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ORCIDCoRR, October 2018
- Minjia Shi, Denis S. Krotov, Patrick Solé:
A new approach to the Kasami codes of type 2. - Washington Garcia, Joseph I. Choi, Suman Kalyan Adari, Somesh Jha, Kevin R. B. Butler:
Explainable Black-Box Attacks Against Model-based Authentication. - Anthony C. Fletcher, Cameron Mura
:
Ten Simple Rules for Using a Raspberry Pi. - Aniket Bera, Tanmay Randhavane, Emily Kubin, Husam Shaik, Kurt Gray, Dinesh Manocha:
Data-Driven Modeling of Group Entitativity in Virtual Environments. - Eduardo Sany Laber, Lucas Murtinho:
Minimization of Gini impurity via connections with the k-means problem. - Alejandro Noriega-Campero, Michiel A. Bakker, Bernardo Garcia-Bulle, Alex Pentland:
Active Fairness in Algorithmic Decision Making. - Mo Dong, Qingkai Liang, Xiaozhou Li, Junda Liu:
Celer Network: Bring Internet Scale to Every Blockchain. - Francesco Calimeri, Carmine Dodaro, Davide Fuscà, Simona Perri, Jessica Zangari:
Efficiently Coupling the I-DLV Grounder with ASP Solvers. - Ali Farshchian, Juan Alvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E. Miller, Sara A. Solla:
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces. - Mohamed K. Helwa, Adrian Esser, Angela P. Schoellig:
Estimation-Based Model Predictive Control for Automatic Crosswind Stabilization of Hybrid Aerial Vehicles. - Chun-Ming Yuan, Zhi-Yong Zhang:
New bounds and efficient algorithm for sparse difference resultant. - Roshan Shariff, Or Sheffet:
Differentially Private Contextual Linear Bandits. - Anirban Chakraborty, Manaar Alam, Vishal Dey, Anupam Chattopadhyay, Debdeep Mukhopadhyay:
Adversarial Attacks and Defences: A Survey. - David Y. Zeng, Jamil Shaikh, Dwight G. Nishimura, Shreyas S. Vasanawala, Joseph Y. Cheng:
Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones. - Eugenio Alcalá, Vicenç Puig, Joseba Quevedo:
TS-MPC for Autonomous Vehicles including a dynamic TS-MHE-UIO. - Ciprian Amariei, Paul Diac, Emanuel Onica, Valentin Rosca:
Cell Grid Architecture for Maritime Route Prediction on AIS Data Streams. - Kun Wan, Boyuan Feng, Lingwei Xie, Yufei Ding:
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. - Mohamadreza Ahmadi, Murat Cubuktepe, Nils Jansen, Sebastian Junges, Joost-Pieter Katoen, Ufuk Topcu:
The Partially Observable Games We Play for Cyber Deception. - Mohamadreza Ahmadi, Bo Wu, Yuxin Chen, Yisong Yue, Ufuk Topcu:
Barrier Certificates for Assured Machine Teaching. - Valentin Rosca, Emanuel Onica, Paul Diac, Ciprian Amariei:
Predicting Destinations by Nearest Neighbor Search on Training Vessel Routes. - Bo Wu, Mohamadreza Ahmadi, Suda Bharadwaj, Ufuk Topcu:
Cost-Bounded Active Classification Using Partially Observable Markov Decision Processes. - Mohammadreza Ghanavati, Diego Costa, Janos Seboek, David Lo, Artur Andrzejak:
Memory and Resource Leak Defects and their Repairs in Java Projects. - Arnaud Casteigts, Joseph G. Peters, Jason Schoeters:
Temporal Cliques Admit Sparse Spanners. - Peter M. R. Rasmussen, Amit Sahai:
Expander Graphs are Non-Malleable Codes. - Celong Liu, Xin Li:
Superimposition-guided Facial Reconstruction from Skull. - Stavros Petridis, Themos Stafylakis, Pingchuan Ma, Georgios Tzimiropoulos, Maja Pantic:
Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture. - Karl Ridgeway, Michael C. Mozer:
Open-Ended Content-Style Recombination Via Leakage Filtering. - Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images. - Hossein Kashiani, Shahriar B. Shokouhi:
Visual Object Tracking based on Adaptive Siamese and Motion Estimation Network. - Yongqiang Cai, Qianxiao Li, Zuowei Shen:
On the Convergence and Robustness of Batch Normalization. - Jesse Farebrother, Marlos C. Machado, Michael Bowling:
Generalization and Regularization in DQN. - He Jiang, Xiaochen Li, Zhilei Ren, Jifeng Xuan, Zhi Jin:
Towards Better Summarizing Bug Reports with Crowdsourcing Elicited Attributes. - Jacky C. K. Chow, Ivan Detchev, Kathleen Ang, Kristian Morin, Karthik Mahadevan, Nicholas Louie:
Robot Vision: Calibration of Wide-Angle Lens Cameras Using Collinearity Condition and K-Nearest Neighbour Regression. - Gerhard W. Dueck, Anirban Pathak, Md. Mazder Rahman, Abhishek Shukla, Anindita Banerjee:
Optimization of Circuits for IBM's five-qubit Quantum Computers. - Carlos Laufer, Daniel Schwabe:
A Framework to Support the Trust Process in News and Social Media. - Ghasem Pasandi, Massoud Pedram:
A Graph Partitioning Algorithm with Application in Synthesizing Single Flux Quantum Logic Circuits. - S. Rasoul Etesami:
A Simple Framework for Stability Analysis of State-Dependent Networks of Heterogeneous Agents. - Yash Bhalgat:
FusedLSTM: Fusing frame-level and video-level features for Content-based Video Relevance Prediction. - Guangming Shi, Zhongqiang Zhang, Dahua Gao, Xuemei Xie, Yihao Feng, Xinrui Ma, Danhua Liu:
Knowledge-guided Semantic Computing Network. - Guru Subramani, Michael R. Zinn, Michael Gleicher:
Inferring geometric constraints in human demonstrations. - Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu:
AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods. - Fuxun Yu, Chenchen Liu, Yanzhi Wang, Liang Zhao, Xiang Chen:
Interpreting Adversarial Robustness: A View from Decision Surface in Input Space. - Hejia Zhang, Eric Heiden, Ryan Julian, Zhangpeng He, Joseph J. Lim, Gaurav S. Sukhatme:
Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation. - Tianmin Shu, Yuandong Tian:
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning. - Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang:
Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning. - Jun Jin, Laura Petrich, Masood Dehghan, Zichen Zhang, Martin Jägersand:
Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach. - Eugene Goldberg:
Quantifier Elimination With Structural Learning. - Aoyu Wu, Bon Kyung Ku, Furui Cheng, Xinhuan Shu, Abishek Puri, Yifang Wang, Huamin Qu:
Pulse: Toward a Smart Campus by Communicating Real-time Wi-Fi Access Data. - Chaim Baskin, Natan Liss, Yoav Chai, Evgenii Zheltonozhskii, Eli Schwartz, Raja Giryes, Avi Mendelson, Alexander M. Bronstein:
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization. - Mohammad Noormohammadpour, Ajitesh Srivastava, Cauligi S. Raghavendra:
On Minimizing the Completion Times of Long Flows over Inter-Datacenter WAN. - Takuya Hiraoka, Takashi Onishi, Takahisa Imagawa, Yoshimasa Tsuruoka:
Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients. - Daniele Santoro, Daniel Zozin, Daniele Pizzolli, Francesco De Pellegrini, Silvio Cretti:
Foggy: A Platform for Workload Orchestration in a Fog Computing Environment. - Ravi Tej Akella, Raviteja Rekula, Vinod Pankajakshan:
A Randomized Kernel-Based Secret Image Sharing Scheme. - Zhiyong Sun, Héctor García de Marina, Georg S. Seyboth, Brian D. O. Anderson, Changbin Yu:
Collaborative target-tracking control using multiple autonomous fixed-wing UAVs with constant speeds: Theory and experiments. - Alun D. Preece, Dan Harborne, Dave Braines, Richard Tomsett, Supriyo Chakraborty:
Stakeholders in Explainable AI. - Simone Silvestri, Rene Pecnik:
A fast GPU Monte Carlo Radiative Heat Transfer Implementation for Coupling with Direct Numerical Simulation. - Kamran Keykhosravi, Houman Rastegarfar, Nasser Peyghambarian, Erik Agrell:
Exploiting AWG Free Spectral Range Periodicity in Distributed Multicast Architectures. - Rui Zhu, Tao Shu, Huirong Fu:
Statistical Inference Attack Against PHY-layer Key Extraction and Countermeasures. - Ke Sun, Vijay Kumar:
Stochastic 2-D Motion Planning with a POMDP Framework. - Yongyi Tang, Xing Zhang, Jingwen Wang, Shaoxiang Chen, Lin Ma, Yu-Gang Jiang:
Non-local NetVLAD Encoding for Video Classification. - Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Ross Anderson:
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression. - Nikhil Chavan Dafle, Rachel M. Holladay, Alberto Rodriguez:
In-Hand Manipulation via Motion Cones. - Adrien Bitton, Philippe Esling, Axel Chemla-Romeu-Santos:
Modulated Variational auto-Encoders for many-to-many musical timbre transfer. - Tamir Bendory, Nicolas Boumal, William E. Leeb, Eitan Levin, Amit Singer:
Toward single particle reconstruction without particle picking: Breaking the detection limit. - Pratishtha Shukla, Aranya Chakrabortty, Alexandra Duel-Hallen:
A Cyber-Security Investment Game for Networked Control Systems. - Faisal Mahmood, Daniel Borders, Richard Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr:
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. - Giovanni Interdonato, Marcus Karlsson, Emil Björnson, Erik G. Larsson:
Downlink Spectral Efficiency of Cell-Free Massive MIMO with Full-Pilot Zero-Forcing. - Nicolas Pröllochs, Stefan Feuerriegel:
Reinforcement Learning in R. - Kinga Skorupska, Manuel Núñez, Wieslaw Kopec, Radoslaw Nielek:
Older Adults and Crowdsourcing: Android TV App for Evaluating TEDx Subtitle Quality. - Bartlomiej Bosek, Tomasz Krawczyk:
On-line partitioning of width w posets into w^O(log log w) chains. - Farzad Eskandanian, Bamshad Mobasher:
Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks. - Dinh-Thuan Do, Mojtaba Vaezi, Thanh-Luan Nguyen:
Wireless Powered Cooperative Relaying using NOMA with Imperfect CSI. - Pawel Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, Milica Gasic:
MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling. - Ruben Recabarren, Bogdan Carbunar:
Tithonus: A Bitcoin Based Censorship Resilient System. - Quanyan Zhu, Stefan Rass, Peter Schartner:
Community-Based Security for the Internet of Things. - Quanyan Zhu:
Multi-Layer Cyber-Physical Security and Resilience for Smart Grid. - Quanyan Zhu:
Cyber Insurance. - Lei Yu, Vincent Y. F. Tan:
On Exact and ∞-Rényi Common Informations. - Photios A. Stavrou, Jan Østergaard, Charalambos D. Charalambous:
Zero-Delay Rate Distortion via Filtering for Vector-Valued Gaussian Sources. - Simon Alford, Ryan A. Robinett, Lauren Milechin, Jeremy Kepner:
Pruned and Structurally Sparse Neural Networks. - Min Chen, Yiming Miao, Xin Jian, Xiaofei Wang, Iztok Humar:
Cognitive-LPWAN: Towards Intelligent Wireless Services in Hybrid Low Power Wide Area Networks. - Shanshan Wang, Ziwen Ke, Huitao Cheng, Sen Jia, Leslie Ying, Hairong Zheng, Dong Liang:
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training. - Zichuan Liu, Guosheng Lin, Wang Ling Goh, Fayao Liu, Chunhua Shen, Xiaokang Yang:
Correlation Propagation Networks for Scene Text Detection. - Cheol-Ho Hong, Blesson Varghese:
