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ORCIDCoRR, March 2019
- Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson:
A Deep DUAL-PATH Network for Improved Mammogram Image Processing. - Sergey Kolesnikov, Oleksii Hrinchuk:
Catalyst.RL: A Distributed Framework for Reproducible RL Research. - Jugal Garg, Setareh Taki:
An Improved Approximation Algorithm for Maximin Shares. - Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen:
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation. - Aleksandra Kalinowska, Thomas A. Berrueta, Adam Zoss, Todd D. Murphey:
Data-Driven Gait Segmentation for Walking Assistance in a Lower-Limb Assistive Device. - Robert Wallace, Collin McMillan:
EyeDoc: Documentation Navigation with Eye Tracking. - Gaurav Kumar, George F. Foster, Colin Cherry, Maxim Krikun:
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation. - Shijian Li, Robert J. Walls, Lijie Xu, Tian Guo:
Speeding up Deep Learning with Transient Servers. - Xingkang He, Qian Liu, Junfeng Wu, Karl Henrik Johansson:
Distributed Parameter Estimation Under Event-triggered Communications. - Ankur Bapna, Orhan Firat:
Non-Parametric Adaptation for Neural Machine Translation. - Skanda Vivek, David Yanni, Peter J. Yunker, Jesse L. Silverberg:
Cyber-physical risks of hacked Internet-connected vehicles. - Su Zhang:
Apply SOA Paradigms in Cyber-Physical System to Enhance Interoperability: State-of-the-Art Review. - Ting Bai, Pan Du, Wayne Xin Zhao, Ji-Rong Wen, Jian-Yun Nie:
A Long-Short Demands-Aware Model for Next-Item Recommendation. - Xinyun Zou, Soheil Kolouri, Praveen K. Pilly, Jeffrey L. Krichmar:
Neuromodulated Goal-Driven Perception in Uncertain Domains. - Margaret M. Coad, Laura H. Blumenschein, Sadie Cutler, Javier A. Reyna Zepeda, Nicholas D. Naclerio, Haitham El-Hussieny, Usman Mehmood, Jee-Hwan Ryu, Elliot W. Hawkes, Allison M. Okamura:
Vine Robots: Design, Teleoperation, and Deployment for Navigation and Exploration. - Binghong Chen, Bo Dai, Le Song:
Learning to Plan via Neural Exploration-Exploitation Trees. - Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker:
On the Effectiveness of Low Frequency Perturbations. - Joshua Feldman, Jeannette C. M. Janssen:
High Degree Vertices and Spread of Infections in Spatially Modelled Social Networks. - Shuyang Chen, John T. Wen:
Industrial Robot Trajectory Tracking Using Multi-Layer Neural Networks Trained by Iterative Learning Control. - Shailesh Shrivastava, Alakh Aggarwal, Pratik Chattopadhyay:
Broad Neural Network for Change Detection in Aerial Images. - Roee Aharoni, Melvin Johnson, Orhan Firat:
Massively Multilingual Neural Machine Translation. - Prakash Mohan, Marc T. Henry de Frahan
, Ryan King, Ray W. Grout:
A block-random algorithm for learning on distributed, heterogeneous data. - Rohan Kodialam:
Optimal Algorithms for Ski Rental with Soft Machine-Learned Predictions. - Peng Jiang, Yingrui Yang, Gann Bierner, Fengjie Alex Li, Ruhan Wang, Azadeh Moghtaderi:
Ranking in Genealogy: Search Results Fusion at Ancestry. - Shaojie Xu, Anvesha Amaravati, Justin Romberg, Arijit Raychowdhury:
Appearance-based Gesture recognition in the compressed domain. - Ghadeer Al-Bdour, Raffi Al-Qurran, Mahmoud Al-Ayyoub, Ali M. Shatnawi:
A detailed comparative study of open source deep learning frameworks. - Xiaorui Wu, Hong Xu, Honglin Zhang, Huaming Chen, Jian Wang:
Saec: Similarity-Aware Embedding Compression in Recommendation Systems. - Ainagul Jumabekova, Julien Berger, Denys Dutykh, Hervé Le Meur, Aurélie Foucquier, Mickaël Pailha, Christophe Ménézo:
An efficient numerical model for liquid water uptake in porous material and its parameter estimation. - Shuang Zhang, Ada Zhen, Robert L. Stevenson:
GAN Based Image Deblurring Using Dark Channel Prior. - Mohamed Elfeki, Ali Borji:
Video Summarization via Actionness Ranking. - Sailik Sengupta, Zahra Zahedi, Subbarao Kambhampati:
To Monitor or to Trust: Observing Robot's Behavior based on a Game-Theoretic Model of Trust. - Huangying Zhan, Chamara Saroj Weerasekera, Ravi Garg, Ian D. Reid:
Self-supervised Learning for Single View Depth and Surface Normal Estimation. - (Withdrawn) A Sketch Based 3D Shape Retrieval Approach Based on Efficient Deep Point-to-Subspace Metric Learning.
- Pingzhi Yuan, Kevin Zhao:
On the Existence of Perfect Splitter Sets. - Matthew Cong, Lana Lan, Ronald Fedkiw:
Local Geometric Indexing of High Resolution Data for Facial Reconstruction from Sparse Markers. - Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Improving Grounded Natural Language Understanding through Human-Robot Dialog. - Liyu Wang, Yuxiang Yang, Gustavo Correa, Konstantinos Karydis, Ronald S. Fearing:
OpenRoACH: A Durable Open-Source Hexapedal Platform with Onboard Robot Operating System (ROS). - Robert Pottorff, Jared Nielsen, David Wingate:
Video Extrapolation with an Invertible Linear Embedding. - Bingli Jiao, Yuli Yang, Mingxi Yin:
A Method Beyond Channel Capacity in the Low SNR Regime: Theoretical Proof and Numerical Confirmation. - Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, Jingming Liu:
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data. - Steven Spratley, Daniel Beck, Trevor Cohn:
A Unified Neural Architecture for Instrumental Audio Tasks. - Chao Cao, Pete Trautman, Soshi Iba:
Dynamic Channel: A Planning Framework for Crowd Navigation. - Longtu Zhang, Mamoru Komachi:
Chinese-Japanese Unsupervised Neural Machine Translation Using Sub-character Level Information. - Juraj Kolcák, Ichiro Hasuo, Jérémy Dubut, Shin-ya Katsumata, David Sprunger, Akihisa Yamada:
Relational Differential Dynamic Logic. - Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Sandeep Soni, Emilio Ferrara, Kristina Lerman:
Characterizing Activity on the Deep and Dark Web. - Sixing Hu, Gim Hee Lee:
Image-Based Geo-Localization Using Satellite Imagery. - Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner:
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. - Chul-Ho Lee, Srinivas Tenneti, Do Young Eun:
Transient Dynamics of Epidemic Spreading and its Mitigation on Large Networks. - Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Y. Halevy, H. V. Jagadish:
Open Information Extraction from Question-Answer Pairs. - Ting Zhao, Xiangqian Wu:
Pyramid Feature Selective Network for Saliency detection. - Junhao Hua, Chunguang Li:
Distributed Variational Bayesian Algorithms for Extended Object Tracking. - Guocai He:
Lung CT Imaging Sign Classification through Deep Learning on Small Data. - Samir Benbelkacem, Djamel Aouam, Nadia Zenati-Henda, Abdelkader Bellarbi, Ahmed Bouhena, Samir Otmane:
MVC-3D: Adaptive Design Pattern for Virtual and Augmented Reality Systems. - Ahmad Ahmadi, Reza Faghih Mirzaee:
MIPS-Core Application Specific Instruction-Set Processor for IDEA Cryptography - Comparison between Single-Cycle and Multi-Cycle Architectures. - Xiang Gu, Sina Ghiassian, Richard S. Sutton:
Should All Temporal Difference Learning Use Emphasis? - Michael X. Cao, Pascal O. Vontobel:
Bounding and Estimating the Classical Information Rate of Quantum Channels with Memory. - Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski:
Non-linear ICA based on Cramer-Wold metric. - Hui-Ming Wang, Xu Zhang, Qian Yang, Theodoros A. Tsiftsis:
Secure Users Oriented Downlink MISO NOMA. - Anna Dai, Zhifeng Zhao, Honggang Zhang, Rongpeng Li, Yugeng Zhou:
Evaluation Mechanism of Collective Intelligence for Heterogeneous Agents Group. - Ryosuke Homma, Keiichi Soejima, Mitsuo Yoshida, Kyoji Umemura:
Analysis of User Dwell Time on Non-News Pages. - Egor Lakomkin, Sven Magg, Cornelius Weber, Stefan Wermter:
KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos. - Edouard Leurent, Yann Blanco, Denis V. Efimov, Odalric-Ambrym Maillard:
Approximate Robust Control of Uncertain Dynamical Systems. - Daniele D'Angeli, Dominik Francoeur, Emanuele Rodaro, Jan Philipp Wächter:
Orbits of Automaton Semigroups and Groups. - Wim Martens, Matthias Niewerth, Tina Trautner:
A Trichotomy for Regular Trail Queries. - Lorenz Hübschle-Schneider, Peter Sanders:
Parallel Weighted Random Sampling. - Lars Berscheid, Thomas Rühr, Torsten Kröger:
Improving Data Efficiency of Self-supervised Learning for Robotic Grasping. - Liyuan Pan, Yuchao Dai, Miaomiao Liu:
Single Image Deblurring and Camera Motion Estimation with Depth Map. - Muhammad Aslam Jarwar:
A Framework for Detecting Event related Sentiments of a Community. - (Withdrawn) Dominant Dataset Selection Algorithms for Time-Series Data Based on Linear Transformation.
- Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, Xinggang Wang:
Mask Scoring R-CNN. - Ning Wang, Zi-Yi Wang, Jian-Guo Liu, Jingti Han:
Maximizing spreading influence via measuring influence overlap for social networks. - Ji Liu, Lei Zhang:
Optimal Projection Guided Transfer Hashing for Image Retrieval. - Ben Lonnqvist, Alasdair D. F. Clarke, Ramakrishna Chakravarthi:
Object Recognition in Deep Convolutional Neural Networks is Fundamentally Different to That in Humans. - Margarita Grinvald, Fadri Furrer, Tonci Novkovic, Jen Jen Chung, Cesar Cadena, Roland Siegwart, Juan I. Nieto:
Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery. - Alexis Decurninge, Luis Garcia Ordóñez, Maxime Guillaud:
Covariance-Aided CSI Acquisition with Non-Orthogonal Pilots in Massive MIMO Systems. - Hafez Farazi, Sven Behnke:
Frequency Domain Transformer Networks for Video Prediction. - Giovanni de Carolis, Sergio Galeani, Mario Sassano:
Robust Hybrid Output Regulation for Linear Systems with Periodic Jumps: the non-semiclassical case. - Eloi Alonso, Bastien Moysset, Ronaldo O. Messina:
Adversarial Generation of Handwritten Text Images Conditioned on Sequences. - Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski, Wentao Wu, Ce Zhang:
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment. - Marc Carrascosa, Boris Bellalta:
Decentralized AP selection using Multi-Armed Bandits: Opportunistic ε-Greedy with Stickiness. - Manuel Gall, Stefanie Rinderle-Ma:
Visualizing Multiple Process Attributes in one 3D Process Representation. - Tony Lindeberg:
Provably scale-covariant networks from oriented quasi quadrature measures in cascade. - Robert Bredereck, Edith Elkind, Ayumi Igarashi:
Hedonic Diversity Games. - Bo Hu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan:
Progress Regression RNN for Online Spatial-Temporal Action Localization in Unconstrained Videos. - Erwan Le Merrer, Gilles Trédan:
TamperNN: Efficient Tampering Detection of Deployed Neural Nets. - Hans Yu, Matthew P. Juniper, Luca Magri:
Combined State and Parameter Estimation in Level-Set Methods. - Mohammad Vahid Jamali, Hessam Mahdavifar:
Uplink Non-Orthogonal Multiple Access over Mixed RF-FSO Systems. - I. S. W. B. Prasetya, Craig Q. H. D. Leek, Orestis Melkonian, Joris ten Tusscher, Jan van Bergen, J. M. Everink, Thomas van der Klis, Petar Kostic, Rick Meijerink, Roan Oosenbrug, Jelle J. Oostveen, Tijmen van den Pol, Mike de Vries, Wink M. van Zon:
Having Fun in Learning Formal Specifications. - Jasper De Bock, Gert de Cooman:
An alternative approach to coherent choice functions. - Huan Lei, Naveed Akhtar, Ajmal Mian:
Octree guided CNN with Spherical Kernels for 3D Point Clouds. - Mikel Elkano, Mikel Uriz, Humberto Bustince, Mikel Galar:
On the usage of the probability integral transform to reduce the complexity of multi-way fuzzy decision trees in Big Data classification problems. - Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation. - JianMing Zhou, Yu Li:
Interpretation of NDTM in the definition of NP. - Aljosa Osep, Paul Voigtlaender, Jonathon Luiten, Stefan Breuers, Bastian Leibe:
Large-Scale Object Mining for Object Discovery from Unlabeled Video. - Robik Shrestha, Kushal Kafle, Christopher Kanan:
Answer Them All! Toward Universal Visual Question Answering Models. - Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H. Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Ryan Sepassi, George Tucker, Henryk Michalewski:
Model-Based Reinforcement Learning for Atari. - Lu Xu, Jinhai Xiang, Yating Wang, Fuchuan Ni:
Data-driven Approach for Quality Evaluation on Knowledge Sharing Platform. - Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Hua Li, Mark A. Anastasio:
Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression. - Viktor Varkarakis, Shabab Bazrafkan, Peter Corcoran:
Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets. - Joshua Peter Ebenezer, Bijaylaxmi Das, Sudipta Mukhopadhyay:
Single Image Haze Removal Using Conditional Wasserstein Generative Adversarial Networks. - Jiaming Xu, Yuan Zhong:
Improved queue-size scaling for input-queued switches via graph factorization. - Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell:
Learning To Follow Directions in Street View. - Aritra Chowdhury, Malik Magdon-Ismail, Bülent Yener:
Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelines. - Rafiq Ahmed Mohammed, Kok Wai Wong, Mohd Fairuz Shiratuddin, Xuequn Wang:
Improving fraud prediction with incremental data balancing technique for massive data streams. - Angel Andres Daruna, Weiyu Liu, Zsolt Kira, Sonia Chernova:
RoboCSE: Robot Common Sense Embedding. - Daniel C. Elton, Dhruv Turakhia, Nischal Reddy, Zois Boukouvalas, Mark D. Fuge, Ruth M. Doherty, Peter W. Chung:
Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora. - Yi Lu, Xiangyao Yu, Samuel Madden:
SCAR: Strong Consistency using Asynchronous Replication with Minimal Coordination. - Min Liu, Zherong Pan, Kai Xu, Kanishka Ganguly, Dinesh Manocha:
Generating Grasp Poses for a High-DOF Gripper Using Neural Networks. - Rajkarn Singh, Marco Fiore, Mahesh K. Marina, Alessandro Nordio, Alberto Tarable:
Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale. - Amaury Van Bemten, Jochen W. Guck, Carmen Mas Machuca, Wolfgang Kellerer:
Bounded Dijkstra (BD): Search Space Reduction for Expediting Shortest Path Subroutines. - Felix G. Hamza-Lup, Ivan Sopin:
Web-Based 3D and Haptic Interactive Environments for e-Learning, Simulation, and Training. - Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa:
Deep Learning for Multiple-Image Super-Resolution. - Kevin Chen, Juan Pablo de Vicente, Gabriel Sepulveda, Fei Xia, Alvaro Soto, Marynel Vázquez, Silvio Savarese:
A Behavioral Approach to Visual Navigation with Graph Localization Networks. - Saad Islam, Ahmad Moghimi, Ida Bruhns, Moritz Krebbel, Berk Gülmezoglu, Thomas Eisenbarth, Berk Sunar:
SPOILER: Speculative Load Hazards Boost Rowhammer and Cache Attacks. - Ivan Puddu, Daniele Lain, Moritz Schneider, Elizaveta Tretiakova, Sinisa Matetic, Srdjan Capkun:
TEEvil: Identity Lease via Trusted Execution Environments. - Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Chris Burgess, Daniel Zoran, Loïc Matthey, Matthew M. Botvinick, Alexander Lerchner:
Multi-Object Representation Learning with Iterative Variational Inference. - Amirhesam Shahvarani, Hans-Arno Jacobsen:
Parallel Index-based Stream Join on a Multicore CPU. - Liqun Lin, Shiqi Yu, Tiesong Zhao, Zhou Wang:
PEA265: Perceptual Assessment of Video Compression Artifacts. - Akash Jain, Manish Kumar, Rithvik Patibandla, Balamurugan R, Naveen Chandra R, Abhinav Arora, Akash K. Singh, Varun Pawar, Aditya Rai, Medha Agarwal, Priank Prasad, Vandit Sanadhya, Inshu Namdev, Nilay Shah, Saksham Mittal, Ayush Gupta, Naman Agarwal, Mangal Kothari:
Design and Development of Underwater Vehicle: ANAHITA. - Jaouhar Fattahi, Mohamed Mejri, Emil Pricop:
On the Security of Cryptographic Protocols Using the Little Theorem of Witness Functions. - Sihem Mesnager, Chunming Tang, Maosheng Xiong:
On the boomerang uniformity of (quadratic) permutations over F2n. - Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal:
Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. - Insu Yun, Dhaval Kapil, Taesoo Kim:
Automatic Techniques to Systematically Discover New Heap Exploitation Primitives. - Sebastian Siebertz:
Parameterized Distributed Complexity Theory: A logical approach. - Giorgio Vinciguerra, Paolo Ferragina, Michele Miccinesi:
Superseding traditional indexes by orchestrating learning and geometry. - Laura Rieger, Lars Kai Hansen:
Aggregating explainability methods for neural networks stabilizes explanations. - Kyle D. Julian, Mykel J. Kochenderfer:
A Reachability Method for Verifying Dynamical Systems with Deep Neural Network Controllers. - Marika Swanberg, Ira Globus-Harris, Iris Griffith, Anna M. Ritz, Adam Groce, Andrew Bray:
Improved Differentially Private Analysis of Variance. - Minxian Li, Xiatian Zhu, Shaogang Gong:
Unsupervised Tracklet Person Re-Identification. - Aadirupa Saha, Aditya Gopalan:
Regret Minimisation in Multinomial Logit Bandits. - Mark Bun, Nikhil S. Mande, Justin Thaler:
Sign-Rank Can Increase Under Intersection. - Frank Wang, Danjue Li:
A Nonlinear Model for Time Synchronization. - Zhihao Jiang, Haoyu Zhao:
An FPTAS for Stochastic Unbounded Min-Knapsack Problem. - Binghui Wang, Neil Zhenqiang Gong:
Attacking Graph-based Classification via Manipulating the Graph Structure. - Aadirupa Saha, Aditya Gopalan:
From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model. - Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai:
JIM: Joint Influence Modeling for Collective Search Behavior. - Fatemeh Sadat Tabei, Behnam Askarian:
Effect of Proxy Nodes on the Performance of TCP-Based Transport Layer Protocols in Wireless Sensor Networks. - Tianyu Li, Bolun Dai:
GRP Model for Sensorimotor Learning. - Sebastian Brandt, Klaus-Tycho Foerster, Jonathan Maurer, Roger Wattenhofer:
Online Graph Exploration on a Restricted Graph Class: Optimal Solutions for Tadpole Graphs. - Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho:
PuVAE: A Variational Autoencoder to Purify Adversarial Examples. - Fausto Milletari, Vighnesh Birodkar, Michal Sofka:
Straight to the point: reinforcement learning for user guidance in ultrasound. - Hadi Ravanbakhsh, Sriram Sankaranarayanan, Sanjit A. Seshia:
Formal Policy Learning from Demonstrations for Reachability Properties. - Vladimir Batagelj, Daria Maltseva:
Temporal Bibliographic Networks. - Vladimir Batagelj:
On Fractional Approach to Analysis of Linked Networks. - Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris:
Discovering Options for Exploration by Minimizing Cover Time. - Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini:
GAP: Generalizable Approximate Graph Partitioning Framework. - Yu Yao, Mingze Xu, Yuchen Wang, David J. Crandall, Ella M. Atkins:
Unsupervised Traffic Accident Detection in First-Person Videos. - Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian D. Reid:
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. - Chenchen Zhu, Yihui He, Marios Savvides:
Feature Selective Anchor-Free Module for Single-Shot Object Detection. - Jun Jin, Masood Dehghan, Laura Petrich, Steven Weikai Lu, Martin Jägersand:
Evaluation of state representation methods in robot hand-eye coordination learning from demonstration. - Jiali Duan, Qian Wang, Lerrel Pinto, C.-C. Jay Kuo, Stefanos Nikolaidis:
Robot Learning via Human Adversarial Games. - Menglei Hu, Songcan Chen:
One-Pass Incomplete Multi-view Clustering. - Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka:
Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety. - Hayato Ushijima-Mwesigwa, Zadid Khan, Mashrur A. Chowdhury, Ilya Safro:
Centralities for Networks with Consumable Resources. - Jens Lundell, Francesco Verdoja, Ville Kyrki:
Robust Grasp Planning Over Uncertain Shape Completions. - Ryota Moriyama, Weiwei Wan, Kensuke Harada:
Dual-arm Assembly Planning Considering Gravitational Constraints. - Hongzhuo Liang, Shuang Li, Xiaojian Ma, Norman Hendrich, Timo Gerkmann, Jianwei Zhang:
Making Sense of Audio Vibration for Liquid Height Estimation in Robotic Pouring. - Xuanyu Zhu, Yi Xu, Hongteng Xu, Changjian Chen:
Quaternion Convolutional Neural Networks. - Vasco Lopes, Luís A. Alexandre, Nuno Pereira:
Controlling Robots using Artificial Intelligence and a Consortium Blockchain. - Qingkai Shi, Jun Wan, Yang Feng, Chunrong Fang, Zhenyu Chen:
DeepGini: Prioritizing Massive Tests to Reduce Labeling Cost. - Eric Monteiro, Elena Parmiggiani:
Synthetic Knowing: The Politics of the Internet of Things. - Andrei-Bogdan Puiu, Andrei-Octavian Brabete:
SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media. - Giulia Luise, Dimitris Stamos, Massimiliano Pontil, Carlo Ciliberto:
Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction. - Paola Ardón, Kaisar Kushibar, Songyou Peng:
A Hybrid SLAM and Object Recognition System for Pepper Robot. - G. Dias Pais, Tiago J. Dias, Jacinto C. Nascimento, Pedro Miraldo:
OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras. - Keisuke Yoshida, Masaki Inoue, Takeshi Hatanaka:
Instant MPC for linear systems and dissipativity-based stability analysis. - Benjamin Schnieders, Shan Luo, Gregory Palmer, Karl Tuyls:
Fully Convolutional One-Shot Object Segmentation for Industrial Robotics. - Dominik Dürrschnabel, Tom Hanika, Gerd Stumme:
DimDraw - A novel tool for drawing concept lattices. - Noshaba Cheema, Somayeh Hosseini, Janis Sprenger, Erik Herrmann, Han Du, Klaus Fischer, Philipp Slusallek:
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks. - Matteo Cinelli, Emanuele Brugnoli, Ana Lucía Schmidt, Fabiana Zollo, Walter Quattrociocchi, Antonio Scala:
Selective Exposure shapes the Facebook News Diet. - Fei Wen, Rendong Ying, Peilin Liu, Trieu-Kien Truong:
Matrix Completion via Nonconvex Regularization: Convergence of the Proximal Gradient Algorithm. - Binghan He, Huang Huang, Gray C. Thomas, Luis Sentis:
Complex Stiffness Model of Physical Human-Robot Interaction: Implications for Control of Performance Augmentation Exoskeletons. - Xuhao Jiang, Liquan Shen, Guorui Feng, Liangwei Yu, Ping An:
Deep Optimization model for Screen Content Image Quality Assessment using Neural Networks. - Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu:
PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation. - Nirmit Desai, Linsong Chu, Raghu K. Ganti, Sebastian Stein, Mudhakar Srivatsa:
neuralRank: Searching and ranking ANN-based model repositories. - Viktor Malík, Martin Hruska, Peter Schrammel, Tomás Vojnar:
2LS: Heap Analysis and Memory Safety (Competition Contribution). - Paula Fraga-Lamas, Peio López-Iturri, Mikel Celaya-Echarri, Óscar Blanco-Novoa, Leyre Azpilicueta, José Varela-Barbeito, Francisco Falcone, Tiago M. Fernández-Caramés:
Design and Validation of a Bluetooth 5 Fog Computing Based Industrial CPS Architecture for Intelligent Industry 4.0 Shipyard Workshops. - Xihan Li, Jia Zhang, Jiang Bian, Yunhai Tong, Tie-Yan Liu:
A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network. - Ruo-Ze Liu, Haifeng Guo, Xiaozhong Ji, Yang Yu, Zitai Xiao, Yuzhou Wu, Zhen-Jia Pang, Tong Lu:
Efficient Reinforcement Learning with a Mind-Game for Full-Length StarCraft II. - Sebastian R. Bader, Maria Maleshkova:
Virtual Representations for Iterative IoT Deployment. - Lukas Pfannschmidt, Christina Göpfert, Ursula Neumann, Dominik Heider, Barbara Hammer:
FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration. - Cornelius Diekmann, Johannes Naab, Andreas Korsten, Georg Carle:
Agile Network Access Control in the Container Age. - Nicolas Garneau, Jean-Samuel Leboeuf, Luc Lamontagne:
Predicting and interpreting embeddings for out of vocabulary words in downstream tasks. - Pablo Barceló, Chih-Duo Hong, Xuan Bach Le, Anthony W. Lin, Reino Niskanen:
Monadic Decomposability of Regular Relations. - Fatih Tasyaran, Kerem Yildirir, Kamer Kaya, Mustafa Kemal Tas:
One Table to Count Them All: Parallel Frequency Estimation on Single-Board Computers. - Dimitrios Liarokapis, Elizabeth ONeil, Patrick ONeil:
HISTEX (HISTory EXerciser) : A tool for testing the implementation of Isolation Levels of Relational Database Management Systems. - Daniel S. Katz, Kenton McHenry, Caleb Reinking, Robert Haines:
Research Software Development & Management in Universities: Case Studies from Manchester's RSDS Group, Illinois' NCSA, and Notre Dame's CRC. - Shishir Nagaraja, Ryan Shah:
Clicktok: Click Fraud Detection using Traffic Analysis. - Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mehdi Bennis, Mark R. Bell:
A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications. - Gautam Krishna, Co Tran, Jianguo Yu, Ahmed H. Tewfik:
Speech Recognition with no speech or with noisy speech. - Joel Z. Leibo, Edward Hughes, Marc Lanctot, Thore Graepel:
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research. - Udayan Khurana, Horst Samulowitz:
Automating Predictive Modeling Process using Reinforcement Learning. - Faseeh Ahmad, Esra Erdem, Volkan Patoglu:
A Formal Framework for Robot Construction Problems: A Hybrid Planning Approach. - Sarah H. Q. Li, Yue Yu, Daniel J. Calderone, Lillian J. Ratliff, Behçet Açikmese:
Tolling for Constraint Satisfaction in Markov Decision Process Congestion Games. - Alaa Alameer Ahmad, Hayssam Dahrouj, Anas Chaaban, Aydin Sezgin, Mohamed-Slim Alouini:
Interference Mitigation via Rate-Splitting and Common Message Decoding in Cloud Radio Access Networks. - Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama:
Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability. - Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang:
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. - (Withdrawn) Time-Delay Momentum: A Regularization Perspective on the Convergence and Generalization of Stochastic Momentum for Deep Learning.
