AAAI 2018
1100 papers
A Cognitive Assistant for Visualizing and Analyzing Exoplanets
Jeffrey O. Kephart, Victor C. Dibia, Jason B. Ellis, Biplav Srivastava, Kartik Talamadupula, Mishal Dholakia A Deep Generative Framework for Paraphrase Generation
Ankush Gupta, Arvind Agarwal, Prawaan Singh, Piyush Rai A Framework and Positive Results for IAR-Answering
Despoina Trivela, Giorgos Stoilos, Vasilis Vassalos A Knowledge-Grounded Neural Conversation Model
Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley A Multi-View Fusion Neural Network for Answer Selection
Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui A Network-Specific Markov Random Field Approach to Community Detection
Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang A Neural Stochastic Volatility Model
Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang A New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction
Dingmin Wang, Gabriel Pui Cheong Fung, Maxime Debosschere, Shichao Dong, Jia Zhu, Kam-Fai Wong A Novel Embedding Method for News Diffusion Prediction
Ruoran Liu, Qiudan Li, Can Wang, Lei Wang, Daniel Dajun Zeng A Provable Approach for Double-Sparse Coding
Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde A Semi-Supervised Network Embedding Model for Protein Complexes Detection
Wei Zhao, Jia Zhu, Min Yang, Danyang Xiao, Gabriel Pui Cheong Fung, Xiaojun Chen A Unified Implicit Dialog Framework for Conversational Commerce
Song Feng, R. Chulaka Gunasekara, Sunil Shashidhara, Kshitij P. Fadnis, Lazaros C. Polymenakos A Voting-Based System for Ethical Decision Making
Ritesh Noothigattu, Snehalkumar (Neil) S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia A Water Demand Prediction Model for Central Indiana
Setu Shah, Mahmood Hosseini, Zina Ben Miled, Rebecca Shafer, Steve Berube Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion
Weiyao Lin, Chongyang Zhang, Ke Lu, Bin Sheng, Jianxin Wu, Bingbing Ni, Xin Liu, Hongkai Xiong Actionable Email Intent Modeling with Reparametrized RNNs
Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Patrick Pantel AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training
Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan AdaFlock: Adaptive Feature Discovery for Human-in-the-Loop Predictive Modeling
Ryusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima Adapting a Kidney Exchange Algorithm to Align with Human Values
Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer Adaptive Graph Convolutional Neural Networks
Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang Adaptive Quantization for Deep Neural Network
Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard AdGAP: Advanced Global Average Pooling
Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury Adversarial Learning for Chinese NER from Crowd Annotations
YaoSheng Yang, Meishan Zhang, Wenliang Chen, Wei Zhang, Haofen Wang, Min Zhang Adversarial Network Embedding
Quanyu Dai, Qiang Li, Jian Tang, Dan Wang Adversarial Zero-Shot Learning with Semantic Augmentation
Bin Tong, Martin Klinkigt, Junwen Chen, Xiankun Cui, Quan Kong, Tomokazu Murakami, Yoshiyuki Kobayashi Agent Assist: Automating Enterprise IT Support Help Desks
Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan AI Meets Chemistry
Akihiro Kishimoto, Beat Buesser, Adi Botea Alternating Optimisation and Quadrature for Robust Control
Supratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson AMR Parsing with Cache Transition Systems
Xiaochang Peng, Daniel Gildea, Giorgio Satta Anchors: High-Precision Model-Agnostic Explanations
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin Answering Regular Path Queries over SQ Ontologies
Víctor Gutiérrez-Basulto, Yazmín Angélica Ibáñez-García, Jean Christoph Jung Approximating Bribery in Scoring Rules
Orgad Keller, Avinatan Hassidim, Noam Hazon Assertion-Based QA with Question-Aware Open Information Extraction
Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li Assessing National Development Plans for Alignment with Sustainable Development Goals via Semantic Search
Jonathan Galsurkar, Moninder Singh, Lingfei Wu, Aditya Vempaty, Mikhail Sushkov, Devika Iyer, Serge Kapto, Kush R. Varshney Asynchronous Bidirectional Decoding for Neural Machine Translation
Xiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation
Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao Augmenting End-to-End Dialogue Systems with Commonsense Knowledge
Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang AutoEncoder by Forest
Ji Feng, Zhi-Hua Zhou Automatic Segmentation of Data Sequences
Liangzhe Chen, Sorour E. Amiri, B. Aditya Prakash Avoiding Dead Ends in Real-Time Heuristic Search
