Presentations and Authors


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AAAI18 - Applications

Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence PDF
Xin Jin, Le Wu, Xiaodong Li, Siyu Chen, Siwei Peng, Jingying Chi, Shiming Ge, Chenggen Song, Geng Zhao
TIMERS: Error-Bounded SVD Restart on Dynamic Networks PDF
Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu

AAAI18 - Artificial Intelligence and the Web

Personalized Time-Aware Tag Recommendation PDF
Keqiang Wang, Yuanyuan Jin, Haofen Wang, Hongwei Peng, Xiaoling Wang
Unsupervised Generative Adversarial Cross-Modal Hashing PDF
Jian Zhang, Yuxin Peng, Mingkuan Yuan

AAAI18 - Cognitive Modeling

Thinking in PolAR Pictures: Using Rotation-Friendly Mental Images to Solve Leiter-R Form Completion PDF
Joshua H. Palmer, Maithilee Kunda

AAAI18 - Cognitive Systems

Style Transfer in Text: Exploration and Evaluation PDF
Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, Rui Yan
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph PDF
Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar

AAAI18 - Computational Sustainability and AI

Cellular Network Traffic Scheduling With Deep Reinforcement Learning PDF
Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics PDF
Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong

AAAI18 - Game Theory and Economic Paradigms

Effective Heuristics for Committee Scoring Rules PDF
Piotr Faliszewski, Martin Lackner, Dominik Peters, Nimrod Talmon
Weighted Voting Via No-Regret Learning PDF
Nika Haghtalab, Ritesh Noothigattu, Ariel D. Procaccia
On Recognising Nearly Single-Crossing Preferences PDF
Florian Jaeckle, Dominik Peters, Edith Elkind
Ranking Wily People Who Rank Each Other PDF
Anson Kahng, Yasmine Kotturi, Chinmay Kulkarni, David Kurokawa, Ariel D. Procaccia
Liquid Democracy: An Algorithmic Perspective PDF
Anson Kahng, Simon Mackenzie, Ariel D. Procaccia
Single-Peakedness and Total Unimodularity: New Polynomial-Time Algorithms for Multi-Winner Elections PDF
Dominik Peters
Fair Rent Division on a Budget PDF
Ariel D. Procaccia, Rodrigo A. Velez, Dingli Yu
Approximation-Variance Tradeoffs in Facility Location Games PDF
Ariel D. Procaccia, David Wajc, Hanrui Zhang
Incentive-Compatible Forecasting Competitions PDF
Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause

AAAI18 - Human Computation and Crowd Sourcing

A Voting-Based System for Ethical Decision Making PDF
Ritesh Noothigattu, Snehalkumar S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia
Deep Learning from Crowds PDF
Filipe Rodrigues, Francisco C. Pereira

AAAI18 - Humans and AI

Beyond Sparsity: Tree Regularization of Deep Models for Interpretability PDF
Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

AAAI18 - Knowledge Representation and Reasoning

LTLf/LDLf Non-Markovian Rewards PDF
Ronen I. Brafman, Giuseppe De Giacomo, Fabio Patrizi
SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings PDF
Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok
Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies PDF
Nicholas Hay, Michael Stark, Alexander Schlegel, Carter Wendelken, Dennis Park, Eric Purdy, Tom Silver, D. Scott Phoenix, Dileep George
Probabilistic Inference Over Repeated Insertion Models PDF
Batya Kenig, Lovro Ilijasić, Haoyue Ping, Benny Kimelfeld, Julia Stoyanovich
Repairing Ontologies via Axiom Weakening PDF
Nicolas Troquard, Roberto Confalonieri, Pietro Galliani, Rafael Peñaloza, Daniele Porello, Oliver Kutz
Incorporating GAN for Negative Sampling in Knowledge Representation Learning PDF
Peifeng Wang, Shuangyin Li, Rong Pan

AAAI18 - Machine Learning Applications

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction PDF
Brandon Ballinger, Johnson Hsieh, Avesh Singh, Nimit Sohoni, Jack Wang, Geoffrey H. Tison, Gregory M. Marcus, Jose M. Sanchez, Carol Maguire, Jeffrey E. Olgin, Mark J. Pletcher
HARP: Hierarchical Representation Learning for Networks PDF
Haochen Chen, Bryan Perozzi, Yifan Hu, Steven Skiena
The Geometric Block Model PDF
Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
Compressed Sensing MRI Using a Recursive Dilated Network PDF
Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John Paisley
WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation PDF
Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang
Data Poisoning Attacks on Multi-Task Relationship Learning PDF
Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan

