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ORCIDCoRR, February 2018
- Fangzhou Sun, Abhishek Dubey, Jules White:
DxNAT - Deep Neural Networks for Explaining Non-Recurring Traffic Congestion. - Babajide O. Ayinde, Jacek M. Zurada:
Deep Learning of Constrained Autoencoders for Enhanced Understanding of Data. - P. Balasubramanian:
Comments on "Dual-rail asynchronous logic multi-level implementation". - Varun Ranganathan, S. Natarajan:
A New Backpropagation Algorithm without Gradient Descent. - Mawulolo K. Ameko, Lihua Cai, Mehdi Boukhechba, Alexander Daros, Philip I. Chow, Bethany A. Teachman, Matthew S. Gerber, Laura E. Barnes:
Cluster-based Approach to Improve Affect Recognition from Passively Sensed Data. - Márcio Nicolau, Márcia Barrocas Moreira Pimentel, Casiane Salete Tibola, José Maurício Cunha Fernandes, Willingthon Pavan:
Fusarium Damaged Kernels Detection Using Transfer Learning on Deep Neural Network Architecture. - Peter Schüller:
Technical Report: Adjudication of Coreference Annotations via Answer Set Optimization. - Jason Ku, Ali Harakeh, Steven Lake Waslander:
In Defense of Classical Image Processing: Fast Depth Completion on the CPU. - Mariano G. Beiró, Loreto Bravo, Diego Caro, Ciro Cattuto, Leo Ferres, Eduardo Graells-Garrido:
Shopping Mall Attraction and Social Mixing at a City Scale. - Alexander Shapiro, Yao Xie, Rui Zhang:
Matrix completion with deterministic pattern - a geometric perspective. - Damien Anderson, Matthew Stephenson, Julian Togelius, Christoph Salge, John Levine, Jochen Renz:
Deceptive Games. - Lior Friedman, Shaul Markovitch:
Recursive Feature Generation for Knowledge-based Learning. - Christoph Heger, André van Hoorn, Dusan Okanovic, Stefan Siegl, Christian Vögele, Alexander Wert:
diagnoseIT: Expertengestützte automatische Diagnose von Performance-Probleme in Enterprise-Anwendungen (Abschlussbericht). - Max S. New, Daniel R. Licata:
Call-by-name Gradual Type Theory. - Sujitha Martin, Sourabh Vora, Kevan Yuen, Mohan M. Trivedi:
Dynamics of Driver's Gaze: Explorations in Behavior Modeling & Maneuver Prediction. - Francesca Parise, Asuman E. Ozdaglar:
Graphon games. - Faria Kalim, Le Xu, Sharanya Bathey, Richa Meherwal, Indranil Gupta:
Henge: Intent-driven Multi-Tenant Stream Processing. - David Eppstein, Vijay V. Vazirani:
NC Algorithms for Perfect Matching and Maximum Flow in One-Crossing-Minor-Free Graphs. - Marc Bosch, Christopher M. Gifford, Austin G. Dress, Clare W. Lau, Jeffrey G. Skibo, Gordon A. Christie:
Improved Image Segmentation via Cost Minimization of Multiple Hypotheses. - Matthew McClintic, Devon Maloney, Michael Scires, Gabriel Marcano, Matthew Norman, Aurora Wright:
Keyshuffling Attack for Persistent Early Code Execution in the Nintendo 3DS Secure Bootchain. - Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Cross-domain CNN for Hyperspectral Image Classification. - Zhixiang Chi, Xiaolin Wu, Xiao Shu, Jinjin Gu
:
Single Image Reflection Removal Using Deep Encoder-Decoder Network. - Marwen Zorgui, Zhiying Wang:
On the Achievability Region of Regenerating Codes for Multiple Erasures. - Teodoro Dannamann, Boris Sotomayor-Gómez, Horacio Samaniego:
The time geography of segregation during working hours. - Quanshi Zhang, Yu Yang, Ying Nian Wu, Song-Chun Zhu:
Interpreting CNNs via Decision Trees. - Sina Arefizadeh, Aria HasanzadeZonuzy, Alireza Talebpour, Srinivas Shakkottai:
Assessing Strong String Stability of Constant Spacing Policy under Speed Limit Fluctuations. - Feng Li, Yan Liu, Khidir Shaib Mohamed, Wei Wu:
A Modified Sigma-Pi-Sigma Neural Network with Adaptive Choice of Multinomials. - Jianbo Ye, Xin Lu, Zhe L. Lin, James Z. Wang:
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers. - Changlong Wu, Maryam Hosseini, Narayana Santhanam:
Redundancy of unbounded memory Markov classes with continuity conditions. - Minjia Shi, Hongwei Zhu, Patrick Solé, Gérard D. Cohen:
How many weights can a linear code have? - Chen Xu, Jianqiang Yao, Zhouchen Lin, Wenwu Ou, Yuanbin Cao, Zhirong Wang, Hongbin Zha:
Alternating Multi-bit Quantization for Recurrent Neural Networks. - Daniele Antonioli, Giuseppe Bernieri, Nils Ole Tippenhauer:
Taking Control: Design and Implementation of Botnets for Cyber-Physical Attacks with CPSBot. - Mahmoud Afifi:
Semantic White Balance: Semantic Color Constancy Using Convolutional Neural Network. - Shehroz S. Khan, Amir Ahmad, Alex Mihailidis:
Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data. - Yu Wang, Jiebo Luo:
The Great Division. - Oleg Kolosov, Alexander Barg, Itzhak Tamo, Gala Yadgar:
Optimal LRC codes for all lenghts n≤q. - Shahbaz Rezaei, Mohammed Gharib, Ali Movaghar:
Throughput Analysis of IEEE 802.11 Multi-hop Wireless Networks with Routing Consideration: A General Framework. - Shahbaz Rezaei, Ali Mohammad Afshin Hemmatyar:
Study of Uniform Jitter Mechanism for Metric-based Wireless Routing. - Waruna Ranasinghe, Nirmal Prajapati, Tomofumi Yuki, Sanjay V. Rajopadhye:
PCOT: Cache Oblivious Tiling of Polyhedral Programs. - Jiangfan Zhang, Xiaodong Wang:
Consensus-based Distributed Quickest Detection of Attacks with Unknown Parameters. - Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher:
Deep Learning with Data Dependent Implicit Activation Function. - Zhengda Qin, Badong Chen, Nanning Zheng, José C. Príncipe:
Augmented Space Linear Model. - Xuemei Xie, Jiang Du, Guangming Shi, Chenye Wang, Xun Xu:
Perceptual Compressive Sensing. - Xuemei Xie, Chenye Wang, Jiang Du, Guangming Shi:
Full Image Recover for Block-Based Compressive Sensing. - Dario Izzo, Christopher Iliffe Sprague, Dharmesh Tailor:
Machine learning and evolutionary techniques in interplanetary trajectory design. - Christoph M. Hackl, Urs Pecha, Korbinian Schechner:
Modeling and control of permanent-magnet synchronous generators under open-switch converter faults. - Igor G. Vladimirov, Ian R. Petersen:
Spatio-temporal transfer function conditions of positive realness for translation invariant lattice networks of interacting linear systems. - Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Emre Aksu:
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations. - Yi Zhong, Xiaohu Ge, Tao Han, Qiang Li, Jing Zhang:
Tradeoff between Delay and Physical Layer Security in Wireless Networks. - Mnacho Echenim, Radu Iosif, Nicolas Peltier:
On the Expressive Completeness of Bernays-Schönfinkel-Ramsey Separation Logic. - Ahmed Osman, Wojciech Samek:
Dual Recurrent Attention Units for Visual Question Answering. - Yikang Li, Pak Lun Kevin Ding, Baoxin Li:
Training Neural Networks by Using Power Linear Units (PoLUs). - Vijaya Yajnanarayana, Y.-P. Eric Wang, Shiwei Gao, Siva D. Muruganathan, Xingqin Lin:
Interference Mitigation Methods for Unmanned Aerial Vehicles Served by Cellular Networks. - Dan Kondratyuk, Jake Rodden, Elmer Duran:
Integrity Coded Databases: An Evaluation of Performance, Efficiency, and Practicality. - Binny Mathew, Suman Kalyan Maity, Pratip Sarkar, Animesh Mukherjee, Pawan Goyal:
Adapting predominant and novel sense discovery algorithms for identifying corpus-specific sense differences. - Nader H. Bshouty, Waseem Makhoul:
On Polynomial time Constructions of Minimum Height Decision Tree. - Si Liu, Yao Sun, Defa Zhu, Renda Bao, Wei Wang, Xiangbo Shu, Shuicheng Yan:
Face Aging with Contextual Generative Adversarial Nets. - Xiaoda Zhang, Zhuzhong Qian, Sheng Zhang, Yize Li, Xiangbo Li, Xiaoliang Wang, Sanglu Lu:
Towards Reliable (and Efficient) Job Executions in a Practical Geo-distributed Data Analytics System. - Raúl Durán Díaz, V. Gayoso Martínez, Luis Hernández Encinas, Jaime Muñoz Masqué:
A group law for PKC purposes. - Zhengyu Zhu, Zheng Chu, Ning Wang, Zhongyong Wang, Inkyu Lee:
Energy Harvesting Fairness in AN-aided Secure MU-MIMO SWIPT Systems with Cooperative Jammer. - Augusto Ferrante, Giorgio Picci:
On the state space and dynamics selection in linear stochastic models: a spectral factorization approach. - Yu Wang, Xie Chen, Mark J. F. Gales, Anton Ragni, Jeremy Heng Meng Wong:
Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription. - Yuya Yoshikawa, Yusaku Imai:
A Nonparametric Delayed Feedback Model for Conversion Rate Prediction. - Nicolas Troquard:
Individual Resource Games and Resource Redistributions. - Timo Schindler:
Anomaly Detection in Log Data using Graph Databases and Machine Learning to Defend Advanced Persistent Threats. - Mark R. Leonard, Abdelhak M. Zoubir:
Robust Sequential Detection in Distributed Sensor Networks. - Kang Li, Xiaoguang Zhao, Jiang Bian, Min Tan:
Automatic Safety Helmet Wearing Detection. - Jingwei Zhang, Lei Tai, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard:
VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control. - Kang Li, Shiying Sun, Jinting Wu, Xiaoguang Zhao, Min Tan:
Real-Time Human-Robot Interaction for a Service Robot Based on 3D Human Activity Recognition and Human-like Decision Mechanism. - Jörg Tiedemann:
Emerging Language Spaces Learned From Massively Multilingual Corpora. - Marek Kowalski, Zbigniew Nasarzewski, Grzegorz Galinski, Piotr Garbat:
HoloFace: Augmenting Human-to-Human Interactions on HoloLens. - Félix A. Miranda-Villatoro, Fulvio Forni, Rodolphe Sepulchre:
Dominance analysis of linear complementarity systems. - Zhang-Wei Hong, Yu-Ming Chen, Shih-Yang Su, Tzu-Yun Shann, Yi-Hsiang Chang, Hsuan-Kung Yang, Brian Hsi-Lin Ho, Chih-Chieh Tu, Yueh-Chuan Chang, Tsu-Ching Hsiao, Hsin-Wei Hsiao, Sih-Pin Lai, Chun-Yi Lee:
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation. - Sahar Aljalbout, Gilles Falquet:
A Semantic Model for Historical Manuscripts. - Konstantinos Drossos, Stylianos Ioannis Mimilakis, Dmitriy Serdyuk, Gerald Schuller, Tuomas Virtanen, Yoshua Bengio:
MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation. - Thomas H. Gibson, Lawrence Mitchell, David A. Ham, Colin J. Cotter:
A domain-specific language for the hybridization and static condensation of finite element methods. - Malika Bendechache, M. Tahar Kechadi:
Distributed Clustering Algorithm for Spatial Data Mining. - Markus Borg, Thomas Olsson, Ulrik Franke, Saïd Assar:
Digitalization of Swedish Government Agencies - A Perspective Through the Lens of a Software Development Census. - Shirin Saeedi Bidokhti, Michèle A. Wigger, Aylin Yener, Abbas El Gamal:
State-Adaptive Coded Caching for Symmetric Broadcast Channels. - Saugata Ghose, Kevin Hsieh, Amirali Boroumand, Rachata Ausavarungnirun, Onur Mutlu:
Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms, Future Research Directions. - O. Kurganskyy, A. J. Maksimova:
The entropy of a thermodynamic graph. - Mücahid Kutlu, Vivek Khetan, Matthew Lease:
Correlation and Prediction of Evaluation Metrics in Information Retrieval. - Nga Nguyen Thi, Van Loi Cao, Nhien-An Le-Khac:
One-class Collective Anomaly Detection based on Long Short-Term Memory Recurrent Neural Networks. - Marios P. Xanthidis, Joel M. Esposito, Ioannis M. Rekleitis, Jason M. O'Kane:
Analysis of Motion Planning by Sampling in Subspaces of Progressively Increasing Dimension. - Dang Lin, Liangyu Chen:
An efficient algorithm for global interval solution of nonlinear algebraic equations and its GPGPU implementation. - Jingchu Liu, Pengfei Hou, Lisen Mu, Yinan Yu, Chang Huang:
Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making. - Adelina Madhja, Sotiris E. Nikoletseas, Alexandros A. Voudouris:
Mobility-aware, adaptive algorithms for wireless power transfer in ad hoc networks. - Saeid Safaei, Vahid Safaei, Elizabeth D. Trippe, Karen Aguar, Hamid R. Arabnia:
Solving Minimum k-supplier in Adleman-Lipton model. - Matthias Pilz, Luluwah Al-Fagih:
A Dynamic Game Approach for Demand-Side Management: Scheduling Energy Storage with Forecasting Errors. - Michael Scire, Melissa Mears, Devon Maloney, Matthew Norman, Shaun Tux, Phoebe Monroe:
Attacking the Nintendo 3DS Boot ROMs. - Cassie Meeker, Sangwoo Park, Lauri Bishop, Joel Stein, Matei T. Ciocarlie:
EMG Pattern Classification to Control a Hand Orthosis for Functional Grasp Assistance after Stroke. - Turab Iqbal, Wenwu Wang:
Approximate Message Passing for Underdetermined Audio Source Separation. - Amitabha Karmakar:
Classifying medical notes into standard disease codes using Machine Learning. - Zheng Wu, Ruiheng Chang, Jiaxu Ma, Cewu Lu, Chi-Keung Tang:
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters. - Antigoni-Maria Founta, Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn, Athena Vakali, Ilias Leontiadis:
A Unified Deep Learning Architecture for Abuse Detection. - Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, Qiang Yang:
Crowd Flow Prediction by Deep Spatio-Temporal Transfer Learning. - Antigoni-Maria Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos, Nicolas Kourtellis:
Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior. - (Withdrawn) Disunited Nations? A Multiplex Network Approach to Detecting Preference Affinity Blocs using Texts and Votes.
- Yanshan Wang, Sijia Liu, Naveed Afzal, Majid Rastegar-Mojarad, Liwei Wang, Feichen Shen, Paul R. Kingsbury, Hongfang Liu:
A Comparison of Word Embeddings for the Biomedical Natural Language Processing. - Klaus Grobe, Jörg-Peter Elbers:
Analysis of WDM-PON for Next-Generation Back- and Fronthaul. - Jacques Carette, William M. Farmer, Patrick Laskowski:
HOL Light QE. - Bo Yang, Stefano Rosa, Andrew Markham, Niki Trigoni, Hongkai Wen:
3D Object Dense Reconstruction from a Single Depth View. - Nishant Shakya, Fan Li, Jinyuan Chen:
Distributed Computing with Heterogeneous Communication Constraints: The Worst-Case Computation Load and Proof by Contradiction. - Anish Athalye, Nicholas Carlini, David A. Wagner:
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples. - Srijan Das, Michal Koperski, François Brémond, Gianpiero Francesca:
A Fusion of Appearance based CNNs and Temporal evolution of Skeleton with LSTM for Daily Living Action Recognition. - Abdulrahman Baknina, Sennur Ulukus:
Coded Status Updates in an Energy Harvesting Erasure Channel. - Ramina Ghods, Andrew S. Lan, Tom Goldstein, Christoph Studer:
PhaseLin: Linear Phase Retrieval. - Riza Alp Güler, Natalia Neverova, Iasonas Kokkinos:
DensePose: Dense Human Pose Estimation In The Wild. - Chathika Gunaratne, Ivan Garibay:
Evolutionary Model Discovery of Factors for Farm Selection by the Artificial Anasazi. - Hamid Reza Zohouri, Artur Podobas, Satoshi Matsuoka:
Combined Spatial and Temporal Blocking for High-Performance Stencil Computation on FPGAs Using OpenCL. - Zhao Song, Lin F. Yang, Peilin Zhong:
Sensitivity Sampling Over Dynamic Geometric Data Streams with Applications to k-Clustering. - Fu-Jen Chu, Ruinian Xu, Zhenxuan Zhang, Patricio A. Vela, Maysam Ghovanloo:
The Helping Hand: An Assistive Manipulation Framework Using Augmented Reality and a Tongue-Drive. - Ayelet Heimowitz, Joakim Andén, Amit Singer:
APPLE Picker: Automatic Particle Picking, a Low-Effort Cryo-EM Framework. - Paul Vernaza, Manmohan Chandraker:
Learning random-walk label propagation for weakly-supervised semantic segmentation. - Boris Bukh, Christopher Cox:
On a fractional version of Haemers' bound. - Paul Wild, Lutz Schröder, Dirk Pattinson, Barbara König:
A van Benthem Theorem for Fuzzy Modal Logic. - Thomas A. Grossman, Vijay Mehrotra, Mouwafac Sidaoui:
Alternative Spreadsheet Model Designs for an Operations Management Model Embedded in a Periodic Business Process. - Peixian Liang, Jianxu Chen, Pavel A. Brodskiy, Qinfeng Wu, Yejia Zhang, Yizhe Zhang, Lin Yang, Jeremiah J. Zartman, Danny Z. Chen:
A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs. - Mária Csernoch, Piroska Biró:
Edu-Edition Spreadsheet Competency Framework. - Sascha Kurz:
Approximating power by weights. - Vladimir Ilievski, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning. - Diana Valverde-Mendez, Manuel Ortega-Rodríguez, Hugo Solís-Sánchez, Ariadna Venegas-Li:
The effects of anger on automated long-term-spectra based speaker-identification. - Dmitrii Kuvaiskii, Somnath Chakrabarti, Mona Vij:
Snort Intrusion Detection System with Intel Software Guard Extension (Intel SGX). - Linwei Ye, Zhi Liu, Yang Wang:
Learning Semantic Segmentation with Diverse Supervision. - Daniel Li, Asim Kadav:
Adaptive Memory Networks. - Saiprasad Ravishankar, Anna Ma, Deanna Needell:
Analysis of Fast Alternating Minimization for Structured Dictionary Learning. - Fu-Jen Chu, Ruinian Xu, Patricio A. Vela:
Deep Grasp: Detection and Localization of Grasps with Deep Neural Networks. - Frank Gabriel, Anil Kumar Chorppath, Ievgenii Tsokalo, Frank H. P. Fitzek:
Multipath Communication with Finite Sliding Window Network Coding for Ultra-Reliability and Low Latency. - Joel D. Day, Vijay Ganesh, Paul He, Florin Manea, Dirk Nowotka:
The Satisfiability of Extended Word Equations: The Boundary Between Decidability and Undecidability. - Shaojie Tang:
Toward Optimal Coupon Allocation in Social Networks: An Approximate Submodular Optimization Approach. - Alexander Brown, Saurabh Kumar Garg, James Montgomery:
Scalable Preprocessing of High Volume Bird Acoustic Data. - Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar:
Decentralized Control of Stochastically Switched Linear System with Unreliable Communication. - Ruyue Xin, Jiang Zhang, Yitong Shao:
Complex Network Classification with Convolutional Neural Network. - Michael Harradon, Jeff Druce, Brian E. Ruttenberg:
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations. - Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni:
ExpNet: Landmark-Free, Deep, 3D Facial Expressions. - Marinka Zitnik, Monica Agrawal, Jure Leskovec:
Modeling polypharmacy side effects with graph convolutional networks. - Elena Galbally, Mikael Jorda:
Real Time Collision Detection and Identification for Robotic Manipulators. - Andrew Lensen, Bing Xue, Mengjie Zhang:
Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming. - Ranjitha Prasad:
Unlabelled Sensing: A Sparse Bayesian Learning Approach. - Xuan Liu, Xiaoguang Wang, Stan Matwin:
Interpretable Deep Convolutional Neural Networks via Meta-learning. - Mumin Cebe, Enes Erdin, Kemal Akkaya, Hidayet Aksu, A. Selcuk Uluagac:
Block4Forensic: An Integrated Lightweight Blockchain Framework for Forensics Applications of Connected Vehicles. - Abel Ag Rb Guimaraes, Ghassem Tofighi:
Detecting Zones and Threat on 3D Body for Security in Airports using Deep Machine Learning. - Zhipeng Chen, Benedetta Tondi, Xiaolong Li, Rongrong Ni, Yao Zhao, Mauro Barni:
Secure Detection of Image Manipulation by means of Random Feature Selection. - Vijaya Krishna Yalavarthi, Arijit Khan:
Fast Influence Maximization in Dynamic Graphs: A Local Updating Approach. - Pasupathy Vimalachandran, Hua Wang, Yanchun Zhang, Ben Heyward, Yueai Zhao:
Preserving Patient-centred Controls in Electronic Health Record Systems: A Reliance-based Model Implication. - Pasupathy Vimalachandran, Hua Wang, Yanchun Zhang, Ben Heyward, Frank Whittaker:
Ensuring Data Integrity in Electronic Health Records: A Quality Health Care Implication. - Gabriele Coppolino, Carlo Condo, Guido Masera, Warren J. Gross:
A Multi-Kernel Multi-Code Polar Decoder Architecture. - Guglielmo Fachini, Catalin Hritcu, Marco Stronati, Arthur Azevedo de Amorim, Ana Nora Evans, Carmine Abate, Roberto Blanco, Théo Laurent, Benjamin C. Pierce, Andrew Tolmach:
When Good Components Go Bad: Formally Secure Compilation Despite Dynamic Compromise. - Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Explainable Software Analytics. - Morten Kolbæk, Zheng-Hua Tan, Jesper Jensen:
Monaural Speech Enhancement using Deep Neural Networks by Maximizing a Short-Time Objective Intelligibility Measure. - Lutz Bornmann, Robin Haunschild:
Allegation of scientific misconduct increases Twitter attention. - Jens Grubert, Lukas Witzani, Eyal Ofek, Michel Pahud, Matthias Kranz, Per Ola Kristensson:
Effects of Hand Representations for Typing in Virtual Reality. - Quanshi Zhang, Song-Chun Zhu:
Visual Interpretability for Deep Learning: a Survey. - Roland Ritt, Paul O'Leary, Christopher Josef Rothschedl, Matthew Harker:
Advanced Symbolic Time Series Analysis in Cyber Physical Systems. - Filip Malmberg:
When can lp-norm objective functions be minimized via graph cuts? - Jens Grubert, Lukas Witzani, Eyal Ofek, Michel Pahud, Matthias Kranz, Per Ola Kristensson:
Text Entry in Immersive Head-Mounted Display-based Virtual Reality using Standard Keyboards. - Moritz Einfalt, Dan Zecha, Rainer Lienhart:
Activity-conditioned continuous human pose estimation for performance analysis of athletes using the example of swimming. - Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Yongping Pan:
Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-inspired Unmanned Aerial Vehicles. - Maciej Bendkowski, Pierre Lescanne:
Counting Environments and Closures. - M. Hashemipour, Mohammad Reza Hooshmandasl, Ali Shakiba:
On the complexity of the outer-connected bondage and the outer-connected reinforcement problems. - Lukas Fleischer:
On The Complexity of the Cayley Semigroup Membership Problem. - Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. - Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito:
Convolutional neural network-based regression for depth prediction in digital holography. - Saikat Roy, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
Handwritten Isolated Bangla Compound Character Recognition: a new benchmark using a novel deep learning approach. - Florian Schmidt, Mathias Niepert, Felipe Huici:
Representation Learning for Resource Usage Prediction. - Achour Mostéfaoui, Matthieu Perrin, Michel Raynal:
A Simple Object that Spans the Whole Consensus Hierarchy. - William J. Wilkinson, Joshua D. Reiss, Dan Stowell:
A Generative Model for Natural Sounds Based on Latent Force Modelling. - Menaka Narayanan, Emily Chen, Jeffrey He, Been Kim, Sam Gershman, Finale Doshi-Velez:
How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation. - Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi:
Hierarchical Aggregation Approach for Distributed clustering of spatial datasets. - Max Dohse:
TikZ-FeynHand: Basic User Guide. - Peter D. Bruza:
Modelling contextuality by probabilistic programs with hypergraph semantics. - Zhengyu Zhu, Ning Wang, Zheng Chu, Zhongyong Wang, Inkyu Lee:
AN-aided Secure Transmission in Multi-user MIMO SWIPT Systems. - Diego Didona, Willy Zwaenepoel:
Size-aware Sharding For Improving Tail Latencies in In-memory Key-value Stores. - Wanling Gao, Lei Wang, Jianfeng Zhan, Chunjie Luo, Daoyi Zheng, Zhen Jia, Biwei Xie, Chen Zheng, Qiang Yang, Haibin Wang:
Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads. - Arash Atashpendar, Marc Beunardeau, Aisling Connolly, Rémi Géraud, David Mestel, A. W. Roscoe, Peter Y. A. Ryan:
From Clustering Supersequences to Entropy Minimizing Subsequences for Single and Double Deletions. - Achour Mostéfaoui, Matthieu Perrin, Michel Raynal:
Extending Causal Consistency to any Object Defined by a Sequential Specification. - Ewoud J. J. Smeur, Murat Bronz, Guido C. H. E. de Croon:
Incremental control and guidance of hybrid aircraft applied to the Cyclone tailsitter UAV. - Per Kristian Lehre, Phan Trung Hai Nguyen:
Improved Runtime Bounds for the Univariate Marginal Distribution Algorithm via Anti-Concentration. - Peter Bernd Otte, Dalibor Djukanovic:
A cost effective and reliable environment monitoring system for HPC applications. - Darin McBeath, Ron Daniel Jr.:
Measuring Spark on AWS: A Case Study on Mining Scientific Publications with Annotation Query. - Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sergio Escalera, Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Stéphane Ayache, Evelyne Viegas, Furkan Gürpinar, Achmadnoer Sukma Wicaksana, Cynthia C. S. Liem, Marcel A. J. van Gerven, Rob van Lier:
Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos. - Claudio Gallicchio:
Short-term Memory of Deep RNN. - Bruno Bauwens:
Optimal probabilistic polynomial time compression and the Slepian-Wolf theorem: tighter version and simple proofs. - Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin:
Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis. - Yongming Huang, Cheng Zhang, Jiaheng Wang, Yindi Jing, Luxi Yang, Xiaohu You:
Signal Processing for MIMO-NOMA: Present and Future Challenges. - Liron Cohen, Reuben N. S. Rowe:
Infinitary and Cyclic Proof Systems for Transitive Closure Logic. - Mladen Dimovski, Vladimir Ilievski, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
Submodularity-inspired Data Selection for Goal-oriented Chatbot Training based on Sentence Embeddings. - Tomás Brázdil, Krishnendu Chatterjee, Jan Kretínský, Viktor Toman:
Strategy Representation by Decision Trees in Reactive Synthesis. - Anh Quach, Aravind Prakash, Lok-Kwong Yan:
Debloating Software through Piece-Wise Compilation and Loading. - Fernando Moya Rueda, Gernot A. Fink:
Learning Attribute Representation for Human Activity Recognition. - Philip A. Huebner, Jon A. Willits:
Order matters: Distributional properties of speech to young children bootstraps learning of semantic representations. - Shashank Sharma, Vinay P. Namboodiri:
No Modes left behind: Capturing the data distribution effectively using GANs. - Nikola Banic, Sven Loncaric:
Green Stability Assumption: Unsupervised Learning for Statistics-Based Illumination Estimation. - Larry Diehl, Aaron Stump:
Zero-Cost Coercions for Program and Proof Reuse. - Christoph M. Hackl, Martin Pfeifer, Korbinian Schechner, Pol Jané-Soneira, Sören Hohmann:
Full- & Reduced-Order State-Space Modeling of Wind Turbine Systems with Permanent-Magnet Synchronous Generator. - Ashkan Yousefpour, Ashish Patil, Genya Ishigaki, Inwoong Kim, Xi Wang, Hakki C. Cankaya, Qiong Zhang, Weisheng Xie, Jason P. Jue:
QoS-aware Dynamic Fog Service Provisioning. - Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang:
VIBNN: Hardware Acceleration of Bayesian Neural Networks. - Ao Ren, Sijia Liu, Ruizhe Cai, Wujie Wen, Pramod K. Varshney, Yanzhi Wang:
Algorithm-Hardware Co-Optimization of the Memristor-Based Framework for Solving SOCP and Homogeneous QCQP Problems. - Amir Rosenfeld, John K. Tsotsos:
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing. - Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo, Zhengyou Zhang, Yun Fu:
Incremental Classifier Learning with Generative Adversarial Networks. - Animesh Yadav, Octavia A. Dobre, H. Vincent Poor:
Is Self-Interference in Full-Duplex Communications a Foe or a Friend? - Alexandra M. Porter, Shashwat Silas, Mary Wootters:
Load-Balanced Fractional Repetition Codes. - Prasanna Ramakrishnan, Mary Wootters:
On taking advantage of multiple requests in error correcting codes. - Zhichao Shao, Lukas Landau, Rodrigo C. de Lamare:
Study of SIC and RLS Channel Estimation for Large-Scale Antenna Systems with 1-Bit ADCs. - Haris Aziz:
Proportional Representation in Approval-based Committee Voting and Beyond. - Michael Mitzenmacher:
A Model for Learned Bloom Filters and Related Structures. - Zixiang Ding, Rui Xia, Jianfei Yu, Xiang Li, Jian Yang:
Densely Connected Bidirectional LSTM with Applications to Sentence Classification. - Huihui He, Rui Xia:
Joint Binary Neural Network for Multi-label Learning with Applications to Emotion Classification. - Shiliang Zheng, Rui Xia:
Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention. - Xiaofei Wang, Yuhua Zhang, Victor C. M. Leung, Nadra Guizani, Tianpeng Jiang:
D2D Big Data: Content Deliveries over Wireless Device-to-Device Sharing in Large Scale Mobile Networks. - Fan Li, Jinyuan Chen, Zhiying Wang:
Wireless MapReduce Distributed Computing. - Arjun Muralidharan, Yasamin Mostofi:
Path Planning for Minimizing the Expected Cost till Success. - Sergio Valcarcel Macua, Javier Zazo, Santiago Zazo:
Learning Parametric Closed-Loop Policies for Markov Potential Games. - Yixing Li, Fengbo Ren:
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning. - Mengbin Ye, Brian D. O. Anderson, Changbin Yu:
Leader Tracking of Euler-Lagrange Agents on Directed Switching Networks Using A Model-Independent Algorithm. - Yuke Li, A. Stephen Morse:
The Power Allocation Game on A Dynamic Network: Equilibrium Selection. - Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song:
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. - Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang:
AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts. - Hans van Ditmarsch, Wiebe van der Hoek, Barteld Kooi, Louwe B. Kuijer:
Arrow Update Synthesis. - Howard H. Yang, Ying Wang, Tony Q. S. Quek:
Delay Analysis of Random Scheduling and Round Robin in Small Cell Networks. - Farhad Shirani, Siddharth Garg, Elza Erkip:
Typicality Matching for Pairs of Correlated Graphs. - Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim:
A deep tree-based model for software defect prediction. - Amr Alanwar, Fatima M. Anwar, João Pedro Hespanha, Mani B. Srivastava:
Realizing Uncertainty-Aware Timing Stack in Embedded Operating System. - Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency:
Multi-attention Recurrent Network for Human Communication Comprehension. - Minghai Chen, Sen Wang, Paul Pu Liang, Tadas Baltrusaitis, Amir Zadeh, Louis-Philippe Morency:
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning. - I (Eli) Chien, Chung-Yi Lin, I-Hsiang Wang:
On the Minimax Misclassification Ratio of Hypergraph Community Detection. - Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency:
Memory Fusion Network for Multi-view Sequential Learning. - K. R. Murali, A. Chockalingam:
On OTFS Modulation for High-Doppler Fading Channels. - Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere, Dhiraj D. Kalamkar, Sasikanth Avancha, Kunal Banerjee, Srinivas Sridharan, Karthik Vaidyanathan, Bharat Kaul, Evangelos Georganas, Alexander Heinecke, Pradeep Dubey, Jesús Corbal, Nikita Shustrov, Roman Dubtsov, Evarist Fomenko, Vadim O. Pirogov:
Mixed Precision Training of Convolutional Neural Networks using Integer Operations. - Yeeleng Scott Vang, Zhen Chen, Xiaohui Xie:
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification. - Swati Jaiswal, Uday P. Khedker, Supratik Chakraborty:
Demand-driven Alias Analysis : Formalizing Bidirectional Analyses for Soundness and Precision. - Agustinus Kristiadi, Mohammad Asif Khan, Denis Lukovnikov, Jens Lehmann, Asja Fischer:
Incorporating Literals into Knowledge Graph Embeddings. - Muhammad Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Khanh Hoa Dam, Renuka Sindhgatta:
Memory-Augmented Neural Networks for Predictive Process Analytics. - Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu:
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks. - Feng Yang, Gui-Song Xia, Dengxin Dai, Liangpei Zhang:
Learning the Synthesizability of Dynamic Texture Samples. - Parth Mehta, Prasenjit Majumder:
Content based Weighted Consensus Summarization. - Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Artem Pimkin, Egor Krivov, Mikhail Belyaev:
Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. - Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. - Sathya Chinnathambi, Agilan Santhanam:
Scheduling and Checkpointing optimization algorithm for Byzantine fault tolerance in Cloud Clusters. - Ted Hurley, Donny Hurley:
Coding Theory: the unit-derived methodology. - Danilo Pianini, Guido Salvaneschi:
Proceedings First Workshop on Architectures, Languages and Paradigms for IoT, ALP4IoT@iFM 2017, Turin, Italy, September 18, 2017. - Yuliang Xiu, Jiefeng Li, Haoyu Wang, Yinghong Fang, Cewu Lu:
Pose Flow: Efficient Online Pose Tracking. - Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Irina Rish:
Adaptive Representation Selection in Contextual Bandit with Unlabeled History. - Lutz Bornmann, Jonathan Adams, Loet Leydesdorff:
The negative effects of citing with a national orientation in terms of recognition: national and international citations in papers from Germany, the Netherlands, and UK. - Jing Yu, Yuhang Lu, Zengchang Qin, Yanbing Liu, Jianlong Tan, Li Guo, Weifeng Zhang:
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval. - Mahmoud Afifi:
Image Posterization Using Fuzzy Logic and Bilateral Filter. - Tathagata Chakraborti, Sarath Sreedharan, Sachin Grover, Subbarao Kambhampati:
Plan Explanations as Model Reconciliation - An Empirical Study. - Nadisanka Rupasinghe, Yuichi Kakishima, Haralabos C. Papadopoulos, Ismail Güvenç:
A Graph Theoretic Approach for Training Overhead Reduction in FDD Massive MIMO Systems. - Xiaolong Ma, Yipeng Zhang, Geng Yuan, Ao Ren, Zhe Li, Jie Han, Jingtong Hu, Yanzhi Wang:
An Area and Energy Efficient Design of Domain-Wall Memory-Based Deep Convolutional Neural Networks using Stochastic Computing. - (Withdrawn) On the Exact Asymptotic of Expected Sum of Displacement of Random Sensors for Covering a Unit Interval.
- Jonathan Raiman, Olivier Raiman:
DeepType: Multilingual Entity Linking by Neural Type System Evolution. - Anton V. Proskurnikov, Manuel Mazo Jr.:
Lyapunov Design for Event-Triggered Exponential Stabilization. - Michael Veale, Max Van Kleek, Reuben Binns:
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making. - Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha:
JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications. - Himani Arora, Rajath Kumar, Jason Krone, Chong Li:
Multi-task Learning for Continuous Control. - Stefan Engblom:
Stochastic simulation of pattern formation in growing tissue: a multilevel approach. - Fardad Haghpanah:
Transportation Emergency Planning Considering Uncertainty in Event Duration and Drivers' Behavior. - Ana Nora Evans:
Software Fault Isolation for Robust Compilation. - William Fu, Raymond Lin, Daniel Inge:
TaintAssembly: Taint-Based Information Flow Control Tracking for WebAssembly. - Zihan Chen, Jiahu Qin, Bo Li, Hongsheng Qi, Peter Buchhorn, Guodong Shi:
Dynamics of Opinions with Social Biases. - Angela Fontan, Guodong Shi, Xiaoming Hu, Claudio Altafini:
Interval Consensus for Multiagent Networks. - Naveen Sai Madiraju, Seid M. Sadat, Dimitry Fisher, Homa Karimabadi:
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features. - Siming Wan, Feng Shu, Jinhui Lu, Guan Gui, Jun Wang, Guiyang Xia, Yijin Zhang, Jun Li, Jiangzhou Wang:
Power Allocation Strategy of Maximizing Secrecy Rate for Secure Directional Modulation Networks. - Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos:
Out-of-Core and Distributed Algorithms for Dense Subtensor Mining. - Bora Moon:
Weighted Hamming Metric Structures. - Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li:
Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All. - Jeemin Kim, Seung-Woo Ko, Han Cha, Seunghwan Kim, Seong-Lyun Kim:
Sense-and-Predict: Harnessing Spatial Interference Correlation for Opportunistic Access in Cognitive Radio Networks. - Raluca Marinescu, Predrag Filipovikj, Eduard Paul Enoiu, Jonatan Larsson, Cristina Seceleanu:
An Energy-aware Mutation Testing Framework for EAST-ADL Architectural Models. - Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Tafazzoli Harandi, Fatih Porikli, Rui Zhang:
Museum Exhibit Identification Challenge for Domain Adaptation and Beyond. - Nathalia Moraes do Nascimento, Carlos Lucena, Paulo S. C. Alencar, Donald D. Cowan:
Software Engineers vs. Machine Learning Algorithms: An Empirical Study Assessing Performance and Reuse Tasks. - Claude Tadonki:
HPC Curriculum and Associated Ressources in the Academic Context. - Panagiotis Tzirakis, Stefanos Zafeiriou, Björn W. Schuller:
End2You - The Imperial Toolkit for Multimodal Profiling by End-to-End Learning. - Zhun Fan, Zhongxing Li, Wenji Li:
Object Detection and Sorting by Using a Global Texture-Shape 3D Feature Descriptor. - Syed Awais Wahab Shah, Tamer Khattab, Muhammad Zeeshan Shakir, Mohammad Galal Khafagy, Mazen Omar Hasna:
Small Cell Association with Networked Flying Platforms: Novel Algorithms and Performance Bounds. - Hanzi Wang, Guobao Xiao, Yan Yan, David Suter:
Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting. - Manato Takai, Koji Ishibashi:
Repeat-Accumulate Signal Codes. - Emre Ozfatura, Deniz Gündüz:
Uncoded Caching and Cross-level Coded Delivery for Non-uniform File Popularity. - Anselme Tueno, Florian Kerschbaum:
Secure Range Queries for Multiple Users. - Bo Pang, Kaiwen Zha, Cewu Lu:
Human Action Adverb Recognition: ADHA Dataset and A Three-Stream Hybrid Model. - Moulay A. Barkatou, Maximilian Jaroschek:
Desingularization of First Order Linear Difference Systems with Rational Function Coefficients. - Binny Mathew, Unnikrishnan T. A, Tanmoy Chakraborty, Niloy Ganguly, Samik Datta:
Mining Twitter Conversations around E-commerce Promotional Events. - Giulio Giaconi, Deniz Gündüz, H. Vincent Poor:
Privacy-Aware Smart Metering: Progress and Challenges. - Vahid Yazdanpanah, Devrim Murat Yazan:
Industrial Symbiotic Relations as Cooperative Games. - Dominika Tkaczyk, Andrew Collins, Paraic Sheridan, Jöran Beel:
Evaluation and Comparison of Open Source Bibliographic Reference Parsers: A Business Use Case. - Thierry Coquand, Simon Huber, Anders Mörtberg:
On Higher Inductive Types in Cubical Type Theory. - Wang-Zhou Dai, Qiu-Ling Xu, Yang Yu, Zhi-Hua Zhou:
Tunneling Neural Perception and Logic Reasoning through Abductive Learning. - Dominika Tkaczyk, Andrew Collins, Jöran Beel:
A Method for Discovering and Extracting Author Contributions Information from Scientific Biomedical Publications. - Jose Berengueres:
Valuation of Crypto-Currency Mining Operations. - Jochen Burghardt:
A Scheme-Driven Approach to Learning Programs from Input/Output Equations. - Meriç Turan, Mehmet Sükrü Kuran, H. Birkan Yilmaz, Ilker Demirkol, Tuna Tugcu:
Channel Model of Molecular Communication via Diffusion in a Vessel-like Environment Considering a Partially Covering Receiver. - Mansour Ahmadi, Angelo Sotgiu, Giorgio Giacinto:
IntelliAV: Building an Effective On-Device Android Malware Detector. - (Withdrawn) Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy.
