AAAI 2019

1,341 papers

Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing

Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki

Efficient Data Point Pruning for One-Class SVM

Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda

Combined Reinforcement Learning via Abstract Representations

Vincent Francois-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau

The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes

Stanislav Fort, Adam Scherlis

Transductive Bounds for the Multi-Class Majority Vote Classifier

Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini

Hypergraph Neural Networks

Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao

Collaboration Based Multi-Label Learning

Lei Feng, Bo An, Shuo He

Partial Label Learning with Self-Guided Retraining

Lei Feng, Bo An

Unsupervised Feature Selection by Pareto Optimization

Chao Feng, Chao Qian, Ke Tang

Improved Knowledge Graph Embedding Using Background Taxonomic Information

Bahare Fatemi, Siamak Ravanbakhsh, David Poole

Partial Multi-Label Learning via Credible Label Elicitation

Jun-Peng Fang, Min-ling Zhang

Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation

Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong

Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection

Qing En, Lijuan Duan, Zhaoxiang Zhang, Xiang Bai, Yundong Zhang

How to Combine Tree-Search Methods in Reinforcement Learning

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

Single-Label Multi-Class Image Classification by Deep Logistic Regression

Qi Dong, Xiatian Zhu, Shaogang Gong

Multistream Classification with Relative Density Ratio Estimation

Bo Dong, Yang Gao, Swarup Chandra, Latifur Khan

On-Line Adaptative Curriculum Learning for GANs

Thang Doan, Joao Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand

Approximate Kernel Selection with Strong Approximate Consistency

Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang

Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data

Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu

Balanced Linear Contextual Bandits

Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, guido imbens

Inverse Abstraction of Neural Networks Using Symbolic Interpolation

Sumanth Dathathri, Sicun Gao, Richard M. Murray

Learning Segmentation Masks with the Independence Prior

songmin dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong

Efficient Online Learning for Mapping Kernels on Linguistic Structures

Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti

Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks

Eric Crawford, Joelle Pineau

Diverse Exploration via Conjugate Policies for Policy Gradient Methods

Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, Xiangrong Tong

Utilizing Class Information for Deep Network Representation Shaping

Daeyoung Choi, Wonjong Rhee

End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks

Richard Cheng, Gábor Orosz, Richard M. Murray, Joel W. Burdick

Image Block Augmentation for One-Shot Learning

Zitian Chen, Yanwei Fu, Kaiyu Chen, Yu-Gang Jiang

Tensor Decomposition for Multilayer Networks Clustering

Zitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu

Embedding Uncertain Knowledge Graphs

Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo

A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks

Weijie Chen, yuan zhang, Di Xie, Shiliang Pu

Data-Adaptive Metric Learning with Scale Alignment

Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui

EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks

Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang

Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data

Shangyu Chen, Wenya Wang, Sinno Jialin Pan

Distributionally Robust Semi-Supervised Learning for People-Centric Sensing

Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long

Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient

Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang

Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification

Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu

Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation

Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin

Disjoint Label Space Transfer Learning with Common Factorised Space

Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales

Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies

Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio

Adversarial Learning of Semantic Relevance in Text to Image Synthesis

Miriam Cha, Youngjune L. Gwon, H. T. Kung

Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue

Junyu Cao, Wei Sun

FRAME Revisited: An Interpretation View Based on Particle Evolution

Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin

Deep Convolutional Sum-Product Networks

Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos, André L. Teixeira

CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks

Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel

Online Learning from Data Streams with Varying Feature Spaces

Ege Beyazit, Jeevithan Alagurajah, Xindong Wu

Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification

Christopher Bartley, Wei Liu, Mark Reynolds

Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition

Wissam J. Baddar, Yong Man Ro

High Dimensional Clustering with r-nets

Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer

Random Feature Maps for the Itemset Kernel

Kyohei Atarashi, Subhransu Maji, Satoshi Oyama

Robust Negative Sampling for Network Embedding

Mohammadreza Armandpour, Patrick Ding, Jianhua Huang, Xia Hu

Adversarial Label Learning

Chidubem Arachie, Bert Huang

Hyperprior Induced Unsupervised Disentanglement of Latent Representations

Abdul Fatir Ansari, Harold Soh

Attacking Data Transforming Learners at Training Time

Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I.P. Rubinstein

Character-Level Language Modeling with Deeper Self-Attention

Rami Al-Rfou, Dokook Choe, Noah Constant, Mandy Guo, Llion Jones

Model Learning for Look-Ahead Exploration in Continuous Control

Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki

An Exponential Tail Bound for the Deleted Estimate

Karim Abou–Moustafa, Csaba Szepesvári

State Abstraction as Compression in Apprenticeship Learning

David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman

On Completing Sparse Knowledge Base with Transitive Relation Embedding

Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang

Tracking Logical Difference in Large-Scale Ontologies: A Forgetting-Based Approach