- Kyle D. Julian, Shivam Sharma, Jean-Baptiste Jeannin, Mykel J. Kochenderfer:
Verifying Aircraft Collision Avoidance Neural Networks Through Linear Approximations of Safe Regions. - Jianrui Cai, Wangmeng Zuo, Lei Zhang:
Extreme Channel Prior Embedded Network for Dynamic Scene Deblurring. - Qiuqiang Kong, Changsong Yu, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley:
Weakly labelled AudioSet Classification with Attention Neural Networks. - Zong Peng, Beth Plale:
Reliable Access to Massive Restricted Texts: Experience-based Evaluation. - Keiller Nogueira, Jefersson A. dos Santos, Nathalia Menini, Thiago S. F. Silva, Leonor Patricia C. Morellato, Ricardo da Silva Torres:
Spatio-Temporal Vegetation Pixel Classification By Using Convolutional Networks. - Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow:
Fairness in Recommendation Ranking through Pairwise Comparisons. - Shehryar Khattak, Christos Papachristos, Kostas Alexis:
Marker based Thermal-Inertial Localization for Aerial Robots in Obscurant Filled Environments. - Joseph Suarez, Yilun Du, Phillip Isola, Igor Mordatch:
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents. - Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan:
AIRD: Adversarial Learning Framework for Image Repurposing Detection. - Nam Vo, Lu Jiang, James Hays:
Let's Transfer Transformations of Shared Semantic Representations. - Chunlei Liu:
Proof of Mining in Blockchain Systems. - Shehryar Khattak, Christos Papachristos, Kostas Alexis:
Keyframe-based Direct Thermal-Inertial Odometry. - Aviral Kumar, Sunita Sarawagi:
Calibration of Encoder Decoder Models for Neural Machine Translation. - Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan:
3D Hand Shape and Pose Estimation from a Single RGB Image. - Brian Stumph, Miguel Hernandez Virto, Henry Medeiros, Amy Tabb, Scott Wolford, Kevin Rice, Tracy Leskey:
Detecting Invasive Insects with Unmanned Aerial Vehicles. - Nino Arsov, Martin Pavlovski, Ljupco Kocarev:
Stability of decision trees and logistic regression. - Md Jahidul Islam, Jiawei Mo, Junaed Sattar:
Robot-to-Robot Relative Pose Estimation using Humans as Markers. - Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu:
End-to-end Driving Deploying through Uncertainty-Aware Imitation Learning and Stochastic Visual Domain Adaptation. - Zhizheng Zhang, Jiale Chen, Zhibo Chen, Weiping Li:
Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments. - Vinayak Athavale, Aayush Naik, Rajas Vanjape, Manish Shrivastava:
Predicting Algorithm Classes for Programming Word Problems. - Sourav Mukherjee:
How IT allows E-Participation in Policy-Making Process. - Hao Li, Jun Li, Xiaozhu Lin, Xiaohua Qian:
Pancreas Segmentation via Spatial Context based U-net and Bidirectional LSTM. - Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi:
Image Super-Resolution by Neural Texture Transfer. - Yingkai Li, Pinyan Lu, Haoran Ye:
Revenue Maximization with Imprecise Distribution. - Xihui Liu, Zihao Wang, Jing Shao, Xiaogang Wang, Hongsheng Li:
Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing. - Amir Zadeh, Yao Chong Lim, Paul Pu Liang, Louis-Philippe Morency:
Variational Auto-Decoder. - Novak Boskov, Mihailo Isakov, Michel A. Kinsy:
CodeTrolley: Hardware-Assisted Control Flow Obfuscation. - Xiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang:
Multiple Learning for Regression in big data. - Samundra Deep, Xi Zheng, Len Hamey:
A survey of security and privacy issues in the Internet of Things from the layered context. - Wenchao Ding, Shaojie Shen:
Online Vehicle Trajectory Prediction using Policy Anticipation Network and Optimization-based Context Reasoning. - Wenchao Ding, Jing Chen, Shaojie Shen:
Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network. - Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao:
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network. - Gongjie Zhang, Shijian Lu, Wei Zhang:
CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery. - Masashi Anzawa, Sosuke Amano, Yoko Yamakata, Keiko Motonaga, Akiko Kamei, Kiyoharu Aizawa:
Recognition of Multiple Food Items in a Single Photo for Use in a Buffet-Style Restaurant. - Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram, Kristen Grauman:
Less is More: Learning Highlight Detection from Video Duration. - Soumajyoti Sarkar, Ruocheng Guo, Paulo Shakarian:
Using network motifs to characterize temporal network evolution leading to diffusion inhibition. - Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot:
Face Image Reflection Removal. - Michael Elkin, Shaked Matar:
Near-Additive Spanners In Low Polynomial Deterministic CONGEST Time. - Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun:
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution. - Karen López-Linares, Inmaculada García, Ainhoa García-Familiar, Iván Macía, Miguel Ángel González Ballester:
3D convolutional neural network for abdominal aortic aneurysm segmentation. - Yasir Hussain, Zhiqiu Huang, Senzhang Wang, Yu Zhou:
CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling. - Yu Zhou, Yanqi Su, Taolue Chen, Zhiqiu Huang, Harald C. Gall, Sebastiano Panichella:
User Review-Based Change File Localization for Mobile Applications. - Long Zeng, Zhi-Kai Dong, Yi-Fan Xu:
Robust corner and tangent point detection for strokes with deep learning approach. - Jiang Rong, Tao Qin, Bo An:
Competitive Bridge Bidding with Deep Neural Networks. - Wendong Wang, Jianjun Wang:
Deterministic Analysis of Weighted BPDN With Partially Known Support Information. - Xuhong Wang, Ying Du, Shijie Lin, Ping Cui, Yupu Yang:
Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection. - Anirudha Vishvakarma:
MILDNet: A Lightweight Single Scaled Deep Ranking Architecture. - Bokang Zhu, Richong Zhang, Dingkun Long, Yongyi Mao:
Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks. - Dingfu Zhou, Yuchao Dai, Hongdong Li:
Ground Plane based Absolute Scale Estimation for Monocular Visual Odometry. - Lu Sheng, Junting Pan, Jiaming Guo, Jing Shao, Xiaogang Wang, Chen Change Loy:
Unsupervised Bi-directional Flow-based Video Generation from one Snapshot. - Bing Yu, Mengzhang Li, Jiyong Zhang, Zhanxing Zhu:
3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting. - Benedikt Ahrens, André Hirschowitz, Ambroise Lafont, Marco Maggesi:
Modular specification of monads through higher-order presentations. - Jun Li, Xiaozhu Lin, Hui Che, Hao Li, Xiaohua Qian:
Probability Map Guided Bi-directional Recurrent UNet for Pancreas Segmentation. - Jasmine Collins, Johannes Ballé, Jonathon Shlens:
Accelerating Training of Deep Neural Networks with a Standardization Loss. - Andrej Kitanov, Vadim Indelman:
Topological Information-Theoretic Belief Space Planning with Optimality Guarantees. - Bai Li, Yi-Te Hsu, Frank Rudzicz:
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus. - Suleiman Adamu, Jamilu Awwalu:
The Role of Artificial Intelligence (AI) in Adaptive eLearning System (AES) Content Formation: Risks and Opportunities involved. - Yang Liu, Kai Sun:
Solving Power System Differential Algebraic Equations Using Differential Transformation. - Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy:
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies. - Rajalekshmi Kishore, Sanjeev Gurugopinath, Sami Muhaidat, Paschalis C. Sofotasios, Mehrdad Dianati, Naofal Al-Dhahir:
Energy Efficiency Analysis of Collaborative Compressive Sensing Scheme in Cognitive Radio Networks. - Junhong Xu, Kai Yin, Lantao Liu:
State-Continuity Approximation of Markov Decision Processes via Finite Element Analysis for Autonomous System Planning. - Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause:
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. - Babak Alipour, Leonardo Tonetto, Roozbeh Ketabi, Aaron Yi Ding, Jörg Ott, Ahmed Helmy:
Practical Prediction of Human Movements Across Device Types and Spatiotemporal Granularities. - Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe:
Decision-Focused Learning of Adversary Behavior in Security Games. - Naveen Madapana, Md. Masudur Rahman, Natalia Sanchez-Tamayo, Mythra V. Balakuntala, Glebys T. Gonzalez, Jyothsna Padmakumar Bindu, L. N. Vishnunandan Venkatesh, Xingguang Zhang, Juan Barragan Noguera, Thomas Low, Richard M. Voyles, Yexiang Xue, Juan P. Wachs:
DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots. - Cunjian Chen, Arun Ross:
Matching Thermal to Visible Face Images Using a Semantic-Guided Generative Adversarial Network. - Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick:
Group-Fairness in Influence Maximization. - Soheil Salehi, Ramtin Zand, Alireza Zaeemzadeh, Nazanin Rahnavard, Ronald F. DeMara:
AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Sparse Signals. - Soheil Salehi, Ramtin Zand, Ronald F. DeMara:
Clockless Spin-based Look-Up Tables with Wide Read Margin. - Aaron Weiss, Daniel Patterson, Nicholas D. Matsakis, Amal Ahmed:
Oxide: The Essence of Rust. - Rahul Shome, Wei N. Tang, Changkyu Song, Chaitanya Mitash, Hristiyan Kourtev, Jingjin Yu, Abdeslam Boularias, Kostas E. Bekris:
Towards Robust Product Packing with a Minimalistic End-Effector. - Andrea Nicastro, Ronald Clark, Stefan Leutenegger:
X-Section: Cross-section Prediction for Enhanced RGBD Fusion. - Rahul Shome, Kiril Solovey, Andrew Dobson, Dan Halperin, Kostas E. Bekris:
dRRT*: Scalable and Informed Asymptotically-Optimal Multi-Robot Motion Planning. - Yi Li, Vasileios Nakos:
Deterministic Sparse Fourier Transform with an ell_infty Guarantee. - Waqar Ali, Heechul Yun:
RT-Gang: Real-Time Gang Scheduling Framework for Safety-Critical Systems. - Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen:
Self-Supervised Learning of Face Representations for Video Face Clustering. - Ni Ding, Parastoo Sadeghi, Thierry Rakotoarivelo:
Improving Computational Efficiency of Communication for Omniscience and Successive Omniscience. - Ismail Akrout, Amal Feriani, Mohamed Akrout:
Hacking Google reCAPTCHA v3 using Reinforcement Learning. - Nicolas Carrara, Edouard Leurent, Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, Olivier Pietquin:
Scaling up budgeted reinforcement learning. - (Withdrawn) Pushing the Boundaries of Asymptotic Optimality for Sampling-based Roadmaps In Motion And Task Planning.