- Haoyu Zhang, Qin Zhang, Haixu Tang:
Smooth q-Gram, and Its Applications to Detection of Overlaps among Long, Error-Prone Sequencing Reads. - Matti Wiegmann, Michael Völske, Benno Stein, Matthias Hagen, Martin Potthast:
Heuristic Feature Selection for Clickbait Detection. - Joshua Garland, Andrew M. Berdahl, Jie Sun, Erik M. Bollt:
The Anatomy of Leadership in Collective Behaviour. - Jonas Lundberg, Jonas Nordqvist, Antonio Matosevic:
On-the-fly Detection of Autogenerated Tweets. - Bernard Chazelle:
A Sharp Bound on the s-Energy. - Bernard Chazelle:
Toward a Theory of Markov Influence Systems and their Renormalization. - Linjie Yang, Yanran Wang, Xuehan Xiong, Jianchao Yang, Aggelos K. Katsaggelos:
Efficient Video Object Segmentation via Network Modulation. - Xiaoxiao Yang:
The Effect Race in Fine-Grained Concurrency. - Salman Ul Hassan Dar, Mahmut Yurt, Levent Karacan, Aykut Erdem, Erkut Erdem, Tolga Çukur:
Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks. - Samet Oymak:
Learning Compact Neural Networks with Regularization. - André Platzer, Yong Kiam Tan:
Differential Equation Axiomatization: The Impressive Power of Differential Ghosts. - Yuksel Ozan Basciftci, Amr Abdelaziz, C. Emre Koksal:
MIMO with Energy Recycling. - Xi Chen, Xiao Wang, Jianhua Xuan:
Tracking Multiple Moving Objects Using Unscented Kalman Filtering Techniques. - Fatemeh Shiri, Xin Yu, Fatih Porikli, Piotr Koniusz:
Face Destylization. - Oliver Knill:
Listening to the cohomology of graphs. - AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash:
Counting and Uniform Sampling from Markov Equivalent DAGs. - Rakesh Katuwal, Ponnuthurai N. Suganthan:
Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces. - Gabriel Grand, Idan Asher Blank, Francisco Pereira, Evelina Fedorenko:
Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings. - Chandra Chekuri, Kent Quanrud:
Fast Approximations for Metric-TSP via Linear Programming. - Liang Yuan, Chen Ding, Peter J. Denning, Yunquan Zhang:
A Measurement Theory of Locality. - Yifan Peng, Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu:
Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models. - Ziyang Yuan, Hongxia Wang:
Phase retrieval with background information. - Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Development of c-means Clustering Based Adaptive Fuzzy Controller for A Flapping Wing Micro Air Vehicle. - Lin Han, Jiang Zhu, Rick S. Blum, Zhiwei Xu:
Newtonized Orthogonal Matching Pursuit for Line Spectrum Estimation with Multiple Measurement Vectors. - Kazuma Arino, Yohei Kikuta:
ClassSim: Similarity between Classes Defined by Misclassification Ratios of Trained Classifiers. - Nguyen Ho Minh Duy, Manh-Duy Nguyen, Mai Thanh Nhat Truong, Pham The Bao, Thanh Binh Nguyen:
Accurate brain extraction using Active Shape Model and Convolutional Neural Networks. - Misha Teplitskiy, Daniel E. Acuna, Aida Elamrani-Raoult, Konrad P. Körding, James Evans:
The Social Structure of Consensus in Scientific Review. - S. Ritika, Dattaraj Rao:
Face recognition for monitoring operator shift in railways. - Emily L. Spratt:
Dream Formulations and Deep Neural Networks: Humanistic Themes in the Iconology of the Machine-Learned Image. - Hongguang Zhang, Piotr Koniusz:
Zero-Shot Kernel Learning. - Ahmet Cetinkaya, Kaito Kikuchi, Tomohisa Hayakawa, Hideaki Ishii:
Randomized Transmission Protocols for Protection against Jamming Attacks in Multi-Agent Consensus. - Maria Dimakopoulou, Benjamin Van Roy:
Coordinated Exploration in Concurrent Reinforcement Learning. - Maya Kabkab, Pouya Samangouei, Rama Chellappa:
Task-Aware Compressed Sensing with Generative Adversarial Networks. - S. Ritika, Dattaraj Rao:
Data Augmentation of Railway Images for Track Inspection. - Wenye Li:
Network Community Detection with A Successive Spectral Relaxation Method. - Wuqiong Luo, Wee Peng Tay, Peng Sun, Yonggang Wen:
On Distributed Algorithms for Cost-Efficient Data Center Placement in Cloud Computing. - Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Deep Learning-based Channel Estimation for Beamspace mmWave Massive MIMO Systems. - Young-bin Kim, Dae Kyu Shin, Wan Choi:
Rate-Energy Region in Wireless Information and Power Transfer: New Receiver Architecture and Practical Modulation. - Ioannis Caragiannis, Aris Filos-Ratsikas, Swaprava Nath, Alexandros A. Voudouris:
Truthful mechanisms for ownership transfer with expert advice. - Peilun Li, Guosai Wang, Xiaoqi Chen, Wei Xu:
Gosig: Scalable Byzantine Consensus on Adversarial Wide Area Network for Blockchains. - Mattia Rebato, Laura Resteghini, Christian Mazzucco, Michele Zorzi:
Study of Realistic Antenna Patterns in 5G mmWave Cellular Scenarios. - Daniel Danielski, Emanuel Kieronski:
Unary negation fragment with equivalence relations has the finite model property. - Ville Junnila, Tero Laihonen, Gabrielle Paris:
Optimal bounds on codes for location in circulant graphs. - Bohua Zhan, Maximilian P. L. Haslbeck:
Verifying Asymptotic Time Complexity of Imperative Programs in Isabelle. - Samir Datta, Siddharth Iyer, Raghav Kulkarni, Anish Mukherjee:
Shortest k-Disjoint Paths via Determinants. - Harshit Gupta, Julien Fageot, Michael Unser:
Continuous-Domain Solutions of Linear Inverse Problems with Tikhonov vs. Generalized TV Regularization. - Jingjing Xu, Xu Sun, Xuancheng Ren, Junyang Lin, Bingzhen Wei, Wei Li:
DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text. - Eric Price, Guilherme Lawless, Heinrich H. Bülthoff, Michael J. Black, Aamir Ahmad:
Deep Neural Network-based Cooperative Visual Tracking through Multiple Micro Aerial Vehicles. - Andrei Ivanov, Sergei Andrianov, Alena Sholokhova:
Lie Transform Based Polynomial Neural Networks for Dynamical Systems Simulation and Identification. - Andres Garcia-Saavedra, Paul Patras, Víctor Valls, Xavier Costa-Pérez, Douglas J. Leith:
ORLA/OLAA: Orthogonal Coexistence of LAA and WiFi in Unlicensed Spectrum. - Per Lenberg, Robert Feldt:
Psychological Safety and Norm Clarity in Software Engineering Teams. - Wenpeng Zhang, Xiao Lin, Peilin Zhao:
Online Compact Convexified Factorization Machine. - Ashley Prater-Bennette:
Randomness and isometries in echo state networks and compressed sensing. - Maria Francis, Thibaut Verron:
Signature-based Criteria for Möller's Algorithm for Computing Gröbner Bases over Principal Ideal Domains. - Mohit Chamania, Thomas Szyrkowiec, Michele Santuari, Domenico Siracusa, Achim Autenrieth, Víctor López, Pontus Sköldström, Stéphane Junique:
Intent-Based In-flight Service Encryption in Multi-Layer Transport Networks. - Michela Del Vicario, Walter Quattrociocchi, Antonio Scala, Fabiana Zollo:
Polarization and Fake News: Early Warning of Potential Misinformation Targets. - Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
An AI aid to the editors. Exploring the possibility of an AI assisted article classification system. - Guozhen An, Rivka Levitan:
Comparing approaches for mitigating intergroup variability in personality recognition. - Dong Liu, Chenyang Yang:
A Learning-based Approach to Joint Content Caching and Recommendation at Base Stations. - Mohammed S. Hadi, Ahmed Q. Lawey, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Big Data Analytics for Wireless and Wired Network Design: A Survey. - Henry S. Thompson, Jian Tong:
Can Common Crawl reliably track persistent identifier (PID) use over time? - Pranav Jha, Abhay Karandikar:
SDN based Control and Management of WLANs in the 3GPP 5G Network. - Jean-Baptiste Camps:
Manuscripts in Time and Space: Experiments in Scriptometrics on an Old French Corpus. - Haonan Yu, Haichao Zhang, Wei Xu:
Interactive Grounded Language Acquisition and Generalization in a 2D World. - Corentin Henry, Seyed Majid Azimi, Nina Merkle:
Road Segmentation in SAR Satellite Images with Deep Fully-Convolutional Neural Networks. - Lijun Zhao, Huihui Bai, Feng Li, Anhong Wang, Yao Zhao:
Mixed-Resolution Image Representation and Compression with Convolutional Neural Networks. - Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru:
Hardening Deep Neural Networks via Adversarial Model Cascades. - Filip Klubicka, Antonio Toral, Víctor M. Sánchez-Cartagena:
Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian. - Daniel Lokshtanov, M. S. Ramanujan, Saket Saurabh, Meirav Zehavi:
Reducing CMSO Model Checking to Highly Connected Graphs. - André Cibils, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
Diverse Beam Search for Increased Novelty in Abstractive Summarization. - Irati Zamalloa, Iñigo Muguruza, Alejandro Hernández, Risto Kojcev, Víctor Mayoral:
An information model for modular robots: the Hardware Robot Information Model (HRIM). - Bruno Durand, Andrei E. Romashchenko:
The expressiveness of quasiperiodic and minimal shifts of finite type. - Arsalan Mosenia, Xiaoliang Dai, Prateek Mittal, Niraj K. Jha:
PinMe: Tracking a Smartphone User around the World. - Jeffrey Lienert, Laura M. Koehly, Felix Reed-Tsochas, Christopher Steven Marcum:
An efficient counting method for the colored triad census. - João Pedro Pedroso, Kramer Alpar-Vajk, Ke Zhang:
The Sea Exploration Problem: Data-driven Orienteering on a Continuous Surface. - Xuhong Li, Yves Grandvalet, Franck Davoine:
Explicit Inductive Bias for Transfer Learning with Convolutional Networks. - David M. Burns, Nathan Leung, Michael R. Hardisty, Cari M. Whyne, Patrick Henry, Stewart McLachlin:
Shoulder Physiotherapy Exercise Recognition: Machine Learning the Inertial Signals from a Smartwatch. - Leon Thurner, Alexander Scheidler, Alexander C. Probst, Martin Braun:
Analysing the Degree of Meshing in Medium Voltage Target Grids - An Automated Technical and Economical Impact Assessment. - Francis Engelmann, Theodora Kontogianni, Alexander Hermans, Bastian Leibe:
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds. - Leon Thurner, Martin Braun:
Vectorized Calculation of Short Circuit Currents Considering Distributed Generation - An Open Source Implementation of IEC 60909. - Dominik D. Freydenberger, Markus L. Schmid:
Deterministic Regular Expressions With Back-References. - Karthik Upadhya, Sergiy A. Vorobyov:
Covariance Matrix Estimation for Massive MIMO. - Pranjal Awasthi, Bahman Kalantari, Yikai Zhang:
Robust Vertex Enumeration for Convex Hulls in High Dimensions. - Marcelo Saval-Calvo, Jorge Azorín López, Andrés Fuster Guilló, Victor Villena-Martinez, Robert B. Fisher:
3D non-rigid registration using color: Color Coherent Point Drift. - Roberto Tonelli, Giuseppe Destefanis, Michele Marchesi, Marco Ortu:
Smart Contracts Software Metrics: a First Study. - Isaac J. Sledge, Matthew S. Emigh, José C. Príncipe:
Guided Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion. - Soonam Lee, Daekeun Kim:
Background subtraction using the factored 3-way restricted Boltzmann machines. - Ryuta Arisaka, Jeremie Dauphin:
Abstractly Interpreting Argumentation Frameworks for Sharpening Extensions. - Giovanni Geraci, Adrian García-Rodríguez, Lorenzo Galati-Giordano, David López-Pérez, Emil Björnson:
Supporting UAV Cellular Communications through Massive MIMO. - Terence Parr, Jeremy Howard:
The Matrix Calculus You Need For Deep Learning. - Blake Wulfe, Sunil Chintakindi, Sou-Cheng T. Choi, Rory Hartong-Redden, Anuradha Kodali, Mykel J. Kochenderfer:
Real-time Prediction of Intermediate-Horizon Automotive Collision Risk. - Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan:
Expressive Robot Motion Timing. - Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V. Le:
Regularized Evolution for Image Classifier Architecture Search. - Adnan Siraj Rakin, Zhezhi He, Boqing Gong, Deliang Fan:
Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples. - Grzegorz Gluch, Jerzy Marcinkowski, Piotr Ostropolski-Nalewaja:
Can One Escape Red Chains? Regular Path Queries Determinacy is Undecidable. - Tianhe Yu, Chelsea Finn, Annie Xie, Sudeep Dasari, Tianhao Zhang, Pieter Abbeel, Sergey Levine:
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning. - Lasse Espeholt, Hubert Soyer, Rémi Munos, Karen Simonyan, Volodymyr Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu:
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. - Ahmed Arafa, Jing Yang, Sennur Ulukus:
Age-Minimal Online Policies for Energy Harvesting Sensors with Random Battery Recharges. - Karim Said Barsim, Lirong Yang, Bin Yang:
Selective Sampling and Mixture Models in Generative Adversarial Networks. - Nicolas Y. Masse, Gregory D. Grant, David J. Freedman:
Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization. - Federico Monti, Karl Otness, Michael M. Bronstein:
MotifNet: a motif-based Graph Convolutional Network for directed graphs. - Chandrayee Basu, Mukesh Singhal, Anca D. Dragan:
Learning from Richer Human Guidance: Augmenting Comparison-Based Learning with Feature Queries. - Sandipan Sikdar, Tanmoy Chakraborty, Soumya Sarkar, Niloy Ganguly, Animesh Mukherjee:
ComPAS: Community Preserving Sampling for Streaming Graphs. - Igor Fedorov, Bhaskar D. Rao:
Re-Weighted Learning for Sparsifying Deep Neural Networks. - Mohammad Reza Amini, Mahdi Shahbakhti, Jing Sun:
Predictive Second Order Sliding Control of Constrained Linear Systems with Application to Automotive Control Systems. - Imene Trigui, Sofiène Affes:
Generalized Analysis and Optimization of D2D Communications in Cellular Networks. - Joseph O'Rourke:
Un-unzippable Convex Caps. - Craig Hatmaker:
Proposed Spreadsheet Transparency Definition and Measures. - Chandrayee Basu, Qian Yang, David Hungerman, Mukesh Singhal, Anca D. Dragan:
Do You Want Your Autonomous Car To Drive Like You? - John Olorunfemi Abe, Burak Berk Ustundaug:
A Data as a Service (DaaS) Model for GPU-based Data Analytics. - Steve Litt:
Mitigating Spreadsheet Risk in Complex Multi-Dimensional Models in Excel. - Ali Khalajmehrabadi, Nikolaos Gatsis, David Akopian, Ahmad F. Taha:
Real-Time Rejection and Mitigation of Time Synchronization Attacks on the Global Positioning System. - Mohamed El Banani, Jason J. Corso:
Adviser Networks: Learning What Question to Ask for Human-In-The-Loop Viewpoint Estimation. - Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin:
Deep Learning with a Rethinking Structure for Multi-label Classification. - Jingwei Huang, Hao Su, Leonidas J. Guibas:
Robust Watertight Manifold Surface Generation Method for ShapeNet Models. - Jarrett Holtz, Arjun Guha, Joydeep Biswas:
Interactive Robot Transition Repair With SMT. - Sneha Mehta:
Spot that Bird: A Location Based Bird Game. - Yannic Noller, Hoang Lam Nguyen, Minxing Tang, Timo Kehrer:
Shadow Symbolic Execution with Java PathFinder. - Bahman Moghimi, Navid Kalantari, Camille Kamga, Kyriacos C. Mouskos:
Simultaneous Optimization of Signal Timing and Capacity Improvement in Urban Transportation Networks Using Simulated Annealing. - Christian Miranda, Georges Kaddoum, Elias Bou-Harb:
Cross-Layer Authentication Protocol Design for Ultra-Dense 5G HetNets. - Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha C. Molnar, Pavan K. Turaga:
Compressive Light Field Reconstructions using Deep Learning. - Omid Avatefipour, Hafiz Malik:
State-of-the-Art Survey on In-Vehicle Network Communication (CAN-Bus) Security and Vulnerabilities. - Alan Kuhnle, Md Abdul Alim, Xiang Li, Huiling Zhang, My T. Thai:
Multiplex Influence Maximization in Online Social Networks with Heterogeneous Diffusion Models. - Flávio L. Pinheiro, Fernando P. Santos:
Local Wealth Redistribution Promotes Cooperation in Multiagent Systems. - Andrey Mokhov, Georgy Lukyanov, Jakob Lechner:
Formal Verification of Spacecraft Control Programs Using a Metalanguage for State Transformers. - Rahil Mehrizi, Xi Peng, Zhiqiang Tang, Xu Xu, Dimitris N. Metaxas, Kang Li:
Toward Marker-free 3D Pose Estimation in Lifting: A Deep Multi-view Solution. - Siddharth Reddy, Sergey Levine, Anca D. Dragan:
Shared Autonomy via Deep Reinforcement Learning. - Tsung-Ting Kuo, Lucila Ohno-Machado:
ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks. - Jeff M. Phillips, Wai Ming Tai:
Near-Optimal Coresets of Kernel Density Estimates. - Chenqi Mou, Yang Bai:
On the chordality of polynomial sets in triangular decomposition in top-down style. - Xinle Liu:
How to select the best set of ads: Can we do better than Greedy Algorithm? - Jason L. Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake A. Qualls, David G. Politte, Fred W. Prior, Shuzhong Zhang, Xiuzhen Huang:
Highly accurate model for prediction of lung nodule malignancy with CT scans. - Xu Chen, Jiang Wang, Hao Ge:
Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN. - Girish Kumar, Matthew Henderson, Shannon Chan, Hoang Nguyen, Lucas Ngoo:
Question-Answer Selection in User to User Marketplace Conversations. - Xin Tao, Hongyun Gao, Yi Wang, Xiaoyong Shen, Jue Wang, Jiaya Jia:
Scale-recurrent Network for Deep Image Deblurring. - Maxime Bouton, Kyle Julian, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty. - Mengtian Li, László A. Jeni, Deva Ramanan:
Brute-Force Facial Landmark Analysis With A 140, 000-Way Classifier. - Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths:
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. - Amir Karami, London S. Bennett, Xiaoyun He:
Mining Public Opinion about Economic Issues: Twitter and the U.S. Presidential Election. - Abhishek Nayak, Kenny Chour, Tyler Marr, Deepika Ravipati, Sheelabhadra Dey, Alvika Gautam, Swaminathan Gopalswamy, Sivakumar Rathinam:
A Distributed Hybrid Hardware-In-the-Loop Simulation framework for Infrastructure Enabled Autonomy. - Giorgio Audrito, Ferruccio Damiani, Mirko Viroli:
Aggregate Graph Statistics. 18-22 - Giorgio Audrito, Sergio Bergamini:
Resilient Blocks for Summarising Distributed Data. 23-26 - Davide Ancona, Luca Franceschini, Giorgio Delzanno, Maurizio Leotta, Marina Ribaudo, Filippo Ricca:
Towards Runtime Monitoring of Node.js and Its Application to the Internet of Things. 27-42 - Sven Linker, Michele Sevegnani:
Formalising Sensor Topologies for Target Counting. 43-57 - Yu Gu, Qimei Cui, Wei Ni, Ping Zhang, Weihua Zhuang:
Optimal Scheduling across Heterogeneous Air Interfaces of LTE/WiFi Aggregation. - Liang Liu, Pratik Patil, Wei Yu:
Channel Diagonalization for Cloud Radio Access. - Wenhai Wang, Xiang Li, Jian Yang, Tong Lu:
Mixed Link Networks. - Ehud Hrushovski, Joël Ouaknine, Amaury Pouly, James Worrell:
Polynomial Invariants for Affine Programs. - Junyang Lin, Shuming Ma, Qi Su, Xu Sun:
Decoding-History-Based Adaptive Control of Attention for Neural Machine Translation. - Ahmet Cetinkaya, Hideaki Ishii, Tomohisa Hayakawa:
Joint Effects of Jamming Interference and Disturbance in Networked Control Systems. - Xiang Zhang, Yann LeCun:
Byte-Level Recursive Convolutional Auto-Encoder for Text. - Md. Muzakkir Hussain, Mohammad Saad Alam, M. M. Sufyan Beg:
Fog Computing in IoT Aided Smart Grid Transition- Requirements, Prospects, Status Quos and Challenges. - Kazutoshi Sagi, Takahiro Toizumi, Yuzo Senda:
Rollable Latent Space for SAR Target Recognition of Un-seen Views. - Fengchun Qiao, Nai-Ming Yao, Zirui Jiao, Zhihao Li, Hui Chen, Hongan Wang:
Geometry-Contrastive Generative Adversarial Network for Facial Expression Synthesis. - Akira Utsumi:
A Neurobiologically Motivated Analysis of Distributional Semantic Models. - Simon Doherty, John Derrick, Brijesh Dongol, Heike Wehrheim:
Causal Linearizability: Compositionality for Partially Ordered Executions. - Zhi Wang, Xiaoliang Wang, Zhuzhong Qian, Baoliu Ye, Sanglu Lu:
RDMAvisor: Toward Deploying Scalable and Simple RDMA as a Service in Datacenters. - Denis Fortun, Martin Storath, Dennis Rickert, Andreas Weinmann, Michael Unser:
Fast Piecewise-Affine Motion Estimation Without Segmentation. - Wei Wang, Xavier Alameda-Pineda, Dan Xu, Elisa Ricci, Nicu Sebe:
Every Smile is Unique: Landmark-Guided Diverse Smile Generation. - Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon:
Learning Image Representations by Completing Damaged Jigsaw Puzzles. - Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, Yong Yu:
Texygen: A Benchmarking Platform for Text Generation Models. - Boris Landa, Yoel Shkolnisky:
The steerable graph Laplacian and its application to filtering image data-sets. - Anton A. Kutsenko:
Programming infinite machines. - Pascal Giorgi, Vincent Neiger:
Certification of minimal approximant bases. - Christos Katsanos, Michalis Xenos, Nikolaos K. Tselios:
Tool-mediated HCI Modeling Instruction in a Campus_based Software Quality Course. - Vincent Neiger, Johan Rosenkilde, Grigory Solomatov:
Computing Popov and Hermite forms of rectangular polynomial matrices. - Dmitri Boulytchev:
Code Reuse With Transformation Objects. - Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti:
A Survey Of Methods For Explaining Black Box Models. - Zhong Ji, Yunxin Sun, Yunlong Yu, Yanwei Pang, Jungong Han:
Attribute-Guided Network for Cross-Modal Zero-Shot Hashing. - Nirmal Prajapati, Sanjay V. Rajopadhye, Hristo N. Djidjev:
Analytical Cost Metrics : Days of Future Past. - Philipp Harzig, Stephan Brehm, Rainer Lienhart, Carolin Kaiser, René Schallner:
Multimodal Image Captioning for Marketing Analysis. - Bogdan Oancea, Richard Pospisil:
The performances of R GPU implementations of the GMRES method. - Cheng Zhang, Zhi Liu, Bo Gu, Kyoko Yamori, Yoshiaki Tanaka:
A Deep Reinforcement Learning Based Approach for Cost- and Energy-Aware Multi-Flow Mobile Data Offloading. - Joan S. Pujol Roig, Filippo Tosato, Deniz Gündüz:
Storage-Latency Trade-off in Cache-Aided Fog Radio Access Networks. - José A. Soto, Abner Turkieltaub, Victor Verdugo:
Strong Algorithms for the Ordinal Matroid Secretary Problem. - Uddalok Sarkar, Sayan Nag:
An Adaptive Genetic Algorithm for Solving N-Queens Problem. - Tiantong Guo, Hojjat Seyed Mousavi, Vishal Monga:
Orthogonally Regularized Deep Networks For Image Super-resolution. - Piotr Antonik, Marc Haelterman, Serge Massar:
Brain-inspired photonic signal processor for periodic pattern generation and chaotic system emulation. - Xiaoyu Shen, Hui Su, Shuzi Niu, Vera Demberg:
Improving Variational Encoder-Decoders in Dialogue Generation. - Robert Feldt, Francisco Gomes de Oliveira Neto, Richard Torkar:
Ways of Applying Artificial Intelligence in Software Engineering. - Kévin Degraux, Valerio Cambareri, Bert Geelen, Laurent Jacques, Gauthier Lafruit:
Multispectral Compressive Imaging Strategies using Fabry-Pérot Filtered Sensors. - Amit Kumar Sikder, Giuseppe Petracca, Hidayet Aksu, Trent Jaeger, A. Selcuk Uluagac:
A Survey on Sensor-based Threats to Internet-of-Things (IoT) Devices and Applications. - Rafael Gregorio Lucas D'Oliveira, Marcelo Firer:
A Distance Between Channels: the average error of mismatched channels. - Bart M. P. Jansen, Astrid Pieterse:
Optimal Data Reduction for Graph Coloring Using Low-Degree Polynomials. - Marwa Hadj Salah, Didier Schwab, Hervé Blanchon, Mounir Zrigui:
Système de traduction automatique statistique Anglais-Arabe. - Reuben George Stephen, Rui Zhang:
Uplink Channel Estimation and Data Transmission in Millimeter-Wave CRAN with Lens Antenna Arrays. - Marc Rußwurm, Marco Körner:
Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders. - Trung Kien Vu, Chen-Feng Liu, Mehdi Bennis, Mérouane Debbah, Matti Latva-aho:
Path Selection and Rate Allocation in Self-Backhauled mmWave Networks. - Tomás Masopust, Xiang Yin:
Deciding Detectability for Labeled Petri Nets. - Jyotirmoy Banerjee, Premal A. Patel, Fred Ushakov, Donald Peebles, Jan Deprest, Sébastien Ourselin, David J. Hawkes, Tom Vercauteren:
A Log-Euclidean and Total Variation based Variational Framework for Computational Sonography. - Sovan Biswas, Juergen Gall:
Structural Recurrent Neural Network (SRNN) for Group Activity Analysis. - Vrunda Dave, Paul Gastin, Shankara Narayanan Krishna:
Regular Transducer Expressions for Regular Transformations. - Peng Xu, Denilson Barbosa:
Investigations on Knowledge Base Embedding for Relation Prediction and Extraction. - Matteo Grella, Simone Cangialosi:
Non-Projective Dependency Parsing via Latent Heads Representation (LHR). - Rubén Sevilla, Matteo Giacomini, Alexandros Karkoulias, Antonio Huerta:
A super-convergent hybridisable discontinuous Galerkin method for linear elasticity. - Jiahui Li, Yin Sun, Limin Xiao, Shidong Zhou, Ashutosh Sabharwal:
How to Mobilize mmWave: A Joint Beam and Channel Tracking Approach. - Ahmed Arafa, Jing Yang, Sennur Ulukus, H. Vincent Poor:
Age-Minimal Online Policies for Energy Harvesting Sensors with Incremental Battery Recharges. - Mohamed S. Nafea, Aylin Yener:
Generalizing Multiple Access Wiretap and Wiretap II Channel Models: Achievable Rates and Cost of Strong Secrecy. - Kevan Yuen, Mohan M. Trivedi:
An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation. - Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim:
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices. - Karim Said Barsim, Bin Yang:
On the Feasibility of Generic Deep Disaggregation for Single-Load Extraction. - Sheng Zhang, Jin-Mei Gao:
Solve the General Constrained Optimal Control Problem with Common Integration Method. - Changzheng Zhang, Xiang Xu, Dandan Tu:
Face Detection Using Improved Faster RCNN. - Oleg Verbitsky, Maksim Zhukovskii:
Tight Bounds on the Asymptotic Descriptive Complexity of Subgraph Isomorphism. - Hanyuan Zhang, Hao Wu, Weiwei Sun, Baihua Zheng:
DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision. - Monica Marra:
Astrophysicists and physicists as creators of ArXiv-based commenting resources for their research communities. An initial survey. - Alexander N. Gorban, Bogdan Grechuk, Ivan Yu. Tyukin:
Augmented Artificial Intelligence: a Conceptual Framework. - Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton:
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. - Hui Wu, Matrix Yao, Albert Hu, Gaofeng Sun, Xiaokun Yu, Jian Tang:
A Systematic Analysis for State-of-the-Art 3D Lung Nodule Proposals Generation. - Yonatan Tariku Tesfaye:
Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition. - Krishna Chaitanya Kaluva, Mahendra Khened, Avinash Kori, Ganapathy Krishnamurthi:
2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation. - Avinash Kori, Ganapathy Krishnamurthi, Balaji Srinivasan:
Enhanced Image Classification With Data Augmentation Using Position Coordinates. - Xin Guo, Luisa F. Polanía, Kenneth E. Barner:
Smile detection in the wild based on transfer learning. - John Olafenwa, Moses Olafenwa:
FastNet. - Vinh Ngo, Arnau Casadevall, Marc Codina, David Castells-Rufas, Jordi Carrabina:
A High-Performance HOG Extractor on FPGA. - Barbara McGillivray, Elisa De Ranieri:
Uptake and outcome of manuscripts in Nature journals by review model and author characteristics. - Ulrik Buchholtz, Kuen-Bang Hou (Favonia):
Cellular Cohomology in Homotopy Type Theory. - Shotaro Kamiya, Koji Yamamoto, Seong-Lyun Kim, Takayuki Nishio, Masahiro Morikura:
Asymptotic Analysis of Normalized SNR-Based Scheduling in Uplink Cellular Networks with Truncated Channel Inversion Power Control. - Patrick Schwab, Walter Karlen:
Granger-causal Attentive Mixtures of Experts. - Stefan Hoermann, Philipp Henzler, Martin Bach, Klaus Dietmayer:
Object Detection on Dynamic Occupancy Grid Maps Using Deep Learning and Automatic Label Generation. - Yang Hu, Guihua Wen, Huiqiang Liao:
Automatic construction of Chinese herbal prescription from tongue image via convolution networks and auxiliary latent therapy topics. - Tomasz Trzcinski, Adam Bielski, Pawel Cyrta, Matthew Zak:
SocialML: machine learning for social media video creators. - Sara D. Cardell, Amparo Fúster-Sabater:
Recovering decimation-based cryptographic sequences by means of linear CAs. - Jaro Milan Zink:
Automated dataset generation for image recognition using the example of taxonomy. - Zhun Fan, Yuming Wu, Jiewei Lu, Wenji Li:
Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural Network. - Changhao Chen, Xiaoxuan Lu, Andrew Markham, Niki Trigoni:
IONet: Learning to Cure the Curse of Drift in Inertial Odometry. - Eri Matsuo, Ichiro Kobayashi, Shinji Nishimoto, Satoshi Nishida, Hideki Asoh:
Describing Semantic Representations of Brain Activity Evoked by Visual Stimuli. - Pierre Courtiol, Eric W. Tramel, Marc Sanselme, Gilles Wainrib:
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach. - Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Dana H. Brooks, Jennifer G. Dy, Milind Rajadhyaksha:
A Multiresolution Deep Learning Framework for Automated Annotation of Reflectance Confocal Microscopy Images. - Jonito Aerts Arguëlles:
The Heart of an Image: Quantum Superposition and Entanglement in Visual Perception. - Tin Leelavimolsilp, Long Tran-Thanh, Sebastian Stein:
On the Preliminary Investigation of Selfish Mining Strategy with Multiple Selfish Miners. - Nhat M. Nguyen, Nilanjan Ray:
Generative Adversarial Networks using Adaptive Convolution. - Jan Olaf Blech, Ian D. Peake, Sudarsan S. D.:
On Decision Support for Remote Industrial Facilities using the Collaborative Engineering Framework. - Shumo Chu, Alvin Cheung, Dan Suciu:
Axiomatic Foundations and Algorithms for Deciding Semantic Equivalences of SQL Queries. - Omid Haji Maghsoudi, Mahdi Alizadeh:
Feature Based Framework to Detect Diseases, Tumor, and Bleeding in Wireless Capsule Endoscopy. - Avinash Malik, Tommy Peng, Mark Trew:
A machine learning approach to reconstruction of heart surface potentials from body surface potentials. - Johannes Willkomm:
Automatic differentiation of ODE integration. - Ping Zhang, Zhifeng Bao, Yuchen Li, Guoliang Li, Yipeng Zhang, Zhiyong Peng:
Trajectory-driven Influential Billboard Placement. - Vincenzo Gulizzi:
A computational framework for microstructural modelling of polycrystalline materials with damage and failure. - Netanel Raviv, Yuval Cassuto, Rami Cohen, Moshe Schwartz:
Erasure correction of scalar codes in the presence of stragglers. - Daniel S. Roche:
Error correction in fast matrix multiplication and inverse. - Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Universal Deep Neural Network Compression. - Vikas Dhiman, Shurjo Banerjee, Brent Griffin, Jeffrey Mark Siskind, Jason J. Corso:
A Critical Investigation of Deep Reinforcement Learning for Navigation. - Mohammadhosein Hasanbeig, Lacra Pavel:
From Game-theoretic Multi-agent Log Linear Learning to Reinforcement Learning. - Caijun Zhong, Xiaoling Hu, Xiaoming Chen, Derrick Wing Kwan Ng, Zhaoyang Zhang:
Spatial Modulation Assisted Multi-Antenna Non-Orthogonal Multiple Access. - Siyu Chen, Danping Liao, Yuntao Qian:
Spectral Image Visualization Using Generative Adversarial Networks. - Mengshi Zhang, Yuqun Zhang, Lingming Zhang, Cong Liu, Sarfraz Khurshid:
DeepRoad: GAN-based Metamorphic Autonomous Driving System Testing. - Xian-Feng Han, Jesse S. Jin, Juan Xie, Ming-Jie Wang, Wei Jiang:
A comprehensive review of 3D point cloud descriptors. - Kyung-Joong Kim, DuMim Yoon, JiHoon Jeon, Seong-Il Yang, Sang-Kwang Lee, EunJo Lee, Yoonjae Jang, Dae-Wook Kim, Pei Pei Chen, Anna Guitart, Paul Bertens, África Periáñez, Fabian Hadiji, Marc Müller, Youngjun Joo, Jiyeon Lee, Inchon Hwang:
Game Data Mining Competition on Churn Prediction and Survival Analysis using Commercial Game Log Data. - Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong:
Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder. - Ye Yao:
Computer-Aided Annotation for Video Tampering Dataset of Forensic Research. - Jinmiao Huang, Cesar Osorio, Luke Wicent Sy:
An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using MIMIC-III Clinical Notes. - Kevin Moran, Carlos Bernal-Cárdenas, Michael Curcio, Richard Bonett, Denys Poshyvanyk:
Machine Learning-Based Prototyping of Graphical User Interfaces for Mobile Apps. - Mordechai Guri, Andrey Daidakulov, Yuval Elovici:
MAGNETO: Covert Channel between Air-Gapped Systems and Nearby Smartphones via CPU-Generated Magnetic Fields. - Lijie Chen:
On The Hardness of Approximate and Exact (Bichromatic) Maximum Inner Product. - Xin Chen, Hua Zhou, Yuxiang Gao, Yu Zhu, Dongyan Wang:
MiMatrix: A Massively Distributed Deep Learning Framework on a Petascale High-density Heterogeneous Cluster. - Shaoshi Chen, Hao Du, Ziming Li:
Additive Decompositions in Primitive Extensions. - Tomoyuki Yamakami:
A Schematic Definition of Quantum Polynomial Time Computability. - Leonid Blouvshtein, Daniel Cohen-Or:
Outlier Detection for Robust Multi-dimensional Scaling. - Vishal Saxena, Xinyu Wu, Kehan Zhu:
Energy-Efficient CMOS Memristive Synapses for Mixed-Signal Neuromorphic System-on-a-Chip. - Dmitry V. Zakablukov:
On Synthesis of Reversible Circuits with Small Number of Additional Inputs Consisting of NOT, CNOT and 2-CNOT Gates. - Marc Aubreville, Christof Bertram, Robert Klopfleisch, Andreas K. Maier:
SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images. - Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Gianmarco De Francisci Morales, Sanjay Chawla, Fethi Filali, Ahid Aleimat:
Road Network Fusion for Incremental Map Updates. - Neel Kant:
Recent Advances in Neural Program Synthesis. - Emre Erturk, Mayank Kumar:
New Use Cases for Snort: Cloud and Mobile Environments. - Jose Rubio-Hernan, Rishikesh Sahay, Luca De Cicco, Joaquín García-Alfaro:
Cyber-Physical Architecture Assisted by Programmable Networking. - Bernhard Beckert, Britta Nestler, Moritz Kiefer, Michael Selzer, Mattias Ulbrich:
Experience Report: Formal Methods in Material Science. - Yoshihiro Yamada, Masakazu Iwamura, Koichi Kise:
ShakeDrop regularization. - Federico D'Ambrosio, Gerard T. Barkema, Hans L. Bodlaender:
Optimal data structures for stochastic driven simulations. - Naonori Kakimura, Naoyuki Kamiyama, Kenjiro Takazawa:
The b-branching problem in digraphs. - Eyal Nitzan, Tirza Routtenberg, Joseph Tabrikian:
New Cramer-Rao-Type Bound for Constrained Parameter Estimation. - Albert Atserias, Joanna Ochremiak:
Definable Ellipsoid Method, Sums-of-Squares Proofs, and the Isomorphism Problem. - Risto Kojcev, Nora Etxezarreta, Alejandro Hernández, Víctor Mayoral:
Evaluation of Deep Reinforcement Learning Methods for Modular Robots. - Konrad Kulakowski, Jirí Mazurek, Jaroslav Ramík, Michael Soltys:
When condition of order preservation is met? - Hongmin Li, Guoqi Li, Hanchao Liu, Luping Shi:
Super-resolution of spatiotemporal event-based image. - Dmitry Baranchuk, Artem Babenko, Yury Malkov:
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors. - Jun Wang, Afonso Arriaga, Qiang Tang, Peter Y. A. Ryan:
CryptoRec: Secure Recommendations as a Service. - Junhua Wu, Sergey Polyakovskiy, Markus Wagner, Frank Neumann:
Evolutionary Computation plus Dynamic Programming for the Bi-Objective Travelling Thief Problem. - Hoda Mohammadzade, Amirhossein Sayyafan, Benyamin Ghojogh:
Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of Patches. - Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang:
Efficient Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets. - Navjot Kukreja, Jan Hückelheim, Michael Lange, Mathias Louboutin, Andrea Walther, Simon W. Funke, Gerard Gorman:
High-level python abstractions for optimal checkpointing in inversion problems. - Erik G. Larsson, Liesbet Van der Perre:
Out-of-Band Radiation from Antenna Arrays Clarified. - Nicola Zingirian, Michele Benini:
Click Spam Prevention Model for On-Line Advertisement. - Lise Verlaet, Sidonie Gallot, Audilio Gonzales Aguilar:
The paradigm of complexity. Contributions for hypertext's formal approaches. - Pooya Monshizadeh, Juan E. Machado, Romeo Ortega, Arjan van der Schaft:
Power-Controlled Hamiltonian Systems: Application to Electrical Systems with Constant Power Loads. - Jian Zhang, Yuxin Peng, Mingkuan Yuan:
SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network. - Clemens Rösner, Melanie Schmidt:
Privacy preserving clustering with constraints. - Chicheng Zhang, Eran A. Mukamel, Kamalika Chaudhuri:
Spectral Learning of Binomial HMMs for DNA Methylation Data. - Ruimin Sun, Xiaoyong Yuan, Andrew Lee, Matt Bishop, Donald E. Porter, Xiaolin Li, André Grégio, Daniela Oliveira:
Leveraging Uncertainty for Effective Malware Mitigation. - Reuben Binns, Jun Zhao, Max Van Kleek, Nigel Shadbolt:
Measuring third party tracker power across web and mobile. - Andreas Pavlogiannis, Josef Tkadlec, Krishnendu Chatterjee, Martin A. Nowak:
Strong Amplifiers of Natural Selection: Proofs. - Brandon Ballinger, Johnson Hsieh, Avesh Singh, Nimit Sohoni, Jack Wang, Geoffrey H. Tison, Gregory M. Marcus, Jose M. Sanchez, Carol Maguire, Jeffrey E. Olgin, Mark J. Pletcher:
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction. - Shankara Narayanan Krishna, Khushraj Madnani, Paritosh K. Pandya:
Büchi-Kamp Theorems for 1-clock ATA. - Birgit Penzenstadler, Stefanie Betz, Colin C. Venters, Ruzanna Chitchyan, Jari Porras, Norbert Seyff, Leticia Duboc, Christoph Becker:
Blueprint and Evaluation Instruments for a Course on Software Engineering for Sustainability. - Amir Rasouli, John K. Tsotsos:
Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice. - Rahul Parundekar:
Classification of Things in DBpedia using Deep Neural Networks. - Alessandra Lumini, Loris Nanni:
Fair comparison of skin detection approaches on publicly available datasets. - Thomas Corcoran, Rafael Zamora-Resendiz, Xinlian Liu, Silvia Crivelli:
A Spatial Mapping Algorithm with Applications in Deep Learning-Based Structure Classification. - Dario Zanca, Valeria Serchi, Pietro Piu, Francesca Rosini, Alessandra Rufa:
FixaTons: A collection of Human Fixations Datasets and Metrics for Scanpath Similarity. - Hiva Ghanbari, Katya Scheinberg:
Directly and Efficiently Optimizing Prediction Error and AUC of Linear Classifiers. - Surbhi Goel, Adam R. Klivans, Raghu Meka:
Learning One Convolutional Layer with Overlapping Patches. - Sheila Alemany, Jonathan Beltran, Adrián Pérez, Sam Ganzfried:
Predicting Hurricane Trajectories using a Recurrent Neural Network. - Huan Li, Richard Peng, Liren Shan, Yuhao Yi, Zhongzhi Zhang:
Current Flow Group Closeness Centrality for Complex Networks. - Hamza Harkous, Kassem Fawaz, Rémi Lebret, Florian Schaub, Kang G. Shin, Karl Aberer:
Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning. - David García-Soriano, Francesco Bonchi:
Fair-by-design algorithms: matching problems and beyond. - Johannes Wagner, Tobias Baur, Yue Zhang, Michel F. Valstar, Björn W. Schuller, Elisabeth André:
Applying Cooperative Machine Learning to Speed Up the Annotation of Social Signals in Large Multi-modal Corpora. - Hamid Izadinia, Pierre Garrigues:
VISER: Visual Self-Regularization. - Yun Jiang, Ning Tan, Hai Zhang, Tingting Peng:
Bitewing Radiography Semantic Segmentation Base on Conditional Generative Adversarial Nets. - Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Phillip B. Gibbons, Onur Mutlu:
Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management. - Hanfei Sun, Yiming Luo, Ziang Lu:
Unsupervised Typography Transfer. - Matthew Klawonn, Eric Heim:
Generating Triples with Adversarial Networks for Scene Graph Construction. - Yuki Nagai, Yusuke Uchida, Shigeyuki Sakazawa, Shin'ichi Satoh:
Digital Watermarking for Deep Neural Networks. - Christina Lioma, Birger Larsen, Peter Ingwersen:
To Phrase or Not to Phrase - Impact of User versus System Term Dependence Upon Retrieval. - Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
An Unsupervised Learning Model for Deformable Medical Image Registration. - Jean-François Delpech:
Unsupervised word sense disambiguation in dynamic semantic spaces. - Prashanth Gurunath Shivakumar, Haoqi Li, Kevin Knight, Panayiotis G. Georgiou:
Learning from Past Mistakes: Improving Automatic Speech Recognition Output via Noisy-Clean Phrase Context Modeling. - Md. Zahangir Alom, Theodore Josue, Md Nayim Rahman, Will Mitchell, Chris Yakopcic, Tarek M. Taha:
Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System. - Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam:
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. - Jianxiong Dong, Jim Huang:
Enhance word representation for out-of-vocabulary on Ubuntu dialogue corpus. - Md. Zahangir Alom, Adam T. Moody, Naoya Maruyama, Brian C. Van Essen, Tarek M. Taha:
Effective Quantization Approaches for Recurrent Neural Networks. - Fady Medhat, David Chesmore, John Robinson:
Recognition of Acoustic Events Using Masked Conditional Neural Networks. - Md Touhiduzzaman, Adam Hahn, Anurag Srivastava:
A Diversity-based Substation Cyber Defense Strategy utilizing Coloring Games. - Adam P. Harrison, Dileepan Joseph:
High Performance Rearrangement and Multiplication Routines for Sparse Tensor Arithmetic. - Ronny Hadani, Anton Monk:
OTFS: A New Generation of Modulation Addressing the Challenges of 5G. - Thomas Stastny, Roland Siegwart:
Nonlinear Model Predictive Guidance for Fixed-wing UAVs Using Identified Control Augmented Dynamics. - Abhronil Sengupta, Yuting Ye, Robert Wang, Chiao Liu, Kaushik Roy:
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures. - David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh:
Spatially adaptive image compression using a tiled deep network. - Markus Enenkel, Sofia Martinez Saenz, Denyse S. Dookie, Lisette Braman, Nick Obradovich, Yury Kryvasheyeu:
Social Media Data Analysis and Feedback for Advanced Disaster Risk Management. - (Withdrawn) Tight Lower Bounds for Locally Differentially Private Selection.
- Rawad Bitar, Parimal Parag, Salim El Rouayheb:
Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes. - Thanh Hong-Phuoc, Yifeng He, Ling Guan:
SCK: A sparse coding based key-point detector. - Quirin Scheitle, Jonas Jelten, Oliver Hohlfeld, Luca Ciprian, Georg Carle:
Structure and Stability of Internet Top Lists. - Christopher Meiklejohn, Heather Miller:
Partisan: Enabling Cloud-Scale Erlang Applications. - Xuesong Yang, Kartik Audhkhasi, Andrew Rosenberg, Samuel Thomas, Bhuvana Ramabhadran, Mark Hasegawa-Johnson:
Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition. - Sridhar Chimalakonda, Kesav V. Nori:
A Patterns Based Approach for Design of Educational Technologies. - Valentin Khrulkov, Ivan V. Oseledets:
Geometry Score: A Method For Comparing Generative Adversarial Networks. - Joyson Sebastian, Suhas N. Diggavi:
On Capacity of Non-Coherent Diamond Networks. - Yi Zhu, Xueqing Deng, Shawn D. Newsam:
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images. - Haowen Deng, Tolga Birdal, Slobodan Ilic:
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching. - Tomer Weiss, Alan Litteneker, Chenfanfu Jiang, Demetri Terzopoulos:
Position-Based Multi-Agent Dynamics for Real-Time Crowd Simulation (MiG paper). - Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong:
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels. - Christopher S. Meiklejohn, Peter Van Roy:
Towards A Systems Approach To Distributed Programming. - Alfons Laarman:
Stubborn Transaction Reduction (with Proofs). - Cameron T. Chalk, Jacob Hendricks, Matthew J. Patitz, Michael Sharp:
Thermodynamically Favorable Computation via Tile Self-assembly. - Christine L. Borgman, Andrea Scharnhorst, Milena S. Golshan:
Digital Data Archives as Knowledge Infrastructures: Mediating Data Sharing and Reuse. - Sourabh Vora, Akshay Rangesh, Mohan M. Trivedi:
Driver Gaze Zone Estimation using Convolutional Neural Networks: A General Framework and Ablative Analysis. - Matthieu Foucault, Xavier Blanc, Margaret-Anne D. Storey, Jean-Rémy Falleri, Cédric Teyton:
Gamification: a Game Changer for Managing Technical Debt? A Design Study. - Da Xiao, Jo-Yu Liao, Xingyuan Yuan:
Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction. - Mordechai Guri, Boris Zadov, Andrey Daidakulov, Yuval Elovici:
ODINI : Escaping Sensitive Data from Faraday-Caged, Air-Gapped Computers via Magnetic Fields. - Daming Cao, Deyao Zhang, Pengyao Chen, Nan Liu, Wei Kang, Deniz Gündüz:
Coded Caching with Heterogeneous Cache Sizes and Link Qualities: The Two-User Case. - Jaroslaw Blasiok, Venkatesan Guruswami, Preetum Nakkiran, Atri Rudra, Madhu Sudan:
General Strong Polarization. - Hojjat Seyed Mousavi, Tiantong Guo, Vishal Monga:
Deep Image Super Resolution via Natural Image Priors. - Mingchao Yu, Alex Sprintson, Parastoo Sadeghi:
On the Packet Decoding Delay of Linear Network Coded Wireless Broadcast. - Alexander Steen, Christoph Benzmüller:
The Higher-Order Prover Leo-III. - Qinghao Hu, Peisong Wang, Jian Cheng:
From Hashing to CNNs: Training BinaryWeight Networks via Hashing. - Abhimanyu Das, Sreenivas Gollapudi, Anthony Kim, Debmalya Panigrahi, Chaitanya Swamy:
Minimizing Latency in Online Ride and Delivery Services. - Reuben Feinman, Brenden M. Lake:
Learning Inductive Biases with Simple Neural Networks. - Nick Gravin, Zhihao Gavin Tang:
Monopoly pricing with buyer search. - Cristina Flaut:
Some application of difference equations in Cryptography and Coding Theory. - Peng Zhang, Jianbin Fang, Tao Tang, Canqun Yang, Zheng Wang:
Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach. - Sebastian Eibl, Ulrich Rüde:
A local parallel communication algorithm for polydisperse rigid body dynamics. - Bing Zhang, Chengming Xu, Changmao Cheng, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue:
Learning to score and summarize figure skating sport videos. - Shenghui Su, Jianhua Zheng:
The Multiphoton Boson Sampling Machine Doesn't Beat Early Classical Computers for Five-boson Sampling. - Çaglar Aytekin, Francesco Cricri, Emre Aksu:
Saliency-Enhanced Robust Visual Tracking. - Nuno Ferreira Duarte, Jovica Tasevski, Moreno I. Coco, Mirko Rakovic, José Santos-Victor:
Action Anticipation: Reading the Intentions of Humans and Robots. - Jianlei Yang, Xueyan Wang, Qiang Zhou, Zhaohao Wang, Hai Li, Yiran Chen, Weisheng Zhao:
Exploiting Spin-Orbit Torque Devices as Reconfigurable Logic for Circuit Obfuscation. - Weishu Liu, Yishan Ding, Mengdi Gu:
Book reviews in academic journals: patterns and dynamics. - Georg Maierhofer, Daniel Heydecker, Angelica I. Avilés-Rivero, Samar M. Alsaleh, Carola-Bibiane Schönlieb:
Peekaboo - Where are the Objects? Structure Adjusting Superpixels. - Lukas Drees, Ribana Roscher, Susanne Wenzel:
Archetypal Analysis for Sparse Representation-based Hyperspectral Sub-pixel Quantification. - Maurice Chandoo:
A Complexity Theory for Labeling Schemes. - Steve Awodey, Jonas Frey, Sam Speight:
Impredicative Encodings of (Higher) Inductive Types. - Thed N. van Leeuwen, Ingeborg Meijer, Alfredo Yegros-Yegros, Rodrigo Costas:
Developing indicators on Open Access by combining evidence from diverse data sources. - Yuhang Ye, Brian Lee, Ronan Flynn, Niall Murray, Yuansong Qiao:
PTP: Path-specified Transport Protocol for Concurrent Multipath Transmission in Named Data Networks. - Didier Henrion, Simone Naldi, Mohab Safey El Din:
Exact algorithms for semidefinite programs with degenerate feasible set. - Piotr Antonik, Marvyn Gulina, Jaël Pauwels, Serge Massar:
Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronisation and cryptography. - Benedetta Tondi, Neri Merhav, Mauro Barni:
Detection Games Under Fully Active Adversaries. - Naiara Pérez, Montse Cuadros, German Rigau:
Biomedical term normalization of EHRs with UMLS. - Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao:
Online Learning: A Comprehensive Survey. - Marie Le Guilly, Jean-Marc Petit, Vasile-Marian Scuturici:
SQL Query Completion for Data Exploration. - Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup:
Online Decomposition of Compressive Streaming Data Using n-𝓁1 Cluster-Weighted Minimization. - Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov:
Efficient Large-Scale Multi-Modal Classification. - Apostolos Destounis, Asma Ghorbel, Georgios S. Paschos, Mari Kobayashi:
Adaptive Coded Caching for Fair Delivery over Fading Channels. - Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Ngai-Man Cheung:
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. - Jian Zhang, Yuxin Peng, Zhaoda Ye:
Deep Reinforcement Learning for Image Hashing. - George Christodoulides:
Praaline: Integrating Tools for Speech Corpus Research. - Rahul Goel, Leandro M. T. Garcia, Anna Goodman, Rob Johnson, Rachel Aldred, Manoradhan Murugesan, Søren Brage, Kavi Bhalla, James Woodcock:
Estimating city-level travel patterns using street imagery: a case study of using Google Street View in Britain. - Fabrizio Montesi:
Classical Higher-Order Processes. - István Módos, Premysl Sucha, Roman Václavík, Jan Smejkal, Zdenek Hanzálek:
Adaptive online scheduling of tasks with anytime property on heterogeneous resources. - Shervin Minaee, Yao Wang, Anna Choromanska, Sohae Chung, Xiuyuan Wang, Els Fieremans, Steven Flanagan, Joseph Rath, Yvonne W. Lui:
A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI. - George Christodoulides, Mathieu Avanzi, Jean-Philippe Goldman:
DisMo: A Morphosyntactic, Disfluency and Multi-Word Unit Annotator. An Evaluation on a Corpus of French Spontaneous and Read Speech. - Zaid Allybokus, Konstantin Avrachenkov, Jérémie Leguay, Lorenzo Maggi:
Lower Bounds for the Fair Resource Allocation Problem. - Pietro Danzi, Marko Angjelichinoski, Cedomir Stefanovic, Tomislav Dragicevic, Petar Popovski:
Software-Defined Microgrid Control for Resilience Against Cyber Attacks. - Sebastian Baltes, Stephan Diehl:
Usage and Attribution of Stack Overflow Code Snippets in GitHub Projects. - Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov:
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. - Joseph Tassarotti, Robert Harper:
A Separation Logic for Concurrent Randomized Programs. - Shoaib Ahmed Siddiqui, Dominik Mercier, Mohsin Munir, Andreas Dengel, Sheraz Ahmed:
TSViz: Demystification of Deep Learning Models for Time-Series Analysis. - Christine L. Borgman:
Open Data, Grey Data, and Stewardship: Universities at the Privacy Frontier. - Xin Kang, Sumei Sun, Jing Yang:
Incentive Mechanisms for Motivating Mobile Data Offloading in Heterogeneous Networks: A Salary-Plus-Bonus Approach. - Daniel Recoskie, Richard Mann:
Learning Sparse Wavelet Representations. - Xiaoran Wang, Yifan Peng, Benwen Zhang:
Comment Generation for Source Code: State of the Art, Challenges and Opportunities. - Samuel Baxter, Rachit Nigam, Joe Gibbs Politz, Shriram Krishnamurthi, Arjun Guha:
Putting in All the Stops: Execution Control for JavaScript. - Donglai Zhu, Hao Chen, Hengshuai Yao, Masoud S. Nosrati, Peyman Yadmellat, Yunfei Zhang:
Practical Issues of Action-conditioned Next Image Prediction. - Niklas Georg, Wolfgang Ackermann, Jacopo Corno, Sebastian Schöps:
Uncertainty Quantification for Geometry Deformations of Superconducting Cavities using Eigenvalue Tracking. - Andrea Marrella, Massimo Mecella:
Cognitive Business Process Management for Adaptive Cyber-Physical Processes. - HyeonSeok Lee, Hyo Seon Park:
A Generalization Method of Partitioned Activation Function for Complex Number. - Chichen Fu, Di Chen, Edward J. Delp, Zoe Liu, Fengqing Zhu:
Texture Segmentation Based Video Compression Using Convolutional Neural Networks. - Rahul Potharaju, Mizanur Rahman, Bogdan Carbunar:
A Longitudinal Study of Google Play. - Lars Buesing, Theophane Weber, Sébastien Racanière, S. M. Ali Eslami, Danilo Jimenez Rezende, David P. Reichert, Fabio Viola, Frederic Besse, Karol Gregor, Demis Hassabis, Daan Wierstra:
Learning and Querying Fast Generative Models for Reinforcement Learning. - Sevi Baltaoglu, Lang Tong, Qing Zhao:
Algorithmic Bidding for Virtual Trading in Electricity Markets. - Peyman Tehrani, Farshad Lahouti, Michele Zorzi:
Resource Allocation in Heterogenous Full-duplex OFDMA Networks: Design and Analysis. - Phuong Hoai Ha, Vi Ngoc-Nha Tran, Ibrahim Umar, Aras Atalar, Anders Gidenstam, Paul Renaud-Goud, Philippas Tsigas, Ivan Walulya:
D2.4 Report on the final prototype of programming abstractions for energy-efficient inter-process communication. - Nitin S. Darkunde, Arunkumar R. Patil:
On Some Ternary LCD Codes. - Koko Kalambay Kayibi:
P not equal to NP. - Robert Falkenberg, Jens Drenhaus, Benjamin Sliwa, Christian Wietfeld:
System-in-the-loop Design Space Exploration for Efficient Communication in Large-scale IoT-based Warehouse Systems. - Minhui Zou, Yang Shi, Chengliang Wang, Fangyu Li, Wen-Zhan Song, Yu Wang:
PoTrojan: powerful neural-level trojan designs in deep learning models. - Konstantinos Konstantinidis, Aditya Ramamoorthy:
Leveraging Coding Techniques for Speeding up Distributed Computing. - Garrett Goodman, Abby Edwards, Cogan Shimizu, Tanvi Banerjee, Jennifer Hughes, William L. Romine, Larry Lawhorne:
Caregiver Assessment Using Smart Gaming Technology: A Preliminary Approach. - Peter A. Jansen, Elizabeth Wainwright, Steven Marmorstein, Clayton T. Morrison:
WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-Hop Inference. - Ralf R. Müller, Ali Bereyhi, Christoph F. Mecklenbräuker:
Oversampled Adaptive Sensing. - Gabriel Tanase, Toyotaro Suzumura, Jinho Lee, Chun-Fu Chen, Jason Crawford, Hiroki Kanezashi, Song Zhang, Warut D. Vijitbenjaronk:
System G Distributed Graph Database. - Ozsel Kilinc, Ismail Uysal:
Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization. - Markus Köppel, Fabian Franzelin, Ilja Kröker, Sergey Oladyshkin, Gabriele Santin, Dominik Wittwar, Andrea Barth, Bernard Haasdonk, Wolfgang Nowak, Dirk Pflüger, Christian Rohde:
Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario. - Spyridon Mastorakis, Kevin Chan, Bongjun Ko, Alexander Afanasyev, Lixia Zhang:
Experimentation With Fuzzy Interest Forwarding in Named Data Networking. - An Yan, Nicholas M. Weber:
Mining Open Government Data Used in Scientific Research. - Shuai Li, Ce Zhu, Ming-Ting Sun:
Hole Filling with Multiple Reference Views in DIBR View Synthesis. - Alberto Speranzon, David I. Spivak, Srivatsan Varadarajan:
Abstraction, Composition and Contracts: A Sheaf Theoretic Approach. - Gil Jader, Luciano Oliveira, Matheus Pithon:
Automatic segmenting teeth in X-ray images: Trends, a novel data set, benchmarking and future perspectives. - Mustansar Fiaz, Arif Mahmood, Soon Ki Jung:
Tracking Noisy Targets: A Review of Recent Object Tracking Approaches. - Shen Wang, Ahmad F. Taha, Jianhui Wang:
Blockchain-Assisted Crowdsourced Energy Systems. - Martin Loncaric, Bowei Liu, Ryan Weber:
Convolutional Hashing for Automated Scene Matching. - Themis Mavridis, Pablo Estevez, Lucas Bernardi:
Learning to Match. - Carlos Toxtli, Andrés Monroy-Hernández, Justin Cranshaw:
Understanding Chatbot-mediated Task Management. - Wei Zhou, Yuqing Zhang, Peng Liu:
The Effect of IoT New Features on Security and Privacy: New Threats, Existing Solutions, and Challenges Yet to Be Solved. - Araz Taeihagh:
Crowdsourcing: a new tool for policy-making? - Daniel Leivant, Jean-Yves Marion:
Implicit complexity via structure transformation. - Yun Chen, Yang Liu, Victor O. K. Li:
Zero-Resource Neural Machine Translation with Multi-Agent Communication Game. - Bo Chen, Daniel W. C. Ho, Guoqiang Hu, Li Yu:
Distributed Dimensionality Reduction Fusion Estimation with Communication Delays in Cyber-Physical Systems. - Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin:
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches. - Ali Can Kocabiyikoglu, Laurent Besacier, Olivier Kraif:
Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation Evaluation. - Christian J. Walder, Dongwoo Kim:
Neural Dynamic Programming for Musical Self Similarity. - Qinxue Meng, Daniel R. Catchpoole, David B. Skillicorn, Paul J. Kennedy:
Relational Autoencoder for Feature Extraction. - Yuanyu Zhang, Yulong Shen, Xiaohong Jiang, Shoji Kasahara:
Mode Selection and Spectrum Partition for D2D Inband Communications: A Physical Layer Security Perspective. - Nir Shlezinger, Yonina C. Eldar:
On the Spectral Efficiency of Noncooperative Uplink Massive MIMO Systems. - Yan Zhao, Zhan Zhang, Na Wu, Hongwei Liu, Decheng Zuo:
Heterogeneous and Multidimensional Clairvoyant Dynamic Bin Packing for Virtual Machine Placement. - Tajuddin Manhar Mohammed, Jason Bunk, Lakshmanan Nataraj, Jawadul H. Bappy, Arjuna Flenner, B. S. Manjunath, Shivkumar Chandrasekaran, Amit K. Roy-Chowdhury, Lawrence Peterson:
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis. - Aryo Pinandito, Novanto Yudistira, Fajar Pradana:
Web-Based Implementation of Travelling Salesperson Problem Using Genetic Algorithm. - Paul Magron, Tuomas Virtanen:
Complex ISNMF: a Phase-Aware Model for Monaural Audio Source Separation. - Jan Seeger, Rohit A. Deshmukh, Arne Bröring:
Running Distributed and Dynamic IoT Choreographies. - Keren Censor-Hillel, Michal Dory:
Distributed Spanner Approximation. - Hung Le, Quang Pham, Doyen Sahoo, Steven C. H. Hoi:
URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection. - Young-Jin Oh, Tae Min Lee, In-Kwon Lee:
Hierarchical Cloth Simulation using Deep Neural Networks. - Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li:
Adversarial Metric Learning. - Long Yang, Minhao Shi, Qian Zheng, Wenjia Meng, Gang Pan:
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning. - Faheem Ullah, Muhammad Ali Babar:
Architectural Tactics for Big Data Cybersecurity Analytic Systems: A Review. - Dongwoo Kim, Christian J. Walder:
Self-Bounded Prediction Suffix Tree via Approximate String Matching. - Franziska Boenisch, Benjamin Rosemann, Benjamin Wild, Fernando Wario, David M. Dormagen, Tim Landgraf:
Tracking all members of a honey bee colony over their lifetime. - Ahmed Elzanaty, Andrea Giorgetti, Marco Chiani:
Limits on Sparse Data Acquisition: RIC Analysis of Finite Gaussian Matrices. - Martin Mirakyan, Karen Hambardzumyan, Hrant Khachatrian:
Natural Language Inference over Interaction Space: ICLR 2018 Reproducibility Report. - Arun Babu Puthuparambil, Jithin Jose Thomas:
Freestyle, a randomized version of ChaCha for resisting offline brute-force and dictionary attacks. - Youhei Akimoto, Anne Auger, Tobias Glasmachers:
Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule. - Chris Bradley, Nehzat Emamy, Thomas Ertl, Dominik Göddeke, Andreas Hessenthaler, Thomas Klotz, Aaron Krämer, Michael Krone, Benjamin Maier, Miriam Mehl, Tobias Rau, Oliver Röhrle:
Towards realistic HPC models of the neuromuscular system. - Jordi Grau-Moya, Felix Leibfried, Haitham Bou-Ammar:
Balancing Two-Player Stochastic Games with Soft Q-Learning. - Yanlong Wang, Xu Liang, Baoan Li, Xuemin Yu:
Research and Implementation of Global Path Planning for Unmanned Surface Vehicle Based on Electronic Chart. - Kenjiro Takazawa:
The b-bibranching Problem: TDI System, Packing, and Discrete Convexity. - Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor:
Learning Robust Options. - Xiaotian Li, Juha Ylioinas, Juho Kannala:
Full-Frame Scene Coordinate Regression for Image-Based Localization. - Myeongjun Jang, Seungwan Seo, Pilsung Kang:
Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence Learning. - Avi Rosenfeld, Ron Illuz, Dovid Gottesman, Mark Last:
Using Discretization for Extending the Set of Predictive Features. - Andru Putra Twinanda, Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations. - Chaowei Fang, Zicheng Liao, Yizhou Yu:
Piecewise Flat Embedding for Image Segmentation. - Jun Xiang, Guoshuai Zhang, Jianhua Hou, Nong Sang, Rui Huang:
Multiple Target Tracking by Learning Feature Representation and Distance Metric Jointly. - Wentong Liao, Michael Ying Yang, Ni Zhan, Bodo Rosenhahn:
Triplet-based Deep Similarity Learning for Person Re-Identification. - Manuel Bodirsky, Florent R. Madelaine, Antoine Mottet:
A universal-algebraic proof of the complexity dichotomy for Monotone Monadic SNP. - Michael Ying Yang, Wentong Liao, Yanpeng Cao, Bodo Rosenhahn:
Video Event Recognition and Anomaly Detection by Combining Gaussian Process and Hierarchical Dirichlet Process Models. - Hieu Pham, Melody Y. Guan, Barret Zoph, Quoc V. Le, Jeff Dean:
Efficient Neural Architecture Search via Parameter Sharing. - Lihang Liu, Weiyao Lin, Lisheng Wu, Yong Yu, Michael Ying Yang:
Unsupervised Deep Domain Adaptation for Pedestrian Detection. - Wanli Wen, Ying Cui, Fu-Chun Zheng, Shi Jin, Yanxiang Jiang:
Enhancing Performance of Random Caching in Large-Scale Heterogeneous Wireless Networks with Random Discontinuous Transmission. - Timur Kuzhagaliyev, Neil T. Clancy, Mirek Janatka, Kevin Tchaka, Francisco Vasconcelos, Matthew J. Clarkson, Kurinchi Gurusamy, David J. Hawkes, Brian R. Davidson, Danail Stoyanov:
Augmented Reality needle ablation guidance tool for Irreversible Electroporation in the pancreas. - Oliver Müller, Michael Ying Yang, Bodo Rosenhahn:
Slice Sampling Particle Belief Propagation. - Michael Ying Yang, Matthias Reso, Jun Tang, Wentong Liao, Bodo Rosenhahn:
Temporally Object-based Video Co-Segmentation. - Kota Srinivas Reddy, Sharayu Moharir, Nikhil Karamchandani:
Resource Pooling in Large-Scale Content Delivery Systems. - Assaf J. Kfoury:
Mathematical Logic in Computer Science. - Luca Consolini, Marco Locatelli, Andrea Minari, Ákos Nagy, István Vajk:
Optimal time-complexity speed planning for robot manipulators. - Moritz von Looz, Henning Meyerhenke:
Updating Dynamic Random Hyperbolic Graphs in Sublinear Time. - Frieder Stolzenburg, Olivia Michael, Oliver Obst:
Predictive Neural Networks. - Lorena A. Barba:
Terminologies for Reproducible Research. - José L. Núñez-Yáñez, Mohammad Hosseinabady, Moslem Amiri, Andrés Rodríguez, Rafael Asenjo, Angeles G. Navarro, Ruben Gran Tejero, Darío Suárez Gracia:
Parallelizing Workload Execution in Embedded and High-Performance Heterogeneous Systems. - Audrey G. Chung, Paul W. Fieguth, Alexander Wong:
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence. - Kuize Zhang, Xiang Yin, Majid Zamani:
Opacity of nondeterministic transition systems: A (bi)simulation relation approach. - Pablo Negri:
Shapes Characterization on Address Event Representation Using Histograms of Oriented Events and an Extended LBP Approach. - Niloofar Bahadori, Nima Namvar, Brian Kelley, Abdollah Homaifar:
Device-to-Device Communications in the Millimeter Wave Band: A Novel Distributed Mechanism. - (Withdrawn) The Monadic Second Order Theory of Grid-Free 1-Safe Petri Nets is Decidable.