Resource Management in Fog/Edge Computing: A Survey. - Sangkug Lym, Armand Behroozi, Wei Wen, Ge Li, Yongkee Kwon, Mattan Erez:
Mini-batch Serialization: CNN Training with Inter-layer Data Reuse. - Mohamed El Amine Elforaici, Ismail Chaaraoui, Wassim Bouachir, Youssef Ouakrim, Neila Mezghani:
Posture recognition using an RGB-D camera : exploring 3D body modeling and deep learning approaches. - He Yin, Andrew K. Packard, Murat Arcak, Peter J. Seiler:
Finite Horizon Backward Reachability Analysis and Control Synthesis for Uncertain Nonlinear Systems. - Saikat Chakraborty, Miltiadis Allamanis, Baishakhi Ray:
Tree2Tree Neural Translation Model for Learning Source Code Changes. - Toshihide Tadenuma, Masaki Ogura, Kenji Sugimoto:
Sampled-Data State Observation over Lossy Networks under Round-Robin Scheduling. - Seong Joon Oh, Kevin Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher:
Modeling Uncertainty with Hedged Instance Embedding. - Micha Feigin, Daniel Freedman, Brian W. Anthony:
A Deep learning framework for Single sided sound speed inversion in medical ultrasound. - Walid S. Saba:
On the Winograd Schema Challenge: Levels of Language Understanding and the Phenomenon of the Missing Text. - Wahyudi, Masayu Leylia Khodra, Ary Setijadi Prihatmanto, Carmadi Machbub:
Using Graph-Pattern Association Rules On Yago Knowledge Base. - Amirhossein Dadashzadeh, Alireza Tavakoli Targhi:
Multi-Level Contextual Network for Biomedical Image Segmentation. - Vasco Lopes, Luís A. Alexandre:
An Overview of Blockchain Integration with Robotics and Artificial Intelligence. - Albert Gatt, Nicolás Marín, Gustavo Rivas-Gervilla, Daniel Sánchez:
Specificity measures and reference. - Xinyun Chen, Yuandong Tian:
Learning to Progressively Plan. - Shaohan Huang, Yu Wu, Furu Wei, Ming Zhou:
Text Morphing. - Yuhu Shan, Wen Feng Lu, Chee-Meng Chew:
Pixel and Feature Level Based Domain Adaption for Object Detection in Autonomous Driving. - Xiaoxiao Yin, Daqi Zheng, Zhengdong Lu, Ruifang Liu:
Neural Entity Reasoner for Global Consistency in NER. - Kazim Rifat Özyilmaz, Mehmet Dogan, Arda Yurdakul:
IDMoB: IoT Data Marketplace on Blockchain. - Tingxiang Fan, Xinjing Cheng, Jia Pan, Pinxin Long, Wenxi Liu, Ruigang Yang, Dinesh Manocha:
Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds. - Rui Li, Chaoyun Zhang, Paul Patras, Pan Cao, John S. Thompson:
DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls. - Christian R. G. Dreher, Nicklas Kulp, Christian Mandery, Mirko Wächter, Tamim Asfour:
A Framework for Evaluating Motion Segmentation Algorithms. - Joni Salminen, Bernard J. Jansen:
Use Cases and Outlooks for Automatic Analytics. - Dawood Al Chanti, Alice Caplier:
Improving Bag-of-Visual-Words Towards Effective Facial Expressive Image Classification. - Gino Brunner, Manuel Fritsche, Oliver Richter, Roger Wattenhofer:
Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning. - Dawood Al Chanti, Alice Caplier:
Spontaneous Facial Expression Recognition using Sparse Representation. - Reuben Cohn-Gordon, Noah D. Goodman, Christopher Potts:
An Incremental Iterated Response Model of Pragmatics. - Marcello De Bernardi, M. H. R. Khouzani, Pasquale Malacaria:
Pseudo-Random Number Generation using Generative Adversarial Networks. - Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, Celina Ping Yu:
Privacy-preserving Stochastic Gradual Learning. - Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy:
Manifold Alignment with Feature Correspondence. - Ágnes Cseh, Attila Juhos:
Pairwise preferences in the stable marriage problem. - Jesse Johnson:
Deep, Skinny Neural Networks are not Universal Approximators. - Roman Khudorozhkov, Dmitry Podvyaznikov:
Benchmarks of ResNet Architecture for Atrial Fibrillation Classification. - Raphael Hiesgen, Dominik Charousset, Thomas C. Schmidt:
A Configurable Transport Layer for CAF. - Ido Zachevsky, Yehoshua Y. Zeevi:
Modelling local phase of images and textures with applications in phase denoising and phase retrieval. - Minas Benyamin, Jeff Calder, Ganesh Sundaramoorthi, Anthony J. Yezzi:
Accelerated PDE's for efficient solution of regularized inversion problems. - Robert Max Williams, Roman V. Yampolskiy:
Optical Illusions Images Dataset. - Rutvika Manohar, Takashi Hikihara:
Dynamic behaviour of a ring coupled boost converter system with passivity-based control. - Siddhartha Dhar Choudhury, Shashank Pandey:
Nth Absolute Root Mean Error. - Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Guy Wolf, Smita Krishnaswamy:
Graph Spectral Regularization for Neural Network Interpretability. - Saeed Najafi, Colin Cherry, Grzegorz Kondrak:
Efficient Sequence Labeling with Actor-Critic Training. - Huizi Mao, Taeyoung Kong, William J. Dally:
CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video. - Ziyi Yang, Chenguang Zhu, Weizhu Chen:
Zero-training Sentence Embedding via Orthogonal Basis. - Qinglin Zhang, Chris Benton, Daniela Inclezan:
An Application of ASP Theories of Intentions to Understanding Restaurant Scenarios: Insights and Narrative Corpus. - Dawsen Hwang, Patrick Jaillet, Vahideh H. Manshadi:
Online Resource Allocation under Partially Predictable Demand. - David Métivier, Michael Chertkov:
Mean Field Control for Efficient Mixing of Energy Loads. - Vladimir Lifschitz, Patrick Lühne, Torsten Schaub:
anthem: Transforming gringo Programs into First-Order Theories (Preliminary Report). - Martin Farach-Colton, Meng Li, Meng-Tsung Tsai:
Streaming Algorithms for Planar Convex Hulls. - Ciro Potena, Raghav Khanna, Juan I. Nieto, Roland Siegwart, Daniele Nardi, Alberto Pretto:
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming. - Nathan F. Lepora, Martin J. Pearson, Luke Cramphorn:
TacWhiskers: Biomimetic optical tactile whiskered robots. - Priyanka Mandikal, Navaneet K. L., R. Venkatesh Babu:
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image. - Longsheng Jiang, Yue Wang:
A Human-Computer Interface Design for Quantitative Measure of Regret Theory. - Panagiotis Papadopoulos, Panagiotis Ilia, Michalis Polychronakis, Evangelos P. Markatos, Sotiris Ioannidis, Giorgos Vasiliadis:
Master of Web Puppets: Abusing Web Browsers for Persistent and Stealthy Computation. - Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober:
Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks. - Michalis K. Titsias, Sotirios Nikoloutsopoulos:
Bayesian Transfer Reinforcement Learning with Prior Knowledge Rules. - Fabian Steiner, Gerhard Kramer:
Optimization of Bit Mapping and Quantized Decoding for Off-the-Shelf Protograph LDPC Codes with Application to IEEE 802.3ca. - Kenneth T. Co, Luis Muñoz-González, Emil C. Lupu:
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Neural Networks. - Daniel McDuff, Roger Cheng, Ashish Kapoor:
Identifying Bias in AI using Simulation. - Yujie Xing, Raquel Fernández:
Automatic Evaluation of Neural Personality-based Chatbots. - Riddhish Bhalodia, Anupama Goparaju, Tim Sodergren, Alan Morris, Evgueni Kholmovski, Nassir Marrouche, Joshua Cates, Ross T. Whitaker, Shireen Y. Elhabian:
Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation. - Annie Xie, Avi Singh, Sergey Levine, Chelsea Finn:
Few-Shot Goal Inference for Visuomotor Learning and Planning. - Patrick E. Lancaster, Joshua R. Smith, Siddhartha S. Srinivasa:
Improved Proximity, Contact, and Force Sensing via Optimization of Elastomer-Air Interface Geometry. - Duc Thanh Anh Luong, Varun Chandola:
An Empirical Evaluation of Time-Aware LSTM Autoencoder on Chronic Kidney Disease. - Jinhyuk Lee, Seongjun Yun, Hyunjae Kim, Miyoung Ko, Jaewoo Kang:
Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering. - Qiang Zhang, Qiangqiang Yuan, Jie Li, Xinxin Liu, Huanfeng Shen, Liangpei Zhang:
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network. - Yoseob Han, Jong Chul Ye:
One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection. - Jagdeep Bhatia:
Simple Algorithms for Learning from Random Counterexamples. - Tianmin Shu, Caiming Xiong, Ying Nian Wu, Song-Chun Zhu:
Interactive Agent Modeling by Learning to Probe. - Feilong Liu, Ario Salmasi, Spyros Blanas, Anastasios Sidiropoulos:
Chasing Similarity: Distribution-aware Aggregation Scheduling (Extended Version). - A. V. Reznichenko, A. I. Chernykh, S. V. Smirnov, I. S. Terekhov:
The log log growth of channel capacity for nondispersive nonlinear optical fiber channel in intermediate power range. Extension of the model. - Ting-Wu Chin, Cha Zhang, Diana Marculescu:
Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks. - Rafael M. O. Cruz, Dayvid V. R. Oliveira, George D. C. Cavalcanti, Robert Sabourin:
FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic Ensemble Selection. - Walid S. Saba:
A Simple Machine Learning Method for Commonsense Reasoning? A Short Commentary on Trinh & Le (2018). - Ryan Cotsakis, David St-Onge, Giovanni Beltrame:
Decentralized collaborative transport of fabrics using micro-UAVs. - Soheil Esmaeilzadeh, Dimitrios Ioannis Belivanis, Kilian M. Pohl, Ehsan Adeli:
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification. - Sushant Veer, Ioannis Poulakakis:
Safe Adaptive Switching among Dynamical Movement Primitives: Application to 3D Limit-Cycle Walkers. - Bhadrachalam Chitturi, Jayakumar Pai:
Minimum-Link Rectilinear Covering Tour is NP-hard in R4. - Sebastian Kmiec, Juhan Bae, Ruijian An:
Learnable Pooling Methods for Video Classification. - Anupam Chattopadhyay, Kwok-Yan Lam:
Autonomous Vehicle: Security by Design. - Chengyuan Zhang, Ruipeng Chen, Lei Zhu, Zuping Zhang, Fang Huang, Yunwu Lin:
SVS-JOIN: Efficient Spatial Visual Similarity Join over Multimedia Data. - Talha Iqbal, Hazrat Ali:
Generative Adversarial Network for Medical Images (MI-GAN). - Yu-Ping Wang, Wende Tan, Xu-Qiang Hu, Dinesh Manocha, Shi-Min Hu:
TZC: Efficient Inter-Process Communication for Robotics Middleware with Partial Serialization. - J. V. Roig:
Stronger Cryptography For Every Device, Everywhere. - Sujay Bhatt, Vikram Krishnamurthy:
Adaptive Polling in Hierarchical Social Networks using Blackwell Dominance. - Qi Wang, Jesper Wiborg Schneider:
Consistency of interdisciplinarity measures. - Marcin Bienkowski, Lukasz Jez, Pawel Schmidt:
Slaying Hydrae: Improved Bounds for Generalized k-Server in Uniform Metrics. - Yi Zhou, Yue Bai, Shuvra S. Bhattacharyya, Heikki Huttunen:
Elastic Neural Networks for Classification. - Andreas Stöckl:
Detecting Satire in the News with Machine Learning. - Gabriele D'Angelo, Stefano Ferretti, Moreno Marzolla:
