【最新】人工智能领域顶会AAAI 2018 Pre-Proceedings 论文列表（附pdf下载链接）
【导读】人工智能领域顶尖学术会议 AAAI 2018，暨第32届 AAAI 大会将于 2 月 2 日 - 2 月 7 日 在新奥尔良举行。AAAI 是由人工智能促进协会每年举行的学术会议，是研究人员和科学家展示他们在人工智能领域的研究和新思考的平台。每年的 AAAI 都会吸引来自全球各地的学者参会，值得一提的是，中国学术力量正在扮演越来越重要的角色，在 AAAI 2017 上，大会接受的来自中国学者的论文数量几乎已经和美国论文数量持平。详细录用名单日前已经公布，可参见：https://aaai.org/Conferences/AAAI-18/
AAAI是人工智能领域的顶级国际会议，每年吸引世界各国数千名学者共同探讨人工智能发展前沿。举办地确定还经历有个小插曲， 本来去年的AAAI 2017本来是在美国新奥尔良的，但是原定时间与中国春节冲突，经多位华人学者努力，AAAI 决定改期，由于原定举办地美国新奥尔良在其他时间无合适会场酒店，AAAI 2017 将改在旧金山举行，新奥尔良改为举办 AAAI 2018。
专知小组已经报道过多篇AAAI 2018会议上的论文，具体可见：
▌专知进行关键词统计信息如下：
▌论文列表：
来源：
https://aaai.org/Conferences/AAAI-18/wp-content/uploads/2017/12/AAAI-18-Accepted-Paper-List.Web_.pdf
AAAI-18 Main Track Accepted Paper List
(The following list includes all accepted papers for the main track of AAAI-18. The list is sorted according to title order. Titles and author order may not be final. Final titles and author order will be reflected in the final program and proceedings according to what was submitted by authors at the camera-ready copy deadline.)
280 Birds with One Stone: Inducing Multilingual Taxonomies from Wikipedia Using Character-level Classification
Amit Gupta*, Remi Lebret, Hamza Harkous, Karl Aberer
3D Box Proposals from a Single Monocular Image of an Indoor Scene
Wei Zhuo*, Mathieu Salzmann, Xuming He, miaomiao Liu
A Batch Learning Framework for Scalable Personalized Ranking Kuan Liu*, Prem Natarajan A Bayesian Clearing Mechanism for Combinatorial Auctions
Gianluca Brero*, Sébastien Lahaie
A Cascaded Inception of Inception Network with Attention Modulated Feature Fusion for Human Pose Estimation
Wentao Liu*, Jie Chen, Cheng Li, Chen Qian, Xiao Chu, Xiaolin Hu
A Change-Detection based Framework for Piecewise-stationary Multi-Armed Bandit Problem
Fang Liu*, Joohyun Lee, Ness Shroff
A Combinatorial-bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-perclick Advertising Campaigns
Francesco Trovo*, Alessandro Nuara, Nicola Gatti, Marcello Restelli
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models
Kartik Goyal*, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick
A Coverage-Based Utility Model for Identifying Unknown Unknowns
Gagan Bansal*, Daniel Weld
A Deep Cascade Network for Unaligned Face Attribute Classification
Hui Ding*, Hao Zhou, Shaohua Zhou, Rama Chellappa
A Deep Generative Framework for Paraphrase Generation
Ankush Gupta*, Arvind Agarwal, Prawaan Singh, Piyush Rai
A Deep Model with Local Surrogate Loss for General Cost-sensitive Multi-label Learning
Cheng-Yu Hsieh*, Yi-An Lin, Hsuan-Tien Lin
A Deep Ranking Model for Spatio-Temporal Highlight Detection from a 360â—¦ Video
Youngjae Yu, Sangho Lee, Joonil Na, Gunhee Kim*, Jaeyun Kang
A Framework and Positive Results for IAR-answering
Despoina Trivela*, Giorgos Stoilos, Vasilis Vassalos
A Framework for Multistream Regression with Direct Density Ratio Estimation
Ahsanul Haque, Hemeng Tao*, Swarup Chandra, Jie Liu, Latifur Khan
A General Formulation for Safely Exploiting Weakly Supervised Data
Lan-Zhe Guo, Yu-feng Li*
A Knowledge-Grounded Neural Conversation Model
Marjan Ghazvininejad*, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-Tau Yih, Michel Galley
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents
Yueh-Hua Wu*, Shou-de Lin
A Multi-task Learning Approach for Improving Product Title Compression with User Search Log Data
Jingang Wang*, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan
A Multi-View Fusion Neural Network for Answer Selection
Lei Sha*, Jin-ge Yao, Sujian Li, Baobao Chang, Zhifang Sui
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction
Shamil Chollampatt, Hwee Tou Ng*
A Network-Specific Markov Random Field Approach to Community Detection
Dongxiao He*, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang
A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of
Monitoring Stations
Weiyu Cheng, Yanyan Shen*, Yanmin Zhu, linpeng Huang
A Neural Stochastic Volatility Model
Rui Luo*, Jun Wang, Weinan Zhang, Xiaojun Xu
A Neural Transition-Based Approach for Semantic Dependency Graph Parsing
Yuxuan Wang*, Wanxiang Che, Jiang Guo, Ting Liu
A Parallelizable Acceleration Framework for Packing Linear Programs
Palma London*, Shai Vardi, Adam Wierman, Hanling Yi
A Plasticity-centric Approach to Train the Non-differential Spiking Neural Networks
Tielin Zhang*, Yi Zeng, Mengting Shi, Dongcheng Zhao
A Poisson Gamma Probabilistic Model for Latent Node-group Memberships in Dynamic Networks
Sikun Yang*, Heinz Koeppl
A Probabilistic Hierarchical Model for Multi-view and Multi-feature Classification
Jinxing Li*, Hongwei Yong, Bob Zhang, Mu Li, Lei Zhang, David Zhang
A Provable Approach for Double-Sparse Coding
Thanh Nguyen*, Raymond Wong, Chinmay Hegde
A Question-Focused Multi-Factor Attention Network for Question Answering
Souvik Kundu, Hwee Tou Ng*
A Recursive Algorithm to Generate Balanced Weekend Tournaments
Richard Hoshino*
A Recursive Scenario Decomposition Algorithm for Combinatorial Multistage Stochastic Optimisation Problems
David Hemmi*, Guido Tack, Mark Wallace
A Regression Approach for Modeling Games with Many Symmetric Players
Bryce Wiedenbeck*, Fengjun Yang, Michael Wellman
A SAT+CAS Method for Enumerating Williamson Matrices of Even Order
Curtis Bright*, Ilias Kotsireas, Vijay Ganesh
A Semantic QA-Based Approach for Text Summarization Evaluation
Ping Chen*, Fei Wu, Tong Wang, Wei Ding
A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling
Wanzheng Zhu*, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han
A Two-Stage MaxSAT Reasoning Approach for the Maximum Weight Clique Problem
Hua Jiang*, Chu-min Li, Yanli Liu, Felip Manya
A Unified Model for Document-based Question Answering Based on Human-like Reading Strategy
Weikang Li*, Wei Li, Yunfang Wu
A Voting-Based System for Ethical Decision Making
Ritesh Noothigattu, Snehalkumar `Neil' Gaikwad, Edmond Awad, Sohan D'Souza, Iyad Rahwan, Pradeep Ravikumar, Ariel Procaccia*
Accelerated Best-first Search with Upper-bound Computation for Submodular Function Maximization
Shinsaku Sakaue*, Masakazu Ishihata
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization
Zhouyuan Huo, Bin Gu, Heng Huang*
Accelerated Training for Massive Classification via Dynamic Class Selection
Xingcheng Zhang*, Lei Yang, Junjie Yan, Dahua LIN
Acquiring Common Sense Spatial Knowledge through Implicit Spatial Templates
Guillem Collell*, Marie-Francine Moens, Luc Van Gool
Action Branching Architectures for Deep Reinforcement Learning
Arash Tavakoli*, Fabio Pardo, Petar Kormushev
Action Prediction from Videos via Memorizing Hard-to-Predict Samples
Yu Kong*, Shangqian Gao, Bin Sun, Yun Fu
Action Recognition from Skeleton Data via Analogical Generalization over Qualitative Representations
Kezhen Chen*, Kenneth Forbus
Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion
Weiyao Lin*, Yang Mi, Jianxin Wu, Ke Lu, Hongkai Xiong
Action Schema Networks: Generalised Policies with Deep Learning
Sam Toyer*, Felipe Trevizan, Sylvie Thiebaux, Lexing Xie
Actionable Email Intent Modeling with Reparametrized RNNs
Chu-Cheng Lin*, Patrick Pantel, Michael Gamon, Dongyeop Kang
Active Lifelong Learning with “Watchdogâ€
Gan Sun*, Yang Cong, Xiaowei Xu
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 Dickerson*, Vincent Conitzer
Adaptive Co-attention Network for Named Entity Recognition in Tweets
Qi Zhang, Jinlan Fu*, Xiaoyu Liu, Xuanjing Huang
Adaptive Feature Abstraction for Translating Video to Text
Yunchen Pu*, Martin Renqiang Min, Zhe Gan, Lawrence Carin
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
Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs
Rui Zhang*, Honglak Lee, Lazaros Polymenakos, Dragomir Radev
Adversarial Discriminative Heterogeneous Face Recognition
Lingxiao Song*, Man Zhang, Xiang Wu, Ran He
Adversarial Dropout for Supervised and Semi-Supervised Learning
Sungrae Park*, Jun-Keon Park, Su-Jin Shin, Il chul Moon
Adversarial Learning for Chinese NER from Crowd Annotations
YaoSheng Yang, Meishan Zhang, Wenliang CHEN*, Haofen Wang, Wei Zhang, Min Zhang
Adversarial Learning of Portable Student Networks
Yunhe Wang*, Chang Xu, Chao Xu, Dacheng Tao
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
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games
Neil Burch, Martin Schmid*, Matej Moravcik, Dustin Morill, Michael Bowling
AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video
Xin Ru (Nancy) Wang*, Ali Farhadi, Rajesh Rao, Bingni Brunton
Algorithms for Generalized Topic Modeling
Avrim Blum, Nika Haghtalab*
Algorithms for Trip-Vehicle Assignment in Ride-Sharing
Xiaohui Bei*, Shengyu Zhang
Allocation Problems in Ride-Sharing Platforms: Online Matching with Offline Reusable Resources
John Dickerson, Karthik Abinav Sankararaman*, Aravind Srinivasan, Pan Xu
Alternating Circulant Random Features for Semigroup Kernels
Yusuke Mukuta*, Yoshitaka Ushiku, Tatsuya Harada
Alternating Optimisation and Quadrature for Robust Control
Supratik Paul*, Shimon Whiteson, Michael Osborne, Konstantinos Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret
AMR Parsing with Cache Transition Systems
Xiaochang Peng*, Daniel Gildea, Giorgio Satta
An Adversarial Hierarchical Hidden Markov Model for Human Pose Modeling and Generation
Rui Zhao*, Qiang Ji
An AI Planning Solution to Scenario Generation for Enterprise Risk Management
Shirin Sohrabi*, Anton Riabov, Michael Katz, Octavian Udrea
An Ant-based Algorithm to Solve Distributed Constraint Optimization Problems
Ziyu Chen*, Tengfei Wu, Yanchen Deng, Cheng Zhang
An Axiomatization of the Eigenvector and Katz Centralities
Tomasz Wąs*, Oskar Skibski
An Efficient, Expressive and Local Minima-free Method for Learning Controlled Dynamical Systems
Ahmed Hefny*, Geoff Gordon, Carlton Downey
An End-to-End Deep Learning Architecture for Graph Classification
Muhan Zhang*, Zhicheng Cui, Marion Neumann, Chen Yixin
An Euclidean Distance based on Tensor Product Graph Diffusion Related Attribute Value Embedding for Nominal Data Clustering
Lei Gu*, NingNing Zhou, Yang Zhao
An Experimental Study of Advice in Sequential Decision-Making under Uncertainty
Florian Benavent*, Bruno Zanuttini
An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments
Ashish Kulkarni*, Narasimha Raju Uppalapati, Pankaj Singh, Ganesh Ramakrishnan
An Interpretable Generative Adversarial Approach to Classification of Latent Entity Relations in Unstructured Sentences
Shiou Tian Hsu*, Changsung Moon, Paul Jones, Nagiza Samatova
An Interpretable Joint Graphical Model for Fact-Checking from Crowds
An Thanh Nguyen*, Aditya Kharosekar, Byron Wallace, Matt Lease
An Online Crowdsourced Task Assignment Approach for Multi-Skilled Workers
Liang Qiao*, Feilong Tang, Jiacheng Liu
An Optimal Online Method of Selecting Source Policies for Reinforcement Learning
Siyuan Li*, Chongjie Zhang
An Unsupervised Model with Attention Autoencoders for Question Retrieval
Minghua Zhang, Yunfang Wu*
Anchors: High-Precision Model-Agnostic Explanations
Marco Tulio Ribeiro*, Sameer Singh, Carlos Guestrin
Answering Regular Path Queries over SQ Ontologies
Víctor Gutiérrez-Basulto*, Yazmín Ibáñez-García, Jean Christoph Jung
Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification
Yi Li*, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan
Anytime Anyspace AND/OR Best-first Search for Bounding Marginal MAP