- Di Wang, Jinhui Xu:
Large Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning. - Tobias Grüning, Gundram Leifert, Tobias Strauß, Roger Labahn:
A Two-Stage Method for Text Line Detection in Historical Documents. - Yun-Chun Chen, Yu-Jhe Li, Aragorn Tseng, Tsungnan Lin:
Deep Learning for Malicious Flow Detection. - Matias Martinez, Martin Monperrus:
Astor: Exploring the Design Space of Generate-and-Validate Program Repair beyond GenProg. - Jeffrey Knockel, Thomas Ristenpart, Jedidiah R. Crandall:
When Textbook RSA is Used to Protect the Privacy of Hundreds of Millions of Users. - Sai Qian Zhang, H. T. Kung, Youngjune Gwon:
InferBeam: A Fast Beam Alignment Protocol for Millimeter-wave Networking. - Amarjot Singh, Nick G. Kingsbury:
Generative ScatterNet Hybrid Deep Learning (G-SHDL) Network with Structural Priors for Semantic Image Segmentation. - Bartosz Piotrowski, Josef Urban:
ATPboost: Learning Premise Selection in Binary Setting with ATP Feedback. - Daniel Gall, Thom W. Frühwirth:
Confluence Modulo Equivalence with Invariants in Constraint Handling Rules. - Zeyuan Allen-Zhu, Sébastien Bubeck, Yuanzhi Li:
Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits. - Eleftherios Lampiris, Petros Elia:
Adding transmitters dramatically boosts coded-caching gains for finite file sizes. - Matthew Ricci, Junkyung Kim, Thomas Serre:
Not-So-CLEVR: Visual Relations Strain Feedforward Neural Networks. - Avi Rosenfeld, Sigal Sina, David Sarne, Or Avidov, Sarit Kraus:
A Study of WhatsApp Usage Patterns and Prediction Models without Message Content. - Ruy Fabila Monroy, Alfredo García Olaverri, Ferran Hurtado, Rafel Jaume, Pablo Pérez-Lantero, Maria Saumell, Rodrigo I. Silveira, Javier Tejel, Jorge Urrutia:
Colored ray configurations. - Cédric Beaulac, Fabrice Larribe:
Narrow Artificial Intelligence with Machine Learning for Real-Time Estimation of a Mobile Agents Location Using Hidden Markov Models. - W. Spencer Smith, D. Adam Lazzarato, Jacques Carette:
State of the Practice for GIS Software. - Yichen Zhang, Kevin Tomsovic, Seddik M. Djouadi, Héctor Pulgar-Painemal:
Hybrid Controller for Wind Turbine Generators to Ensure Adequate Frequency Response in Power Networks. - Sinong Wang, Jiashang Liu, Ness B. Shroff:
Coded Sparse Matrix Multiplication. - Tao Cui, Xiaohu Guo, Hui Liu:
GPU Accelerated Finite Element Assembly with Runtime Compilation. - Leonardo Stella, Dario Bauso:
Mean-field Games for Bio-inspired Collective Decision-making in Dynamical Networks. - Cosmin Bonchis, Gabriel Istrate, Vlad Rochian:
The language (and series) of Hammersley-type processes. - Zhengshuo Li, Hongbin Sun, Qinglai Guo:
Generalized Master-Slave-Splitting Method and Application to Transmission-Distribution Coordinated Energy Management. - Or Sheffet:
Locally Private Hypothesis Testing. - Yichen Zhang, Alexander Melin, Mohammed M. Olama, Seddik M. Djouadi, Jin Dong, Kevin Tomsovic:
Battery Energy Storage Scheduling for Optimal Load Variance Minimization. - Ali Borji:
Pros and Cons of GAN Evaluation Measures. - Jihong Park, Petar Popovski, Osvaldo Simeone:
Supporting VR Mobile Social Networks over Wireless Cellular Systems. - Mingzhi Dong, Yujiang Wang, Xiaochen Yang, Jing-Hao Xue:
Learning Local Metrics and Influential Regions for Classification. - Alexander Frömmgen, Denny Stohr, Boris Koldehofe, Amr Rizk:
Don't Repeat Yourself: Seamless Execution and Analysis of Extensive Network Experiments. - Zhichuang Sun, Bo Feng, Long Lu, Somesh Jha:
OEI: Operation Execution Integrity for Embedded Devices. - Mingzhi Dong, Xiaochen Yang, Yang Wu, Jing-Hao Xue:
Metric Learning via Maximizing the Lipschitz Margin Ratio. - Bing Li:
Programming Requests/Responses with GreatFree in the Cloud Environment. - Martin Simonovsky, Nikos Komodakis:
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders. - Ali Shameli, Yasin Abbasi-Yadkori:
A Continuation Method for Discrete Optimization and its Application to Nearest Neighbor Classification. - Ziyi Chen:
An LSTM Recurrent Network for Step Counting. - Chulhee Yun, Suvrit Sra, Ali Jadbabaie:
A Critical View of Global Optimality in Deep Learning. - Mehrdad Farajtabar, Yinlam Chow, Mohammad Ghavamzadeh:
More Robust Doubly Robust Off-policy Evaluation. - Yihui He, Song Han:
ADC: Automated Deep Compression and Acceleration with Reinforcement Learning. - Zilong Zhong, Jonathan Li:
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification. - David van Dijk, Scott Gigante, Alexander Strzalkowski, Guy Wolf, Smita Krishnaswamy:
Modeling Dynamics with Deep Transition-Learning Networks. - Carlo Tiseo, Ming Jeat Foo, Kalyana C. Veluvolu, Wei Tech Ang:
The Strange Attractor of Bipedal Locomotion and Consequences on Motor Control. - Chuanyun Xu, Yang Zhang, Xin Feng, Yongxing Ge, Yihao Zhang, Jianwu Long:
Local Contrast Learning. - Yunyou Huang, Jianfeng Zhan, Chunjie Luo, Lei Wang, Nana Wang, Daoyi Zheng, Fanda Fan, Rui Ren:
A veracity preserving model for synthesizing scalable electricity load profiles. - Ofir Nachum, Yinlam Chow, Mohammad Ghavamzadeh:
Path Consistency Learning in Tsallis Entropy Regularized MDPs. - Emanuele Sansone, Quoc-Tin Phan, Francesco G. B. De Natale:
Plummer Autoencoders. - Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan, Thanh-Toan Do, Tuan-Anh Bui, Ngai-Man Cheung:
On-device Scalable Image-based Localization. - Wenhao Ding, Shuaijun Li, Guilin Zhang, Xiangyu Lei, Huihuan Qian, Yangsheng Xu:
Vehicle Three-Dimensional Pose and Shape Estimation from Multiple Monocular Vision. - Junyuan Hong, Huanhuan Chen, Feng Lin:
Disturbance Grassmann Kernels for Subspace-Based Learning. - Rodrigo Minetto, Maurício Pamplona Segundo, Sudeep Sarkar:
Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land Classification. - Abdeslem Hafid Bentbib, Mohamed El Guide, Khalide Jbilou:
A generalized matrix Krylov subspace method for TV regularization. - Xintao Duan, Haoxian Song:
Coverless information hiding based on Generative Model. - Hongliang Liang, Mingyu Li, Qiong Zhang, Yue Yu, Lin Jiang, Yixiu Chen:
Aurora: Providing Trusted System Services for Enclaves On an Untrusted System. - Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang:
Collaborative Learning for Weakly Supervised Object Detection. - Wenyi Wang, William J. Welch:
Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter. - Soonam Lee, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction. - A. V. Palagin, N. G. Petrenko, V. Yu. Velychko, K. S. Malakhov, Yu. L. Tikhonov:
To the problem of "The Instrumental complex for ontological engineering purpose" software system design. - Florian Adriaens, Tijl De Bie, Aristides Gionis, Jefrey Lijffijt, Polina Rozenshtein:
From acquaintance to best friend forever: robust and fine-grained inference of social tie strengths. - Weiming Xiang, Diego Manzanas Lopez, Patrick Musau, Taylor T. Johnson:
Reachable Set Estimation and Verification for Neural Network Models of Nonlinear Dynamic Systems. - Tianyin Xu, Darko Marinov:
Mining Container Image Repositories for Software Configuration and Beyond. - Yihan Gao, Chao Zhang, Jian Peng, Aditya G. Parameswaran:
Low-Norm Graph Embedding. - Peter-Christian Quint, Nane Kratzke:
Towards a Lightweight Multi-Cloud DSL for Elastic and Transferable Cloud-native Applications. - Nane Kratzke:
About being the Tortoise or the Hare? - A Position Paper on Making Cloud Applications too Fast and Furious for Attackers. - Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesus, Francisco Herrera:
Tips, guidelines and tools for managing multi-label datasets: the mldr.datasets R package and the Cometa data repository. - John D. Gallacher, Vlad Barash, Philip N. Howard, John Kelly:
Junk News on Military Affairs and National Security: Social Media Disinformation Campaigns Against US Military Personnel and Veterans. - Philip N. Howard, Bence Kollanyi, Samantha Bradshaw, Lisa-Maria Neudert:
Social Media, News and Political Information during the US Election: Was Polarizing Content Concentrated in Swing States? - Hassan Yeganeh, Javane Rostampoor:
Downlink User Association and Uplink Scheduling for Energy Harvesting Users in Software-Defined Mobile Networks. - Kyung Pyo Ko, Kwang Hee Lee, Mi So Jang, Gun Hong Park:
2-gram-based Phonetic Feature Generation for Convolutional Neural Network in Assessment of Trademark Similarity. - Ali Shahin Shamsabadi, Hamed Haddadi, Andrea Cavallaro:
Distributed One-class Learning. - Botong Wu, Zhen Zhou, Jianwei Wang, Yizhou Wang:
Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction. - Tobias Heuer, Peter Sanders, Sebastian Schlag:
Network Flow-Based Refinement for Multilevel Hypergraph Partitioning. - Galip Aydin, Ibrahim Riza Hallac:
Distributed Log Analysis on the Cloud Using MapReduce. - Álvaro Peris, Francisco Casacuberta:
Online Learning for Effort Reduction in Interactive Neural Machine Translation. - Fengwei Zhou, Bin Wu, Zhenguo Li:
Deep Meta-Learning: Learning to Learn in the Concept Space. - Galip Aydin, Ibrahim Riza Hallac:
Document Classification Using Distributed Machine Learning. - Mei Wang, Weihong Deng:
Deep Visual Domain Adaptation: A Survey. - Güngör Yildirim, Ibrahim Riza Hallac, Galip Aydin, Yetkin Tatar:
Running genetic algorithms on Hadoop for solving high dimensional optimization problems. - Gong-Duo Zhang, Shen-Yi Zhao, Hao Gao, Wu-Jun Li:
Feature-Distributed SVRG for High-Dimensional Linear Classification. - Matthew Guzdial, Mark O. Riedl:
Combinets: Learning New Classifiers via Recombination. - Galip Aydin, Ibrahim Riza Hallac:
Distributed NLP. - Zhun Fan, Yi Fang, Wenji Li, Xinye Cai, Caimin Wei, Erik D. Goodman:
MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems. - Anatoly D. Plotnikov:
Searching isomorphic graphs. - (Withdrawn) Security level analysis of academic information systems based on standard ISO 27002: 2003 using SSE-CMM.
- Tao Tan, Zhang Li, Haixia Liu, Ping Liu, Wenfang Tang, Hui Li, Yue Sun, Yusheng Yan, Keyu Li, Tao Xu, Shanshan Wan, Ke Lou, Jun Xu, Huiming Ying, Quchang Ouyang, Yuling Tang, Zheyu Hu, Qiang Li:
Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning. - Dmitry Yarotsky:
Optimal approximation of continuous functions by very deep ReLU networks. - (Withdrawn) Preliminary result on stochastic system control theory for aperiod sample-data systems.
- Anupama Aggarwal, Saravana Kumar, Kushagra Bhargava, Ponnurangam Kumaraguru:
The Follower Count Fallacy: Detecting Twitter Users with Manipulated Follower Count. - Han Qiu, Hoang Thanh Lam, Francesco Fusco, Mathieu Sinn:
Learning Correlation Space for Time Series. - Saurabh Joshi, Subrahmanyam Kalyanasundaram, Anjeneya Swami Kare, Sriram Bhyravarapu:
On the Tractability of (k, i)-Coloring. - Tommaso Soru, André Valdestilhas, Edgard Marx, Axel-Cyrille Ngonga Ngomo:
Beyond Markov Logic: Efficient Mining of Prediction Rules in Large Graphs. - Yehia Elkhatib, Faiza Samreen, Gordon S. Blair:
Same Same, but Different: A Descriptive Differentiation of Intra-cloud Iaas Services. - Krishnendu Chatterjee, Laurent Doyen:
Graph Planning with Expected Finite Horizon. - Yukun Ding, Jinglan Liu, Yiyu Shi:
On the Universal Approximability of Quantized ReLU Neural Networks. - Jakub Marecek, Stathis Maroulis, Vana Kalogeraki, Dimitrios Gunopulos:
Low-Rank Methods in Event Detection. - Farhad Merchant, Tarun Vatwani, Anupam Chattopadhyay, Soumyendu Raha, S. K. Nandy, Ranjani Narayan:
Achieving Efficient Realization of Kalman Filter on CGRA through Algorithm-Architecture Co-design. - Harris Partaourides, Sotirios Chatzis:
Deep learning with t-exponential Bayesian kitchen sinks. - Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
Beyond the One Step Greedy Approach in Reinforcement Learning. - Benyou Wang, Li Wang, Qikang Wei:
TextZoo, a New Benchmark for Reconsidering Text Classification. - Marc Hellmuth:
Generalized Fitch Graphs: Edge-labeled Graphs that are explained by Edge-labeled Trees. - Yousef Abuseta:
An Investigation of the Monitoring Activity in Self Adaptive Systems. - Yuke Li, A. Stephen Morse:
The Power Allocation Game on A Network: A Paradox. - Bernhard Haeupler, Jason Li:
Faster Distributed Shortest Path Approximations via Shortcuts. - Fatima Salahdine:
Compressive Spectrum Sensing for Cognitive Radio Networks. - Sandeep Konam, Ian Quah, Stephanie Rosenthal, Manuela M. Veloso:
Understanding Convolutional Networks with APPLE : Automatic Patch Pattern Labeling for Explanation. - Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, David J. DeWitt, Sam Madden:
Unthule: An Incremental Graph Construction Process for Robust Road Map Extraction from Aerial Images. - Daniel Selsam, Matthew Lamm, Benedikt Bünz, Percy Liang, Leonardo de Moura, David L. Dill:
Learning a SAT Solver from Single-Bit Supervision. - Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Control Memory Augmented Neural Networks for Treatment Recommendations. - Xinyun Chen, Chang Liu, Dawn Song:
Tree-to-tree Neural Networks for Program Translation. - Jintao Ke, Shuaichao Zhang, Hai Yang, Xiqun Chen:
PCA-Based Missing Information Imputation for Real-Time Crash Likelihood Prediction Under Imbalanced Data. - Ruijiu Mao, Vaneet Aggarwal, Mung Chiang:
Stochastic Non-preemptive Co-flow Scheduling with Time-Indexed Relaxation. - Sourish Dasgupta, Ankur Padia, Gaurav Maheshwari, Priyansh Trivedi, Jens Lehmann:
Formal Ontology Learning from English IS-A Sentences. - Zhipeng Xue, Xiaojun Yuan, Junjie Ma, Yi Ma:
TARM: A Turbo-type Algorithm for Affine Rank Minimization. - Wenfeng Liu, Da Chen, Kai Luo, Tao Jiang, Daiming Qu:
FDM-Structured Preamble Optimization for Channel Estimation in MIMO-OQAM/FBMC Systems. - Bernd Malle, Nicola Giuliani, Peter Kieseberg, Andreas Holzinger:
The Need for Speed of AI Applications: Performance Comparison of Native vs. Browser-based Algorithm Implementations. - Rodolfo Delmonte:
Syntax and Semantics of Italian Poetry in the First Half of the 20th Century. - Jiawei Su, Danilo Vasconcellos Vargas, Sanjiva Prasad, Daniele Sgandurra, Yaokai Feng, Kouichi Sakurai:
Lightweight Classification of IoT Malware based on Image Recognition. - Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati:
Evolving Latent Space Model for Dynamic Networks. - Paolo Baldan, Roberto Bruni, Andrea Corradini, Fabio Gadducci, Hernán C. Melgratti, Ugo Montanari:
Event Structures for Petri nets with Persistence. - Pintu Chauhan, Manjish Pal, Napendra Solanki:
Rederiving the Upper Bound for Halving Edges using Cardano's Formula. - Razan Tajeddine, Oliver W. Gnilke, David A. Karpuk, Ragnar Freij-Hollanti, Camilla Hollanti:
Robust Private Information Retrieval from Coded Systems with Byzantine and Colluding Servers. - Ales Bizjak, Rasmus Ejlers Møgelberg:
Denotational semantics for guarded dependent type theory. - Berry Schoenmakers:
Binary Pebbling Algorithms for In-Place Reversal of One-Way Hash Chains. - András Attila Sulyok, Gábor Dániel Balogh, István Zoltan Reguly, Gihan R. Mudalige:
Improving Locality of Unstructured Mesh Algorithms on GPUs. - Zheng Qin, Zhaoning Zhang, Xiaotao Chen, Yuxing Peng:
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy. - Gellért Weisz, Pawel Budzianowski, Pei-Hao Su, Milica Gasic:
Sample Efficient Deep Reinforcement Learning for Dialogue Systems with Large Action Spaces. - Khaled Ammar, Frank McSherry, Semih Salihoglu, Manas Joglekar:
Distributed Evaluation of Subgraph Queries Using Worstcase Optimal LowMemory Dataflows. - Matt Olfat, Anil Aswani:
Convex Formulations for Fair Principal Component Analysis. - Daniel Kraus:
Machine Learning and Evolutionary Computing for GUI-based Regression Testing. - Nai-Sheng Syu, Yu-Sheng Chen, Yung-Yu Chuang:
Learning Deep Convolutional Networks for Demosaicing. - Jan Svoboda, Thomas J. Cashman, Andrew W. Fitzgibbon:
QRkit: Sparse, Composable QR Decompositions for Efficient and Stable Solutions to Problems in Computer Vision. - Shiyu Duan, Yunmei Chen, José C. Príncipe:
Learning Multiple Levels of Representations with Kernel Machines. - Stefan Jaksic, Ezio Bartocci, Radu Grosu, Dejan Nickovic:
An Algebraic Framework for Runtime Verification. - Klas Leino, Linyi Li, Shayak Sen, Anupam Datta, Matt Fredrikson:
Influence-Directed Explanations for Deep Convolutional Networks. - Justin Sybrandt, Ilya Safro:
Validation and Topic-driven Ranking for Biomedical Hypothesis Generation Systems. - Daphna Weinshall, Gad Cohen:
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks. - Caroline Trippel, Daniel Lustig, Margaret Martonosi:
MeltdownPrime and SpectrePrime: Automatically-Synthesized Attacks Exploiting Invalidation-Based Coherence Protocols. - Daniela Massiceti, N. Siddharth, Puneet Kumar Dokania, Philip H. S. Torr:
FlipDial: A Generative Model for Two-Way Visual Dialogue. - Jeff Zhang, Kartheek Rangineni, Zahra Ghodsi, Siddharth Garg:
ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators. - Yanju Gu, Sonia Aïssa:
RF-based Energy Harvesting in Decode-and-Forward Relaying Systems: Ergodic and Outage Capacities. - Alexander Kozachinskiy:
Recognizing Read-Once Functions from Depth-Three Formulas. - Skanda Koppula, Khe Chai Sim, Kean K. Chin:
Understanding Recurrent Neural State Using Memory Signatures. - Betul Karakus, Ibrahim Riza Hallac, Galip Aydin:
Distributed Readability Analysis Of Turkish Elementary School Textbooks. - Giovanni Amendola, Francesco Ricca, Miroslaw Truszczynski:
New Models for Generating Hard Random Boolean Formulas and Disjunctive Logic Programs. - Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets:
Quadrature-based features for kernel approximation. - Jong Hwan Ko, Taesik Na, Mohammad Faisal Amir, Saibal Mukhopadhyay:
Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms. - Omid Semiari, Walid Saad, Mehdi Bennis, Mérouane Debbah:
Integrated Millimeter Wave and Sub-6 GHz Wireless Networks: A Roadmap for Ultra-Reliable Low-Latency Communications. - Nabil Giweli, Seyed A. Shahrestani, Hon Cheung:
Spectrum Sensing Strategy to Enhance the QoS in White-Fi Networks. - Pankaj Khanchandani, Roger Wattenhofer:
Is Compare-and-Swap Really Necessary? - Yunshi Liu, Pujana Paliyawan, Takahiro Kusano, Tomohiro Harada, Ruck Thawonmas:
A Personalized Method for Calorie Consumption Assessment. - Feichen Shen, Yugyung Lee:
MedTQ: Dynamic Topic Discovery and Query Generation for Medical Ontologies. - Yu-Ao Chen, Xiao-Shan Gao, Chun-Ming Yuan:
Quantum Algorithms for Optimization and Polynomial Systems Solving over Finite Fields. - Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan:
Machine Learning-based Variability Handling in IoT Agents. - Zeyuan Allen-Zhu:
Katyusha X: Practical Momentum Method for Stochastic Sum-of-Nonconvex Optimization. - Nicholas Woolsey, Rong-Rong Chen, Mingyue Ji:
A New Combinatorial Design of Coded Distributed Computing. - Naresh Manwani:
PRIL: Perceptron Ranking Using Interval Labeled Data. - Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins:
Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks. - Trung Kien Vu, Mehdi Bennis, Mérouane Debbah, Matti Latva-aho, Choong Seon Hong:
Ultra-Reliable Communication in 5G mmWave Networks: A Risk-Sensitive Approach. - Yan Chen, Alireza Bayesteh, Yiqun Wu, Bin Ren, Shaoli Kang, Shaohui Sun, Qi Xiong, Chen Qian, Bin Yu, Zhiguo Ding, Sen Wang, Shuangfeng Han, Xiaolin Hou, Hao Lin, Raphaël Visoz, Razieh Razavi:
Towards the Standardization of Non-orthogonal Multiple Access for Next Generation Wireless Networks. - Sang-Woo Lee, Yu-Jung Heo, Byoung-Tak Zhang:
Answerer in Questioner's Mind for Goal-Oriented Visual Dialogue. - Mihailo Isakov, Michel A. Kinsy:
ClosNets: a Priori Sparse Topologies for Faster DNN Training. - Ian R. Petersen, Matthew R. James, Valery A. Ugrinovskii, Naoki Yamamoto:
A Systems Theory Approach to the Synthesis of Minimum Noise Phase-Insensitive Quantum Amplifiers. - Scott M. Lundberg, Gabriel G. Erion, Su-In Lee:
Consistent Individualized Feature Attribution for Tree Ensembles. - Madhavun Candadai Vasu, Eduardo J. Izquierdo:
Three levels of neural reuse through the dynamical lens: structural network, autonomous dynamics and transient dynamics. - Xiaoyang Zhong, Yao Liang:
Scalable Downward Routing for Wireless Sensor Networks and Internet of Things Actuation. - Devavrat Shah, Qiaomin Xie:
Q-learning with Nearest Neighbors. - Haowen Xu, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, Dan Pei, Yang Feng, Jie Chen, Zhaogang Wang, Honglin Qiao:
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications. - Zhiyi Huang, Ning Kang, Zhihao Gavin Tang, Xiaowei Wu, Yuhao Zhang, Xue Zhu:
How to Match when All Vertices Arrive Online. - Fuhui Zhou, Zheng Chu, Haijian Sun, Victor C. M. Leung:
Resource Allocation for Secure MISO-NOMA Cognitive Radios Relying on SWIPT. - Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay, Anupam Chattopadhyay:
RAPPER: Ransomware Prevention via Performance Counters. - Otmar Ertl:
BagMinHash - Minwise Hashing Algorithm for Weighted Sets. - Zachary C. Lipton, Yu-Xiang Wang, Alexander J. Smola:
Detecting and Correcting for Label Shift with Black Box Predictors. - Ishay Haviv:
On Minrank and the Lovász Theta Function. - Eduard Enoiu, Mirgita Frasheri:
Test Agents: Adaptive, Autonomous and Intelligent Test Cases. - István Módos, Premysl Sucha, Zdenek Hanzálek:
Algorithms for robust production scheduling with energy consumption limits. - Hyomin Choi, Ivan V. Bajic:
Deep feature compression for collaborative object detection. - Wen-Ding Li, Ming-Shing Chen, Po-Chun Kuo, Chen-Mou Cheng, Bo-Yin Yang:
Frobenius Additive Fast Fourier Transform. - Xiaochuan Fan, Hao Guo, Kang Zheng, Wei Feng, Song Wang:
Object Detection with Mask-based Feature Encoding. - Stéphane Bessy, Stefan Ehard, Lucia Draque Penso, Dieter Rautenbach:
Dynamic monopolies for interval graphs with bounded thresholds. - Anne Morvan, Antoine Souloumiac, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif:
On the Needs for Rotations in Hypercubic Quantization Hashing. - Yehuda Dar, Michael Elad, Alfred M. Bruckstein:
Compression for Multiple Reconstructions. - Franziska Schirrmacher, Thomas Köhler, Tobias Lindenberger, Lennart Husvogt, Jürgen Endres, James G. Fujimoto, Joachim Hornegger, Arnd Dörfler, Philip Hoelter, Andreas K. Maier:
Temporal and Volumetric Denoising via Quantile Sparse Image (QuaSI) Prior in Optical Coherence Tomography and Beyond. - Fredrik Johansson, Marc Mezzarobba:
Fast and rigorous arbitrary-precision computation of Gauss-Legendre quadrature nodes and weights. - Huyen T. T. Nguyen, César Rodríguez, Marcelo Sousa, Camille Coti, Laure Petrucci:
Quasi-Optimal Partial Order Reduction. - Ana I. Pérez-Neira, Miguel Ángel Vázquez, Sina Maleki, M. R. Bhavani Shankar, Symeon Chatzinotas:
Signal Processing for High Throughput Satellite Systems: Challenges in New Interference-Limited Scenarios. - Deepak Kumar Gupta, Shruti Goyal:
Email Classification into Relevant Category Using Neural Networks. - Mohammed Amin Abdullah, Aldo Pacchiano, Moez Draief:
A note on reinforcement learning with Wasserstein distance regularisation, with applications to multipolicy learning. - Silvio Giancola, Jens Schneider, Peter Wonka, Bernard Ghanem:
Integration of Absolute Orientation Measurements in the KinectFusion Reconstruction pipeline. - Elad Hazan, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang:
Spectral Filtering for General Linear Dynamical Systems. - Junliang Guo, Linli Xu, Enhong Chen:
SPINE: Structural Identity Preserved Inductive Network Embedding. - Fahad Sohrab, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis:
Subspace Support Vector Data Description. - Ertan Kazikli, Sinan Gezici:
Hybrid TDOA/RSS Based Localization for Visible Light Systems. - Manuel Kauers, Martina Seidl:
Symmetries of Quantified Boolean Formulas. - Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Zheng Yang, Yunhao Liu:
Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks. - Benedek Rozemberczki, Ryan Davies, Rik Sarkar, Charles Sutton:
GEMSEC: Graph Embedding with Self Clustering. - David Insa, Sergio Pérez, Josep Silva, Salvador Tamarit:
Erlang Code Evolution Control (Use Cases). - Zarathustra Amadeus Goertzel, Jan Jakubuv, Stephan Schulz, Josef Urban:
ProofWatch: Watchlist Guidance for Large Theories in E. - Yuan Jin, Mark James Carman, Ye Zhu, Wray L. Buntine:
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. - Alexander Kozachinskiy:
Raz-McKenzie simulation: new gadget and unimprovability of Thickness Lemma. - Rafael Capilla, Elisa Yumi Nakagawa, Uwe Zdun, Carlos Carrillo:
Toward Architectural Knowledge Sustainability. New Opportunities to Extend the Longevity of Systems. - Pierre Baqué, Edoardo Remelli, François Fleuret, Pascal Fua:
Geodesic Convolutional Shape Optimization. - Ronan Fruit, Matteo Pirotta, Alessandro Lazaric, Ronald Ortner:
Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning. - L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi:
Fair and Diverse DPP-based Data Summarization. - Sarai Duek, Shaul Markovitch:
Automatic Generation of Language-Independent Features for Cross-Lingual Classification. - Giacomo Kahn, Alexandre Bazin:
Introducer Concepts in n-Dimensional Contexts. - Hanxu Hou, Patrick P. C. Lee, Kenneth W. Shum, Yuchong Hu:
Rack-Aware Regenerating Codes for Data Centers. - Giacomo Kahn, Alexandre Bazin:
Average Size of Implicational Bases. - Yusuke Tsuzuku, Issei Sato, Masashi Sugiyama:
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks. - Antoine Messager, George Parisis, Istvan Z. Kiss, Robert Harper, Phil Tee, Luc Berthouze:
Inferring the time-varying functional connectivity of large-scale computer networks from emitted events. - Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic:
One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategies. - Davide Mottin, Bastian Grasnick, Axel Kroschk, Patrick Siegler, Emmanuel Müller:
Notable Characteristics Search through Knowledge Graphs. - Moritz August, José Miguel Hernández-Lobato:
Taking gradients through experiments: LSTMs and memory proximal policy optimization for black-box quantum control. - Paulin Fournier, Hugo Gimbert:
Alternating Nonzero Automata. - Weinan Huang, Junyi Chen, Lei Meng, David Lillis:
Towards an Open Science Platform for the Evaluation of Data Fusion. - Muhammad Asim, Fahad Shamshad, Ali Ahmed:
Solving Bilinear Inverse Problems using Deep Generative Priors. - Fatima Ezzahra Airod, Houda Chafnaji, Halim Yanikomeroglu:
Performance Analysis of Low Latency Multiple Full-Duplex Selective Decode and Forward Relays. - Víctor Mayoral, Risto Kojcev, Nora Etxezarreta, Alejandro Hernández, Irati Zamalloa:
Towards self-adaptable robots: from programming to training machines. - Di Wang, Marco Gaboardi, Jinhui Xu:
Efficient Empirical Risk Minimization with Smooth Loss Functions in Non-interactive Local Differential Privacy. - Elias Alevizos, Alexander Artikis, Nikos Katzouris, Evangelos Michelioudakis, Georgios Paliouras:
The Complex Event Recognition Group. - Alexandros Liapis, Christos Katsanos, Michalis Xenos:
Don't Leave Me Alone: Retrospective Think Aloud supported by Real-time Monitoring of Participant's Physiology. - Subhash C. Kak:
Reasoning in a Hierarchical System with Missing Group Size Information. - Tevfik Bulut:
A New Multi Criteria Decision Making Method: Approach of Logarithmic Concept (APLOCO). - Marcos Báez, Fabio Casati:
Agile development for vulnerable populations: lessons learned and recommendations. - Hidayet Aksu, Leonardo Babun, Mauro Conti, Gabriele Tolomei, A. Selcuk Uluagac:
Advertising in the IoT Era: Vision and Challenges. - Tobias Holstein, Gordana Dodig-Crnkovic, Patrizio Pelliccione:
Ethical and Social Aspects of Self-Driving Cars. - Andrés E. Gómez, Tiago C. dos Santos, Carlos M. Massera, Arthur De Miranda Neto, Denis F. Wolf:
Driving Simulator Platform for Development and Evaluation of Safety and Emergency Systems. - Sarathkumar Rangarajan, Huai Liu, Hua Wang, Chuan-Long Wang:
Scalable Architecture for Personalized Healthcare Service Recommendation using Big Data Lake. - Hayder Hbail:
Design a multicultural blended e-learning system. - Ismail Kayali:
Analysis of Complex System Development Based on Fuzzy Cognitive Mapping. - Swaminathan Gopalswamy, Sivakumar Rathinam:
Infrastructure Enabled Autonomy: A Distributed Intelligence Architecture for Autonomous Vehicles. - Xiao-Lei Zhang:
Linear Regression for Speaker Verification. - Yi Wang, Qixin Chen, Tao Hong, Chongqing Kang:
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges. - Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes:
Tagvisor: A Privacy Advisor for Sharing Hashtags. - Arif Gürsoy, Ibrahim Senturk, Tahsin Oner:
A New Algorithmic Decision for Catergorical Syllogisms via Caroll's Diagrams. - Dylan te Lindert, Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe:
Smart energy management as a means towards improved energy efficiency. - Risto Kojcev, Nora Etxezarreta, Alejandro Hernández, Víctor Mayoral:
Hierarchical Learning for Modular Robots. - Arnab Bag, Sikhar Patranabis, Debapriya Basu Roy, Debdeep Mukhopadhyay:
Cryptographically Secure Multi-Tenant Provisioning of FPGAs. - (Withdrawn) Making "fetch" happen: The influence of social and linguistic context on nonstandard word growth and decline.
- Suzhi Bi, Ying Jun (Angela) Zhang:
An ADMM Based Method for Computation Rate Maximization in Wireless Powered Mobile-Edge Computing Networks. - John Prpic, Araz Taeihagh, James Melton:
The Fundamentals of Policy Crowdsourcing. - Robert Robinson:
Urban vs. rural divide in HTTPS implementation for hospital websites in Illinois. - Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He:
Policy Gradients for Contextual Bandits. - Srishti Gupta, Abhinav Khattar, Arpit Gogia, Ponnurangam Kumaraguru, Tanmoy Chakraborty:
Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach. - Emanuele Parrinello, Eleftherios Lampiris, Petros Elia:
Coded Distributed Computing with Node Cooperation Substantially Increases Speedup Factors. - Marko Kleine Büning, Tomás Balyo, Carsten Sinz:
Unbounded Software Model Checking with Incremental SAT-Solving. - Robert A. Bridges, Chris Felder, Chelsey Hoff:
Dimension Reduction Using Active Manifolds. - Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat:
State Representation Learning for Control: An Overview. - K. Vikas Bharadwaj, B. Sundar Rajan:
On Index Codes for Interlinked Cycle Structured Side-Information Graphs. - Filipe Alves Neto Verri, Roberto Alves Gueleri, Qiusheng Zheng, Junbao Zhang, Liang Zhao:
Network community detection via iterative edge removal in a flocking-like system. - Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen:
Multi-Round Influence Maximization (Extended Version). - Yingqi Xiong, Bin Wang, Chi-Cheng Peter Chu, Rajit Gadh:
Electric Vehicle Driver Clustering using Statistical Model and Machine Learning. - Alexandre Bérard, Laurent Besacier, Ali Can Kocabiyikoglu, Olivier Pietquin:
End-to-End Automatic Speech Translation of Audiobooks. - Akshay Mehra, Jihun Hamm, Mikhail Belkin:
Fast Interactive Image Retrieval using large-scale unlabeled data. - Ajinkya Jain, Scott Niekum:
Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics. - Foad Sohrabi, Ya-Feng Liu, Wei Yu:
One-Bit Precoding and Constellation Range Design for Massive MIMO with QAM Signaling. - Chris Donahue, Julian J. McAuley, Miller S. Puckette:
Synthesizing Audio with Generative Adversarial Networks. - Claude Tadonki:
Basic Parallel and Distributed Computing Curriculum. - Grégory Rogez, Cordelia Schmid:
Image-based Synthesis for Deep 3D Human Pose Estimation. - Mohammadali Mohammadi, Zahra Mobini, Himal A. Suraweera, Zhiguo Ding:
Antenna Selection in Full-Duplex Cooperative NOMA Systems. - Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin, Volkan Cevher:
Let's be honest: An optimal no-regret framework for zero-sum games. - Joseph Finnegan, Stephen Brown:
A Comparative Survey of LPWA Networking. - Kulin Shah, Naresh Manwani:
Sparse and Robust Reject Option Classifier using Successive Linear Programming. - Shayan Eskandari, Jeremy Clark, Abdelwahab Hamou-Lhadj:
Buy your coffee with bitcoin: Real-world deployment of a bitcoin point of sale terminal. - MohammadReza Nazari, Afshin Oroojlooy, Lawrence V. Snyder, Martin Takác:
Deep Reinforcement Learning for Solving the Vehicle Routing Problem. - Kiril S. Shterev:
GPU implementation of algorithm SIMPLE-TS for calculation of unsteady, viscous, compressible and heat-conductive gas flows. - Augusto Amarilla:
Scalarization Methods for Many-Objective Virtual Machine Placement of Elastic Infrastructures in Overbooked Cloud Computing Data Centers Under Uncertainty. - Kijung Shin, Euiwoong Lee, Jinoh Oh, Mohammad Hammoud, Christos Faloutsos:
DiSLR: Distributed Sampling with Limited Redundancy For Triangle Counting in Graph Streams. - Karthik R, Preetam Satapath, Srivatsa Patnaik, Saurabh Priyadarshi, Rajesh Kumar Muthu:
Automatic Phone Slip Detection System. - Chengliang Yang, Anand Rangarajan, Sanjay Ranka:
Global Model Interpretation via Recursive Partitioning. - Eugenio Maria Battaglia, Jie Mei, Guillaume Dumas:
Systems of Global Governance in the Era of Human-Machine Convergence. - Vincenzo De Florio:
A hypothesis in evolutionary biology. - Michel A. Kinsy, Donato Kava, Alan Ehret, Miguel Mark:
Sphinx: A Secure Architecture Based on Binary Code Diversification and Execution Obfuscation. - Iacopo Pozzana, Emilio Ferrara:
Measuring bot and human behavioral dynamics. - Sneha Kudugunta, Emilio Ferrara:
Deep Neural Networks for Bot Detection. - Adam Badawy, Emilio Ferrara, Kristina Lerman:
Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign. - Ishita Dasgupta, Demi Guo, Andreas Stuhlmüller, Samuel J. Gershman, Noah D. Goodman:
Evaluating Compositionality in Sentence Embeddings. - Antti Tölli, Hadi G. Ghauch, Jarkko Kaleva, Petri Komulainen, Mats Bengtsson, Mikael Skoglund, Michael L. Honig, Eeva Lähetkangas, Esa Tiirola, Kari Pajukoski:
Distributed Coordinated Transmission with Forward-Backward Training for 5G Radio Access. - Ulrik Buchholtz, Floris van Doorn, Egbert Rijke:
Higher Groups in Homotopy Type Theory. - Dane S. Corneil, Wulfram Gerstner, Johanni Brea:
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation. - Cristina Cano, Gergely Neu:
Wireless Optimisation via Convex Bandits: Unlicensed LTE/WiFi Coexistence. - Belal Amro:
Personal Mobile Malware Guard PMMG: a mobile malware detection technique based on user's preferences. - Illia Polosukhin, Alexander Skidanov:
Neural Program Search: Solving Programming Tasks from Description and Examples. - Sridhar Chimalakonda, Kesav V. Nori:
An Ontology Based Modeling Framework for Design of Educational Technologies. - Neyre Tekbiyik-Ersoy, Elif Tugce Ceran, Kemal Leblebicioglu, Tolga Girici, Elif Uysal-Biyikoglu:
Kalman Prediction Based Proportional Fair Resource Allocation for a Solar Powered Wireless Downlink. - Xiao Xu, Sattar Vakili, Qing Zhao, Ananthram Swami:
Multi-Armed Bandits on Unit Interval Graphs. - Sam Safavi, Usman A. Khan, Soummya Kar, José M. F. Moura:
Localization in internets of mobile agents: A linear approach. - Tong Wang:
Hybrid Decision Making: When Interpretable Models Collaborate With Black-Box Models. - Cassie Meeker, Thomas Rasmussen, Matei T. Ciocarlie:
Intuitive Hand Teleoperation by Novice Operators Using a Continuous Teleoperation Subspace. - Longyun Guo, Jean Honorio, John Morgan:
On the Sample Complexity of Learning from a Sequence of Experiments. - Shayan Eskandari, Jeremy Clark, David Barrera, Elizabeth Stobert:
A first look at the usability of bitcoin key management. - Yu Jin, Joseph F. JáJá, Rong Chen, Edward H. Herskovits:
A Data-Driven Approach to Extract Connectivity Structures from Diffusion Tensor Imaging Data. - Horacio Silva-Saravia, Héctor Pulgar-Painemal, Russell Zaretzki:
Chance-constrained optimal location of damping control actuators under wind power variability. - Song Feng, R. Chulaka Gunasekara, Sunil Shashidhara, Kshitij P. Fadnis, Lazaros C. Polymenakos:
A Unified Implicit Dialog Framework for Conversational Search. - Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Junction Tree Variational Autoencoder for Molecular Graph Generation. - Mehadi Hassen, Philip K. Chan:
Learning a Neural-network-based Representation for Open Set Recognition. - Pavel E. Dvurechensky, Alexander V. Gasnikov, Alexey Kroshnin:
Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn's Algorithm. - Nathan Hilliard, Lawrence Phillips, Scott Howland, Artëm Yankov, Courtney D. Corley, Nathan O. Hodas:
Few-Shot Learning with Metric-Agnostic Conditional Embeddings. - Han Bao, Gang Niu, Masashi Sugiyama:
Classification from Pairwise Similarity and Unlabeled Data. - Victor Magron, Alexandre Rocca, Thao Dang:
Certified Roundoff Error Bounds using Bernstein Expansions and Sparse Krivine-Stengle Representations. - Fan Tang, Weiming Dong, Yiping Meng, Chongyang Ma, Fuzhang Wu, Xinrui Li, Tong-Yee Lee:
Image Retargetability. - Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao:
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. - Qiangui Huang, Weiyue Wang, Ulrich Neumann:
Recurrent Slice Networks for 3D Segmentation on Point Clouds. - Robert J. Colvin, Graeme Smith:
A wide-spectrum language for verification of programs on weak memory models. - Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Adversarially Regularized Graph Autoencoder. - Jeevana Priya Inala, Sicun Gao, Soonho Kong, Armando Solar-Lezama:
REAS: Combining Numerical Optimization with SAT Solving. - Yuanyu Zhang, Shoji Kasahara, Yulong Shen, Xiaohong Jiang, Jianxiong Wan:
Smart Contract-Based Access Control for the Internet of Things. - Kamyar Azizzadenesheli, Emma Brunskill, Animashree Anandkumar:
Efficient Exploration through Bayesian Deep Q-Networks. - Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla:
Neural Tensor Factorization. - Yifan Wu, Barnabás Póczos, Aarti Singh:
Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent. - Hannah Morrison, Chris Martens:
"How Was Your Weekend?" A Generative Model of Phatic Conversation. - Mina Khoshdeli, Bahram Parvin:
Deep Learning Models Delineates Multiple Nuclear Phenotypes in H&E Stained Histology Sections. - Kangjing Huang, Xiaokang Qiu, Qi Tian, Yanjun Wang:
Reconciling Enumerative and Symbolic Search in Syntax-Guided Synthesis. - Kyle Hundman, Valentino Constantinou, Christopher Laporte, Ian Colwell, Tom Söderström:
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding. - Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli, Anima Anandkumar:
signSGD: compressed optimisation for non-convex problems. - Li Liu, Jie Chen, Guoying Zhao, Paul W. Fieguth, Xilin Chen, Matti Pietikäinen:
Texture Classification in Extreme Scale Variations using GANet. - William H. Guss, Ruslan Salakhutdinov:
On Characterizing the Capacity of Neural Networks using Algebraic Topology. - Yu Jin, Joseph F. JáJá:
Network Summarization with Preserved Spectral Properties. - Yu Jin, Joseph F. JáJá:
A High Performance Implementation of Spectral Clustering on CPU-GPU Platforms. - Tshilidzi Marwala, Bo Xing:
Blockchain and Artificial Intelligence. - Ye Shi, Hoang Duong Tuan, Pierre Apkarian, Andrey V. Savkin:
Global Optimal Power Flow over Large-Scale Power Transmission Network. - Angus Galloway, Graham W. Taylor, Medhat Moussa:
Predicting Adversarial Examples with High Confidence. - Ye Shi, Hoang Duong Tuan, Trung Quang Duong, H. Vincent Poor, Andrey V. Savkin:
Bang-Bang Charging of Electrical Vehicles by Smart Grid Technology. - Ye Shi, Hoang Duong Tuan:
Parameterized Bilinear Matrix Inequality Techniques in H∞ Fuzzy PID Control Design. - Vadim Kotov, Michael Wojnowicz:
Towards Generic Deobfuscation of Windows API Calls. - Mohan Nikam:
An Optimized Architecture for Unpaired Image-to-Image Translation. - Liudmila Ostroumova Prokhorenkova, Alexey Tikhonov:
Community detection through likelihood optimization: in search of a sound model. - Xiao-Yang Liu:
Information Scaling Law of Deep Neural Networks. - Muni Sreenivas Pydi, Varun S. Jog, Po-Ling Loh:
Graph-Based Ascent Algorithms for Function Maximization. - Eduardo Castelló Ferrer, Ognjen Rudovic, Thomas Hardjono, Alex Pentland:
RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction. - Bin Han, Lianghai Ji, Hans D. Schotten:
Slice as an Evolutionary Service: Genetic Optimization for Inter-Slice Resource Management in 5G Networks. - Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III:
A Dimension-Independent discriminant between distributions. - Gilad Kutiel:
Hardness Results and Approximation Algorithms for the Minimum Dominating Tree Problem. - (Withdrawn) A Novel Scheme to Improve Lossless Image Coders by Explicit Description of Generative Model Classes.
- Chun-Ming Lai, Xiaoyun Wang, Yunfeng Hong, Yu-Cheng Lin, Shyhtsun Felix Wu, Patrick D. McDaniel, Hasan Cam:
Attacking Strategies and Temporal Analysis Involving Facebook Discussion Groups. - Belal Amro:
Phishing Techniques in Mobile Devices. - Jiyi Zhang, Hung Dang, Hwee Kuan Lee, Ee-Chien Chang:
Learning Inverse Mappings with Adversarial Criterion. - Musa Furkan Keskin, Ahmet Dundar Sezer, Sinan Gezici:
Optimal and Robust Power Allocation for Visible Light Positioning Systems under Illumination Constraints. - Tatsuji Kawai, Giovanni Sambin:
The principle of point-free continuity. - (Withdrawn) Learning Robust and Adaptive Real-World Continuous Control Using Simulation and Transfer Learning.