Fault Tolerant Adaptive Parallel and Distributed Simulation through Functional Replication. - Zhenzhou Shao, Hongfa Zhao, Jiexin Xie, Ying Qu, Yong Guan, Jindong Tan:
Unsupervised Trajectory Segmentation and Promoting of Multi-Modal Surgical Demonstrations. - Romeo Ortega, Bowen Yi, José Guadalupe Romero, Alessandro Astolfi:
Orbital Stabilization of Nonlinear Systems via the Immersion and Invariance Technique. - Shruti Tople, Karan Grover, Shweta Shinde, Ranjita Bhagwan, Ramachandran Ramjee:
Privado: Practical and Secure DNN Inference. - Adithya Subramanian, Anbumani Subramanian:
One-Click Annotation with Guided Hierarchical Object Detection. - Victor Carbune, Thierry Coppey, Alexander N. Daryin, Thomas Deselaers, Nikhil Sarda, Jay Yagnik:
Predicted Variables in Programming. - Karl Bringmann, Bhaskar Ray Chaudhury:
Polyline Simplification has Cubic Complexity. - L. Sunil Chandran, Rogers Mathew, Deepak Rajendraprasad, Nitin Singh:
Approximation bounds on maximum edge 2-coloring of dense graphs. - Ornela Dardha, Jorge A. Pérez:
Comparing Type Systems for Deadlock-Freedom. - Xingbo Liu, Xiushan Nie, Yilong Yin:
Fusion Hashing: A General Framework for Self-improvement of Hashing. - Laurent Orgogozo, Prokushkin Prokushkin, Oleg S. Pokrovsky, Christophe Grenier, Michel Quintard, Jerome Viers, Stéphane Audry:
Numerical investigation of evapotranspiration processes in a forested watershed of Central Siberia. - Iñaki San Vicente, Xabier Saralegi, Rodrigo Agerri:
Talaia: a Real time Monitor of Social Media and Digital Press. - Patrick Schwab, Lorenz Linhardt, Walter Karlen:
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks. - Sina Ahmadi:
Attention-based Encoder-Decoder Networks for Spelling and Grammatical Error Correction. - Ganji Sreeram, Kunal Dhawan, Rohit Sinha:
Hindi-English Code-Switching Speech Corpus. - Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez, Kevin Chen, Juan Carlos Niebles, Alvaro Soto, Silvio Savarese:
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation. - Omid Shahmirzadi, Adam Lugowski, Kenneth Younge:
Text Similarity in Vector Space Models: A Comparative Study. - Sudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel:
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection. - Shahab Jalalvand, Andrej Ljolje, Srinivas Bangalore:
Automatic Data Expansion for Customer-care Spoken Language Understanding. - Hui Su, Xiaoyu Shen, Wenjie Li, Dietrich Klakow:
NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation. - Robert Cimrman, Vladimír Lukes, Eduard Rohan:
Multiscale finite element calculations in Python using SfePy. - Rasool Fakoor, Amanjit Kainth, Siamak Shakeri, Christopher Winestock, Abdel-rahman Mohamed, Ruhi Sarikaya:
Direct optimization of F-measure for retrieval-based personal question answering. - Wasi Uddin Ahmad, Xueying Bai, Nanyun Peng, Kai-Wei Chang:
Learning Robust, Transferable Sentence Representations for Text Classification. - Kuang Zhou, Arnaud Martin, Quan Pan:
A belief combination rule for a large number of sources. - Inyong Yun, Cheolkon Jung, Xinran Wang, Alfred O. Hero III, Joongkyu Kim:
Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment. - Fabio Massimo Zennaro, Magdalena Ivanovska:
Counterfactually Fair Prediction Using Multiple Causal Models. - Bryce Doerr, Richard Linares, Pingping Zhu, Silvia Ferrari:
Random Finite Set Theory and Optimal Control for Large Spacecraft Swarms. - Ye Yuan, Xiuchuan Tang, Wei Pan, Xiuting Li, Wei Zhou, Hai-Tao Zhang, Han Ding, Jorge M. Gonçalves:
Data-driven Discovery of Cyber-Physical Systems. - Rahul Arora, Alec Jacobson, Timothy R. Langlois, Yijiang Huang, Caitlin Tobin Mueller, Wojciech Matusik, Ariel Shamir, Karan Singh, David I. W. Levin:
Designing Volumetric Truss Structures. - Siu-Wing Cheng, Man-Kit Lau:
Adaptive Planar Point Location. - Seyed Amin Fadaee, Maryam Amir Haeri:
Classification Using Link Prediction. - Tao Jiang, Yuanming Shi, Jun Zhang, Khaled Ben Letaief:
Joint Activity Detection and Channel Estimation for IoT Networks: Phase Transition and Computation-Estimation Tradeoff. - Thorbjörn Posewsky, Daniel Ziener:
Throughput Optimizations for FPGA-based Deep Neural Network Inference. - Josep Silva:
Pre-proceedings of the 26th International Workshop on Functional and Logic Programming (WFLP 2018). - Thomas Schöps, Torsten Sattler, Marc Pollefeys:
SurfelMeshing: Online Surfel-Based Mesh Reconstruction. - Eduard Eiben, Carl Feghali:
Towards Cereceda's conjecture for planar graphs. - Simone Bianco, Rémi Cadène, Luigi Celona, Paolo Napoletano:
Benchmark Analysis of Representative Deep Neural Network Architectures. - Adrian Rivera Cardoso, Huan Xu:
Risk-Averse Stochastic Convex Bandit. - Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft:
Improving the Generalization of Adversarial Training with Domain Adaptation. - Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. - Vasile Patrascu:
Shannon Entropy for Neutrosophic Information. - Zahra Vahidi Ferdousi, Dario Colazzo, Elsa Negre:
CBPF: leveraging context and content information for better recommendations. - Tao Zhang, Quanyan Zhu:
A Game-Theoretic Foundation of Deception: Knowledge Acquisition and Fundamental Limits. - Gary Bécigneul, Octavian-Eugen Ganea:
Riemannian Adaptive Optimization Methods. - Suthee Ruangwises, Toshiya Itoh:
AND Protocols Using Only Uniform Shuffles. - Flavien Deschaux, Frédéric Gouaisbaut, Yassine Ariba:
Nonlinear control for an uncertain electromagnetic actuator. - Theofrastos Mantadelis, Stefano Bistarelli:
A Preliminary Report on Probabilistic Attack Normal Form for Constellation Semantics. - Riccardo Giambona, Alessandro E. C. Redondi, Matteo Cesana:
MQTT+: Enhanced Syntax and Broker Functionalities for Data Filtering, Processing and Aggregation. - Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov, Benjamin J. Puttnam, Georg Rademacher, Ruben S. Luis, Darko Zibar:
Geometric Constellation Shaping for Fiber Optic Communication Systems via End-to-end Learning. - Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka:
Human Motion Prediction using Adaptable Neural Networks. - Filip Ilievski, Eduard H. Hovy, Qizhe Xie, Piek Vossen:
The Profiling Machine: Active Generalization over Knowledge. - Marthe Bonamy, Oscar Defrain, Marc Heinrich, Jean-Florent Raymond:
Enumerating minimal dominating sets in triangle-free graphs. - Vincent Lostanlen:
Eigentriads and Eigenprogressions on the Tonnetz. - Ivor van der Hoog, Marc J. van Kreveld, Wouter Meulemans, Kevin Verbeek, Jules Wulms:
Topological Stability of Kinetic k-Centers. - Bo Jiang, Doudou Lin, Jin Tang:
Graph Diffusion-Embedding Networks. - David Landsberg, Earl T. Barr:
Doric: Foundations for Statistical Fault Localisation. - Yiannis Giannakopoulos, Keyu Zhu:
Optimal Pricing For MHR Distributions. - Yen-Ling Kuo, Andrei Barbu, Boris Katz:
Deep sequential models for sampling-based planning. - Max Schwarz, Anton Milan, Arul Selvam Periyasamy, Sven Behnke:
RGB-D Object Detection and Semantic Segmentation for Autonomous Manipulation in Clutter. - Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine:
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow. - Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh:
Set Transformer. - Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka:
How Powerful are Graph Neural Networks? - Madhusanka Liyanage, Pawani Porambage, Aaron Yi Ding:
Five Driving Forces of Multi-Access Edge Computing. - Ran Tian, Sisi Li, Nan Li, Ilya V. Kolmanovsky, Anouck Girard, Yildiray Yildiz:
Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts. - Tuan Do, Nikhil Krishnaswamy, Kyeongmin Rim, James Pustejovsky:
Multimodal Interactive Learning of Primitive Actions. - Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin E. Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz:
CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs. - Yu-Guan Hsieh, Gang Niu, Masashi Sugiyama:
Classification from Positive, Unlabeled and Biased Negative Data. - Borja Martínez, Ferran Adelantado, Andrea Bartoli, Xavier Vilajosana:
Exploring the Performance Boundaries of NB-IoT. - Marc Aubreville, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier:
Augmented Mitotic Cell Count using Field Of Interest Proposal. - Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. - Yu Bai, Yu-Xiang Wang, Edo Liberty:
ProxQuant: Quantized Neural Networks via Proximal Operators. - Lingwei Xie, Song He, Shu Yang, Boyuan Feng, Kun Wan, Zhongnan Zhang, Xiaochen Bo, Yufei Ding:
Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds. - Yong Wang:
Truly Concurrent Process Algebra Is Reversible. - Andrew Slavin Ross:
Training Machine Learning Models by Regularizing their Explanations. - Fakrul Islam Tushar:
Automatic Skin Lesion Segmentation Using GrabCut in HSV Colour Space. - Javier Burroni, Guillaume Baudart, Louis Mandel, Martin Hirzel, Avraham Shinnar:
Extending Stan for Deep Probabilistic Programming. - Matthew Delacorte:
Solving 3SAT By Reduction To Testing For Odd Hole. - Matthew Delacorte:
Graph Isomorphism by Conversion to Chordal (6, 3) Graphs. - Quan Geng, Wei Ding, Ruiqi Guo, Sanjiv Kumar:
Truncated Laplacian Mechanism for Approximate Differential Privacy. - Rahman Lavaee, John Criswell, Chen Ding:
Codestitcher: Inter-Procedural Basic Block Layout Optimization. - Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh:
Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition. - Humaira Farid, Volker Haarslev:
Handling Nominals and Inverse Roles using Algebraic Reasoning. - Long Kong, Satyanarayana Vuppala, Georges Kaddoum:
Secrecy Analysis of Random MIMO Wireless Networks over α-μ Fading Channels. - Matthieu Riou, Bassam Jabaian, Stéphane Huet, Fabrice Lefèvre:
Joint On-line Learning of a Zero-shot Spoken Semantic Parser and a Reinforcement Learning Dialogue Manager. - Alessandro Piscopo:
Wikidata: A New Paradigm of Human-Bot Collaboration? - Seiji Maekawa, Koh Takeuchi, Makoto Onizuka:
Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning. - Philipp Allgeuer, Grzegorz Ficht, Hafez Farazi, Michael Schreiber, Sven Behnke:
First International HARTING Open Source Prize Winner: The igus Humanoid Open Platform. - Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak:
Omega-Regular Objectives in Model-Free Reinforcement Learning. - Jared Roesch, Steven Lyubomirsky, Logan Weber, Josh Pollock, Marisa Kirisame, Tianqi Chen, Zachary Tatlock:
Relay: A New IR for Machine Learning Frameworks. - (Withdrawn) Improved robustness to adversarial examples using Lipschitz regularization of the loss.
