF
Rémi Lemonnier, Kevin Scaman, Argyris Kalogeratos
Sparse Subspace Clustering by Learning Approximation ℓ0 Codes PDF
Jun Li, Yu Kong, Yun Fu
Lifted Inference for Convex Quadratic Programs PDF
Martin Mladenov, Leonard Kleinhans, Kristian Kersting
Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions PDF
Alejandro Molina, Sriraam Natarajan, Kristian Kersting
Spectral Clustering with Brainstorming Process for Multi-View Data PDF
Jeong-Woo Son, Junkey Jeon, Alex Lee, Sun-Joong Kim
Selecting Sequences of Items via Submodular Maximization PDF
Sebastian Tschiatschek, Adish Singla, Andreas Krause
Regularization for Unsupervised Deep Neural Nets PDF
Baiyang Wang, Diego Klabjan
Polynomial Optimization Methods for Matrix Factorization PDF
Po-Wei Wang, Chun-Liang Li, J. Zico Kolter
Improving Efficiency of SVM k-Fold Cross-Validation by Alpha Seeding PDF
Zeyi Wen, Bin Li, Ramamohanarao Kotagiri, Jian Chen, Yawen Chen, Rui Zhang
Learning Deep Latent Space for Multi-Label Classification PDF
Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang
CBRAP: Contextual Bandits with RAndom Projection PDF
Xiaotian Yu, Michael R. Lyu, Irwin King
Parametric Dual Maximization for Non-Convex Learning Problems PDF
Yuxun Zhou, Zhaoyi Kang, Costas J. Spanos

Multiagent Systems

Kont: Computing Tradeoffs in Normative Multiagent Systems PDF
Ozgur Kafali, Nirav Ajmeri, Munindar P. Singh
Parameterised Verification of Infinite State Multi-Agent Systems via Predicate Abstraction PDF
Panagiotis Kouvaros, Alessio Lomuscio
Decentralized Planning in Stochastic Environments with Submodular Rewards PDF
Rajiv Ranjan Kumar, Pradeep Varakantham, Akshat Kumar
Collective Multiagent Sequential Decision Making Under Uncertainty PDF
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau

Natural Language Processing and Machine Learning

Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge PDF
Matt Gardner, Jayant Krishnamurthy
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation PDF
Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron Courville

Natural Language Processing and Text Mining

Using Discourse Signals for Robust Instructor Intervention Prediction PDF
Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane J. Litman
Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks PDF
Canasai Kruengkrai, Kentaro Torisawa, Chikara Hashimoto, Julien Kloetzer, Jong-Hoon Oh, Masahiro Tanaka
Collaborative User Clustering for Short Text Streams PDF
Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas

Planning and Scheduling

An Analysis of Monte Carlo Tree Search PDF
Steven James, George Konidaris, Benjamin Rosman
Multi-Agent Path Finding with Delay Probabilities PDF
Hang Ma, T. K. Satish Kumar, Sven Koenig
Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical Planning PDF
Jendrik Seipp, Thomas Keller, Malte Helmert

Reasoning under Uncertainty

The Kernel Kalman Rule — Efficient Nonparametric Inference with Recursive Least Squares PDF
Gregor H. W. Gebhardt, Andras Kupcsik, Gerhard Neumann
Reasoning about Cognitive Trust in Stochastic Multiagent Systems PDF
Xiaowei Huang, Marta Zofia Kwiatkowska
Hindsight Optimization for Hybrid State and Action MDPs PDF
Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern

Robotics

Dynamically Constructed (PO)MDPs for Adaptive Robot Planning PDF
Shiqi Zhang, Piyush Khandelwal, Peter Stone

Search and Constraint Satisfaction

Phase Transitions for Scale-Free SAT Formulas PDF
Tobias Friedrich, Anton Krohmer, Ralf Rothenberger, Andrew M. Sutton

Vision

Detection and Recognition of Text Embedded in Online Images via Neural Context Models PDF
Chulmoo Kang, Gunhee Kim, Suk I. Yoo
Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network PDF
Suha Kwak, Seunghoon Hong, Bohyung Han
An Artificial Agent for Robust Image Registration PDF
Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu

Special Track on Cognitive Systems

Goal Operations for Cognitive Systems PDF
Michael T. Cox, Dustin Dannenhauer, Sravya Kondrakunta
Scanpath Complexity: Modeling Reading Effort Using Gaze Information PDF
Abhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey, Pushpak Bhattacharyya

Special Track on Computational Sustainability

Fine-Grained Car Detection for Visual Census Estimation PDF
Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei
Combining Satellite Imagery and Open Data to Map Road Safety PDF
Alameen Najjar, Shun’ichi Kaneko, Yoshikazu Miyanaga
Robust Optimization for Tree-Structured Stochastic Network Design PDF
Xiaojian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein

Special Track on Integrated Systems

Mixed Discrete-Continuous Planning with Convex Optimization PDF
Enrique Fernandez-Gonzalez, Erez Karpas, Brian Williams
Configuration Planning with Temporal Constraints PDF
Uwe Köckemann, Lars Karlsson

EAAI Model AI Assignments

Model AI Assignments 2017 PDF
Todd W. Neller, Joshua Eckroth, Sravana Reddy, Joshua Ziegler, Jason Bindewald, Gilbert Peterson, Thomas Way, Paula Matuszek, Lillian Cassel, Mary-Angela Papalaskari, Carol Weiss, Ariel Anders, Sertac Karaman

Senior Member Blue Sky

Moral Decision Making Frameworks for Artificial Intelligence PDF
Vincent Conitzer, Walter Sinnott-Armstrong, Jana Schaich Borg, Yuan Deng, Max Kramer

Student Abstracts

Kernelized Evolutionary Distance Metric Learning for Semi-Supervised Clustering PDF
Wasin Kalintha, Satoshi Ono, Masayuki Numao, Ken-ichi Fukui
Redesigning Stochastic Environments for Maximized Utility PDF
Sarah Keren, Avigdor Gal, Erez Karpas, Luis Pineda, Shlomo Zilberstein
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes PDF
Taylor W. Killian, George Konidaris, Finale Doshi-Velez
Wikitop: Using Wikipedia Category Network to Generate Topic Trees PDF
Saravana Kumar, Prasath Rengarajan, Arockia Xavier Annie
Community-Based Question Answering via Contextual Ranking Metric Network Learning PDF
Hanqing Lu, Ming Kong
Semantic Interpretation of Social Network Communities PDF
Tushar Maheshwari, Aishwarya N. Reganti, Upendra Kumar, Tanmoy Chakraborty, Amitava Das
Plan Recognition Design PDF
Reuth Mirsky, Roni Stern, Ya'akov (Kobi) Gal, Meir Kalech
A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty PDF
Wen Song, Donghun Kang, Jie Zhang, Hui Xi
Predicting User Roles from Computer Logs Using Recurrent Neural Networks PDF
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson

Demonstrations

Efficient Clinical Concept Extraction in Electronic Medical Records PDF
Yufan Guo, Deepika Kakrania, Tyler Baldwin, Tanveer Syeda-Mahmood
Visual Memory QA: Your Personal Photo and Video Search Agent PDF
Lu Jiang, LiangLiang Cao, Yannis Kalantidis, Sachin Farfade, Alex Hauptmann
Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation PDF
Aditya Joshi, Diptesh Kanojia, Pushpak Bhattacharyya, Mark Carman


Copyright © 2018 Association for the Advancement of Artificial Intelligence. All Rights Reserved.