- Yentl Van Tendeloo, Hans Vangheluwe:
Extending the DEVS Formalism with Initialization Information. - Felix Kreuk, Assi Barak, Shir Aviv-Reuven, Moran Baruch, Benny Pinkas, Joseph Keshet:
Adversarial Examples on Discrete Sequences for Beating Whole-Binary Malware Detection. - Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Ranking State-of-the-art Papers via Incomplete Tournaments Induced by Citations from Performance Tables. - Beate Bollig, Matthias Buttkus:
On the Relative Succinctness of Sentential Decision Diagrams. - Markus Hofinger, Thomas Pock, Thomas Moosbrugger:
Robust Deformation Estimation in Wood-Composite Materials using Variational Optical Flow. - Ruihan Wu, Zheng Yu, Wei Chen:
Scalable Influence Maximization with General Marketing Strategies. - Benjamin Wild, Leon Sixt, Tim Landgraf:
Automatic localization and decoding of honeybee markers using deep convolutional neural networks. - Carlos-Emiliano González-Gallardo, Juan-Manuel Torres-Moreno:
Sentence Boundary Detection for French with Subword-Level Information Vectors and Convolutional Neural Networks. - Zhang-Wei Hong, Tzu-Yun Shann, Shih-Yang Su, Yi-Hsiang Chang, Chun-Yi Lee:
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning. - Haochuan Song, Frankie Fu, Cloud Zeng, Jin Sha, Zaichen Zhang, Xiaohu You, Chuan Zhang:
Polar-Coded Forward Error Correction for MLC NAND Flash Memory Polar FEC for NAND Flash Memory. - Martin J. Shepperd:
Replication studies considered harmful. - Benjamin Baron, Prométhée Spathis, Marcelo Dias de Amorim, Yannis Viniotis, Mostafa H. Ammar:
Mobility as an Alternative Communication Channel: A Survey. - Calvin Seward, Thomas Unterthiner, Urs Bergmann, Nikolay Jetchev, Sepp Hochreiter:
First Order Generative Adversarial Networks. - Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang:
Rebalancing Dockless Bike Sharing Systems. - Prerna Agarwal, Richa Verma, Ayush Agarwal, Tanmoy Chakraborty:
DyPerm: Maximizing Permanence for Dynamic Community Detection. - Shuai Zhang, Lina Yao, Chaoran Huang, Xiwei Xu, Liming Zhu:
Position and Distance: Recommendation beyond Matrix Factorization. - Abhik Jana, Pawan Goyal:
Network Features Based Co-hyponymy Detection. - Wojciech Kazana, Luc Segoufin:
First-order queries on classes of structures with bounded expansion. - Dan Garber:
Fast Rates for Online Gradient Descent Without Strong Convexity via Hoffman's Bound. - Santanu Bhattacharya, Sai Sri Sathya, Kabir Rustogi, Ramesh Raskar:
Economic Impact of Discoverability of Localities and Addresses in India. - Sören Klemm, Aaron Scherzinger, Dominik Drees, Xiaoyi Jiang:
Barista - a Graphical Tool for Designing and Training Deep Neural Networks. - Neri Merhav:
Trade-offs Between Weak-Noise Estimation Performance and Outage Exponents in Nonlinear Modulation. - Bastien Cazaux, Eric Rivals:
Hierarchical Overlap Graph. - Yossi Adi, Carsten Baum, Moustapha Cissé, Benny Pinkas, Joseph Keshet:
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring. - Markos Georgopoulos, Yannis Panagakis, Maja Pantic:
Modelling of Facial Aging and Kinship: A Survey. - Sergio Caccamo, Yasemin Bekiroglu, Carl Henrik Ek, Danica Kragic:
Active Exploration Using Gaussian Random Fields and Gaussian Process Implicit Surfaces. - Nan Li, Tianli Liao:
Single-Perspective Warps in Natural Image Stitching. - Niketan Pansare, Michael Dusenberry, Nakul Jindal, Matthias Boehm, Berthold Reinwald, Prithviraj Sen:
Deep Learning with Apache SystemML. - Danish Sattar, Ashraf Matrawy:
Optimal Slice Allocation in 5G Core Networks. - Jeff Zhang, Tianyu Gu, Kanad Basu, Siddharth Garg:
Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator. - Martin Grohe, Daniel Neuen, Pascal Schweitzer:
Towards faster isomorphism tests for bounded-degree graphs. - Sheng Zhang, Fei Liao, Kai-Feng He:
The Third Evolution Equation for Optimal Control Computation. - Lovedeep Gondara, Ke Wang:
Recovering Loss to Followup Information Using Denoising Autoencoders. - Yusuke Mukuta, Akisato Kimura, David B. Adrian, Zoubin Ghahramani:
Weakly supervised collective feature learning from curated media. - Toomas Hinnosaar:
Optimal sequential contests. - Chetan Mishra, James S. Thorp, Anamitra Pal, Virgilio A. Centeno:
Transient Stability Assessment of Cascade Tripping of Renewable Sources Using SOS. - Parth Mehta, Gaurav Arora, Prasenjit Majumder:
Attention based Sentence Extraction from Scientific Articles using Pseudo-Labeled data. - Shuang Wu, Guoqi Li, Feng Chen, Luping Shi:
Training and Inference with Integers in Deep Neural Networks. - Marzieh Fadaee, Arianna Bisazza, Christof Monz:
Examining the Tip of the Iceberg: A Data Set for Idiom Translation. - Sergio Caccamo, Püren Güler, Hedvig Kjellström, Danica Kragic:
Active Perception and Modeling of Deformable Surfaces using Gaussian Processes and Position-based Dynamics. - Jingfan Fan, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen:
BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networks. - Carlos Olarte, Elaine Pimentel, Camilo Rueda:
A Concurrent Constraint Programming Interpretation of Access Permissions. - Damiano Carra, Giovanni Neglia, Pietro Michiardi:
Elastic Provisioning of Cloud Caches: a Cost-aware TTL Approach. - Arthur Guez, Théophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver:
Learning to Search with MCTSnets. - Julia Padberg:
Subtyping for Hierarchical, Reconfigurable Petri Nets. - Elaine Pimentel:
Proof systems: from nestings to sequents and back. - Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Communication Efficient, Sample Optimal, Linear Time Locally Private Discrete Distribution Estimation. - Xiao-Nan Fang, Bin Liu, Ariel Shamir:
Automatic thread painting generation. - Aaron Potechin, Jeffrey O. Shallit:
Lengths of Words Accepted by Nondeterministic Finite Automata. - Maximilian Ilse, Jakub M. Tomczak, Max Welling:
Attention-based Deep Multiple Instance Learning. - Parham Noorzad, Michelle Effros, Michael Langberg, Victoria Kostina:
The Birthday Problem and Zero-Error List Codes. - Nataly Brukhim, Amir Globerson:
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction. - Weisheng Dong, Ming Yuan, Xin Li, Guangming Shi:
Joint Demosaicing and Denoising with Perceptual Optimization on a Generative Adversarial Network. - Baran Tan Bacinoglu, Yin Sun, Elif Uysal-Biyikoglu, Volkan Mutlu:
Achieving the Age-Energy Tradeoff with a Finite-Battery Energy Harvesting Source. - Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen:
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions. - Kevin Moran, Boyang Li, Carlos Bernal-Cárdenas, Dan Jelf, Denys Poshyvanyk:
Automated Reporting of GUI Design Violations for Mobile Apps. - Andre Bernardes Soares Guedes, Teófilo Emídio de Campos, Adrian Hilton:
Semantic Scene Completion Combining Colour and Depth: preliminary experiments. - Sergio Caccamo, Esra Ataer Cansizoglu, Yuichi Taguchi:
Joint 3D Reconstruction of a Static Scene and Moving Objects. - Dana Angluin, Timos Antonopoulos, Dana Fisman:
Query learning of derived ω-tree languages in polynomial time. - Amir Bennatan, Yoni Choukroun, Pavel Kisilev:
Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach. - Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly:
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. - Tommaso Pasini, José Camacho-Collados:
A Short Survey on Sense-Annotated Corpora for Diverse Languages and Resources. - Kevin Moran, Michele Tufano, Carlos Bernal-Cárdenas, Mario Linares Vásquez, Gabriele Bavota, Christopher Vendome, Massimiliano Di Penta, Denys Poshyvanyk:
MDroid+: A Mutation Testing Framework for Android. - Haiguang Wen, Kuan Han, Junxing Shi, Yizhen Zhang, Eugenio Culurciello, Zhongming Liu:
Deep Predictive Coding Network for Object Recognition. - Glen Berseth, Cheng Xie, Paul Cernek, Michiel van de Panne:
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control. - Peng Zhang, Yueming Liu, Meikang Qiu:
SNC: A Cloud Service Platform for Symbolic-Numeric Computation using Just-In-Time Compilation. - Tachporn Sanguanpuak, Sudarshan Guruacharya, Ekram Hossain, Dusit Niyato, Nandana Rajatheva, Matti Latva-aho:
Edge Caching in Delay-Constrained Virtualized Cellular Networks: Analysis and Market. - Yanxiang Jiang, Hui Ge, Mehdi Bennis, Fu-Chun Zheng, Xiaohu You:
Power Control via Stackelberg Game for Small-Cell Networks. - David Dao, Dan Alistarh, Claudiu Musat, Ce Zhang:
DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation. - Henry Chai, Roman Garnett:
An Improved Bayesian Framework for Quadrature of Constrained Integrands. - Keren Censor-Hillel, Dean Leitersdorf, Elia Turner:
Sparse Matrix Multiplication with Bandwidth Restricted All-to-All Communication. - Dongruo Zhou, Pan Xu, Quanquan Gu:
Stochastic Variance-Reduced Cubic Regularized Newton Method. - Tianqi Chen, Thierry Moreau, Ziheng Jiang, Haichen Shen, Eddie Q. Yan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy:
TVM: End-to-End Optimization Stack for Deep Learning. - Rajorshee Raha:
Adaptive Regulation of Sampling Rates for Power Efficient Embedded Control system Design. - Peter Clark:
Story Generation and Aviation Incident Representation. - Haoyu Zhang, Logan Stafman, Andrew Or, Michael J. Freedman:
SLAQ: Quality-Driven Scheduling for Distributed Machine Learning. - Rein Houthooft, Richard Y. Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel:
Evolved Policy Gradients. - Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou:
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models. - Amir Rosenfeld, John K. Tsotsos:
Challenging Images For Minds and Machines. - Bo Wu, Zhiyu Liu, Hai Lin:
Parameter and Insertion Function Co-synthesis for Opacity Enhancement in Parametric Stochastic Discrete Event Systems. - Fahad Razaque, Nareena Soomro, Shoaib Ahmed Shaikh, Safeeullah Soomro, Javed Ahmed Samo, Natesh Kumar, Huma Dharejo:
Using Naive Bayes Algorithm to Students' bachelor Academic Performances Analysis. - Drahomira Herrmannova, Robert M. Patton, Petr Knoth, Christopher G. Stahl:
Do Citations and Readership Identify Seminal Publications? - Mohammad Reza Bonyadi:
A theoretical guideline for designing an effective adaptive particle swarm. - Xi Chen, Zhengyang Liu, Rocco A. Servedio, Ying Sheng, Jinyu Xie:
Distribution-free Junta Testing. - Shakiba Yaghoubi, Georgios Fainekos:
Local Descent For Temporal Logic Falsification of Cyber-Physical Systems (Extended Technical Report). - Dejan Vukobratovic, Andrea Tassi, Savo Delic, Chadi Khirallah:
Random Linear Network Coding for 5G Mobile Video Delivery. - Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck:
Learning via social awareness: improving sketch representations with facial feedback. - Sri Kalyan Yarlagadda, David Güera, Paolo Bestagini, Fengqing Maggie Zhu, Stefano Tubaro, Edward J. Delp:
Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier. - Yifeng Gao, Jessica Lin:
Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series. - David M. Blum, Marie-Elisabeth Paté-Cornell:
Probabilistic Warnings in National Security Crises: Pearl Harbor Revisited. - Yunhui Long, Vincent Bindschaedler, Lei Wang, Diyue Bu, Xiaofeng Wang, Haixu Tang, Carl A. Gunter, Kai Chen:
Understanding Membership Inferences on Well-Generalized Learning Models. - Boyu Zhang, Yingtao Zhang, Heng-Da Cheng, Min Xian, Shan Gai, Olivia Cheng, Kuan Huang:
Computer-Aided Knee Joint Magnetic Resonance Image Segmentation - A Survey. - Luiz M. Franca-Neto:
Field-Programmable Deep Neural Network (DNN) Learning and Inference accelerator: a concept. - Feng Hao, Roberto Metere, Siamak F. Shahandashti, Changyu Dong:
Analysing and Patching SPEKE in ISO/IEC. - Joshua Staker, Kyle Marshall, Robert Abel, Carolyn McQuaw:
Molecular Structure Extraction From Documents Using Deep Learning. - Houdong Hu, Yan Wang, Linjun Yang, Pavel Komlev, Li Huang, Xi Stephen Chen, Jiapei Huang, Ye Wu, Meenaz Merchant, Arun Sacheti:
Web-Scale Responsive Visual Search at Bing. - Shayan Eskandari, Jeremy Clark, Vignesh Sundaresan, Moe Adham:
On the Feasibility of Decentralized Derivatives Markets. - Michael T. Lash, Qihang Lin, W. Nick Street:
Prophit: Causal inverse classification for multiple continuously valued treatment policies. - Arash Vahdat, William G. Macready, Zhengbing Bian, Amir Khoshaman:
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations. - Kang Gao, J. Nicholas Laneman, Bertrand M. Hochwald:
Beamforming with Multiple One-Bit Wireless Transceivers. - Zhihao Jia, Sina Lin, Charles R. Qi, Alex Aiken:
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks. - Ofir Lindenbaum, Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy:
Geometry-Based Data Generation. - Somil Bansal, Shromona Ghosh, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Claire J. Tomlin:
Context-Specific Validation of Data-Driven Models. - Qinglong Wang:
Energy Spatio-Temporal Pattern Prediction for Electric Vehicle Networks. - Abhimanyu Dubey, Esteban Moro, Manuel Cebrián, Iyad Rahwan:
MemeSequencer: Sparse Matching for Embedding Image Macros. - Tian Qi Chen, Xuechen Li, Roger B. Grosse, David Duvenaud:
Isolating Sources of Disentanglement in Variational Autoencoders. - Cong Xie:
Attack RMSE Leaderboard: An Introduction and Case Study. - Shaileshh Bojja Venkatakrishnan, Mohammad Alizadeh, Pramod Viswanath:
Graph2Seq: Scalable Learning Dynamics for Graphs. - Sheng Wang, Tien Tuan Anh Dinh, Qian Lin, Zhongle Xie, Meihui Zhang, Qingchao Cai, Gang Chen, Wanzeng Fu, Beng Chin Ooi, Pingcheng Ruan:
ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications. - Zhaohui Yang, Wei Xu, Yi-Jin Pan, Cunhua Pan, Ming Chen:
Optimal Fairness-Aware Time and Power Allocation in Wireless Powered Communication Networks. - Graeme Smith, Kirsten Winter, Robert J. Colvin:
A sound and complete definition of linearizability on weak memory models. - Chung Chan, Manuj Mukherjee, Navin Kashyap, Qiaoqiao Zhou:
Multiterminal Secret Key Agreement at Asymptotically Zero Discussion Rate. - Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, Youngjin Yoon, In So Kweon:
Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks. - Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin, George D. C. Cavalcanti:
DESlib: A Dynamic ensemble selection library in Python. - Aleksandar S. Dimovski:
Abstract Family-based Model Checking using Modal Featured Transition Systems: Preservation of CTL* (Extended Version). - Jangho Kim, Seonguk Park, Nojun Kwak:
Paraphrasing Complex Network: Network Compression via Factor Transfer. - Kunfeng Wang, Chao Gou, Fei-Yue Wang:
M4CD: A Robust Change Detection Method for Intelligent Visual Surveillance. - Christoph Wernhard:
Craig Interpolation and Access Interpolation with Clausal First-Order Tableaux. - Anh Viet Phan, Minh Le Nguyen, Lam Thu Bui:
Convolutional Neural Networks over Control Flow Graphs for Software Defect Prediction. - Jérémy Frey, May Grabli, Ronit Slyper, Jessica R. Cauchard:
Breeze: Sharing Biofeedback Through Wearable Technologies. - Khoa Nguyen, Benjamin Hong Meng Tan, Huaxiong Wang:
Zero-Knowledge Password Policy Check from Lattices. - Joaquín M. Azagra-Caro, Anabel Fernández-Mesa, Nicolás Robinson-García:
'Getting out of the closet': Scientific authorship of literary fiction and knowledge transfer. - Amaru Cuba Gyllensten, Magnus Sahlgren:
Distributional Term Set Expansion. - A. F. Al-Azzawi:
PyFml - a Textual Language For Feature Modeling. - Ari Heljakka, Arno Solin, Juho Kannala:
Recursive Chaining of Reversible Image-to-image Translators For Face Aging. - Patrick Schwab, Emanuela Keller, Carl Muroi, David J. Mack, Christian Strässle, Walter Karlen:
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care. - Gabriele Pozzetti, Xavier Besseron, Alban Rousset, Bernhard Peters:
A co-located partitions strategy for parallel CFD-DEM couplings. - José González Cabañas, Ángel Cuevas, Rubén Cuevas:
Facebook Use of Sensitive Data for Advertising in Europe. - Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization. - Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets. - Xiao He, Luís Moreira-Matias:
Robust Continuous Co-Clustering. - Caitlin Gray, Lewis Mitchell, Matthew Roughan:
Network structure inhibits information cascades in heavy-tailed social networks. - Chuka Oham, Salil S. Kanhere, Raja Jurdak, Sanjay K. Jha:
A Blockchain Based Liability Attribution Framework for Autonomous Vehicles. - Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer:
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. - Selen Gurbuz, Galip Aydin:
Classification of Scientific Papers With Big Data Technologies. - Suman Kalyan Maity, Ayush Kumar, Ankan Mullick, Vishnu Choudhary, Animesh Mukherjee:
Understanding Book Popularity on Goodreads. - Mercedes Echeverria, David Stuart, José Antonio Cordón García:
The influence of online posting dates on the bibliometric indicators of scientific articles. - Michal Rolínek, Georg Martius:
L4: Practical loss-based stepsize adaptation for deep learning. - Jan Dvorák, Zdenek Hanzálek:
Using Two Independent Channels with Gateway for FlexRay Static Segment Scheduling. - Maëlick Claes, Mika Mäntylä, Miikka Kuutila, Bram Adams:
Do Programmers Work at Night or During the Weekend? - Suman Kalyan Maity, Ramanth Gajula, Animesh Mukherjee:
Why Did They #Unfollow Me? Early Detection of Follower Loss on Twitter. - Odette Scharenborg, Laurent Besacier, Alan W. Black, Mark Hasegawa-Johnson, Florian Metze, Graham Neubig, Sebastian Stüker, Pierre Godard, Markus Müller, Lucas Ondel, Shruti Palaskar, Philip Arthur, Francesco Ciannella, Mingxing Du, Elin Larsen, Danny Merkx, Rachid Riad, Liming Wang, Emmanuel Dupoux:
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop. - Cigdem Sazak, Carl J. Nelson, Boguslaw Obara:
The Multiscale Bowler-Hat Transform for Vessel Enhancement in 3D Biomedical Images. - Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson:
DiCE: The Infinitely Differentiable Monte-Carlo Estimator. - Michel A. Kinsy, Mihailo Isakov, Alan Ehret, Donato Kava:
SAPA: Self-Aware Polymorphic Architecture. - James P. Bagrow:
Crowd ideation of supervised learning problems. - Wissal Attaoui, Essaid Sabir:
Multi-Criteria Virtual Machine Placement in Cloud Computing Environments: A literature Review. - Torgeir Dingsøyr, Tore Dybå, Mette Gjertsen, Anette Odgaard Jacobsen, Tor-Erik Mathisen, Jan Ole Nordfjord, Kjetil Røe, Kjetil Strand:
Key Lessons from Tailoring Agile Methods for Large-Scale Software Development. - Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish K. Palshikar:
Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. - Lenar Iskhakov, Bogumil Kaminski, Maksim Mironov, Liudmila Ostroumova Prokhorenkova, Pawel Pralat:
Clustering Properties of Spatial Preferential Attachment Model. - Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish K. Palshikar:
Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. - Ross Warkentin, William Savoie, Daniel I. Goldman:
Locomoting robots composed of immobile robots. - Kamil Khadiev, Mansur Ziatdinov, Ilnaz Mannapov, Aliya Khadieva, Ramis Yamilov:
Quantum Online Streaming Algorithms with Constant Number of Advice Bits. - Kelvin Loh, Pejman Shoeibi Omrani, Ruud van der Linden:
Deep Learning and Data Assimilation for Real-Time Production Prediction in Natural Gas Wells. - Isabelle Bloch, Jérôme Lang, Ramón Pino Pérez, Carlos Uzcátegui:
Morphologic for knowledge dynamics: revision, fusion, abduction. - Paolo Pistone:
On completeness and parametricity in the realizability semantics of System F. - Yicong He, Fei Wang, Shiyuan Wang, Pengju Ren, Badong Chen:
Maximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links. - Eyal Kushilevitz, Tamer Mour:
Sub-logarithmic Distributed Oblivious RAM with Small Block Size. - Miguel R. Castellanos, Vasanthan Raghavan, Jung H. Ryu, Ozge H. Koymen, Junyi Li, David J. Love, Borja Peleato:
Channel Reconstruction-Based Hybrid Precoding for Millimeter Wave Multi-User MIMO Systems. - Ali Bereyhi, Saba Asaad, Ralf R. Müller:
Stepwise Transmit Antenna Selection in Downlink Massive Multiuser MIMO. - Tianyi Liu, Zhehui Chen, Enlu Zhou, Tuo Zhao:
Toward Deeper Understanding of Nonconvex Stochastic Optimization with Momentum using Diffusion Approximations. - Louis Abraham:
SAT solving techniques: a bibliography. - Xiaolin Wu, Xi Zhang, Jun Du:
Two Is Harder To Recognize Than Tom: the Challenge of Visual Numerosity for Deep Learning. - Florian Colombo, Wulfram Gerstner:
BachProp: Learning to Compose Music in Multiple Styles. - AbdelRahman Abdou:
Internet Location Verification: Challenges and Solutions. - Sridhar Chimalakonda, Kesav V. Nori:
A Family of Software Product Lines in Educational Technologies. - Paulo Ferreira:
Sampling Superquadric Point Clouds with Normals. - Adib Mehrabi, Keunwoo Choi, Simon Dixon, Mark B. Sandler:
Similarity measures for vocal-based drum sample retrieval using deep convolutional auto-encoders. - Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue:
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. - Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen:
Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks. - John Seymour, Philip Tully:
Generative Models for Spear Phishing Posts on Social Media. - Nikos Fotiou, George Xylomenos, George C. Polyzos, Hasan M. A. Islam, Dmitrij Lagutin, Teemu Hakala, Eero Hakala:
ICN enabling CoAP Extensions for IP based IoT devices. - Hongwei Li, Gongfa Jiang, Ruixuan Wang, Jianguo Zhang, Zhaolei Wang, Wei-Shi Zheng, Bjoern H. Menze:
Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images. - Christoph Dibak, Bernard Haasdonk, Andreas Schmidt, Frank Dürr, Kurt Rothermel:
Enabling Interactive Mobile Simulations Through Distributed Reduced Models. - Tianyu Yang, Omid Taghizadeh, Rudolf Mathar:
Sum Secrecy Rate Maximization in a Multi-Carrier MIMO Wiretap Channel with Full-Duplex Jamming. - Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti:
Learning Privacy Preserving Encodings through Adversarial Training. - Gabriella A. B. Barros, Michael Cerny Green, Antonios Liapis, Julian Togelius:
Who Killed Albert Einstein? From Open Data to Murder Mystery Games. - Walid Gomaa:
Cyber Physical Systems: Prospects and Challenges. - Phillip G. Bradford:
Efficient Exact Paths For Dyck and semi-Dyck Labeled Path Reachability. - Patchava Raviteja, Khoa Tran Phan, Yi Hong, Emanuele Viterbo:
Interference Cancellation and Iterative Detection for Orthogonal Time Frequency Space Modulation. - Matthew Staib, Bryan Wilder, Stefanie Jegelka:
Distributionally Robust Submodular Maximization. - Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, S. Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan:
Generating Plans that Predict Themselves. - Di Wang, Minwei Ye, Jinhui Xu:
Differentially Private Empirical Risk Minimization Revisited: Faster and More General. - Albert Atserias, Massimo Lauria:
Circular (Yet Sound) Proofs. - Bidisha Samanta, Abir De, Niloy Ganguly, Manuel Gomez-Rodriguez:
Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design. - Savvas Zannettou, Barry Bradlyn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, Haewoon Kwak, Jeremy Blackburn:
What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber? - Bo Li, Yingkai Li:
Dynamic Fair Division Problem with General Valuations. - Sanjeev Arora, Rong Ge, Behnam Neyshabur, Yi Zhang:
Stronger generalization bounds for deep nets via a compression approach. - Dan Hendrycks, Mantas Mazeika, Duncan Wilson, Kevin Gimpel:
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise. - Xin Yang, Ju Fan:
Influential User Subscription on Time-Decaying Social Streams. - Karl Ridgeway, Michael C. Mozer:
Learning Deep Disentangled Embeddings with the F-Statistic Loss. - Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell:
Reinforcement Learning from Imperfect Demonstrations. - Andrés Muñoz Medina, Sergei Vassilvitskii, Dong Yin:
Online Learning for Non-Stationary A/B Tests. - Meg Pirrung, Nathan Hilliard, Artëm Yankov, Nancy O'Brien, Paul Weidert, Courtney D. Corley, Nathan O. Hodas:
Sharkzor: Interactive Deep Learning for Image Triage, Sort and Summary. - Suvodeep Majumder, Nikhila Balaji, Katie Brey, Wei Fu, Tim Menzies:
500+ Times Faster Than Deep Learning (A Case Study Exploring Faster Methods for Text Mining StackOverflow). - Adam Nyberg:
Classifying movie genres by analyzing text reviews. - Benedikt Brecht, Dean Therriault, André Weimerskirch, William Whyte, Virendra Kumar, Thorsten Hehn, Roy Goudy:
A Security Credential Management System for V2X Communications. - Anh Tuan Nguyen, Jian Xu, Diu Khue Luu, Qi Zhao, Zhi Yang:
Advancing System Performance with Redundancy: From Biological to Artificial Designs. - Nitin J. Sanket, Chahat Deep Singh, Kanishka Ganguly, Cornelia Fermüller, Yiannis Aloimonos:
GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight. - Mike Wu, Noah D. Goodman:
Multimodal Generative Models for Scalable Weakly-Supervised Learning. - Qian Zhang, Márton Karsai, Alessandro Vespignani:
Link transmission centrality in large-scale social networks. - Fei Wang, Tiark Rompf:
From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) Zero. - Chuang Ye, Mustafa Cenk Gursoy, Senem Velipasalar:
Power Control and Mode Selection for VBR Video Streaming in D2D Networks. - Binghui Wang, Neil Zhenqiang Gong:
Stealing Hyperparameters in Machine Learning. - Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer:
Deep contextualized word representations. - Jiatao Gu, Hany Hassan, Jacob Devlin, Victor O. K. Li:
Universal Neural Machine Translation for Extremely Low Resource Languages. - Philippe Tillet, David D. Cox:
Input-Aware Auto-Tuning of Compute-Bound HPC Kernels. - Guozhen An, Mehrnoosh Shafiee, Davood Shamsi:
Improving Retrieval Modeling Using Cross Convolution Networks And Multi Frequency Word Embedding. - Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen:
Active Feature Acquisition with Supervised Matrix Completion. - Himan Abdollahpouri, Robin Burke, Bamshad Mobasher:
Value-Aware Item Weighting for Long-Tail Recommendation. - Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Dinei A. F. Florêncio, Mark Hasegawa-Johnson:
Deep Learning Based Speech Beamforming. - Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation. - Congzheng Song, Vitaly Shmatikov:
Fooling OCR Systems with Adversarial Text Images. - Fenglei Fan, Hongming Shan, Ge Wang:
Shamap: Shape-based Manifold Learning. - Vlad-Andrei Munteanu:
Strongly connected components-Algorithm for finding the strongly connected components of a graph. - Jun Lu, Meng Li, David B. Dunson:
Reducing over-clustering via the powered Chinese restaurant process. - Sheng-Jun Huang, Jia-Wei Zhao, Zhao-Yang Liu:
Cost-Effective Training of Deep CNNs with Active Model Adaptation. - Thodoris Lykouris, Sergei Vassilvitskii:
Competitive caching with machine learned advice. - Charles B. Delahunt, J. Nathan Kutz:
Putting a bug in ML: The moth olfactory network learns to read MNIST. - Denny Wu, Yixiu Zhao, Yao-Hung Hubert Tsai, Makoto Yamada, Ruslan Salakhutdinov:
"Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study. - Tao Wang:
Optimizing Precision for Open-World Website Fingerprinting. - Yao-Hung Hubert Tsai, Makoto Yamada, Denny Wu, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu:
Selecting the Best in GANs Family: a Post Selection Inference Framework. - Chan Woo Kim:
NtMalDetect: A Machine Learning Approach to Malware Detection Using Native API System Calls. - Sumeet S. Singh:
Teaching Machines to Code: Neural Markup Generation with Visual Attention. - Tim Hellemans, Benny Van Houdt:
On the Power-of-d-choices with Least Loaded Server Selection. - Aniruddha Basak, Kamalika Das, Ole J. Mengshoel:
CADDeLaG: Framework for distributed anomaly detection in large dense graph sequences. - Antoine Rolet, Vivien Seguy, Mathieu Blondel, Hiroshi Sawada:
Blind Source Separation with Optimal Transport Non-negative Matrix Factorization. - Agostino Funel:
Analysis of the Web Graph Aggregated by Host and Pay-Level Domain. - Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang:
Mean Field Multi-Agent Reinforcement Learning. - Thomas Jerkovits, Gianluigi Liva, Alexandre Graell i Amat:
Improving the Decoding Threshold of Tailbiting Spatially Coupled LDPC Codes by Energy Shaping. - Gianluca Reali, Mauro Femminella, Emilia Nunzi, Dario Valocchi:
Genomics as a Service: a Joint Computing and Networking Perspective. - Aneta Neumann, Wanru Gao, Carola Doerr, Frank Neumann, Markus Wagner:
Discrepancy-based Evolutionary Diversity Optimization. - Marco Buzzanca, Vincenza Carchiolo, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni:
Black Hole Metric: Overcoming the PageRank Normalization Problem. - Peter Kokol:
Point systems in Games for Health: A bibliometric scoping study. - Alexandru Iosup, Alexandru Uta, Laurens Versluis, Georgios Andreadis, Erwin Van Eyk, Tim Hegeman, Sacheendra Talluri, Vincent van Beek, Lucian Toader:
Massivizing Computer Systems: a Vision to Understand, Design, and Engineer Computer Ecosystems through and beyond Modern Distributed Systems. - László Kozma, Thatchaphol Saranurak:
Smooth heaps and a dual view of self-adjusting data structures. - Yan Zhu, Abdullah Mueen, Eamonn J. Keogh:
Admissible Time Series Motif Discovery with Missing Data. - Aneta Neumann, Christo Pyromallis, Bradley Alexander:
Evolution of Images with Diversity and Constraints Using a Generator Network. - Angelo Raffaele Meo:
On the P vs NP question: a proof of inequality. - Adrià Gascón, Markus Lohrey, Sebastian Maneth, Carl Philipp Reh, Kurt Sieber:
Grammar-based Compression of Unranked Trees. - Delia Kesner, Pierre Vial:
Non-idempotent types for classical calculi in natural deduction style. - Dariusz Dereniowski, Dorota Osula, Pawel Rzazewski:
Finding small-width connected path decompositions in polynomial time. - Aline Sindel, Katharina Breininger, Johannes Käßer, Andreas Hess, Andreas K. Maier, Thomas Köhler:
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests. - Muhammad Faisal, Sanaullah Manzoor:
Deep Learning for Lip Reading using Audio-Visual Information for Urdu Language. - Reza Mahjourian, Martin Wicke, Anelia Angelova:
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints. - Giulia Prando, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso:
The role of noise modeling in the estimation of resting-state brain effective connectivity. - Lindah Kotut, Michael A. Horning, Steve Harrison, D. Scott McCrickard:
Opportunity in Conflict: Understanding Tension Among Key Groups on the Trail. - Tasos Bakogiannis, Ioannis Giannakopoulos, Dimitrios Tsoumakos, Nectarios Koziris:
A Similarity-based Approach to Modeling Graph Operators. - Md. Ishaquddin, S. Gopalakrishnan:
Novel weak form quadrature elements for non-classical higher order beam and plate theories. - Peter Chini, Roland Meyer, Prakash Saivasan:
Fine-Grained Complexity of Safety Verification. - Evgheniy Faerman, Felix Borutta, Julian Busch, Matthias Schubert:
Semi-Supervised Learning on Graphs Based on Local Label Distributions. - Yijie Mao, Bruno Clerckx, Victor O. K. Li:
Rate-Splitting for Multi-Antenna Non-Orthogonal Unicast and Multicast Transmission. - Yi Ouyang, Bin Guo, Xinjiang Lu, Qi Han, Tong Guo, Zhiwen Yu:
CompetitiveBike: Competitive Prediction of Bike-Sharing Apps Using Heterogeneous Crowdsourced Data. - Paul Groth, Michael Lauruhn, Antony Scerri, Ron Daniel Jr.:
Open Information Extraction on Scientific Text: An Evaluation. - Reza Ghaeini, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Kathy Lee, Ashequl Qadir, Yuan Ling, Aaditya Prakash, Xiaoli Z. Fern, Oladimeji Farri:
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference. - Dan Garber, Shoham Sabach, Atara Kaplan:
Fast Generalized Conditional Gradient Method with Applications to Matrix Recovery Problems. - Tiberiu Boros, Stefan Daniel Dumitrescu, Vasile Florian Pais:
Tools and resources for Romanian text-to-speech and speech-to-text applications. - Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Towards End-to-End Lane Detection: an Instance Segmentation Approach. - Pradip Sircar:
System Identification via Polynomial Transformation Method. - Lise Aubin, Mehdi Khamassi, Benoît Girard:
Prioritized Sweeping Neural DynaQ with Multiple Predecessors, and Hippocampal Replays. - Benjamin Farinier, Sébastien Bardin, Richard Bonichon, Marie-Laure Potet:
Model Generation for Quantified Formulas: A Taint-Based Approach. - Jérôme Hugues, Jean-Marie Gauthier, Raphaël Faudou:
Integrating AADL and FMI to Extend Virtual Integration Capability. - Hao-Ting Wei, Wing-Kai Hon, Paul Horn, Chung-Shou Liao, Kunihiko Sadakane:
An O(1)-Approximation Algorithm for Dynamic Weighted Vertex Cover with Soft Capacity. - Ian Orton, Andrew M. Pitts:
Models of Type Theory Based on Moore Paths. - Caroline Etienne, Guillaume Fidanza, Andrei Petrovskii, Laurence Devillers, Benoit Schmauch:
Speech Emotion Recognition with Data Augmentation and Layer-wise Learning Rate Adjustment. - Takeru Miyato, Masanori Koyama:
cGANs with Projection Discriminator. - Sabina Marchetti, Alessandro Antonucci:
Reliable Uncertain Evidence Modeling in Bayesian Networks by Credal Networks. - Yu Shi, Jian Li, Zhize Li:
Gradient Boosting With Piece-Wise Linear Regression Trees. - David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel:
The Mechanics of n-Player Differentiable Games. - Zelda Mariet, Mike Gartrell, Suvrit Sra:
Learning Determinantal Point Processes by Sampling Inferred Negatives. - Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Wenxiang Cong, Ge Wang:
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network. - Andrew Frohmader:
List Heaps. - Jonathan Uesato, Brendan O'Donoghue, Aäron van den Oord, Pushmeet Kohli:
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks. - Atish Pawar, Vijay Mago:
Calculating the similarity between words and sentences using a lexical database and corpus statistics. - Antonio Polino, Razvan Pascanu, Dan Alistarh:
Model compression via distillation and quantization. - Reza Ghaeini, Xiaoli Z. Fern, Liang Huang, Prasad Tadepalli:
Event Nugget Detection with Forward-Backward Recurrent Neural Networks. - Emilio Hugues-Salas, Foteini Ntavou, Yanni Ou, Jake E. Kennard, Catherine White, Dimitrios Gkounis, Konstantinos Nikolovgenis, George Kanellos, Christopher Erven, Andrew Lord, Reza Nejabati, Dimitra Simeonidou:
Experimental Demonstration of DDoS Mitigation over a Quantum Key Distribution (QKD) Network Using Software Defined Networking (SDN). - Anh Tuan Nguyen, Jian Xu, Zhi Yang:
A Bio-inspired Redundant Sensing Architecture. - Virag Shah, Jose H. Blanchet, Ramesh Johari:
Bandit Learning with Positive Externalities. - Xilun Chen, Claire Cardie:
Multinomial Adversarial Networks for Multi-Domain Text Classification. - James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein:
Explainable Prediction of Medical Codes from Clinical Text. - Nikolai Andrianov:
A Machine Learning Approach for Virtual Flow Metering and Forecasting. - Antonia Creswell, Anil A. Bharath:
Inverting The Generator Of A Generative Adversarial Network (II). - Bo Wu, Jin Dai, Hai Lin:
Synthesis of Insertion Functions to Enforce Decentralized and Joint Opacity Properties of Discrete-event Systems. - Zhuo Chen, Chao Jiang, Yi Guo:
Pedestrian-Robot Interaction Experiments in an Exit Corridor. - Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, Sergei Vassilvitskii:
Fair Clustering Through Fairlets. - Merlin Carl, Benjamin G. Rin, Philipp Schlicht:
Writability and reachability for alpha-tape infinite time Turing machines. - Seyed Ali Cheraghi, Vinod Namboodiri, Kaushik Sinha:
IBeaconMap: Automated Indoor Space Representation for Beacon-Based Wayfinding. - Kamal Sarkar:
JU_KS@SAIL_CodeMixed-2017: Sentiment Analysis for Indian Code Mixed Social Media Texts. - Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad:
Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. - Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku:
Image Transformer. - Cédric Bény:
Inferring relevant features: from QFT to PCA. - Sebastian Claici, Edward Chien, Justin Solomon:
Stochastic Wasserstein Barycenters. - Christian Stab, Tristan Miller, Iryna Gurevych:
Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks. - Karthik Sheshadri, Chung-Wei Hang, Munindar P. Singh:
Framing Matters: Predicting Framing Changes and Legislation from Topic News Patterns. - Fuxun Yu, Qide Dong, Xiang Chen:
ASP: A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction. - Yan Zhang, Jonathon S. Hare, Adam Prügel-Bennett:
Learning to Count Objects in Natural Images for Visual Question Answering. - Karthik Sheshadri, Chung-Wei Hang, Munindar P. Singh:
The Causal Link between News Framing and Legislation. - Ali Bereyhi, Ralf R. Müller:
Maximum-A-Posteriori Signal Recovery with Prior Information: Applications to Compressive Sensing. - Papis Wongchaisuwat, Diego Klabjan:
Truth Validation with Evidence. - Pawel Gawrychowski, Liran Markin, Oren Weimann:
A Faster FPTAS for #Knapsack. - Fady Medhat, David Chesmore, John Robinson:
Masked Conditional Neural Networks for Automatic Sound Events Recognition. - Jaybie A. de Guzman, Kanchana Thilakarathna, Aruna Seneviratne:
Security and Privacy Approaches in Mixed Reality: A Literature Survey. - Anand Bhattad, Jason Rock, David A. Forsyth:
Detecting Anomalous Faces with 'No Peeking' Autoencoders. - Alexander Sergeev, Mike Del Balso:
Horovod: fast and easy distributed deep learning in TensorFlow. - Deboleena Roy, Priyadarshini Panda, Kaushik Roy:
Tree-CNN: A Deep Convolutional Neural Network for Lifelong Learning. - Zhuoqun Cheng, Richard West, Craig Einstein:
End-to-end Analysis and Design of a Drone Flight Controller. - Marcus Pereira, David D. Fan, Gabriel Nakajima An, Evangelos A. Theodorou:
MPC-Inspired Neural Network Policies for Sequential Decision Making. - Marcelo M. Santos, Luciano Oliveira:
ISEC: Iterative over-Segmentation via Edge Clustering. - Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang:
Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning. - Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan:
Auto-Encoding Total Correlation Explanation. - Maria Yaneli Ameca-Alducin, Maryam Hasani-Shoreh, Wilson Blaikie, Frank Neumann, Efrén Mezura-Montes:
A Comparison of Constraint Handling Techniques for Dynamic Constrained Optimization Problems. - Rozhin Eskandarpour, Amin Khodaei, Ali Arab:
Improving Power Grid Resilience Through Predictive Outage Estimation. - Rozhin Eskandarpour, Amin Khodaei:
Component Outage Estimation based on Support Vector Machine. - Fatemeh Afghah, Alireza Shamsoshoara, Laurent Njilla, Charles A. Kamhoua:
A Reputation-based Stackelberg Game Model to Enhance Secrecy Rate in Spectrum Leasing to Selfish IoT Devices. - Rozhin Eskandarpour, Amin Khodaei, Ali Arab:
Load Curtailment Estimation in Response to Extreme Events. - Siddharth Srivastava, Nishant Desai, Richard G. Freedman, Shlomo Zilberstein:
An Anytime Algorithm for Task and Motion MDPs. - Michel Müller, Takayuki Aoki:
New High Performance GPGPU Code Transformation Framework Applied to Large Production Weather Prediction Code. - Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
Parameter-free Network Sparsification and Data Reduction by Minimal Algorithmic Information Loss. - Kui Yu, Lin Liu, Jiuyong Li:
A Unified View of Causal and Non-causal Feature Selection. - Vikramjit Mitra, Wen Wang, Chris Bartels, Horacio Franco, Dimitra Vergyri:
Articulatory information and Multiview Features for Large Vocabulary Continuous Speech Recognition. - Martin Koutecký, Asaf Levin, Shmuel Onn:
A Parameterized Strongly Polynomial Algorithm for Block Structured Integer Programs. - Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio P. Calmon:
Generalizing Bottleneck Problems. - Horatiu Cirstea, David Sabel:
Proceedings Fourth International Workshop on Rewriting Techniques for Program Transformations and Evaluation, WPTE@FSCD 2017, Oxford, UK, 8th September 2017. - Jovanka Pantovic, Ivan Prokic, Hugo Torres Vieira:
A Calculus for Modeling Floating Authorizations. - Karuna Prasad, M. G. Divya, N. Mangala:
Statistical Analysis of Metrics for Software Quality Improvement. - András A. Benczúr, Levente Kocsis, Róbert Pálovics:
Online Machine Learning in Big Data Streams. - Shunhao Oh, Seth Gilbert:
A Reallocation Algorithm for Online Split Packing of Circles. - Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar:
Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy. - Zoltán Kovács, Tomás Recio, M. Pilar Vélez:
Detecting truth on components. - Andrea Cavagna, Stefania Melillo, Leonardo Parisi, Federico Ricci-Tersenghi:
SpaRTA - Tracking across occlusions via global partitioning of 3D clouds of points. - Miguel Rios, Wilker Aziz, Khalil Sima'an:
Deep Generative Model for Joint Alignment and Word Representation. - Lee Prangnell, Miguel Hernández-Cabronero, Victor Sanchez:
Coding Block-Level Perceptual Video Coding for 4: 4: 4 Data in HEVC. - Chao Li, Shohei Shimizu:
Combining Linear Non-Gaussian Acyclic Model with Logistic Regression Model for Estimating Causal Structure from Mixed Continuous and Discrete Data. - Adam Kortylewski, Andreas Schneider, Thomas Gerig, Bernhard Egger, Andreas Morel-Forster, Thomas Vetter:
Training Deep Face Recognition Systems with Synthetic Data. - Kevin Jasberg, Sergej Sizov:
Neuroscientific User Models: The Source of Uncertain User Feedback and Potentials for Improving Web Personalisation. - Kevin Jasberg, Sergej Sizov:
Dealing with Uncertainties in User Feedback: Strategies Between Denying and Accepting. - Matteo Cossu, Michael Färber, Georg Lausen:
PRoST: Distributed Execution of SPARQL Queries Using Mixed Partitioning Strategies. - Luca Donati, Simone Cesano, Andrea Prati:
A complete hand-drawn sketch vectorization framework. - Jessica A. Enright, Kitty Meeks:
Changing times to optimise reachability in temporal graphs. - Hideo Bannai, Travis Gagie, Tomohiro I:
Online LZ77 Parsing and Matching Statistics with RLBWTs. - Nils M. Kriege, Matthias Fey, Denis Fisseler, Petra Mutzel, Frank Weichert:
Recognizing Cuneiform Signs Using Graph Based Methods. - Emilio Garcia-Fidalgo, Alberto Ortiz:
iBoW-LCD: An Appearance-based Loop Closure Detection Approach using Incremental Bags of Binary Words. - Steven Van Vaerenbergh, Ignacio Santamaría, Victor Elvira, Matteo Salvatori:
Pattern Localization in Time Series through Signal-To-Model Alignment in Latent Space. - Mehmet Baygin, Mehmet Karaköse, Alisan Sarimaden, Erhan Akin:
An Image Processing based Object Counting Approach for Machine Vision Application. - Florian Dubost, Hieab Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI. - Mike Dodds, Mark Batty, Alexey Gotsman:
Compositional Verification of Compiler Optimisations on Relaxed Memory. - Libor Bukata, Premysl Sucha, Zdenek Hanzálek, Pavel Burget:
Energy Optimization of Robotic Cells. - Jesse Anderton, Pavel Metrikov, Virgil Pavlu, Javed A. Aslam:
Measuring Human-perceived Similarity in Heterogeneous Collections. - K. M. Annervaz, Somnath Basu Roy Chowdhury, Ambedkar Dukkipati:
Learning beyond datasets: Knowledge Graph Augmented Neural Networks for Natural language Processing. - Somnath Basu Roy Chowdhury, K. M. Annervaz, Ambedkar Dukkipati:
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing. - Daisuke Kimura, Makoto Tatsuta:
Decidability for Entailments of Symbolic Heaps with Arrays. - Eugenio Petrovich:
Accumulation of Knowledge in Para-Scientific Areas. The Case of Analytic Philosophy. - Yuhao Zhu, Gu-Yeon Wei, David M. Brooks:
Cloud No Longer a Silver Bullet, Edge to the Rescue. - Hui Wang, Michael Emmerich, Aske Plaat:
Monte Carlo Q-learning for General Game Playing. - Alex Rushforth, Alfredo Yegros-Yegros, Philippe Mongeon, Thed N. van Leeuwen:
How does undone science get funded? A bibliometric analysis linking rare diseases publications to national and European funding sources. - Boran Taylan Balci, Umutcan Simsek, Elias Kärle, Dieter Fensel:
Analysis of Schema.org Usage in the Tourism Domain. - Henry Edison, Xiaofeng Wang, Ronald Jabangwe, Pekka Abrahamsson:
Innovation Initiatives in Large Software Companies: A Systematic Mapping Study. - Takeru Miyato, Toshiki Kataoka, Masanori Koyama, Yuichi Yoshida:
Spectral Normalization for Generative Adversarial Networks. - Peng Li, Rodrigo C. de Lamare, Jingjing Liu:
Study of Knowledge-Aided Iterative Detection and Decoding for Multiuser MIMO Systems. - James V. Stone:
Information Theory: A Tutorial Introduction. - Álvaro García-Pérez, Alexey Gotsman, Yuri Meshman, Ilya Sergey:
Paxos Consensus, Deconstructed and Abstracted (Extended Version). - Rana Ali Amjad:
A Mismatched Joint Source-Channel Coding Perspective of Probabilistic Amplitude Shaping: Achievable Rates and Error Exponents. - Chams Lahlou, Laurent Truffet:
A Combinatorial Problem Arising From Ecology: the Maximum Empower Problem. - Konstantinos Makantasis, Anastasios D. Doulamis, Nikolaos Doulamis, Antonis Nikitakis, Athanasios Voulodimos:
Tensor-based Nonlinear Classifier for High-Order Data Analysis. - Simon M. Lucas, Jialin Liu, Diego Perez Liebana:
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation. - Maciej Jaskowski, Jakub Swiatkowski, Michal Zajac, Maciej Klimek, Jarek Potiuk, Piotr Rybicki, Piotr Polatowski, Przemyslaw Walczyk, Kacper Nowicki, Marek Cygan:
Improved GQ-CNN: Deep Learning Model for Planning Robust Grasps. - David Orden, Leonidas Palios, Carlos Seara, Pawel Zylinski:
Generalized kernels of polygons under rotation. - Tomás Teijeiro, Constantino A. García, Daniel Castro, Paulo Félix:
Abductive reasoning as the basis to reproduce expert criteria in ECG Atrial Fibrillation identification. - Cheng Li, Bin Xia, Pihe Hu, Yao Yao:
Optimal Hybrid Full-Duplex/Half-Duplex Scheme of the Buffer Aided Relay System. - Takatomo Kano, Sakriani Sakti, Satoshi Nakamura:
Structured-based Curriculum Learning for End-to-end English-Japanese Speech Translation. - Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou:
Neural Voice Cloning with a Few Samples. - Daniel Lichtblau, Catalin Stoean:
Authorship Attribution Using the Chaos Game Representation. - Johann Vierthaler, Roman Kruszelnicki, Julian Schütte:
WebEye - Automated Collection of Malicious HTTP Traffic. - Maurice S. Fabien, Matthew G. Knepley, Beatrice M. Riviere:
A hybridizable discontinuous Galerkin method for two-phase flow in heterogeneous porous media. - Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing:
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. - Sahisnu Mazumder, Nianzu Ma, Bing Liu:
Towards a Continuous Knowledge Learning Engine for Chatbots. - Faimison Rodrigues Porto, Leandro L. Minku, Emilia Mendes, Adenilso Simão:
A Systematic Study of Cross-Project Defect Prediction With Meta-Learning. - Felix Reidl, Magnus Wahlström:
Parameterized Algorithms for Zero Extension and Metric Labelling Problems. - Axel Bacher:
Improving the Florentine algorithms: recovering algorithms for Motzkin and Schröder paths. - Aaron Goodman:
Learning Implicit Communication Strategies for the Purpose of Illicit Collusion. - Ivica Nikolic, Aashish Kolluri, Ilya Sergey, Prateek Saxena, Aquinas Hobor:
Finding The Greedy, Prodigal, and Suicidal Contracts at Scale. - Marianna J. Martindale, Marine Carpuat:
Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT. - Karthikeyan Sundaresan, Eugene Chai, Ayon Chakraborty, Sampath Rangarajan:
SkyLiTE: End-to-End Design of Low-Altitude UAV Networks for Providing LTE Connectivity. - Prabhat Kumar, Anupam Saxena, Roger A. Sauer:
Computational synthesis of large deformation compliant mechanisms undergoing self and mutual contact. - Lucas Ondel, Pierre Godard, Laurent Besacier, Elin Larsen, Mark Hasegawa-Johnson, Odette Scharenborg, Emmanuel Dupoux, Lukás Burget, François Yvon, Sanjeev Khudanpur:
Bayesian Models for Unit Discovery on a Very Low Resource Language. - Eric Malmi, Aristides Gionis, Arno Solin:
Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating. - Shaowei Xie, Qiu Shen, Yiling Xu, Qiaojian Qian, Shaowei Wang, Zhan Ma, Wenjun Zhang:
Viewport Adaptation-Based Immersive Video Streaming: Perceptual Modeling and Applications. - Yusuke Tsuzuku, Hiroto Imachi, Takuya Akiba:
Variance-based Gradient Compression for Efficient Distributed Deep Learning. - Rongqing Zhang, Xiang Cheng, Liuqing Yang:
Flexible Energy Management Protocol for Cooperative EV-to-EV Charging. - Xiaofeng Yang, Deepak Ajwani, Wolfgang Gatterbauer, Patrick K. Nicholson, Mirek Riedewald, Alessandra Sala:
Any-k: Anytime Top-k Tree Pattern Retrieval in Labeled Graphs. - Peter Kokol, Milan Zorman, Grega Zlahtic, Bojan Zlahtic:
Code smells. - Pierre-Louis Giscard, Richard C. Wilson:
A Centrality Measure for Cycles and Subgraphs II. - Peter Kokol, Jernej Zavrsnik, Helena Blazun Vosner:
Artificial intelligence and pediatrics: A synthetic mini review. - Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz, Sergey Levine:
Diversity is All You Need: Learning Skills without a Reward Function. - Michael Lee, Matthew Hanczor, Jiyang Chu, Zhong He, Nathan Michael, Red Whittaker:
3-D Volumetric Gamma-ray Imaging and Source Localization with a Mobile Robot. - Gerhard Jäger:
Global-scale phylogenetic linguistic inference from lexical resources. - Amir Rosenfeld, John K. Tsotsos:
Bridging Cognitive Programs and Machine Learning. - Peter L. Bartlett, David P. Helmbold, Philip M. Long:
Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks. - Andreas Göbel, J. A. Gregor Lagodzinski, Karen Seidel:
Counting Homomorphisms to Trees Modulo a Prime. - Chuyang Ke, Jean Honorio:
Information-theoretic Limits for Community Detection in Network Models. - Ismael T. Freire, Clément Moulin-Frier, Martí Sánchez-Fibla, Xerxes D. Arsiwalla, Paul F. M. J. Verschure:
Modeling the Formation of Social Conventions in Multi-Agent Populations. - Zachary A. Daniels, Dimitris N. Metaxas:
Scenarios: A New Representation for Complex Scene Understanding. - Vishesh Jain, Frederic Koehler, Elchanan Mossel:
The Mean-Field Approximation: Information Inequalities, Algorithms, and Complexity. - Vishesh Jain, Frederic Koehler, Elchanan Mossel:
The Vertex Sample Complexity of Free Energy is Polynomial. - Sungjoon Choi, John Isidoro, Pascal Getreuer, Peyman Milanfar:
Fast, Trainable, Multiscale Denoising. - Sangwoo Park, Lynne M. Weber, Lauri Bishop, Joel Stein, Matei T. Ciocarlie:
Design and Development of Effective Transmission Mechanisms on a Tendon Driven Hand Orthosis for Stroke Patients. - Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
Implicit Robot-Human Communication in Adversarial and Collaborative Environments. - Sandeep Soni, Shawn Ling Ramirez, Jacob Eisenstein:
Discriminative Modeling of Social Influence for Prediction and Explanation in Event Cascades. - Jaden B. Travnik, Kory W. Mathewson, Richard S. Sutton, Patrick M. Pilarski:
Reactive Reinforcement Learning in Asynchronous Environments. - Maryam Khanian, Ali Sharifi Boroujerdi, Michael Breuß:
Real-Time 3D Shape of Micro-Details. - Thomas Place, Marc Zeitoun:
A generic characterization of Pol(C). - Jeffrey Chan, Valerio Perrone, Jeffrey P. Spence, Paul A. Jenkins, Sara Mathieson, Yun S. Song:
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks. - Matthieu Lequesne, Jean-Pierre Tillich:
Attack on the Edon-K Key Encapsulation Mechanism. - Shuo Zhang, Krisztian Balog:
Ad Hoc Table Retrieval using Semantic Similarity. - Robert Kleinberg, Yuanzhi Li, Yang Yuan:
An Alternative View: When Does SGD Escape Local Minima? - Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.:
Learning to Race through Coordinate Descent Bayesian Optimisation. - Bilal Farooq, Elisabetta Cherchi, Anae Sobhani:
Virtual Immersive Reality for Stated Preference Travel Behaviour Experiments: A Case Study of Autonomous Vehicles on Urban Roads. - Naji Khosravan, Ulas Bagci:
Semi-supervised multi-task learning for lung cancer diagnosis. - Maduako N. Ikechukwu, Francis I. Okeke:
Towards Realisation of Heterogeneous Earth-Observation Sensor Database Framework for the Sensor Observation Service based on PostGIS. - Vikas Reddy, Amrith Krishna, Vishnu Dutt Sharma, Prateek Gupta, Vineeth M. R, Pawan Goyal:
Building a Word Segmenter for Sanskrit Overnight. - Jingbo Shang, Xiyao Shi, Meng Jiang, Liyuan Liu, Timothy P. Hanratty, Jiawei Han:
Contrast Subgraph Mining from Coherent Cores. - Praveen Krishnan, C. V. Jawahar:
HWNet v2: An Efficient Word Image Representation for Handwritten Documents. - Bhavana Mehta, Jonti Talukdar, Sachin Gajjar:
High Speed SRT Divider for Intelligent Embedded System. - Abhik Jana, Pawan Goyal:
Can Network Embedding of Distributional Thesaurus be Combined with Word Vectors for Better Representation? - Jacky C. K. Chow:
Drift-Free Indoor Navigation Using Simultaneous Localization and Mapping of the Ambient Heterogeneous Magnetic Field. - Alexander G. Churbanov, Petr N. Vabishchevich:
Numerical solution of boundary value problems for the eikonal equation in an anisotropic medium. - Bin Fu, Pengfei Gu, Yuming Zhao:
Approximate Set Union Via Approximate Randomization. - Seyyed Hossein HasanPour, Mohammad Rouhani, Mohsen Fayyaz, Mohammad Sabokrou, Ehsan Adeli:
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet. - Birzhan Moldagaliyev:
Randomness of formal languages via automatic martingales. - Maghilnan S, Rajesh Kumar M:
Sentiment Analysis on Speaker Specific Speech Data. - Chien-Chung Huang, Naonori Kakimura:
Multi-Pass Streaming Algorithms for Monotone Submodular Function Maximization. - P. S. Prashanth Rao, Rajesh Kumar Muthu:
A New De-blurring Technique for License Plate Images with Robust Length Estimation. - Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee:
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. - Andrej Bauer, Gaëtan Gilbert, Philipp G. Haselwarter, Matija Pretnar, Christopher A. Stone:
Design and Implementation of the Andromeda Proof Assistant. - Mohieddin Jafari, Sayed Mohammad Fakhar:
Network Centrality Analysis of Tehran Urban and Suburban Railway System. - Houssam Zenati, Chuan Sheng Foo, Bruno Lecouat, Gaurav Manek, Vijay Ramaseshan Chandrasekhar:
Efficient GAN-Based Anomaly Detection. - Eunjin Oh, Luis Barba, Hee-Kap Ahn:
The Geodesic Farthest-point Voronoi Diagram in a Simple Polygon. - A. F. Al Azzawi, Mohamed Bettaz, H. M. Al-Refai:
Generating Python Code From Object-Z Specifications. - Petros Giannakopoulos, Yannis Cotronis:
A Deep Q-Learning Agent for the L-Game with Variable Batch Training. - Michael Ruderman, Shota Yamada, Hiroshi Fujimoto:
Backlash Identification in Two-Mass Systems by Delayed Relay Feedback. - Mark Heimann, Haoming Shen, Danai Koutra:
Node Representation Learning for Multiple Networks: The Case of Graph Alignment. - Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei:
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. - Naji Khosravan, Haydar Celik, Baris Turkbey, Elizabeth C. Jones, Bradford J. Wood, Ulas Bagci:
A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning. - Amin Javari, Hongxiang Qiu, Elham Barzegaran, Mahdi Jalili, Kevin Chen-Chuan Chang:
Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by Joining Local and Global Information. - Hrushikesh N. Mhaskar, Tomaso A. Poggio:
An analysis of training and generalization errors in shallow and deep networks. - Raghav Shankar, Benjamin Kobin, Saurabh Bagchi, Michael Kistler, Jan S. Rellermeyer:
MAVIS: Managing Datacenters using Smartphones. - Shang-En Huang, Seth Pettie:
Lower Bounds on Sparse Spanners, Emulators, and Diameter-reducing shortcuts. - Jeremy D. Castagno, Ella M. Atkins:
Automatic Classification of Roof Shapes for Multicopter Emergency Landing Site Selection. - Alejandro Aguirre, Gilles Barthe, Justin Hsu, Alexandra Silva:
Almost Sure Productivity. - Yanju Gu:
Greening Geographical Power Allocation for Cellular Networks. - Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi:
Nonconvex Matrix Factorization from Rank-One Measurements. - R. Karthik, Dhruv Tyagi, Amogh Raut, Soumya Saxena, Rajesh Kumar Muthu:
Implementation of Neural Network and feature extraction to classify ECG signals. - Friedrich Eisenbrand, Christoph Hunkenschröder, Kim-Manuel Klein:
Faster Algorithms for Integer Programs with Block Structure. - Majid Ghasemi-Gol, Pedro A. Szekely:
TabVec: Table Vectors for Classification of Web Tables. - Ashok Cutkosky, Francesco Orabona:
Black-Box Reductions for Parameter-free Online Learning in Banach Spaces. - Martin Peter Christiansen, Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Ibrahim A. Hameed:
Collaborative model based design of automated and robotic agricultural vehicles in the Crescendo Tool. - Martin Peter Christiansen, Peter Gorm Larsen, Rasmus Nyholm Jørgensen:
Robotic design choice overview using co-simulation. - Marko Savic, Milos Stojakovic:
Bottleneck Bichromatic Non-crossing Matchings using Orbits. - Cezary J. Walczyk, Leonid V. Moroz, Jan L. Cieslinski:
Improving the accuracy of the fast inverse square root algorithm. - Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth:
Machine learning for Internet of Things data analysis: A survey. - Ziming Li, Artem Grotov, Julia Kiseleva, Maarten de Rijke, Harrie Oosterhuis:
Optimizing Interactive Systems with Data-Driven Objectives. - David Madras, Elliot Creager, Toniann Pitassi, Richard S. Zemel:
Learning Adversarially Fair and Transferable Representations. - Sarah Thornton:
Autonomous Vehicle Speed Control for Safe Navigation of Occluded Pedestrian Crosswalk. - Matheus Nohra Haddad, Rafael Martinelli, Thibaut Vidal, Luiz Satoru Ochi, Simone L. Martins, Marcone Jamilson Freitas Souza, Richard F. Hartl:
Large Neighborhood-Based Metaheuristic and Branch-and-Price for the Pickup and Delivery Problem with Split Loads. - Pontus Johnson, Paul Ralph, Mathias Ekstedt, Iaakov Exman, Michael Goedicke:
Consensus in Software Engineering: A Cognitive Mapping Study. - Paul Ralph, Briony J. Oates:
The Dangerous Dogmas of Software Engineering. - Amir H. Bayegan, Peter Clote:
Minimum length RNA folding trajectories. - SeongHyeon Park, Byeongdo Kim, Chang Mook Kang, Chung Choo Chung, Jun Won Choi:
Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture. - Insu Han, Haim Avron, Jinwoo Shin:
Optimizing Spectral Sums using Randomized Chebyshev Expansions. - Yunwen Lei, Ding-Xuan Zhou:
Convergence of Online Mirror Descent Algorithms. - Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla:
Anomaly Detection using One-Class Neural Networks. - Moses Charikar, Yonatan Naamad, Jimmy Wu:
On Finding Dense Common Subgraphs. - Xingyu Liu, Jeff Pool, Song Han, William J. Dally:
Efficient Sparse-Winograd Convolutional Neural Networks. - Kento Nozawa, Masanari Kimura, Atsunori Kanemura:
Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms. - Panagiotis Charalampopoulos, Maxime Crochemore, Costas S. Iliopoulos, Tomasz Kociumaka, Solon P. Pissis, Jakub Radoszewski, Wojciech Rytter, Tomasz Walen:
Linear-Time Algorithm for Long LCF with k Mismatches. - Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar:
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. - Andre Kuhlenschmidt, Deyaaeldeen Almahallawi, Jeremy G. Siek:
Efficient Gradual Typing. - Yasuo Tabei, Yoshihiro Yamanishi, Rasmus Pagh:
Scalable Alignment Kernels via Space-Efficient Feature Maps. - Dimitrios Kanoulas, Jinoh Lee, Darwin G. Caldwell, Nikos G. Tsagarakis:
Center-of-Mass-Based Grasp Pose Adaptation Using 3D Range and Force/Torque Sensing. - Fabian Gieseke, Christian Igel:
Training Big Random Forests with Little Resources. - Evgeny Frolov, Ivan V. Oseledets:
HybridSVD: When Collaborative Information is Not Enough. - Stavros Petridis, Jie Shen, Doruk Cetin, Maja Pantic:
Visual-Only Recognition of Normal, Whispered and Silent Speech. - Sina Rezaei Aghdam, Alireza Nooraiepour, Tolga M. Duman:
An Overview of Physical Layer Security with Finite-Alphabet Signaling. - Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin:
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. - Jinsung Yoon, James Jordon, Mihaela van der Schaar:
RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks. - Satrya Fajri Pratama, Azah Kamilah Muda, Yun-Huoy Choo, Ramon Carbó-Dorca, Ajith Abraham:
Using 3D Hahn Moments as A Computational Representation of ATS Drugs Molecular Structure. - Florian Kreyssig, Chao Zhang, Philip C. Woodland:
Improved TDNNs using Deep Kernels and Frequency Dependent Grid-RNNs. - Andreas Haas:
Solving Large-Scale Minimum-Weight Triangulation Instances to Provable Optimality. - Yongxi Tan, Jin Yang, Xin Chen, Qitao Song, Yunjun Chen, Zhangxiang Ye, Zhenqiang Su:
Sim-To-Real Optimization Of Complex Real World Mobile Network with Imperfect Information via Deep Reinforcement Learning from Self-play. - Stavros Petridis, Themos Stafylakis, Pingchuan Ma, Feipeng Cai, Georgios Tzimiropoulos, Maja Pantic:
End-to-end Audiovisual Speech Recognition. - Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard:
Estimating scale-invariant future in continuous time. - Fengyi Tang, Kaixiang Lin, Ikechukwu Uchendu, Hiroko H. Dodge, Jiayu Zhou:
Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation. - Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Mung Chiang, Prateek Mittal:
DARTS: Deceiving Autonomous Cars with Toxic Signs. - Fady Medhat, David Chesmore, John Robinson:
Music Genre Classification using Masked Conditional Neural Networks. - Haewoon Kwak, Jisun An, Joni Salminen, Soon-Gyo Jung, Bernard J. Jansen:
What We Read, What We Search: Media Attention and Public Attention Among 193 Countries. - Belinda Tzen, Tengyuan Liang, Maxim Raginsky:
Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability. - Kyriakos Axiotis, Christos Tzamos:
Capacitated Dynamic Programming: Faster Knapsack and Graph Algorithms. - Rafael G. L. D'Oliveira, Salim El Rouayheb:
Lifting Private Information Retrieval from Two to any Number of Messages. - Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou:
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning. - Jakob Weiss, Nicola Rieke, Mohammad Ali Nasseri, Mathias Maier, Abouzar Eslami, Nassir Navab:
Fast 5DOF Needle Tracking in iOCT. - Yanpeng Yang, Hossein Shokri Ghadikolaei, Carlo Fischione, Marina Petrova, Ki Won Sung:
Reducing Initial Cell-search Latency in mmWave Networks. - Shuang Ma, Chang Wen Chen:
D-Sempre: Learning Deep Semantic-Preserving Embeddings for User interests-Social Contents Modeling. - Shuang Ma, Jianlong Fu, Chang Wen Chen, Tao Mei:
DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials). - Nelson Nauata, Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori:
Structured Label Inference for Visual Understanding. - Farhad Shakerin, Gopal Gupta:
Heuristic Based Induction of Answer Set Programs: From Default theories to combinatorial problems. - Tat-Jun Chin, Zhipeng Cai, Frank Neumann:
Robust Fitting in Computer Vision: Easy or Hard? - Ying Shan, Jian Jiao, Jie Zhu, J. C. Mao:
Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors. - Adam Liska, Germán Kruszewski, Marco Baroni:
Memorize or generalize? Searching for a compositional RNN in a haystack. - Jianjun Yuan, Andrew G. Lamperski:
Online Convex Optimization for Cumulative Constraints. - Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, Jan Kautz:
A Closed-form Solution to Photorealistic Image Stylization. - Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu:
Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care. - Kazuya Haraguchi:
An Efficient Local Search for the Minimum Independent Dominating Set Problem. - Qingkai Liang, Fanyu Que, Eytan H. Modiano:
Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning. - Homa Esfahanizadeh, Ahmed H. Hareedy, Lara Dolecek:
Finite-Length Construction of High Performance Spatially-Coupled Codes via Optimized Partitioning and Lifting. - Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Nimrod Talmon:
Committee Scoring Rules: Axiomatic Characterization and Hierarchy. - Alexander Wong, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl:
Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection. - Nneka Chinelo Ene, Maribel Fernández, Bruno Pinaud:
Attributed Hierarchical Port Graphs and Applications. 2-19 - Liyi Li, Elsa L. Gunter:
A Method to Translate Order-Sorted Algebras to Many-Sorted Algebras. 20-34 - Shinnosuke Mizutani, Naoki Nishida:
Transforming Proof Tableaux of Hoare Logic into Inference Sequences of Rewriting Induction. 35-51 - Koko Muroya, Dan R. Ghica:
Efficient Implementation of Evaluation Strategies via Token-Guided Graph Rewriting. 52-66 - Yutaro Nagae, Masahiko Sakai:
Reduced Dependency Spaces for Existential Parameterised Boolean Equation Systems. 67-81 - Tomohiro Sasano, Naoki Nishida, Masahiko Sakai, Tomoya Ueyama:
Transforming Dependency Chains of Constrained TRSs into Bounded Monotone Sequences of Integers. 82-97 - Manfred Schmidt-Schauß, Nils Dallmeyer:
Space Improvements and Equivalences in a Functional Core Language. 98-112 - Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin:
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. - Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang:
BDA-PCH: Block-Diagonal Approximation of Positive-Curvature Hessian for Training Neural Networks. - Charisee Chiw, Gordon L. Kindlmann, John H. Reppy:
Compiling Diderot: From Tensor Calculus to C. - Buddhika Nettasinghe, Vikram Krishnamurthy:
What Do Your Friends Think? Efficient Polling Methods for Networks Using Friendship Paradox. - Sanjeev Arora, Nadav Cohen, Elad Hazan:
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization. - Takehiro Ito, Yota Otachi:
Reconfiguration of Colorable Sets in Classes of Perfect Graphs. - Ekaterina Bayguzina, Bruno Clerckx:
Modulation Design for Wireless Information and Power Transfer with Nonlinear Energy Harvester Modeling. - Marcelo Cicconet, H. Elliott, David L. Richmond, D. Wainstock, M. C. Walsh:
Image Forensics: Detecting duplication of scientific images with manipulation-invariant image similarity. - Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou:
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. - Ahmed Attia, Alen Alexanderian, Arvind K. Saibaba:
Goal-Oriented Optimal Design of Experiments for Large-Scale Bayesian Linear Inverse Problems. - Chang-Shing Lee, Mei-Hui Wang, Li-Wei Ko, Naoyuki Kubota, Lu-An Lin, Shinya Kitaoka, Yu-Te Wang, Shun-Feng Su:
Human and Smart Machine Co-Learning with Brain Computer Interface. - Daniel Rugeles, Zhen Hai, Gao Cong, Manoranjan Dash:
Heron Inference for Bayesian Graphical Models. - Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen:
Salient Object Detection by Lossless Feature Reflection. - Birzhan Moldagaliyev:
Automatic supermartingales acting on sequences. - Takeharu Shiraga:
Discrepancy Analysis of a New Randomized Diffusion Algorithm for Weighted Round Matrices. - Ji He, Jia Liu, Yulong Shen, Xiaohong Jiang:
Link Selection for Secure Cooperative Networks with Buffer-Aided Relaying. - Zhichao Sheng, Hoang Duong Tuan, Trung Quang Duong, H. Vincent Poor:
Optimal Beamforming for Physical Layer Security in MISO Wireless Networks. - Raphaël Clifford, Allan Grønlund, Kasper Green Larsen, Tatiana Starikovskaya:
Upper and lower bounds for dynamic data structures on strings. - Lei Xu, Alexandros Iosifidis, Moncef Gabbouj:
Weighted Linear Discriminant Analysis based on Class Saliency Information. - Marcelo Sousa, Isil Dillig, Shuvendu K. Lahiri:
Verifying Semantic Conflict-Freedom in Three-Way Program Merges. - Yingzhen Li:
Are Generative Classifiers More Robust to Adversarial Attacks? - Yusa Matsuda, Satoshi Takahashi:
A 4-Approximation Algorithm for k-Prize Collecting Steiner Tree Problems. - Andrew Collins, Dominika Tkaczyk, Akiko Aizawa, Jöran Beel:
A Study of Position Bias in Digital Library Recommender Systems. - Alexandr Basov, Daniel de Carvalho, Manuel Mazzara:
Implementing distributed λ-calculus interpreter. - Ruofan Zhou, Radhakrishna Achanta, Sabine Süsstrunk:
Deep Residual Network for Joint Demosaicing and Super-Resolution. - Gael Lederrey, Robert West:
When Sheep Shop: Measuring Herding Effects in Product Ratings with Natural Experiments. - Linda Kleist, Boris Klemz, Anna Lubiw, Lena Schlipf, Frank Staals, Darren Strash:
Convexity-Increasing Morphs of Planar Graphs. - Chang-Heng Wang, Jaime Llorca, Antonia M. Tulino, Tara Javidi:
Dynamic Cloud Network Control under Reconfiguration Delay and Cost. - Rodrigo Marcos, Oliva García Cantú, Ricardo Herranz:
A Machine Learning Approach to Air Traffic Route Choice Modelling. - Jonathan Tong, German Ignacio Parisi, Stefan Wermter, Brigitte Röder:
Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration. - Frédéric Blanqui:
Size-based termination of higher-order rewriting. - Garrett Andersen, Peter Vrancx, Haitham Bou-Ammar:
Learning High-level Representations from Demonstrations. - Michael Cochez:
On the computation of Shannon Entropy from Counting Bloom Filters. - Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein:
Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. - Timur M. Khanipov:
Ensemble computation approach to the Hough transform. - Tung Mai, Vijay V. Vazirani:
A Natural Generalization of Stable Matching Solved via New Insights into Ideal Cuts. - Putri Kurniasih, Dian Pratiwi:
Osteoarthritis Disease Detection System using Self Organizing Maps Method based on Ossa Manus X-Ray. - Jani Boutellier, Jiahao Wu, Heikki Huttunen, Shuvra S. Bhattacharyya:
PRUNE: Dynamic and Decidable Dataflow for Signal Processing on Heterogeneous Platforms. - Beranger Dumont, Simona Maggio, Pablo Montalvo:
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations. - Alonso Rodríguez-Navarro, Ricardo Brito:
Technological research in the EU is less efficient than the world average. EU research policy risks Europeans' future. - Evangelos Bampas, Jérémie Chalopin, Shantanu Das, Jan Hackfeld, Christina Karousatou:
Maximal Exploration of Trees with Energy-Constrained Agents. - Boris Sharchilev, Yury Ustinovsky, Pavel Serdyukov, Maarten de Rijke:
Finding Influential Training Samples for Gradient Boosted Decision Trees. - Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing. - Domenico Saccà, Angelo Furfaro:
CalcuList: a Functional Language Extended with Imperative Features. - Wenjie Li, Mohamad Assaad, Ghadir Ayache, Maialen Larrañaga:
Matrix Exponential Learning for Resource Allocation with Low Informational Exchange. - Emmanuel Hainry, Romain Péchoux:
A Type-Based Complexity Analysis of Object Oriented Programs. - Antonios Anastasopoulos, David Chiang:
Tied Multitask Learning for Neural Speech Translation. - Fariba Aalamifar, Lutz Lampe:
Cost-efficient QoS-Aware Data Acquisition Point Placement for Advanced Metering Infrastructure. - Piotr Hofman, Slawomir Lasota:
Linear Equations with Ordered Data. - Gerard Pons, David Masip:
Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition. - Stéphane Bessy, Marin Bougeret, Jocelyn Thiebaut:
(Arc-disjoint) cycle packing in tournament: classical and parameterized complexity. - Hsiao-Lan Chiang, Wolfgang Rave, Tobias Kadur, Gerhard P. Fettweis:
Frequency-Selective Hybrid Beamforming Based on Implicit CSI for Millimeter Wave Systems. - Manuela Fischer, Mohsen Ghaffari:
A Simple Parallel and Distributed Sampling Technique: Local Glauber Dynamics. - Wojciech Czerwinski, Piotr Hofman, Georg Zetzsche:
Unboundedness problems for languages of vector addition systems. - Weiming Feng, Yitong Yin:
On Local Distributed Sampling and Counting. - Mario Werner, Thomas Unterluggauer, David Schaffenrath, Stefan Mangard:
Sponge-Based Control-Flow Protection for IoT Devices. - Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf:
Analysis of Cause-Effect Inference via Regression Errors. - Anna Lubiw, Tillmann Miltzow, Debajyoti Mondal:
The Complexity of Drawing a Graph in a Polygonal Region. - Matthias Bentert, Alexander Dittmann, Leon Kellerhals, André Nichterlein, Rolf Niedermeier:
Towards Improving Brandes' Algorithm for Betweenness Centrality. - Tommaso Zugno, Michele Polese, Michele Zorzi:
Integration of Carrier Aggregation and Dual Connectivity for the ns-3 mmWave Module. - Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Deep Echo State Networks for Diagnosis of Parkinson's Disease. - Martin Wilhelm:
Multithreading for the expression-dag-based number type Real_algebraic. - Amit Kumar, Rama Chellappa:
Disentangling 3D Pose in A Dendritic CNN for Unconstrained 2D Face Alignment. - Subhashini Krishnasamy, Ari Arapostathis, Ramesh Johari, Sanjay Shakkottai:
On Learning the cμ Rule: Single and Multiserver Settings. - Ali Javidani, Ahmad Mahmoudi Aznaveh:
Learning Representative Temporal Features for Action Recognition. - Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang, Jiayu Zhou:
Differentially Private Generative Adversarial Network. - Marthe Bonamy, Paul Ouvrard, Mikaël Rabie, Jukka Suomela, Jara Uitto:
Distributed Recoloring. - Manuela Fischer, Jara Uitto:
Breaking the Linear-Memory Barrier in MPC: Fast MIS on Trees with nε Memory per Machine. - Michal Derezinski, Manfred K. Warmuth, Daniel Hsu:
Tail bounds for volume sampled linear regression. - Guillem Cucurull, Pau Rodríguez, V. Oguz Yazici, Josep M. Gonfaus, F. Xavier Roca, Jordi Gonzàlez:
Deep Inference of Personality Traits by Integrating Image and Word Use in Social Networks. - Amin Azari, Guowang Miao:
Network Lifetime Maximization for Cellular-Based M2M Networks. - Michele Pasquini, Maurizio Serva:
Stability of items: an experimental test. - Samuel K. Ainsworth, Nicholas J. Foti, Adrian K. C. Lee, Emily B. Fox:
Interpretable VAEs for nonlinear group factor analysis. - A. V. Palagin, N. G. Petrenko, V. Yu. Velychko, K. S. Malakhov:
The problem of the development ontology-driven architecture of intellectual software systems. - Oleksandr V. Palagin, K. S. Malakhov, V. Yu. Velichko, O. S. Shurov:
Design and software implementation of subsystems for creating and using the ontological base of a research scientist. - A. V. Palagin, N. G. Petrenko, K. S. Malakhov:
Technique for designing a domain ontology. - Dheeraj Mekala, Vivek Gupta, Purushottam Kar, Harish Karnick:
Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss. - Yu Yang, Lingyang Chu, Yanyan Zhang, Zhefeng Wang, Jian Pei, Enhong Chen:
Mining Density Contrast Subgraphs. - Seyed-Mohsen Moosavi-Dezfooli, Ashish Shrivastava, Oncel Tuzel:
Divide, Denoise, and Defend against Adversarial Attacks. - Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez:
On the Complexity of Opinions and Online Discussions. - Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau:
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. - Austin R. Benson:
Tools for higher-order network analysis. - V. Yu. Velychko, K. S. Malakhov, V. V. Semenkov, A. E. Strizhak:
Integrated Tools for Engineering Ontologies. - Zheng Shou, Junting Pan, Jonathan Chan, Kazuyuki Miyazawa, Hassan Mansour, Anthony Vetro, Xavier Giró-i-Nieto, Shih-Fu Chang:
Online Action Detection in Untrimmed, Streaming Videos - Modeling and Evaluation. - Stephan Zheng, Rose Yu, Yisong Yue:
Multi-resolution Tensor Learning for Large-Scale Spatial Data. - A. V. Palagin, N. G. Petrenko, V. Yu. Velychko, K. S. Malakhov, O. V. Karun:
Principles of design and software development models of ontological-driven computer systems. - Murad Abu-Khalaf, Suat Gumussoy:
Comments on: "Lyapunov matrices for a class of time delay systems" by V. L. Kharitonov. - Nariman Farsad, Milind Rao, Andrea Goldsmith:
Deep Learning for Joint Source-Channel Coding of Text. - Niels Dalum Hansen, Kåre Mølbak, Ingemar J. Cox, Christina Lioma:
Seasonal Web Search Query Selection for Influenza-Like Illness (ILI) Estimation. - Pedro Piacenza, Weipeng Dang, Emily Hannigan, Jeremy Espinal, Ikram Hussain, Ioannis Kymissis, Matei T. Ciocarlie:
Accurate Contact Localization and Indentation Depth Prediction With an Optics-based Tactile Sensor. - Meng Guo, Sofie Andersson, Dimos V. Dimarogonas:
Human-in-the-Loop Mixed-Initiative Control under Temporal Tasks. - Yang Gao, Rita Singh, Bhiksha Raj:
Voice Impersonation using Generative Adversarial Networks. - Yohan Jordan, Dirk von Wissel, Adrian Dolha, Jakob Mauss:
Full Virtualization of Renault's Engine Management Software and Application to System Development. - Hady ElSahar, Christophe Gravier, Frédérique Laforest:
Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types. - Zeeshan Bhatti, Ahsan Abro, Abdul Rehman Gillal, Mostafa Karbasi:
Be-Educated: Multimedia Learning through 3D Animation. - Emilio Parisotto, Devendra Singh Chaplot, Jian Zhang, Ruslan Salakhutdinov:
Global Pose Estimation with an Attention-based Recurrent Network. - Vikramjit Mitra, Horacio Franco:
Interpreting DNN output layer activations: A strategy to cope with unseen data in speech recognition. - Karishma Rahman, Upulee Kanewala:
Predicting Metamorphic Relation for Matrix Calculation Programs. - Timothy de Moor, Alejandro Rodríguez-Ruiz, Ritse Mann, Jonas Teuwen:
Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network. - Ismail Kayali:
Expert System for Diagnosis of Chest Diseases Using Neural Networks. - Leszek Gasieniec, Grzegorz Stachowiak, Przemyslaw Uznanski:
Almost logarithmic-time space optimal leader election in population protocols. - Cunxi Yu, Maciej J. Ciesielski:
Formal Analysis of Galois Field Arithmetics - Parallel Verification and Reverse Engineering. - Yu Cheng, Wade Hann-Caruthers, Omer Tamuz:
A Deterministic Protocol for Sequential Asymptotic Learning. - Adrian Kosowski, Przemyslaw Uznanski:
Population Protocols Made Easy. - Benjamin Cowen, Apoorva Nandini Saridena, Anna Choromanska:
LSALSA: efficient sparse coding in single and multiple dictionary settings. - Christoffer Holmgård, Michael Cerny Green, Antonios Liapis, Julian Togelius:
Automated Playtesting with Procedural Personas through MCTS with Evolved Heuristics. - Nof Abuzainab, Walid Saad:
A Multiclass Mean-Field Game for Thwarting Misinformation Spread in the Internet of Battlefield Things (IoBT). - Fernando Tohmé, Ignacio D. Viglizzo:
Superrational types. - Matthew Fellows, Kamil Ciosek, Shimon Whiteson:
Fourier Policy Gradients. - Siddharth Dinesh:
Real World Evaluation of Approaches to Research Paper Recommendation. - Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov:
Learning Word Vectors for 157 Languages. - Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos:
Learning Hidden Markov Models from Pairwise Co-occurrences with Applications to Topic Modeling. - Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati:
Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations. - Patrick Emami, Panos M. Pardalos, Lily Elefteriadou, Sanjay Ranka:
Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking. - Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney, Kostas Daniilidis:
EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras. - Jason Lee, Elman Mansimov, Kyunghyun Cho:
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement. - Antonino Orsino, Roman Kovalchukov, Andrey K. Samuylov, Dmitri Moltchanov, Sergey Andreev, Yevgeni Koucheryavy, Mikko Valkama:
Caching-Aided Collaborative D2D Operation for Predictive Data Dissemination in Industrial IoT. - James Demmel, Grace Dinh:
Communication-Optimal Convolutional Neural Nets. - Mohammad Reza Abedi, Mohammad R. Javan, Nader Mokari:
Single or Multiple Frames Content Delivery for Robust and Secure Communication in Energy and Spectrum Efficient 5G Networks? - Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, Jon M. Kleinberg:
Simplicial Closure and Higher-order Link Prediction. - John Mern, Jayesh K. Gupta, Mykel J. Kochenderfer:
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures. - Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue:
Teaching Categories to Human Learners with Visual Explanations. - Yang Gao, Shouyan Guo, Kaimin Huang, Jiaxin Chen, Qian Gong, Yang Zou, Tong Bai, Gary Overett:
Scale Optimization for Full-Image-CNN Vehicle Detection. - Vinay Uday Prabhu, Nishant Desai, John Whaley:
On Lyapunov exponents and adversarial perturbation. - Massimiliano Di Ventra, Fabio L. Traversa:
Memcomputing: Leveraging memory and physics to compute efficiently. - Mohammed Jabi, Leszek Szczecinski, Mustapha Benjillali, Abdellatif Benyouss, Benoit Pelletier:
AMC and HARQ: How to Increase the Throughput. - Stephen Gillen, Christopher Jung, Michael J. Kearns, Aaron Roth:
Online Learning with an Unknown Fairness Metric. - Irina Gribanova, Alexander A. Semenov:
Using Automatic Generation of Relaxation Constraints to Improve the Preimage Attack on 39-step MD4. - Jiangyan Yi, Jianhua Tao, Zhengqi Wen, Bin Liu:
Distilling Knowledge Using Parallel Data for Far-field Speech Recognition. - Ehsan Kazemi, Lin Chen, Sanjoy Dasgupta, Amin Karbasi:
Comparison Based Learning from Weak Oracles. - Matthew Sotoudeh, Sara S. Baghsorkhi:
DeepThin: A Self-Compressing Library for Deep Neural Networks. - Guangmo Amo Tong, Weili Wu, Ding-Zhu Du:
Coupon Advertising in Online Social Systems: Algorithms and Sampling Techniques. - Saikat Chakraborty, Yujian Li, Matt Irvine, Ripon Saha, Baishakhi Ray:
Entropy Guided Spectrum Based Bug Localization Using Statistical Language Model. - Amith R. Mamidala:
Efficient Embedding of MPI Collectives in MXNET DAGs for scaling Deep Learning. - Tirthankar Ghosal, Amitra Salam, Swati Tiwari, Asif Ekbal, Pushpak Bhattacharyya:
TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection. - Yerlan Amanbek, Ilyas Balgayev, Kanat Batyrkhanov, Margaret Tan:
Adoption of e-government in the Republic of Kazakhstan. - Weiming Feng, Thomas P. Hayes, Yitong Yin:
Distributed Symmetry Breaking in Sampling (Optimal Distributed Randomly Coloring with Fewer Colors). - Md. Zahangir Alom, Mahmudul Hasan, Chris Yakopcic, Tarek M. Taha, Vijayan K. Asari:
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation. - Shangxing Wang, Hanpeng Liu, Pedro Henrique Gomes, Bhaskar Krishnamachari:
Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks. - Pingping Zhang, Luyao Wang, Dong Wang, Huchuan Lu, Chunhua Shen:
Agile Amulet: Real-Time Salient Object Detection with Contextual Attention. - Karim Said Barsim, Lukas Mauch, Bin Yang:
Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements. - Min-Kook Choi, Jaehyeong Park, Jihun Jung, Heechul Jung, Jin-Hee Lee, Woong-Jae Won, Woo Young Jung, Jincheol Kim, Soon Kwon:
Co-occurrence matrix analysis-based semi-supervised training for object detection. - Zakaria Mhammedi, Robert C. Williamson:
Constant Regret, Generalized Mixability, and Mirror Descent. - Spyridon Mastorakis, Tahrina Ahmed, Jayaprakash Pisharath:
ISA-Based Trusted Network Functions And Server Applications In The Untrusted Cloud. - Jiang Bian, Dayong Tian, Yuanyan Tang, Dacheng Tao:
A survey on trajectory clustering analysis. - Weiming Xiang, Hoang-Dung Tran, Joel A. Rosenfeld, Taylor T. Johnson:
Reachable Set Estimation and Safety Verification for Piecewise Linear Systems with Neural Network Controllers. - Fei Li, Pingping Zhang, Huchuan Lu:
Unsupervised Band Selection of Hyperspectral Images via Multi-dictionary Sparse Representation. - Eliya Nachmani, Adam Polyak, Yaniv Taigman, Lior Wolf:
Fitting New Speakers Based on a Short Untranscribed Sample. - Aditya Bhaskara, Samira Daruki, Suresh Venkatasubramanian:
Sublinear Algorithms for MAXCUT and Correlation Clustering. - Xiaoqi Li, Peng Jiang, Ting Chen, Xiapu Luo, Qiaoyan Wen:
A Survey on the Security of Blockchain Systems. - Gede Artha Azriadi Prana, Christoph Treude, Ferdian Thung, Thushari Atapattu, David Lo:
Categorizing the Content of GitHub README Files. - Denis Rystsov:
CASPaxos: Replicated State Machines without logs. - Zhiyong Cui, Kristian Henrickson, Ruimin Ke, Yinhai Wang:
High-Order Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting. - Ken R. Duffy, Jiange Li, Muriel Médard:
Capacity-achieving decoding by guessing noise. - Yuehong Huang, Yu-Chee Tseng:
Fusing Video and Inertial Sensor Data for Walking Person Identification. - Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim:
Discovering Hidden Topical Hubs and Authorities in Online Social Networks. - Gewu Bu, Maria Potop-Butucaru:
BAN-GZKP: Optimal Zero Knowledge Proof based Scheme for Wireless Body Area Networks. - Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher:
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. - Sonja Biedermann, Monika Henzinger, Christian Schulz, Bernhard Schuster:
Memetic Graph Clustering. - Uli Fahrenberg:
Higher-Dimensional Timed Automata. - Haim Kaplan, László Kozma, Or Zamir, Uri Zwick:
Selection from heaps, row-sorted matrices and X+Y using soft heaps. - Alex Hernández-García, Peter König:
Do deep nets really need weight decay and dropout? - Léonard Blier, Yann Ollivier:
Do Deep Learning Models Have Too Many Parameters? An Information Theory Viewpoint. - Simon Korman, Roee Litman:
Latent RANSAC. - Yueqiang Cheng, Zhi Zhang, Surya Nepal:
Still Hammerable and Exploitable: on the Effectiveness of Software-only Physical Kernel Isolation. - Zhi Zhang, Yueqiang Cheng, Surya Nepal, Dongxi Liu, Qingni Shen, Fethi A. Rabhi:
A Reliable and Practical Approach to Kernel Attack Surface Reduction of Commodity OS. - Xiaochuan Yin, Henglai Wei, Penghong Lin, Xiangwei Wang, Qijun Chen:
Novel View Synthesis for Large-scale Scene using Adversarial Loss. - Trinh Van Chien, Emil Björnson, Erik G. Larsson, Tuan Anh Le:
Distributed Power Control in Downlink Cellular Massive MIMO Systems. - Chen Wang, Tete Ji, Thien-Minh Nguyen, Lihua Xie:
Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators. - Joan Boyar, Lene M. Favrholdt, Kim S. Larsen:
Relative Worst-Order Analysis: A Survey. - Jörn-Henrik Jacobsen, Arnold W. M. Smeulders, Edouard Oyallon:
i-RevNet: Deep Invertible Networks. - Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He:
Attentive Tensor Product Learning for Language Generation and Grammar Parsing. - R. Krithika, Abhishek Sahu, Saket Saurabh, Meirav Zehavi:
The Parameterized Complexity of Packing Arc-Disjoint Cycles in Tournaments. - Moritz Kampelmühler, Michael G. Müller, Christoph Feichtenhofer:
Camera-based vehicle velocity estimation from monocular video. - Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox:
Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks. - Moran Feldman, Amin Karbasi, Ehsan Kazemi:
Do Less, Get More: Streaming Submodular Maximization with Subsampling. - Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Mingli Song:
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. - Eleni C. Akrida, George B. Mertzios, Paul G. Spirakis, Viktor Zamaraev:
Temporal Vertex Cover with a Sliding Time Window. - Susanne Sparrer, Robert F. H. Fischer:
Bias Compensation in Iterative Soft-Feedback Algorithms with Application to (Discrete) Compressed Sensing. - Yakov Babichenko, Dan Garber:
Learning of Optimal Forecast Aggregation in Partial Evidence Environments. - Ana Paula Appel, Vagner Figuerêdo de Santana, Luis Gregorio Moyano, Márcia Ito, Claudio Santos Pinhanez:
A Social Network Analysis Framework for Modeling Health Insurance Claims Data. - Ana Paula Appel, Paulo Rodrigo Cavalin, Marisa Affonso Vasconcelos, Claudio Santos Pinhanez:
Combining Textual Content and Structure to Improve Dialog Similarity. - Behrouz Bolourian Haghighi, Amir Hossein Taherinia, Reza Monsefi:
TRLF: An Effective Semi-fragile Watermarking Method for Tamper Detection and Recovery based on LWT and FNN. - Mahdieh Abbasi, Christian Gagné:
Out-distribution training confers robustness to deep neural networks. - Matthew Joseph, Aaron Roth, Jonathan R. Ullman, Bo Waggoner:
Local Differential Privacy for Evolving Data. - Vaibhav Kulkarni, Arielle Moro, Bertil Chapuis, Benoît Garbinato:
Capstone: Mobility Modeling on Smartphones to Achieve Privacy by Design. - Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante:
Towards Deep Representation Learning with Genetic Programming. - Michael Felderer, Bogdan Marculescu, Francisco Gomes de Oliveira Neto, Robert Feldt, Richard Torkar:
A Testability Analysis Framework for Non-Functional Properties. - Henning Basold:
Breaking the Loop: Recursive Proofs for Coinductive Predicates in Fibrations. - Alexandra Henzinger, Alexander Noe, Christian Schulz:
ILP-based Local Search for Graph Partitioning. - Liam Cattell, Gustavo K. Rohde:
Transport-Based Pattern Theory: A Signal Transformation Approach. - Xiaolin Wang, Masao Utiyama, Eiichiro Sumita:
CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++. - Benjamin A. Burton, Sergio Cabello, Stefan Kratsch, William Pettersson:
The parameterized complexity of finding a 2-sphere in a simplicial complex. - Sumeet Katariya, Lalit Jain, Nandana Sengupta, James Evans, Robert Nowak:
Adaptive Sampling for Coarse Ranking. - Shirel Attali, Merav Parter, David Peleg, Shay Solomon:
Wireless Expanders. - Sajad Mousavi, Fatemeh Afghah, Jonathan D. Ashdown, Kurt A. Turck:
Leader-follower based Coalition Formation in Large-scale UAV Networks, A Quantum Evolutionary Approach. - Kirthevasan Kandasamy, Willie Neiswanger, Jeff Schneider, Barnabás Póczos, Eric P. Xing:
Neural Architecture Search with Bayesian Optimisation and Optimal Transport. - Paul Glotfelter, Magnus Egerstedt:
A Parametric MPC Approach to Balancing the Cost of Abstraction for Differential-Drive Mobile Robots. - Ahmed M. Alaa, Mihaela van der Schaar:
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning. - Leonid Barenboim, Victor Khazanov:
Distributed Symmetry-Breaking Algorithms for Congested Cliques. - Oscar Rahnama, Duncan P. Frost, Ondrej Miksik, Philip H. S. Torr:
Real-Time Dense Stereo Matching With ELAS on FPGA Accelerated Embedded Devices. - Negin Musavi, Ayman Manzoor, Yildiray Yildiz:
A 3D Game Theoretical Framework for the Evaluation of Unmanned Aircraft Systems Airspace Integration Concepts. - Behnaz Arzani, Selim Ciraci, Luiz F. O. Chamon, Yibo Zhu, Hongqiang Liu, Jitu Padhye, Boon Thau Loo, Geoff Outhred:
007: Democratically Finding The Cause of Packet Drops. - Pengxiang Cheng, Katrin Erk:
Implicit Argument Prediction with Event Knowledge. - Miles Brundage, Shahar Avin, Jack Clark, Helen Toner, Peter Eckersley, Ben Garfinkel, Allan Dafoe, Paul Scharre, Thomas Zeitzoff, Bobby Filar, Hyrum S. Anderson, Heather Roff, Gregory C. Allen, Jacob Steinhardt, Carrick Flynn, Seán Ó hÉigeartaigh, Simon Beard, Haydn Belfield, Sebastian Farquhar, Clare Lyle, Rebecca Crootof, Owain Evans, Michael Page, Joanna Bryson, Roman Yampolskiy, Dario Amodei:
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation. - Steve Hanneke, Adam Kalai, Gautam Kamath, Christos Tzamos:
Actively Avoiding Nonsense in Generative Models. - Mustafa A. Mustafa, Aysajan Abidin, Enrique Argones-Rúa:
Frictionless Authentication System: Security & Privacy Analysis and Potential Solutions. - Tim Van hamme, Vera Rimmer, Davy Preuveneers, Wouter Joosen, Mustafa A. Mustafa, Aysajan Abidin, Enrique Argones-Rúa:
Frictionless Authentication Systems: Emerging Trends, Research Challenges and Opportunities. - Christos Kaplanis, Murray Shanahan, Claudia Clopath:
Continual Reinforcement Learning with Complex Synapses. - Ethan MacBrough:
Cobalt: BFT Governance in Open Networks. - Brad Chase, Ethan MacBrough:
Analysis of the XRP Ledger Consensus Protocol. - Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez:
Steering Social Activity: A Stochastic Optimal Control Point Of View. - Abhishek Gupta, Russell Mendonca, Yuxuan Liu, Pieter Abbeel, Sergey Levine:
Meta-Reinforcement Learning of Structured Exploration Strategies. - Hashim A. Hashim, Sami El-Ferik, Mohamed A. Abido:
A fuzzy logic feedback filter design tuned with PSO for L1 adaptive controller. - Joseph A. E. Shaheen:
Simulating the Ridesharing Economy: The Individual Agent Metro-Washington Area Ridesharing Model. - Ashudeep Singh, Thorsten Joachims:
Fairness of Exposure in Rankings. - Yanhong A. Liu:
Logic Programming Applications: What Are the Abstractions and Implementations? - Waqar Detho:
Developing a system for securely time-stamping and visualizing the changes made to online news content. - Marco Mondelli, Andrea Montanari:
On the Connection Between Learning Two-Layers Neural Networks and Tensor Decomposition. - Mengran Gou, Fei Xiong, Octavia I. Camps, Mario Sznaier:
MoNet: Moments Embedding Network. - Benedetto Intrigila, Giulio Manzonetto, Andrew Polonsky:
Degrees of extensionality in the theory of Böhm trees and Sallé's conjecture. - Tuhin Sarkar, Mardavij Roozbehani, Munther A. Dahleh:
Robustness in Consensus Networks. - Bonnie Hardin, Upulee Kanewala:
Using Semi-Supervised Learning for Predicting Metamorphic Relations. - Nikolay Matveev, Kirill V. Andreev, Alexey A. Frolov, Andrey M. Turlikov:
Achievability Bounds for T-Fold Irregular Repetition Slotted ALOHA Scheme in the Gaussian Multiple Access Channel. - Alberto Sonnino, Mustafa Al-Bassam, Shehar Bano, George Danezis:
Coconut: Threshold Issuance Selective Disclosure Credentials with Applications to Distributed Ledgers. - Michael T. Ouimet, David Iglesias, Nisar R. Ahmed, Sonia Martínez:
Cooperative Robot Localization Using Event-triggered Estimation. - Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr:
Devon: Deformable Volume Network for Learning Optical Flow. - Madhusudan Srinivasan, Morteza Pourreza Shahri, Upulee Kanewala, Indika Kahanda:
Quality Assurance of Bioinformatics Software: A Case Study of Testing a Biomedical Text Processing Tool Using Metamorphic Testing. - Prashanta Saha, Upulee Kanewala:
Fault Detection Effectiveness of Source Test Case Generation Strategies for Metamorphic Testing. - Spencer Smith, Yue Sun, Jacques Carette:
Statistical Software for Psychology: Comparing Development Practices Between CRAN and Other Communities. - Radu Mardare, Prakash Panangaden, Gordon D. Plotkin:
Free complete Wasserstein algebras. - Siddhartha Brahma:
SufiSent - Universal Sentence Representations Using Suffix Encodings. - Siddhartha Brahma:
On the scaling of polynomial features for representation matching. - Funda Ergün, Elena Grigorescu, Erfan Sadeqi Azer, Samson Zhou:
Periodicity in Data Streams with Wildcards. - Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang:
Scalable Label Propagation for Multi-relational Learning on Tensor Product Graph. - Thibaut Horel, Sunoo Park, Silas Richelson, Vinod Vaikuntanathan:
How to Subvert Backdoored Encryption: Security Against Adversaries that Decrypt All Ciphertexts. - Elad Tolochinsky, Dan Feldman:
Coresets For Monotonic Functions with Applications to Deep Learning. - Xin Zhang, Armando Solar-Lezama, Rishabh Singh:
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections. - Simina Brânzei, Ruta Mehta, Noam Nisan:
Universal Growth in Production Economies. - Hyeontaek Lim, David G. Andersen, Michael Kaminsky:
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning. - Georg Zetzsche:
PTL-separability and closures for WQOs on words. - Jingbo Shang, Tianhang Sun, Jiaming Shen, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han:
Investigating Rumor News Using Agreement-Aware Search. - Arjun Karuvally:
A Study into the similarity in generator and discriminator in GAN architecture. - Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani:
Third-Party Data Providers Ruin Simple Mechanisms. - Minquan Cheng, Qiaoling Zhang, Jing Jiang:
Improved rate for a multi-server coded caching. - He Zhang, Vishal M. Patel:
Density-aware Single Image De-raining using a Multi-stream Dense Network. - Amir Babaeian:
Angle constrained path to cluster multiple manifolds. - Ashok Vardhan Makkuva, Sreeram Kannan, Pramod Viswanath:
Globally Consistent Algorithms for Mixture of Experts. - Siddharth Dalmia, Ramon Sanabria, Florian Metze, Alan W. Black:
Sequence-based Multi-lingual Low Resource Speech Recognition. - Zhilei Liu, Guoxian Song, Jianfei Cai, Tat-Jen Cham, Juyong Zhang:
Conditional Adversarial Synthesis of 3D Facial Action Units. - Vijay Bhattiprolu, Mrinalkanti Ghosh, Venkatesan Guruswami, Euiwoong Lee, Madhur Tulsiani:
Inapproximability of Matrix p→q Norms. - Peiyun Hu, Zachary C. Lipton, Anima Anandkumar, Deva Ramanan:
Active Learning with Partial Feedback. - Xiang Shi, Lin Wang, Fa Zhang, Kai Zheng, Max Mühlhäuser, Zhiyong Liu:
PABO: A Link-Layer Congestion Mitigation Mechanism Based on Packet Bounce. - Thaddeus Dryja, Quanquan C. Liu, Sunoo Park:
Static-Memory-Hard Functions and Nonlinear Space-Time Tradeoffs via Pebbling. - Diego Figueira, M. Praveen:
Playing with Repetitions in Data Words Using Energy Games. - Thanh-Toan Do, Dang-Khoa Le Tan, Trung Pham, Tuan Hoang, Ngai-Man Cheung:
Binary Constrained Deep Hashing Network for Image Retrieval without Human Intervention. - Jatin Batra, Naveen Garg, Amit Kumar:
Constant Factor Approximation Algorithm for Weighted Flow Time on a Single Machine in Pseudo-polynomial time. - Telikepalli Kavitha:
Max-size popular matchings and extensions. - Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins:
Learning to Play with Intrinsically-Motivated Self-Aware Agents. - Chen Luo, Anshumali Shrivastava:
Scaling-up Split-Merge MCMC with Locality Sensitive Sampling (LSS). - Payam Delgosha, Venkat Anantharam:
Distributed Compression of Graphical Data. - Jie Cao, Yibo Hu, Bing Yu, Ran He, Zhenan Sun:
Load Balanced GANs for Multi-view Face Image Synthesis. - Xueqing Deng, Yi Zhu, Shawn D. Newsam:
Spatial Morphing Kernel Regression For Feature Interpolation. - Javier García:
Communication Using Eigenvalues of Higher Multiplicity of the Nonlinear Fourier Transform. - Tetsunao Matsuta, Tomohiko Uyematsu:
Non-Asymptotic Bounds and a General Formula for the Rate-Distortion Region of the Successive Refinement Problem. - Bang Liu, Ting Zhang, Di Niu, Jinghong Lin, Kunfeng Lai, Yu Xu:
Matching Long Text Documents via Graph Convolutional Networks. - Yi-Nan Li, Mei-Chen Yeh:
Learning Image Conditioned Label Space for Multilabel Classification. - Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins:
Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation. - Tetsunao Matsuta, Tomohiko Uyematsu:
An Information-Theoretical Analysis of the Minimum Cost to Erase Information. - Fidel A. Guerrero-Peña, Pedro D. Marrero-Fernández, Tsang Ing Ren, Mary Yui, Ellen Rothenberg, Alexandre Cunha:
Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells. - Pat Pannuto, Benjamin P. Kempke, Prabal Dutta:
Slocalization: Sub-μW Ultra Wideband Backscatter Localization. - Johannes Pillmann, Benjamin Sliwa, Jens Schmutzler, Christoph Ide, Christian Wietfeld:
Car-to-Cloud Communication Traffic Analysis Based on the Common Vehicle Information Model. - Johannes Pillmann, Benjamin Sliwa, Christian Kastin, Christian Wietfeld:
Empirical evaluation of predictive channel-aware transmission for resource efficient car-to-cloud communication. - Junnan Yang, Ming Ding, Guoqiang Mao, Zihuai Lin, De-gan Zhang, Tom Hao Luan:
Optimal Base Station Antenna Downtilt in Downlink Cellular Networks. - Stéphane Guinard, Bruno Vallet:
Sensor-topology based simplicial complex reconstruction. - Anthony Hunter, Sylwia Polberg, Matthias Thimm:
Epistemic Graphs for Representing and Reasoning with Positive and Negative Influences of Arguments. - Shan Luo, Wenzhen Yuan, Edward H. Adelson, Anthony G. Cohn, Raul Fuentes:
ViTac: Feature Sharing between Vision and Tactile Sensing for Cloth Texture Recognition. - Dinesh Dash:
Approximation Algorithms for Road Coverage Using Wireless Sensor Networks for Moving Objects Monitoring. - Michael Feldmann, Christian Scheideler, Alexander Setzer:
Skueue: A Scalable and Sequentially Consistent Distributed Queue. - Domenico Cantone, Marianna Nicolosi Asmundo, Ewa Orlowska:
A Dual Tableau-based Decision Procedure for a Relational Logic with the Universal Relation (Extended Version). - Andreas Loukas, Pierre Vandergheynst:
Spectrally approximating large graphs with smaller graphs. - Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury:
Density Weighted Connectivity of Grass Pixels in Image Frames for Biomass Estimation. - Pijus Simonaitis, Annie Chateau, Krister M. Swenson:
A framework for cost-constrained genome rearrangement under Double Cut and Join. - Dan McGinn, Doug McIlwraith, Yike Guo:
Toward Open Data Blockchain Analytics: A Bitcoin Perspective. - Michail-Antisthenis I. Tsompanas, Andrew Adamatzky, Ioannis Ieropoulos, Neil Phillips, Georgios Ch. Sirakoulis, John Greenman:
Modelling Microbial Fuel Cells using lattice Boltzmann methods. - Zilong Tan, Sayan Mukherjee:
Learning Integral Representations of Gaussian Processes. - Oleksandr V. Palagin, K. S. Malakhov, V. Yu. Velichko, O. S. Shchurov:
Personal research information system. About developing the methods for searching patent analogs of invention. - Omar Reyad, M. A. Mofaddel, Walaa M. Abd-Elhafiez, Mohamed Fathy:
A Novel Image Encryption Scheme Based on Different Block Sizes for Grayscale and Color Images. - Johannes Fauser, Georgios Sakas, Anirban Mukhopadhyay:
Planning Nonlinear Access Paths for Temporal Bone Surgery. - (Withdrawn) C1 analysis of 2D subdivision schemes refining point-normal pairs with the circle average.
- Aljoscha Pörtner, Lilian Schröder, Robin Rasch, Dennis Sprute, Martin Hoffmann, Matthias König:
The Power of Color: A Study on the Effective Use of Colored Light in Human-Robot Interaction. - Yasuhiro Fujita, Shin-ichi Maeda:
Clipped Action Policy Gradient. - German Ignacio Parisi, Ronald Kemker, Jose L. Part, Christopher Kanan, Stefan Wermter:
Continual Lifelong Learning with Neural Networks: A Review. - David McAllester:
Information Theoretic Co-Training. - Tobias Schnabel, Paul N. Bennett, Thorsten Joachims:
Improving Recommender Systems Beyond the Algorithm. - (Withdrawn) DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation.
