AAAI 2019

1,341 papers

Classifier-Agnostic Saliency Map Extraction

Konrad Zołna, Krzysztof J. Geras, Kyunghyun Cho

Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise

Yuqian Zhou, Jianbo Jiao, Haibin Huang, Jue Wang, Thomas Huang

Semi-Supervised Feature Selection with Adaptive Discriminant Analysis

Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie

Geometric Multi-Model Fitting by Deep Reinforcement Learning

Zongliang Zhang, Hongbin Zeng, Jonathan Li, Yiping Chen, Chenhui Yang

Computing Argumentative Explanations in Bipolar Argumentation Frameworks

Zhiwei Zeng, Chunyan Miao, Cyril Leung, Zhiqi Shen, Jing Jih Chin

Adversarial Framing for Image and Video Classification

Michał Zając, Konrad Zołna, Negar Rostamzadeh, Pedro O. Pinheiro

Sequence to Sequence Learning for Query Expansion

Salah Zaiem, Fatiha Sadat

APRP: An Anonymous Propagation Method in Bitcoin Network

Yuhang Yao, Xiao Zeng, Tianyue Cao, Luoyi Fu, Xinbing Wang

Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning

Lingkai Yang, Yinan Guo, Jian Cheng

Towards Gene Function Prediction via Multi-Networks Representation Learning

Hansheng Xue, Jiajie Peng, Xuequn Shang

Incorporating Context-Relevant Knowledge into Convolutional Neural Networks for Short Text Classification

Jingyun Xu, Yi Cai

DSINE: Deep Structural Influence Learning via Network Embedding

Jianjun Wu, Ying Sha, Bo Jiang, Jianlong Tan

Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter

Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Bert-Jan F. van Beijnum, Peter H. Veltink

Heterogeneous Attributed Network Embedding with Graph Convolutional Networks

Yueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang

Transductive Zero-Shot Learning via Visual Center Adaptation

Ziyu Wan, Yan Li, Min Yang, Junge Zhang

Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction

Ashwini Tonge, Cornelia Caragea

Robust Facial Landmark Localization Based on Two-Stage Cascaded Pose Regression

Ziye Tong, Junwei Zhou, Yanchao Yang, Lee-Ming Cheng

MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning

Manan Tomar, Akhil Sathuluri, Balaraman Ravindran

Binary Classifier Inspired by Quantum Theory

Prayag Tiwari, Massimo Melucci

An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning

Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang

Semi-Supervised Learning for Electron Microscopy Image Segmentation

Eichi Takaya, Yusuke Takeichi, Mamiko Ozaki, Satoshi Kurihara

Symmetrization for Embedding Directed Graphs

Jiankai Sun, Srinivasan Parthasarathy

An Adaptive Framework for Conversational Question Answering

Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang

Identifying Bottlenecks in Practical SAT-Based Model Finding for First-Order Logic Ontologies with Datasets

Shirly Stephen, Torsten Hahmann

Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search

Helge Spieker

Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals

Kacper Sokol, Peter Flach

MIGAN: Malware Image Synthesis Using GANs

Abhishek Singh, Debojyoti Dutta, Amit Saha

Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?

Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao

Examining Political Trustworthiness through Text-Based Measures of Ideology

Eitan Sapiro-Gheiler

Towards Task Understanding in Visual Settings

Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz

A Whole New Ball Game: Harvesting Game Data for Player Profiling

Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua

Lipper: Speaker Independent Speech Synthesis Using Multi-View Lipreading

Khwaja Mohd. Salik, Swati Aggarwal, Yaman Kumar, Rajiv Ratn Shah, Rohit Jain

Implementation of Boolean AND and OR Logic Gates with Biologically Reasonable Time Constants in Spiking Neural Networks

Lakshay Sahni, Debasrita Chakraborty, Ashish Ghosh

Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG

Pramit Saha, Sidney Fels

Towards Better Accuracy and Robustness with Localized Adversarial Training

Eitan Rothberg, Tingting Chen, Hao Ji

Learning to Transfer Relational Representations through Analogy

Gaetano Rossiello, Alfio Gliozzo, Michael Glass

EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning

Jinfu Ren, Yang Liu, Jiming Liu

Learning Representations in Model-Free Hierarchical Reinforcement Learning

Jacob Rafati, David C. Noelle

Strategic Tasks for Explainable Reinforcement Learning

Rey Pocius, Lawrence Neal, Alan Fern

A Feasibility Test on Preventing PRMDs Based on Deep Learning

So-Hyun Park, Sun-Young Ihm, Aziz Nasridinov, Young-Ho Park

Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters

Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

An Improved Hierarchical Datastructure for Nearest Neighbor Search

Mengdie Nie, Zhi-Jie Wang, Chunjing Gan, Zhe Quan, Bin Yao

Frontier Search and Plan Reconstruction in Oversubscription Planning

Daniel Muller

On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components

Gaku Morio, Katsuhide Fujita

Logic-Based Sequential Decision-Making

Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon

Learning Document Embeddings with Crossword Prediction

Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai

Adaptive Optimization Framework for Control of Multi-Agent Systems

Anna Lukina

The Level Weighted Structural Similarity Loss: A Step Away from MSE

Yingjing Lu

A Multi-Task Learning Framework for Abstractive Text Summarization

Yao Lu, Linqing Liu, Zhile Jiang, Min Yang, Randy Goebel

Towards to Reasonable Decision Basis in Automatic Bone X-Ray Image Classification: A Weakly-Supervised Approach