AAAI18 - Machine Learning Methods

Gated-Attention Architectures for Task-Oriented Language Grounding PDF
Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov
Automatic Segmentation of Data Sequences PDF
Liangzhe Chen, Sorour E. Amiri, B. Aditya Prakash
Decomposition Strategies for Constructive Preference Elicitation PDF
Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini
Constructive Preference Elicitation Over Hybrid Combinatorial Spaces PDF
Paolo Dragone, Stefano Teso, Andrea Passerini
Learning Predictive State Representations From Non-Uniform Sampling PDF
Yuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup
When Waiting Is Not an Option: Learning Options With a Deliberation Cost PDF
Jean Harb, Pierre-Luc Bacon, Martin Klissarov, Doina Precup
Learning With Options That Terminate Off-Policy PDF
Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé
OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning PDF
Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup
Deep Reinforcement Learning That Matters PDF
Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger
Rainbow: Combining Improvements in Deep Reinforcement Learning PDF
Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Azar, David Silver
Deep Q-learning From Demonstrations PDF
Todd Hester, Matej Vecerik, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John Agapiou, Joel Z. Leibo, Audrunas Gruslys
Unified Spectral Clustering With Optimal Graph PDF
Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu
Imitation Learning via Kernel Mean Embedding PDF
Kee-Eung Kim, Hyun Soo Park
CoDiNMF: Co-Clustering of Directed Graphs via NMF PDF
Woosang Lim, Rundong Du, Haesun Park
Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data PDF
Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu
SAGA: A Submodular Greedy Algorithm for Group Recommendation PDF
Shameem A. Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla
Quantized Memory-Augmented Neural Networks PDF
Seongsik Park, Seijoon Kim, Seil Lee, Ho Bae, Sungroh Yoon
Adversarial Dropout for Supervised and Semi-Supervised Learning PDF
Sungrae Park, JunKeon Park, Su-Jin Shin, Il-Chul Moon
Alternating Optimisation and Quadrature for Robust Control PDF
Supratik Paul, Konstantinos Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson
Multi-Adversarial Domain Adaptation PDF
Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang
FiLM: Visual Reasoning with a General Conditioning Layer PDF
Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron Courville
Source Traces for Temporal Difference Learning PDF
Silviu Pitis
Randomized Clustered Nystrom for Large-Scale Kernel Machines PDF
Farhad Pourkamali-Anaraki, Stephen Becker, Michael B. Wakin
Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets PDF
Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Hélène Plisnier, Ann Nowé
Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction PDF
Wesley Tansey, Karl Pichotta, James G. Scott
Action Branching Architectures for Deep Reinforcement Learning PDF
Arash Tavakoli, Fabio Pardo, Petar Kormushev
Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks PDF
Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito
Zero-Shot Learning via Class-Conditioned Deep Generative Models PDF
Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin
On the ERM Principle With Networked Data PDF
Yuanhong Wang, Yuyi Wang, Xingwu Liu, Juhua Pu
Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding PDF
You-Lu Xing, Fu-Rao Shen, Jin-Xi Zhao, Jing-Xin Pan, Ah-Hwee Tan
Informed Non-Convex Robust Principal Component Analysis With Features PDF
Niannan Xue, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou
Tau-FPL: Tolerance-Constrained Learning in Linear Time PDF
Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha
Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps PDF
Kaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao
SC2Net: Sparse LSTMs for Sparse Coding PDF
Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh

AAAI18 - Multiagent Systems

Dilated FCN for Multi-Agent 2D/3D Medical Image Registration PDF
Shun Miao, Sebastien Piat, Peter Fischer, Ahmet Tuysuzoglu, Philip Mewes, Tommaso Mansi, Rui Liao
The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation PDF
Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic
Social Norms of Cooperation With Costly Reputation Building PDF
Fernando P. Santos, Jorge M. Pacheco, Francisco C. Santos

AAAI18 - NLP and Knowledge Representation

Actionable Email Intent Modeling With Reparametrized RNNs PDF
Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Patrick Pantel
AMR Parsing With Cache Transition Systems PDF
Xiaochang Peng, Daniel Gildea, Giorgio Satta
SPINE: SParse Interpretable Neural Embeddings PDF
Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard Hovy