- Shaoning Zeng, Bob Zhang, Jianping Gou:
Deep Collaborative Weight-based Classification. - Mohamed Hajaj, Duncan Gillies:
Batch Normalization and the impact of batch structure on the behavior of deep convolution networks. - Václav Skala:
Least Square Error Method Robustness of Computation: What is not usually considered and taught. - Ioannis Tamvakis:
"How to squash a mathematical tomato", Rubic's cube-like surfaces and their connection to reversible computation. - Leonard Berrada, Andrew Zisserman, M. Pawan Kumar:
Smooth Loss Functions for Deep Top-k Classification. - Heeyoul Kwak, Jong-Seon No, Hosung Park:
Design of Irregular SC-LDPC Codes With Non-Uniform Degree Distributions by Linear Programing. - Moses Ganardi, Danny Hucke, Markus Lohrey:
Randomized sliding window algorithms for regular languages. - Simone Deparis, Luca Pegolotti:
Coupling non-conforming discretizations of PDEs by spectral approximation of the Lagrange multiplier space. - Luisa M. Zintgraf, Diederik M. Roijers, Sjoerd Linders, Catholijn M. Jonker, Ann Nowé:
Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making. - Yingfei Xiong, Bo Wang, Guirong Fu, Linfei Zang:
Learning to Synthesize. - Slawomir Lasota, Radoslaw Piórkowski:
WQO dichotomy for 3-graphs. - Amit Dhurandhar, Pin-Yu Chen, Ronny Luss, Chun-Chen Tu, Pai-Shun Ting, Karthikeyan Shanmugam, Payel Das:
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives. - Michael T. Gastner, Vivien Seguy, Pratyush More:
Fast flow-based algorithm for creating density-equalizing map projections. - L. Sunil Chandran, Yun Kuen Cheung, Davis Issac:
Spanning Tree Congestion and Computation of Generalized Győri-Lov{á}sz Partition. - Hongwen He, Hui Jia, Fengchun Sun, Chao Sun:
Stochastic Model Predictive Control of Air Conditioning System for Electric Vehicles: Sensitivity Study, Comparison and Improvement. - Pablo Arrighi, Giuseppe Di Molfetta, Nathanaël Eon:
A gauge-invariant reversible cellular automaton. - Christian Konrad:
MIS in the Congested Clique Model in O(log log Δ) Rounds. - Maryam Abdolali, Nicolas Gillis, Mohammad Rahmati:
Scalable and Robust Sparse Subspace Clustering Using Randomized Clustering and Multilayer Graphs. - Babajide O. Ayinde, Jacek M. Zurada:
Building Efficient ConvNets using Redundant Feature Pruning. - Sreejith Sreekumar, Deniz Gündüz:
Distributed Hypothesis Testing Over Discrete Memoryless Channels. - Mohamed Hajaj, Duncan Gillies:
Learning Multiple Categories on Deep Convolution Networks. - Marshall Ball, Dana Dachman-Soled, Siyao Guo, Tal Malkin, Li-Yang Tan:
Non-Malleable Codes for Small-Depth Circuits. - Kayvan Kousha, Mike Thelwall, Mahshid Abdoli:
Can Microsoft Academic assess the early citation impact of in-press articles? A multi-discipline exploratory analysis. - Emily Denton, Rob Fergus:
Stochastic Video Generation with a Learned Prior. - Souvik Bhattacherjee, Amol Deshpande:
RStore: A Distributed Multi-version Document Store. - Matthew Streeter:
Approximation Algorithms for Cascading Prediction Models. - Bernd Gärtner, Thomas Dueholm Hansen, Pavel Hubácek, Karel Král, Hagar Mosaad, Veronika Slívová:
ARRIVAL: Next Stop in CLS. - Wenhui Zhang:
Medical Volume Reconstruction Techniques. - Neil C. Rabinowitz, Frank Perbet, H. Francis Song, Chiyuan Zhang, S. M. Ali Eslami, Matthew M. Botvinick:
Machine Theory of Mind. - Mahdi Ahmadi, Ali Emami, Mohsen Hajabdollahi, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Lossless Compression of Angiogram Foreground with Visual Quality Preservation of Background. - João Monteiro, Zahid Akhtar, Tiago H. Falk:
Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch. - Mina Nasr-Esfahani, Majid Mohrekesh, Mojtaba Akbari, S. M. Reza Soroushmehr, Ebrahim Nasr-Esfahani, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Left Ventricle Segmentation in Cardiac MR Images Using Fully Convolutional Network. - Daniel DeFreez, Aditya V. Thakur, Cindy Rubio-González:
Path-Based Function Embedding and its Application to Specification Mining. - Atefe Rajaeefar, Ali Emami, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Lossless Image Compression Algorithm for Wireless Capsule Endoscopy by Content-Based Classification of Image Blocks. - John K. C. Kingston:
Artificial Intelligence and Legal Liability. - Hamidreza Zarrabi, Mohsen Hajabdollahi, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Reversible Image Watermarking for Health Informatics Systems Using Distortion Compensation in Wavelet Domain. - Mohsen Hajabdollahi, Reza Esfandiarpoor, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Segmentation of Bleeding Regions in Wireless Capsule Endoscopy Images an Approach for inside Capsule Video Summarization. - Philipe A. Dias, Henry Medeiros:
Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections. - Pihe Hu, Cheng Li, Dingjie Xu, Bin Xia:
Optimal Multi-User Scheduling of Buffer-Aided Relay Systems. - (Withdrawn) Liver Segmentation in Abdominal CT Images by Adaptive 3D Region Growing.
- D. Khuê Lê-Huu, Nikos Paragios:
Continuous Relaxation of MAP Inference: A Nonconvex Perspective. - Shima Rafiei, Ebrahim Nasr-Esfahani, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Liver segmentation in CT images using three dimensional to two dimensional fully connected network. - Cheng Li, Bin Xia, Zhiyong Chen:
A New Hybrid Half-Duplex/Full-Duplex Relaying System with Antenna Diversity. - Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi:
Protecting Sensory Data against Sensitive Inferences. - Mohsen Hajabdollahi, Reza Esfandiarpoor, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Low complexity convolutional neural network for vessel segmentation in portable retinal diagnostic devices. - Joshua Adkins, Branden Ghena, Neal Jackson, Pat Pannuto, Samuel Rohrer, Bradford Campbell, Prabal Dutta:
The Signpost Platform for City-Scale Sensing. - Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake M. Hofman, Jennifer Wortman Vaughan, Hanna M. Wallach:
Manipulating and Measuring Model Interpretability. - Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan:
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation. - Antonio Fernández Anta, Chryssis Georgiou, Kishori M. Konwar, Nicolas C. Nicolaou:
Formalizing and Implementing Distributed Ledger Objects. - Ana Sokolova, Harald Woracek:
Proper Semirings and Proper Convex Functors. - Justin Chang, Maurice S. Fabien, Matthew G. Knepley, Richard Tran Mills:
Comparative study of finite element methods using the Time-Accuracy-Size (TAS) spectrum analysis. - Tianbing Xu:
Variational Inference for Policy Gradient. - Kevin Tian, Teng Zhang, James Zou:
CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions. - Mohammad Mahdi Tajiki, Behzad Akbari, Mohammad Shojafar, Seyed Hesomodding Ghasemi, Mahdi Latifi Barazandeh, Nader Mokari, Luca Chiaraviglio, Michael Zink:
CECT: Computationally Efficient Congestion-avoidance and Traffic Engineering in Software-defined Cloud Data Centers. - Hamid Reza Maei:
Convergent Actor-Critic Algorithms Under Off-Policy Training and Function Approximation. - (Withdrawn) Detecting Small, Densely Distributed Objects with Filter-Amplifier Networks and Loss Boosting.
- Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan:
Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection. - Stephan Doerfel, Tom Hanika, Gerd Stumme:
Clones in Social Networks. - Ajaykrishnan Nageswaran, Prakash Narayan:
Data Privacy for a ρ-Recoverable Function. - Siddharth, Aashish N. Patel, Tzyy-Ping Jung, Terrence J. Sejnowski:
An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research. - Siddharth, Akshay Rangesh, Eshed Ohn-Bar, Mohan M. Trivedi:
Driver Hand Localization and Grasp Analysis: A Vision-based Real-time Approach. - Song Han, Tao Gong, Mark Nixon, Eric Rotvold, Kam-yiu Lam, Krithi Ramamritham:
RT-DAP: A Real-Time Data Analytics Platform for Large-scale Industrial Process Monitoring and Control. - Darius Lam, Richard Kuzma, Kevin McGee, Samuel Dooley, Michael Laielli, Matthew Klaric, Yaroslav Bulatov, Brendan McCord:
xView: Objects in Context in Overhead Imagery. - Sudipta Kar, Suraj Maharjan, Adrián Pastor López-Monroy, Thamar Solorio:
MPST: A Corpus of Movie Plot Synopses with Tags. - Zubair Shah, Paige Martin, Enrico W. Coiera, Kenneth D. Mandl, Adam G. Dunn:
Modelling spatiotemporal variation of positive and negative sentiment on Twitter to improve the identification of localised deviations. - Arindam Jati, Panayiotis G. Georgiou:
Neural Predictive Coding using Convolutional Neural Networks towards Unsupervised Learning of Speaker Characteristics. - Seungwhan Moon, Leonardo Neves, Vitor Carvalho:
Multimodal Named Entity Recognition for Short Social Media Posts. - Kazuhiro Kurita, Kunihiro Wasa, Hiroki Arimura, Takeaki Uno:
Efficient Enumeration of Dominating Sets for Sparse Graphs. - Jacky C. K. Chow:
Multi-Sensor Integration for Indoor 3D Reconstruction. - Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jan Ernst, Jana Kosecka:
End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching. - Fei Chen, Zhenhua Dong, Zhenguo Li, Xiuqiang He:
Federated Meta-Learning for Recommendation. - Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez:
Pooling homogeneous ensembles to build heterogeneous ensembles. - Changjian Shui, Azadeh Sadat Mozafari, Jonathan Marek, Ihsen Hedhli, Christian Gagné:
Diversity regularization in deep ensembles. - Si Si, Sanjiv Kumar, Yang Li:
Nonlinear Online Learning with Adaptive Nyström Approximation. - Junsuk Choe, Joo Hyun Park, Hyunjung Shim:
Improved Techniques For Weakly-Supervised Object Localization. - Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu:
Entropy Rate Estimation for Markov Chains with Large State Space. - Hanxu Hou, Yunghsiang Han, Patrick P. C. Lee, Yuchong Hu, Hui Li:
A New Design of Binary MDS Array Codes with Asymptotically Weak-Optimal Repair. - Yuanzhi Li, Yingyu Liang:
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity. - Haifeng Qian, Mark N. Wegman:
L2-Nonexpansive Neural Networks. - Fabien Baradel, Christian Wolf, Julien Mille, Graham W. Taylor:
Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points. - Jianxiang Xi, Zhiliang Fan, Hao Liu, Tang Zheng:
Guaranteed-cost consensus for multiagent networks with Lipschitz nonlinear dynamics and switching topologies. - Zhiyang Wang, Ruida Zhou, Cong Shen:
Regional Multi-Armed Bandits. - Ju Dai, Pingping Zhang, Huchuan Lu, Hongyu Wang:
Video Person Re-identification by Temporal Residual Learning. - Jianxiang Xi, Cheng Wang, Hao Liu, Zhong Wang:
Dynamic Output Feedback Guaranteed-Cost Synchronization for Multiagent Networks with Given Cost Budgets. - Xiaoming Chen, Zhaoyang Zhang, Caijun Zhong, Derrick Wing Kwan Ng, Rundong Jia:
Exploiting Inter-User Interference for Secure Massive Non-Orthogonal Multiple Access. - Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao:
Graph-Based Blind Image Deblurring From a Single Photograph. - Sikun Lin, Pan Hui:
Where's YOUR focus: Personalized Attention. - David Harvey, Joris van der Hoeven:
Faster integer multiplication using short lattice vectors. - Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, Ming-Hsuan Yang:
Adversarial Learning for Semi-Supervised Semantic Segmentation. - Marat V. Burnashev:
Two theorems on distribution of Gaussian quadratic forms. - Zhiyong Cheng, Ying Ding, Lei Zhu, Mohan S. Kankanhalli:
Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews. - Marat V. Burnashev:
On detection of Gaussian stochastic sequences. - Fredrik Johansson:
Numerical integration in arbitrary-precision ball arithmetic. - Laurent Bulteau, Danny Hermelin, Anthony Labarre, Stéphane Vialette:
The Clever Shopper Problem. - Lena Granovsky, Gabi Shalev, Nancy Yacovzada, Yotam Frank, Shai Fine:
Actigraphy-based Sleep/Wake Pattern Detection using Convolutional Neural Networks. - Borja Bovcon, Rok Mandeljc, Janez Pers, Matej Kristan:
Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentation. - Pingping Zhang, Dong Wang, Huchuan Lu, Hongyu Wang:
Non-rigid Object Tracking via Deep Multi-scale Spatial-Temporal Discriminative Saliency Maps. - Arindam Mitra, Chitta Baral:
Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct Examples. - Michael Elkin, Ofer Neiman:
Near Isometric Terminal Embeddings for Doubling Metrics. - Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi:
Robustness of classifiers to uniform 𝓁p and Gaussian noise. - Mourad Oussalah:
Evolution in complex objects. - Chris Culnane, Benjamin I. P. Rubinstein, Vanessa Teague:
Options for encoding names for data linking at the Australian Bureau of Statistics. - Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen:
Learning to Route with Sparse Trajectory Sets - Extended Version. - Flavio Corradini, Lucio Forastieri, Alberto Polzonetti, Oliviero Riganelli, Andrea Sergiacomi:
Shared Services Center for E-Government Policy. - Miroslav Bures, Karel Frajták, Bestoun S. Ahmed:
Tapir: Automation Support of Exploratory Testing Using Model Reconstruction of the System Under Test. - Heng Ding, Shuo Zhang, Darío Garigliotti, Krisztian Balog:
Generating High-Quality Query Suggestion Candidates for Task-Based Search. - Miroslav Bures, Bestoun S. Ahmed:
Employment of Multiple Algorithms for Optimal Path-based Test Selection Strategy. - Stephen Sinclair:
Sounderfeit: Cloning a Physical Model with Conditional Adversarial Autoencoders. - Gergely Neu, Lorenzo Rosasco:
Iterate averaging as regularization for stochastic gradient descent. - Darío Garigliotti, Krisztian Balog:
Towards an Understanding of Entity-Oriented Search Intents. - Daniel Tanneberg, Jan Peters, Elmar Rueckert:
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks. - Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou:
Finding Top-k Optimal Sequenced Routes - Full Version. - Daan Bloembergen, Davide Grossi, Martin Lackner:
On Rational Delegations in Liquid Democracy. - Cédric Renggli, Dan Alistarh, Torsten Hoefler:
SparCML: High-Performance Sparse Communication for Machine Learning. - Stefan Eilemann, David Steiner, Renato Pajarola:
Equalizer 2.0 - Convergence of a Parallel Rendering Framework. - Moshe Babaioff, Yang Cai, Yannai A. Gonczarowski, Mingfei Zhao:
The Best of Both Worlds: Asymptotically Efficient Mechanisms with a Guarantee on the Expected Gains-From-Trade. - Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini:
Complex-valued Neural Networks with Non-parametric Activation Functions. - Moshe Babaioff, Yannai A. Gonczarowski, Yishay Mansour, Shay Moran:
Are Two (Samples) Really Better Than One? On the Non-Asymptotic Performance of Empirical Revenue Maximization. - K. S. Malakhov, H. A. Mohylnyi, V. V. Semenkov, Yu. L. Tikhonov, S. V. Fylypenko:
Comparative analysis of SVIT and Skype features in e-Learning process. - Jan Vorel, Petr Kabele:
Inverse analysis of traction-separation relationship based on sequentially linear approach. - Yan Shen, Zhonghao Sun, Qinglong Wang:
When Renewable Energy Meets Building Thermal Mass: A Real-time Load Management Scheme. - Nazim Faour:
Data Consistency Simulation Tool for NoSQL Database Systems. - Diego Granziol, Edward Wagstaff, Bin Xin Ru, Michael A. Osborne, Stephen J. Roberts:
VBALD - Variational Bayesian Approximation of Log Determinants. - Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu:
A Learning Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models. - Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa, Angshul Majumdar:
MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis. - Philipp J. Meyer, Javier Esparza, Hagen Völzer:
Computing the concurrency threshold of sound free-choice workflow nets. - Luca de Alfaro, Massimo Di Pierro, Eugenio Tacchini, Gabriele Ballarin, Marco L. Della Vedova, Stefano Moret:
Reputation Systems for News on Twitter: A Large-Scale Study. - Salvador Aguiñaga, David Chiang, Tim Weninger:
Learning Hyperedge Replacement Grammars for Graph Generation. - Stefan Milius, Dirk Pattinson, Thorsten Wißmann:
A New Foundation for Finitary Corecursion and Iterative Algebras. - Lingkun Luo, Liming Chen, Ying Lu, Shiqiang Hu:
Discriminative Label Consistent Domain Adaptation. - Aditya Golatkar, Deepak Anand, Amit Sethi:
Classification of Breast Cancer Histology using Deep Learning. - Miao Wang, Guo-Ye Yang, Jin-Kun Lin, Ariel Shamir, Song-Hai Zhang, Shao-Ping Lu, Shi-Min Hu:
Deep Online Video Stabilization. - Moo-Ryong Ra:
Understanding the Performance of Ceph Block Storage for Hyper-Converged Cloud with All Flash Storage. - José Vuelvas, Fredy Ruiz:
Rational consumer decisions in a peak time rebate program. - Md. Ishaquddin, S. Gopalakrishnan:
Novel differential quadrature element method for higher order strain gradient elasticity theory. - Wei Li, Xiatian Zhu, Shaogang Gong:
Harmonious Attention Network for Person Re-Identification. - Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach:
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. - José Vuelvas, Fredy Ruiz:
A novel incentive-based demand response model for Cournot competition in electricity markets. - Muhammed O. Sayin, Chung-Wei Lin, Shinichi Shiraishi, Tamer Basar:
Reliable Intersection Control in Non-cooperative Environments. - Rick Szostak, Andrea Scharnhorst, Wouter Beek, Richard P. Smiraglia:
Connecting KOSs and the LOD Cloud. - Diego Moussallem, Mohamed Ahmed Sherif, Diego Esteves, Marcos Zampieri, Axel-Cyrille Ngonga Ngomo:
LIDIOMS: A Multilingual Linked Idioms Data Set. - Diego Moussallem, Thiago Castro Ferreira, Marcos Zampieri, Maria Cláudia Cavalcanti, Geraldo Xexéo, Mariana L. Neves, Axel-Cyrille Ngonga Ngomo:
RDF2PT: Generating Brazilian Portuguese Texts from RDF Data. - Abele Simona, Luca Bonaventura, Thomas Pugnat, Barbara Dalena:
High order time integrators for the simulation of charged particle motion in magnetic quadrupoles. - Lili Su, Martin Zubeldia, Nancy A. Lynch:
Collaboratively Learning the Best Option, Using Bounded Memory. - Ahmed S. Kaseb, Bo Fu, Anup Mohan, Yung-Hsiang Lu, Amy R. Reibman, George K. Thiruvathukal:
Analyzing Real-Time Multimedia Content From Network Cameras: Using CPUs and GPUs in the Cloud. - Serena Zheng, Marshini Chetty, Nick Feamster:
User Perceptions of Privacy in Smart Homes. - Eduard Eiben, Dusan Knop, Fahad Panolan, Ondrej Suchý:
Complexity of the Steiner Network Problem with Respect to the Number of Terminals. - Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alex Kurakin, Ian J. Goodfellow, Jascha Sohl-Dickstein:
Adversarial Examples that Fool both Human and Computer Vision. - Vishwa S. Parekh, Katarzyna J. Macura, Susan C. Harvey, Ihab Kamel, Riham El Khouli, David A. Bluemke, Michael A. Jacobs:
Multiparametric Deep Learning Tissue Signatures for a Radiological Biomarker of Breast Cancer: Preliminary Results. - Giovanni Casini, Umberto Straccia, Thomas Meyer:
A Polynomial Time Subsumption Algorithm for Nominal Safe ELO⊥ under Rational Closure. - Alex Fabrikant, Mohammad Mahdian, Andrew Tomkins:
SCRank: Spammer and Celebrity Ranking in Directed Social Networks. - Pedro Piacenza, Emily Hannigan, Clayton Baumgart, Yuchen Xiao, Steve Park, Keith Behrman, Weipeng Dang, Jeremy Espinal, Ikram Hussain, Ioannis Kymissis, Matei T. Ciocarlie:
Data-driven Tactile Sensing using Spatially Overlapping Signals. - Samuel Tabor, Iain Guilliard, Andrey Kolobov:
ArduSoar: an Open-Source Thermalling Controller for Resource-Constrained Autopilots. - Shikhar Sharma, Dendi Suhubdy, Vincent Michalski, Samira Ebrahimi Kahou, Yoshua Bengio:
ChatPainter: Improving Text to Image Generation using Dialogue. - Reza Moazzezi:
A new model for Cerebellar computation. - Danna Gurari, Qing Li, Abigale J. Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, Jeffrey P. Bigham:
VizWiz Grand Challenge: Answering Visual Questions from Blind People. - Nathaniel Thomas, Tess E. Smidt, Steven Kearnes, Lusann Yang, Li Li, Kai Kohlhoff, Patrick Riley:
Tensor Field Networks: Rotation- and Translation-Equivariant Neural Networks for 3D Point Clouds. - Sarah A. Obead, Jörg Kliewer:
Achievable Rate of Private Function Retrieval from MDS Coded Databases. - Nicholas Carlini, Chang Liu, Jernej Kos, Úlfar Erlingsson, Dawn Song:
The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets. - Rizwan A. Ashraf, Saurabh Hukerikar, Christian Engelmann:
Pattern-based Modeling of Multiresilience Solutions for High-Performance Computing. - Ian Sweet, José Manuel Calderón Trilla, Chad Scherrer, Michael Hicks, Stephen Magill:
What's the Over/Under? Probabilistic Bounds on Information Leakage. - Daniel Vieira, Fábio Medeiros Rangel, Fabrício Firmino de Faria, João Paixão:
Vector Field Based Neural Networks. - Xin Jin, Xiaozhou Li, Haoyu Zhang, Nate Foster, Jeongkeun Lee, Robert Soulé, Changhoon Kim, Ion Stoica:
NetChain: Scale-Free Sub-RTT Coordination (Extended Version). - Mohsen Ghaffari, Themis Gouleakis, Slobodan Mitrovic, Ronitt Rubinfeld:
Improved Massively Parallel Computation Algorithms for MIS, Matching, and Vertex Cover. - Zhewei Yao, Amir Gholami, Qi Lei, Kurt Keutzer, Michael W. Mahoney:
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries. - Satrya Fajri Pratama, Azah Kamilah Muda, Yun-Huoy Choo:
Arbitrarily Substantial Number Representation for Complex Number. - Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn, Jason D. Lee:
Solving Approximate Wasserstein GANs to Stationarity. - Abel S. Zacarias, Luís A. Alexandre:
Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation. - Jeremy Reizenstein, Benjamin Graham:
The iisignature library: efficient calculation of iterated-integral signatures and log signatures. - Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Daoyi Zheng, Rui Ren, Chen Zheng, Gang Lu, Jingwei Li, Zheng Cao, Shujie Zhang, Haoning Tang:
BigDataBench: A Dwarf-based Big Data and AI Benchmark Suite. - Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz:
SPLATNet: Sparse Lattice Networks for Point Cloud Processing. - Ashkan Zeinalzadeh, Donya Ghavidel, Vijay Gupta:
Reliability and Market Price of Energy in the Presence of Intermittent and Non-Dispatchable Renewable Energies. - Sagar Sharma, Keke Chen:
Privacy-Preserving Boosting with Random Linear Classifiers for Learning from User-Generated Data. - Jinjiang Guo, Pengyuan Ren, Aiguo Gu, Jian Xu, Weixin Wu:
Locally Adaptive Learning Loss for Semantic Image Segmentation. - Daniel J. Mankowitz, Augustin Zídek, André Barreto, Dan Horgan, Matteo Hessel, John Quan, Junhyuk Oh, Hado van Hasselt, David Silver, Tom Schaul:
Unicorn: Continual Learning with a Universal, Off-policy Agent. - Michael Foley, Patrick Forber, Rory Smead, Christoph Riedl:
Conflict and Convention in Dynamic Networks. - Chandra Bhagavatula, Sergey Feldman, Russell Power, Waleed Ammar:
Content-Based Citation Recommendation. - Z. Berkay Celik, Leonardo Babun, Amit Kumar Sikder, Hidayet Aksu, Gang Tan, Patrick D. McDaniel, A. Selcuk Uluagac:
Sensitive Information Tracking in Commodity IoT. - Xuefeng Peng, Jiebo Luo, Catherine Glenn, Li-Kai Chi, Jingyao Zhan:
Sleep-deprived Fatigue Pattern Analysis using Large-Scale Selfies from Social Med. - Mario Srouji, Jian Zhang, Ruslan Salakhutdinov:
Structured Control Nets for Deep Reinforcement Learning. - Yuqing Kong, Grant Schoenebeck:
Eliciting Expertise without Verification. - Chao Zhang, Philip C. Woodland:
High Order Recurrent Neural Networks for Acoustic Modelling. - Aleksandar Nikolov, Mohit Singh, Uthaipon Tao Tantipongpipat:
Proportional Volume Sampling and Approximation Algorithms for A-Optimal Design. - Omar Harib, Ayonga Hereid, Ayush Agrawal, Thomas Gurriet, Sylvain Finet, Guilhem Boeris, Alexis Duburcq, Margaret Eva Mungai, Matthieu Masselin, Aaron D. Ames, Koushil Sreenath, Jessy W. Grizzle:
Feedback Control of an Exoskeleton for Paraplegics: Toward Robustly Stable Hands-free Dynamic Walking. - (Withdrawn) A Comprehensive Review on Privacy-Preserving Metering in Smart Grid for Billing; Operation; and Rewarding Schemes, with Two Novel Solutions.
- Mario Gleirscher, Stefan Kugele:
From Hazard Analysis to Hazard Mitigation Planning: The Automated Driving Case. - Stefano Bistarelli, Francesco Santini, Carlo Taticchi:
On Looking for Local Expansion Invariants in Argumentation Semantics. - Andrew Cohen, Lei Yu, Robert Wright:
Diverse Exploration for Fast and Safe Policy Improvement. - Yue Gu, Shuhong Chen, Ivan Marsic:
Deep Multimodal Learning for Emotion Recognition in Spoken Language. - Max Simchowitz, Horia Mania, Stephen Tu, Michael I. Jordan, Benjamin Recht:
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification. - Xiao Ma, Megan Cackett, Leslie Park, Eric Chien, Mor Naaman:
Web-Based VR Experiments Powered by the Crowd. - Jamie Tucker-Foltz:
A Cut-And-Choose Mechanism to Prevent Gerrymandering. - Phi Vu Tran:
Learning to Make Predictions on Graphs with Autoencoders. - Liu Liu, Shaoshan Liu, Zhe Zhang, Bo Yu, Jie Tang, Yuan Xie:
PIRT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures. - Alaaeldin El-Nouby, Graham W. Taylor:
Real-Time End-to-End Action Detection with Two-Stream Networks. - Di Wu, Xiujun Chen, Xun Yang, Hao Wang, Qing Tan, Xiaoxun Zhang, Kun Gai:
Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising. - Qiang Zhang, Qiangqiang Yuan, Chao Zeng, Xinghua Li, Yancong Wei:
Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network. - Kanru Hua:
Do WaveNets Dream of Acoustic Waves? - Zhenisbek Assylbekov, Rustem Takhanov:
Reusing Weights in Subword-aware Neural Language Models. - Nicolò Michelusi, Matthew S. Nokleby, Urbashi Mitra, A. Robert Calderbank:
Multi-scale Spectrum Sensing in 5G Cognitive Networks. - Sheng-Yeh Chen, Chao-Chun Hsu, Chuan-Chun Kuo, Ting-Hao K. Huang, Lun-Wei Ku:
EmotionLines: An Emotion Corpus of Multi-Party Conversations. - Di Zhuang, J. Morris Chang:
Enhanced PeerHunter: Detecting Peer-to-peer Botnets through Network-Flow Level Community Behavior Analysis. - Shohei Ikeda, Akinori Ihara, Raula Gaikovina Kula, Kenichi Matsumoto:
An Empirical Study on README contents for JavaScript Packages. - Dmitriy Serdyuk, Yongqiang Wang, Christian Fuegen, Anuj Kumar, Baiyang Liu, Yoshua Bengio:
Towards end-to-end spoken language understanding. - Siddharth Bhandari, Jaikumar Radhakrishnan:
Bounds on the Zero-Error List-Decoding Capacity of the q/(q-1) Channel. - Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He:
Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. - Mojtaba Akbari, Majid Mohrekesh, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Adaptive specular reflection detection and inpainting in colonoscopy video frames. - Chen Chen, Daniele Enrico Asoni, Adrian Perrig, David Barrera, George Danezis, Carmela Troncoso:
TARANET: Traffic-Analysis Resistant Anonymity at the NETwork layer. - Yanjun Han, Ayfer Özgür, Tsachy Weissman:
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints. - Joseph A. E. Shaheen:
Challenges of Growing Social Media Networks From the Bottom-Up Through the Agent Perspective. - Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu:
Efficient Neural Audio Synthesis. - Nao Hirokawa, Aart Middeldorp, Christian Sternagel, Sarah Winkler:
Abstract Completion, Formalized. - Sebastian Baltes, Jascha Knack, Daniel Anastasiou, Ralf Tymann, Stephan Diehl:
(No) Influence of Continuous Integration on the Commit Activity in GitHub Projects. - Anais Vergne, Laurent Decreusefond, Philippe Martins:
Building a coverage hole-free communication tree. - Stefano Bistarelli, Alessandra Tappini, Carlo Taticchi:
A Matrix Approach for Weighted Argumentation Frameworks: a Preliminary Report. - Massimo Quadrana, Paolo Cremonesi, Dietmar Jannach:
Sequence-Aware Recommender Systems. - Christoph Benzmüller, Ali Farjami, Xavier Parent:
Faithful Semantical Embedding of a Dyadic Deontic Logic in HOL. - Danial Senejohnny, S. Sundaram, Claudio De Persis, Pietro Tesi:
Resilience against Misbehaving Nodes in Asynchronous Networks. - Lianghai Ji, Andreas Weinand, Bin Han, Hans D. Schotten:
Multi-RATs Support to Improve V2X Communication. - Clarice Poon, Nicolas Keriven, Gabriel Peyré:
A Dual Certificates Analysis of Compressive Off-the-Grid Recovery. - Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus:
AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality reduction. - A. R. Balasubramanian, Nathalie Bertrand, Nicolas Markey:
Parameterized verification of synchronization in constrained reconfigurable broadcast networks. - Valter Balegas, Nuno M. Preguiça, Sérgio Duarte, Carla Ferreira, Rodrigo Rodrigues:
IPA: Invariant-preserving Applications for Weakly-consistent Replicated Databases. - Wlodzislaw Duch:
Coloring black boxes: visualization of neural network decisions. - Johann A. Briffa:
GPU Implementation and Optimization of a Flexible MAP Decoder for Synchronization Correction. - Flavio Corradini, Alberto Polzonetti, Oliviero Riganelli:
Business Rules in e-Government Applications. - Eduard Kamburjan, Tzu-Chun Chen:
Stateful Behavioral Types for ABS. - Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl:
Benchmarking Distributed Stream Processing Engines. - Khadijeh Keshvardoost, Bartek Klin, Slawomir Lasota, Joanna Ochremiak, Szymon Torunczyk:
Definable isomorphism problem. - Hai Ye, Xin Jiang, Zhunchen Luo, Wenhan Chao:
Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions. - Martin Grohe, Gaurav Rattan, Gerhard J. Woeginger:
Graph Similarity and Approximate Isomorphism. - Ilias Diakonikolas, Jerry Li, Ludwig Schmidt:
Fast and Sample Near-Optimal Algorithms for Learning Multidimensional Histograms. - Agostino Martinelli:
Closed-form solution to cooperative visual-inertial structure from motion. - Joel Vidal, Chyi-Yeu Lin, Robert Martí:
6D Pose Estimation using an Improved Method based on Point Pair Features. - Johann A. Briffa, Stephan Wesemeyer:
SimCommSys: Taking the errors out of error-correcting code simulations. - Mark D. McDonnell:
Training wide residual networks for deployment using a single bit for each weight. - Yan Zheng, Jianye Hao, Zongzhang Zhang:
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. - Richard Evans, David Saxton, David Amos, Pushmeet Kohli, Edward Grefenstette:
Can Neural Networks Understand Logical Entailment? - Suttinee Sawadsitang, Rakpong Kaewpuang, Siwei Jiang, Dusit Niyato, Ping Wang:
Optimal Stochastic Delivery Planning in Full-Truckload and Less-Than-Truckload Delivery. - Lifeng Jin, Finale Doshi-Velez, Timothy A. Miller, William Schuler, Lane Schwartz:
Unsupervised Grammar Induction with Depth-bounded PCFG. - Chengyu Zhang, Yichen Yan, Hanru Zhou, Yinbo Yao, Ke Wu, Ting Su, Weikai Miao, Geguang Pu:
SmartUnit: Empirical Evaluations for Automated Unit Testing of Embedded Software in Industry. - Douglas Summers-Stay:
Semantic Vector Spaces for Broadening Consideration of Consequences. - Amit Gurung, Rajarshi Ray:
Simultaneous Solving of Batched Linear Programs on a GPU. - Walter F. Mascarenhas:
Moore: Interval Arithmetic in C++20. - Yuria Utsumi, Kelly Peterson, Ognjen Rudovic, Ricardo Guerrero, Rosalind W. Picard:
Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13). - Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer:
Deep Unsupervised Learning of Visual Similarities. - Andreas Emil Feldmann, Dániel Marx:
The Parameterized Hardness of the k-Center Problem in Transportation Networks. - Ayan Kumar Bhunia, Subham Mukherjee, Aneeshan Sain, Avirup Bhattacharyya, Ankan Kumar Bhunia, Partha Pratim Roy, Umapada Pal:
Indic Handwritten Script Identification using Offline-Online Multimodal Deep Network. - Ante Custic, Stefan Lendl:
On Streaming Algorithms for the Steiner Cycle and Path Cover Problem on Interval Graphs and Falling Platforms in Video Games. - Francesco Belardinelli, Umberto Grandi:
Database Aggregation. - Zuzana Haniková:
Implicit definability of truth constants in Łukasiewicz logic. - André Röhm, Kathy Lüdge:
Reservoir computing with simple oscillators: Virtual and real networks. - Johann A. Briffa, Victor Buttigieg, Stephan Wesemeyer:
Time-Varying Block Codes for Synchronization Errors: MAP Decoder and Practical Issues. - Rik van Noord, Lasha Abzianidze, Hessel Haagsma, Johan Bos:
Evaluating Scoped Meaning Representations. - Akhilesh Jaiswal, Indranil Chakraborty, Amogh Agrawal, Kaushik Roy:
8T SRAM Cell as a Multi-bit Dot Product Engine for Beyond von-Neumann Computing. - Alexander Engelmann, Yuning Jiang, Tillmann Mühlpfordt, Boris Houska, Timm Faulwasser:
Distributed Optimal Power Flow using ALADIN. - José Vuelvas, Fredy Ruiz, Giambattista Gruosso:
Limiting gaming opportunities on incentive-based demand response programs. - Ashu Sharma, Sanjay Kumar Sahay:
An investigation of the classifiers to detect android malicious apps. - Libby Hemphill:
More Specificity, More Attention to Social Context: Reframing How We Address "Bad Actors". - Baoxu Shi, Tim Weninger:
Visualizing the Flow of Discourse with a Concept Ontology. - Rowan Border, Jonathan D. Gammell, Paul Newman:
Surface Edge Explorer (SEE): Planning Next Best Views Directly from 3D Observations. - Zhe Cui, Sriram Karthik Badam, Adil Yalçin, Niklas Elmqvist:
DataSite: Proactive Visual Data Exploration with Computation of Insight-based Recommendations. - Jannik Quehl, Haohao Hu, Sascha Wirges, Martin Lauer:
An Approach to Vehicle Trajectory Prediction Using Automatically Generated Traffic Maps. - Jean-Emmanuel Deschaud:
IMLS-SLAM: scan-to-model matching based on 3D data. - Lu Hou, James T. Kwok:
Loss-aware Weight Quantization of Deep Networks. - Shashi Narayan, Shay B. Cohen, Mirella Lapata:
Ranking Sentences for Extractive Summarization with Reinforcement Learning. - Benedikt Bollig, Marie Fortin, Paul Gastin:
Gossiping in Message-Passing Systems. - Seitaro Shinagawa, Koichiro Yoshino, Sakriani Sakti, Yu Suzuki, Satoshi Nakamura:
Interactive Image Manipulation with Natural Language Instruction Commands. - Sulaiman Vesal, Nishant Ravikumar, Stephan Ellmann, Andreas K. Maier:
Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation. - Angela Wuu:
Homomorphism Extension. - Om Prakash, Habibul Islam:
Skew cyclic codes over F_{p}+uF_{p}+\dots +u^{k-1}F_{p}. - Ilya Grishchenko, Matteo Maffei, Clara Schneidewind:
A Semantic Framework for the Security Analysis of Ethereum smart contracts. - Bernhard Haeupler, Amirbehshad Shahrasbi, Madhu Sudan:
Synchronization Strings: List Decoding for Insertions and Deletions. - L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Nisheeth K. Vishnoi:
An Algorithmic Framework to Control Bias in Bandit-based Personalization. - Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade, Shaz Qadeer, Ashish Kapoor:
Verifying Controllers Against Adversarial Examples with Bayesian Optimization. - Onur Atan, William R. Zame, Mihaela van der Schaar:
Learning Optimal Policies from Observational Data. - Alhussein Fawzi, Hamza Fawzi, Omar Fawzi:
Adversarial vulnerability for any classifier. - Chenhao Tan, Hao Peng, Noah A. Smith:
"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates. - Utsav B. Gewali, Sildomar T. Monteiro, Eli Saber:
Machine learning based hyperspectral image analysis: A survey. - Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
STRIPStream: Integrating Symbolic Planners and Blackbox Samplers. - Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li:
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. - Maciej A. Mazurowski, Mateusz Buda, Ashirbani Saha, Mustafa R. Bashir:
Deep learning in radiology: an overview of the concepts and a survey of the state of the art. - Michel Melo Silva, Washington Luis Souza Ramos, João Pedro Klock Ferreira, Felipe Cadar Chamone, Mario Fernando Montenegro Campos, Erickson Rangel do Nascimento:
A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos. - Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Tien D. Bui:
Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches. - Waleed Alomoush, Ayat Alrosan:
Review: Metaheuristic Search-Based Fuzzy Clustering Algorithms. - Prateesh Goyal, Akshay Narayan, Frank Cangialosi, Deepti Raghavan, Srinivas Narayana, Mohammad Alizadeh, Hari Balakrishnan:
Elasticity Detection: A Building Block for Delay-Sensitive Congestion Control. - Matthew Wiesner, Chunxi Liu, Lucas Ondel, Craig Harman, Vimal Manohar, Jan Trmal, Zhongqiang Huang, Sanjeev Khudanpur, Najim Dehak:
The JHU Speech LOREHLT 2017 System: Cross-Language Transfer for Situation-Frame Detection. - Nicholas V. Lewchenko, Arjun Radhakrishna, Pavol Cerný:
Conflict-Aware Replicated Data Types. - Kshitij Bansal, Eric Koskinen, Omer Tripp:
Automatic Generation of Precise and Useful Commutativity Conditions (Extended Version). - Lili Wang, Ji Liu, A. Stephen Morse, Brian D. O. Anderson, Daniel Fullmer:
A Generalized Discrete-Time Altafini Model. - Amirhossein Jabalameli, Nabil Ettehadi, Aman Behal:
Edge-Based Recognition of Novel Objects for Robotic Grasping. - Akshay Rangesh, Mohan M. Trivedi:
No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs. - Sergey Goncharov, Lutz Schröder:
Guarded Traced Categories. - Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar:
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents. - Alexandru Cojocaru, Léo Colisson, Elham Kashefi, Petros Wallden:
Delegated Pseudo-Secret Random Qubit Generator. - Oliver Schulte, Yejia Liu, Chao Li:
Model Trees for Identifying Exceptional Players in the NHL Draft. - Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec:
GraphRNN: A Deep Generative Model for Graphs. - Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei:
Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks. - Chiranjib Saha, Mehrnaz Afshang, Harpreet S. Dhillon:
Bandwidth Partitioning and Downlink Analysis in mmWave Integrated Access and Backhaul for 5G. - Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi:
Extremely Fast Decision Tree. - Ligang Zhang, Brijesh K. Verma:
Superpixel based Class-Semantic Texton Occurrences for Natural Roadside Vegetation Segmentation. - Dimitrios Sikeridis, Ioannis Papapanagiotou, Michael Devetsikiotis:
BLEBeacon: A Real-Subject Trial Dataset from Mobile Bluetooth Low Energy Beacons. - Ligang Zhang, Brijesh K. Verma, Dian Tjondronegoro, Vinod Chandran:
Facial Expression Analysis under Partial Occlusion: A Survey. - Hanjun Dai, Yingtao Tian, Bo Dai, Steven Skiena, Le Song:
Syntax-Directed Variational Autoencoder for Structured Data. - Yanan Sun, Gary G. Yen, Zhang Yi:
Improved Regularity Model-based EDA for Many-objective Optimization. - Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury:
Spatially Constrained Location Prior for Scene Parsing. - Yanan Sun, Gary G. Yen, Zhang Yi:
IGD Indicator-based Evolutionary Algorithm for Many-objective Optimization Problems. - Qian Huang, Weixin Zhu, Yang Zhao, Linsen Chen, Yao Wang, Tao Yue, Xun Cao:
Multispectral Image Intrinsic Decomposition via Low Rank Constraint. - Svyatoslav Korneev, Nina Narodytska, Luca Pulina, Armando Tacchella, Nikolaj S. Bjørner, Mooly Sagiv:
Constrained Image Generation Using Binarized Neural Networks with Decision Procedures. - Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Super-Resolution. - Boris Aronov, Anirudh Donakonda, Esther Ezra, Rom Pinchasi:
On Pseudo-disk Hypergraphs. - Yujing Ma, Florin Rusu, Martin Torres:
Stochastic Gradient Descent on Highly-Parallel Architectures. - Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, Percy Liang:
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration. - Yanting Hu, Xinbo Gao, Jie Li, Yuanfei Huang, Hanzi Wang:
Single Image Super-Resolution via Cascaded Multi-Scale Cross Network. - Yu-Hung Chang, Liwei Zhang, Xingjian Wang, Shiang-Ting Yeh, Simon Mak, Chih-Li Sung, C. F. Jeff Wu, Vigor Yang:
Kernel-smoothed proper orthogonal decomposition (KSPOD)-based emulation for prediction of spatiotemporally evolving flow dynamics. - Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng:
A Twofold Siamese Network for Real-Time Object Tracking. - P. Veeresh, R. Praveen Sam, Mohammad Riyaz Belgaum:
Optimal QoS Constraint Service Composition in Mobile Ad Hoc Networks. - Chang-Shing Lee, Mei-Hui Wang, Chi-Shiang Wang, Olivier Teytaud, Jialin Liu, Su-Wei Lin, Pi-Hsia Hung:
PSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application. - Kaichun Mo, Haoxiang Li, Zhe Lin, Joon-Young Lee:
The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation. - Muhammad Bilal:
Role of management information system in time saving. - Mai Zhu, Chong Fu:
Convolutional Neural Networks combined with Runge-Kutta Methods. - Gabriele Angeletti, Barbara Caputo, Tatiana Tommasi:
Adaptive Deep Learning through Visual Domain Localization. - Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter:
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari. - Gennaro Notomista, Magnus Egerstedt:
Coverage Control for Wire-Traversing Robots. - Qiang Fang, Tianjiang Hu:
Euler angles based loss function for camera relocalization with Deep learning. - Hanbo Zhang, Xuguang Lan, Xinwen Zhou, Zhiqiang Tian, Nanning Zheng:
Visual Manipulation Relationship Network. - Jürgen Schmidhuber:
One Big Net For Everything. - Swapnil Dhamal:
Effectiveness of Diffusing Information through a Social Network in Multiple Phases. - Hamid Hamraz, Nathan B. Jacobs, Marco A. Contreras, Chase H. Clark:
Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees. - Holger Dell, Martin Grohe, Gaurav Rattan:
Weisfeiler-Leman meets Homomorphisms. - Rui Zhu, Di Niu, Zongpeng Li:
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization. - Rui Zhu, Di Niu, Zongpeng Li:
A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization. - Snehal M. Shekatkar, Sukratu Barve:
Importance of initial conditions in the polarization of complex networks. - Yuqing Kong, Grant Schoenebeck:
Water from Two Rocks: Maximizing the Mutual Information. - Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee:
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. - Oren Mangoubi, Nisheeth K. Vishnoi:
Dimensionally Tight Running Time Bounds for Second-Order Hamiltonian Monte Carlo. - Jacob R. Gardner, Geoff Pleiss, Ruihan Wu, Kilian Q. Weinberger, Andrew Gordon Wilson:
Product Kernel Interpolation for Scalable Gaussian Processes. - Sunrita Poddar, Yasir Q. Mohsin, Deidra Ansah, Bijoy Thattaliyath, Ravi Ashwath, Mathews Jacob:
Free-breathing cardiac MRI using bandlimited manifold modelling. - Omer Katz, Benjamin Livshits:
Toward an Evidence-based Design for Reactive Security Policies and Mechanisms. - Shahrzad Keshavarz, Falk Schellenberg, Bastian Richter, Christof Paar, Daniel E. Holcomb:
SAT-based Reverse Engineering of Gate-Level Schematics using Fault Injection and Probing. - Shahrzad Keshavarz, Daniel E. Holcomb:
Privacy Leakages in Approximate Adders. - Michalis Ramp, Evangelos Papadopoulos:
Geometric Surface-Based Tracking Control of a Quadrotor UAV. - Marcell Vazquez-Chanlatte, Shromona Ghosh, Jyotirmoy V. Deshmukh, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Time Series Learning using Monotonic Logical Properties. - Cecilia S. Lee, Ariel J. Tyring, Yue Wu, Sa Xiao, Ariel S. Rokem, Nicolaas P. Deruyter, Qinqin Zhang, Adnan Tufail, Ruikang K. Wang, Aaron Y. Lee:
Generating retinal flow maps from structural optical coherence tomography with artificial intelligence. - Shiyi Wei, Piotr Mardziel, Andrew Ruef, Jeffrey S. Foster, Michael Hicks:
Evaluating Design Tradeoffs in Numeric Static Analysis for Java. - Bertrand Travacca, Greg Rybka, Kenji Shiraishi:
Market based embedded Real Time Operation for Distributed Resources and Flexibility. - Ryan Szeto, Simon Stent, Germán Ros, Jason J. Corso:
A Dataset To Evaluate The Representations Learned By Video Prediction Models. - Xinye Zheng, Jianbo Ye, Yukun Chen, Stephen Wistar, Jia Li, Jose A. Piedra-Fernández, Michael A. Steinberg, James Z. Wang:
Detecting Comma-shaped Clouds for Severe Weather Forecasting using Shape and Motion. - Tianxiang Gao, Chris Chu:
DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization. - Pengyuan Lyu, Cong Yao, Wenhao Wu, Shuicheng Yan, Xiang Bai:
Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation. - Dushyanta Dhyani:
OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers using Piecewise Convolutional Neural Networks. - Thien-Minh Nguyen, Abdul Hanif Bin Zaini, Chen Wang, Kexin Guo, Lihua Xie:
Robust Target-relative Localization with Ultra-Wideband Ranging and Communication. - Brahim Chaourar:
On the Broadcast Routing Problem in Computer Networks. - Andres Milioto, Cyrill Stachniss:
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs. - Masaki Ogura, Victor M. Preciado, Naoki Masuda:
Optimal Containment of Epidemics over Temporal Activity-Driven Networks. - Jean Barbier, Nicolas Macris, Antoine Maillard, Florent Krzakala:
The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices. - Hamid G. Bafghi, Amin Gohari, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari:
Diffusion Based Molecular Communication with Limited Molecule Production Rate. - Junkun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang:
Meta Multi-Task Learning for Sequence Modeling. - Jinyue Su, Jiacheng Xu, Xipeng Qiu, Xuanjing Huang:
Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method. - Zhiyuan Lin, Tim Althoff, Jure Leskovec:
I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application. - Kun Hu, Zhe Li, Ying Liu, Luyin Cheng, Qi Yang, Yan Li:
A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection. - Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer, Michael D. Ernst:
NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System. - Kalev Alpernas, Cormac Flanagan, Sadjad Fouladi, Leonid Ryzhyk, Mooly Sagiv, Thomas Schmitz, Keith Winstein:
Secure Serverless Computing Using Dynamic Information Flow Control. - Baoyang Song:
Deep Neural Network for Learning to Rank Query-Text Pairs. - (Withdrawn) Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction with Archive.
- Xue Zhang, Laura Toni, Pascal Frossard, Yao Zhao, Chunyu Lin:
Adaptive Streaming in Interactive Multiview Video Systems. - Gabriel Arpino, Kyle Morris, Sasanka Nagavalli, Katia P. Sycara:
Using Information Invariants to Compare Swarm Algorithms and General Multi-Robot Algorithms: A Technical Report. - Batya Kenig:
The Complexity of the Possible Winner Problem over Partitioned Preferences. - Katerina Altmanová, Dusan Knop, Martin Koutecký:
Evaluating and Tuning n-fold Integer Programming. - Min Chen, Kelly P. Gaither, Nigel W. John, Brian C. McCann:
Cost-benefit Analysis of Visualization in Virtual Environments. - Jian Kang, Marco Körner, Yuanyuan Wang, Hannes Taubenböck, Xiao Xiang Zhu:
Building Instance Classification Using Street View Images. - Ioannis Krikidis:
Retrodirective Large Antenna Energy Beamforming in Backscatter Multi-User Networks. - Timo Hinzmann, Thomas Stastny, Cesar Cadena, Roland Siegwart, Igor Gilitschenski:
Free LSD: Prior-Free Visual Landing Site Detection for Autonomous Planes. - Hardik Meisheri, Nagraj Ramrao, Suman Mitra:
Multiclass Common Spatial Pattern for EEG based Brain Computer Interface with Adaptive Learning Classifier. - Anand Kumar Mukhopadhyay, Indrajit Chakrabarti, Arindam Basu, Mrigank Sharad:
Power efficient Spiking Neural Network Classifier based on memristive crossbar network for spike sorting application. - Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal:
Wide Compression: Tensor Ring Nets. - Ahmed Fadhil:
Domain Specific Design Patterns: Designing For Conversational User Interfaces. - Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides:
Seeing Small Faces from Robust Anchor's Perspective. - Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin, Marina Sokolova:
One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data. - Anish Agarwal, Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen:
Time Series Analysis via Matrix Estimation. - Peiyao Guo, Qiu Shen, Zhan Ma, David J. Brady, Yao Wang:
Perceptual Quality Assessment of Immersive Images Considering Peripheral Vision Impact. - Songbai Yan, Kamalika Chaudhuri, Tara Javidi:
Active Learning with Logged Data. - Dimitris Kastaniotis, Ioanna Ntinou, Dimitrios Tsourounis, George Economou, Spiros Fotopoulos:
Attention-Aware Generative Adversarial Networks (ATA-GANs). - Ahmad F. Taha, Mohammadhafez Bazrafshan, Sebastian Nugroho, Nikolaos Gatsis, Junjian Qi:
Robust Control Architectures for Renewable-Integrated Power Networks using Convex Approximations. - Peter R. Florence, John Carter, Jake Ware, Russ Tedrake:
NanoMap: Fast, Uncertainty-Aware Proximity Queries with Lazy Search over Local 3D Data. - Sandipan Choudhuri, Kaustav Basu, Arunabha Sen:
User Satisfaction-Driven Bandwidth Allocation for Image Transmission in a Crowded Environment. - Mohammad Noormohammadpour, Cauligi S. Raghavendra:
Minimizing Flow Completion Times using Adaptive Routing over Inter-Datacenter Wide Area Networks. - Vitchyr Pong, Shixiang Gu, Murtaza Dalal, Sergey Levine:
Temporal Difference Models: Model-Free Deep RL for Model-Based Control. - Alexandre Goy:
Trace semantics via determinization for probabilistic transition systems. - Guoxing Chen, Sanchuan Chen, Yuan Xiao, Yinqian Zhang, Zhiqiang Lin, Ten-Hwang Lai:
SgxPectre Attacks: Leaking Enclave Secrets via Speculative Execution. - Ahmed Roushdy, Abolfazl Seyed Motahari, Mohammed Nafie, Deniz Gündüz:
Cache-Aided Fog Radio Access Networks with Partial Connectivity. - Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, Ehsan Adeli:
Adversarially Learned One-Class Classifier for Novelty Detection. - Yisroel Mirsky, Tomer Doitshman, Yuval Elovici, Asaf Shabtai:
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection. - R. Thomas McCoy, Robert Frank, Tal Linzen:
Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks. - Monodeep Kar, Arvind Singh, Sanu Mathew, Santosh Ghosh, Anand Rajan, Vivek De, Raheem A. Beyah, Saibal Mukhopadhyay:
Blindsight: Blinding EM Side-Channel Leakage using Built-In Fully Integrated Inductive Voltage Regulator. - Ahmed Fadhil:
Can a Chatbot Determine My Diet?: Addressing Challenges of Chatbot Application for Meal Recommendation. - Ning Xie, Shuai Xu, Yekun Xu:
A New Algorithm for Finding Closest Pair of Vectors. - Marko Mitrovic, Moran Feldman, Andreas Krause, Amin Karbasi:
Submodularity on Hypergraphs: From Sets to Sequences. - Gramoz Goranci, Monika Henzinger, Pan Peng:
Dynamic Effective Resistances and Approximate Schur Complement on Separable Graphs. - Sudhir B. Kylasa, Farbod Roosta-Khorasani, Michael W. Mahoney, Ananth Grama:
GPU Accelerated Sub-Sampled Newton\textsf{'}s Method. - Moses Charikar, Yonatan Naamad, Jennifer Rexford, X. Kelvin Zou:
Multi-Commodity Flow with In-Network Processing. - Ruggiero Lovreglio, Vicente A. González, Zhenan Feng, Robert Amor, Michael Spearpoint, Jared Thomas, Margaret Trotter, Rafael Sacks:
Prototyping Virtual Reality Serious Games for Building Earthquake Preparedness: The Auckland City Hospital Case Study. - R. Ryan Williams:
Limits on representing Boolean functions by linear combinations of simple functions: thresholds, ReLUs, and low-degree polynomials. - Nilesh Tripuraneni, Nicolas Flammarion, Francis R. Bach, Michael I. Jordan:
Averaging Stochastic Gradient Descent on Riemannian Manifolds. - Weifeng Ge, Sibei Yang, Yizhou Yu:
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning. - Payam Karisani, Eugene Agichtein:
Did You Really Just Have a Heart Attack? Towards Robust Detection of Personal Health Mentions in Social Media. - Mark Wilfried Mueller:
Multicopter attitude control for recovery from large disturbances. - Takeshi Kurashima, Tim Althoff, Jure Leskovec:
Modeling Interdependent and Periodic Real-World Action Sequences. - Jinglan Liu, Jiaxin Zhang, Yukun Ding, Xiaowei Xu, Meng Jiang, Yiyu Shi:
PBGAN: Partial Binarization of Deconvolution Based Generators. - Yang Liu, Yiling Chen:
Surrogate Scoring Rules and a Dominant Truth Serum for Information Elicitation. - Anusha Mujumdar, Swarup Kumar Mohalik, Ramamurthy Badrinath:
Antifragility for Intelligent Autonomous Systems. - Mahyar Shirvanimoghaddam, Mohammad Sadegh Mohammadi, Rana Abbas, Aleksandar Minja, Balázs Matuz, Guojun Han, Zihuai Lin, Yonghui Li, Sarah Johnson, Branka Vucetic:
Short Block-length Codes for Ultra-Reliable Low-Latency Communications. - Jing Zhong, Roy D. Yates:
Timeliness in Lossless Block Coding. - Valery A. Ugrinovskii:
Resilient Distributed H∞ Estimation via Dynamic Rejection of Biasing Attacks. - Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama:
Millionaire: A Hint-guided Approach for Crowdsourcing. - Zizhao Zhang, Yuanpu Xie, Lin Yang:
Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network. - Tomer Kaftan, Magdalena Balazinska, Alvin Cheung, Johannes Gehrke:
Cuttlefish: A Lightweight Primitive for Adaptive Query Processing. - Rob van Glabbeek:
On the Validity of Encodings of the Synchronous in the Asynchronous π-calculus. - (Withdrawn) Variance Reduction Methods for Sublinear Reinforcement Learning.