- Bardia Doosti:
Hand Pose Estimation: A Survey. - Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh:
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. - Michael K. Cohen, Elliot Catt, Marcus Hutter:
Strong Asymptotic Optimality in General Environments. - Hossein Aboutalebi, Doina Precup, Tibor Schuster:
Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials. - Hee-Seung Moon, Jiwon Seo:
Prediction of Human Trajectory Following a Haptic Robotic Guide Using Recurrent Neural Networks. - Sadegh Rabiee, Joydeep Biswas:
iVOA: Introspective Vision for Obstacle Avoidance. - Poojan Oza, Vishal M. Patel:
Active Authentication using an Autoencoder regularized CNN-based One-Class Classifier. - Abed AlRahman Al Makdah, Vaibhav Katewa, Fabio Pasqualetti:
A Fundamental Performance Limitation for Adversarial Classification. - Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu:
Spatiotemporal Pyramid Network for Video Action Recognition. - Kalyan KS, S. Sangeetha:
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing. - Sanghamitra Dutta, Ziqian Bai, Tze Meng Low, Pulkit Grover:
CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors. - Baoyang Song, Hasan Poonawala, Laura Wynter, Sebastien Blandin:
Robust commuter movement inference from connected mobile devices. - Yusuke Kobayashi:
An FPT Algorithm for Minimum Additive Spanner Problem. - Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh:
Ultra-Scalable Spectral Clustering and Ensemble Clustering. - Zhi Gang Liu, Matthew Mattina:
Learning low-precision neural networks without Straight-Through Estimator(STE). - Javier del Valle, Pavel Salev, Yoav Kalcheim, Ivan K. Schuller:
A caloritronics-based Mott neuristor. - Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Jie Tan, Chelsea Finn:
NoRML: No-Reward Meta Learning. - Sindri Magnússon, Guannan Qu, Na Li:
Distributed Voltage Control with Communication Delays. - Jianlan Luo, Eugen Solowjow, Chengtao Wen, Juan Aparicio Ojea, Alice M. Agogino, Aviv Tamar, Pieter Abbeel:
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly. - Antoni Rosinol, Torsten Sattler, Marc Pollefeys, Luca Carlone:
Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities. - Been Kim, Emily Reif, Martin Wattenberg, Samy Bengio:
Do Neural Networks Show Gestalt Phenomena? An Exploration of the Law of Closure. - Jia Huei Tan, Chee Seng Chan, Joon Huang Chuah:
COMIC: Towards A Compact Image Captioning Model with Attention. - Heman Shakeri, Ali Tavasoli, Ehsan Ardjmand, Pietro Poggi-Corradini:
Designing Optimal Multiplex Networks for Certain Laplacian Spectral Properties. - Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song:
Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize. - Ruixue Liu, Baoyang Chen, Xiaoyu Guo, Yan Dai, Meng Chen, Zhijie Qiu, Xiaodong He:
From Knowledge Map to Mind Map: Artificial Imagination. - Yankan Song, Ying Chen, Zhitong Yu, Shaowei Huang, Chen Shen:
CloudPSS: A High-Performance Power System Simulator Based on Cloud Computing. - Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung:
Stochastic Online Learning with Probabilistic Graph Feedback. - Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark A. Anastasio, Hua Li:
Automatic microscopic cell counting by use of deeply-supervised density regression model. - Arghya Pal, Vineeth N. Balasubramanian:
Zero-Shot Task Transfer. - David Sprunger, Shin-ya Katsumata:
Differentiable Causal Computations via Delayed Trace. - Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez, Rajkumar Buyya:
Resource-sharing Policy in Multi-tenant Scientific Workflow as a Service Platform. - Neri Merhav:
Error Exponents of Typical Random Trellis Codes. - Corentin J. Lapeyre, Nicolas Cazard, Pamphile T. Roy, Sophie Ricci, Fabrice Zaoui:
Reconstruction of Hydraulic Data by Machine Learning. - Qiao Li, David Wenzhong Gao, Lin Cheng, Fang Zhang, Weihang Yan:
Fully Distributed DC Optimal Power Flow Based on Distributed Economic Dispatch and Distributed State Estimation. - Wenchao Ding, Wenliang Gao, Kaixuan Wang, Shaojie Shen:
Trajectory Replanning for Quadrotors Using Kinodynamic Search and Elastic Optimization. - Derong Xie, Jinquan Luo:
Asymmetric Single Magnitude Four Error Correcting Codes. - Diego Aineto, Sergio Jiménez, Eva Onaindia:
Learning STRIPS Action Models with Classical Planning. - Hang Zhang, Xiaoying Zheng, Ye Xia, Mingqi Li:
Workflow Scheduling in the Cloud with Weighted Upward-rank Priority Scheme Using Random Walk and Uniform Spare Budget Splitting. - Nameer Al Khafaf, Mahdi Jalili, Peter Sokolowski:
Optimal Clustering of Energy Consumers based on Entropy of the Correlation Matrix between Clusters. - Gabriel Istrate, Cosmin Bonchis, Alin Brîndusescu:
Attacking Power Indices by Manipulating Player Reliability. - Prayag Tiwari, Massimo Melucci:
Binary Classifier Inspired by Quantum Theory. - Gaku Narita, Takashi Seno, Tomoya Ishikawa, Yohsuke Kaji:
PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things. - Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti:
Evolving Spiking Neural Networks for Nonlinear Control Problems. - Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Complement Objective Training. - Jacopo Castellini:
Krylov Iterative Methods for the Geometric Mean of Two Matrices Times a Vector. - Bernadette Spieler, Libora Oates-Indruchová, Wolfgang Slany:
Female Teenagers in Computer Science Education: Understanding Stereotypes, Negative Impacts, and Positive Motivation. - Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh, Umapada Pal:
STEFANN: Scene Text Editor using Font Adaptive Neural Network. - Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu:
Collaborative Spatio-temporal Feature Learning for Video Action Recognition. - July X. Li, Pascal O. Vontobel:
Pseudocodeword-based Decoding of Quantum Stabilizer Codes. - Hoda Heidari, Vedant Nanda, Krishna P. Gummadi:
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning. - James Lewis, Benedikte Rorstad:
Immersive VR as a Tool to Enhance Relaxation for Undergraduate Students with the Aim of Reducing Anxiety - A Pilot Study. - Jing Wang, Kuangen Zhang:
Unsupervised Domain Adaptation Learning Algorithm for RGB-D Staircase Recognition. - Wei-Wen Hsu, Chung-Hao Chen, Chang Hoa, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Jingjing Wang, Tao He, Yanghong Tai:
Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer. - Mien Brabeeba Wang, Nancy A. Lynch:
Integrating Temporal Information to Spatial Information in a Neural Circuit. - Samir Benbelkacem, Abdelkader Bellarbi, Nadia Zenati-Henda, Ahmed Bentaleb, Ahmed Nazim Bellabaci, Samir Otmane:
Low-cost VR Collaborative System equipped with Haptic Feedback. - Nikita Johnson, Tim Kelly:
An Assurance Framework for Independent Co-assurance of Safety and Security. - Kamran Ali, Xiaoling Xia:
A Reliabel and an efficient web testing system. - M. Hanefi Calp, Utku Kose:
Planning Activities in Software Testing Process: A Literature Review and Suggestions for Future Research. - (Withdrawn) Outage-Limit-Approaching Protograph LDPC Codes for Slow-Fading Wireless Communications.
- Abbas Emami-Naeini, Dick de Roover:
Bode's Sensitivity Integral Constraints: The Waterbed Effect in Discrete Time. - (Withdrawn) An Analysis of Pedestrians' Behavior in Emergency Evacuation Using Cellular Automata Simulation.