- Zach Wood-Doughty, Ilya Shpitser, Mark Dredze:
Challenges of Using Text Classifiers for Causal Inference. - Marcin Niemiec:
Error correction in quantum cryptography based on artificial neural networks. - Konstantinos Koufos, Carl P. Dettmann:
Performance of a Link in a Field of Vehicular Interferers with Hardcore Headway Distance. - Radoslaw A. Kycia, Z. Tabor:
Natural measures of alignment. - Santosh Balajee Banisetty, David Feil-Seifer:
Towards a Unified Planner For Socially-Aware Navigation. - Nithya Attaluri, Ahmed Nasir, Carolynne Powe, Harold Racz, Ben Covington, Li Yao, Jordan Prosky, Eric Poblenz, Tobi Olatunji, Kevin Lyman:
Efficient and Accurate Abnormality Mining from Radiology Reports with Customized False Positive Reduction. - Aysenur Bilgin, Laura Hollink, Jacco van Ossenbruggen, Erik Tjong Kim Sang, Kim Smeenk, Frank Harbers, Marcel Broersma:
Utilizing a Transparency-driven Environment toward Trusted Automatic Genre Classification: A Case Study in Journalism History. - Shahan Ali Memon, Wenbo Zhao, Bhiksha Raj, Rita Singh:
Neural Regression Trees. - Paul Liu, Austin R. Benson, Moses Charikar:
A sampling framework for counting temporal motifs. - Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Inertial-aided Motion Deblurring with Deep Networks. - Yuquan Shan, George Kesidis, Bhuvan Urgaonkar, Jörg Schad, Jalal Khamse-Ashari, Ioannis Lambadaris:
Heterogeneous MacroTasking (HeMT) for Parallel Processing in the Public Cloud. - Peter L. Bartlett, Victor Gabillon, Michal Valko:
A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption. - Yijiang Huang, Caelan Reed Garrett, Caitlin Tobin Mueller:
Automated motion planning for robotic assembly of discrete architectural structures. - Stuart Reeves:
How UX Practitioners Produce Findings in Usability Testing. - Martin Loncaric, Bowei Liu, Ryan Weber:
Learning Hash Codes via Hamming Distance Targets. - Shing Yan Loo, Ali Jahani Amiri, Syamsiah Mashohor, Sai Hong Tang, Hong Zhang:
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction. - Rahul Pandey, Hemant Purohit, Bonnie Stabile, Aubrey Grant:
Distributional Semantics Approach to Detect Intent in Twitter Conversations on Sexual Assaults. - Rahul Pandey, Hemant Purohit, Jennifer Lisa Chan, Aditya Johri:
AI for Trustworthiness! Credible User Identification on Social Web for Disaster Response Agencies. - Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Siddhartha S. Srinivasa:
Bayesian Policy Optimization for Model Uncertainty. - Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III:
Convergence Rates for Empirical Estimation of Binary Classification Bounds. - Chamila Wijayarathna, Nalin Asanka Gamagedara Arachchilage:
Fighting Against XSS Attacks: A Usability Evaluation of OWASP ESAPI Output Encoding. - Zhezhi He, Deliang Fan:
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation. - Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
Large batch size training of neural networks with adversarial training and second-order information. - Jingkang Wang, Yang Liu, Bo Li:
Reinforcement Learning with Perturbed Rewards. - Jesus Tordesillas, Brett Thomas Lopez, John Carter, John Ware, Jonathan P. How:
Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments. - Reymundo A. Gutierrez, Elaine Schaertl Short, Scott Niekum, Andrea Lockerd Thomaz:
Towards Online Learning from Corrective Demonstrations. - Jialin Qiao, Xiangdong Huang, Lei Rui, Jianmin Wang:
Heterogeneous Replica for Query on Cassandra. - Ashish Goel, Anilesh Kollagunta Krishnaswamy:
Implementing the Lexicographic Maxmin Bargaining Solution. - Ang Li, David Darling, Qinghua Li:
PhotoSafer: Content-Based and Context-Aware Private Photo Protection for Smartphones. - Ang Li, Wei Du, Qinghua Li:
Privacy-Preserving Outsourcing of Large-Scale Nonlinear Programming to the Cloud. - Hu Ding, Jinhui Xu:
A Unified Framework for Clustering Constrained Data without Locality Property. - Parth Shah, Rachana Oza:
Improved Parallel Rabin-Karp Algorithm Using Compute Unified Device Architecture. - Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu, Daniela Rus, Wojciech Matusik:
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics. - Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang:
Super-Resolution Blind Channel-and-Signal Estimation for Massive MIMO with Arbitrary Array Geometry. - Shuai Tang, Virginia R. de Sa:
Improving Sentence Representations with Multi-view Frameworks. - Zhengyi Luo, Austin Small, Liam Dugan, Stephen Lane:
Cloud Chaser: Real Time Deep Learning Computer Vision on Low Computing Power Devices. - Kazutaka Kurihara, Nobuhiro Doi:
GameControllerizer: Middleware to Program Inputs for Augmenting Digital Games. - Manas Jyoti Kashyop, N. S. Narayanaswamy:
Fully dynamic 3/2 approximate maximum cardinality matching in O(sqrt{n}) update time. - Chakkrit Termritthikun, Surachet Kanprachar, Paisarn Muneesawang:
NU-LiteNet: Mobile Landmark Recognition using Convolutional Neural Networks. - Charles H. Martin, Michael W. Mahoney:
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning. - Jinwook Jung, Iris Hui-Ru Jiang, Jianli Chen, Shih-Ting Lin, Yih-Lang Li, Victor N. Kravets, Gi-Joon Nam:
DATC RDF: An Open Design Flow from Logic Synthesis to Detailed Routing. - Thach V. Bui, Minoru Kuribayashi, Mahdi Cheraghchi, Isao Echizen:
A framework for generalized group testing with inhibitors and its potential application in neuroscience. - Sinem Aslan, Sebastiano Vascon, Marcello Pelillo:
Ancient Coin Classification Using Graph Transduction Games. - Ashish Goel, Reyna Hulett, Anilesh Kollagunta Krishnaswamy:
Relating Metric Distortion and Fairness of Social Choice Rules. - Ahmad Yousef Alhilal, Tristan Braud, Pan Hui:
Future Architecture of the Interplanetary Internet. - Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Quantization-Aware Phase Retrieval. - Yang Zhong, Vladimir Li, Ryuzo Okada, Atsuto Maki:
Target Aware Network Adaptation for Efficient Representation Learning. - Thomas Attema, Emiliano Mancini, Gabriele Spini, Mark Abspoel, Jan de Gier, Serge Fehr, Thijs Veugen, Maran van Heesch, Daniël Worm, Andrea De Luca, Ronald Cramer, Peter M. A. Sloot:
A New Approach to Privacy-Preserving Clinical Decision Support Systems for HIV Treatment. - Subhajit Chaudhury, Daiki Kimura, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana:
Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation. - Andrey Ignatov, Radu Timofte, William Chou, Ke Wang, Max Wu, Tim Hartley, Luc Van Gool:
AI Benchmark: Running Deep Neural Networks on Android Smartphones. - Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
The Dreaming Variational Autoencoder for Reinforcement Learning Environments. - Marlo Häring, Wiebke Loosen, Walid Maalej:
Who is Addressed in this Comment? Automatically Classifying Meta-Comments in News Comments. - P. Balasubramanian:
Performance Comparison of some Synchronous Adders. - Giorgio Patrini, Marcello Carioni, Patrick Forré, Samarth Bhargav, Max Welling, Rianne van den Berg, Tim Genewein, Frank Nielsen:
Sinkhorn AutoEncoders. - Martin Klauco, Lubos Cirka:
Non-linear Model Predictive Control of Conically Shaped Liquid Storage Tanks. - Paolo Pagliuca, Stefano Nolfi:
Robust Optimization through Neuroevolution. - Andrea E. Martin, Leonidas A. A. Doumas:
Predicate learning in neural systems: Discovering latent generative structures. - Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar:
Time Reversal as Self-Supervision. - Bart M. P. Jansen, Marcin Pilipczuk, Erik Jan van Leeuwen:
A deterministic polynomial kernel for Odd Cycle Transversal and Vertex Multiway Cut in planar graphs. - Kevin Klaiber, Sebastian Cammerer, Laurent Schmalen, Stephan ten Brink:
Avoiding Burst-like Error Patterns in Windowed Decoding of Spatially Coupled LDPC Codes. - Javier Verdú, Juan José Costa, Beatriz Otero, Eva Rodríguez, Alex Pajuelo, Ramon Canal:
Platform-Agnostic Steal-Time Measurement in a Guest Operating System. - Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Training compact deep learning models for video classification using circulant matrices. - Takayuki Ishizaki, Takahiro Kawaguchi, Hampei Sasahara, Jun-ichi Imura:
Retrofit Control with Approximate Environment Modeling. - Francis Engelmann, Theodora Kontogianni, Jonas Schult, Bastian Leibe:
Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds. - Pingbo Pan, Yan Yan, Tianbao Yang, Yi Yang:
Learning Discriminators as Energy Networks in Adversarial Learning. - Arsham Mostaani, Osvaldo Simeone:
On Learning How to Communicate Over Noisy Channels for Collaborative Tasks. - Ishtiaq Ahmad, Zeeshan Kaleem, KyungHi Chang:
Block Error Rate and UE Throughput Performance Evaluation using LLS and SLS in 3GPP LTE Downlink. - Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty:
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images. - Tao Li, Xudong Liu, Shihan Su:
Semi-supervised Text Regression with Conditional Generative Adversarial Networks. - Ondrej Dusek, Jekaterina Novikova, Verena Rieser:
Findings of the E2E NLG Challenge. - Yousef AlNagar, Sameh Hosny, Amr A. El-Sherif:
Towards Mobility-Aware Proactive Caching for Vehicular Ad hoc Networks. - Pierre Bénard, Aaron Hertzmann:
Line Drawings from 3D Models. - Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song:
EMI: Exploration with Mutual Information Maximizing State and Action Embeddings. - Alexandru Constantin Serban, Erik Poll:
Adversarial Examples - A Complete Characterisation of the Phenomenon. - Wang Chi Cheung, Vincent Y. F. Tan, Zixin Zhong:
Thompson Sampling for Cascading Bandits. - Yura Perov:
Inference Over Programs That Make Predictions. - Sebastiano Vascon, Ylenia Parin, Eis Annavini, Mattia D'Andola, Davide Zoccolan, Marcello Pelillo:
Characterization of Visual Object Representations in Rat Primary Visual Cortex. - John D. Martin, Jinkun Wang, Brendan J. Englot:
Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation. - Yulin Shao, Soung Chang Liew, Taotao Wang:
AlphaSeq: Sequence Discovery with Deep Reinforcement Learning. - Aloïs Pourchot, Olivier Sigaud:
CEM-RL: Combining evolutionary and gradient-based methods for policy search. - Max A. Deppert, Klaus Jansen:
Near-Linear Approximation Algorithms for Scheduling Problems with Batch Setup Times. - Bhaskar Ray Chaudhury, Kurt Mehlhorn:
Combinatorial Algorithms for General Linear Arrow-Debreu Markets. - Karl Bringmann, Bhaskar Ray Chaudhury:
Sketching, Streaming, and Fine-Grained Complexity of (Weighted) LCS. - Rémi Sainct, Cyril Feau, Jean-Marc Martinez, Josselin Garnier:
Efficient Seismic fragility curve estimation by Active Learning on Support Vector Machines. - Xutan Peng, Chen Li, Zhi Cai, Faqiang Shi, Yidan Liu, Jianxin Li:
A Lightweight Music Texture Transfer System. - Paolo Pistone:
Proof nets, coends and the Yoneda isomorphism. 148-167 - Guanxiong Zeng, Yang Chen, Bo Cui, Shan Yu:
Continuous Learning of Context-dependent Processing in Neural Networks. - Ofir Nachum, Shixiang Gu, Honglak Lee, Sergey Levine:
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning. - Arjun Sharma, Mohit Sharma, Nicholas Rhinehart, Kris M. Kitani:
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information. - Yash Sharma, Tien-Dung Le, Moustafa Alzantot:
CAAD 2018: Generating Transferable Adversarial Examples. - Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti, Tsang Ing Ren:
META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning. - Jing Zhang, Yonggong Ren:
Marrying Tracking with ELM: A Metric Constraint Guided Multiple Feature Fusion Method. - Philip Feldman, Aaron Dant, Wayne G. Lutters:
Disrupting the Coming Robot Stampedes: Designing Resilient Information Ecologies. - Xuanqing Liu, Yao Li, Chongruo Wu, Cho-Jui Hsieh:
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network. - Ronghua Xu, Yu Chen, Erik Blasch, Genshe Chen:
An Exploration of Blockchain Enabled Decentralized Capability based Access Control Strategy for Space Situation Awareness. - Ashish Ranjan Hota, Shreyas Sundaram:
Game-Theoretic Choice of Curing Rates Against Networked SIS Epidemics by Human Decision-Makers. - Paolo Bestagini, Federico Lombardi, Maurizio Lualdi, Francesco Picetti, Stefano Tubaro:
Landmine Detection Using Autoencoders on Multi-polarization GPR Volumetric Data. - Léonard Blier, Pierre Wolinski, Yann Ollivier:
Learning with Random Learning Rates. - Sandra Aigner, Marco Körner:
FutureGAN: Anticipating the Future Frames of Video Sequences using Spatio-Temporal 3d Convolutions in Progressively Growing Autoencoder GANs. - Alban Laflaquière:
Unsupervised Emergence of Spatial Structure from Sensorimotor Prediction. - Max Schwarz, Tobias Rodehutskors, David Droeschel, Marius Beul, Michael Schreiber, Nikita Araslanov, Ivan Ivanov, Christian Lenz, Jan Razlaw, Sebastian Schüller, David Schwarz, Angeliki Topalidou-Kyniazopoulou, Sven Behnke:
NimbRo Rescue: Solving Disaster-Response Tasks through Mobile Manipulation Robot Momaro. - Young-Hee Lee, Chen Zhu, Gabriele Giorgi, Christoph Günther:
Fusion of Monocular Vision and Radio-based Ranging for Global Scale Estimation and Drift Mitigation. - Pierre Ganty, Elena Gutiérrez:
The Parikh Property for Weighted Context-Free Grammars. - Luisa Carracciuolo, Emil M. Constantinescu, Luisa D'Amore:
Validation of a PETSc based software implementing a 4DVAR Data Assimilation algorithm: a case study related with an Oceanic Model based on Shallow Water equation. - Rui Zhao, Volker Tresp:
Energy-Based Hindsight Experience Prioritization. - Ting Chen, Mario Lucic, Neil Houlsby, Sylvain Gelly:
On Self Modulation for Generative Adversarial Networks. - Will Grathwohl, Ricky T. Q. Chen, Jesse Bettencourt, Ilya Sutskever, David Duvenaud:
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models. - Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong:
Semi-dense Stereo Matching using Dual CNNs. - Rui Zhao, Volker Tresp:
Efficient Dialog Policy Learning via Positive Memory Retention. - Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong:
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. - Ali Emami, Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
A Knowledge Hunting Framework for Common Sense Reasoning. - Argyrios Deligkas, John Fearnley, Themistoklis Melissourgos, Paul G. Spirakis:
Approximating the Existential Theory of the Reals. - Jonathan Le Roux, Gordon Wichern, Shinji Watanabe, Andy M. Sarroff, John R. Hershey:
Phasebook and Friends: Leveraging Discrete Representations for Source Separation. - Sara Sabour, William Chan, Mohammad Norouzi:
Optimal Completion Distillation for Sequence Learning. - Joseph Tassarotti, Jean-Baptiste Tristan, Michael L. Wick:
Sketching for Latent Dirichlet-Categorical Models. - Shubhomoy Das, Janardhan Rao Doppa:
GLAD: GLocalized Anomaly Detection via Active Feature Space Suppression. - Ke Li, Shichong Peng, Jitendra Malik:
Super-Resolution via Conditional Implicit Maximum Likelihood Estimation. - Saeed Mahloujifar, Mohammad Mahmoody:
Can Adversarially Robust Learning Leverage Computational Hardness? - Thomas Voice, Abuthahir, Gaurav Raina:
Global stability of the Rate Control Protocol (RCP) and some implications for protocol design. - George T. Cantwell, M. E. J. Newman:
Mixing patterns and individual differences in networks. - Cheng Wan, Paulin Jacquot, Olivier Beaude, Nadia Oudjane:
Efficient Estimation of Equilibria of Large Congestion Games with Heterogeneous Players. - I-Lun Tseng, Yongfu Li, Valerio Perez, Vikas Tripathi, Zhao Chuan Lee, Yoong Seang Jonathan Ong:
An Automated System for Checking Lithography Friendliness of Standard Cells. - A. J. Piergiovanni, Michael S. Ryoo:
Representation Flow for Action Recognition. - Christopher Griffin, Brady Bickel:
Unsupervised Machine Learning of Open Source Russian Twitter Data Reveals Global Scope and Operational Characteristics. - Gaurav Singh, James Thomas, Iain James Marshall, John Shawe-Taylor, Byron C. Wallace:
Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding. - David Landry, François Pomerleau, Philippe Giguère:
CELLO-3D: Estimating the Covariance of ICP in the Real World. - Philippe Babin, Philippe Giguère, François Pomerleau:
Analysis of Robust Functions for Registration Algorithms. - Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, S. V. N. Vishwanathan:
Adaptive, Personalized Diversity for Visual Discovery. - Julia Kreutzer, Artem Sokolov:
Learning to Segment Inputs for NMT Favors Character-Level Processing. - Houssam Nassif, Kemal Oral Cansizlar, Mitchell Goodman, S. V. N. Vishwanathan:
Diversifying Music Recommendations. - Evandro C. Ferraz, Jeferson de Lima Muniz, Alexandre C. R. da Silva, Gerhard W. Dueck:
Synthesis of Majority Expressions through Primitive Function Manipulation. - Paul Liu, Jan Vondrák:
Submodular Optimization in the MapReduce Model. - Pepe Vila, Boris Köpf, José Francisco Morales:
Theory and Practice of Finding Eviction Sets. - Derrik E. Asher, Justine Caylor, Casey Doyle, Alexis R. Neigel, György Korniss, Boleslaw K. Szymanski:
Opinion Formation Threshold Estimates from Different Combinations of Social Media Data-Types. - Alisa Kovtunova, Rafael Peñaloza:
Cutting Diamonds: Temporal DLs with Probabilistic Distributions over Data. - Hamed Zamani, Markus Schedl, Paul Lamere, Ching-Wei Chen:
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation. - (Withdrawn) Harnessing Correlations in Distributed Erasure Coded Key-Value Stores.
- Mel Vecerík, Oleg Sushkov, David Barker, Thomas Rothörl, Todd Hester, Jonathan Scholz:
A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning. - Jing Zhong, Roy D. Yates, Emina Soljanin:
Timely Lossless Source Coding for Randomly Arriving Symbols. - Julio A. Reyes-Munoz, Michael P. McGarry:
The Effect of Data Marshalling on Computation Offloading Decisions. - Mihai Boicu, Dorin Marcu, Gheorghe Tecuci, Lou Kaiser, Chirag Uttamsingh, Navya Kalale:
Co-Arg: Cogent Argumentation with Crowd Elicitation. - Walter Kern, Daniël Paulusma:
Contracting to a Longest Path in H-Free Graphs. - Jungseock Joo, Zachary C. Steinert-Threlkeld:
Image as Data: Automated Visual Content Analysis for Political Science. - Nina Amenta, Carlos Rojas:
Dihedral Rigidity and Deformation. - Nasheen Nur, Wenwen Dou, Xi Niu, Siddharth Krishnan, Noseong Park:
GI-OHMS: Graphical Inference to Detect Overlapping Communities. - Anselme Ndikumana, Nguyen Hoang Tran, Choong Seon Hong:
Deep Learning Based Caching for Self-Driving Car in Multi-access Edge Computing. - David Dice, Alex Kogan:
BRAVO - Biased Locking for Reader-Writer Locks. - Debarpita Santra, Swapan Kumar Basu, Jyotsna Kumar Mandal, Subrata Goswami:
Rough set based lattice structure for knowledge representation in medical expert systems: low back pain management case study. - Silvia Joseph, Irwandi Hipiny, Hamimah Ujir:
Performance Evaluation of SIFT Descriptor against Common Image Deformations on Iban Plaited Mat Motifs. - Faustine John, Irwandi Hipiny, Hamimah Ujir, Mohd Shahrizal Sunar:
Assessing Performance of Aerobic Routines using Background Subtraction and Intersected Image Region. - Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba:
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids. - Dania Elzouki, Sorina Dumitrescu, Jun Chen:
Lattice-based Robust Distributed Source Coding. - Kaung Khin, Philipp Burckhardt, Rema Padman:
A Deep Learning Architecture for De-identification of Patient Notes: Implementation and Evaluation. - Ken Goss, Wei Jiang:
Distributing and Obfuscating Firewalls via Oblivious Bloom Filter Evaluation. - Dave Dice, Alex Kogan:
TWA - Ticket Locks Augmented with a Waiting Array. - Omid Poursaeed, Guandao Yang, Aditya Prakash, Qiuren Fang, Hanqing Jiang, Bharath Hariharan, Serge J. Belongie:
Deep Fundamental Matrix Estimation without Correspondences. - Md Salman Nazir, Ian A. Hiskens:
A Dynamical Systems Approach to Modeling and Analysis of Transactive Energy Coordination. - Morit Zwang, Shahar Somin, Alex 'Sandy' Pentland, Yaniv Altshuler:
Detecting Bot Activity in the Ethereum Blockchain Network. - Sadegh M. Milajerdi, Rigel Gjomemo, Birhanu Eshete, R. Sekar, V. N. Venkatakrishnan:
HOLMES: Real-time APT Detection through Correlation of Suspicious Information Flows. - Duanshun Li, Chen Feng:
Primitive Fitting Using Deep Boundary Aware Geometric Segmentation. - Jorge E. Hirsch:
hα: An index to quantify an individual's scientific leadership. - Sungeun Hong, Wonjin Jung, Ilsang Woo, Seung Wook Kim:
Cascaded Pyramid Network for 3D Human Pose Estimation Challenge. - Johann Laconte, Simon-Pierre Deschênes, Mathieu Labussière, François Pomerleau:
Lidar Measurement Bias Estimation via Return Waveform Modelling in a Context of 3D Mapping. - Wendi Xu, Ming Zhang:
Towards WARSHIP: Combining Components of Brain-Inspired Computing of RSH for Image Super Resolution. - Bilwaj Gaonkar, Alex A. T. Bui, Matthew Brown, Luke Macyszyn:
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan? - Wendi Xu, Ming Zhang:
Theory of Generative Deep Learning : Probe Landscape of Empirical Error via Norm Based Capacity Control. - Kyoomars Alizadeh Noghani, Hakim Ghazzai, Andreas Kassler:
A Generic Framework for Task Offloading in mmWave MEC Backhaul Networks. - Marcell János Uray:
Algebraic number fields and the LLL algorithm. - Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin:
Optimization Algorithm Inspired Deep Neural Network Structure Design. - Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. - Shaohua Li, Kaiping Xue:
SecGrid: A Secure and Efficient SGX-enabled Smart Grid System with Rich Functionalities. - Phuong Le-Hong, Anh-Cuong Le:
A Comparative Study of Neural Network Models for Sentence Classification. - Vasilios Mavroudis, Petr Svenda:
Towards Low-level Cryptographic Primitives for JavaCards. - Lukas Hoyer, Christoph Steup, Sanaz Mostaghim:
A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation. - Mathieu Labussière, Johann Laconte, François Pomerleau:
Geometry Preserving Sampling Method based on Spectral Decomposition for 3D Registration. - Jan Studený, Przemyslaw Uznanski:
Approximating Approximate Pattern Matching. - Mehmet Emin Köroglu:
New entanglement-assisted MDS quantum codes from constacyclic codes. - Alejandro Z. Tomsic, Manuel Bravo, Marc Shapiro:
Distributed transactional reads: the strong, the quick, the fresh & the impossible. - Aggelos Kiayias, Benjamin Livshits, Andrés Monteoliva Mosteiro, Orfeas Stefanos Thyfronitis Litos:
A Puff of Steem: Security Analysis of Decentralized Content Curation. - Surender Baswana, Shiv Kumar Gupta, Ayush Tulsyan:
Fault Tolerant and Fully Dynamic DFS in Undirected Graphs: Simple Yet Efficient. - Ben Chugg, Takanori Maehara:
Submodular Stochastic Probing with Prices. - Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C. Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko, Xuyang Guo, Hong Hanh Nguyen, Andrew Howard, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Alexander Kondratyev, Seungjae Lee, Suwoong Lee, Junhyeok Lee, Zhiyu Liang, Xin Liu, Juzheng Liu, Zichao Li, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Eunbyung Park, Denis Repin, Tao Sheng, Liang Shen, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo:
2018 Low-Power Image Recognition Challenge. - Alessio Tonioni, Eugenio Serra, Luigi Di Stefano:
A deep learning pipeline for product recognition on store shelves. - Ravi Kashyap:
Auction Theory Extensions for Real Life Applications. - Pietro Verzelli, Lorenzo Livi, Cesare Alippi:
A characterization of the Edge of Criticality in Binary Echo State Networks. - Qianzhi Zhang, Kaveh Dehghanpour, Zhaoyu Wang:
Reinforcement Learning for Model-Free Power Management of Networked Microgrids. - Andrzej Kaczmarczyk, Piotr Faliszewski:
Algorithms for Destructive Shift Bribery. - Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, James R. Glass, Preslav Nakov:
Predicting Factuality of Reporting and Bias of News Media Sources. - Elham Saraee, Mona Jalal, Margrit Betke:
SAVOIAS: A Diverse, Multi-Category Visual Complexity Dataset. - Renjie Chen, Craig Gotsman:
Efficient Fastest-Path Computations in Road Maps. - James Usevitch, Dimitra Panagou:
Determining r-Robustness of Arbitrary Digraphs Using Zero-One Linear Integer Programming. - John Iacono, Stefan Langerman:
Weighted dynamic finger in binary search trees. - Paul C. Bell, Igor Potapov:
Towards Uniform Online Spherical Tessellations. - Anil Koyuncu, Kui Liu, Tegawendé F. Bissyandé, Dongsun Kim, Jacques Klein, Martin Monperrus, Yves Le Traon:
FixMiner: Mining Relevant Fix Patterns for Automated Program Repair. - Tiantu Xu, Luis Materon Botelho, Felix Xiaozhu Lin:
Reinventing Data Stores for Video Analytics. - Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam:
Disambiguating Music Artists at Scale with Audio Metric Learning. - Bailin Wang, Wei Lu, Yu Wang, Hongxia Jin:
A Neural Transition-based Model for Nested Mention Recognition. - Johes Bater, Xi He, William Ehrich, Ashwin Machanavajjhala, Jennie Rogers:
Shrinkwrap: Differentially-Private Query Processing in Private Data Federations. - Bailin Wang, Wei Lu:
Neural Segmental Hypergraphs for Overlapping Mention Recognition. - Masayuki Tanaka:
Weighted Sigmoid Gate Unit for an Activation Function of Deep Neural Network. - Kangfu Mei, Aiwen Jiang, Juncheng Li, Jihua Ye, Mingwen Wang:
An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks. - Sariel Har-Peled, Saladi Rahul:
Two (Known) Results About Graphs with No Short Odd Cycles. - D. Ellis Hershkowitz, Gregory Kehne:
Reverse Greedy is Bad for k-Center. - Lex Fridman:
Human-Centered Autonomous Vehicle Systems: Principles of Effective Shared Autonomy. - Roberto Alonso, Stephan Günnemann:
Mining Contrasting Quasi-Clique Patterns. - Daniele Pizzolli, Giuseppe Cossu, Daniele Santoro, Luca Capra, Corentin Dupont, Dukas Charalampos, Francesco De Pellegrini, Fabio Antonelli, Silvio Cretti:
Cloud4IoT: a heterogeneous, distributed and autonomic cloud platform for the IoT. - Dafni Antotsiou, Guillermo Garcia-Hernando, Tae-Kyun Kim:
Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation. - Sudeep Pillai, Rares Ambrus, Adrien Gaidon:
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. - Ahmad Alsharif, Mahmoud Nabil, Samet Tonyali, Hawzhin Mohammed, Mohamed Mahmoud, Kemal Akkaya:
EPIC: Efficient Privacy-Preserving Scheme with E2E Data Integrity and Authenticity for AMI Networks. - Neela Sawant, Chitti Babu Namballa, Narayanan Sadagopan, Houssam Nassif:
Contextual Multi-Armed Bandits for Causal Marketing. - Luke Nicholas Darlow, Amos J. Storkey:
GINN: Geometric Illustration of Neural Networks. - Marcin Mozejko, Mateusz Susik, Rafal Karczewski:
Inhibited Softmax for Uncertainty Estimation in Neural Networks. - Steve Hanneke, Aryeh Kontorovich, Menachem Sadigurschi:
Agnostic Sample Compression for Linear Regression. - Federico Pittino, Roberto Diversi, Luca Benini, Andrea Bartolini:
Robust online identification of thermal models for in-production HPC clusters with machine learning-based data selection. - Alban Laflaquière, Alexander V. Terekhov, Bruno Gas, J. Kevin O'Regan:
Learning an internal representation of the end-effector configuration space. - Alban Laflaquière, Sylvain Argentieri, Olivia Breysse, Stéphane Genet, Bruno Gas:
A Non-linear Approach to Space Dimension Perception by a Naive Agent. - Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek:
Deep processing of structured data. - David Noever:
Machine Learning Suites for Online Toxicity Detection. - Alban Laflaquière, Nikolas Hemion, Michaël Garcia Ortiz, Jean-Christophe Baillie:
Grounding Perception: A Developmental Approach to Sensorimotor Contingencies. - Alban Laflaquière:
Grounding the Experience of a Visual Field through Sensorimotor Contingencies. - Alban Laflaquière, J. Kevin O'Regan, Sylvain Argentieri, Bruno Gas, Alexander V. Terekhov:
Learning agent's spatial configuration from sensorimotor invariants. - Adnan Haider, Philip C. Woodland:
Combining Natural Gradient with Hessian Free Methods for Sequence Training. - Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling:
Relaxed Quantization for Discretized Neural Networks. - Balázs Kégl, Mehdi Cherti, Akin Kazakçi:
Spurious samples in deep generative models: bug or feature? - Yixi Xu, Xiao Wang:
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units. - Rabindra Lamsal, Shubham Katiyar:
Real-time Clustering Algorithm Based on Predefined Level-of-Similarity. - Shiv Ram Dubey, Snehasis Mukherjee:
A Multi-Face Challenging Dataset for Robust Face Recognition. - Viktor Sirotin:
RPSE: Reification as Paradigm of Software Engineering. - Viraj Gamage, Menuka Warushavithana, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka, Thejan Rupasinghe:
Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning. - Deniz Mengu, Yi Luo, Yair Rivenson, Aydogan Ozcan:
Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks. - Chaosheng Dong, Yiran Chen, Bo Zeng:
Generalized Inverse Optimization through Online Learning. - Niousha Attar, Sadegh Aliakbary:
Automatic Generation of Adaptive Network Models based on Similarity to the Desired Complex Network. - Mario Bravo, David S. Leslie, Panayotis Mertikopoulos:
Bandit learning in concave N-person games. - Mark Goadrich, James Droscha:
Procedural Puzzle Challenge Generation in Fujisan. - Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai:
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. - Animesh Koratana, Daniel Kang, Peter Bailis, Matei Zaharia:
LIT: Block-wise Intermediate Representation Training for Model Compression. - Savinay Nagendra, Nikhil Podila, Rashmi Ugarakhod, Koshy George:
Comparison of Reinforcement Learning algorithms applied to the Cart Pole problem. - Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang:
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias. - Jinoh Kim, Caitlin Sim, Jinhwan Choi:
Generating Labeled Flow Data from MAWILab Traces for Network Intrusion Detection. - Herman J. Haverkort, Laura Toma:
A Comparison of I/O-Efficient Algorithms for Visibility Computation on Massive Grid Terrains. - Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan, Zili Meng, Mohammad Alizadeh:
Learning Scheduling Algorithms for Data Processing Clusters. - S. Mostafa Mousavi, Weiqiang Zhu, Yixiao Sheng, Gregory C. Beroza:
CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection. - Mohammad Salehi, Hina Tabassum, Ekram Hossain:
Accuracy of Distance-Based Ranking of Users in the Analysis of NOMA Systems. - Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies:
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction. - Venkatesan Guruswami, Preetum Nakkiran, Madhu Sudan:
Algorithmic Polarization for Hidden Markov Models. - Feng Shi, Haochen Li, Yuhe Gao, Benjamin Kuschner, Song-Chun Zhu:
Sparse Winograd Convolutional neural networks on small-scale systolic arrays. - Guillermo A. Castillo, Bowen Weng, Ayonga Hereid, Wei Zhang:
Reinforcement Learning Meets Hybrid Zero Dynamics: A Case Study for RABBIT. - Junxuan Li, Yung-wen Liu, Yuting Jia, Jay Nanduri:
Discriminative Data-driven Self-adaptive Fraud Control Decision System with Incomplete Information. - Amado Antonini, Winter Guerra, Varun Murali, Thomas Sayre-McCord, Sertac Karaman:
The Blackbird Dataset: A large-scale dataset for UAV perception in aggressive flight. - Weiming Xiang, Patrick Musau, Ayana A. Wild, Diego Manzanas Lopez, Nathaniel Hamilton, Xiaodong Yang, Joel A. Rosenfeld, Taylor T. Johnson:
Verification for Machine Learning, Autonomy, and Neural Networks Survey. - Ankuj Arora, Humbert Fiorino, Damien Pellier, Sylvie Pesty:
Action Model Acquisition using LSTM. - Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston:
Exascale Deep Learning for Climate Analytics. - Guna Prasaad, Alvin Cheung, Dan Suciu:
Improving High Contention OLTP Performance via Transaction Scheduling. - Ignazio Gallo, Alessandro Calefati, Shah Nawaz, Muhammad Kamran Janjua:
Image and Encoded Text Fusion for Multi-Modal Classification. - Jeancarlo Campos Leão, Michele Amaral Brandão, Pedro O. S. Vaz de Melo, Alberto H. F. Laender:
Improving Community Detection by Mining Social Interactions. - Ran Canetti, Aloni Cohen, Nishanth Dikkala, Govind Ramnarayan, Sarah Scheffler, Adam D. Smith:
From Soft Classifiers to Hard Decisions: How fair can we be? - Ting-Wu Chin, Chia-Lin Yu, Matthew Halpern, Hasan Genc, Shiao-Li Tsao, Vijay Janapa Reddi:
Domain Specific Approximation for Object Detection. - Donald Azuatalam, Archie C. Chapman, Gregor Verbic:
Probabilistic Impact Assessment of Network Tariffs in Low Voltage Distribution Networks. - Matthew Marge, Claire Bonial, Stephanie M. Lukin, Cory J. Hayes, Ashley Foots, Ron Artstein, Cassidy Henry, Kimberly A. Pollard, Carla Gordon, Felix Gervits, Anton Leuski, Susan G. Hill, Clare R. Voss, David R. Traum:
Balancing Efficiency and Coverage in Human-Robot Dialogue Collection. - Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi:
Seq2Slate: Re-ranking and Slate Optimization with RNNs. - Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel:
Transfer Incremental Learning using Data Augmentation. - Ryan R. Curtin, Andrew B. Gardner, Slawomir Grzonkowski, Alexey Kleymenov, Alejandro Mosquera:
Detecting DGA domains with recurrent neural networks and side information. - Ziwei Ji, Matus Telgarsky:
Gradient descent aligns the layers of deep linear networks. - Yi-Ling Qiao, Lin Gao, Yu-Kun Lai, Shihong Xia:
Learning Bidirectional LSTM Networks for Synthesizing 3D Mesh Animation Sequences. - Sergey Slavnov:
Commutative linear logic as a multiple context-free grammar. - Massimo Bartoletti, Sophia Knight:
Proceedings 11th Interaction and Concurrency Experience, ICE 2018, Madrid, Spain, June 20-21, 2018. EPTCS 279, 2018 [contents] - Simon S. Du, Xiyu Zhai, Barnabás Póczos, Aarti Singh:
Gradient Descent Provably Optimizes Over-parameterized Neural Networks. - Muhamad Felemban, Yahya Javed, Jason Kobes, Thamir Qadah, Arif Ghafoor, Walid G. Aref:
Design and Evaluation of A Data Partitioning-Based Intrusion Management Architecture for Database Systems. - Tatsuya Chuman, Kenta Iida, Warit Sirichotedumrong, Hitoshi Kiya:
Image Manipulation Specifications on Social Networking Services for Encryption-then-Compression Systems. - Stav Buchsbaum, Ran Gilad-Bachrach, Yehuda Lindell:
Turning Lemons into Peaches using Secure Computation. - Cheng Fu, Shilin Zhu, Hao Su, Ching-En Lee, Jishen Zhao:
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA. - Dae Hyun Kim, Taeyoung Kong, Seungbin Jeong:
Finding Solutions to Generative Adversarial Privacy. - Avisek Lahiri, Charan Reddy, Prabir Kumar Biswas:
Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images. - Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Phil Blunsom, Andrew Markham, Niki Trigoni:
Transferring Physical Motion Between Domains for Neural Inertial Tracking. - Shonosuke Harada, Hirotaka Akita, Masashi Tsubaki, Yukino Baba, Ichigaku Takigawa, Yoshihiro Yamanishi, Hisashi Kashima:
Dual Convolutional Neural Network for Graph of Graphs Link Prediction. - Fady Copty, Francisco Hernandez, Dov Murik, Olmo Rayón:
Shakedown: compiler-based moving target protection for Return Oriented Programing attacks on an industrial IoT device. - Anna Wilbik:
FSS++ Workshop Report: Handling Uncertainty for Data Quality Management. - Lorraine A. K. Ayad, Giulia Bernardini, Roberto Grossi, Costas S. Iliopoulos, Nadia Pisanti, Solon P. Pissis, Giovanna Rosone:
Longest Property-Preserved Common Factor. - Juntao Yu:
Semi-Supervised Methods for Out-of-Domain Dependency Parsing. - Keren Censor-Hillel, Mikaël Rabie:
Distributed Reconfiguration of Maximal Independent Sets. - Edouard Fouché, Klemens Böhm:
Monte Carlo Dependency Estimation. - Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer, Hayit Greenspan:
Improving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder. - Yukun Yan, Daqi Zheng, Zhengdong Lu, Sen Song:
Zooming Network. - Julien Girard, Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot:
Learning Finer-class Networks for Universal Representations. - Chakresh Kumar Singh, Ravi Vishwakarma, Shivakumar Jolad:
Exploring the role and nature of interactions between Institutes in a Local Affiliation Network. - Michel Leclère, Marie-Laure Mugnier, Michaël Thomazo, Federico Ulliana:
A Single Approach to Decide Chase Termination on Linear Existential Rules. - Chengzheng Sun, David Sun, Agustina, Weiwei Cai:
Real Differences between OT and CRDT for Co-Editors. - Jan A. Bergstra, Alban Ponse, Daan J. C. Staudt:
Propositional logic with short-circuit evaluation: a non-commutative and a commutative variant. - Federico Fancellu, Adam Lopez, Bonnie L. Webber:
Neural Networks for Cross-lingual Negation Scope Detection. - Siyu Chen, Brian M. Kurkoski, Eirik Rosnes:
Construction D' Lattices from Quasi-Cyclic Low-Density Parity-Check Codes. - Mohammad Taghi Dabiri, Himan Savojbolaghchi, Seyed Mohammad Sajad Sadough:
On the Performance of Space-Time MIMO Multiplexing for Free Space Optical Communications. - Mohsen Naseri, Mohammad Taghi Dabiri, Seyed Mohammad Sajad Sadough:
Ergodic Capacity of Triple-Hop All-Optical Amplify-and-Forward Relaying over Free-Space Optical Channels. - Julian Hosp, Toby Hoenisch, Paul Kittiwongsunthorn:
COMIT - Cryptographically-secure Off-chain Multi-asset Instant Transaction Network. - James A. Grant, David S. Leslie, Kevin Glazebrook, Roberto Szechtman, Adam N. Letchford:
Adaptive Policies for Perimeter Surveillance Problems. - Idan Attias, Aryeh Kontorovich, Yishay Mansour:
Improved generalization bounds for robust learning. - Giuseppa Castiglione, Gabriele Fici, Antonio Restivo:
On k-Maximal Submonoids, with Applications in Combinatorics on Words. - Sang-Min Choi, Jiho Park, Quan Hoang Nguyen, Andre Cronje, Ki-Young Jang, Hyunjoon Cheon, Yo-Sub Han, Byung-Ik Ahn:
OPERA: Reasoning about continuous common knowledge in asynchronous distributed systems. - Athanasios Kehagias:
A Note on the Nash Equilibria of Some Multi-Player Reachability / Safety Games. - Gianfranco Chicco, Andrea Mazza:
Heuristic Optimization of Electrical Energy Systems: A Perpetual Motion Scheme and Refined Metrics to Compare the Solutions. - Giacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert:
A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks. - Xiang Zhang, Lina Yao, Chaoran Huang, Salil S. Kanhere, Dalin Zhang:
Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding. - Fan Zhang, Miao Hu:
Memristor-based Deep Convolution Neural Network: A Case Study. - Jan Wassenberg, Robert Obryk, Jyrki Alakuijala, Emmanuel Mogenet:
Randen - fast backtracking-resistant random generator with AES+Feistel+Reverie. - Tommaso Caselli:
Italian Event Detection Goes Deep Learning. - Thomas Fernique, Amir Hashemi, Olga Sizova:
Compact packings of the plane with three sizes of discs. - Andrew Polonsky:
On (weak) fpc generators. - Olivier Bournez, Arnaud Durand, Sabrina Ouazzani:
Recursion schemes, discrete differential equations and characterization of polynomial time computation. - Ahad Mohammadi, Javier Bonilla, Reza Zarghami, Shahab Golshan:
A Novel Heat Exchanger Design Method Using a Delayed Rejection Adaptive Metropolis Hasting Algorithm. - Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe:
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks. - Hiroki Ouchi, Hiroyuki Shindo, Yuji Matsumoto:
A Span Selection Model for Semantic Role Labeling. - Michael Cerny Green, Gabriella A. B. Barros, Antonios Liapis, Julian Togelius:
DATA Agent. - Manuel Hernández:
Deriving sorting algorithms via abductive logic program transformation. - Jesse Read:
Concept-drifting Data Streams are Time Series; The Case for Continuous Adaptation. - Mathias Müller, Annette Rios, Elena Voita, Rico Sennrich:
A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation. - Yong Tan:
Compound Binary Search Tree and Algorithms. - David W. Brown:
MyCaffe: A Complete C# Re-Write of Caffe with Reinforcement Learning. - Nikolay Savinov, Anton Raichuk, Raphaël Marinier, Damien Vincent, Marc Pollefeys, Timothy P. Lillicrap, Sylvain Gelly:
Episodic Curiosity through Reachability. - Muhammad Amjad, Leila Musavian:
Performance Analysis of NOMA for Ultra-Reliable and Low-Latency Communications. - Sanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Isgum:
Direct Prediction of Cardiovascular Mortality from Low-dose Chest CT using Deep Learning. - Sanjeev Arora, Nadav Cohen, Noah Golowich, Wei Hu:
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks. - Kangfu Mei, Aiwen Jiang, Juncheng Li, Mingwen Wang:
Progressive Feature Fusion Network for Realistic Image Dehazing. - Lea Föcke:
SiMRX - A Simulation toolbox for MRX. - Adrien Poulenard, Maks Ovsjanikov:
Multi-directional Geodesic Neural Networks via Equivariant Convolution. - Guillaume Ducoffe:
Polynomial-time Recognition of 4-Steiner Powers. - Anna T. Thomas, Albert Gu, Tri Dao, Atri Rudra, Christopher Ré:
Learning Compressed Transforms with Low Displacement Rank. - Derek Chang, Devendra Shelar, Saurabh Amin:
DER Allocation and Line Repair Scheduling for Storm-induced Failures in Distribution Networks. - Arash Molavi Kakhki, Vijay Erramilli, Phillipa Gill, Augustin Chaintreau, Balachander Krishnamurthy:
Information Market for Web Browsing: Design, Usability and Incremental Adoption. - Ehsan Farahbakhsh, Rohitash Chandra, Hugo K. H. Olierook, Richard Scalzo, Chris Clark, Steven M. Reddy, R. Dietmar Müller:
Computer vision-based framework for extracting geological lineaments from optical remote sensing data. - Gerald Friedland, Alfredo Metere, Mario Michael Krell:
A Practical Approach to Sizing Neural Networks. - Kyle Hsu, Sergey Levine, Chelsea Finn:
Unsupervised Learning via Meta-Learning. - Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Joshua B. Tenenbaum:
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding. - Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr:
SNIP: Single-shot Network Pruning based on Connection Sensitivity. - Jan-Martin O. Steitz, Faraz Saeedan, Stefan Roth:
Multi-view X-ray R-CNN. - AmirMahdi Ahmadinejad, Arun Jambulapati, Amin Saberi, Aaron Sidford:
Perron-Frobenius Theory in Nearly Linear Time: Positive Eigenvectors, M-matrices, Graph Kernels, and Other Applications. - Marcelo Marinho, Alexandre Luna, Sarah Beecham:
Global Software Development: Practices for Cultural Differences. - Thomas Teixeira, Filipe Wall Mutz, Vinicius B. Cardoso, Lucas de Paula Veronese, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza:
Map Memorization and Forgetting in the IARA Autonomous Car. - Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han:
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering. - Félix G. Harvey, Christopher J. Pal:
Recurrent Transition Networks for Character Locomotion. - Roman A. Solovyev, Maxim Vakhrushev, Alexander Radionov, Vladimir Aliev, Alexey A. Shvets:
Deep Learning Approaches for Understanding Simple Speech Commands. - Alphan Sahin, Rui Yang:
A Generic Complementary Sequence Encoder. - Jakub Gajarský, Stephan Kreutzer, Jaroslav Nesetril, Patrice Ossona de Mendez, Michal Pilipczuk, Sebastian Siebertz, Szymon Torunczyk:
First-order interpretations of bounded expansion classes. - Andris Ambainis, Krisjanis Prusis, Jevgenijs Vihrovs:
On Block Sensitivity and Fractional Block Sensitivity. - Balthazar Bauer, Jevgenijs Vihrovs, Hoeteck Wee:
On the Inner Product Predicate and a Generalization of Matching Vector Families. - Wei Du, Ang Li, Qinghua Li:
Privacy-Preserving Multiparty Learning For Logistic Regression. - Ghada Zamzmi, Gabriel Ruiz, Matthew Shreve, Dmitry B. Goldgof, Rangachar Kasturi, Sudeep Sarkar:
A method to Suppress Facial Expression in Posed and Spontaneous Videos. - Junho Cho:
Prefix-Free Code Distribution Matching for Probabilistic Constellation Shaping. - Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs. - Zhanpeng He, Ryan Julian, Eric Heiden, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations. - Pei Wang, Pushpi Paranamana, Patrick Shafto:
Generalizing the theory of cooperative inference. - Chihuang Liu, Joseph F. JáJá:
Feature prioritization and regularization improve standard accuracy and adversarial robustness. - Mahmoud Kalash, Md. Amirul Islam, Neil D. B. Bruce:
Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks. - Vaishak Belle:
Abstracting Probabilistic Relational Models. - Bart Jacobs:
Lower and Upper Conditioning in Quantum Bayesian Theory. 225-238 - Alessandro Achille, Glen Mbeng, Stefano Soatto:
The Dynamics of Differential Learning I: Information-Dynamics and Task Reachability. - Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing:
AutoLoss: Learning Discrete Schedules for Alternate Optimization. - Tong He, Yang Hu:
FashionNet: Personalized Outfit Recommendation with Deep Neural Network. - Florian Heimerl, Chih-Ching Chang, Alper Sarikaya, Michael Gleicher:
Visual Designs for Binned Aggregation of Multi-Class Scatterplots. - Sandip Roy, Mengran Xue:
Comment on 'Detecting Topology Variations in Networks of Linear Dynamical Systems'. - Tang Liu, Daniela Tuninetti:
Tight Information Theoretic Converse Results for some Pliable Index Coding Problems. - David Eppstein, Elham Havvaei:
Parameterized Leaf Power Recognition via Embedding into Graph Products. - Michal Derezinski, Manfred K. Warmuth, Daniel Hsu:
Correcting the bias in least squares regression with volume-rescaled sampling. - Kyle D. Julian, Mykel J. Kochenderfer:
Image-based Guidance of Autonomous Aircraft for Wildfire Surveillance and Prediction. - Marcel Campen, Hanxiao Shen, Jiaran Zhou, Denis Zorin:
Seamless Parametrization with Arbitrarily Prescribed Cones. - Ben Kaiser, Mireya Jurado, Alex Ledger:
The Looming Threat of China: An Analysis of Chinese Influence on Bitcoin. - Franco Barbanera, Ugo de'Liguoro, Rolf Hennicker:
Global Types for Open Systems. 4-20 - Roberto Guanciale, Emilio Tuosto:
Realisability of Pomsets via Communicating Automata. 37-51 - Eduard Kamburjan, Reiner Hähnle:
Prototyping Formal System Models with Active Objects. 52-67 - Alexandre Mansard:
Unfolding of Finite Concurrent Automata. 68-84 - Maurizio Murgia:
On Urgency in Asynchronous Timed Session Types. 85-94 - Zhongyuan Zhao:
Meeting Real-Time Constraint of Spectrum Management in TV Black-Space Access. - Mostafa Zaman Chowdhury, Mohd. Noor Islam, Young Min Seo, Young Ki Lee, Sang Bum Kang, Sunwoong Choi, Yeong Min Jang:
Characterizing QoS Parameters and Application of Soft-QoS Scheme for 3G Wireless Networks. - Mostafa Zaman Chowdhury, Yeong Min Jang, Zygmunt J. Haas:
Interference Mitigation Using Dynamic Frequency Re-use for Dense Femtocell Network Architectures. - Mostafa Zaman Chowdhury, Seung Que Lee, Byung Han Ru, Namhoon Park, Yeong Min Jang:
Service Quality Improvement of Mobile Users in Vehicular Environment by Mobile Femtocell Network Deployment. - Mostafa Zaman Chowdhury, Young-Il Kim, Won Ryu, Yeong Min Jang:
Popularity based Bandwidth Allocation for Video Broadcast/Multicast over Wireless Networks. - Mostafa Zaman Chowdhury, Yeong Min Jang:
CAC and Traffic Modeling for Integrated Macrocell/Femtocell Networks. - Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer. - Jelena Vasiljevic, Ivica Milosavljevic, Vladimir Krstic, Natasa Zivic, Lazar Berbakov, Luka Lopusina, Dhinaharan Nagamalai, Milutin Cerovic:
Medical Images Analysis in Cancer Diagnostic. - Dimitrios Damopoulos, Georgios Portokalidis:
Hands-Free One-Time and Continuous Authentication Using Glass Wearable Devices. - Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea:
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations. - Jinke Ren, Yinghui He, Guan Huang, Guanding Yu, Yunlong Cai, Zhaoyang Zhang:
An Edge-Computing Based Architecture for Mobile Augmented Reality. - Jindan Xu, Wei Xu, Hua Zhang, Geoffrey Ye Li, Xiaohu You:
Performance Analysis of Multi-Cell Millimeter Wave Massive MIMO Networks with Low-Precision ADCs. - Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker:
Learning To Simulate. - Philip Gun, Andrew John Hill, Robin Vujanic:
Multi-Vehicle Trajectory Optimisation On Road Networks. - (Withdrawn) Social Choice Random Utility Models of Intransitive Pairwise Comparisons.