- XingYu Fu, ZiYi Yang, XiuWen Duan:
Language Distribution Prediction based on Batch Markov Monte Carlo Simulation with Migration. - Mengxiao Bi, Heng Lu, Shiliang Zhang, Ming Lei, Zhijie Yan:
Deep Feed-forward Sequential Memory Networks for Speech Synthesis. - Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci:
Solving k-center Clustering (with Outliers) in MapReduce and Streaming, almost as Accurately as Sequentially. - Stig Bosmans, Siegfried Mercelis, Peter Hellinckx, Joachim Denil:
Towards evaluating emergent behavior of the Internet of Things using large scale simulation techniques. - Luis Martinez-Uribe:
Digital Archives as Big Data. - Nikolaus von Bomhard, Bernd Ahlborn, Catherine Mason, Ulrich Mansmann:
The Trusted Server: Concept and reference implementation of a fully autonomous and trustworthy computational server providing an advanced level of Privacy by Design through machine-based trust. - Noa Avigdor-Elgrabli, Alex Libov, Michael Viderman, Ran Wolff:
Interpreting Complex Regression Models. - Ugur Kart, Joni-Kristian Kämäräinen, Jiri Matas, Lixin Fan, Francesco Cricri:
Depth Masked Discriminative Correlation Filter. - Diogo C. Luvizon, David Picard, Hedi Tabia:
2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning. - Mohammed Jabreel, Antonio Moreno:
EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets. - Martin Becker, Ravindra Metta, R. Venkatesh, Samarjit Chakraborty:
Scalable and Precise Estimation and Debugging of the Worst-Case Execution Time for Analysis-Friendly Processors. - Zhe Lin, Minghui Ma:
Finite Model Property of Pretransitive Modal Logic. - Giovanni Stabile, Hermann G. Matthies, Claudio Borri:
A novel reduced order model for vortex induced vibrations of long flexible cylinders. - Dominik Schlegel, Giorgio Grisetti:
HBST: A Hamming Distance embedding Binary Search Tree for Visual Place Recognition. - Fabian Eckermann, Philipp Gorczak, Christian Wietfeld:
tinyLTE: Lightweight, Ad-Hoc Deployable Cellular Network for Vehicular Communication. - Shaull Almagor, Dmitry Chistikov, Joël Ouaknine, James Worrell:
O-Minimal Invariants for Linear Loops. - Kurtulus Gemici, Elias Koutsoupias, Barnabé Monnot, Christos H. Papadimitriou, Georgios Piliouras:
Wealth Inequality and the Price of Anarchy. - Mostafa Elaraby, Ahmed Y. Tawfik, Mahmoud Khaled, Hany Hassan, Aly Osama:
Gender Aware Spoken Language Translation Applied to English-Arabic. - Parv Parkhiya, Rishabh Khawad, J. Krishna Murthy, Brojeshwar Bhowmick, K. Madhava Krishna:
Constructing Category-Specific Models for Monocular Object-SLAM. - Sherzod Hakimov, Soufian Jebbara, Philipp Cimiano:
AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data. - Sarthak Sharma, Junaid Ahmed Ansari, J. Krishna Murthy, K. Madhava Krishna:
Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking. - Ya-Ping Hsieh, Volkan Cevher:
Dimension-free Information Concentration via Exp-Concavity. - Ganzhao Yuan, Li Shen, Wei-Shi Zheng:
A Decomposition Algorithm for Sparse Generalized Eigenvalue Problem. - Konrad Hinsen:
Digital Scientific Notations as a Human-Computer Interface in Computer-Aided Research. - Tianyu Pang, Chao Du, Jun Zhu:
Max-Mahalanobis Linear Discriminant Analysis Networks. - Eric Sanchis:
A Model of Free Will for Artificial Entities. - Malte Milatz:
Random Walks on Polytopes of Constant Corank. - Hanzhou Wu, Wei Wang, Jing Dong, Hongxia Wang, Lizhi Xiong:
The Cut and Dominating Set Problem in A Steganographer Network. - Paul Waddell, Geoff Boeing, Max Gardner, Emily Porter:
An Integrated Pipeline Architecture for Modeling Urban Land Use, Travel Demand, and Traffic Assignment. - Thales S. Lima, Henrique Ferraz de Arruda, Filipi Nascimento Silva, Cesar H. Comin, Diego R. Amancio, Luciano da F. Costa:
The Dynamics of Knowledge Acquisition via Self-Learning in Complex Networks. - Monica Ekal, Rodrigo Ventura:
An Energy Balance Based Method for Parameter Identification of a Free-Flying Robot Grasping An Unknown Object. - Mohammad Khalil:
Learning Analytics in Massive Open Online Courses. - Jinsong Wu, Song Guo, Huawei Huang, William Liu, Yong Xiang:
Information and Communications Technologies for Sustainable Development Goals: State-of-the-Art, Needs and Perspectives. - Risky Armansyah, Dian Pratiwi:
Game of the Cursed Prince based on Android. - Elad Yom-Tov:
Clinically verified pre-screening for cancer using web search queries: Initial results. - Johannes Pillmann, Christian Wietfeld, Adrian Zarcula, Thomas Raugust, Daniel Calvo Alonso:
Novel Common Vehicle Information Model (CVIM) for Future Automotive Vehicle Big Data Marketplaces. - Jie Tang, Shaoshan Liu, Songwen Pei, Stéphane Zuckerman, Chen Liu, Weisong Shi, Jean-Luc Gaudiot:
Teaching Autonomous Driving Using a Modular and Integrated Approach. - Hadi Kazemi, Hossein Nourkhiz Mahjoub, Amin Tahmasbi-Sarvestani, Yaser P. Fallah:
A Learning-based Stochastic MPC Design for Cooperative Adaptive Cruise Control to Handle Interfering Vehicles. - Egemen Turkyilmaz, Alper Akgul, Erkan Bostanci, Mehmet Serdar Güzel:
Detection of Light Sleep Periods Using an Accelerometer Based Alarm System. - Tom Bloemers, Ioannis Proimadis, Yanin Kasemsinsup, Roland Tóth:
Feedforward Control of Magnetically Levitated Planar Actuators. - Johannes Bjerva, Isabelle Augenstein:
From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings. - Erich Grädel, Martin Grohe, Benedikt Pago, Wied Pakusa:
A Finite-Model-Theoretic View on Propositional Proof Complexity. - Hatem A. Rashwan, Sylvie Chambon, Pierre Gurdjos, Géraldine Morin, Vincent Charvillat:
Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object. - Qian Ma, Lin Gao, Ya-Feng Liu, Jianwei Huang:
Technical Report for "Incentivizing Wi-Fi Network Crowdsourcing: A Contract Theoretic Approach". - Henry Edison, Nina M. Smørsgård, Xiaofeng Wang, Pekka Abrahamsson:
Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors. - Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini:
Improving Graph Convolutional Networks with Non-Parametric Activation Functions. - Mohammadreza Rezvan, Saeedeh Shekarpour, Lakshika Balasuriya, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth:
Publishing a Quality Context-aware Annotated Corpus and Lexicon for Harassment Research. - Jonathan Lorraine, David Duvenaud:
Stochastic Hyperparameter Optimization through Hypernetworks. - Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas K. Maier:
Classification of breast cancer histology images using transfer learning. - Mayank Chaudhari, Aakash Nelson Mattukoyya:
Tone Biased MMR Text Summarization. - Pedro Piacenza, Sydney Sherman, Matei T. Ciocarlie:
Data-driven Super-resolution on a Tactile Dome. - Valentina Gliozzi, Kim Plunkett:
Self-organizing maps and generalization: an algorithmic description of Numerosity and Variability Effects. - Xin Zhao, Philipp Haller:
Observable atomic consistency for CvRDTs. - Matthias Plappert, Marcin Andrychowicz, Alex Ray, Bob McGrew, Bowen Baker, Glenn Powell, Jonas Schneider, Josh Tobin, Maciek Chociej, Peter Welinder, Vikash Kumar, Wojciech Zaremba:
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research. - Dominik Wojtczak:
On Strong NP-Completeness of Rational Problems. - Scott Fujimoto, Herke van Hoof, David Meger:
Addressing Function Approximation Error in Actor-Critic Methods. - Harald Bögeholz, Michael Brand, Radu-Alexandru Todor:
In-database connected component analysis. - (Withdrawn) Tornado: A Practical And Efficient Heterogeneous Programming Framework For Managed Languages.
- Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Adaptive Geospatial Joins for Modern Hardware. - Ashish Ranjan Hota, Shreyas Sundaram:
Controlling Human Utilization of Failure-Prone Systems via Taxes. - Jake Zhao, Kyunghyun Cho:
Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples. - Ahmad Biniaz, Prosenjit Bose, Paz Carmi, Anil Maheshwari, J. Ian Munro, Michiel H. M. Smid:
Faster Algorithms for some Optimization Problems on Collinear Points. - Haim Kaplan, Shay Solomon:
Representations of Sparse Distributed Networks: A Locality-Sensitive Approach. - Kostya Serebryany, Evgenii Stepanov, Aleksey Shlyapnikov, Vlad Tsyrklevich, Dmitry Vyukov:
Memory Tagging and how it improves C/C++ memory safety. - Muhammad Saleem, Hugo Valle, Stephen Brown, Veronica Winters, Akhtar Mahmood:
The Hiperwall Visualization Platform for Big Data Research. - Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess:
Reinforcement and Imitation Learning for Diverse Visuomotor Skills. - Mudasir Ahmad Wani, Nancy Agarwal, Suraiya Jabin, Syed Zeeshan Hussain:
Design and Implementation of iMacros-based Data Crawler for Behavioral Analysis of Facebook Users. - Rayson Laroca, Evair Severo, Luiz A. Zanlorensi, Luiz S. Oliveira, Gabriel Resende Gonçalves, William Robson Schwartz, David Menotti:
A Robust Real-Time Automatic License Plate Recognition based on the YOLO Detector. - Vineet Gupta, Tomer Koren, Yoram Singer:
Shampoo: Preconditioned Stochastic Tensor Optimization. - David Kügler, Andrei Stefanov, Anirban Mukhopadhyay:
i3PosNet: Instrument Pose Estimation from X-Ray. - Gintare Karolina Dziugaite, Daniel M. Roy:
Data-dependent PAC-Bayes priors via differential privacy. - Salvatore D'Oro, Alessio Zappone, Sergio Palazzo, Marco Lops:
A Learning Approach for Low-Complexity Optimization of Energy Efficiency in Multi-Carrier Wireless Networks. - Nasrin Mazaheri Soudani, Ali Karami:
All nearest neighbor calculation based on Delaunay graphs. - Manish Raghavan, Ashton Anderson, Jon M. Kleinberg:
Mapping the Invocation Structure of Online Political Interaction. - Sam Staton, Dario Stein, Hongseok Yang, Nathanael L. Ackerman, Cameron E. Freer, Daniel M. Roy:
The Beta-Bernoulli process and algebraic effects. - Ruslan Shaydulin, Ilya Safro:
Aggregative Coarsening for Multilevel Hypergraph Partitioning. - Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy:
MILE: A Multi-Level Framework for Scalable Graph Embedding. - Varsha Chauhan, Alexander Gutfraind, Ilya Safro:
Multiscale Planar Graph Generation. - Dariusz Dereniowski, Adam Stanski:
On tradeoffs between width- and fill-like graph parameters. - Biao Zhao, Shigang Yue:
A Resilient Image Matching Method with an Affine Invariant Feature Detector and Descriptor. - Hasan Eftun Orhon:
Model-Based Identification and Control of a One-Legged Hopping Robot. - Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus:
Modeling Others using Oneself in Multi-Agent Reinforcement Learning. - Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis:
Optimizing over a Restricted Policy Class in Markov Decision Processes. - Jiangjun Tang, Eleni Petraki, Hussein A. Abbass:
Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-based Swarm Intelligence Model. - Aritra Mitra, Shreyas Sundaram:
Resilient Distributed State Estimation for LTI Systems. - Mahmood Sharif, Lujo Bauer, Michael K. Reiter:
On the Suitability of Lp-norms for Creating and Preventing Adversarial Examples. - James Usevitch, Dimitra Panagou:
Resilient Leader-Follower Consensus to Arbitrary Reference Values. - Zizhao Zhang, Lin Yang, Yefeng Zheng:
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network. - Dipankar Maity, John S. Baras:
Event-Triggered Controller Synthesis for Dynamical Systems with Temporal Logic Constraints. - Daisuke Ogawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda:
Semantic segmentation of trajectories with agent models. - George Leu, Hussein A. Abbass:
Computational Red Teaming in a Sudoku Solving Context: Neural Network Based Skill Representation and Acquisition. - Biao Jia, Zherong Pan, Zhe Hu, Jia Pan, Dinesh Manocha:
Cloth Manipulation Using Random Forest-Based Controller Parametrization. - Xuefei Zhe, Shifeng Chen, Hong Yan:
Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval. - Jeremy Kun, Michael P. O'Brien, Blair D. Sullivan:
Treedepth Bounds in Linear Colorings. - George Leu, Hussein A. Abbass:
A Multi-Disciplinary Review of Knowledge Acquisition Methods: From Human to Autonomous Eliciting Agents. - Shaobo Fang, Zeman Shao, Runyu Mao, Chichen Fu, Deborah A. Kerr, Carol J. Boushey, Edward J. Delp, Fengqing Zhu:
Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks. - Rafael M. Frongillo, Nishant A. Mehta, Tom Morgan, Bo Waggoner:
Multi-Observation Regression. - Mario Di Ferdinando, Pierdomenico Pepe:
On Euler Emulation of Observer-Based Stabilizers for Nonlinear Time-Delay Systems. - Khavee Agustus Botangen, Shahper Vodanovich, Jian Yu:
Preservation of Indigenous Culture among Indigenous Migrants through Social Media: the Igorot Peoples. - Saksham Chand, Yanhong A. Liu:
Simpler Specifications and Easier Proofs of Distributed Algorithms Using History Variables. - Muhan Zhang, Yixin Chen:
Link Prediction Based on Graph Neural Networks. - Mingwen Dong:
Convolutional Neural Network Achieves Human-level Accuracy in Music Genre Classification. - Zhi Xu, Chengtao Li, Stefanie Jegelka:
Robust GANs against Dishonest Adversaries. - (Withdrawn) Boosting Cooperative Coevolution for Large Scale Optimization with a Fine-Grained Computation Resource Allocation Strategy.
- Fan Yang, ShiNing Li, Zhe Yang, Tao Gu, Cheng Qian:
Enabling Multiple Access for Non-Line-of-Sight Light-to-Camera Communications. - Sepehr Assadi, Krzysztof Onak, Baruch Schieber, Shay Solomon:
Fully Dynamic Maximal Independent Set with Sublinear Update Time. - Feiyun Zhu, Jun Guo, Ruoyu Li, Junzhou Huang:
Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions. - Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu:
Recurrent Residual Module for Fast Inference in Videos. - Farhad Zafari, Irene Moser, Tim Baarslag:
Modelling and Analysis of Temporal Preference Drifts Using A Component-Based Factorised Latent Approach. - Thong Hoang, Richard Jayadi Oentaryo, Tien-Duy B. Le, David Lo:
Network-Clustered Multi-Modal Bug Localization. - Yang Yang, Zongtao Liu, Chenhao Tan, Fei Wu, Yueting Zhuang, Yafeng Li:
To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period. - Bob Coecke, Aleks Kissinger:
Proceedings 14th International Conference on Quantum Physics and Logic, QPL 2017, Nijmegen, The Netherlands, 3-7 July 2017. EPTCS 266, 2018 [contents] - Xin Li, Mooi Choo Chuah:
ReHAR: Robust and Efficient Human Activity Recognition. - Zhigang Ren, Bei Pang, Yongsheng Liang, An Chen, Yipeng Zhang:
Surrogate Model Assisted Cooperative Coevolution for Large Scale Optimization. - Stephen Mussmann, Percy Liang:
Generalized Binary Search For Split-Neighborly Problems. - Rana Ali Amjad, Bernhard C. Geiger:
How (Not) To Train Your Neural Network Using the Information Bottleneck Principle. - Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini:
On multi-step prediction models for receding horizon control. - Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Yuan Xie, Luping Shi:
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. - Martin Avanzini, Ugo Dal Lago, Akihisa Yamada:
On Probabilistic Term Rewriting. - Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang:
Mixed Supervised Object Detection with Robust Objectness Transfer. - Alejandro Aguirre, Gilles Barthe, Lars Birkedal, Ales Bizjak, Marco Gaboardi, Deepak Garg:
Relational Reasoning for Markov Chains in a Probabilistic Guarded Lambda Calculus. - Li Wang, Chaochao Chen, Jun Zhou, Xiaolong Li:
Time-sensitive Customer Churn Prediction based on PU Learning. - Davide Bacciu, Paulo J. G. Lisboa, José D. Martín, Ruxandra Stoean, Alfredo Vellido:
Bioinformatics and Medicine in the Era of Deep Learning. - Fredrik Bagge Carlson, Anders Robertsson, Rolf Johansson:
Identification of LTV Dynamical Models with Smooth or Discontinuous Time Evolution by means of Convex Optimization. - Giulia Cervia, Laura Luzzi, Maël Le Treust, Matthieu R. Bloch:
Polar codes for empirical coordination over noisy channels with strictly causal encoding. - Wojciech Nadara, Marcin Pilipczuk, Roman Rabinovich, Felix Reidl, Sebastian Siebertz:
Empirical Evaluation of Approximation Algorithms for Generalized Graph Coloring and Uniform Quasi-Wideness. - Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon:
Matching Convolutional Neural Networks without Priors about Data. - Marian-Andrei Rizoiu, Timothy Graham, Rui Zhang, Yifei Zhang, Robert Ackland, Lexing Xie:
#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st U.S. Presidential Debate. - Steven Carr, Nils Jansen, Ralf Wimmer, Jie Fu, Ufuk Topcu:
Human-in-the-Loop Synthesis for Partially Observable Markov Decision Processes. - Muhammad Shahbaz, Lalith Suresh, Nick Feamster, Jen Rexford, Ori Rottenstreich, Mukesh Hira:
Elmo: Source-Routed Multicast for Cloud Services. - Armand Zampieri, Guillaume Charpiat, Yuliya Tarabalka:
Coarse to fine non-rigid registration: a chain of scale-specific neural networks for multimodal image alignment with application to remote sensing. - Italo Atzeni, David Gesbert:
Cooperative MIMO Precoding with Distributed CSI: A Hierarchical Approach. - Reza Ghaffari, Roger A. Sauer:
A new efficient hyperelastic finite element model for graphene and its application to carbon nanotubes and nanocones. - Ishai Kones, Asaf Levin:
A unified framework for designing EPTAS's for load balancing on parallel machines. - Katherine E. Fitch:
Metric preserving directed graph symmetrization. - Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Jian Yang:
Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition. - Melanie Ducoffe, Frédéric Precioso:
Adversarial Active Learning for Deep Networks: a Margin Based Approach. - Danial Dervovic, Avinash Mocherla, Simone Severini:
Constructing graphs with limited resources. - Kyriakos Georgiou, Craig Blackmore, Samuel Xavier de Souza, Kerstin Eder:
Less is More: Exploiting the Standard Compiler Optimization Levels for Better Performance and Energy Consumption. - Akshat Dave, Anil Kumar Vadathya, Ramana Subramanyam, Rahul Baburajan, Kaushik Mitra:
Solving Inverse Computational Imaging Problems using Deep Pixel-level Prior. - Chen Yang, Haohong Wang:
CCP: Conflicts Check Protocol for Bitcoin Block Security. - Emmanuelle Anceaume, Antonella Del Pozzo, Romaric Ludinard, Maria Potop-Butucaru, Sara Tucci Piergiovanni:
Blockchain Abstract Data Type. - Ganzhao Yuan, Bernard Ghanem:
𝓁0TV: A Sparse Optimization Method for Impulse Noise Image Restoration. - Ingo Müller, Andrea Arteaga, Torsten Hoefler, Gustavo Alonso:
Reproducible Floating-Point Aggregation in RDBMSs. - Avinesh P. V. S., Maxime Peyrard, Christian M. Meyer:
Live Blog Corpus for Summarization. - Di Tang, XiaoFeng Wang, Kehuan Zhang:
Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints. - Quentin Debard, Christian Wolf, Stéphane Canu, Julien Arné:
Learning to recognize touch gestures: recurrent vs. convolutional features and dynamic sampling. - Amirsina Torfi, Rouzbeh A. Shirvani:
Attention-Based Guided Structured Sparsity of Deep Neural Networks. - Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
Ab initio Algorithmic Causal Deconvolution of Intertwined Programs and Networks by Generative Mechanism. - Nicolas Keriven, Rémi Gribonval:
Instance Optimal Decoding and the Restricted Isometry Property. - Isabelle Augenstein, Sebastian Ruder, Anders Søgaard:
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces. - M. Andrecut:
High-Dimensional Vector Semantics. - Zhaobin Mo, Sisi Li, Diange Yang, Ding Zhao:
Extracting V2V Encountering Scenarios from Naturalistic Driving Database. - Minjia Shi, Liqin Qian, Patrick Solé:
Linear codes with few weights over F2+uF2. - Dongkun Han, Lixing Huang, Dimitra Panagou:
Approximating the Region of Multi-Task Coordination via the Optimal Lyapunov-Like Barrier Function. - J. Gerard Wolff:
Introduction to the SP theory of intelligence. - Fanhua Shang, Kaiwen Zhou, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao:
VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. - Tal Ben-Nun, Torsten Hoefler:
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis. - Jaimie Murdock, Colin Allen, Simon DeDeo:
The Development of Darwin's Origin of Species. - Anastasia Mavridou, Aron Laszka:
Tool Demonstration: FSolidM for Designing Secure Ethereum Smart Contracts. - George Christodoulou, Martin Gairing, Yiannis Giannakopoulos, Paul G. Spirakis:
The Price of Stability of Weighted Congestion Games. - Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos:
Convolutional Neural Networks for Toxic Comment Classification. - Jing Peng, Anna Feldman, Ekaterina Vylomova:
Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions. - Chieh-Teng Chang, Chi-Chia Huang, Jane Yung-jen Hsu:
A Hybrid Word-Character Model for Abstractive Summarization. - Tom F. H. Runia, Cees G. M. Snoek, Arnold W. M. Smeulders:
Real-World Repetition Estimation by Div, Grad and Curl. - Dayan Guan, Yanpeng Cao, Jun Liang, Yanlong Cao, Michael Ying Yang:
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection. - Samuel Scheidegger, Joachim Benjaminsson, Emil Rosenberg, Amrit Krishnan, Karl Granström:
Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering. - Nadime Francis, Alastair Green, Paolo Guagliardo, Leonid Libkin, Tobias Lindaaker, Victor Marsault, Stefan Plantikow, Mats Rydberg, Martin Schuster, Petra Selmer, Andrés Taylor:
Formal Semantics of the Language Cypher. - Xinyu Gong, Haozhi Huang, Lin Ma, Fumin Shen, Wei Liu, Tong Zhang:
Neural Stereoscopic Image Style Transfer. - Edward J. Smith, Scott Fujimoto, David Meger:
3D Object Super-Resolution. - Saman Bashbaghi, Eric Granger, Robert Sabourin, Mostafa Parchami:
Deep Learning Architectures for Face Recognition in Video Surveillance. - Mareike Dressler, Adam Kurpisz, Timo de Wolff:
Optimization over the Boolean Hypercube via Sums of Nonnegative Circuit Polynomials. - Yunzheng Tao, Changsheng You, Ping Zhang, Kaibin Huang:
Stochastic Control of Computation Offloading to a Helper with a Dynamically Loaded CPU. - Hee Seok Lee, Kang Kim:
Simultaneous Traffic Sign Detection and Boundary Estimation using Convolutional Neural Network. - Peter Larsson, Lars K. Rasmussen, Mikael Skoglund:
Golden Angle Modulation: Approaching the AWGN Capacity. - Simone Gaiarin, Auro Michele Perego, Edson Porto da Silva, Francesco Da Ros, Darko Zibar:
Dual polarization nonlinear Fourier transform-based optical communication system. - George Tucker, Surya Bhupatiraju, Shixiang Gu, Richard E. Turner, Zoubin Ghahramani, Sergey Levine:
The Mirage of Action-Dependent Baselines in Reinforcement Learning. - Christoph Wick, Christian Reul, Frank Puppe:
Improving OCR Accuracy on Early Printed Books using Deep Convolutional Networks. - Tovohery Randrianarisoa:
Coding Theory using Linear Complexity of Finite Sequences. - Puyang Wang, Vishal M. Patel:
Generating High Quality Visible Images from SAR Images Using CNNs. - Christian Reul, Uwe Springmann, Christoph Wick, Frank Puppe:
Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning. - Matthias Bentert, André Nichterlein:
Parameterized Complexity of Diameter. - Bo Wu, Hai Lin:
Privacy Preserving Controller Synthesis via Belief Abstraction. - Lisa A. Chalaguine, Emmanuel Hadoux, Fiona Hamilton, Andrew Hayward, Anthony Hunter, Sylwia Polberg, Henry W. W. Potts:
Domain Modelling in Computational Persuasion for Behaviour Change in Healthcare. - C. K. Sajil, Biji C. L., Achuthsankar S. Nair:
Effect of Transducer Positioning in Active Noise Control. - Yuhong Li, Xiaofan Zhang, Deming Chen:
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes. - Abdelrahman M. Ibrahim, Ahmed A. Zewail, Aylin Yener:
On Coded Caching with Heterogeneous Distortion Requirements. - Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal:
A Differential Privacy Mechanism Design Under Matrix-Valued Query. - Sunil Mohan, Nicolas Fiorini, Sun Kim, Zhiyong Lu:
A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval. - George Leu, Jiangjun Tang, Hussein A. Abbass:
On the role of working memory in trading-off skills and situation awareness in Sudoku. - Jinshuo Liu, Chenghao Mou, Donghong Ji:
Discovering Key Nodes in a Temporal Social Network. - Daolin Ma, Alberto Rodriguez:
Friction Variability in Auto-collected Dataset of Planar Pushing Experiments and Anisotropic Friction. - Cong Xie, Oluwasanmi Koyejo, Indranil Gupta:
Generalized Byzantine-tolerant SGD. - Cristhy Jiménez, Héctor Allende-Cid, Ismael Figueroa:
PROMETHEUS: PROcedural METhodology for developing HEuristics of USability. - Steffen Wiewel, Moritz Becher, Nils Thuerey:
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow. - Nazim Faour:
Transparent Voting Platform Based on Permissioned Blockchain. - Royi Ronen, Marian Radu, Corina Feuerstein, Elad Yom-Tov, Mansour Ahmadi:
Microsoft Malware Classification Challenge. - Aakash Sinha, Abhishek Yadav, Akshay Gahlot:
Extractive Text Summarization using Neural Networks. - Sayyed Jaffar Ali Raza, Nitish A. Gupta, Nisarg Chitaliya, Gita Reese Sukthankar:
Real-World Modeling of a Pathfinding Robot Using Robot Operating System (ROS). - Chinmaya Samal, Liyuan Zheng, Fangzhou Sun, Lillian J. Ratliff, Abhishek Dubey:
Towards a Socially Optimal Multi-Modal Routing Platform. - Thomas Scheidsteger, Robin Haunschild, Sven E. Hug, Lutz Bornmann:
The concordance of field-normalized scores based on Web of Science and Microsoft Academic data: A case study in computer sciences. - Takahiro Miki, Marija Popovic, Abel Gawel, Gregory Hitz, Roland Siegwart:
Multi-agent Time-based Decision-making for the Search and Action Problem. - Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron C. Courville:
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data. - Jianhua Li, Siyuan Dong, Edward H. Adelson:
Slip Detection with Combined Tactile and Visual Information. - Jorge Eduardo Useche, Rafael Germán Hurtado, Federico Demmer:
Interplay between musical practices and tuning in the marimba de chonta music. - Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin:
Predicting Transportation Modes of GPS Trajectories using Feature Engineering and Noise Removal. - Hamza Anwar, Quanyan Zhu:
ADMM-based Networked Stochastic Variational Inference. - Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu:
Tell Me Where to Look: Guided Attention Inference Network. - Ya-Ping Hsieh, Volkan Cevher:
Mirrored Langevin Dynamics. - Christopher Purcell, M. Puck Rombach:
Role colouring graphs in hereditary classes. - A. Besir Kurtulmus, Kenny Daniel:
Trustless Machine Learning Contracts; Evaluating and Exchanging Machine Learning Models on the Ethereum Blockchain. - Loukas Georgiadis, Giuseppe F. Italiano, Nikos Parotsidis:
Incremental Strong Connectivity and 2-Connectivity in Directed Graphs. - Rachel Schlossman, Gray C. Thomas, Luis Sentis:
Exploiting the Natural Dynamics of Series Elastic Robots by Actuator-Centered Sequential Linear Programming. - Kaiming Shen, Wei Yu:
Fractional Programming for Communication Systems-Part I: Power Control and Beamforming. - Kaiming Shen, Wei Yu:
Fractional Programming for Communication Systems-Part II: Uplink Scheduling via Matching. - Philipp Bamberger, Fabian Kuhn, Yannic Maus:
Local Distributed Algorithms in Highly Dynamic Networks. - Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis:
Brain Tumor Type Classification via Capsule Networks. - Jiangjun Tang, Hussein A. Abbass:
Behavioral Learning of Aircraft Landing Sequencing Using a Society of Probabilistic Finite State Machines. - Atefeh Shahroudnejad, Arash Mohammadi, Konstantinos N. Plataniotis:
Improved Explainability of Capsule Networks: Relevance Path by Agreement. - Jiangjun Tang, George Leu, Hussein A. Abbass:
Networking the Boids is More Robust Against Adversarial Learning. - Sisi Li, Wenshuo Wang, Zhaobin Mo, Ding Zhao:
Clustering of Naturalistic Driving Encounters Using Unsupervised Learning. - Sanjit Bhat, David Lu, Albert Kwon, Srinivas Devadas:
Var-CNN and DynaFlow: Improved Attacks and Defenses for Website Fingerprinting. - Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Thomas L. Griffiths, Alexei A. Efros:
Investigating Human Priors for Playing Video Games. - Yi Yang, Ozan Irsoy, Kazi Shefaet Rahman:
Collective Entity Disambiguation with Structured Gradient Tree Boosting. - Edmon Begoli, Jesús Camacho-Rodríguez, Julian Hyde, Michael J. Mior, Daniel Lemire:
Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources. - Ali Moin, Andy Zhou, Abbas Rahimi, Simone Benatti, Alisha Menon, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan, Fred L. Burghardt, Luca Benini, Ana C. Arias, Jan M. Rabaey:
An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier. - Benjamin Shickel, Tyler J. Loftus, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Azra Bihorac, Parisa Rashidi:
DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning. - Wenshan Wang, Su Yang, Weishan Zhang, Jiulong Zhang:
Neural Aesthetic Image Reviewer. - Lichao Mou, Xiao Xiang Zhu:
IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network. - Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko:
Joint Event Detection and Description in Continuous Video Streams. - Ke Sun, Zhangyang Wang, Dong Liu, Runsheng Liu:
Lp-Norm Constrained Coding With Frank-Wolfe Network. - Hessam Pirzadeh, A. Lee Swindlehurst:
Spectral Efficiency of Mixed-ADC Massive MIMO. - Deirdre Quillen, Eric Jang, Ofir Nachum, Chelsea Finn, Julian Ibarz, Sergey Levine:
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods. - Mirza Golam Kibria, Kien Nguyen, Gabriel Porto Villardi, Kentaro Ishizu, Fumihide Kojima:
Next Generation New Radio Small Cell Enhancement: Architectural Options, Functionality and Performance Aspects. - David Isele, Akansel Cosgun:
Selective Experience Replay for Lifelong Learning. - Jongmin Jeong, Tae Sung Yoon, Jin Bae Park:
Multimodal Sensor-Based Semantic 3D Mapping for a Large-Scale Environment. - Yuehaw Khoo, Jianfeng Lu, Lexing Ying:
Solving for high dimensional committor functions using artificial neural networks. - Chen Wang, Xu Fang, Thien-Minh Nguyen, Lihua Xie:
Graph Optimization Approach to Localization with IMU and Ultra-Wideband Measurements. - Xiao Zhang, Ji Wu, Zhiyang He, Xien Liu, Ying Su:
Medical Exam Question Answering with Large-scale Reading Comprehension. - Xuhao Chen:
Escort: Efficient Sparse Convolutional Neural Networks on GPUs. - Dong Cheng, Kit Ian Kou:
Multichannel Interpolation for Periodic Signals via FFT, Error Analysis and Image Scaling. - Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi:
Brief Announcement: Semi-MapReduce Meets Congested Clique. - Vsevolod I. Avrutskiy:
Avoiding overfitting of multilayer perceptrons by training derivatives. - Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das, H. V. Jagadish:
RRR: Rank-Regret Representative. - Giorgio Lucarelli, Benjamin Moseley, Kim Thang Nguyen, Abhinav Srivastav, Denis Trystram:
Online Non-preemptive Scheduling on Unrelated Machines with Rejections. - Guoxiong Xu, Zhengfei Wang, Hongshi Huang, Wenxin Li, Can Liu, Shilei Liu:
A Model for Medical Diagnosis Based on Plantar Pressure. - Xianghao Yu, Jun Zhang, Khaled Ben Letaief:
A Hardware-Efficient Analog Network Structure for Hybrid Precoding in Millimeter Wave Systems. - Tatsunori Taniai, Takanori Maehara:
Neural Photometric Stereo Reconstruction for General Reflectance Surfaces. - Oliver De Candido, Hela Jedda, Amine Mezghani, A. Lee Swindlehurst, Josef A. Nossek:
Reconsidering Linear Transmit Signal Processing in 1-Bit Quantized Multi-User MISO Systems. - Berit Grußien:
Capturing Logarithmic Space and Polynomial Time on Chordal Claw-Free Graphs. - Khaled Q. Abdelfadeel, Victor Cionca, Dirk Pesch:
Fair Adaptive Data Rate Allocation and Power Control in LoRaWAN. - Victor Magron, Mohab Safey El Din:
On Exact Polya and Putinar's Representations. - Philip Bille, Mikko Berggren Ettienne, Travis Gagie, Inge Li Gørtz, Nicola Prezza:
Fast Lempel-Ziv Decompression in Linear Space. - Rui Teixeira Ribeiro, Alexandre Mauroy, Jorge Gonçalves:
An Approach to Sparse Continuous-time System Identification from Unevenly Sampled Data. - Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker:
Learning to Adapt Structured Output Space for Semantic Segmentation. - Tobias Harks, Martin Hoefer, Anja Huber, Manuel Surek:
Efficient Black-Box Reductions for Separable Cost Sharing. - Sjoerd van Steenkiste, Michael Chang, Klaus Greff, Jürgen Schmidhuber:
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions. - Tomohiro I, Dominik Köppl:
Improved Upper Bounds on all Maximal α-gapped Repeats and Palindromes. - Diego Pérez-Liébana, Jialin Liu, Ahmed Khalifa, Raluca D. Gaina, Julian Togelius, Simon M. Lucas:
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms. - Thanh-Toan Do, Ming Cai, Trung Pham, Ian D. Reid:
Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image. - Liang Liu, Shuowen Zhang, Rui Zhang:
CoMP in the Sky: UAV Placement and Movement Optimization for Multi-User Communications. - Pablo Chico de Guzmán, Felipe Gorostiaga, César Sánchez:
i2kit: A Tool for Immutable Infrastructure Deployments based on Lightweight Virtual Machines specialized to run Containers. - Jian-Jia Chen, Georg von der Brüggen, Niklas Ueter:
Push Forward: Global Fixed-Priority Scheduling of Arbitrary-Deadline Sporadic Task Systems. - Petr A. Golovach, Pinar Heggernes, Athanasios L. Konstantinidis, Paloma T. Lima, Charis Papadopoulos:
Parameterized Aspects of Strong Subgraph Closure. - Henrique X. Goulart, Guilherme Alberto Wachs-Lopes:
A Bayesian Model for Activities Recommendation and Event Structure Optimization Using Visitors Tracking. - Bin Dai, Chen Zhu, David P. Wipf:
Compressing Neural Networks using the Variational Information Bottleneck. - Kévin Perrot, Pacôme Perrotin, Sylvain Sené:
A framework for (de)composing with Boolean automata networks. - Parinya Chalermsook, Syamantak Das, Guy Even, Bundit Laekhanukit, Daniel Vaz:
Survivable Network Design for Group Connectivity in Low-Treewidth Graphs. - Alexandru-Sabin Bana, Marko Angjelichinoski, Elisabeth de Carvalho, Petar Popovski:
Massive MIMO for Ultra-reliable Communications with Constellations for Dual Coherent-noncoherent Detection. - Alexandru-Sabin Bana, Kasper Fløe Trillingsgaard, Petar Popovski, Elisabeth de Carvalho:
Short Packet Structure for Ultra-Reliable Machine-type Communication: Tradeoff between Detection and Decoding. - German Ignacio Parisi, Pablo V. A. Barros, Di Fu, Sven Magg, Haiyan Wu, Xun Liu, Stefan Wermter:
A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments. - Jonathan D. Hauenstein, Mohab Safey El Din, Éric Schost, Thi Xuan Vu:
Solving determinantal systems using homotopy techniques. - Andros Tjandra, Sakriani Sakti, Satoshi Nakamura:
Tensor Decomposition for Compressing Recurrent Neural Network. - Abbas Acar, Hidayet Aksu, A. Selcuk Uluagac, Kemal Akkaya:
WACA: Wearable-Assisted Continuous Authentication. - Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin:
Convolutional Neural Networks with Alternately Updated Clique. - Hossein Nejati, Hamed Alizadeh Ghazijahani, Milad Abdollahzadeh, Tooba Malekzadeh, Ngai-Man Cheung, Kheng Hock Lee, Lian Leng Low:
Fine-grained wound tissue analysis using deep neural network. - Zubair Al Azim, Akhilesh Jaiswal, Indranil Chakraborty, Kaushik Roy:
Capacitively Driven Global Interconnect with Magnetoelectric Switching Based Receiver for Higher Energy Efficiency. - Kevin Batz, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Christoph Matheja:
How long, O Bayesian network, will I sample thee? A program analysis perspective on expected sampling times. - Keyan Ding:
A Simple Method to improve Initialization Robustness for Active Contours driven by Local Region Fitting Energy. - Banu Kabakulak:
Sensor and Sink Placement, Scheduling and Routing Algorithms for Connected Coverage of Wireless Sensor Networks. - Brenden K. Petersen, Jiachen Yang, Will S. Grathwohl, Chase Cockrell, Claudio Santiago, Gary An, Daniel M. Faissol:
Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis. - Adam D. Cobb, Richard Everett, Andrew Markham, Stephen J. Roberts:
Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus. - Jean-Guillaume Dumas, Clément Pernet:
Symmetric indefinite triangular factorization revealing the rank profile matrix. - Frédéric Chazal, Vincent Divol:
The density of expected persistence diagrams and its kernel based estimation. - Hamid Soleimani, Wilten Nicola, Claudia Clopath, Emmanuel M. Drakakis:
A High GOPs/Slice Time Series Classifier for Portable and Embedded Biomedical Applications. - Parijat Dewangan, S. Phani Teja, K. Madhava Krishna, Abhishek Sarkar, Balaraman Ravindran:
DiGrad: Multi-Task Reinforcement Learning with Shared Actions. - Mário S. Alvim, Konstantinos Chatzikokolakis, Yusuke Kawamoto, Catuscia Palamidessi:
Leakage and Protocol Composition in a Game-Theoretic Perspective. - Kevin Batz, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Christoph Matheja, Thomas Noll:
Quantitative Separation Logic. - Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix:
Efficient V2V Communication Scheme for 5G MmWave Hyper-Connected CAVs. - Hadi G. Ghauch, Taejoon Kim, Mikael Skoglund, Carlo Fischione:
Low-Overhead Coordination in Sub-28 Millimeter-Wave Networks. - Kai Wan, Mingyue Ji, Pablo Piantanida, Daniela Tuninetti:
On the Benefits of Asymmetric Coded Cache Placement in Combination Networks with End-User Caches. - Yanan Luo, Jie Zou, Chengfei Yao, Tao Li, Gang Bai:
HSI-CNN: A Novel Convolution Neural Network for Hyperspectral Image. - Kai Wan, Mingyue Ji, Pablo Piantanida, Daniela Tuninetti:
Caching in Combination Networks: A Novel Delivery by Leveraging the Network Topology. - Kai Wan, Daniela Tuninetti, Mingyue Ji, Pablo Piantanida:
A Novel Asymmetric Coded Placement in Combination Networks with end-user Caches. - Gais Alhadi, Imed Kacem, Pierre Laroche, Izzeldin M. Osman:
An Approximate Pareto Set for Minimizing the Maximum Lateness and Makespan on Parallel Machines. - Paul Schydlo, Mirko Rakovic, Lorenzo Jamone, José Santos-Victor:
Anticipation in Human-Robot Cooperation: A Recurrent Neural Network Approach for Multiple Action Sequences Prediction. - Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein:
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge. - Tobias Harks, Marc Schröder, Dries Vermeulen:
Toll Caps in Privatized Road Networks. - Abu Awal Md Shoeb:
Is Private Browsing in Modern Web Browsers Really Private? - Maurits Kaptein, Paul Ketelaar:
Maximum likelihood estimation of a finite mixture of logistic regression models in a continuous data stream. - Shreya Inamdar, Charitha Saumya, Nomchin Banga:
Orion+: Automated Problem Diagnosis in Computing Systems by Mining Metric Data. - Muhammad Umar Farooq, Saeedeh Moloudi, Michael Lentmaier:
Thresholds of Braided Convolutional Codes on the AWGN Channel. - Vasileios Kagklis, Elias C. Stavropoulos, Vassilios S. Verykios:
A Frequent Itemset Hiding Toolbox. - Pierre-Yves Oudeyer:
Computational Theories of Curiosity-Driven Learning. - Carlos X. Hernández, Mohammad M. Sultan, Vijay S. Pande:
Using Deep Learning for Segmentation and Counting within Microscopy Data. - Gauthier Gidel, Hugo Berard, Pascal Vincent, Simon Lacoste-Julien:
A Variational Inequality Perspective on Generative Adversarial Nets. - Mehrnaz Afshang, Chiranjib Saha, Harpreet S. Dhillon:
Equi-coverage Contours in Cellular Networks. - Loïc Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, George Attilakos, Ruwan Wimalasundera, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Retrieval and Registration of Long-Range Overlapping Frames for Scalable Mosaicking of In Vivo Fetoscopy. - Michaël Cadilhac, Olivier Carton, Charles Paperman:
Continuity and Rational Functions. - Jicong Fan, Tommy W. S. Chow:
Exactly Robust Kernel Principal Component Analysis. - Mark Kliger, Shachar Fleishman:
Novelty Detection with GAN. - Amy Babay, Michael Dinitz, Zeyu Zhang:
Characterizing Demand Graphs for (Fixed-Parameter) Shallow-Light Steiner Network. - Chloé-Agathe Azencott:
Machine learning and genomics: precision medicine vs. patient privacy. - Patrick Verga, Emma Strubell, Andrew McCallum:
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction. - Fredrik Kjolstad, Shoaib Kamil, Saman P. Amarasinghe:
Automatic Generation of Sparse Tensor Kernels with Workspaces. - William Blum:
Reducing Lambda Terms with Traversals. - Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, Gang Hua:
Stereoscopic Neural Style Transfer. - Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel:
Model-Ensemble Trust-Region Policy Optimization. - Fredrik Hallgren, Paul Northrop:
Incremental kernel PCA and the Nyström method. - Maxwell Henderson, John Novak, Tristan Cook:
Leveraging Adiabatic Quantum Computation for Election Forecasting. - Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani:
Optimizing Non-decomposable Measures with Deep Networks. - Laura P. Schaposnik, Anlin Zhang:
Modeling epidemics on d-cliqued graphs. - Shiva Navabi, Chenwei Wang, Ozgun Y. Bursalioglu, Haralabos C. Papadopoulos:
Predicting Wireless Channel Features using Neural Networks. - Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan, Chih-Jen Lin:
Distributed Newton Methods for Deep Neural Networks. - Seiseki Akibue, Go Kato:
Bipartite discrimination of independently prepared quantum states as a counterexample of a parallel repetition conjecture. - Priodyuti Pradhan, Sarika Jalan:
Network construction: A learning framework through localizing principal eigenvector. - Igor G. Vladimirov, Ian R. Petersen, Matthew R. James:
Risk-sensitive performance criteria and robustness of quantum systems with a relative entropy description of state uncertainty. - Subhrajit Roy, Isabell Kiral-Kornek, Stefan Harrer:
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification. - Narad Rampersad, Jeffrey O. Shallit:
Common factors in automatic and Sturmian sequences. - Ivan Martinovic, Vesna Mandic:
Biomedical Signals Reconstruction Under the Compressive Sensing Approach. - Corentin Briat:
Stability and L1/𝓁1-to-L1/𝓁1 performance analysis of uncertain impulsive linear positive systems with applications to the interval observation of impulsive and switched systems with constant delays. - Peter T. Darch:
When Scientists Become Social Scientists: How Citizen Science Projects Learn About Volunteers. - Paulo J. P. de Souza, Cesar H. Comin, Luciano da F. Costa:
Note: Distance-Based Network Partitioning. - Phillip A. Jang, Andrew E. Loeb, Matthew B. Davidow, Andrew Gordon Wilson:
Scalable Lévy Process Priors for Spectral Kernel Learning. - Benjamin Schweinhart:
Persistent Homology and the Upper Box Dimension. - Lior Shamir, G. Bruce Berriman, Peter J. Teuben, Robert J. Nemiroff, Alice Allen:
Best Practices for a Future Open Code Policy: Experiences and Vision of the Astrophysics Source Code Library. - Masashi Wakaiki:
An LMI Approach to Stability Analysis of Coupled Parabolic Systems. - Tianwei Yue, Haohan Wang:
Deep Learning for Genomics: A Concise Overview. - Andrei Amatuni, Estelle He, Elika Bergelson:
Preserved Structure Across Vector Space Representations. - Rohit K. Tripathy, Ilias Bilionis:
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification. - Fatima Zohra Smaili, Xin Gao, Robert Hoehndorf:
Onto2Vec: joint vector-based representation of biological entities and their ontology-based annotations. - Yize Chen, Pan Li, Baosen Zhang:
Bayesian Renewables Scenario Generation via Deep Generative Networks. - Benjamin Steinegger, Alessio Cardillo, Paolo De Los Rios, Jesús Gómez-Gardeñes, Alex Arenas:
Interplay between cost and benefits triggers nontrivial vaccination uptake. - Abraham P. Punnen, Pooja Pandey:
Representations of quadratic combinatorial optimization problems: A case study using the quadratic set covering problem. - Federico Aschieri, Agata Ciabattoni, Francesco A. Genco:
Disjunctive Axioms and Concurrent λ-Calculi: a Curry-Howard Approach. - Simon Portegies Zwart, Tjarda Boekholt:
Numerical verification of the microscopic time reversibility of Newton's equations of motion: Fighting exponential divergence. - Tristram Bogart, John Goodrick, Danny Nguyen, Kevin Woods:
Parametric Presburger Arithmetic: Complexity of Counting and Quantifier Elimination. - Thomas R. Dean, Mary Wootters, Andrea J. Goldsmith:
Blind Joint MIMO Channel Estimation and Decoding. - Paniz Karbasi, Ritchie Cai, Blake Schultze, Hanh Nguyen, Jones Reed, Patrick Hall, Valentina Giacometti, Vladimir Bashkirov, Robert P. Johnson, Nicholas T. Karonis, Jeffrey Olafsen, Caesar E. Ordoñez, Keith E. Schubert, Reinhard W. Schulte:
A Highly Accelerated Parallel Multi-GPU based Reconstruction Algorithm for Generating Accurate Relative Stopping Powers. - Mohamed Ishmael Belghazi, Sai Rajeswar, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic, Aaron C. Courville:
Hierarchical Adversarially Learned Inference. - Nicolas Pontois, Megumi Kaneko, Thi Ha Ly Dinh, Lila Boukhatem:
User Pre-Scheduling and Beamforming with Imperfect CSI in 5G Fog Radio Access Networks. - Syed Shariq Husain, Kiran Sharma, Vishwas Kukreti, Anirban Chakraborti:
Identifying the global terror hubs and vulnerable motifs using complex network dynamics. - Andrew J. Blumberg, Prithwish Bhaumik, Stephen G. Walker:
Testing to distinguish measures on metric spaces. - Joona Karjalainen, Johan S. H. van Leeuwaarden, Lasse Leskelä:
Parameter estimators of random intersection graphs with thinned communities. - Alessandro Muscoloni, Carlo Vittorio Cannistraci:
Minimum curvilinear automata with similarity attachment for network embedding and link prediction in the hyperbolic space. - Arushi Gupta, José Manuel Zorrilla Matilla, Daniel Hsu, Zoltán Haiman:
Non-Gaussian information from weak lensing data via deep learning. - Leonardo Colombo, Dimos V. Dimarogonas:
Variational Principles for Optimal Control of Left-Invariant Multi-Agent Systems with Asymmetric Formation Constraints. - Yongxin Chen, Tryphon T. Georgiou, Allen R. Tannenbaum:
Stochastic control and non-equilibrium thermodynamics: fundamental limits. - Reza Eghbali, James Saunderson, Maryam Fazel:
Competitive Online Algorithms for Resource Allocation over the Positive Semidefinite Cone. - Vasco Brattka:
A Galois connection between Turing jumps and limits. - Mikhail Belkin, Siyuan Ma, Soumik Mandal:
To understand deep learning we need to understand kernel learning. - Carl-Johann Simon-Gabriel, Yann Ollivier, Bernhard Schölkopf, Léon Bottou, David Lopez-Paz:
Adversarial Vulnerability of Neural Networks Increases With Input Dimension. - Alexey Chaplygin, Joshua Chacksfield:
A Method for Restoring the Training Set Distribution in an Image Classifier. - Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston:
Variational image compression with a scale hyperprior. - Charles-Alban Deledalle, Shibin Parameswaran, Truong Q. Nguyen:
Image restoration with generalized Gaussian mixture model patch priors. - Owen T. Courtney, Ginestra Bianconi:
Dense Power-law Networks and Simplicial Complexes. - Christophe Jurczak:
Review of LiFi visible light communications : research and use cases. - Simon S. Du, Wei Hu:
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity. - Mingqing Liu, Mingliang Xiong, Hao Deng, Qingwen Liu, Jun Wu, Pengfei Xia:
Mobile Energy Internet. - Michael Poluektov, Andrew Polar:
Modelling of Non-linear Control Systems using the Discrete Urysohn Operator. - Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim:
Weakly-supervised Dictionary Learning. - Trevor Campbell, Tamara Broderick:
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent. - Chun Tung Chou:
Detection of sustained signals and its relation to coherent feedforward loops. - Giovanni Luca Torrisi, Michele Garetto, Emilio Leonardi:
A large deviation approach to super-critical bootstrap percolation on the random graph Gn, p. - Javier Franco-Pedroso, Joaquin Gonzalez-Rodriguez, Jorge Cubero, Maria Planas, Rafael Cobo, Fernando Pablos:
Generating virtual scenarios of multivariate financial data for quantitative trading applications. - Babatope S. Ayo:
Development of a Home Automation System Using Wireless Sensor/Actuator Nodes. - Clement Lee, Darren J. Wilkinson:
A hierarchical model of non-homogeneous Poisson processes for Twitter retweets. - Nariman Farsad, Andrea Goldsmith:
Neural Network Detection of Data Sequences in Communication Systems. - Julio Aracena, Maximilien Gadouleau, Adrien Richard, Lilian Salinas:
Fixing monotone Boolean networks asynchronously. - Camille Negrello, Pierre Gosselet, Christian Rey:
A new impedance accounting for short and long range effects in mixed substructured formulations of nonlinear problems. - Eugene d'Eon, M. M. R. Williams:
Isotropic Scattering in a Flatland Half-Space. - Naoki Egami, Christian J. Fong, Justin Grimmer, Margaret E. Roberts, Brandon M. Stewart:
How to Make Causal Inferences Using Texts. - Matthias Feurer, Benjamin Letham, Eytan Bakshy:
Scalable Meta-Learning for Bayesian Optimization. - Song-Hwa Kwon, Hyeong In Choi, Sung Jin Lee, Nam-Sook Wee:
Seeded Ising Model and Statistical Natures of Human Iris Templates. - Yue Wu, Youzuo Lin, Zheng Zhou, Andrew Delorey:
Seismic-Net: A Deep Densely Connected Neural Network to Detect Seismic Events. - Maria Chudnovsky, Sophie Spirkl, Mingxian Zhong:
Four-coloring Ps6-free graphs. I. Extending an excellent precoloring. - Maria Chudnovsky, Sophie Spirkl, Mingxian Zhong:
Four-coloring P6-free graphs. II. Finding an excellent precoloring. - Jie Fan:
Neighborhood Contingency Logic: A New Perspective. - (Withdrawn) Improved Oracle Complexity of Variance Reduced Methods for Nonsmooth Convex Stochastic Composition Optimization.