- Anupam Shome, Amit Kumar Dutta, Saswat Chakrabarti, Priyadip Ray:
Performance Analysis of Energy Harvesting Underlay Cooperative Cognitive Radio Relay Networks with Randomly Located Nodes. - Kenji Maillard, Danel Ahman, Robert Atkey, Guido Martínez, Catalin Hritcu, Exequiel Rivas, Éric Tanter:
Dijkstra Monads for All. - Aran Sena, Brendan Michael, Matthew Howard:
Improving Task-Parameterised Movement Learning Generalisation with Frame-Weighted Trajectory Generation. - Oliver Scheel, Naveen Shankar Nagaraja, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Attention-based Lane Change Prediction. - Wenhui Cui, Yanlin Liu, Yuxing Li, Menghao Guo, Yiming Li, Xiuli Li, Tianle Wang, Xiangzhu Zeng, Chuyang Ye:
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model. - Felix G. Hamza-Lup, Adrian Seitan, Dorin M. Popovici, Crenguta M. Bogdan:
Liver Pathology Simulation: Algorithm for Haptic Rendering and Force Maps for Palpation Assessment. - Frederik Diehl, Thomas Brunner, Michael Truong-Le, Alois C. Knoll:
Graph Neural Networks for Modelling Traffic Participant Interaction. - Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Cristofer Englund, Sankar Raman Sathyamoorthy, Stig Ursing:
Towards Structured Evaluation of Deep Neural Network Supervisors. - Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
Using Causal Analysis to Learn Specifications from Task Demonstrations. - Gerhard Wohlgenannt, Nikolay Klimov, Dmitry Mouromtsev, Daniil S. Razdyakonov, Dmitry S. Pavlov, Yury Emelyanov:
Using Word Embeddings for Visual Data Exploration with Ontodia and Wikidata. - Gerhard Wohlgenannt, Ekaterina Chernyak, Dmitry I. Ilvovsky, Ariadna Barinova, Dmitry Mouromtsev:
Relation Extraction Datasets in the Digital Humanities Domain and their Evaluation with Word Embeddings. - Thomas Drugman, Goeric Huybrechts, Viacheslav Klimkov, Alexis Moinet:
Traditional Machine Learning for Pitch Detection. - Fedor V. Fomin, Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Meirav Zehavi:
Decomposition of Map Graphs with Applications. - Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Denis Teplyashin, Karl Moritz Hermann, Mateusz Malinowski, Matthew Koichi Grimes, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell:
The StreetLearn Environment and Dataset. - Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan, Alyson K. Fletcher:
Asymptotics of MAP Inference in Deep Networks. - Ting Gan, Bican Xia, Bai Xue, Naijun Zhan:
Nonlinear Craig Interpolant Generation. - Elvin Isufi, Fernando Gama, Alejandro Ribeiro:
Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs. - Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang, Huajun Chen:
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks. - Michael Garrett Bechtel, Heechul Yun:
Denial-of-Service Attacks on Shared Cache in Multicore: Analysis and Prevention. - Fantin Girard, Conrad Kavalec, Farida Cheriet:
Joint segmentation and classification of retinal arteries/veins from fundus images. - Michalis Xenos, Vasiliki Velli:
A Serious Game for Introducing Software Engineering Ethics to University Students. - Bolei Wang, Mengnan Jian, Feifei Gao, Geoffrey Ye Li, Shi Jin, Hai Lin:
Beam Squint and Channel Estimation for Wideband mmWave Massive MIMO-OFDM Systems. - Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Using stigmergy as a computational memory in the design of recurrent neural networks. - Zhou Fan, Rui Su, Weinan Zhang, Yong Yu:
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. - Michalis Xenos, Maria Rigou:
Teaching HCI Design in a Flipped Learning M.Sc. Course Using Eye-Tracking Peer Evaluation Data. - Nikolay Sergievskiy, Alexander Ponamarev:
Reduced Focal Loss: 1st Place Solution to xView object detection in Satellite Imagery. - Rachel Schlossman, Minkyu Kim, Ufuk Topcu, Luis Sentis:
Toward Achieving Formal Guarantees for Human-Aware Controllers in Human-Robot Interactions. - Vincent Berenz, Ahmed Bjelic, Jim Mainprice:
Automated Generation of Reactive Programs from Human Demonstration for Orchestration of Robot Behaviors. - Andrea Tassi, Ioannis Mavromatis, Robert J. Piechocki, Andrew R. Nix:
Secure Data Offloading Strategy for Connected and Autonomous Vehicles. - Xi Liang, Aaron J. Elmore, Sanjay Krishnan:
Opportunistic View Materialization with Deep Reinforcement Learning. - Giulio Bacchiani, Daniele Molinari, Marco Patander:
Microscopic Traffic Simulation by Cooperative Multi-agent Deep Reinforcement Learning. - Dror Fried, Axel Legay, Joël Ouaknine, Moshe Y. Vardi:
Sequential Relational Decomposition. - Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix:
Efficient Millimeter-Wave Infrastructure Placement for City-Scale ITS. - Shayegan Omidshafiei, Christos H. Papadimitriou, Georgios Piliouras, Karl Tuyls, Mark Rowland, Jean-Baptiste Lespiau, Wojciech M. Czarnecki, Marc Lanctot, Julien Pérolat, Rémi Munos:
α-Rank: Multi-Agent Evaluation by Evolution. - Andrea Tassi, Ioannis Mavromatis, Robert J. Piechocki, Andrew R. Nix, Christian Compton, Tracey Poole, Wolfgang Schuster:
Agile Data Offloading over Novel Fog Computing Infrastructure for CAVs. - Minne Li, Pranav Nashikkar, Jun Wang:
Optimizing Object-based Perception and Control by Free-Energy Principle. - Gaurav Menghani, Dhruv Mátáni:
A Simple Solution to the Level-Ancestor Problem. - Wenhao Yu, Visak C. V. Kumar, Greg Turk, C. Karen Liu:
Sim-to-Real Transfer for Biped Locomotion. - Sherif Abdulatif, Karim Armanious, Fady Aziz, Urs Schneider, Bin Yang:
An Adversarial Super-Resolution Remedy for Radar Design Trade-offs. - Yoan Chabot, Aurélie Bertaux, Christophe Nicolle, M. Tahar Kechadi:
A complete formalized knowledge representation model for advanced digital forensics timeline analysis. - Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus:
Towards A Methodology and Framework for Workflow-Driven Team Science. - Panagiotis Papadopoulos, Peter Snyder, Benjamin Livshits:
Another Brick in the Paywall: The Popularity and Privacy Implications of Paywalls. - Mihael Arcan, John P. McCrae, Paul Buitelaar:
Polylingual Wordnet. - Alice Cohen-Hadria, Axel Roebel, Geoffroy Peeters:
Improving singing voice separation using Deep U-Net and Wave-U-Net with data augmentation. - Céline Jacques, Axel Roebel:
Data Augmentation for Drum Transcription with Convolutional Neural Networks. - Haitao Wang:
A Divide-and-Conquer Algorithm for Two-Point L1 Shortest Path Queries in Polygonal Domains. - Hui-Ming Wang, Qian Yang, Zhiguo Ding, H. Vincent Poor:
Secure Short-Packet Communications for Mission-Critical IoT Applications. - Manoj Kumar, Mohammad Babaeizadeh, Dumitru Erhan, Chelsea Finn, Sergey Levine, Laurent Dinh, Durk Kingma:
VideoFlow: A Flow-Based Generative Model for Video. - Quanyan Zhu:
Game Theory for Cyber Deception: A Tutorial. - Brijnesh J. Jain:
Making the Dynamic Time Warping Distance Warping-Invariant. - Borko Boskovic, Janez Brest:
Two-level protein folding optimization on a three-dimensional AB off-lattice model. - Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Hedging the Drift: Learning to Optimize under Non-Stationarity. - Nguyen Binh Truong, Gyu Myoung Lee, Tai-Won Um, Michael Mackay:
Trust Evaluation Mechanism for User Recruitment in Mobile Crowd-Sensing in the Internet of Things. - Lavinia Egidi, Giovanni Manzini:
Lightweight merging of compressed indices based on BWT variants. - Stefano Pini, Marcella Cornia, Federico Bolelli, Lorenzo Baraldi, Rita Cucchiara:
M-VAD Names: a Dataset for Video Captioning with Naming. - Sara Evensen, Aaron Feng, Alon Y. Halevy, Jinfeng Li, Vivian Li, Yuliang Li, Huining Liu, George A. Mihaila, John Morales, Natalie Nuno, Ekaterina Pavlovic, Wang-Chiew Tan, Xiaolan Wang:
Voyageur: An Experiential Travel Search Engine. - Wentao Huang, Kechen Zhang:
Approximations of Shannon Mutual Information for Discrete Variables with Applications to Neural Population Coding. - Zheng Chen, Lantao Liu:
Creating Navigable Space from Sparse Noisy Map Points. - Ghaith Hattab, Danijela Cabric:
Unlicensed Spectrum Sharing for Massive Internet-of-Things Communications. - Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Fine-grained lesion annotation in CT images with knowledge mined from radiology reports. - Mohammed E. Fouda, Ahmed M. Eltawil, Fadi J. Kurdahi:
On Resistive Memories: One Step Row Readout Technique and Sensing Circuitry. - Waleed Iqbal, Junaid Qadir, Gareth Tyson, Adnan Noor Mian, Saeed-Ul Hassan, Jon Crowcroft:
A Bibliometric Analysis of Publications in Computer Networking Research. - Yue Zhang, Scott Eisele, Abhishek Dubey, Aron Laszka, Anurag K. Srivastava:
Cyber-Physical Simulation Platform for Security Assessment of Transactive Energy Systems. - Partha Maji, Andrew Mundy, Ganesh Dasika, Jesse G. Beu, Matthew Mattina, Robert D. Mullins:
Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs. - Mohammad Farhadi, Yezhou Yang:
TKD: Temporal Knowledge Distillation for Active Perception. - Sébastien de Blois, Ihsen Hedhli, Christian Gagné:
Learning of Image Dehazing Models for Segmentation Tasks. - Dibakar Gope, Ganesh Dasika, Matthew Mattina:
Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications. - Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni:
Selective Sensor Fusion for Neural Visual-Inertial Odometry. - Navyata Sanghvi, Ryo Yonetani, Kris M. Kitani:
Modeling Social Group Communication with Multi-Agent Imitation Learning. - Blair D. Sullivan, Andrew van der Poel, Trey Woodlief:
Faster Biclique Mining in Near-Bipartite Graphs. - Atrisha Sarkar, Krzysztof Czarnecki:
A behavior driven approach for sampling rare event situations for autonomous vehicles. - Kaveh Bakhsh Kelarestaghi, Mahsa Foruhandeh, Kevin P. Heaslip, Ryan M. Gerdes:
Survey on Vehicular Ad Hoc Networks and Its Access Technologies Security Vulnerabilities and Countermeasures. - Svebor Karaman, Xudong Lin, Xuefeng Hu, Shih-Fu Chang:
Unsupervised Rank-Preserving Hashing for Large-Scale Image Retrieval. - Sangeun Oh, Yongsu Jung, Seongsin Kim, Ikjin Lee, Namwoo Kang:
Generative Design Exploration by Integrating Deep Generative Models and Topology Optimization. - Mostafa Rezazad, Matthias R. Brust, Mohammad Akbari, Pascal Bouvry, Ngai-Man Cheung:
Detecting Target-Area Link-Flooding DDoS Attacks using Traffic Analysis and Supervised Learning. - Boyang Zhang:
An Explorative Study of GitHub Repositories of AI Papers. - Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer:
Model Primitive Hierarchical Lifelong Reinforcement Learning. - Abhishek Patil, Srikanth Malla, Haiming Gang, Yi-Ting Chen:
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes. - Andrew J. Taylor, Victor D. Dorobantu, Hoang Minh Le, Yisong Yue, Aaron D. Ames:
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems. - Prithviraj Dhar, Carlos Domingo Castillo, Rama Chellappa:
On measuring the iconicity of a face. - Genya Ishigaki, Riti Gour, Jason P. Jue:
Improving the Survivability of Clustered Interdependent Networks by Restructuring Dependencies. - Michael Danielczuk, Andrey Kurenkov, Ashwin Balakrishna, Matthew Matl, David Wang, Roberto Martín-Martín, Animesh Garg, Silvio Savarese, Ken Goldberg:
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter. - Bruno França, Marvin Wissfeld, Pascal Berrang, Philipp von Styp-Rekowsky, Reto Trinkler:
Albatross: An optimistic consensus algorithm. - Bruno França:
Enso: A general-purpose virtual machine. - Boyu Lu, Jun-Cheng Chen, Rama Chellappa:
Unsupervised Domain-Specific Deblurring via Disentangled Representations. - Bruno França, Sophie Radermacher, Reto Trinkler:
Katallassos: A standard framework for finance. - Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira:
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation. - Haojun Yang, Kan Zheng, Long Zhao, Lajos Hanzo:
Twin-Timescale Radio Resource Management for Ultra-Reliable and Low-Latency Vehicular Networks. - Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu:
The Vulnerabilities of Graph Convolutional Networks: Stronger Attacks and Defensive Techniques. - Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael Carbin:
The Lottery Ticket Hypothesis at Scale. - Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan:
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search. - Hannan Bin Liaqat, Amjad Ali, Junaid Qadir, Ali Kashif Bashir, Muhammad Bilal, Fiaz Majeed:
Socially-Aware Congestion Control in Ad-Hoc Networks: Current Status and The Way Forward. - Hyun-Jae Kang, Jae-wook Jang, Aziz Mohaisen, Huy Kang Kim:
Detecting and Classifying Android Malware using Static Analysis along with Creator Information. - Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck:
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. - Srikanth Srinivasan:
Strongly Exponential Separation Between Monotone VP and Monotone VNP. - Weiwei Wan, Kensuke Harada, Fumio Kanehiro:
Planning Grasps for Assembly Tasks. - Logan E. Beaver, Behdad Chalaki, A. M. Ishtiaque Mahbub, Liuhui Zhao, Ray Zayas, Andreas A. Malikopoulos:
Demonstration of a Time-Efficient Mobility System Using a Scaled Smart City. - Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang, Advait Madhavan, Gina C. Adam, Nikolai Zhitenev, Jabez J. McClelland, Mark D. Stiles:
Streaming Batch Eigenupdates for Hardware Neuromorphic Networks. - Zheng Dong, He Chen, Jian-Kang Zhang, Branka Vucetic:
Noncoherent Multiuser Massive SIMO for Low-Latency Industrial IoT Communications. - Tianyi Li, Mai Xu, Ren Yang, Xiaoming Tao:
A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC. - He Chen, Zheng Dong, Branka Vucetic:
Noncoherent and Non-orthogonal Massive SIMO for Critical Industrial IoT Communications. - Shehryar Khattak, Christos Papachristos, Kostas Alexis:
Visual-Thermal Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments. - Shehryar Khattak, Christos Papachristos, Kostas Alexis:
Vision-Depth Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments. - Bikash Gogoi, Unnikrishnan Cheramangalath, Rupesh Nasre:
Custom Code Generation for a Graph DSL. - Xuezhou Zhang, Xiaojin Zhu:
Online Data Poisoning Attack. - Sai Krishna, Keehong Seo, Dhaivat Bhatt, Vincent Mai, J. Krishna Murthy, Liam Paull:
Deep Active Localization. - Hideki Tamura, Konrad E. Prokott, Roland W. Fleming:
Distinguishing mirror from glass: A 'big data' approach to material perception. - Biwei Huang, Kun Zhang, Jiji Zhang, Joseph D. Ramsey, Ruben Sanchez-Romero, Clark Glymour, Bernhard Schölkopf:
Causal Discovery from Heterogeneous/Nonstationary Data. - Ruimin Ke, Wan Li, Zhiyong Cui, Yinhai Wang:
Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact. - Zhiqiang Wei, Lei Yang, Derrick Wing Kwan Ng, Jinhong Yuan, Lajos Hanzo:
On the Performance Gain of NOMA over OMA in Uplink Communication Systems. - Rodolfo Migon Favaretto, Leandro Dihl, Soraia Raupp Musse, Felipe Vilanova, Angelo Brandelli Costa:
Using Big Five Personality Model to Detect Cultural Aspects in Crowds. - Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary C. Lipton:
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment. - Hamidreza Alvari, Elham Shaabani, Soumajyoti Sarkar, Ghazaleh Beigi, Paulo Shakarian:
Less is More: Semi-Supervised Causal Inference for Detecting Pathogenic Users in Social Media. - Hao Jiang, Quanzeng You:
Real-time Multiple People Hand Localization in 4D Point Clouds. - Yuxiao Ye, Yue Zhang, Weikang Li, Likun Qiu, Jian Sun:
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings. - David P. Anderson:
BOINC: A Platform for Volunteer Computing. - Xiao Song, Xu Zhao, Liangji Fang, Hanwen Hu:
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection. - Hiroshi Hayano, Masanori Takano, Soichiro Morishita, Mitsuo Yoshida, Kyoji Umemura:
Analysis of the Influence of Internet TV Station on Wikipedia Page Views. - Yang Li, Kevin B. Korb, Lloyd Allison:
The Complexity of Morality: Checking Markov Blanket Consistency with DAGs via Morality. - Elodie Chanthery, Louise Travé-Massuyès, Yannick Pencolé, Régis De Ferluc, Brice Dellandréa:
Applying Active Diagnosis to Space Systems by On-Board Control Procedures. - Jehyuk Jang, Heung-No Lee:
Profitable Double-Spending Attacks. - Zhengwei Bai, Baigen Cai, Wei ShangGuan, Linguo Chai:
Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network. - Ismaïla Seck, Gaëlle Loosli, Stéphane Canu:
L 1-norm double backpropagation adversarial defense. - Wei Jiang, Na Ying:
Improve Object Detection by Data Enhancement based on Generative Adversarial Nets. - James P. Bailey, Georgios Piliouras:
Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System. - Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, Kai Shu:
Mining Dual Emotion for Fake News Detection. - Rémi Domingues:
Probabilistic Modeling for Novelty Detection with Applications to Fraud Identification. - Jiaqiyu Zhan, Zhiqiang Bai, Yuesheng Zhu:
A Novel Efficient Approach with Data-Adaptive Capability for OMP-based Sparse Subspace Clustering. - Quoc-Tin Phan, Michele Vascotto, Giulia Boato:
Hue Modification Localization By Pair Matching. - Markus Borg, Oscar Svensson, Kristian Berg, Daniel Hansson:
SZZ Unleashed: An Open Implementation of the SZZ Algorithm - Featuring Example Usage in a Study of Just-in-Time Bug Prediction for the Jenkins Project. - (Withdrawn) DeepStego: Protecting Intellectual Property of Deep Neural Networks by Steganography.