Jianjie Lu, Kai-yu Tong

Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes

Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang

Jointly Multiple Hash Learning

Xingbo Liu, Xiushan Nie, Yingxin Wang, Yilong Yin

Deep Reinforcement Learning via Past-Success Directed Exploration

Xiaoming Liu, Zhixiong Xu, Lei Cao, Xiliang Chen, Kai Kang

Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning

Shengchao Liu, Yingyu Liang, Anthony Gitter

Location-Based End-to-End Speech Recognition with Multiple Language Models

Zhijie Lin, Kaiyang Lin, Shiling Chen, Linlin Li, Zhou Zhao

Teaching Machines to Extract Main Content for Machine Reading Comprehension

Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan

Meta-Path Augmented Response Generation

Yanran Li, Wenjie Li

A Fuzzy Set Based Approach for Rating Bias

Mingming Li, Jiao Dai, Fuqing Zhu, Liangjun Zang, Songlin Hu

Efficient Neutrino Oscillation Parameter Inference with Gaussian Process

Lingge Li, Nitish Nayak, Jianming Bian, Pierre Baldi

Cross-Domain Recommendation via Coupled Factorization Machines

Lile Li, Quan Do, Wei Liu

Video-Based Sentiment Analysis with hvnLBP-TOP Feature and bi-LSTM

Haoran Li, Hua Xu

Comparing Sample-Wise Learnability across Deep Neural Network Models

Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe

SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart

In-Seok Lee, Jun-Geol Baek

Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy

Igor Kiselev

Learning Options with Interest Functions

Khimya Khetarpal, Doina Precup

A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles

Kherroubi Zine el Abidine, Aknine Samir, Bacha Rebiha

Mind Your Language: Abuse and Offense Detection for Code-Switched Languages

Raghav Kapoor, Yaman Kumar, Kshitij Rajput, Rajiv Ratn Shah, Ponnurangam Kumaraguru

Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System

Younkook Kang, Sungwon Lyu, Jeeyung Kim, Bongjoon Park, Sungzoon Cho

AVS-Net: Automatic Visual Surveillance Using Relation Network

Sein Jang, Young-Ho Park, Aziz Nasridinov

Higher-Order Multi-Layer Community Detection

Ling Huang, Chang-Dong Wang, Hong-Yang Chao

WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks

Zijian Hu, Fuli Luo, Yutong Tan, Wenxin Zeng, Zhifang Sui

What’s Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System

Mononito Goswami, Shiven Mian, Jack Mostow

Reinforcement Learning under Threats

Victor Gallego, Roi Naveiro, David Rios Insua

A Meta-Learning Approach for Custom Model Training

Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram

A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset

Wenyu Du, Baocheng Li, Min Yang, Qiang Qu, Ying Shen

CSEye: A Proposed Solution for Accurate and Accessible One-to-Many Face Verification

Ameer Dharamshi, Rosie Yuyan Zou

Type Sequence Preserving Heterogeneous Information Network Embedding

Yuxin Chen, Tengjiao Wang, Wei Chen, Qiang Li, Zhen Qiu

T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition

Yifeng Chen, Cheng Wu, Yiming Wang

WAIS: Word Attention for Joint Intent Detection and Slot Filling

Sixuan Chen, Shuai Yu

Robust Principal Component Analysis-Based Infrared Small Target Detection

Qiwei Chen, Cheng Wu, Yiming Wang

An Imperfect Algorithm for Coalition Structure Generation

Narayan Changder, Samir Aknine, Animesh Dutta

Matroid Constrained Fair Allocation Problem

Arpita Biswas, Siddharth Barman

Building Human-Machine Trust via Interpretability

Umang Bhatt, Pradeep Ravikumar, Jos´e M. F. Moura

Partners in Crime: Manipulating the Deferred Acceptance Algorithm through an Accomplice

Theodora Bendlin, Hadi Hosseini

An SVM-Based Framework for Long-Term Learning Systems

Diana Benavides-Prado

Learning Flexible Latent Representations via Encapsulated Variational Encoders

Wenjun Bai, Changqin Quan, Zhi-Wei Luo

Identifying Android Malware Using Network-Based Approaches

Emily Alfs, Doina Caragea, Nathan Albin, Pietro Poggi-Corradini

CommNets: Communicating Neural Network Architectures for Resource Constrained Systems

Prince M Abudu

Attention Guided Imitation Learning and Reinforcement Learning

Ruohan Zhang

Stochastic Goal Recognition Design

Christabel Wayllace

Verifiable and Interpretable Reinforcement Learning through Program Synthesis

Abhinav Verma

Imitation Learning from Observation

Faraz Torabi

Parameterized Heuristics for Incomplete Weighted CSPs

Atena M. Tabakhi

Adaptive Modeling for Risk-Aware Decision Making

Sandhya Saisubramanian

Numerical Optimization to AI, and Back

Sathya N. Ravi

Multi-View Learning from Disparate Sources for Poverty Mapping

Neeti Pokhriyal

Learning Generalized Temporal Abstractions across Both Action and Perception

Khimya Khetarpal

Using Automated Agents to Teach Negotiation

Emmanuel Johnson

Counterfactual Reasoning in Observational Studies

Negar Hassanpour

Reinforcement Learning for Improved Low Resource Dialogue Generation

Ana V. González-Garduño