- Satoshi Takabe, Koji Hukushima, Alexander K. Hartmann:
Large-deviation Properties of Linear-programming Computational Hardness of the Vertex Cover Problem. - Ethan C. Jackson, James Alexander Hughes, Mark Daley:
On the Generalizability of Linear and Non-Linear Region of Interest-Based Multivariate Regression Models for fMRI Data. - Lele Chen, Yue Wu, Adora M. DSouza, Anas Z. Abidin, Axel Wismüller, Chenliang Xu:
MRI Tumor Segmentation with Densely Connected 3D CNN. - Alexey Chaplygin, Joshua Chacksfield:
Stochastic Deconvolutional Neural Network Ensemble Training on Generative Pseudo-Adversarial Networks. - Alexander New, Curt M. Breneman, Kristin P. Bennett:
Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models. - Jakub Byszewski, Jakub Konieczny:
Factors of generalised polynomials and automatic sequences. - Yoon Kim, Sam Wiseman, Andrew C. Miller, David A. Sontag, Alexander M. Rush:
Semi-Amortized Variational Autoencoders. - Pavel Gurevich, Hannes Stuke:
Gradient conjugate priors and deep neural networks. - Md Tauhidul Islam, Celia Shahnaz, Wei-Ping Zhu, M. Omair Ahmad:
A Divide and Conquer Strategy for Musical Noise-free Speech Enhancement in Adverse Environments. - Siddhartha Verma, Guido Novati, Petros Koumoutsakos:
Efficient collective swimming by harnessing vortices through deep reinforcement learning. - Charles B. Delahunt, Jeffrey A. Riffell, J. Nathan Kutz:
Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, with Applications to Neural Nets. - Dong Wang, Braxton Osting:
A diffusion generated method for computing Dirichlet partitions. - Maxime Soler, Mélanie Plainchault, Bruno Conche, Julien Tierny:
Topologically Controlled Lossy Compression. - Jeehyeong Kim, Joohan Park, Jaewon Noh, Sunghyun Cho:
Completely Distributed Power Allocation using Deep Neural Network for Device to Device communication Underlaying LTE. - Sean Rowan:
Transductive Adversarial Networks (TAN). - Shuo-Hui Li, Lei Wang:
Neural Network Renormalization Group. - Munik Shrestha, Samuel V. Scarpino, Erika M. Edwards, Lucy T. Greenberg, Jeffrey D. Horbar:
The Interhospital Transfer Network for Very Low Birth Weight Infants in the United States. - Gholamreza Askari, Madjid Eshaghi Gordji, Ali Zarei:
The dynamic framework of decision-making. - Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Rong Zhou, Hoda Eldardiry:
Learning Role-based Graph Embeddings. - Rui Zhang, Quanyan Zhu:
A Game-Theoretic Approach to Design Secure and Resilient Distributed Support Vector Machines. - Anru Zhang, Mengdi Wang:
State Compression of Markov Processes via Empirical Low-Rank Estimation. - Tobin Isaac:
A mixed finite element for weakly-symmetric elasticity. - Damek Davis, Dmitriy Drusvyatskiy:
Stochastic subgradient method converges at the rate O(k-1/4) on weakly convex functions. - Shin Matsushima:
Statistical Learnability of Generalized Additive Models based on Total Variation Regularization. - Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda:
Imitation networks: Few-shot learning of neural networks from scratch. - Andrea Paudice, Luis Muñoz-González, András György, Emil C. Lupu:
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection. - Ravi Ganti, Matyas Sustik, Quoc Tran, Brian Seaman:
Thompson Sampling for Dynamic Pricing. - Mostafa Mohammadkarimi, Ebrahim Karami, Octavia A. Dobre, Moe Z. Win:
Doppler Spread Estimation in MIMO Frequency-selective Fading Channels. - Sarah E. Marzen, James P. Crutchfield:
Optimized Bacteria are Environmental Prediction Engines. - Iasson Karafyllis, Miroslav Krstic:
Small-Gain Stability Analysis of Hyperbolic-Parabolic PDE Loops. - Seyed Ali Ossia, Ali Taheri, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Hamid R. Rabiee:
Deep Private-Feature Extraction. - Manuel S. Stein, Michael Fauß:
In a One-Bit Rush: Low-Latency Wireless Spectrum Monitoring with Binary Sensor Arrays. - Dominique Unruh:
Quantum Relational Hoare Logic. - Jeremy Emile Cohen, Rodrigo Cabral Farias, Bertrand Rivet:
Curve Registered Coupled Low Rank Factorization. - Louis Falissard, Guy Fagherazzi, Newton Howard, Bruno Falissard:
Deep clustering of longitudinal data. - Dominic J. D. Hughes:
Unification nets: canonical proof net quantifiers. - Ferdinando Patat, Henri M. J. Boffin, Dominic Bordelon, Uta Grothkopf, Silvia Meakins, Steffen Mieske, Marina Rejkuba:
The ESO Survey of Non-Publishing Programmes. - Feihu Huang, Songcan Chen:
Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization. - Simon Guillotte, François Perron, Johan Segers:
Bayesian inference for bivariate ranks. - Naveen Sai Madiraju, Naresh Kurella, Rama Valapudasu:
FPGA Implementation of ECG feature extraction using Time domain analysis. - Samaneh Ebrahimi, Hossein Vahabi, Matthew Prockup, Oriol Nieto:
Predicting Audio Advertisement Quality. - Muhammad Osama, Dave Zachariah, Thomas B. Schön:
Learning Localized Spatio-Temporal Models From Streaming Data. - Daniele Bartoli, Matteo Bonini:
Minimum weight codewords in dual Algebraic-Geometric codes from the Giulietti-Korchmáros curve. - Vadim Smolyakov, John W. Fisher III:
Information Planning for Text Data. - Quan-Hui Liu, Wei Wang, Shi-Min Cai, Ming Tang, Ying-Cheng Lai:
Synergistic interactions promote behavior spreading and alter phase transition on multiplex networks. - Bryan Gregory:
Predicting Customer Churn: Extreme Gradient Boosting with Temporal Data. - Cédric Beaulac, Jeffrey S. Rosenthal:
Predicting University Students' Academic Success and Choice of Major using Random Forests. - Leland McInnes, John Healy:
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction. - Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi:
Bayesian Compressive Sensing with Circulant Matrix for Spectrum Sensing in Cognitive Radio Networks. - Mathias Lécuyer, Vaggelis Atlidakis, Roxana Geambasu, Daniel Hsu, Suman Jana:
On the Connection between Differential Privacy and Adversarial Robustness in Machine Learning. - Md Tauhidul Islam, Celia Shahnaz, Wei-Ping Zhu, M. Omair Ahmad:
Modeling of Teager Energy Operated Perceptual Wavelet Packet Coefficients with an Erlang-2 PDF for Real Time Enhancement of Noisy Speech. - Min Ye, Emmanuel Abbe:
Communication-Computation Efficient Gradient Coding. - Tingran Gao, Shahar Z. Kovalsky, Doug M. Boyer, Ingrid Daubechies:
Gaussian Process Landmarking on Manifolds. - Marjolein Troost, Katja Seeliger, Marcel van Gerven:
Generalization of an Upper Bound on the Number of Nodes Needed to Achieve Linear Separability. - Jie Fan:
A sequence of neighborhood contingency logics. - Kyongche Kang, Jack Michalak:
Enhanced version of AdaBoostM1 with J48 Tree learning method. - Cunsheng Ding:
A family of ovoids in PG(3, 2^m) from cyclic codes. - Gilles R. Ducharme:
Critères de qualité d'un classifieur généraliste. - Tam Le, Makoto Yamada:
Riemannian Manifold Kernel for Persistence Diagrams. - Shima Sadat Mousavi, Mohammad Haeri, Mehran Mesbahi:
Laplacian Dynamics on Cographs: Controllability Analysis through Joins and Unions. - P. Bryan Heidorn, Gretchen R. Stahlman, Julie Steffen:
Astrolabe: Curating, Linking and Computing Astronomy's Dark Data. - Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha:
Learning to Recommend via Inverse Optimal Matching. - Samantha Petti, Santosh S. Vempala:
Approximating Sparse Graphs: The Random Overlapping Communities Model. - Dmitry I. Khomovsky:
A geometric approach to integer factorization. - Arthur Mensch, Mathieu Blondel:
Differentiable Dynamic Programming for Structured Prediction and Attention. - Jingwei Zhang, Tongliang Liu, Dacheng Tao:
On the Rates of Convergence from Surrogate Risk Minimizers to the Bayes Optimal Classifier. - Risi Kondor, Shubhendu Trivedi:
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups. - Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie:
Nearly Optimal Adaptive Procedure for Piecewise-Stationary Bandit: a Change-Point Detection Approach. - Qi Meng, Wei Chen, Shuxin Zheng, Qiwei Ye, Tie-Yan Liu:
Optimizing Neural Networks in the Equivalent Class Space. - Jie Fan:
Bimodal logics with contingency and accident. - Roya Paridar, Moein Mozaffarzadeh, Mohammadreza Nasiriavanaki, Mahdi Orooji:
Double Minimum Variance Beamforming Method to Enhance Photoacoustic Imaging. - Louis Esperet, Ross J. Kang, Stéphan Thomassé:
Separation choosability and dense bipartite induced subgraphs. - Jonathan Epperlein, Jaroslaw Legierski, Marcin Luckner, Jakub Marecek, Rahul Nair:
The Use of Presence Data in Modelling Demand for Transportation. - Sourav Mishra, Toshihiko Yamasaki, Hideaki Imaizumi, Hiromi Hirano:
Supervised classification of Dermatological diseases by Deep neural networks. - Paul K. Rubenstein, Bernhard Schölkopf, Ilya O. Tolstikhin:
On the Latent Space of Wasserstein Auto-Encoders. - Mehmet Tan, Ozan Firat Özgül, Batuhan Bardak, Isiksu Eksioglu, Suna Sabuncuoglu:
Drug response prediction by ensemble learning and drug-induced gene expression signatures. - Lam M. Nguyen, Phuong Ha Nguyen, Marten van Dijk, Peter Richtárik, Katya Scheinberg, Martin Takác:
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption. - Ethan Akin, Slawomir Plaskacz, Joanna Zwierzchowska:
Smale Strategies For The N-Person Iterated Prisoner's Dilemma. - Weiran Wang, Jialei Wang, Mladen Kolar, Nathan Srebro:
Distributed Stochastic Multi-Task Learning with Graph Regularization. - Casey Kneale, Steven D. Brown:
Uncharted Forest a Technique for Exploratory Data Analysis of Provenance Studies. - Dalin Zhu, Junil Choi, Qian Cheng, Weimin Xiao, Robert W. Heath Jr.:
High-Resolution Angle Tracking for Mobile Wideband Millimeter-Wave Systems with Antenna Array Calibration. - Nathan Lay, Adam P. Harrison, Sharon Schreiber, Gitesh Dawer, Adrian Barbu:
Random Hinge Forest for Differentiable Learning. - Zhihui Zhu, Xiao Li:
Convergence Analysis of Alternating Nonconvex Projections. - Yosef Kornbluth, Gilad Barach, Mark Tuchman, Benjamin Kadish, Gabriel Cwilich, Sergey V. Buldyrev:
Network Overload due to Massive Attacks. - Fuhui Zhou, Yongpeng Wu, Haijian Sun, Zheng Chu:
UAV-Enabled Mobile Edge Computing: Offloading Optimization and Trajectory Design. - Reza Zafarani, Sara Eftekharnejad, Urvi Patel:
Assessing the Utility of Weather Data for Photovoltaic Power Prediction. - Tatsuhiro Aoshima, Kei Kobayashi, Mihoko Minami:
Revisiting the Vector Space Model: Sparse Weighted Nearest-Neighbor Method for Extreme Multi-Label Classification. - Federico Tomasi, Veronica Tozzo, Saverio Salzo, Alessandro Verri:
Latent variable time-varying network inference. - Gareth John Baxter, G. Timár, J. F. F. Mendes:
Targeted Damage to Interdependent Networks. - Alberto Bietti, Alekh Agarwal, John Langford:
Practical Evaluation and Optimization of Contextual Bandit Algorithms. - Tian Guo, Nino Antulov-Fantulin:
Predicting short-term Bitcoin price fluctuations from buy and sell orders. - Robert M. Gower, Filip Hanzely, Peter Richtárik, Sebastian U. Stich:
Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization. - Chang Liu, Xiangrui Zeng, Ruogu Lin, Xiaodan Liang, Zachary Freyberg, Eric P. Xing, Min Xu:
Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms. - Yang Liu, Kai Sun:
Power System Simulation Using the Differential Transformation Method. - Qiang Qiu, Xiuyuan Cheng, A. Robert Calderbank, Guillermo Sapiro:
DCFNet: Deep Neural Network with Decomposed Convolutional Filters. - Leonardo Baldassini, Jose Antonio Rodríguez Serrano:
client2vec: Towards Systematic Baselines for Banking Applications. - Francisco J. R. Ruiz, Michalis K. Titsias, Adji B. Dieng, David M. Blei:
Augment and Reduce: Stochastic Inference for Large Categorical Distributions. - Vlad Niculae, André F. T. Martins, Mathieu Blondel, Claire Cardie:
SparseMAP: Differentiable Sparse Structured Inference. - Gang Mei, Nengxiong Xu, Liangliang Xu, Yazhe Li:
GeoMFree3D: An Under-Development Meshfree Software Package for Geomechanics. - Yujia Xie, Xiangfeng Wang, Ruijia Wang, Hongyuan Zha:
A Fast Proximal Point Method for Wasserstein Distance. - Adrian Wills, Thomas B. Schön:
Stochastic quasi-Newton with adaptive step lengths for large-scale problems. - Mehdi S. M. Sajjadi, Bernhard Schölkopf:
Tempered Adversarial Networks. - Bryon Aragam, Chen Dan, Pradeep Ravikumar, Eric P. Xing:
Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering. - (Withdrawn) TVAE: Triplet-Based Variational Autoencoder using Metric Learning.
- Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, Sonam Choudhary, Evan P. Hamilton, Derek Roth:
A comparative study of fairness-enhancing interventions in machine learning. - Zhize Li, Jian Li:
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization. - Wei Ma, Xun Liu:
Phased Microphone Array for Sound Source Localization with Deep Learning. - Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda:
Legendre Tensor Decomposition. - Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le, Chris J. Maddison, Maximilian Igl, Frank Wood, Yee Whye Teh:
Tighter Variational Bounds are Not Necessarily Better. - Hideaki Imamura, Issei Sato, Masashi Sugiyama:
Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model. - Alessandra Di Pierro, Stefano Mancini, Laleh Memarzadeh, Riccardo Mengoni:
Homological analysis of multi-qubit entanglement. - Tao Zhang, Yue Zhou:
On the nonexistence of linear perfect Lee codes. - Chao Qu, Yan Li, Huan Xu:
Fast Global Convergence via Landscape of Empirical Loss. - Tobias Köppl, Gabriele Santin, Bernard Haasdonk, Rainer Helmig:
Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and machine learning techniques. - Pablo Martínez-Nuevo, Alan V. Oppenheim:
Lattice Functions for the Analysis of Analgo-to-Digital Conversion. - Andrei D. Polyanin, Inna K. Shingareva:
Hypersingular nonlinear boundary-value problems with a small parameter. - John Billingham:
Equilibrium solutions of three player Kuhn poker with N>3 cards: A new numerical method using regularization and arc-length continuation. - Pablo Martínez-Nuevo, Alan V. Oppenheim:
Delta-Ramp Encoder: Amplitude Sampling meets Time Encoding. - Mehmet Eren Ahsen, Robert M. Vogel, Gustavo Stolovitzky:
Unsupervised Evaluation and Weighted Aggregation of Ranked Predictions. - Thomas N. Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard S. Zemel:
Neural Relational Inference for Interacting Systems. - Zalán Borsos, Andreas Krause, Kfir Y. Levy:
Online Variance Reduction for Stochastic Optimization. - Davide Righini, Andrea M. Tonello:
Broadband MIMO Couplers Characterization and Comparison. - Qin Wang, Sandro Schönborn, Yvonne-Anne Pignolet, Theo Widmer, Carsten Franke:
Substation Signal Matching with a Bagged Token Classifier. - Denis Jeambrun, Yves Moreau, Jean-Louis Costaz, Jean-Pierre Tourret, Paul Jouanna, Gilles Lecoy:
Simulation of the propagation of a cylindrical shear wave : non linear and dissipative modelling. - Matthieu Lerasle, Zoltán Szabó, Guillaume Lecué, Gaspar Massiot, Eric Moulines:
MONK - Outlier-Robust Mean Embedding Estimation by Median-of-Means. - Difan Zou, Pan Xu, Quanquan Gu:
Stochastic Variance-Reduced Hamilton Monte Carlo Methods. - Pierre-Alexandre Mattei, Jes Frellsen:
Leveraging the Exact Likelihood of Deep Latent Variable Models. - Charlotte James, Luca Pappalardo, Alina Sîrbu, Filippo Simini:
Prediction of next career moves from scientific profiles. - Benjamin Mark, Garvesh Raskutti, Rebecca Willett:
Network Estimation from Point Process Data. - Bartosz Zielinski, Mateusz Juda, Matthias Zeppelzauer:
Persistence Codebooks for Topological Data Analysis. - Terrance DeVries, Graham W. Taylor:
Learning Confidence for Out-of-Distribution Detection in Neural Networks. - Seyed Mehran Kazemi, David Poole:
SimplE Embedding for Link Prediction in Knowledge Graphs. - Alexander A. Alemi, Ian Fischer:
GILBO: One Metric to Measure Them All. - Weijie Su, Yuancheng Zhu:
Statistical Inference for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent. - Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry P. Vetrov:
Uncertainty Estimation via Stochastic Batch Normalization. - Nezihe Merve Gürel, Kaan Kara, Dan Alistarh, Ce Zhang:
Compressive Sensing with Low Precision Data Representation: Radio Astronomy and Beyond. - Richard Y. Zhang, Salar Fattahi, Somayeh Sojoudi:
Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models. - Anit Kumar Sahu, Dusan Jakovetic, Soummya Kar:
CIRFE: A Distributed Random Fields Estimator. - (Withdrawn) Edge Attention-based Multi-Relational Graph Convolutional Networks.
- Demival Vasques Filho, Dion R. J. O'Neale:
Degree distributions of bipartite networks and their projections. - Lingfei Wu, Ian En-Hsu Yen, Fangli Xu, Pradeep Ravikumar, Michael Witbrock:
D2KE: From Distance to Kernel and Embedding. - Xiao-Yong Yan, Tao Zhou:
Destination Choice Game: A Spatial Interaction Theory on Human Mobility. - Yunfeng Hu, Matthew Hudelson, Bala Krishnamoorthy, Altansuren Tumurbaatar, Kevin R. Vixie:
Median Shapes. - Luca Pappalardo, Paolo Cintia, Paolo Ferragina, Emanuele Massucco, Dino Pedreschi, Fosca Giannotti:
PlayeRank: Multi-dimensional and role-aware rating of soccer player performance. - Yishai Shimoni, Chen Yanover, Ehud Karavani, Yaara Goldschmidt:
Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis. - Danko Petric, Marija Milinkovic:
Comparison between CS and JPEG in terms of image compression. - Valentina Konatar, Maja Vesovic:
The Hermite and Fourier transforms in sparse reconstruction of sinusoidal signals. - Md Tauhidul Islam, Celia Shahnaz, Wei-Ping Zhu, M. Omair Ahmad:
Enhancement of Noisy Speech with Low Speech Distortion Based on Probabilistic Geometric Spectral Subtraction. - Konstantinos Drossos, Stylianos Ioannis Mimilakis, Andreas Floros, Tuomas Virtanen, Gerald Schuller:
Close Miking Empirical Practice Verification: A Source Separation Approach. - Chuan Zhang, Ziyuan Shen, Wei Wei, Jing Zhao, Zaichen Zhang, Xiaohu You:
Molecular Computing for Markov Chains. - Elad Hoffer, Shai Fine, Daniel Soudry:
On the Blindspots of Convolutional Networks. - Jirong Yi, Weiyu Xu:
Necessary and Sufficient Null Space Condition for Nuclear Norm Minimization in Low-Rank Matrix Recovery. - Víctor Blanco, Alfredo Marín:
Upgrading nodes in tree-shaped hub location. - Haraldur Tómas Hallgrímsson, Matthew Cieslak, Luca Foschini, Scott T. Grafton, Ambuj K. Singh:
Spatial Coherence of Oriented White Matter Microstructure: Applications to White Matter Regions Associated with Genetic Similarity. - Matías Vera, Pablo Piantanida, Leonardo Rey Vega:
The Role of Information Complexity and Randomization in Representation Learning. - Raghu Bollapragada, Dheevatsa Mudigere, Jorge Nocedal, Hao-Jun Michael Shi, Ping Tak Peter Tang:
A Progressive Batching L-BFGS Method for Machine Learning. - Xuanxuan Gao, Zhichao Huang, Xintong Lu, Senjie Zhang, Chao-Kai Wen, Shi Jin:
Implementation of Massive MIMO Uplink Receiver on RaPro Prototyping Platform. - Niladri S. Chatterji, Nicolas Flammarion, Yi-An Ma, Peter L. Bartlett, Michael I. Jordan:
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo. - Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson:
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction. - David Sutter:
Approximate quantum Markov chains. - Waldemar Hebisch:
Integration in terms of exponential integrals and incomplete gamma functions I. - Pierre Aboulker, Marthe Bonamy, Nicolas Bousquet, Louis Esperet:
Distributed coloring in sparse graphs with fewer colors. - Il Yong Chun, Jeffrey A. Fessler:
Convolutional Analysis Operator Learning: Acceleration, Convergence, Application, and Neural Networks. - Lukas Mosser, Olivier Dubrule, Martin J. Blunt:
Conditioning of three-dimensional generative adversarial networks for pore and reservoir-scale models. - Timo Deist, Andrew Patti, Zhaoqi Wang, David Krane, Taylor Sorenson, David Craft:
Simulation assisted machine learning. - Varun Kanade, Andrea Rocchetto, Simone Severini:
Learning DNFs under product distributions via μ-biased quantum Fourier sampling. - Kristian Ejlebjerg Jensen, Peter Szabó, Fridolin Okkels:
A Viscoelastic Catastrophe. - Usman Asghar, Farid Touati, Damiano Crescini, Alessio Galli, Adel Ben Mnaouer:
Development of Highly Efficient Multi-invariable Wireless Sensor System Design for Energy Harvesting. - Amir Khoshaman, Walter Vinci, Brandon Denis, Evgeny Andriyash, Mohammad H. Amin:
Quantum Variational Autoencoder. - Jana Novotná, Milan Hladík, Tomás Masarík:
Duality Gap in Interval Linear Programming. - Ashok Cutkosky, Róbert Busa-Fekete:
Distributed Stochastic Optimization via Adaptive Stochastic Gradient Descent. - Dawen Liang, Rahul G. Krishnan, Matthew D. Hoffman, Tony Jebara:
Variational Autoencoders for Collaborative Filtering. - Kaiyi Ji, Jian Tan, Yuejie Chi, Jinfeng Xu:
Learning Latent Features with Pairwise Penalties in Matrix Completion. - Guy Tennenholtz, Tom Zahavy, Shie Mannor:
Train on Validation: Squeezing the Data Lemon. - Hector Zenil, Narsis Aftab Kiani, Ming-Mei Shang, Jesper Tegnér:
Algorithmic Complexity and Reprogrammability of Chemical Structure Networks. - Helena Peic Tukuljac, Thach Pham Vu, Hervé Lissek, Pierre Vandergheynst:
Joint Estimation of Room Geometry and Modes with Compressed Sensing. - Maria Chiara Angelini:
Parallel Tempering for the planted clique problem. - Jinyu Zhang, Wenting Chang, Huaning Niu, Salvatore Talarico, Hongwen Yang:
Grant-less Uplink Transmission for LTE Operated in Unlicensed Spectrum. - Marine Le Morvan, Jean-Philippe Vert:
WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models. - Chuan Zhang, Yufeng Yang, Shunqing Zhang, Zaichen Zhang, Xiaohu You:
Residual-Based Detections and Unified Architecture for Massive MIMO Uplink. - Hyunjik Kim, Andriy Mnih:
Disentangling by Factorising. - Josh Gardner, Christopher Brooks:
Dropout Model Evaluation in MOOCs. - Vaiva Vasiliauskaite, Tim S. Evans:
Diversity from the Topology of Citation Networks. - Petr Gregor, Sven Jäger, Torsten Mütze, Joe Sawada, Kaja Wille:
Gray codes and symmetric chains. - Nathan Kallus, Angela Zhou:
Policy Evaluation and Optimization with Continuous Treatments. - Lin Chen, Hamed Hassani, Amin Karbasi:
Online Continuous Submodular Maximization. - James Sharpnack:
Learning Patterns for Detection with Multiscale Scan Statistics. - Saurabh Agrawal, Saurabh Verma, Gowtham Atluri, Anuj Karpatne, Stefan Liess, Angus W. MacDonald III, Snigdhansu Chatterjee, Vipin Kumar:
Mining Sub-Interval Relationships In Time Series Data. - Tengyuan Liang, James Stokes:
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks. - Ayush Jaiswal, Wael AbdAlmageed, Premkumar Natarajan:
CapsuleGAN: Generative Adversarial Capsule Network. - Jong Wook Kim, Justin Salamon, Peter Li, Juan Pablo Bello:
CREPE: A Convolutional Representation for Pitch Estimation. - Guy Bresler, Dheeraj Nagaraj:
Optimal Single Sample Tests for Structured versus Unstructured Network Data. - Murat Üney, Jérémie Houssineau, Emmanuel Delande, Simon J. Julier, Daniel E. Clark:
Fusion of finite set distributions: Pointwise consistency and global cardinality. - Justin Sunu, Blake Hunter, Allon G. Percus:
Unsupervised vehicle recognition using incremental reseeding of acoustic signatures. - Fan Zhou:
Nonparametric estimation of low rank matrix valued function. - Victor Chernozhukov, Kaspar Wüthrich, Yinchu Zhu:
Exact and Robust Conformal Inference Methods for Predictive Machine Learning With Dependent Data. - Luca Venturi, Afonso S. Bandeira, Joan Bruna:
Neural Networks with Finite Intrinsic Dimension have no Spurious Valleys. - Deepta Rajan, Jayaraman J. Thiagarajan:
A Generative Modeling Approach to Limited Channel ECG Classification. - Haoyu Fu, Yuejie Chi, Yingbin Liang:
Local Geometry of One-Hidden-Layer Neural Networks for Logistic Regression. - Adarsh Prasad, Arun Sai Suggala, Sivaraman Balakrishnan, Pradeep Ravikumar:
Robust Estimation via Robust Gradient Estimation. - Jonatha Anselmi, François Dufour:
Power-of-d-Choices with Memory: Fluid Limit and Optimality. - Nathanaël Fijalkow, Joël Ouaknine, Amaury Pouly, João Sousa Pinto, James Worrell:
On the Decidability of Reachability in Linear Time-Invariant Systems. - Randall Martyr, Benjamin Schäfer, Christian Beck, Vito Latora:
Control of active power for synchronization and transient stability of power grids. - Jarkko Kari, Ville Salo, Thomas Worsch:
Sequentializing cellular automata. - Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang:
Degeneration in VAE: in the Light of Fisher Information Loss. - Nathan Cordner:
Two Algorithms to Compute the Maximal Symmetry Group. - Jiantao Hu, Qian-Ming Zhang, Tao Zhou:
Segregation in Religion Networks. - Attila Szolnoki, Xiaojie Chen:
Environmental feedback drives cooperation in spatial social dilemmas. - D. Sapaev, D. Bulychkov, Farid M. Ablayev, Alexander Vasiliev, Mansur Ziatdinov:
Quantum-Assisted Blockchain. - Salim Arslan:
Connectivity-Driven Parcellation Methods for the Human Cerebral Cortex. - Frank Schoeneman, Varun Chandola, Nils Napp, Olga Wodo, Jaroslaw Zola:
Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes. - Mihaela Rosca, Balaji Lakshminarayanan, Shakir Mohamed:
Distribution Matching in Variational Inference. - Hong Xing, Liang Liu, Jie Xu, Arumugam Nallanathan:
Joint Task Assignment and Wireless Resource Allocation for Cooperative Mobile-Edge Computing. - Yunfei Teng, Anna Choromanska, Mariusz Bojarski:
Invertible Autoencoder for domain adaptation. - Hiroshi Saito, Tatsuaki Kimura:
Theoretical Framework for Estimating Target-Object Shape by Using Location-Unknown Mobile Distance Sensors. - Yi Zhou, Yingbin Liang, Huishuai Zhang:
Generalization Error Bounds with Probabilistic Guarantee for SGD in Nonconvex Optimization. - Qi Chang, Gene Cheung, Yao Zhao, Xiaolong Li, Rongrong Ni:
Non-Local Graph-Based Prediction For Reversible Data Hiding In Images. - Ayaka Sakata:
Estimator of Prediction Error Based on Approximate Message Passing for Penalized Linear Regression. - Ziping Zhao, Daniel P. Palomar:
MIMO Transmit Beampattern Matching Under Waveform Constraints. - Masaaki Harada, Ken Saito:
Binary linear complementary dual codes. - Amin Fehri, Santiago Velasco-Forero, Fernand Meyer:
Segmentation hiérarchique faiblement supervisée. - Roberto Calvo-Palomino, Fabio Ricciato, Blaz Repas, Domenico Giustiniano, Vincent Lenders:
Nanosecond-precision Time-of-Arrival Estimation for Aircraft Signals with low-cost SDR Receivers. - Amr Alexandari, Avanti Shrikumar, Anshul Kundaje:
Learning to Abstain via Curve Optimization. - Hanti Lin, Jiji Zhang:
How to Tackle an Extremely Hard Learning Problem: Learning Causal Structures from Non-Experimental Data without the Faithfulness Assumption or the Like. - Jonas Geiping, Michael Möller:
Composite Optimization by Nonconvex Majorization-Minimization. - Ilija Bogunovic, Junyao Zhao, Volkan Cevher:
Robust Maximization of Non-Submodular Objectives. - Géraud Sénizergues, Armin Weiß:
The isomorphism problem for finite extensions of free groups is in PSPACE. - Yancheng Yuan, Defeng Sun, Kim-Chuan Toh:
An Efficient Semismooth Newton Based Algorithm for Convex Clustering. - Venkata Sriram Siddhardh Nadendla, Cedric Langbort:
On Estimating Multi-Attribute Choice Preferences using Private Signals and Matrix Factorization. - Il Yong Chun, Jeffrey A. Fessler:
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery. - Cristina G. Fernandes, José Coelho de Pina, Jorge Luis Ramírez Alfonsín, Sinai Robins:
Cubic graphs, their Ehrhart quasi-polynomials, and a scissors congruence phenomenon. - Tamara Koljensic, Caslav Labudovic:
Comparison of threshold-based algorithms for sparse signal recovery. - Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
Algorithmic Information Dynamics of Persistent Patterns and Colliding Particles in the Game of Life. - Chao Sun, Xinwei Shen, Scott J. Moura:
Robust Optimal Eco-driving Control with Uncertain Traffic Signal Timing. - Sami El-Ferik, Hashim A. Hashim, Frank L. Lewis:
Neuro-adaptive distributed control with prescribed performance for the synchronization of unknown nonlinear networked systems. - Matthias Rauter, Daniel Winkler:
Predicting Natural Hazards with Neuronal Networks. - Massimo Stella, Emilio Ferrara, Manlio De Domenico:
Bots sustain and inflate striking opposition in online social systems. - Christopher Frederickson, Michael Moore, Glenn Dawson, Robi Polikar:
Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning. - Vladimir Shpilrain:
Problems in group theory motivated by cryptography. - Max Kochurov, Timur Garipov, Dmitry Podoprikhin, Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov:
Bayesian Incremental Learning for Deep Neural Networks. - Qiuyi Wu, Ernest Fokoué, Dhireesha Kudithipudi:
On the Statistical Challenges of Echo State Networks and Some Potential Remedies. - Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan:
Sample Complexity of Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization. - Cynthia Rudin, Yining Wang:
Direct Learning to Rank and Rerank. - Zura Kakushadze, Ronald P. Russo Jr.:
Blockchain: Data Malls, Coin Economies and Keyless Payments. - Kenji Kawaguchi, Yoshua Bengio:
Generalization in Machine Learning via Analytical Learning Theory. - Antonio Sodre:
Asymptotic efficiency of restart and checkpointing. - Pantelis-Rafail Vlachas, Wonmin Byeon, Zhong Yi Wan, Themistoklis P. Sapsis, Petros Koumoutsakos:
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks. - (Withdrawn) Adversarial classification: An adversarial risk analysis approach.
- Dirk van der Hoeven, Tim van Erven, Wojciech Kotlowski:
The Many Faces of Exponential Weights in Online Learning. - Kuize Zhang, Alessandro Giua:
On detectability of labeled Petri nets with inhibitor arcs. - Shengyu Zhu, Biao Chen, Pengfei Yang, Zhitang Chen:
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit. - Konrad Simon, Jörn Behrens:
Multiscale finite elements through advection-induced coordinates for transient advection-diffusion equations. - Gray C. Thomas, Luis Sentis:
Identifying H[infinity]-Models: An LMI Approach. - Xavier Allamigeon, Stéphane Gaubert, Ricardo D. Katz, Mateusz Skomra:
Condition numbers of stochastic mean payoff games and what they say about nonarchimedean semidefinite programming. - Elias Chaibub Neto:
Detecting Learning vs Memorization in Deep Neural Networks using Shared Structure Validation Sets. - Ritabrata Maiti:
Determining the best classifier for predicting the value of a boolean field on a blood donor database. - Jason M. Klusowski, Yihong Wu:
Counting Motifs with Graph Sampling. - Shima Bab Hadiashar, Ashwin Nayak, Renato Renner:
Communication Complexity of One-Shot Remote State Preparation. - El Mahdi El Mhamdi, Rachid Guerraoui, Alexandre Maurer, Vladislav Tempez:
Learning to Gather without Communication. - Alexander Zerrahn, Wolf-Peter Schill, Claudia Kemfert:
On the economics of electrical storage for variable renewable energy sources. - Samantha Samuelson, Insoon Yang:
Safety-Aware Optimal Control of Stochastic Systems Using Conditional Value-at-Risk. - El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault:
The Hidden Vulnerability of Distributed Learning in Byzantium. - Georgios Damaskinos, El Mahdi El Mhamdi, Rachid Guerraoui, Rhicheek Patra, Mahsa Taziki:
Asynchronous Byzantine Machine Learning. - Alex Endert, William Ribarsky, Cagatay Turkay, B. L. William Wong, Ian T. Nabney, Ignacio Díaz Blanco, Fabrice Rossi:
The State of the Art in Integrating Machine Learning into Visual Analytics. - Tobias Fischer, Ganapati Hegde, Frederic Matter, Marius Pesavento, Marc E. Pfetsch, Andreas M. Tillmann:
Joint Antenna Selection and Phase-Only Beamforming Using Mixed-Integer Nonlinear Programming. - Ryohei Hisano:
Learning Topic Models by Neighborhood Aggregation. - Nan Zhou, Li Zhang, Shijian Li, Zhijian Wang:
Algorithmic Collusion in Cournot Duopoly Market: Evidence from Experimental Economics. - Andre Wibisono:
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem. - Yana Liang, Jiali Cao, Xingfa Chen, Shiping Cai, Xiang Fan:
Linear complexity of Ding-Helleseth generalized cyclotomic sequences of order eight. - Hashim A. Hashim, Sami El-Ferik, Frank L. Lewis:
Adaptive synchronisation of unknown nonlinear networked systems with prescribed performance. - Kunal Garg, Dimitra Panagou:
New Results on Finite-Time Stability: Geometric Conditions and Finite-Time Controllers. - Nariman Farsad, Andrea Goldsmith:
Sliding Bidirectional Recurrent Neural Networks for Sequence Detection in Communication Systems. - (Withdrawn) Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity.
- Danial Dervovic, Mark Herbster, Peter Mountney, Simone Severini, Naïri Usher, Leonard Wossnig:
Quantum linear systems algorithms: a primer. - Jonathan Gillard, Konstantin Usevich:
Structured low-rank matrix completion for forecasting in time series analysis. - Suriya Gunasekar, Jason D. Lee, Daniel Soudry, Nathan Srebro:
Characterizing Implicit Bias in Terms of Optimization Geometry. - Moorad Alexanian, Vanik E. Mkrtchian:
Quantum entropy and polarization measurements of the two-photon system. - Kyongmin Yeo, Igor Melnyk:
Deep learning algorithm for data-driven simulation of noisy dynamical system. - Andrew Lithio, Ranjan Maitra:
An efficient k-means-type algorithm for clustering datasets with incomplete records. - Mohit Singh, Weijun Xie:
Approximate Positively Correlated Distributions and Approximation Algorithms for D-optimal Design. - Vasileios Tzoumas, Luca Carlone, George J. Pappas, Ali Jadbabaie:
Control and Sensing Co-design. - Lai Wei, Vaibhav Srivastava:
On Abruptly-Changing and Slowly-Varying Multiarmed Bandit Problems. - Yudong Chen, Yuejie Chi:
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation. - Viraj Shah, Chinmay Hegde:
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees. - Shengyu Zhu, Biao Chen, Zhitang Chen:
Exponentially Consistent Kernel Two-Sample Tests. - François Morain, Guénaël Renault, Benjamin Smith:
Deterministic factoring with oracles. - Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard:
Optimized Algorithms to Sample Determinantal Point Processes. - Yunlong Jiao, Jean-Philippe Vert:
The Weighted Kendall and High-order Kernels for Permutations. - Xavier Caruso, David Roe, Tristan Vaccon:
ZpL: a p-adic precision package. - Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran:
Adversarial Training for Probabilistic Spiking Neural Networks. - Iasson Karafyllis, Markos Papageorgiou:
Feedback Control of Scalar Conservation Laws with Application to Density Control in Freeways by Means of Variable Speed Limits. - Michele Donini, Luca Oneto, Shai Ben-David, John Shawe-Taylor, Massimiliano Pontil:
Empirical Risk Minimization under Fairness Constraints. - David Bergman, Merve Bodur, Carlos Cardonha, André A. Ciré:
Network Models for Multiobjective Discrete Optimization. - Jason P. Bell, Frédéric Chyzak, Michael Coons, Philippe Dumas:
Becker's conjecture on Mahler functions. - Gonzalo E. Mena, David Belanger, Scott W. Linderman, Jasper Snoek:
Learning Latent Permutations with Gumbel-Sinkhorn Networks. - Christopher Kacwin, Jens Oettershagen, Mario Ullrich, Tino Ullrich:
Numerical performance of optimized Frolov lattices in tensor product reproducing kernel Sobolev spaces. - Daryus Chandra, Panagiotis Botsinis, Zunaira Babar, Hung Viet Nguyen, Dimitrios Alanis, Soon Xin Ng, Lajos Hanzo:
A Quantum-Search-Aided Dynamic Programming Framework for Pareto Optimal Routing in Wireless Multihop Networks. - Dominik Budday, Sigrid Leyendecker, Henry van den Bedem:
Kinematic Flexibility Analysis: Hydrogen Bonding Patterns Impart a Spatial Hierarchy of Protein Motion. - Ramesh Johari, Sven Schmit:
Learning with Abandonment. - Rui Shu, Hung H. Bui, Hirokazu Narui, Stefano Ermon:
A DIRT-T Approach to Unsupervised Domain Adaptation. - Rajat Sen, Karthikeyan Shanmugam, Sanjay Shakkottai:
Contextual Bandits with Stochastic Experts. - Roman Novak, Yasaman Bahri, Daniel A. Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein:
Sensitivity and Generalization in Neural Networks: an Empirical Study. - N. Benjamin Erichson, Lionel Mathelin, Steven L. Brunton, J. Nathan Kutz:
Diffusion Maps meet Nyström. - Augustus Odena, Jacob Buckman, Catherine Olsson, Tom B. Brown, Christopher Olah, Colin Raffel, Ian J. Goodfellow:
Is Generator Conditioning Causally Related to GAN Performance? - Chen Xing, Devansh Arpit, Christos Tsirigotis, Yoshua Bengio:
A Walk with SGD. - Shashank Singh, Barnabás Póczos:
Minimax Distribution Estimation in Wasserstein Distance. - Gabriele Partel, Giorgia Milli, Carolina Wählby:
Improving Recall of In Situ Sequencing by Self-Learned Features and a Graphical Model. - Nicolas Papernot, Shuang Song, Ilya Mironov, Ananth Raghunathan, Kunal Talwar, Úlfar Erlingsson:
Scalable Private Learning with PATE. - Mingyi Hong, Jason D. Lee, Meisam Razaviyayn:
Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solutions for Nonconvex Distributed Optimization. - Anirban Chakraborti, Syed S. Husain, Joseph Whitmeyer:
A Model for Innovation Diffusion with Intergroup Suppression. - Yuzhe Ma, Robert Nowak, Philippe Rigollet, Xuezhou Zhang, Xiaojin Zhu:
Teacher Improves Learning by Selecting a Training Subset. - Vahid Nassajpour, Seyed Javad Akhtarshenas:
Measuring quantum discord using the most distinguishable steered states. - Yingfei Wang, Juliana Martins Do Nascimento, Warren B. Powell:
Dynamic Bidding for Advance Commitments in Truckload Brokerage Markets. - Teng Xiang, Jing Lu, Kai Chen:
Multi-channel Adaptive Dereverberation Tracing Abrupt Position Change of Target Speaker. - Zelin Wang, Jing Lu, Kai Chen:
Frequency domain TRINICON-based blind source separation method with multi-source activity detection for sparsely mixed signals. - Pavel E. Dvurechensky, Alexander V. Gasnikov, Eduard Gorbunov:
An Accelerated Method for Derivative-Free Smooth Stochastic Convex Optimization. - Scott Aaronson, Xinyi Chen, Elad Hazan, Ashwin Nayak:
Online Learning of Quantum States. - Uri Patish, Shimon Ullman:
Cakewalk Sampling. - Atsushi Nitanda, Taiji Suzuki:
Functional Gradient Boosting based on Residual Network Perception. - Aaditya Ramdas, Tijana Zrnic, Martin J. Wainwright, Michael I. Jordan:
SAFFRON: an adaptive algorithm for online control of the false discovery rate. - Guoxiang Zhao, Minghui Zhu:
Pareto optimal multi-robot motion planning. - Carlos Riquelme, George Tucker, Jasper Snoek:
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling. - Woo Yong Choi, Kyu Ye Song, Chan Woo Lee:
AI4AI: Quantitative Methods for Classifying Host Species from Avian Influenza DNA Sequence. - Michael Unser:
A representer theorem for deep neural networks. - Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot:
Data-Driven Source Separation Based on Simplex Analysis. - Xin He, Junhui Wang, Shaogao Lv:
Scalable kernel-based variable selection with sparsistency. - Amin Coja-Oghlan, Tobias Kapetanopoulos, Noëla Müller:
The replica symmetric phase of random constraint satisfaction problems. - Atrayee Majumder, Rogers Mathew, Deepak Rajendraprasad:
Dimension of CPT posets. - Wahyu Caesarendra, Mahardhika Pratama, Tegoeh Tjahjowidodo, Kiet Tieu, Buyung Kosasih:
Parsimonious Network based on Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis. - Ismini Psychoula, Erinc Merdivan, Deepika Singh, Liming Chen, Feng Chen, Sten Hanke, Johannes Kropf, Andreas Holzinger, Matthieu Geist:
A Deep Learning Approach for Privacy Preservation in Assisted Living. - Thierry Dumas, Aline Roumy, Christine Guillemot:
Autoencoder based image compression: can the learning be quantization independent? - Beyrem Khalfaoui, Jean-Philippe Vert:
DropLasso: A robust variant of Lasso for single cell RNA-seq data. - Clément Feutry, Pablo Piantanida, Yoshua Bengio, Pierre Duhamel:
Learning Anonymized Representations with Adversarial Neural Networks. - Mark Whitmeyer:
Persuading Perceval; Information Provision in a Sequential Search Setting. - Gabriel Meyer Salomão, André Barreira da Silva Rocha:
Environmental Policy Regulation and Corporate Compliance in a Spatial Evolutionary Game Model. - Can Zhao, Aaron Carass, Blake E. Dewey, Jerry L. Prince:
Self Super-Resolution for Magnetic Resonance Images using Deep Networks. - Valentin Thomas, Emmanuel Bengio, William Fedus, Jules Pondard, Philippe Beaudoin, Hugo Larochelle, Joelle Pineau, Doina Precup, Yoshua Bengio:
Disentangling the independently controllable factors of variation by interacting with the world. - Grzegorz Gutowski, Konstanty Junosza-Szaniawski, Patryk Mikos, Adam Polak, Joanna Sokól:
Online Coloring of Short Intervals. - Amin Jalali, Rebecca Willett:
Missing Data in Sparse Transition Matrix Estimation for Sub-Gaussian Vector Autoregressive Processes. - Nina Grgic-Hlaca, Elissa M. Redmiles, Krishna P. Gummadi, Adrian Weller:
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction. - Yining Wang, Yi Wu, Simon S. Du:
Near-Linear Time Local Polynomial Nonparametric Estimation. - Fuhui Zhou, Zheng Chu, Haijian Sun, Rose Qingyang Hu, Lajos Hanzo:
Artificial Noise Aided Secure Cognitive Beamforming for Cooperative MISO-NOMA Using SWIPT. - Mursel Tasgin, Haluk O. Bingol:
Community detection using boundary nodes in complex networks. - Yi-Wen Liao, Selina Pan, Francesco Borrelli, J. Karl Hedrick:
Adaptive sliding mode control without knowledge of uncertainty bounds. - Lei Wu, Zhanxing Zhu, Cheng Tai, Weinan E:
Understanding and Enhancing the Transferability of Adversarial Examples. - Aldo Pacchiano, Niladri S. Chatterji, Peter L. Bartlett:
Online learning with kernel losses. - Cong Fang, Yameng Huang, Zhouchen Lin:
Accelerating Asynchronous Algorithms for Convex Optimization by Momentum Compensation. - Huishuai Zhang, Wei Chen, Tie-Yan Liu:
Train Feedfoward Neural Network with Layer-wise Adaptive Rate via Approximating Back-matching Propagation. - Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang:
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. - Niko Brummer, Anna Silnova, Lukás Burget, Themos Stafylakis:
Gaussian meta-embeddings for efficient scoring of a heavy-tailed PLDA model. - Michael Golosovsky:
Preferential attachment mechanism of complex network growth: "rich-gets-richer" or "fit-gets-richer"? - Antonio Cossidente, Francesco Pavese, Leo Storme:
Optimal subspace codes in PG(4, q). - Shaoshi Chen:
How to generate all possible rational Wilf-Zeilberger pairs? - Francesco Verdoja, Marco Grangetto:
Graph-based Image Anomaly Detection. - Giacomo Rapisardi, Alex Arenas, Guido Caldarelli, Giulio Cimini:
Multiple structural transitions in interacting networks. - Frank Z. Xing, Erik Cambria, Lorenzo Malandri, Carlo Vercellis:
Discovering Bayesian Market Views for Intelligent Asset Allocation. - Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida:
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. - Carey Caginalp, Gunduz Caginalp:
Valuation, Liquidity Price, and Stability of Cryptocurrencies. - Cheng Mao, Ashwin Pananjady, Martin J. Wainwright:
Breaking the 1/√n Barrier: Faster Rates for Permutation-based Models in Polynomial Time. - Torsten Mütze, Bartosz Walczak, Veit Wiechert:
Realization of shift graphs as disjointness graphs of 1-intersecting curves in the plane. - Jeffrey Pennington, Samuel S. Schoenholz, Surya Ganguli:
The Emergence of Spectral Universality in Deep Networks. - J. Christopher Westland, Tuan Quang Phan, Tianhui Tan:
Private Information, Credit Risk and Graph Structure in P2P Lending Networks. - Shelby Kimmel, Shimon Kolkowitz:
No-go for quantum seals. - Timur Garipov, Pavel Izmailov, Dmitrii Podoprikhin, Dmitry P. Vetrov, Andrew Gordon Wilson:
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs. - Adam Glos, Jaroslaw Adam Miszczak:
Impact of the malicious input data modification on the efficiency of quantum algorithms. - Jaejun Yoo, Abdul Wahab, Jong Chul Ye:
A Mathematical Framework for Deep Learning in Elastic Source Imaging. - Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill:
Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version]. - Étienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Marta de Frutos, Nicolas Dobigeon:
Reconstruction of partially sampled multi-band images - Application to STEM-EELS imaging. - Jun Aoyagi, Daisuke Adachi:
Fundamental Values of Cryptocurrencies and Blockchain Technology. - Randall Balestriero, Hervé Glotin, Richard G. Baraniuk:
Semi-Supervised Learning Enabled by Multiscale Deep Neural Network Inversion. - Gray C. Thomas, Binghan He, Luis Sentis:
Safety Control Synthesis with Input Limits: a Hybrid Approach. - Chaoyue Liu, Mikhail Belkin:
Parametrized Accelerated Methods Free of Condition Number. - Massimo Stella, Manlio De Domenico:
Distance entropy cartography characterises centrality in complex networks. - Songtao Lu, Mingyi Hong, Zhengdao Wang:
On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions. - Chuan Zhang, Xiao Liang, Zhizhen Wu, Feng Wang, Shunqing Zhang, Zaichen Zhang, Xiaohu You:
On the Low-Complexity, Hardware-Friendly Tridiagonal Matrix Inversion for Correlated Massive MIMO Systems. - Diederik Aerts, Massimiliano Sassoli de Bianchi, Sandro Sozzo, Tomas Veloz:
Quantum cognition goes beyond-quantum: modeling the collective participant in psychological measurements. - Jianwei Zhao, Hongxiang Xie, Feifei Gao, Weimin Jia, Shi Jin, Hai Lin:
Time Varying Channel Tracking with Spatial and Temporal BEM for Massive MIMO Systems. - Andrew K. Massimino, Mark A. Davenport:
As you like it: Localization via paired comparisons. - Yu-Siang Huang, Szu-Yu Chou, Yi-Hsuan Yang:
Pop Music Highlighter: Marking the Emotion Keypoints. - Jeremy Aghaei Mazaheri, Elif Vural, Claude Labit, Christine Guillemot:
Learning Discriminative Multilevel Structured Dictionaries for Supervised Image Classification. - Andrey Malinin, Mark J. F. Gales:
Predictive Uncertainty Estimation via Prior Networks. - Mohammad M. Sultan, Vijay S. Pande:
Decision functions from supervised machine learning algorithms as collective variables for accelerating molecular simulations. - Trisha Lawrence:
Stochastic Dynamic Programming Heuristics for Influence Maximization-Revenue Optimization. - Simon Michalowsky, Bahman Gharesifard, Christian Ebenbauer:
On the Lie bracket approximation approach to distributed optimization: Extensions and limitations. - Jake A. Smith, Lev Kaplan:
Approaching near-perfect state discrimination of photonic Bell states through the use of unentangled ancilla photons. - Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell:
Memory-based Parameter Adaptation. - Maria d'Errico, Elena Facco, Alessandro Laio, Alex Rodriguez:
Automatic topography of high-dimensional data sets by non-parametric Density Peak clustering. - Martin A. Riedmiller, Roland Hafner, Thomas Lampe, Michael Neunert, Jonas Degrave, Tom Van de Wiele, Volodymyr Mnih, Nicolas Heess, Jost Tobias Springenberg:
Learning by Playing - Solving Sparse Reward Tasks from Scratch. - Timothy Carpenter, Ilias Diakonikolas, Anastasios Sidiropoulos, Alistair Stewart:
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities. - Martin Treppner, Stefan Lenz, Harald Binder, Daniela Zöller:
Modeling Activity Tracker Data Using Deep Boltzmann Machines. - Amir Ghasemian, Homa Hosseinmardi, Aaron Clauset:
Evaluating Overfit and Underfit in Models of Network Community Structure. - Sunli Tang, Carlos Fernandez-Granda, Sylvain Lannuzel, Brett Bernstein, Riccardo Lattanzi, Martijn A. Cloos, Florian Knoll, Jakob Assländer:
Multicompartment Magnetic Resonance Fingerprinting. - Jason M. Altschuler, Victor-Emmanuel Brunel, Alan Malek:
Best Arm Identification for Contaminated Bandits. - Florian Wenzel, Théo Galy-Fajou, Christian Donner, Marius Kloft, Manfred Opper:
Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation. - Yadong Wu, Pengfei Zhang, Huitao Shen, Hui Zhai:
Visualizing Neural Network Developing Perturbation Theory. - Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance. - Matteo Giacomini, Alexandros Karkoulias, Rubén Sevilla, Antonio Huerta:
A superconvergent HDG method for Stokes flow with strongly enforced symmetry of the stress tensor. - Nader H. Bshouty, Vivian E. Bshouty-Hurani, George Haddad, Thomas Hashem, Fadi Khoury, Omar Sharafy:
Elementary Proofs of Some Stirling Bounds. - Lucy Xia, Richard Zhao, Yanhui Wu, Xin Tong:
Intentional Control of Type I Error over Unconscious Data Distortion: a Neyman-Pearson Approach to Text Classification.
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