Qi Lou*, Rina Dechter, Alexander Ihler
Approximate and Exact Enumeration of Rule Models
Satoshi Hara*, Masakazu Ishihata
Approximate Inference via Weighted Rademacher Complexity
Jonathan Kuck*, Ashish Sabharwal, Stefano Ermon
Approximate Vanishing Ideal via Data Knotting
Hiroshi Kera*, Yoshihiko Hasegawa
Approximately Stable Matchings with Budget Constraints
Yasushi Kawase, Atsushi Iwasaki*
Approximating Bribery in Scoring Rules
Orgad Keller*, Avinatan Hassidim, Noam Hazon
Approximation-Variance Tradeoffs in Facility Location Games
Ariel Procaccia, David Wajc*, Hanrui Zhang
ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification
Sima Behpour*, Wei Xing, Brian Ziebart
Argument Mining for Improving the Automated Scoring of Persuasive Essays
Huy Nguyen*, Diane Litman
Armstrong's Axioms and Navigation Strategies
Kaya Deuser, Pavel Naumov*
Asking Friendly Strangers: Non-Semantic Attribute Transfer
Nils Murrugarra-Llerena*, Adriana Kovashka
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
Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time Games
Rubens Moraes*, Levi Lelis
Asymmetric Deep Supervised Hashing
Qing-Yuan Jiang, Wu-Jun Li*
Asymmetric Joint Learning for Heterogeneous Face Recognition
Bing Cao, Nannan Wang*, Xinbo Gao, Jie Li
Asynchronous Bidirectional Decoding for Neural Machine Translation
Xiangwen Zhang, Jinsong Su*, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang
Asynchronous Doubly Stochastic Sparse Kernel Learning
Bin Gu*, Xin Miao, Zhouyuan Huo, Heng Huang
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation
Chang Zhou*, JInze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao
Attend and Diagnose: Clinical Time Series Analysis using Attention Models
Huan Song, Deepta Rajan, Jayaraman Thiagarajan*, Andreas Spanias
Attention-based Belief or Disbelief Feature Extraction for Dependency Parsing
Haoyuan Peng*, Lu Liu, Yi Zhou, Junying Zhou, Xiaoqing Zheng
Attention-based Transactional Context Embedding for Next-Item Recommendation
Shoujin Wang*, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu
Attention-via-Attention Neural Machine Translation
Shenjian Zhao*, Zhihua Zhang
Audio Visual Attribute Discovery for Fine-Grained Object Recognition
Hua Zhang*, Xiaochun Cao, Rui Wang
Augmenting End-to-End Dialogue Systems with Commonsense Knowledge
Tom Young*, Erik Cambria, Iti Chaturvedi, Minlie Huang, Hao Zhou, Subham Biswas
Auto-balanced Filter Pruning for Efficient Convolutional Neural Networks
Xiaohan Ding*, Guiguang Ding, Jungong Han, Sheng Tang
AutoEncoder by Forest
Ji Feng*, Zhi-Hua Zhou
Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments
Youyi Song*, Jing Qin, Baiying Lei, Thomas Choi
Automatic Generation of Text Descriptive Comments for Code Blocks
Yuding Liang*, Kenny Zhu
Automatic Model Selection in Subspace Clustering via Triplet Relationships
Jufeng Yang*, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng
Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks
Li Chou*, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate
Automatic Segmentation of Data Sequences
Liangzhe Chen*, Sorour E. Amiri, Aditya Prakash
Average-case Approximation Ratio of Scheduling without Payments
Jie ZHANG*
Avoiding Dead Ends in Real-time Heuristic Search
Bence Cserna, William Doyle, Jordan Ramsdell, Wheeler Ruml*
Axioms for Distance-Based Centralities
Oskar Skibski*, Jadwiga Sosnowska
Balanced Clustering via Exclusive Lasso: A Pragmatic Approach
Zhihui Li*, Feiping Nie, Xiaojun Chang, Zhigang Ma, Yi Yang
Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange
Duncan McElfresh*, John Dickerson
Batchwise Patching of Classifiers
Sebastian Kauschke*, Johannes Fürnkranz
Bayesian Functional Optimization
Vien Ngo*, Heiko Zimmermann, Marc Toussaint
Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure
Aleksandar Bojchevski*, Stephan Günnemann
Bayesian Verb Sense Clustering
Daniel Peterson*, Martha Palmer
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems
Zachary Lipton, Xiujun Li*, Jianfeng Gao, Lihong Li, Faisal Ahmed, Li Deng
Behavior is Everything – Towards Representing Concepts with Sensorimotor
Contingencies
Nicholas Hay*, Michael Stark, D. Scott Phoenix, Dennis Park, Carter Wendelken, Alexander Schlegel, Eric Purdy, Tom Silver, Dileep George
Belief Reward Shaping in Reinforcement Learning
Ofir Marom*, Benjamin Rosman
Bernoulli Embeddings for Graphs
Vinith Misra, Sumit Bhatia*
Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning
Nina Grgic-Hlaca*, Muhammad Bilal Zafar, Krishna Gummadi, Adrian Weller
Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space
Muhan Zhang*, Zhicheng Cui, Shali Jiang, Chen Yixin
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Mike Wu, Michael 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
Brute-Force Facial Landmark Analysis With A 140,000-Way Classifier
Mengtian Li*, Laszlo A. Jeni, Deva Ramanan
Budget-Constrained Multi-Armed Bandits with Multiple Plays
Datong Zhou*, Claire Tomlin
Building Continuous Occupancy Maps with Moving Robots
Ransalu Senanayake*, Fabio Ramos
Building Deep Networks on Grassmann Manifolds
Zhiwu Huang*, Jiqing Wu, Luc Van Gool
Byte-level Machine Reading across Morphologically Varied Languages
Tom Kenter*, Llion Jones, Daniel Hewlett
CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity
Qin Chen, Qinmin Hu*, Jimmy Huang, Liang He, Weijie An, Jie Zhou
Canonical Correlation Inference for Mapping Abstract Scenes to Text
Helen Jiang, Nikos Papasarantopoulos , Shay Cohen*
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface
Dalin Zhang*, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots
Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters
Xinrun Wang*, Bo An, Martin Strobel, Fookwai Kong
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition
Jingyuan Wang*, Xu He, Ze Wang, Junjie Wu, Nicholas jing Yuan, Xie Xing, Zhang Xiong
Cellular Network Traffic Scheduling with Deep Reinforcement Learning
Sandeep Chinchali*, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti
Char-Net: A Character-Aware Neural Network for Distorted Scene Text Recognition
Wei Liu*, Chaofeng Chen, Kwan-Yee K. Wong
Characterization of the Convex Lukasiewicz Fragment for Learning from Constraints
Francesco Giannini*, Michelangelo Diligenti, Marco Gori, Marco Maggini
Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention
Xiangkai Zeng*, Cheng Yang, Cunchao Tu, Zhiyuan Liu, Maosong Sun
Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary
Masataro Asai*, Alex Fukunaga
Clustering Small Samples with Quality Guarantees: Adaptivity with One2all pps
Edith Cohen*, Shiri Chechik, Haim Kaplan
CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation
Hao Wangli, Zhaoxiang Zhang*, Guan He
Co-attending Free-form Regions and Detections with Multi-modal Multiplicative Feature Embedding for Visual Question Answering
Pan Lu*, Hongsheng Li, Wei Zhang, Wang Jianyong, Xiaogang Wang
Co-domain Embedding using Deep Quadruplet Networks for Unseen Traffic Sign Recognition
Junsik Kim*, Seokju Lee, Tae-Hyun Oh, In So Kweon
Co-Saliency Detection within a Single Image
Hongkai Yu*, Kang Zheng, Jianwu Fang, Hao Guo, Wei Feng, Song Wang
Coalition Manipulation of Gale-Shapley Algorithm
Yuan Deng*, Pingzhong Tang, Weiran Shen
CoChat: Enabling Bot and Human Collaboration for Task Completion
Xufang Luo*, Zijia Lin, Yunhong Wang, Zaiqing Nie
由于公众号内容限制，部分列表没有展示，详情点击下面链接查看所有接受论文列表。
https://aaai.org/Conferences/AAAI-18/wp-content/uploads/2017/12/AAAI-18-Accepted-Paper-List.Web_.pdf
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