Yizheng Zhao, Ghadah Alghamdi, Renate A. Schmidt, Hao Feng, Giorgos Stoilos

Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test

Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang

TransGate: Knowledge Graph Embedding with Shared Gate Structure

Jun Yuan, Neng Gao, Ji Xiang

Reasoning over Streaming Data in Metric Temporal Datalog

Przemysław Andrzej Wałęga, Mark Kaminski, Bernardo Cuenca Grau

Safe Partial Diagnosis from Normal Observations

Roni Stern, Brendan Juba

Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach

Marlo Souza, Álvaro Moreira, Renata Vieira

Amalgamating Knowledge towards Comprehensive Classification

Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song

End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion

Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He

Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME

Farhad Shakerin, Gopal Gupta

An Open-World Extension to Knowledge Graph Completion Models

Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait

Efficient Concept Induction for Description Logics

Md Kamruzzaman Sarker, Pascal Hitzler

ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning

Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie

Belief Change and Non-Monotonic Reasoning Sans Compactness

Jandson S. Ribeiro, Abhaya Nayak, Renata Wassermann

Blameworthiness in Strategic Games

Pavel Naumov, Jia Tao

Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming

Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral

On Limited Conjunctions and Partial Features in Parameter-Tractable Feature Logics

Stephanie McIntyre, Alexander Borgida, David Toman, Grant Weddell

Group Decision Diagram (GDD): A Compact Representation for Permutations

Takanori Maehara, Yuma Inoue

Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin

Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao

SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning

Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson

Complexity of Inconsistency-Tolerant Query Answering in Datalog+/– under Cardinality-Based Repairs

Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavičius

Implanting Rational Knowledge into Distributed Representation at Morpheme Level

Zi Lin, Yang Liu

SAT-Based Explicit LTLf Satisfiability Checking

Jianwen Li, Kristin Y. Rozier, Geguang Pu, Yueling Zhang, Moshe Y. Vardi

Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set Programming Encodings

Tuomo Lehtonen, Johannes P. Wallner, Matti Järvisalo

Multi-Context System for Optimization Problems

Tiep Le, Tran Cao Son, Enrico Pontelli

Representing and Learning Grammars in Answer Set Programming

Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo

Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise

Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky

Ontology-Based Query Answering for Probabilistic Temporal Data

Patrick Koopmann

LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion

Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng

Knowledge Refinement via Rule Selection

Phokion G. Kolaitis, Lucian Popa, Kun Qian

Minimum Intervention Cover of a Causal Graph

Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar

Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions

Xuanxiang Huang, Kehang Fang, Liangda Fang, Qingliang Chen, Zhao-Rong Lai

Modular Materialisation of Datalog Programs

Pan Hu, Boris Motik, Ian Horrocks

Partial Awareness

Joseph Y. Halpern, Evan Piermont

Forgetting in Modular Answer Set Programming

Ricardo Gonçalves, Tomi Janhunen, Matthias Knorr, João Leite, Stefan Woltran

A Sequential Set Generation Method for Predicting Set-Valued Outputs

Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock

Counting Complexity for Reasoning in Abstract Argumentation

Johannes K. Fichte, Markus Hecher, Arne Meier

Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability

Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen

Strong Equivalence for Epistemic Logic Programs Made Easy

Wolfgang Faber, Michael Morak, Stefan Woltran

Complexity of Abstract Argumentation under a Claim-Centric View

Wolfgang Dvořák, Stefan Woltran

On Structured Argumentation with Conditional Preferences

Phan Minh Dung, Phan Minh Thang, Tran Cao Son

Validation of Growing Knowledge Graphs by Abductive Text Evidences

Jianfeng Du, Jeff Z. Pan, Sylvia Wang, Kunxun Qi, Yuming Shen