- Peter Henderson, Joshua Romoff, Joelle Pineau:
Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods. - Cheolhyeong Kim, Seungtae Park, Hyung Ju Hwang:
Local Stability and Performance of Simple Gradient Penalty mu-Wasserstein GAN. - Jiahu Qin, Jie Wang, Ling Shi, Yu Kang:
Randomized Consensus based Distributed Kalman Filtering over Wireless Sensor Networks. - Kee-Hoon Kim:
PAPR Reduction in OFDM-IM Using Multilevel Dither Signals. - Lei Yu, Vincent Y. F. Tan:
Corrections to "Wyner's Common Information under Rényi Divergence Measures". - Komal Janghel, Shankar Prakriya:
Performance of Two-Hop Cooperative Cognitive Networks with an Energy Harvesting Relay. - Jurica Hizak, Lovorka Gotal Dmitrovic, Mirko Cubrilo:
The role of memory in transition from direct to indirect reciprocity. - Kazi Nawshad Azam, Mostafa Zaman Chowdhury:
Intelligent Interference Management Based on On-Demand Service Connectivity for Femtocellular Networks. - Mohammad Arif Hossain, Shakil Ahmed, Mostafa Zaman Chowdhury:
Radio Resource Management for Dynamic Channel Borrowing Scheme in Wireless Networks. - Perttu Hämäläinen, Amin Babadi, Xiaoxiao Ma, Jaakko Lehtinen:
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation. - Shakil Ahmed, Mohammad Arif Hossain, Mostafa Zaman Chowdhury:
Interference Declination for Dynamic Channel Borrowing Scheme in Wireless Network. - Shakil Ahmed, Mohammad Arif Hossain, Mostafa Zaman Chowdhury:
On Demand Cell Sectoring Based Fractional Frequency Reuse in Wireless Networks. - Md. Asadur Rahman, Mohammad Arif Hossain, Shakil Ahmed, Mostafa Zaman Chowdhury:
A New Guard-Band Call Admission Control Policy Based on Acceptance Factor for Wireless Cellular Networks. - Massimo Condoluci, Stephen H. Johnson, Vicknesan Ayadurai, Maria A. Lema, Maria A. Cuevas, Mischa Dohler, Toktam Mahmoodi:
Fixed-Mobile Convergence in the 5G era: From Hybrid Access to Converged Core. - Mike Wu, Noah D. Goodman, Stefano Ermon:
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference. - Mohammad Arif Hossain, Mostafa Zaman Chowdhury, Shakil Ahmed, Yeong Min Jang:
Class-Based Interference Management in Wireless Networks. - Jiahu Qin, Menglin Li, Ling Shi, Yu Kang:
Optimal Denial-of-Service Attack Energy Management over an SINR-Based Network. - Imtiaz Nasim, Mostafa Zaman Chowdhury, Md. Syadus Sefat:
Energy-Efficient Cellular Communications Powered by Smart Grid Technology. - Simon Olofsson, Ruth Misener:
GPdoemd: a python package for design of experiments for model discrimination. - Nicolas Gonthier, Yann Gousseau, Saïd Ladjal, Olivier Bonfait:
Weakly Supervised Object Detection in Artworks. - Mehek-Moutushy Rahman Mou, Mostafa Zaman Chowdhury:
Service Aware Fuzzy Logic Based Handover Decision in Heterogeneous Wireless Networks. - Md. Tashikur Rahman, Md. Didarul Alam, Mostafa Zaman Chowdhury:
Interference Mitigation and Capacity Enhancement based on Dynamic Frequency Reuse for Femtocell Networks. - Dengxin Dai, Luc Van Gool:
Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime. - Qijun Zhu, Dandan Li, Dik Lun Lee:
C-DLSI: An Extended LSI Tailored for Federated Text Retrieval. - A. S. M. Zadid Shifat, Mostafa Zaman Chowdhury, Yeong Min Jang:
A game theoretical approach for QoS provisioning in heterogeneous networks. - Evelyn Chee, Zhenzhou Wu:
AIRNet: Self-Supervised Affine Registration for 3D Medical Images using Neural Networks. - Md. Tanvir Hossan, Mostafa Zaman Chowdhury, Moh. Khalid Hasan, Md. Shahjalal, Trang Nguyen, Nam Tuan Le, Yeong Min Jang:
A New Vehicle Localization Scheme Based on Combined Optical Camera Communication and Photogrammetry. - A. S. M. Zadid Shifat, Mostafa Zaman Chowdhury, Yeong Min Jang:
Game-Based Approach for QoS Provisioning and Interference Management in Heterogeneous Networks. - Mostafa Zaman Chowdhury, Md. Tanvir Hossan, Amirul Islam, Yeong Min Jang:
A Comparative Survey of Optical Wireless Technologies: Architectures and Applications. - Mostafa Zaman Chowdhury, Md. Tanvir Hossan, Yeong Min Jang:
Interference Management Based on RT/nRT Traffic Classification for FFR-Aided Small Cell/Macrocell Heterogeneous Networks. - Mostafa Zaman Chowdhury, Md. Tanvir Hossan, Moh. Khalid Hasan, Yeong Min Jang:
Integrated RF/Optical Wireless Networks for Improving QoS in Indoor and Transportation Applications. - Minglong Qi, Shengwu Xiong:
On a Theorem of Kyureghyan and Pott. - Md. Shahjalal, Md. Tanvir Hossan, Moh. Khalid Hasan, Mostafa Zaman Chowdhury, Nam Tuan Le, Yeong Min Jang:
An Implementation Approach and Performance Analysis of Image Sensor Based Multilateral Indoor Localization and Navigation System. - Minori Narita, Daiki Kimura, Ryuki Tachibana:
Spatially-weighted Anomaly Detection. - Brian Paden, Peng Liu, Schuyler Cullen:
Accelerated Labeling of Discrete Abstractions for Autonomous Driving Subject to LTL Specifications. - Xiao Pu, Nikolaos Pappas, James Henderson, Andrei Popescu-Belis:
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation. - Benjamin Wassermann, Stefan Kollmannsberger, Shuohui Yin, László Kudela, Ernst Rank:
Integrating CAD and Numerical Analysis: 'Dirty Geometry' handling using the Finite Cell Method. - Anne Bouillard:
Stability and performance guarantees in networks with cyclic dependencies. - M. Z. F. Amara, Ravimal Bandara, Thushari P. Silva:
SLIC Based Digital Image Enlargement. - André Ofner, Sebastian Stober:
Hybrid Active Inference. - Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
ReTiCaM: Real-time Human Performance Capture from Monocular Video. - Luca Melis, Apostolos Pyrgelis, Emiliano De Cristofaro:
On Collaborative Predictive Blacklisting. - Rocco Paolillo, Wander Jager:
Simulating acculturation dynamics between migrants and locals in relation to network formation. - Yazhan Zhang, Zicheng Kan, Yu Alexander Tse, Yang Yang, Michael Yu Wang:
FingerVision Tactile Sensor Design and Slip Detection Using Convolutional LSTM Network. - David Landsberg, Earl T. Barr:
Automated Fix Detection Given Flaky Tests. - Kanstantsin Pashkovich:
Computing the Nucleolus of Weighted Voting Games in Pseudo-polynomial Time. - Defeng Sun, Kim-Chuan Toh, Yancheng Yuan:
Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm. - Tomi Peltola:
Local Interpretable Model-agnostic Explanations of Bayesian Predictive Models via Kullback-Leibler Projections. - Giovanni Iacca:
Distributed optimization in wireless sensor networks: an island-model framework. - Xuan Gu, Hans Knutsson, Anders Eklund:
Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks. - Joao P. Leitao, Mohamed Zaghloul, Vahid Moosavi:
Modeling overland flow from local inflows in almost no-time, using Self Organizing Maps. - Sabah Al-Fedaghi:
Thinging Ethics for Software Engineers. - Philippe C. Besse, Brendan Guillouet, Béatrice Laurent:
Wikistat 2.0: Educational Resources for Artificial Intelligence. - Alun D. Preece, Rob Ashelford, Harry Armstrong, Dave Braines:
Hows and Whys of Artificial Intelligence for Public Sector Decisions: Explanation and Evaluation. - Gorka Olalde Mendia, Lander Usategui San Juan, Xabier Perez Bascaran, Asier Bilbao Calvo, Alejandro Hernández Cordero, Irati Zamalloa Ugarte, Aday Muñiz Rosas, David Mayoral Vilches, Unai Ayucar Carbajo, Laura Alzola Kirschgens, Victor Mayoral Vilches, Endika Gil-Uriarte:
Robotics CTF (RCTF), a playground for robot hacking. - Xinjing Cheng, Peng Wang, Ruigang Yang:
Learning Depth with Convolutional Spatial Propagation Network.