- Kyatsandra G. Nagananda, Pramod P. Khargonekar:
Reduced-rank Analysis of the Total Least Squares. - Ziyu Liu, Meng Zhou, Weiqing Cao, Qiang Qu, Henry Wing Fung Yeung, Vera Yuk Ying Chung:
Towards Understanding Chinese Checkers with Heuristics, Monte Carlo Tree Search, and Deep Reinforcement Learning. - Sanjiang Li, Yongming Li:
Semi-dynamic shortest-path tree algorithms for directed graphs with arbitrary weights. - Pietro Danzi, Anders E. Kalør, René B. Sørensen, Alexander K. Hagelskjær, Lam Duc Nguyen, Cedomir Stefanovic, Petar Popovski:
Communication Aspects of the Integration of Wireless IoT Devices with Distributed Ledger Technology. - Hamdi Joudeh, Bruno Clerckx:
DoF Region of the MISO BC with Partial CSIT: Proof by Inductive Fourier-Motzkin Elimination. - Huiru Gao, Haifeng Nie, Ke Li:
Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons. - Jie Zhang, Myoungsoo Jung, Mahmut Taylan Kandemir:
FUSE: Fusing STT-MRAM into GPUs to Alleviate Off-Chip Memory Access Overheads. - Taha Hassan, D. Scott McCrickard:
Trust and Trustworthiness in Social Recommender Systems. - Silvio Giancola, Jesus Zarzar, Bernard Ghanem:
Leveraging Shape Completion for 3D Siamese Tracking. - Miltiades C. Filippou, Dario Sabella, Vincenzo Riccobene:
Flexible MEC service consumption through edge host zoning in 5G networks. - Boules A. Mouris, Hadi G. Ghauch, Ragnar Thobaben, B. Lars G. Jonsson:
Multi-tone Signal Optimization for Wireless Power Transfer in the Presence of Wireless Communication Links. - Esther Galby, Paloma T. Lima, Bernard Ries:
Reducing the domination number of graphs via edge contractions. - Federico Boniardi, Abhinav Valada, Rohit Mohan, Tim Caselitz, Wolfram Burgard:
Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network. - Esther Galby, Andrea Munaro, Bernard Ries:
CPG graphs: Some structural and hardness results. - Alexandr Katrutsa, Ivan V. Oseledets:
Preconditioning Kaczmarz method by sketching. - Hugo Lhachemi, Ammar Malik, Robert Shorten:
Augmented Reality, Cyber-Physical Systems, and Feedback Control for Additive Manufacturing: A Review. - Constantin Steppa, Tim Lukas Holch:
HexagDLy - Processing hexagonally sampled data with CNNs in PyTorch. - Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
Learning to Branch: Accelerating Resource Allocation in Wireless Networks. - Simon R. Lang, Martin H. Luerssen, David M. W. Powers:
Virtual Ground Truth, and Pre-selection of 3D Interest Points for Improved Repeatability Evaluation of 2D Detectors. - Tommy Nilsson, Andy Crabtree, Joel E. Fischer, Boriana Koleva:
Breaching the Future: Understanding Human Challenges of Autonomous Systems for the Home. - Lam Duc Nguyen, Chong-Kwon Kim:
Towards Skewness and Balancing of RPL Trees for the Internet of Things. - Atri Bhattacharyya, Alexandra Sandulescu, Matthias Neugschwandtner, Alessandro Sorniotti, Babak Falsafi, Mathias Payer, Anil Kurmus:
SMoTherSpectre: exploiting speculative execution through port contention. - Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai:
TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning. - Yanxiang Jiang, Xiaoting Cui, Mehdi Bennis, Fu-Chun Zheng:
Cooperative Caching in Fog Radio Access Networks: A Graph-based Approach. - Yin Tat Lee, Swati Padmanabhan:
An Õ(m/ε3.5)-Cost Algorithm for Semidefinite Programs with Diagonal Constraints. - Cyrus Anderson, Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson:
Stochastic Sampling Simulation for Pedestrian Trajectory Prediction. - Xiaohu Ge:
Ultra-Reliable Low-Latency Communications in Autonomous Vehicular Networks. - Zhixin Wang, Kui Jia:
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection. - Maximiliano Celmo David Budán, Gerardo I. Simari, Ignacio D. Viglizzo, Guillermo Ricardo Simari:
An Approach to Characterize Graded Entailment of Arguments through a Label-based Framework. - Christoph Matthies, Johannes Huegle, Tobias Dürschmid, Ralf Teusner:
Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices. - Babak Hosseini, Barbara Hammer:
Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-series. - Maximiliano Celmo David Budán, Maria Laura Cobo, Diego C. Martínez, Guillermo Ricardo Simari:
Bipolar in Temporal Argumentation Framework. - Irene Unceta, Jordi Nin, Oriol Pujol:
Copying Machine Learning Classifiers. - Reuben Feinman, Brenden M. Lake:
Learning a smooth kernel regularizer for convolutional neural networks. - Pedro Henrique Del Bianco Hokama, Mário César San Felice, Evandro C. Bracht, Fábio Luiz Usberti:
Evolutionary framework for two-stage stochastic resource allocation problems. - Simyung Chang, John Yang, Jaeseok Choi, Nojun Kwak:
Genetic-Gated Networks for Deep Reinforcement. - Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Gated Graph Convolutional Recurrent Neural Networks. - Torgeir Dingsøyr, Emil Røyrvik, Hans Karim Djarraya:
Practical Knowledge Management Tool Use in a Software Consulting Company. - Tommi Jauhiainen, Heidi Jauhiainen, Tero Alstola, Krister Lindén:
Language and Dialect Identification of Cuneiform Texts. - Pranshu Gupta:
Algorithms Inspired by Nature: A Survey. - Zhaoyang Ai, Chaodong Fan, Yingjie Zhang, Huigui Rong, Ze'an Tian, Haibing Fu:
Boundary Evolution Algorithm for SAT-NP. - Marijn van Knippenberg, Vlado Menkovski, Sergio Consoli:
Evolutionary Construction of Convolutional Neural Networks. - Guillermo Fuertes, Manuel Vargas, Miguel D. Alfaro, Rodrigo Soto-Garrido, Jorge Sabattin, María Alejandra Peralta:
Chaotic Genetic Algorithm and The Effects of Entropy in Performance Optimization. - Antoine Barbez, Foutse Khomh, Yann-Gaël Guéhéneuc:
A Machine-learning Based Ensemble Method For Anti-patterns Detection. - Sabah Al-Fedaghi, Ali Abdullah Alkhaldi:
Thinging for Computational Thinking. - Amay Agrawal, Dixita Limbachiya, Ravikumar M., Taslimarif Saiyed, Manish K. Gupta:
BacSoft: A Tool to Archive Data on Bacteria. - (Withdrawn) FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms.
