【最新】人工智能领域顶会AAAI 2018 Pre-Proceedings 论文列表(附pdf下载链接)

2018 年 1 月 8 日 专知

【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-per￾click 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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