AAAI18 - NLP and Machine Learning

Leveraging Lexical Substitutes for Unsupervised Word Sense Induction PDF
Domagoj Alagić, Jan Šnajder, Sebastian Padó
Empower Sequence Labeling with Task-Aware Neural Language Model PDF
Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han
Question-Answering with Grammatically-Interpretable Representations PDF
Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng
Canonical Correlation Inference for Mapping Abstract Scenes to Text PDF
Nikos Papasarantopoulos, Helen Jiang, Shay B. Cohen
Exploring the Terrain of Metaphor Novelty: A Regression-Based Approach for Automatically Scoring Metaphors PDF
Natalie Parde, Rodney D. Nielsen
Two Knowledge-based Methods for High-Performance Sense Distribution Learning PDF
Tommaso Pasini, Roberto Navigli
Attention-based Belief or Disbelief Feature Extraction for Dependency Parsing PDF
Haoyuan Peng, Lu Liu, Yi Zhou, Junying Zhou, Xiaoqing Zheng
Multi-Task Learning For Parsing The Alexa Meaning Representation Language PDF
Vittorio Perera, Tagyoung Chung, Thomas Kollar, Emma Strubell
Bayesian Verb Sense Clustering PDF
Daniel W Peterson, Martha Palmer
Order-Planning Neural Text Generation From Structured Data PDF
Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding PDF
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang
Learning Multi-Modal Word Representation Grounded in Visual Context PDF
Éloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari
Memory Fusion Network for Multi-view Sequential Learning PDF
Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency
Multi-attention Recurrent Network for Human Communication Comprehension PDF
Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency
Addressee and Response Selection in Multi-Party Conversations With Speaker Interaction RNNs PDF
Rui Zhang, Honglak Lee, Lazaros Polymenakos, Dragomir Radev
RNN-Based Sequence-Preserved Attention for Dependency Parsing PDF
Yi Zhou, Junying Zhou, Lu Liu, Jiangtao Feng, Haoyuan Peng, Xiaoqing Zheng

AAAI18 - NLP and Text Mining

Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM PDF
Yukun Ma, Haiyun Peng, Erik Cambria
Mention and Entity Description Co-Attention for Entity Disambiguation PDF
Feng Nie, Yunbo Cao, Jinpeng Wang, Chin-Yew Lin, Rong Pan
Content and Context: Two-Pronged Bootstrapped Learning for Regex-Formatted Entity Extraction PDF
Stanley Simoes, Deepak P, Munu Sairamesh, Deepak Khemani, Sameep Mehta
SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring PDF
Yi Tay, Minh C. Phan, Luu Anh Tuan, Siu Cheung Hui
Diagnosing and Improving Topic Models by Analyzing Posterior Variability PDF
Linzi Xing, Michael J. Paul

AAAI18 - Planning and Scheduling

Scheduling in Visual Fog Computing: NP-Completeness and Practical Efficient Solutions PDF
Hong-Min Chu, Shao-Wen Yang, Padmanabhan Pillai, Yen-Kuang Chen
Planning and Learning for Decentralized MDPs With Event Driven Rewards PDF
Tarun Gupta, Akshat Kumar, Praveen Paruchuri
Linear and Integer Programming-Based Heuristics for Cost-Optimal Numeric Planning PDF
Chiara Piacentini, Margarita P. Castro, Andre A. Cire, J. Christopher Beck
Sensor-Based Activity Recognition via Learning From Distributions PDF
Hangwei Qian, Sinno Jialin Pan, Chunyan Miao

AAAI18 - Reasoning under Uncertainty

RelNN: A Deep Neural Model for Relational Learning PDF
Seyed Mehran Kazemi, David Poole
Learning Robust Options PDF
Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor

AAAI18 - Robotics

Safe Reinforcement Learning via Formal Methods: Toward Safe Control Through Proof and Learning PDF
Nathan Fulton, André Platzer
Unsupervised Selection of Negative Examples for Grounded Language Learning PDF
Nisha Pillai, Cynthia Matuszek

AAAI18 - Search and Constraint Satisfaction

Parallel Algorithms for Operations on Multi-Valued Decision Diagrams PDF
Guillaume Perez, Jean-Charles Régin
Premise Set Caching for Enumerating Minimal Correction Subsets PDF
Alessandro Previti, Carlos Mencía, Matti Järvisalo, Joao Marques-Silva

AAAI18 - Vision

End-to-End United Video Dehazing and Detection PDF
Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng
PoseHD: Boosting Human Detectors Using Human Pose Information PDF
Zhijian Liu, Bowen Pan, Yuliang Xiu, Cewu Lu
Spatial as Deep: Spatial CNN for Traffic Scene Understanding PDF
Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, Xiaoou Tang
Adaptive Feature Abstraction for Translating Video to Text PDF
Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin
DLPaper2Code: Auto-Generation of Code From Deep Learning Research Papers PDF
Akshay Sethi, Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani

IAAI18 - Deployed

Horizontal Scaling With a Framework for Providing AI Solutions Within a Game Company PDF
John F. Kolen, Mohsen Sardari, Marwan Mattar, Nick Peterson, Meng Wu

IAAI18 - Emerging

Classification of Malware by Using Structural Entropy on Convolutional Neural Networks PDF
Daniel Gibert, Carles Mateu, Jordi Planes, Ramon Vicens
Multi-Task Deep Learning for Predicting Poverty From Satellite Images PDF
Shailesh M. Pandey, Tushar Agarwal, Narayanan C. Krishnan
Investigating the Role of Ensemble Learning in High-Value Wine Identification PDF
Luigi Portinale, Monica Locatelli
Gesture Annotation With a Visual Search Engine for Multimodal Communication Research PDF
Sergiy Turchyn, Inés Olza Moreno, Cristóbal Pagán Cánovas, Francis F. Steen, Mark Turner, Javier Valenzuela, Soumya Ray
Deep Mars: CNN Classification of Mars Imagery for the PDS Imaging Atlas PDF
Kiri L. Wagstaff, You Lu, Alice Stanboli, Kevin Grimes, Thamme Gowda, Jordan Padams

EAAI18 - Full Papers

Investigating Active Learning for Concept Prerequisite Learning PDF
Chen Liang, Jianbo Ye, Shuting Wang, Bart Pursel, C. Lee Giles
Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space PDF
Yuetian Luo, Zachary A. Pardos

Senior Track

Learning Constraints From Examples PDF
Luc De Raedt, Andrea Passerini, Stefano Teso
Engineering Pro-Sociality With Autonomous Agents PDF
Ana Paiva, Fernando P. Santos, Francisco C. Santos

Doctoral Consortium

Reading With Robots: Towards a Human-Robot Book Discussion System for Elderly Adults PDF
Natalie Parde
Cross-Lingual Learning With Distributed Representations PDF
Matúš Pikuliak

Student Abstracts

Towards Experienced Anomaly Detector Through Reinforcement Learning PDF
Chengqiang Huang, Yulei Wu, Yuan Zuo, Ke Pei, Geyong Min
Imitation Upper Confidence Bound for Bandits on a Graph PDF
Andrei Lupu, Doina Precup
Goal Recognition in Incomplete Domain Models PDF
Ramon Fraga Pereira, Felipe Meneguzzi
Playing SNES Games With NeuroEvolution of Augmenting Topologies PDF
Son Pham, Keyi Zhang, Tung Phan, Jasper Ding, Christopher L. Dancy
Automated Question Answering System for Community-Based Questions PDF
Chanin Pithyaachariyakul, Anagha Kulkarni
Memory Management With Explicit Time in Resource-Bounded Agents PDF
Valentina Pitoni
Comparing Reward Shaping, Visual Hints, and Curriculum Learning PDF
Rey Pocius, David Isele, Mark Roberts, David W. Aha
Adversary Is the Best Teacher: Towards Extremely Compact Neural Networks PDF
Ameya Prabhu, Harish Krishna, Soham Saha
Indirect Reciprocity and Costly Assessment in Multiagent Systems PDF
Fernando P. Santos, Jorge M. Pacheco, Francisco C. Santos
Relating Children’s Automatically Detected Facial Expressions to Their Behavior in RoboTutor PDF
Mayank Saxena, Rohith Krishnan Pillai, Jack Mostow

Demonstrations

A Unified Implicit Dialog Framework for Conversational Commerce PDF
Song Feng, R. Chulaka Gunasekara, Sunil Shashidhara, Kshitij P. Fadnis, Lazaros C. Polymenakos
Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning PDF
Beom-Jin Lee, Jinyoung Choi, Chung-Yeon Lee, Kyung-Wha Park, Sungjun Choi, Cheolho Han, Dong-Sig Han, Christina Baek, Patrick Mokodir Emaase, Byoung-Tak Zhang
Dataset Evolver: An Interactive Feature Engineering Notebook PDF
Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak Turaga
PegasusN: A Scalable and Versatile Graph Mining System PDF
Ha-Myung Park, Chiwan Park, U Kang
Democratization of Deep Learning Using DARVIZ PDF
Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani, Akshay Sethi, Rahul Aralikatte, Neelamadhav Gantayat


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