- Daniel Valenzuela, Dmitry Kosolobov, Gonzalo Navarro, Simon J. Puglisi:
Lempel-Ziv-like Parsing in Small Space. - Senthil Nathan, Chander Govindarajan, Adarsh Saraf, Manish Sethi, Praveen Jayachandran:
Blockchain Meets Database: Design and Implementation of a Blockchain Relational Database. - Edgardo Ferretti, Luciano H. Tamargo, Alejandro Javier García, Marcelo Luis Errecalde, Guillermo Ricardo Simari:
An approach to Decision Making based on Dynamic Argumentation Systems. - Anwen Liao, Zhen Gao, Hua Wang, Sheng Chen, Mohamed-Slim Alouini, Hao Yin:
Closed-Loop Sparse Channel Estimation for Wideband MmWave FD-MIMO Systems. - Milosz Kadzinski, Jan Badura, José Rui Figueira:
Using a Segmenting Description approach in Multiple Criteria Decision Aiding. - Matteo Stefanini, Riccardo Lancellotti, Lorenzo Baraldi, Simone Calderara:
A Deep Learning based approach to VM behavior identification in cloud systems. - Jianlin Su:
O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks. - Akiyoshi Sannai, Yuuki Takai, Matthieu Cordonnier:
Universal approximations of permutation invariant/equivariant functions by deep neural networks. - Chao Gao, Yuan Yao, Weizhi Zhu:
Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective. - Yazan Abu Farha, Juergen Gall:
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation. - Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
Performance Analysis of NOMA-based Cooperative Relaying in α - μ Fading Channels. - Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou, Zhoujun Li:
TableBank: Table Benchmark for Image-based Table Detection and Recognition. - Marcela S. Melara, David H. Liu, Michael J. Freedman:
Pyronia: Redesigning Least Privilege and Isolation for the Age of IoT. - Peter Braam:
The Lustre Storage Architecture. - Tao Chen, Saurabh Gupta, Abhinav Gupta:
Learning Exploration Policies for Navigation. - Amin Karamlou, Kristijonas Cyras, Francesca Toni:
Complexity Results and Algorithms for Bipolar Argumentation. - Maximiliano Celmo David Budán, María Laura Cobo, Diego C. Martínez, Antonino Rotolo:
Dealing with Qualitative and Quantitative Features in Legal Domains. - Avinash Sharma, Wally Niu, Christopher L. Hunt, George Levay, Rahul R. Kaliki, Nitish V. Thakor:
Augmented Reality Prosthesis Training Setup for Motor Skill Enhancement. - Saeed Amizadeh, Sergiy Matusevych, Markus Weimer:
PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers. - Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet:
Learning Latent Plans from Play. - Emre Ozfatura, Deniz Gündüz, Sennur Ulukus:
Gradient Coding with Clustering and Multi-message Communication. - Delia Fano Yela, Dan Stowell, Mark B. Sandler:
Visibility graphs for robust harmonic similarity measures between audio spectra. - Emad Aghayi, Thomas D. LaToza, Paurav Surendra, Seyedmeysam Abolghasemi:
Implementing Microservices through Microtasks. - Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Nicola Paoletti, Andrea Patane, Matthew Wicker:
Statistical Guarantees for the Robustness of Bayesian Neural Networks. - Julie Mullen, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers. - Masayoshi Kubo, Ryotaro Banno, Hidetaka Manabe, Masataka Minoji:
Implicit Regularization in Over-parameterized Neural Networks. - Michael Thomas Wojnowicz, Xuan Zhao:
PROPS: Probabilistic personalization of black-box sequence models. - Zeyang Yu, Shengxi Li, Danilo P. Mandic:
Widely Linear Complex-valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models. - Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
Using Natural Language for Reward Shaping in Reinforcement Learning. - Mohammad Asiful Hossain, Mehrdad Hosseinzadeh, Omit Chanda, Yang Wang:
Crowd Counting Using Scale-Aware Attention Networks. - Ali Behfarnia, Ali Eslami:
Risk Assessment of Autonomous Vehicles Using Bayesian Defense Graphs. - Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier. - Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki:
Learning a Lattice Planner Control Set for Autonomous Vehicles. - Adarsh Sehgal, Ashutosh Singandhupe, Hung Manh La, Alireza Tavakkoli, Sushil J. Louis:
Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization. - Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Gaps in Information Access in Social Networks. - Xiaowei Xu:
On the Quantization of Cellular Neural Networks for Cyber-Physical Systems. - Yukun Ding, Jinglan Liu, Jinjun Xiong, Yiyu Shi:
Evaluation of Neural Network Uncertainty Estimation with Application to Resource-Constrained Platforms. - Yingchong Ma, Zvi Shiller:
Pose Estimation of Vehicles Over Uneven Terrain. - Erdem Akagündüz, Adrian G. Bors, Karla K. Evans:
Defining Image Memorability using the Visual Memory Schema. - Arjen A. van der Meer, Cornelius Steinbrink, Kai Heussen, Daniel Esteban Morales Bondy, Merkebu Zenebe Degefa, Filip Pröstl Andrén, Thomas I. Strasser, Sebastian Lehnhoff, Peter Palensky:
Design of experiments aided holistic testing of cyber-physical energy systems. - Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo:
PatchNet: A Tool for Deep Patch Classification. - Shobhit Jain, Paolo Tiso:
Model Order Reduction for Temperature-Dependent Nonlinear Mechanical Systems: A Multiple Scales Approach. - Jonathon Sather:
Viewpoint Optimization for Autonomous Strawberry Harvesting with Deep Reinforcement Learning. - Amine Mhedhbi, Semih Salihoglu:
Optimizing Subgraph Queries by Combining Binary and Worst-Case Optimal Joins. - Faouzi Bellili, Foad Sohrabi, Wei Yu:
Generalized Approximate Message Passing for Massive MIMO mmWave Channel Estimation with Laplacian Prior. - Rushikesh Kamalapurkar:
Output-feedback online optimal control for a class of nonlinear systems. - Nazeeh Ghatasheh, Hossam Faris, Ibrahim Aljarah, Rizik M. H. Al-Sayyed:
Optimizing Software Effort Estimation Models Using Firefly Algorithm. - Sambit Mohapatra, Heinrich Gotzig, Senthil Kumar Yogamani, Stefan Milz, Raoul Zöllner:
Exploring Deep Spiking Neural Networks for Automated Driving Applications. - Samira Vafay Eslahi, Nader Jafarnia Dabanloo, Keivan Maghooli:
A GA-based feature selection of the EEG signals by classification evaluation: Application in BCI systems. - Yifeng Zhang, Ka Ho Chow, S.-H. Gary Chan:
DA-LSTM: A Long Short-Term Memory with Depth Adaptive to Non-uniform Information Flow in Sequential Data. - Brian Crafton, Abhinav Parihar, Evan Gebhardt, Arijit Raychowdhury:
Direct Feedback Alignment with Sparse Connections for Local Learning. - Florian Richter, Ryan K. Orosco, Michael C. Yip:
Open-Sourced Reinforcement Learning Environments for Surgical Robotics. - Behzad Hassani, Pooran Singh Negi, Mohammad H. Mahoor:
Bounded Residual Gradient Networks (BReG-Net) for Facial Affect Computing. - João Silvério, Yanlong Huang, Fares J. Abu-Dakka, Leonel Dario Rozo, Darwin G. Caldwell:
Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives. - Zhi Tian, Tong He, Chunhua Shen, Youliang Yan:
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation. - Ghazaleh Beigi, Suhas Ranganath, Huan Liu:
Signed Link Prediction with Sparse Data: The Role of Personality Information. - Pengxia Wu, Zichuan Liu, Julian Cheng:
Compressed CSI Feedback With Learned Measurement Matrix for mmWave Massive MIMO. - Philip Colangelo, Oren Segal, Alexander Speicher, Martin Margala:
Evolutionary Cell Aided Design for Neural Network Architectures. - Qi Li, Yunfan Liu, Zhenan Sun:
Age Progression and Regression with Spatial Attention Modules. - Tianxing He, James R. Glass:
Negative Training for Neural Dialogue Response Generation. - Da Li, Zhang Zhang:
Large-Scale Pedestrian Retrieval Competition. - Xiaoying Zheng, Ye Xia:
Exploring Mixed Integer Programming Reformulations for Virtual Machine Placement with Disk Anti-Colocation Constraints. - Hui Jiang:
Why Learning of Large-Scale Neural Networks Behaves Like Convex Optimization. - Rouzbeh Behnia, Muslum Ozgur Ozmen, Attila A. Yavuz:
ARIS: Authentication for Real-Time IoT Systems. - Luxin Han, Fei Gao, Boyu Zhou, Shaojie Shen:
FIESTA: Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots. - Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu:
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. - (Withdrawn) Safeguarded Dynamic Label Regression for Generalized Noisy Supervision.
- Ruoxi Wang, Chao Chen, Jonghyun Lee, Eric Darve:
PBBFMM3D: a Parallel Black-Box Fast Multipole Method for Non-oscillatory Kernels. - Weinan E, Chao Ma, Qingcan Wang:
A Priori Estimates of the Population Risk for Residual Networks. - De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao:
Semantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification. - Piji Li, Zihao Wang, Lidong Bing, Wai Lam:
Persona-Aware Tips Generation. - Kazuhiro Kurita, Kunihiro Wasa, Hiroki Arimura, Takeaki Uno:
An Efficient Algorithm for Enumerating Chordal Bipartite Induced Subgraphs in Sparse Graphs. - Sanghwan Bae, Jihun Choi, Sang-goo Lee:
SNU_IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification. - Ahmed Ayyad, Nassir Navab, Mohamed Elhoseiny, Shadi Albarqouni:
Semi-Supervised Few-Shot Learning with Local and Global Consistency. - Dilpreet Singh, Nina Rajcic, Simon Colton, Jon McCormack:
Camera Obscurer: Generative Art for Design Inspiration. - Jon McCormack, Toby Gifford, Patrick Hutchings:
Autonomy, Authenticity, Authorship and Intention in computer generated art. - Taimoor Akhtar, Christine A. Shoemaker:
Efficient Multi-Objective Optimization through Population-based Parallel Surrogate Search. - Marwan Mattar, Roozbeh Mottaghi, Julian Togelius, Danny Lange:
AAAI-2019 Workshop on Games and Simulations for Artificial Intelligence. - Gan Sun, Yang Cong, Qianqian Wang, Bineng Zhong, Yun Fu:
Representative Task Self-selection for Flexible Clustered Lifelong Learning. - Wen Zhang, Kai Shu, Huan Liu, Yalin Wang:
Graph Neural Networks for User Identity Linkage. - Shumpei Kubosawa, Takashi Onishi, Yoshimasa Tsuruoka:
Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning. - Suthee Ruangwises, Toshiya Itoh:
Stable Noncrossing Matchings. - Yu Chen, Lingfei Wu, Mohammed J. Zaki:
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases. - Qin Zou, Hanwen Jiang, Qiyu Dai, Yuanhao Yue, Long Chen, Qian Wang:
Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Networks. - Mojgan Pourhassan, Vahid Roostapour, Frank Neumann:
Runtime Analysis of RLS and (1+1) EA for the Dynamic Weighted Vertex Cover Problem. - Pramuditha Perera, Vishal M. Patel:
Deep Transfer Learning for Multiple Class Novelty Detection. - Yujiao Cheng, Liting Sun, Masayoshi Tomizuka:
Towards Better Human Robot Collaboration with Robust Plan Recognition and Trajectory Prediction. - Yang Li, Lloyd Allison, Kevin B. Korb:
Proving the NP-completeness of optimal moral graph triangulation. - Guangfeng Lin, Wanjun Chen, Kaiyang Liao, XiaoBing Kang, Caixia Fan:
Transfer feature generating networks with semantic classes structure for zero-shot learning. - Martin Brossard, Axel Barrau, Silvère Bonnabel:
RINS-W: Robust Inertial Navigation System on Wheels. - Andrew Razjigaev, Ajay K. Pandey, Jonathan Roberts, Liao Wu:
Optimal Dexterity for a Snake-like Surgical Manipulator using Patient-specific Task-space Constraints in a Computational Design Algorithm. - Guillaume Bellegarda, Katie Byl:
Training in Task Space to Speed Up and Guide Reinforcement Learning. - Yali Chen, Bo Ai, Yong Niu, Ruisi He, Zhangdui Zhong, Zhu Han:
Resource Allocation for Device-to-Device Communications in Multi-Cell Multi-Band Heterogeneous Cellular Networks. - Mkhuseli Ngxande, Jules-Raymond Tapamo, Michael Burke:
DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis. - Chao-Chun Hsu, Yu-Hua Chen, Zi-Yuan Chen, Hsin-Yu Lin, Ting-Hao Kenneth Huang, Lun-Wei Ku:
Dixit: Interactive Visual Storytelling via Term Manipulation. - Kaimo Lin, Nianjuan Jiang, Loong Fah Cheong, Jiangbo Lu, Xun Xu:
Robust Video Background Identification by Dominant Rigid Motion Estimation. - Eissa Jaber Alreshidi, Mohammad Bilal:
Characterizing Human Behaviours Using Statistical Motion Descriptor. - Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
Positively Scale-Invariant Flatness of ReLU Neural Networks. - Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn:
Photo-realistic Image Super-resolution with Fast and Lightweight Cascading Residual Network. - Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu:
Distributed Policy Learning Based Random Access for Diversified QoS Requirements. - Jack Umenberger, Thomas B. Schön:
Nonlinear input design as optimal control of a Hamiltonian system. - Arjun R. Akula, Song-Chun Zhu:
Visual Discourse Parsing. - Peter G. Boyvalenkov, Danyo Danev:
Linear Programming Bounds. - Mario Lucic, Michael Tschannen, Marvin Ritter, Xiaohua Zhai, Olivier Bachem, Sylvain Gelly:
High-Fidelity Image Generation With Fewer Labels. - Omar Abdelaziz, Minzhou Luo, Guanwu Jiang, Saixuan Chen:
Multiple configurations for puncturing robot positioning. - Johann Laconte, Christophe Debain, Roland Chapuis, François Pomerleau, Romuald Aufrère:
Lambda-Field: A Continuous Counterpart of the Bayesian Occupancy Grid for Risk Assessment. - Amin Ghazanfari, Emil Björnson, Erik G. Larsson:
Optimized Power Control for Massive MIMO with Underlaid D2D Communications. - Isabel Funke, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel:
Video-based surgical skill assessment using 3D convolutional neural networks. - Tobias Klamt, Sven Behnke:
Towards Learning Abstract Representations for Locomotion Planning in High-dimensional State Spaces. - Eti Chaudhary, Saurabh Joshi:
Pinaka: Symbolic Execution meets Incremental Solving (Competition Contribution). - Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel, Thomas Plagemann:
Learning from Higher-Layer Feature Visualizations. - Parisa Nouri, Hirley Alves, Richard Demo Souza, Matti Latva-aho:
In-Band Pilot Overhead in Ultra-Reliable Low Latency Decode and Forward Relaying. - Muhammed Kocabas, Salih Karagoz, Emre Akbas:
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry. - Juha Yli-Kaakinen, Toni Levanen, Arto Palin, Markku Renfors, Mikko Valkama:
Generalized Fast-Convolution-based Filtered-OFDM: Techniques and Application to 5G New Radio. - A. K. M. Bahalul Haque, Md. Amdadul Bari, Sayed Saiful Arman, Farhat Tasnim Progga:
A Secure Communication Scheme for Corporate and Defense Community. - Martin Lück, Miikka Vilander:
On the Succinctness of Atoms of Dependency. - Matthieu Komorowski, Leo A. Celi, Omar Badawi, Anthony C. Gordon, A. Aldo Faisal:
Understanding the Artificial Intelligence Clinician and optimal treatment strategies for sepsis in intensive care. - Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen:
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning. - Michel Fliess, Cédric Join, Maria Bekcheva, Alireza Moradi, Hugues Mounier:
Easily implementable time series forecasting techniques for resource provisioning in cloud computing. - Hugo A. Akitaya, Maike Buchin, Leonie Ryvkin, Jérôme Urhausen:
The k-Fréchet distance. - Jiasong Wu, Hongshan Ren, Youyong Kong, Chunfeng Yang, Lotfi Senhadji, Huazhong Shu:
Compressing complex convolutional neural network based on an improved deep compression algorithm. - Chi-Ning Chou, Mrinal Kumar, Noam Solomon:
Closure of VP under taking factors: a short and simple proof. - Mahdi Barzegar Khalilsarai, Stelios Stefanatos, Gerhard Wunder, Giuseppe Caire:
WiFi-Based Indoor Localization via Multi-Band Splicing and Phase Retrieval. - Roman Werpachowski, András György, Csaba Szepesvári:
Detecting Overfitting via Adversarial Examples. - Jiadong Han:
An Adaptive Grid Algorithm for Computing the Homology Group of Semialgebraic Set. - Konstantin Avrachenkov, Jasper Goseling, Berksan Serbetci:
Distributed Cooperative Caching for VoD with Geographic Constraints. - Liat Antwarg, Bracha Shapira, Lior Rokach:
Explaining Anomalies Detected by Autoencoders Using SHAP. - Nujoom Sageer Karat, B. Sundar Rajan:
On the Optimality of Ali-Niesen Decentralized Coded Caching Scheme With and Without Error Correction. - Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere:
A Grounded Interaction Protocol for Explainable Artificial Intelligence. - Wanyun Cui, Yanghua Xiao, Haixun Wang, Yangqiu Song, Seung-won Hwang, Wei Wang:
KBQA: Learning Question Answering over QA Corpora and Knowledge Bases. - Milena Veneva, Alexander Ayriyan:
Performance Analysis of Effective Symbolic Methods for Solving Band Matrix SLAEs. - Yuri S. Sarkisov, Min Jun Kim, Davide Bicego, Dzmitry Tsetserukou, Christian Ott, Antonio Franchi, Konstantin Kondak:
Development of SAM: cable-Suspended Aerial Manipulator. - Matthias Fey, Jan Eric Lenssen:
Fast Graph Representation Learning with PyTorch Geometric. - Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker:
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. - Ian Wright, Albert Ziegler:
The standard coder: a machine learning approach to measuring the effort required to produce source code change. - Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Timothée Masquelier:
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron. - Christoph Matthies, Franziska Dobrigkeit, Guenter Hesse:
An Additional Set of (Automated) Eyes: Chatbots for Agile Retrospectives. - Stéphane Breuils, Vincent Nozick, Laurent Fuchs, Akihiro Sugimoto:
Efficient representation and manipulation of quadratic surfaces using Geometric Algebras. - Siddharth Gupta, Guy Sa'ar, Meirav Zehavi:
The Parameterized Complexity of Motion Planning for Snake-Like Robots. - Sebastian S. Feger, Sünje Dallmeier-Tiessen, Pawel W. Wozniak, Albrecht Schmidt:
Gamification in Science: A Study of Requirements in the Context of Reproducible Research. - Markus Ring, Sarah Wunderlich, Deniz Scheuring, Dieter Landes, Andreas Hotho:
A Survey of Network-based Intrusion Detection Data Sets. - Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn, Tom Rainforth, Hongseok Yang, Frank Wood:
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models. - Alexandre Gariépy, Jean-Christophe Ruel, Brahim Chaib-draa, Philippe Giguère:
GQ-STN: Optimizing One-Shot Grasp Detection based on Robustness Classifier. - Hisham Cholakkal, Guolei Sun, Fahad Shahbaz Khan, Ling Shao:
Object Counting and Instance Segmentation with Image-level Supervision. - Jawadul H. Bappy, Cody Simons, Lakshmanan Nataraj, B. S. Manjunath, Amit K. Roy-Chowdhury:
Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries. - Sen He, Hamed R. Tavakoli, Ali Borji, Nicolas Pugeault:
A Synchronized Multi-Modal Attention-Caption Dataset and Analysis. - Huitong Pan, Yushan Feng, Quan Chen, Craig H. Meyer, Xue Feng:
Prostate Segmentation from 3D MRI Using a Two-Stage Model and Variable-Input Based Uncertainty Measure. - Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault:
Understanding and Visualizing Deep Visual Saliency Models. - Julian G. Zilly, Jacopo Tani, Breandan Considine, Bhairav Mehta, Andrea F. Daniele, Manfred Diaz, Gianmarco Bernasconi, Claudio Ruch, Jan Hakenberg, Florian Golemo, A. Kirsten Bowser, Matthew R. Walter, Ruslan Hristov, Sunil Mallya, Emilio Frazzoli, Andrea Censi, Liam Paull:
The AI Driving Olympics at NeurIPS 2018. - Guangzhi Tang, Arpit Shah, Konstantinos P. Michmizos:
Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM. - Junjie Ma, Rishabh Dudeja, Ji Xu, Arian Maleki, Xiaodong Wang:
Spectral Method for Phase Retrieval: an Expectation Propagation Perspective. - Jiayun Li, Mohammad K. Ebrahimpour, Azadeh Moghtaderi, Yen-Yun Yu:
Image captioning with weakly-supervised attention penalty. - Nikola K. Blanchard, Eldar Fischer, Oded Lachish, Felix Reidl:
Longest paths in 2-edge-connected cubic graphs. - Shouyong Jiang, Marcus Kaiser, Shengxiang Yang, Stefanos D. Kollias, Natalio Krasnogor:
A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation. - Miguel Vasco, Francisco S. Melo, David Martins de Matos, Ana Paiva, Tetsunari Inamura:
Learning multimodal representations for sample-efficient recognition of human actions. - Mauricio Matamoros, Viktor Seib, Dietrich Paulus:
Trends, Challenges and Adopted Strategies in RoboCup@Home. - Aritra Chowdhury, Malik Magdon-Ismail, Bülent Yener:
Quantifying error contributions of computational steps, algorithms and hyperparameter choices in image classification pipelines. - Mingyong Zhou:
Can One Design a Series of Brains for Neuromorphic Computing to solve complex inverse problems. - Jiameng Fan, Wenchao Li:
Safety-Guided Deep Reinforcement Learning via Online Gaussian Process Estimation. - Somil Bansal, Varun Tolani, Saurabh Gupta, Jitendra Malik, Claire J. Tomlin:
Combining Optimal Control and Learning for Visual Navigation in Novel Environments. - J. Ian Munro, Sebastian Wild:
Entropy Trees and Range-Minimum Queries In Optimal Average-Case Space. - Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang:
Channel Decoding with Quantum Approximate Optimization Algorithm. - Chad E. Brown, Thibault Gauthier, Cezary Kaliszyk, Geoff Sutcliffe, Josef Urban:
GRUNGE: A Grand Unified ATP Challenge. - Matteo Maggiolo, Gerasimos Spanakis:
Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction. - Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro:
Relational Pooling for Graph Representations. - Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation. - Aditya Sundararajan, Arif I. Sarwat, Alexander Perez-Pons:
A Survey on Modality Characteristics, Performance Evaluation Metrics, and Security for Traditional and Wearable Biometric Systems. - Deguang Wang, Junzhong Shen, Mei Wen, Chunyuan Zhang:
Towards a Uniform Architecture for the Efficient Implementation of 2D and 3D Deconvolutional Neural Networks on FPGAs. - Hao Ye, Le Liang, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel. - Yunlong Huang:
A Lane-Change Path Planner and its application with a monocular camera. - Tavi Halperin, Harel Cain, Ofir Bibi, Michael Werman:
Clear Skies Ahead: Towards Real-Time Automatic Sky Replacement in Video. - Guanxiong Liu, Issa Khalil, Abdallah Khreishah:
GanDef: A GAN based Adversarial Training Defense for Neural Network Classifier. - Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Sentence Embedding Alignment for Lifelong Relation Extraction. - Hsu-Chieh Hu, Stephen F. Smith:
Softpressure: A Schedule-Driven Backpressure Algorithm for Coping with Network Congestion. - Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. - Francesco Kriegel:
Incremental Computation of Concept Diagrams. - Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David W. Nellans, Stephen W. Keckler:
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs. - Rami Puzis, Hadar Polad, Bracha Shapira:
Attack Graph Obfuscation. - Mingwei Wei, James Stokes, David J. Schwab:
Mean-field Analysis of Batch Normalization. - Hooman Abasi, Mostafa Salehi, Vahid Ranjbar:
HRSON: Home-based Routing for Smartphones in Opportunistic Networks. - Yousra Javed, Mohamed Shehab:
Visual Analysis of Photo Policy Misconfigurations Using Treemaps. - Ruturaj K. Vaidya, Lorenzo De Carli, Drew Davidson, Vaibhav Rastogi:
Security Issues in Language-based Sofware Ecosystems. - Yousra Javed, Boyd Davis, Mohamed Shehab:
Seniors' Media Preference for Receiving Internet Security Information: A Pilot Study. - Julien Proy, Karine Heydemann, Fabien Majéric, Albert Cohen, Alexandre Berzati:
Studying EM Pulse Effects on Superscalar Microarchitectures at ISA Level. - Eric E. Severson, David Haley, David Doty:
Composable computation in discrete chemical reaction networks. - Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto:
IMEXnet: A Forward Stable Deep Neural Network. - Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Generative Graph Convolutional Network for Growing Graphs. - Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy:
Structure-Preserving Community In A Multilayer Network: Definition, Detection, And Analysis. - Adrián Javaloy Bornás, Ginés García-Mateos:
A Character-Level Approach to the Text Normalization Problem Based on a New Causal Encoder. - Sergio Cabello, Jean Cardinal, John Iacono, Stefan Langerman, Pat Morin, Aurélien Ooms:
Encoding 3SUM. - Nicholas Ketz, Soheil Kolouri, Praveen K. Pilly:
Using World Models for Pseudo-Rehearsal in Continual Learning. - Jessica Hoffmann, Constantine Caramanis:
Learning Graphs from Noisy Epidemic Cascades. - Mengxi Wei, Yifan He, Qiong Zhang, Luo Si:
Multi-Instance Learning for End-to-End Knowledge Base Question Answering. - Sharon Qian, Yaron Singer:
Fast Parallel Algorithms for Feature Selection. - Jessica Cooper, Ognjen Arandjelovic:
Understanding Ancient Coin Images. - Gerhard Wohlgenannt, Ariadna Barinova, Dmitry I. Ilvovsky, Ekaterina Chernyak:
Creation and Evaluation of Datasets for Distributional Semantics Tasks in the Digital Humanities Domain. - Yair Carmon, John C. Duchi, Aaron Sidford, Kevin Tian:
A Rank-1 Sketch for Matrix Multiplicative Weights. - Rishabh Dudeja, Milad Bakhshizadeh, Junjie Ma, Arian Maleki:
Rigorous Analysis of Spectral Methods for Random Orthogonal Matrices. - Xi Shen, Alexei A. Efros, Mathieu Aubry:
Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning. - Shafeeq Elanattil, Peyman Moghadam:
Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction. - Wang Gang:
A Novel Neural Network Structure Constructed according to Logical Relations. - Hongliang Zhang, Boya Di, Kaigui Bian, Lingyang Song:
IoT-U: Cellular Internet-of-Things Networks over Unlicensed Spectrum. - Jie Chen, Lap-Pui Chau, Junhui Hou:
Stratified Labeling for Surface Consistent Parallax Correction and Occlusion Completion. - Dorin M. Popovici, Felix G. Hamza-Lup, Adrian Seitan, Crenguta M. Bogdan:
Comparative Study of APIs and Frameworks for Haptic Application Development. - Chris von Csefalvay:
Novel quantitative indicators of digital ophthalmoscopy image quality.