Bence Cserna, William J. Doyle, Jordan S. Ramsdell, Wheeler Ruml BaitBuster: A Clickbait Identification Framework
Md Main Uddin Rony, Naeemul Hassan, Mohammad Yousuf Bandit-Based Solar Panel Control
David Abel, Edward C. Williams, Stephen Brawner, Emily Reif, Michael L. Littman Batchwise Patching of Classifiers
Sebastian Kauschke, Johannes Fürnkranz Bayesian Functional Optimization
Ngo Anh Vien, Heiko Zimmermann, Marc Toussaint Bayesian Verb Sense Clustering
Daniel W. Peterson, Martha Palmer Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies
Nicholas Hay, Michael Stark, Alexander Schlegel, Carter Wendelken, Dennis Park, Eric Purdy, Tom Silver, D. Scott Phoenix, Dileep George Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez Binary Generative Adversarial Networks for Image Retrieval
Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Alan Hanjalic, Heng Tao Shen Boosted Generative Models
Aditya Grover, Stefano Ermon Cellular Network Traffic Scheduling with Deep Reinforcement Learning
Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti Co-Saliency Detection Within a Single Image
Hongkai Yu, Kang Zheng, Jianwu Fang, Hao Guo, Wei Feng, Song Wang Combining Experts' Causal Judgments
Dalal Alrajeh, Hana Chockler, Joseph Y. Halpern Community-Based Trip Sharing for Urban Commuting
Mohd. Hafiz Hasan, Pascal Van Hentenryck, Ceren Budak, Jiayu Chen, Chhavi Chaudhry Compact Multi-Label Learning
Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong Complexity of Verification in Incomplete Argumentation Frameworks
Dorothea Baumeister, Daniel Neugebauer, Jörg Rothe, Hilmar Schadrack Compressed Sensing MRI Using a Recursive Dilated Network
Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley Computer-Assisted Authoring for Natural Language Story Scripts
Rushit Sanghrajka, Wojciech Witon, Sasha Schriber, Markus H. Gross, Mubbasir Kapadia Conditional Linear Regression
Diego Calderon, Brendan Juba, Zongyi Li, Lisa Ruan Confidence-Aware Matrix Factorization for Recommender Systems
Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang Consonant-Vowel Sequences as Subword Units for Code-Mixed Languages
Upendra Kumar, Vishal Singh, Chris Andrew Gadde, Santhoshini Reddy, Amitava Das Control Argumentation Frameworks
Yannis Dimopoulos, Jean-Guy Mailly, Pavlos Moraitis Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel Core Dependency Networks
Alejandro Molina, Alexander Munteanu, Kristian Kersting Counterfactual Multi-Agent Policy Gradients
Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson Cross-Domain Human Parsing via Adversarial Feature and Label Adaptation
Si Liu, Yao Sun, Defa Zhu, Guanghui Ren, Yu Chen, Jiashi Feng, Jizhong Han Cross-Lingual Entity Linking for Web Tables
Xusheng Luo, Kangqi Luo, Xianyang Chen, Kenny Q. Zhu DarkEmbed: Exploit Prediction with Neural Language Models
Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman Data Poisoning Attacks on Multi-Task Relationship Learning
Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan Dataset Evolver: An Interactive Feature Engineering Notebook
Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak S. Turaga Death vs. Data Science: Predicting End of Life
Muhammad A. Ahmad, Carly Eckert, Greg McKelvey, Kiyana Zolfaghar, Anam Zahid, Ankur Teredesai Deception Detection in Videos
Zhe Wu, Bharat Singh, Larry S. Davis, V. S. Subrahmanian Deconvolutional Latent-Variable Model for Text Sequence Matching
Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin Decoupled Convolutions for CNNs
Guotian Xie, Ting Zhang, Kuiyuan Yang, Jianhuang Lai, Jingdong Wang Deep Embedding for Determining the Number of Clusters
Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin Deep Learning from Crowds
Filipe Rodrigues, Francisco C. Pereira Deep Low-Resolution Person Re-Identification
Jiening Jiao, Wei-Shi Zheng, Ancong Wu, Xiatian Zhu, Shaogang Gong Deep Mars: CNN Classification of Mars Imagery for the PDS Imaging Atlas
Kiri L. Wagstaff, You Lu, Alice Stanboli, Kevin Grimes, Thamme Gowda, Jordan Padams Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li Deep Q-Learning from Demonstrations
Todd Hester, Matej Vecerík, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John P. Agapiou, Joel Z. Leibo, Audrunas Gruslys Deep Reinforcement Learning That Matters
Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger Deep Semantic Role Labeling with Self-Attention
Zhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, Xiaodong Shi DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction
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 DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction
Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Satoshi Miyazawa, Ryosuke Shibasaki Democratization of Deep Learning Using DARVIZ
Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani, Akshay Sethi, Rahul Aralikatte, Neelamadhav Gantayat Dialogue Act Sequence Labeling Using Hierarchical Encoder with CRF
Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi Dialogue Generation with GAN
Hui Su, Xiaoyu Shen, Pengwei Hu, Wenjie Li, Yun Chen Differential Performance Debugging with Discriminant Regression Trees
Saeid Tizpaz-Niari, Pavol Cerný, Bor-Yuh Evan Chang, Ashutosh Trivedi Dilated FCN for Multi-Agent 2D/3D Medical Image Registration
Shun Miao, Sebastien Piat, Peter Walter Fischer, Ahmet Tuysuzoglu, Philip Walter Mewes, Tommaso Mansi, Rui Liao Discovering Program Topoi Through Clustering
Carlo Ieva, Arnaud Gotlieb, Souhila Kaci, Nadjib Lazaar Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs
Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying Distributed Composite Quantization
Weixiang Hong, Jingjing Meng, Junsong Yuan Diverse Beam Search for Improved Description of Complex Scenes
Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra DLPaper2Code: Auto-Generation of Code from Deep Learning Research Papers
Akshay Sethi, Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani Doubly Approximate Nearest Neighbor Classification
Weiwei Liu, Zhuanghua Liu, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin Dropout Model Evaluation in MOOCs
Josh Gardner, Christopher Brooks Dual Deep Neural Networks Cross-Modal Hashing
Zhen-Duo Chen, Wan-Jin Yu, Chuan-Xiang Li, Liqiang Nie, Xin-Shun Xu Dual Set Multi-Label Learning
Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou Dual-Reference Face Retrieval
BingZhang Hu, Feng Zheng, Ling Shao DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation
Haipeng Chen, Bo An, Guni Sharon, Josiah P. Hanna, Peter Stone, Chunyan Miao, Yeng Chai Soh Dynamic Determinantal Point Processes
Takayuki Osogami, Rudy Raymond, Akshay Goel, Tomoyuki Shirai, Takanori Maehara Effective Broad-Coverage Deep Parsing
James F. Allen, Omid Bahkshandeh, William de Beaumont, Lucian Galescu, Choh Man Teng Effective Heuristics for Committee Scoring Rules
Piotr Faliszewski, Martin Lackner, Dominik Peters, Nimrod Talmon Efficient Architecture Search by Network Transformation
Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang Efficient K-Shot Learning with Regularized Deep Networks
Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani Efficient Large-Scale Multi-Modal Classification
Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates
Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin
Xiaojian Wu, Jonathan Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt García-Villacorta, Elizabeth Anderson, Suresh Sethi, Scott Steinschneider, Alexander Flecker, Carla P. Gomes Embedding of Hierarchically Typed Knowledge Bases
Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao EMD Metric Learning
Zizhao Zhang, Yubo Zhang, Xibin Zhao, Yue Gao Empower Sequence Labeling with Task-Aware Neural Language Model
Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han End-to-End United Video Dehazing and Detection
Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng Engineering Pro-Sociality with Autonomous Agents
Ana Paiva, Fernando P. Santos, Francisco C. Santos Event Representations for Automated Story Generation with Deep Neural Nets
Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl Event Representations with Tensor-Based Compositions
Noah Weber, Niranjan Balasubramanian, Nathanael Chambers Exercise-Enhanced Sequential Modeling for Student Performance Prediction
Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu Expected Policy Gradients
Kamil Ciosek, Shimon Whiteson Face Sketch Synthesis from Coarse to Fine
Mingjin Zhang, Nannan Wang, Yunsong Li, Ruxin Wang, Xinbo Gao Facility Location Games with Fractional Preferences
Chi Kit Ken Fong, Minming Li, Pinyan Lu, Taiki Todo, Makoto Yokoo Fact Checking in Community Forums
Tsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Mitra Mohtarami, Georgi Karadzhov, James R. Glass Fair Inference on Outcomes
Razieh Nabi, Ilya Shpitser Fair Rent Division on a Budget
Ariel D. Procaccia, Rodrigo A. Velez, Dingli Yu FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron C. Courville FLIC: Fast Linear Iterative Clustering with Active Search
Jiaxing Zhao, Bo Ren, Qibin Hou, Ming-Ming Cheng, Paul L. Rosin Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing
Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, R. Venkatesh Babu Gated-Attention Architectures for Task-Oriented Language Grounding
Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov Generalized Value Iteration Networks: Life Beyond Lattices
Sufeng Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C. Smith, Jelena Kovacevic Gesture Annotation with a Visual Search Engine for Multimodal Communication Research
Sergiy Turchyn, Inés Olza Moreno, Cristóbal Pagán Cánovas, Francis F. Steen, Mark Turner, Javier Valenzuela, Soumya Ray Graph Correspondence Transfer for Person Re-Identification
Qin Zhou, Heng Fan, Shibao Zheng, Hang Su, Xinzhe Li, Shuang Wu, Haibin Ling Graph Scan Statistics with Uncertainty
Jose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng GraphGAN: Graph Representation Learning with Generative Adversarial Nets
Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo Groupwise Maximin Fair Allocation of Indivisible Goods
Siddharth Barman, Arpita Biswas, Sanath Kumar Krishna Murthy, Yadati Narahari Hawkes Process Inference with Missing Data
Christian R. Shelton, Zhen Qin, Chandini Shetty Hi, How Can I Help You?: Automating Enterprise IT Support Help Desks
Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan Human-in-the-Loop SLAM
Samer B. Nashed, Joydeep Biswas Hypergraph Learning with Cost Interval Optimization
Xibin Zhao, Nan Wang, Heyuan Shi, Hai Wan, Jin Huang, Yue Gao Improved Results for Minimum Constraint Removal
Eduard Eiben, Jonathan Gemmell, Iyad A. Kanj, Andrew Youngdahl Incentive-Compatible Forecasting Competitions
Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause Influence Maximization for Social Network Based Substance Abuse Prevention
Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker InspireMe: Learning Sequence Models for Stories
Vincent Fortuin, Romann M. Weber, Sasha Schriber, Diana Wotruba, Markus H. Gross Interpreting CNN Knowledge via an Explanatory Graph
Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu Investigating Active Learning for Concept Prerequisite Learning
Chen Liang, Jianbo Ye, Shuting Wang, Bart Pursel, C. Lee Giles Joint Dictionaries for Zero-Shot Learning
Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim Joint Learning of Evolving Links for Dynamic Network Embedding
Aakas Zhiyuli, Xun Liang, Yanfang Chen, Peng Shu, Xiaoping Zhou Joint Learning of Set Cardinality and State Distribution
Seyed Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony R. Dick, Ian D. Reid Kernel Cross-Correlator
Chen Wang, Le Zhang, Lihua Xie, Junsong Yuan Knowledge-Based Policies for Qualitative Decentralized POMDPs
Abdallah Saffidine, François Schwarzentruber, Bruno Zanuttini Knowledge, Fairness, and Social Constraints
Haris Aziz, Sylvain Bouveret, Ioannis Caragiannis, Ira Giagkousi, Jérôme Lang Lagrangian Constrained Community Detection
Mohadeseh Ganji, James Bailey, Peter J. Stuckey Latent Semantic Aware Multi-View Multi-Label Classification
Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang Learning Attention Model from Human for Visuomotor Tasks
Luxin Zhang, Ruohan Zhang, Zhuode Liu, Mary M. Hayhoe, Dana H. Ballard Learning Conditional Generative Models for Temporal Point Processes
Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha Learning Constraints from Examples
Luc De Raedt, Andrea Passerini, Stefano Teso Learning Mixtures of MLNs
Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal Learning Mixtures of Random Utility Models
Zhibing Zhao, Tristan Villamil, Lirong Xia Learning Multi-Modal Word Representation Grounded in Visual Context
Eloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari Learning Multi-Way Relations via Tensor Decomposition with Neural Networks
Koji Maruhashi, Masaru Todoriki, Takuya Ohwa, Keisuke Goto, Yu Hasegawa, Hiroya Inakoshi, Hirokazu Anai Learning Predictive State Representations from Non-Uniform Sampling
Yuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup Learning Robust Options
Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor Learning the Behavior of a Dynamical System via a "20 Questions" Approach
Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy
Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal Learning to Detect Pointing Gestures from Wearable IMUs
Denis Broggini, Boris Gromov, Alessandro Giusti, Luca Maria Gambardella Learning to Guide Decoding for Image Captioning
Wenhao Jiang, Lin Ma, Xinpeng Chen, Hanwang Zhang, Wei Liu Learning to Interact with Learning Agents
Adish Singla, Seyed Hamed Hassani, Andreas Krause Learning User Preferences to Incentivize Exploration in the Sharing Economy
Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause Learning Vector Autoregressive Models with Latent Processes
Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang Learning with Incomplete Labels
Yingming Li, Zenglin Xu, Zhongfei Zhang Learning with Options That Terminate Off-Policy
Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé Liquid Democracy: An Algorithmic Perspective
Anson Kahng, Simon Mackenzie, Ariel D. Procaccia Load Scheduling of Simple Temporal Networks Under Dynamic Resource Pricing
T. K. Satish Kumar, Zhi Wang, Anoop Kumar, Craig Milo Rogers, Craig A. Knoblock Locality Preserving Projection Based on F-Norm
Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin Long-Term Image Boundary Prediction
Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz Lookine: Let the Blind Hear a Smile
Yaohua Bu, Jia Jia, Yuhan Tang, Xuan Zang, Tianyu Gao LTLf/LDLf Non-Markovian Rewards
Ronen I. Brafman, Giuseppe De Giacomo, Fabio Patrizi Machine-Translated Knowledge Transfer for Commonsense Causal Reasoning
Jinyoung Yeo, Geungyu Wang, Hyunsouk Cho, Seungtaek Choi, Seung-won Hwang Margin Based PU Learning
Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin Mars Target Encyclopedia: Rock and Soil Composition Extracted from the Literature
Kiri L. Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, Karanjeet Singh, Nina L. Lanza MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning
Lei Wang, Dongxiang Zhang, Lianli Gao, Jingkuan Song, Long Guo, Heng Tao Shen Maximizing Influence in an Unknown Social Network
Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe MaxSAT Resolution with the Dual Rail Encoding
Maria Luisa Bonet, Sam Buss, Alexey Ignatiev, João Marques-Silva, António Morgado Measuring Catastrophic Forgetting in Neural Networks
Ronald Kemker, Marc McClure, Angelina Abitino, Tyler L. Hayes, Christopher Kanan Measuring Strong Inconsistency
Markus Ulbricht, Matthias Thimm, Gerhard Brewka Memory Fusion Network for Multi-View Sequential Learning
Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency Memory-Augmented Monte Carlo Tree Search
Chenjun Xiao, Jincheng Mei, Martin Müller Meta Multi-Task Learning for Sequence Modeling
Jun-Kun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang Meta-Search Through the Space of Representations and Heuristics on a Problem by Problem Basis
Raquel Fuentetaja, Michael W. Barley, Daniel Borrajo, Jordan Douglas, Santiago Franco, Patricia J. Riddle Mighty Thymio for University-Level Educational Robotics
Jérôme Guzzi, Alessandro Giusti, Gianni A. Di Caro, Luca Maria Gambardella Minesweeper with Limited Moves
Serge Gaspers, Stefan Rümmele, Abdallah Saffidine, Kevin Tran Mitigating Overexposure in Viral Marketing
Rediet Abebe, Lada A. Adamic, Jon M. Kleinberg Mix-and-Match Tuning for Self-Supervised Semantic Segmentation
Xiaohang Zhan, Ziwei Liu, Ping Luo, Xiaoou Tang, Chen Change Loy Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains
Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting Model AI Assignments 2018
Todd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth MUDA: A Truthful Multi-Unit Double-Auction Mechanism
Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann Multi-Adversarial Domain Adaptation
Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang Multi-Attention Recurrent Network for Human Communication Comprehension
Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency Multi-Modal Multi-Task Learning for Automatic Dietary Assessment
Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann Multi-Scale Bidirectional FCN for Object Skeleton Extraction
Fan Yang, Xin Li, Hong Cheng, Yuxiao Guo, Leiting Chen, Jianping Li Multi-Step Reinforcement Learning: A Unifying Algorithm
Kristopher De Asis, J. Fernando Hernandez-Garcia, G. Zacharias Holland, Richard S. Sutton Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis
Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow Multiagent Connected Path Planning: PSPACE-Completeness and How to Deal with It
Davide Tateo, Jacopo Banfi, Alessandro Riva, Francesco Amigoni, Andrea Bonarini Multimodal Keyless Attention Fusion for Video Classification
Xiang Long, Chuang Gan, Gerard de Melo, Xiao Liu, Yandong Li, Fu Li, Shilei Wen Multiwinner Elections with Diversity Constraints
Robert Bredereck, Piotr Faliszewski, Ayumi Igarashi, Martin Lackner, Piotr Skowron Neural Cross-Lingual Entity Linking
Avirup Sil, Gourab Kundu, Radu Florian, Wael Hamza Neural Ideal Point Estimation Network
Kyungwoo Song, Wonsung Lee, Il-Chul Moon Neural Link Prediction over Aligned Networks
Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu Novel Exploration Techniques (NETs) for Malaria Policy Interventions
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