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ORCIDCoRR, August 2019
- Matthias Miller, Alexandra Bonnici, Mennatallah El-Assady:
Augmenting Music Sheets with Harmonic Fingerprints. - Chiho Choi, Abhishek Patil, Srikanth Malla:
DROGON: A Causal Reasoning Framework for Future Trajectory Forecast. - Nursadul Mamun, Ria Ghosh, John H. L. Hansen:
Quantifying Cochlear Implant Users' Ability for Speaker Identification using CI Auditory Stimuli. - Quoc Thong Le Gia, Ming Li, Yu Guang Wang
:
FaVeST: Fast Vector Spherical Harmonic Transforms. - Itay Safran, Ohad Shamir:
How Good is SGD with Random Shuffling? - Berkan Demirel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis:
Image Captioning with Unseen Objects. - Chen Kong, Simon Lucey:
Deep Non-Rigid Structure from Motion. - Ramses van Zon, Marcelo Ponce:
Software-Enhanced Teaching and Visualization Capabilities of an Ultra-High-Resolution Video Wall. - Yu Chen, Lingfei Wu, Mohammed J. Zaki:
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension. - Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal, Doina Precup:
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation. - Hassan Khosravian-Arab, Mohammad Reza Eslahchi:
Müntz Sturm-Liouville Problems: Theory and Numerical Experiments. - Ellen Gasparovic, Elizabeth Munch, Steve Oudot, Katharine Turner, Bei Wang, Yusu Wang:
Intrinsic Interleaving Distance for Merge Trees. - Diego Rafael Lucio, Rayson Laroca, Luiz A. Zanlorensi, Gladston Moreira, David Menotti:
Simultaneous Iris and Periocular Region Detection Using Coarse Annotations. - Jens Adamczak, Gerard Paul Leyson, Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Julia Neidhardt, Wolfgang Wörndl, Philipp Monreal:
Session-Based Hotel Recommendations: Challenges and Future Directions. - Cindy Xiong, Cristina R. Ceja, Casimir J. H. Ludwig, Steven Franconeri:
Biased Average Position Estimates in Line and Bar Graphs: Underestimation, Overestimation, and Perceptual Pull. - M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou, Nazar Khan, Ganesh Ananthanarayanan, Faraz Hussain:
Machine Learning at the Network Edge: A Survey. - Ana Lucic, Hinda Haned, Maarten de Rijke:
Contrastive Explanations for Large Errors in Retail Forecasting Predictions through Monte Carlo Simulations. - Guowei Xu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study. - Thilo Spinner, Udo Schlegel, Hanna Schäfer, Mennatallah El-Assady:
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning. - Dina Barak-Pelleg, Daniel Berend, John C. Saunders:
A Model of Random Industrial SAT. - Amir Khazraei, Hamed Kebriaei, Farzad Rajaei Salmasi:
An Optimal Linear Dynamic Detection Method for Replay Attack in Cyber-Physical Systems. - Ming Kawaguchi, Jingmei Hu, Eric Lu, David A. Holland, Stephen Chong, Margo I. Seltzer:
Aquarium Technical Report Preprint. - Christina Göpfert, Jan Philip Göpfert, Barbara Hammer:
Adversarial Robustness Curves. - Tarang Chugh, Anil K. Jain:
OCT Fingerprints: Resilience to Presentation Attacks. - Joaquín Arias, Manuel Carro:
Evaluation of the Implementation of an Abstract Interpretation Algorithm using Tabled CLP. - Leslie Casas, Gustavo Carneiro, Nassir Navab, Vasileios Belagiannis:
Few-Shot Meta-Denoising. - David Spies, Jia-Huai You, Ryan Hayward:
Domain-Independent Cost-Optimal Planning in ASP. - Lin Yan, Yusu Wang, Elizabeth Munch, Ellen Gasparovic, Bei Wang:
A Structural Average of Labeled Merge Trees for Uncertainty Visualization. - Yi Xu, Shanglin Yang, Wei Sun, Li Tan, Kefeng Li, Hui Zhou:
3D Virtual Garment Modeling from RGB Images. - Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker:
ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences. - James Dallas, Kshitij Jain, Zheng Dong, Michael P. Cole, Paramsothy Jayakumar, Tulga Ersal:
Online terrain estimation for autonomous vehicles on deformable terrains. - Max Reuter, Gheorghe-Teodor Bercea:
Sublinear Subwindow Search. - Ahmad Khaled Zarabie, Sanjoy Das:
An L0-Norm Constrained Non-Negative Matrix Factorization Algorithm for the Simultaneous Disaggregation of Fixed and Shiftable Loads. - Mansura A. Khan, Ellen Rushe, Barry Smyth, David Coyle:
Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach. - Rodrigo Rebouças de Almeida, Christoph Treude, Uirá Kulesza:
Tracy: A Business-driven Technical Debt Prioritization Framework. - Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Rudolph Triebel:
Multi-path Learning for Object Pose Estimation Across Domains. - Nuha Albadi, Maram Kurdi, Shivakant Mishra:
Hateful People or Hateful Bots? Detection and Characterization of Bots Spreading Religious Hatred in Arabic Social Media. - Hrushikesh N. Mhaskar:
Deep Gaussian networks for function approximation on data defined manifolds. - Nengkun Yu:
Quantum Temporal Logic. - Heng-Zhao Ma, Jianzhong Li:
A True O(n log{n}) Algorithm for the All-k-Nearest-Neighbors Problem. - Haris Aziz, Xin Huang, Nicholas Mattei, Erel Segal-Halevi:
The Constrained Round Robin Algorithm for Fair and Efficient Allocation. - Xiang Niu, György Korniss, Boleslaw K. Szymanski:
Supervised Learning of the Global Risk Network Activation from Media Event Reports. - Song Chen, Mengke Ge, Zhigang Li, Jinglei Huang, Qi Xu, Feng Wu:
Generalized Fault-Tolerance Topology Generation for Application Specific Network-on-Chips. - Runfan Zhang, Branislav Hredzak:
Remote-Strong-Grid-Point-Based Synchronization Strategy with Fault Ride-Through Capability for Distributed Energy Resources Connected to Weak Grids. - Yadan Luo, Zi Huang, Zheng Zhang, Jingjing Li, Yang Yang:
Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation. - Xucheng Ye, Jianlei Yang, Pengcheng Dai, Yiran Chen, Weisheng Zhao:
Accelerating CNN Training by Sparsifying Activation Gradients. - Yongsu Ahn, Yu-Ru Lin:
FairSight: Visual Analytics for Fairness in Decision Making. - Tommy Tram, Ivo Batkovic, Mohammad Ali, Jonas Sjöberg:
Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control. - Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid:
Scalable Place Recognition Under Appearance Change for Autonomous Driving. - Zhuochen Jin, Nan Cao, Yang Shi, Hanghang Tong, Yingcai Wu:
EcoLens: Visual Analysis of Urban Region Dynamics Using Traffic Data. - Carmen Leticia García-Mata, Pedro Rafael Márquez-Gutiérrez:
Solving a Flowshop Scheduling Problem with Answer Set Programming: Exploiting the Problem to Reduce the Number of Combinations. 347-353 - Anders Christian Hansen, Laura Thesing:
On the stable sampling rate for binary measurements and wavelet reconstruction. - Jiawei Zhang:
Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview. - Anwesan Pal, Carlos Nieto-Granda, Henrik I. Christensen:
DEDUCE: Diverse scEne Detection methods in Unseen Challenging Environments. - Jagoda Walny, Christian Frisson, Mieka West, Doris Kosminsky, Søren Knudsen, Sheelagh Carpendale, Wesley Willett:
Data Changes Everything: Challenges and Opportunities in Data Visualization Design Handoff. - Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam:
Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT. - Cheng-Shang Chang, Jang-Ping Sheu:
An Asymptotically Optimal Channel Hopping Sequence with Maximum Rendezvous Diversity. - Edward Raff, William Fleming, Richard Zak, Hyrum S. Anderson, Bill Finlayson, Charles Nicholas, Mark McLean:
KiloGrams: Very Large N-Grams for Malware Classification. - Shaoyi Peng, Sheldon X.-D. Tan:
GLU3.0: Fast GPU-based Parallel Sparse LU Factorization for Circuit Simulation. - Shan Xue, Jie Lu, Guangquan Zhang:
Cross-domain Network Representations. - Georg Schnabel:
A computational EXFOR database. - Chase Cook, Wentian Jin, Sheldon X.-D. Tan:
GPU-based Ising Computing for Solving Balanced Min-Cut Graph Partitioning Problem. - Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao:
Generative Image Inpainting with Submanifold Alignment. - Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent:
Chainer: A Deep Learning Framework for Accelerating the Research Cycle. - Cindy Xiong, Joel Shapiro, Jessica Hullman, Steven Franconeri:
Illusion of Causality in Visualized Data. - Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider, David Bradley, Nemanja Djuric:
Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories. - Ragini Rathore, Zachary Leggon, Laurent Lessard, Karen B. Schloss:
Estimating Color-Concept Associations from Image Statistics. - Sainul Islam Ansary, Sankha Deb, Alok Kanti Deb:
Automatic pre-grasps generation for unknown 3D objects. - Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou:
Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling. - Tingzhen Xu, Linlin Sun, Shihao Yan, Jinsong Hu, Feng Shu:
Pilot-Based Channel Estimation Design in Covert Wireless Communication. - Anna R. Karlin, Nathan Klein, Shayan Oveis Gharan:
An Improved Approximation Algorithm for TSP in the Half Integral Case. - Hrishikesh Kulkarni, Bradly Alicea:
Cultural association based on machine learning for team formation. - Xian-Ming Gu, Siu-Long Lei, Ke Zhang, Zhao-Li Shen, Chun Wen, Bruno Carpentieri:
A Hessenberg-type Algorithm for Computing PageRank Problems. - Hsin-Hao Su, Hoa T. Vu:
Distributed Data Summarization in Well-Connected Networks. - Denis Spiridonov, Maria V. Vasilyeva, Eric T. Chung:
Generalized Multiscale Finite Element method for multicontinua unsaturated flow problems in fractured porous media. - Jing Wang, Yingwei Pan, Ting Yao, Jinhui Tang, Tao Mei:
Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation. - Michael Griebel, Guanglian Li:
On the Numerical Approximation of the Karhunen-Loève Expansion for Lognormal Random Fields. - Bruno Ferrarini, Maria Waheed, Sania Waheed, Shoaib Ehsan, Michael Milford, Klaus D. McDonald-Maier:
Visual Place Recognition for Aerial Robotics: Exploring Accuracy-Computation Trade-off for Local Image Descriptors. - Mohsen Ghodrat, Horacio J. Marquez:
Event-Triggered Design with Guaranteed Minimum Inter-Event Times and Lp Performance. - Alekh Agarwal, Sham M. Kakade, Jason D. Lee, Gaurav Mahajan:
Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes. - Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim:
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. - David B. Blumenthal:
New Techniques for Graph Edit Distance Computation. - Yiyun Zhao, Zhuqing Jiang, Aidong Men, Guodong Ju:
Pyramid Real Image Denoising Network. - M. Saquib Sarfraz, Constantin Seibold, Haroon Khalid, Rainer Stiefelhagen:
Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss. - Minjie Hua, Yibing Nan, Shiguo Lian:
Falls Prediction Based on Body Keypoints and Seq2Seq Architecture. - Zhaosong Huang, Ye Zhao, Wei Chen, Shengjie Gao, Kejie Yu, Weixia Xu, Mingjie Tang, Minfeng Zhu, Mingliang Xu:
A Natural-language-based Visual Query Approach of Uncertain Human Trajectories. - Kenji Fukushima, Shotaro Shiba Funai, Hideaki Iida:
Featuring the topology with the unsupervised machine learning. - Floris den Hengst, Mark Hoogendoorn, Frank van Harmelen, Joost Bosman:
Reinforcement Learning for Personalized Dialogue Management. - Serhii Nazarovets, Alexey Skalaban:
Plan S. Pardon impossible to execute. - N. Prasad, Navonil Chatterjee, Santanu Chattopadhyay, Indrajit Chakrabarti:
Runtime Mitigation of Packet Drop Attacks in Fault-tolerant Networks-on-Chip. - Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji, Haiqing Chen:
Simple and Effective Text Matching with Richer Alignment Features. - Yilun Liu, Lidong Zhu:
General Information Theory: Time and Information. - Zili Wang:
MSnet: A BERT-based Network for Gendered Pronoun Resolution. - Rômulo T. Rodrigues, Pedro Miraldo, Dimos V. Dimarogonas, A. Pedro Aguiar:
A Framework for Depth Estimation and Relative Localization of Ground Robots using Computer Vision. - Buddhika Nettasinghe, Vikram Krishnamurthy:
Maximum likelihood estimation of power-law degree distributions using friendship paradox based sampling. - Maksim Jenihhin, Xinhui Lai, Tara Ghasempouri, Jaan Raik:
Towards Multidimensional Verification: Where Functional Meets Non-Functional. - Avishek Garain, Sainik Kumar Mahata:
Sentiment Analysis at SEPLN (TASS)-2019: Sentiment Analysis at Tweet level using Deep Learning. - Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay:
JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English. - Mengmeng Ge, Jin-Hee Cho, Charles A. Kamhoua, Dong Seong Kim:
Optimal Deployments of Defense Mechanisms for the Internet of Things. - Mengmeng Ge, Jin-Hee Cho, Bilal Ishfaq, Dong Seong Kim:
Modeling and Analysis of Integrated Proactive Defense Mechanisms for Internet-of-Things. - Jin Hyeok Yoo, SeongHyeon Park, Jun Won Choi:
ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection. - Nao Mishima, Tatsuo Kozakaya, Akihisa Moriya, Ryuzo Okada, Shinsaku Hiura:
Physical Cue based Depth-Sensing by Color Coding with Deaberration Network. - Robert Altmann, Patrick Henning, Daniel Peterseim:
The J-method for the Gross-Pitaevskii eigenvalue problem. - Eleni Michailidi, Ioannis A. Skordas, Maria Papatsimouli, Lazaros Lazaridis, Heracles Michailidis, Stavroula Tavoultzidou, George F. Fragulis:
GrfKids: Development of a Greek language teaching platform via a Learning Management System for primary school pupils with Russian as a mother tongue. - Ioannis T. Christou:
Popt4jlib: A Parallel/Distributed Optimization Library for Java. - Daniel Omeiza:
Efficient Machine Learning for Large-Scale Urban Land-Use Forecasting in Sub-Saharan Africa. - Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis E. H. Tay, Jiashi Feng:
Central Similarity Hashing via Hadamard matrix. - Jean Cardinal, Aurélien Ooms:
Sparse Regression via Range Counting. - Guido Brückner, Markus Himmel, Ignaz Rutter:
An SPQR-Tree-Like Embedding Representation for Upward Planarity. - Dan Teng, Sakyasingha Dasgupta:
Continual Learning via Online Leverage Score Sampling. - Zitao Liu, Guowei Xu, Tianqiao Liu, Weiping Fu, Wenbiao Ding, Yujia Song, Chaoyou Guo, Cong Kong, Gale Yan Huang:
Dolphin: A Verbal Fluency Evaluation System for Elementary Education. - Ludovic Chamoin, Frédéric Legoll:
Goal-oriented error estimation and adaptivity in MsFEM computations. - Dingquan Li, Tingting Jiang, Ming Jiang:
Quality Assessment of In-the-Wild Videos. - Sebastian Cmentowski, Andrey Krekhov, Jens H. Krüger:
Outstanding: A Multi-Perspective Travel Approach for Virtual Reality Games. - Zhuo Li, Keyou You, Shiji Song, Anke Xue:
Optimization-based Control for Bearing-only Target Search with a Mobile Vehicle. - Sergey P. Morozov, A. V. Vladzymyrskyy, V. G. Klyashtornyy, Anna E. Andreychenko, Nicholas S. Kulberg, V. A. Gombolevsky:
Clinical acceptance of software based on artificial intelligence technologies (radiology). - Pingping Zhang, Wei Liu, Yinjie Lei, Huchuan Lu, Xiaoyun Yang:
Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion. - Pritam Sarkar, Kyle Ross, Aaron J. Ruberto, Dirk Rodenburg, Paul Hungler, Ali Etemad:
Classification of Cognitive Load and Expertise for Adaptive Simulation using Deep Multitask Learning. - Dylan Cashman, Adam Perer, Remco Chang, Hendrik Strobelt:
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures. - Nicolò Ruggeri, Caterina De Bacco:
Sampling on networks: estimating eigenvector centrality on incomplete graphs. - Minkesh Asati, Worranitta Kraisittipong, Taizo Miyachi:
Extract and Merge: Merging extracted humans from different images utilizing Mask R-CNN. - Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda, Álvaro Porras:
EV-Fleet Power Forecasting via Kernel-Based Inverse Optimization. - Yating Wei, Honghui Mei, Ying Zhao, Shuyue Zhou, Bingru Lin, Haojing Jiang, Wei Chen:
Evaluating Perceptual Bias During Geometric Scaling of Scatterplots. - Holger Ingmar Meinhardt:
Deduction Theorem: The Problematic Nature of Common Practice in Game Theory. - Hoyeop Lee, Jinbae Im, Seongwon Jang, Hyunsouk Cho, Sehee Chung:
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation. - Gonzalo de la Torre-Abaitua, Luis Fernando Lago-Fernández, David Arroyo:
A compression based framework for the detection of anomalies in heterogeneous data sources. - Hui Li, Jiangxing Wu, Xin Yang, Han Wang, Julong Lan, Ke Xu, Yunyong Zhang, Jinwu Wei, Shisheng Chen, Wei Liang, Fusheng Zhu, Yiqin Lu, Wai Ho Mow, Wai-Ho Yeung, Zefeng Zheng, Peng Yi, Xinsheng Ji, Qinrang Liu, Wei Li, Kaiyan Tian, Jiang Zhu, Jiaxing Song, Yijun Liu, Junfeng Ma, Jiawei Hu, Rui Xu, Jiansen Huang, Guohua Wei, Jiuhua Qi, Ting Huang, Kaixuan Xing:
MIN: Co-Governing Multi-Identifier Network Architecture and its Prototype on Operator's Network. - Derek G. Bridge, Mesut Kaya, Pablo Castells:
Sudden Death: A New Way to Compare Recommendation Diversification. - Jing Li, Alexandre M. Tartakovsky:
Gaussian Process Regression and Conditional Polynomial Chaos for Parameter Estimation. - Georgia Avarikioti, Lukas Kaeppeli, Yuyi Wang, Roger Wattenhofer:
Bitcoin Security under Temporary Dishonest Majority. - Georgia Avarikioti, Kenan Besic, Yuyi Wang, Roger Wattenhofer:
Online Payment Network Design. - Georgia Avarikioti, Rolf Scheuner, Roger Wattenhofer:
Payment Networks as Creation Games. - Valentin Gabeur, Jean-Sébastien Franco, Xavier Martin, Cordelia Schmid, Grégory Rogez:
Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Images. - Luís Caires, Bernardo Toninho:
Refinement Kinds: Type-safe Programming with Practical Type-level Computation (Extended Version). - Nicolas Marchal, Charlotte Moraldo, Roland Siegwart, Hermann Blum, Cesar Cadena, Abel Gawel:
Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes. - Jacob Harer, Christopher P. Reale, Peter Chin:
Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data. - Abdullo Rakhmonovich Hayotov, Rashidjon G. Rasulov:
The order of convergence of an optimal quadrature formula with derivative in the space W2(2, 1). - Alexandre M. Ribeiro, Alexandra Moutinho, André R. Fioravanti, Ely Carneiro de Paiva:
Estimation of Tire-Road Friction for Autonomous Vehicles: a Neural Network Approach. - Jack Bandy, Nicholas Diakopoulos:
Auditing News Curation Systems: A Case Study Examining Algorithmic and Editorial Logic in Apple News. - Igor Vasiljevic, Nicholas I. Kolkin, Shanyi Zhang, Ruotian Luo, Haochen Wang, Falcon Z. Dai, Andrea F. Daniele, Mohammadreza Mostajabi, Steven Basart, Matthew R. Walter, Gregory Shakhnarovich:
DIODE: A Dense Indoor and Outdoor DEpth Dataset. - Xiaolu Lu, Soumajit Pramanik, Rishiraj Saha Roy, Abdalghani Abujabal, Yafang Wang, Gerhard Weikum:
Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs. - Prosper Torsu:
On variational iterative methods for semilinear problems. - Pengyi Zhang, Yunxin Zhong, Yulin Deng, Xiaoying Tang, Xiaoqiong Li:
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis. - Mennatallah El-Assady, Rebecca Kehlbeck, Christopher Collins, Daniel A. Keim, Oliver Deussen:
Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections. - HungYueh Chiang, Yen-Liang Lin, Yueh-Cheng Liu, Winston H. Hsu:
A Unified Point-Based Framework for 3D Segmentation. - Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda:
How Can Smart Buildings Be Price-Responsive? - Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang:
Learning to Adapt Invariance in Memory for Person Re-identification. - Konrad K. Dabrowski, Carl Feghali, Matthew Johnson, Giacomo Paesani, Daniël Paulusma, Pawel Rzazewski:
On Cycle Transversals and Their Connected Variants in the Absence of a Small Linear Forest. - Mohamed El-Geish:
Learning Joint Acoustic-Phonetic Word Embeddings. - Georg Regal, David Sellitsch, Elke E. Mattheiss, Manfred Tscheligi:
POINTS - Playful objects for inclusive, personalized movement games. - Lu Chi, Guiyu Tian, Yadong Mu, Qi Tian:
Two-Stream Video Classification with Cross-Modality Attention. - David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein:
Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters. - Ting Li, Xianshi Yu, Bing-Yi Jing:
Measuring the Clustering Strength of a Network via the Normalized Clustering Coefficient. - Michelle Valente, Cyril Joly, Arnaud de La Fortelle:
Deep Sensor Fusion for Real-Time Odometry Estimation. - Dung T. Phan, Nicola Paoletti, Radu Grosu, Nils Jansen, Scott A. Smolka, Scott D. Stoller:
Neural Simplex Architecture. - Ziran Wang, Yuan-Pu Hsu, Alexander Vu, Francisco Caballero, Peng Hao, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth, Aravind Kailas, Pascal Amar, Eddie Garmon, Sandeep Tanugula:
Early Findings from Field Trials of Heavy-Duty Truck Connected Eco-Driving System. - Kyle Wm. Hall, Adam James Bradley, Uta Hinrichs, Samuel Huron, Jo Wood, Christopher Collins, Sheelagh Carpendale:
Design by Immersion: A Transdisciplinary Approach to Problem-Driven Visualizations. - J. Ian Munro, Richard Peng, Sebastian Wild, Lingyi Zhang:
Dynamic Optimality Refuted - For Tournament Heaps. - Zhouqiao Zhao, Ziran Wang, Guoyuan Wu, Fei Ye, Matthew J. Barth:
The State-of-the-Art of Coordinated Ramp Control with Mixed Traffic Conditions. - Tamir Bendory, Alberto Bartesaghi, Amit Singer:
Single-particle cryo-electron microscopy: Mathematical theory, computational challenges, and opportunities. - Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas:
StructureNet: Hierarchical Graph Networks for 3D Shape Generation. - Matthias Miller, Xuan Zhang, Johannes Fuchs, Michael Blumenschein:
Evaluating Ordering Strategies of Star Glyph Axes. - Jorge A. Wagner Filho, Wolfgang Stuerzlinger, Luciana P. Nedel:
Evaluating an Immersive Space-Time Cube Geovisualization for Intuitive Trajectory Data Exploration. - Lindsey Sawatzky, Steven Bergner, Fred Popowich:
Visualizing RNN States with Predictive Semantic Encodings. - Gustavo Betarte, Maximiliano Cristiá, Carlos Luna, Adrián Silveira, Dante Zanarini:
Set-Based Models for Cryptocurrency Software. - Talha Ongun, Oliver Spohngellert, Alina Oprea, Cristina Nita-Rotaru, Mihai Christodorescu, Negin Salajegheh:
The House That Knows You: User Authentication Based on IoT Data. - Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari:
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation. - Gonzalo Gabriel Méndez, Jagoda Walny, Søren Knudsen, Charles Perin, Samuel Huron, Jo Vermeulen, Richard Pusch, Sheelagh Carpendale:
ReConstructor: A Scalable Constructive Visualization Tool. - Daniel Weiskopf:
Vis4Vis: Visualization for (Empirical) Visualization Research. - David N. Palacio, Daniel McCrystal, Kevin Moran, Carlos Bernal-Cárdenas, Denys Poshyvanyk, Chris Shenefiel:
Learning to Identify Security-Related Issues Using Convolutional Neural Networks. - Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh:
A self-organizing fuzzy neural network for sequence learning. - Stephen Smart, Keke Wu, Danielle Albers Szafir:
Color Crafting: Automating the Construction of Designer Quality Color Ramps. - Stephen Redmond:
Visual cues in estimation of part-to-whole comparison. - Andrew Adamatzky, Michail-Antisthenis I. Tsompanas, Thomas C. Draper, Richard Mayne:
Liquid Marble Photosensor. - Conner DiPaolo, Weiqing Gu:
A Randomized Algorithm for Preconditioner Selection. - Hanen Akouaydi, Sourour Njah, Wael Ouarda, Anis Samet, Thameur Dhieb, Mourad Zaied, Adel M. Alimi:
Neural Architecture based on Fuzzy Perceptual Representation For Online Multilingual Handwriting Recognition. - Muhammad Usama, Junaid Qadir, Ala I. Al-Fuqaha:
Black-box Adversarial ML Attack on Modulation Classification. - Yuqi Cui, Dongrui Wu:
Optimize TSK Fuzzy Systems for Big Data Classification Problems: Bag of Tricks. - Sacha Sokoloski, Ruben Coen Cagli:
Conditional Finite Mixtures of Poisson Distributions for Context-Dependent Neural Correlations. - Keshav Kolur, Sahit Chintalapudi, Byron Boots, Mustafa Mukadam:
Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference. - Hallie Dunham, Dylan Cutler, Sakshi Mishra, Xiangkun Li:
Evaluation of Centralized and Distributed Microgrid Topologies Considering Power Quality Constraints. - Benjamin Szczapa, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo, Pietro Pala, Estelle M. Massart:
Fitting, Comparison, and Alignment of Trajectories on Positive Semi-Definite Matrices with Application to Action Recognition. - Amine Trabelsi, Osmar R. Zaïane:
Contrastive Reasons Detection and Clustering from Online Polarized Debate. - Fredrik Hellman, Tim Keil, Axel Målqvist:
Numerical upscaling of perturbed diffusion problems. - Victoria G. Crawford, Alan Kuhnle, My T. Thai:
Submodular Cost Submodular Cover with an Approximate Oracle. - Qihang Peng, Andrew Gilman, Nuno Vasconcelos, Pamela C. Cosman, Laurence B. Milstein:
Robust Deep Sensing Through Transfer Learning in Cognitive Radio. - Amira Chalbi, Jacob Ritchie, Deokgun Park, Jungu Choi, Nicolas Roussel, Niklas Elmqvist, Fanny Chevalier:
Common Fate for Animated Transitions in Visualization. - Yalong Yang:
Visualising Geographically-Embedded Origin-Destination Flows: in 2D and immersive environments. - George W. Jackson Jr., Shawon Rahman:
Exploring Challenges and Opportunities in Cybersecurity Risk and Threat Communications Related To The Medical Internet Of Things (MIoT). - Alex Yang, Charlie T. Veal, Derek T. Anderson, Grant J. Scott:
Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features. - Jieqiong Zhao, Morteza Karimzadeh, Ali Masjedi, Taojun Wang, Xiwen Zhang, Melba M. Crawford, David S. Ebert:
FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images. - Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu:
Indices Matter: Learning to Index for Deep Image Matting. - Fangyuan Lei, Xun Liu, Qingyun Dai, Bingo Wing-Kuen Ling, Huimin Zhao, Yan Liu:
Hybrid Low-order and Higher-order Graph Convolutional Networks. - Allen Ibiapina, Ana Silva:
b-continuity and Partial Grundy Coloring of graphs with large girth. - Bahador Saket, Samuel Huron, Charles Perin, Alex Endert:
Investigating Direct Manipulation of Graphical Encodings as a Method for User Interaction. - Matt Whitlock, Keke Wu, Danielle Szafir:
Designing for Mobile and Immersive Visual Analytics in the Field. - Bowen Yu, Cláudio T. Silva:
FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System. - Farhad Pourkamali-Anaraki:
Large-Scale Sparse Subspace Clustering Using Landmarks. - Di Tang, Xiaofeng Wang, Haixu Tang, Kehuan Zhang:
Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection. - Ying Yang, Michael Wybrow, Yuan-Fang Li, Tobias Czauderna, Yongqun He:
OntoPlot: A Novel Visualisation for Non-hierarchical Associations in Large Ontologies. - Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi:
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks. - Tao Hu, Lichao Huang, Xianming Liu, Han Shen:
Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network. - Neil K. Chada, Claudia Schillings, Simon Weissmann:
On the Incorporation of Box-Constraints for Ensemble Kalman Inversion. - Robert Müller, Stefan Langer, Fabian Ritz, Christoph Roch, Steffen Illium, Claudia Linnhoff-Popien:
Soccer Team Vectors. - Qianqian Tong, Guannan Liang, Jinbo Bi:
Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance. - Ankur A. Kulkarni:
The Efficiency of Generalized Nash and Variational Equilibria. - Junge Wang, Bofeng Yuan, Lexiang Huang, Syed Ali Jafar:
GDoF of Interference Channel with Limited Cooperation under Finite Precision CSIT. - Alireza Naghizadeh, Mohammadsajad Abavisani, Dimitris N. Metaxas:
Greedy AutoAugment. - Puneet Mangla, Surgan Jandial, Sakshi Varshney, Vineeth N. Balasubramanian:
AdvGAN++ : Harnessing latent layers for adversary generation. - Guoqiang Gong, Liangfeng Zheng, Kun Bai, Yadong Mu:
Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos. - Mao-Ching Chiu:
Interleaved Polar (I-Polar) Codes. - Xin He, Kaiyong Zhao, Xiaowen Chu:
AutoML: A Survey of the State-of-the-Art. - Vinay Kumar V, P. Nagabhushan:
Monitoring of people entering and exiting private areas using Computer Vision. - Xinhai Liu, Zhizhong Han, Xin Wen, Yu-Shen Liu, Matthias Zwicker:
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention. - Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Combining learned skills and reinforcement learning for robotic manipulations. - Sebastian Franz:
Continuous time integration for changing time systems. - Jingxuan Jiang, Chundong Wang, Sudipta Chattopadhyay, Wei Zhang:
Road Context-aware Intrusion Detection System for Autonomous Cars. - Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould, AmirHossein Habibian:
Learning Variations in Human Motion via Mix-and-Match Perturbation. - Marco Schreyer, Timur Sattarov, Christian Schulze, Bernd Reimer, Damian Borth:
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks. - André Artelt, Barbara Hammer:
Efficient computation of counterfactual explanations of LVQ models. - Valentina Lenarduzzi, Antonio Martini, Davide Taibi, Damian Andrew Tamburri:
Towards Surgically-Precise Technical Debt Estimation: Early Results and Research Roadmap. - Ryan Shah, Michael McIntee, Shishir Nagaraja, Sahil Bhandary, Prerna Arote, Joy Kuri:
Secure Calibration for High-Assurance IoT: Traceability for Safety Resilience. - Takeshi Iwashita, Senxi Li, Takeshi Fukaya:
Hierarchical Block Multi-Color Ordering: A New Parallel Ordering Method for Vectorization and Parallelization of the Sparse Triangular Solver in the ICCG Method. - Pablo V. A. Barros, Stefan Wermter, Alessandra Sciutti:
Towards Learning How to Properly Play UNO with the iCub Robot. - Alexander A. Semenov:
Merging variables: one technique of search in pseudo-Boolean optimization. - Peng Yang, Feng Liu, Zhaojian Wang, Chen Shen, Jun Yi, Weifang Lin:
Toward Distributed Stability Analytics for Power Systems with Heterogeneous Bus Dynamics. - Abon Chaudhuri:
A Visual Technique to Analyze Flow of Information in a Machine Learning System. - Ninnart Fuengfusin, Hakaru Tamukoh:
Network with Sub-Networks. - Zhenmei Shi, Haoyang Fang, Yu-Wing Tai, Chi-Keung Tang:
DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking. - Larissa de O. Penteado, Mateus Riva, Roberto M. Cesar Jr.:
A Structural Graph-Based Method for MRI Analysis. - Álvaro Porras, Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda:
Day-ahead Operation of an Aggregator of Electric Vehicles via Optimization under Uncertainty. - Mario Kapl, Vito Vitrih:
Isogeometric collocation on planar multi-patch domains. - Peng-Cheng Lin, Wan-Lei Zhao:
On the Merge of k-NN Graph. - Yao Yue, Lihong Feng, Peter Benner:
An Adaptive Pole-Matching Method for Interpolating Reduced-Order Models. - Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy:
Learning Lightweight Lane Detection CNNs by Self Attention Distillation. - Romain Guigourès, Yuen King Ho, Evgenii Koriagin, Abdul-Saboor Sheikh, Urs Bergmann, Reza Shirvany:
A Hierarchical Bayesian Model for Size Recommendation in Fashion. - Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi:
The Technical Debt Dataset. - Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy:
Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison. - Richard Cole, Yixin Tao:
Balancing the Robustness and Convergence of Tatonnement. - Prosenjit Bose, Jean Cardinal, John Iacono, Grigorios Koumoutsos, Stefan Langerman:
Competitive Online Search Trees on Trees. - Ahmad AlAmmouri, Jianhua Mo, Boon Loong Ng, Jianzhong Charlie Zhang, Jeffrey G. Andrews:
Grip-Aware Analog mmWave Beam Codebook Adaptation for 5G Mobile Handsets. - Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Learning the Model Update for Siamese Trackers. - Muhamad Risqi Utama Saputra, Pedro P. B. de Gusmao, Yasin Almalioglu, Andrew Markham, Niki Trigoni:
Distilling Knowledge From a Deep Pose Regressor Network. - Saket Dingliwal, Ronak Agarwal, Happy Mittal, Parag Singla:
CVC4-SymBreak: Derived SMT solver at SMT Competition 2019. - Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification. - Will Price, Dima Damen:
An Evaluation of Action Recognition Models on EPIC-Kitchens. - Owen Howell, Cui Wenping, Robert Marsland III, Pankaj Mehta:
Machine Learning as Ecology. - Andrea Celli, Stefano Coniglio, Nicola Gatti:
Bayesian Persuasion with Sequential Games. - Donsub Rim:
Exact and Fast Inversion of the Approximate Discrete Radon Transform. - Santiago Badia, Alberto F. Martín:
A tutorial-driven introduction to the parallel finite element library FEMPAR v1.0.0. - Rui Fan, Umar Özgünalp, Brett Hosking, Ming Liu, Ioannis Pitas:
Pothole Detection Based on Disparity Transformation and Road Surface Modeling. - Roly Perera:
The meaning of a program change is a change to the program's meaning. - J. Farley Norman, James T. Todd, Flip Phillips:
Effects of Illumination on the Categorization of Shiny Materials. - Jessica Magallanes, Lindsey van Gemeren, Steven Wood, Maria-Cruz Villa-Uriol:
Analyzing Time Attributes in Temporal Event Sequences. - Hannes Uecker:
User guide on Hopf bifurcation and time periodic orbits with pde2path. - Sandeep Nallan Chakravarthula, Haoqi Li, Shao-Yen Tseng, Maija Reblin, Panayiotis G. Georgiou:
Predicting Behavior in Cancer-Afflicted Patient and Spouse Interactions using Speech and Language. - Selim Engin, Volkan Isler:
Asynchronous Network Formation in Unknown Unbounded Environments. - Dominik Machácek, Jonás Kratochvíl, Tereza Vojtechová, Ondrej Bojar:
A Speech Test Set of Practice Business Presentations with Additional Relevant Texts. - Matej Krpan, Igor Kuzle:
Accurate Model of a Supercapacitor Bank for Power System Dynamics Studies. - Philipp M. Scholl, Benjamin Völker, Bernd Becker, Kristof Van Laerhoven:
A Multi-Media Exchange Format for Time-Series Dataset Curation. - Loïc Lesavre, Priam Varin, Peter Mell, Michael Davidson, James M. Shook:
A Taxonomic Approach to Understanding Emerging Blockchain Identity Management Systems. - Jie Jiang, Qiuqiang Kong, Mark D. Plumbley, Nigel Gilbert:
Deep Learning Based Energy Disaggregation and On/Off Detection of Household Appliances. - Tahmida Mahmud, Mohammad Billah, Mahmudul Hasan, Amit K. Roy-Chowdhury:
Captioning Near-Future Activity Sequences. - Stefan Lattner, Maarten Grachten:
High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction. - Soheil Abbasloo, H. Jonathan Chao:
Bounding Queue Delay in Cellular Networks to Support Ultra-Low Latency Applications. - Payam Delgosha, Venkat Anantharam:
A Notion of Entropy for Stochastic Processes on Marked Rooted Graphs. - Chun-An Chou, Qingtao Cao, Shao-Jen Weng, Che-Hung Tsai:
Mixed-Integer Optimization Approach to Learning Association Rules for Unplanned ICU Transfer. - David T. Hoffmann, Dimitrios Tzionas, Michael J. Black, Siyu Tang:
Learning to Train with Synthetic Humans. - Francesco Ferrante, Yongqiang Wang:
Robust Almost Global Splay State Stabilization of Pulse Coupled Oscillators. - Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof:
A local direct method for module identification in dynamic networks with correlated noise. - Elisabeth Lex, Dominik Kowald:
The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. - Andreas Brandstädt, Raffaele Mosca:
Finding Dominating Induced Matchings in P9-Free Graphs in Polynomial Time. - Sakib Mahmud Khan, Mashrur Chowdhury:
Situation-Aware Left-Turning Connected and Automated Vehicle Operation at Signalized Intersections. - Xinliang Zhang, Yue Qi, Mojtaba Vaezi:
A Rotation-based Method for Precoding in Gaussian MIMOME Channels. - Paul Houston, Sarah Roggendorf, Kristoffer G. van der Zee:
Eliminating Gibbs Phenomena: A Non-linear Petrov-Galerkin Method for the Convection-Diffusion-Reaction Equation. - Hao Tang, Dan Xu, Gaowen Liu, Wei Wang, Nicu Sebe, Yan Yan:
Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation. - Fan-Yun Sun, Jordan Hoffmann, Jian Tang:
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. - Jianhua Mo, Boon Loong Ng, SangHyun Chang, Pengda Huang, Mandar N. Kulkarni, Ahmad AlAmmouri, Jianzhong Charlie Zhang, Jeongheum Lee, Won-Joon Choi:
Beam Codebook Design for 5G mmWave Terminals. - Spencer Frazier, Mark O. Riedl:
Improving Deep Reinforcement Learning in Minecraft with Action Advice. - Xiangju Qin, Paul Blomstedt, Samuel Kaski:
Scalable Bayesian Non-linear Matrix Completion. - Eric Blais, Joshua Brody:
Optimal Separation and Strong Direct Sum for Randomized Query Complexity. - Ross E. Allen, Javona White Bear, Jayesh K. Gupta, Mykel J. Kochenderfer:
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning. - Firat Cakir, Andrew J. Christlieb, Yan Jiang:
A Kernel Based High Order "Explicit" Unconditionally Stable Constrained Transport Method for Ideal Magnetohydrodynamics. - Cynthia L. Bennett, Os Keyes:
What is the Point of Fairness? Disability, AI and The Complexity of Justice. - Weifeng Zhao, Juntao Huang:
Boundary treatment of implicit-explicit Runge-Kutta method for hyperbolic systems with source terms. - Victoria G. Crawford:
An Efficient Evolutionary Algorithm for Minimum Cost Submodular Cover. - Adam Gudys, Marek Sikora, Lukasz Wróbel:
RuleKit: A Comprehensive Suite for Rule-Based Learning. - Katie A. Siek, Tiffany C. Veinot, Beth Mynatt:
Research Opportunities in Sociotechnical Interventions for Health Disparity Reduction. - Chloe Ching-Yun Hsu, Michaela Hardt, Moritz Hardt:
Linear Dynamics: Clustering without identification. - Anthony Corso, Peter Du, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation. - Marcin Radzio, Maciej Wielgosz, Matej Mertik:
Falls Prediction in eldery people using Gated Recurrent Units. - Masarah Paquet-Clouston, Matteo Romiti, Bernhard Haslhofer, Thomas Charvat:
Spams meet Cryptocurrencies: Sextortion in the Bitcoin Ecosystem. - Gabrielle Kaili-May Liu:
Weight Friction: A Simple Method to Overcome Catastrophic Forgetting and Enable Continual Learning. - Daniel Rogozin:
Quantale semantics of Lambek calculus with subexponential modalities. - Tsong-Ming Liaw, Simon C. Lin:
A General Theory of Concept Lattice (I): Emergence of General Concept Lattice. - Asma Balamane, Zina Taklit:
Proposition d'un modèle pour l'optimisation automatique de boucles dans le compilateur Tiramisu : cas d'optimisation de déroulage. - Xin Wang, Hideaki Ishii, Linkang Du, Peng Cheng, Jiming Chen:
Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation. - Xinjian Li, Siddharth Dalmia, Alan W. Black, Florian Metze:
Multilingual Speech Recognition with Corpus Relatedness Sampling. - Martin Strohmeier, Matthew Smith, Vincent Lenders, Ivan Martinovic:
Classi-Fly: Inferring Aircraft Categories from Open Data. - Xinjian Li, Zhong Zhou, Siddharth Dalmia, Alan W. Black, Florian Metze:
SANTLR: Speech Annotation Toolkit for Low Resource Languages. - Brian Teixeira, Birgi Tamersoy, Vivek K. Singh, Ankur Kapoor:
Adaloss: Adaptive Loss Function for Landmark Localization. - Adrienn Dineva, Amir Mosavi, Mate Gyimesi, István Vajda:
Multi-label Classification for Fault Diagnosis of Rotating Electrical Machines. - Sanidhya Mangal, Rahul Modak, Poorva Joshi:
LSTM Based Music Generation System. - Nesreen K. Ahmed, Nick Duffield:
Network Shrinkage Estimation. - Chirag Gupta, Sivaraman Balakrishnan, Aaditya Ramdas:
Path Length Bounds for Gradient Descent and Flow. - Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto:
Toward Understanding Catastrophic Forgetting in Continual Learning. - Cumhur Erkan Tuncali, Georgios Fainekos, Danil V. Prokhorov, Hisahiro Ito, James Kapinski:
Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components. - Petra Bevandic, Ivan Kreso, Marin Orsic, Sinisa Segvic:
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift. - Yixin Su, Sarah Monazam Erfani, Rui Zhang:
MMF: Attribute Interpretable Collaborative Filtering. - Ningyuan Chen, Guillermo Gallego, Zhuodong Tang:
The Use of Binary Choice Forests to Model and Estimate Discrete Choice Models. - Dan Wu, Bin Wang:
Influence of Load Models on Equilibria, Stability and Algebraic Manifolds of Power System Differential-Algebraic System. - Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang:
ABD-Net: Attentive but Diverse Person Re-Identification. - Rahul Singh, Gopal Krishna Kamath, P. R. Kumar:
Optimal Information Updating based on Value of Information. - Kaveh Dehghanpour, Yuxuan Yuan, Fankun Bu, Zhaoyu Wang:
Statistical Dynamic Modeling of Networked DERs for Assessing and Mitigating Risk of Cascading Tripping Events in Distribution Grids. - Ardavan Bidgoli, Eunsu Kang, Daniel Cardoso Llach:
Machinic Surrogates: Human-Machine Relationships in Computational Creativity. - Simina Brânzei, Yuval Peres:
Multiplayer Bandit Learning, from Competition to Cooperation. - Yang Liu, Baoli Yin, Hong Li, Zhimin Zhang:
The unified theory of shifted convolution quadrature for fractional calculus. - Paul Gastin:
Modular Descriptions of Regular Functions. - Wentai Wu, Ligang He, Weiwei Lin:
Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series. - Sudeb Majee, Rajendra K. Ray, Ananta K. Majee:
A Gray Level Indicator-Based Regularized Telegraph Diffusion Equation Applied to Image Despeckling. - Narges Mehran, Dragi Kimovski, Radu Prodan:
MAPO: A Multi-Objective Model for IoT Application Placement in a Fog Environment. - Rihab Abdul Razak, Srikant Sukumar, Hoam Chung:
Distributed Adaptive Coverage Control of Differential Drive Robotic Sensors. - Akshay Chaturvedi, Abijith KP, Utpal Garain:
Invariance-based Adversarial Attack on Neural Machine Translation Systems. - Amar Ranjan Dash, Sandipta Kumar Sahu, B. Kewal:
An Optimized Disk Scheduling Algorithm With Bad-Sector Management. - Xiaolei Fang, Meiqing Liu, Jinquan Luo:
On Euclidean Hulls of MDS Codes. - Xiaofeng Liu, Zhenhua Guo, Site Li, Lingsheng Kong, Ping Jia, Jane You, B. V. K. Vijaya Kumar:
Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition. - Frances Y. Kuo, Giovanni Migliorati, Fabio Nobile, Dirk Nuyens:
Function integration, reconstruction and approximation using rank-1 lattices. - Yafei Song, Di Zhu, Jia Li, Yonghong Tian, Mingyang Li:
Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization. - Cristina Bazgan, Stefan Ruzika, Clemens Thielen, Daniel Vanderpooten:
The Power of the Weighted Sum Scalarization for Approximating Multiobjective Optimization Problems. - Tengchan Zeng, Omid Semiari, Walid Saad, Mehdi Bennis:
Dependence Control for Reliability Optimization in Vehicular Networks. - Hazan Anayurt, Sezai Artun Ozyegin, Ulfet Cetin, Utku Aktas, Sinan Kalkan:
Searching for Ambiguous Objects in Videos using Relational Referring Expressions. - Magdalena Biesialska, Lluis Guardia, Marta R. Costa-jussà:
The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation. - Behrooz Tahmasebi, Mohammad Ali Maddah-Ali:
Private Sequential Function Computation. - Srijan Kumar, Xikun Zhang, Jure Leskovec:
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. - Wenzheng Chen, Jun Gao, Huan Ling, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler:
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. - David Matthews, Sam Kriegman, Collin Cappelle, Josh C. Bongard:
Word2vec to behavior: morphology facilitates the grounding of language in machines. - Christopher Sweet, Stephen Moskal, Shanchieh Jay Yang:
On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks. - Dekel Tsur:
Faster algorithms for cograph edge modification problems. - Daniel Omeiza, Skyler Speakman, Celia Cintas, Komminist Weldemariam:
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models. - Nirandika Wanigasekara, Christina Lee Yu:
Nonparametric Contextual Bandits in an Unknown Metric Space. - Pablo Arrighi, Giuseppe Di Molfetta, Nathanaël Eon:
Non-Abelian Gauge-Invariant Cellular Automata. - Victoria G. Crawford, Alan Kuhnle:
Fast Evolutionary Algorithms for Maximization of Cardinality-Constrained Weakly Submodular Functions. - Ke Li, Kejun Tang, Jinglai Li, Tianfan Wu, Qifeng Liao:
A hierarchical neural hybrid method for failure probability estimation. - Jie Tang, Fei-Peng Tian, Wei Feng, Jian Li, Ping Tan:
Learning Guided Convolutional Network for Depth Completion. - Devavrat Shah, Christina Lee Yu:
Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation. - Vinay Uday Prabhu:
Kannada-MNIST: A new handwritten digits dataset for the Kannada language. - Mohammadreza Baharani, Mehrdad Biglarbegian, Babak Parkhideh, Hamed Tabkhi:
Real-time Deep Learning at the Edge for Scalable Reliability Modeling of Si-MOSFET Power Electronics Converters. - Ben Adcock, Juan M. Cardenas:
Optimal sampling strategies for multivariate function approximation on general domains. - Xilai Li, Wei Sun, Tianfu Wu:
Attentive Normalization. - Seungwon Min, Sitao Huang, Mohamed El-Hadedy, Jinjun Xiong, Deming Chen, Wen-Mei Hwu:
Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device. - Yan Wang, Peng Jia, Luping Liu, Jiayong Liu:
A systematic review of fuzzing based on machine learning techniques. - Taher Mun, Alan Kuhnle, Christina Boucher, Travis Gagie, Ben Langmead, Giovanni Manzini:
Matching reads to many genomes with the r-index. - Zhao Zhang, Jiahuan Ren, Sheng Li, Richang Hong, Zheng-Jun Zha, Meng Wang:
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation. - Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica:
Deep Reinforcement Learning in System Optimization. - Linda Woodburn, Yalong Yang, Kim Marriott:
Interactive Visualisation of Hierarchical Quantitative Data: an Evaluation. - Lanqing He, Zhongdao Wang, Yali Li, Shengjin Wang:
Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning. - Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares, Mamtaz Uddin, Oya Beyan, Stefan Decker:
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. - Ellen R. Novoseller, Yanan Sui, Yisong Yue, Joel W. Burdick:
Dueling Posterior Sampling for Preference-Based Reinforcement Learning. - Lehel Banjai, María López-Fernández:
The numerical approximation of the Schrödinger equation with concentrated potential. - Qunjie Zhou, Torsten Sattler, Marc Pollefeys, Laura Leal-Taixé:
To Learn or Not to Learn: Visual Localization from Essential Matrices. - Chanatip Saetia, Ekapol Chuangsuwanich, Tawunrat Chalothorn, Peerapon Vateekul:
Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations. - Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang:
The General Black-box Attack Method for Graph Neural Networks. - Xiaoli Xu, Yong Zeng, Yonghui Li, Branka Vucetic:
Minimum-Latency FEC Design with Delayed Feedback: Mathematical Modeling and Efficient Algorithms. - Sairaam Venkatraman, S. Balasubramanian, R. Raghunatha Sarma:
Building Deep, Equivariant Capsule Networks. - Yixuan Liu, Yuwang Wang, Shengjin Wang:
Adversarial View-Consistent Learning for Monocular Depth Estimation. - Shaojie Qu, Kan Li, Zheyi Fan, Sisi Wu, Xinyi Liu, Zhiguo Huang:
Behavior Pattern and Compiled Information Based Performance Prediction in MOOCs. - Gengyun Jia, Peipei Li, Ran He:
Theme Aware Aesthetic Distribution Prediction with Full Resolution Photos. - Denis N. Sidorov, Ildar Muftahov, Nikita V. Tomin, Dmitriy Karamov, Daniil A. Panasetsky, Aliona Dreglea, Fang Liu, Aoife Foley:
A Dynamic Analysis of Energy Storage with Renewable and Diesel Generation using Volterra Equations. - Chenyang Lei, Qifeng Chen:
Fully Automatic Video Colorization with Self-Regularization and Diversity. - Huaxi Huang, Junjie Zhang, Jian Zhang, Jingsong Xu, Qiang Wu:
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification. - Xiangxiang Chu, Bo Zhang, Ruijun Xu:
MoGA: Searching Beyond MobileNetV3. - Sergio Cabello:
Computing the inverse geodesic length in planar graphs and graphs of bounded treewidth. - Bin Ding, Chengjiang Long, Ling Zhang, Chunxia Xiao:
ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal. - Andreas Tiemeyer, Tom Melham, Daniel Kroening, John O'Leary:
CREST: Hardware Formal Verification with ANSI-C Reference Specifications. - Chang-Ock Lee, Jongho Park:
Fast Nonoverlapping Block Jacobi Method for the Dual Rudin-Osher-Fatemi Model. - Pepa Atanasova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Georgi Karadzhov, Tsvetomila Mihaylova, Mitra Mohtarami, James R. Glass:
Automatic Fact-Checking Using Context and Discourse Information. - Haoyue Tang, Jintao Wang, Linqi Song, Jian Song:
Scheduling to Minimize Age of Information in Multi-State Time-Varying Networks with Power Constraints. - Pankaj Singh, Sudhakar Singh, P. K. Mishra, Rakhi Garg:
A Data Structure Perspective to the RDD-based Apriori Algorithm on Spark. - Zhaoyang Yang, Zhenmei Shi, Xiaoyong Shen, Yu-Wing Tai:
SF-Net: Structured Feature Network for Continuous Sign Language Recognition. - Shuai Yang, Hao Wang, Yuhong Zhang, Yi Zhu, Peipei Li, Xuegang Hu:
Semi-supervised representation learning via dual autoencoders for domain adaptation. - Mahmoud Masadeh, Osman Hasan, Sofiène Tahar:
Error Analysis of Approximate Array Multipliers. - Lesandro Ponciano, Thiago Emmanuel Pereira:
Characterising Volunteers' Task Execution Patterns Across Projects on Multi-Project Citizen Science Platforms. - Rodrigo Rebouças de Almeida:
Business-Driven Technical Debt Prioritization. - Sainik Kumar Mahata, Avishek Garain, Adityar Rayala, Dipankar Das, Sivaji Bandyopadhyay:
JUMT at WMT2019 News Translation Task: A Hybrid approach to Machine Translation for Lithuanian to English. - Dimitrios Matthes, Vasileios Drakopoulos:
Another Simple but Faster Method for 2D Line Clipping. - Atri Mandal, Shivali Agarwal, Nikhil Malhotra, Giriprasad Sridhara, Anupama Ray, Daivik Swarup:
Improving IT Support by Enhancing Incident Management Process with Multi-modal Analysis. - Jisun An, Haewoon Kwak:
Gender and Racial Diversity in Commercial Brands' Advertising Images on Social Media. - Johan Bos:
Separating Argument Structure from Logical Structure in AMR. - Tasneem Assaf, Arafat Al-Dweik, Mohamed Shawky El Moursi, Hatem H. Zeineldin:
Exact BER Performance Analysis for Downlink NOMA Systems Over Nakagami-m Fading Channels. - Sam Toyer, Felipe W. Trevizan, Sylvie Thiébaux, Lexing Xie:
ASNets: Deep Learning for Generalised Planning. - Xiaochuan Yin, Chengju Liu:
Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space. - Adam Wolff, Shachar Praisler, Ilya Tcenov, Guy Gilboa:
Image-Guided Depth Sampling and Reconstruction. - Thomas Stastny, Roland Siegwart:
On Flying Backwards: Preventing Run-away of Small, Low-speed, Fixed-wing UAVs in Strong Winds. - Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin:
Simultaneous Clustering and Optimization for Evolving Datasets. - Yu Zhu, Michael T. Schaub, Ali Jadbabaie, Santiago Segarra:
Network Inference from Consensus Dynamics with Unknown Parameters. - Andrea Schioppa:
Learning to Transport with Neural Networks. - Yi Zheng, Qitong Wang, Margrit Betke:
Deep Neural Network for Semantic-based Text Recognition in Images. - Qiao Kang, Lei Xue, Adam Morrison, Yuxin Tang, Ang Chen, Xiapu Luo:
Programmable In-Network Security for Context-aware BYOD Policies. - Carl Yang, Aydin Buluç, John D. Owens:
GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU. - Alexander Zook, Eric Fruchter, Mark O. Riedl:
Automatic Playtesting for Game Parameter Tuning via Active Learning. - Alexander Zook, Mark O. Riedl:
Automatic Game Design via Mechanic Generation. - Hossein K. Mousavi, Nader Motee:
Explicit Characterization of Performance of a Class of Networked Linear Control Systems. - Alexander Zook, Brent Harrison, Mark O. Riedl:
Monte-Carlo Tree Search for Simulation-based Strategy Analysis. - Ksenia Korovina, Sailun Xu, Kirthevasan Kandasamy, Willie Neiswanger, Barnabás Póczos, Jeff Schneider, Eric P. Xing:
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations. - Rutger Kraaijer, Marc J. van Kreveld, Wouter Meulemans, André van Renssen:
Geometry and Generation of a New Graph Planarity Game. - Stefan Maetschke, Bhavna Josephine Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi:
Inference of visual field test performance from OCT volumes using deep learning. - Kazuo Misue, Katsuya Akasaka:
Graph Drawing with Morphing Partial Edges. - Chenglong Li, Yan Huang, Liang Wang, Jin Tang, Liang Lin:
Learning Compact Target-Oriented Feature Representations for Visual Tracking. - Andrew Kae, Yale Song:
Image to Video Domain Adaptation Using Web Supervision. - Guoxing Yu, Yongtao Hu, Jingwen Dai:
TopoTag: A Robust and Scalable Topological Fiducial Marker System. - A. Torres-Hernandez, F. Brambila-Paz:
Fractional Newton's Method and Some Variants for the Solution of Nonlinear Systems. - Taiki Nakamura, Yuki Saito, Shinnosuke Takamichi, Yusuke Ijima, Hiroshi Saruwatari:
V2S attack: building DNN-based voice conversion from automatic speaker verification. - Jelle Hellings, Mohammad Sadoghi:
The fault-tolerant cluster-sending problem. - Md Yasin Kabir, Sanjay Madria:
A Deep Learning Approach for Tweet Classification and Rescue Scheduling for Effective Disaster Management. - Hayeon Lee, Donghyun Na, Haebeom Lee, Sung Ju Hwang:
Learning to Generalize to Unseen Tasks with Bilevel Optimization. - Suyash Gupta, Jelle Hellings, Mohammad Sadoghi:
Revisiting consensus protocols through wait-free parallelization. - Praful D. Mankar, Harpreet S. Dhillon:
Downlink Analysis of NOMA-enabled Cellular Networks with 3GPP-inspired User Ranking. - Mohammadamin Baniasadi, Ertem Tuncel:
Minimum Energy for Gaussian Joint source-channel Coding with a Square-law Distortion-Noise Profile. - Sugandha Tiwari, Neel Gala, Chester Rebeiro, V. Kamakoti:
PERI: A Posit Enabled RISC-V Core. - Dang Duy Thang, Toshihiro Matsui:
Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve. - Liming Ma, Chaoping Xing:
Constructive asymptotic bounds of locally repairable codes via function fields. - Gholamreza Kakamanshadi, Savita Gupta, Sukhwinder Singh:
Fuzzy informer homed routing protocol for wireless sensor network. - Mohammad Ghafari, Markus Eggiman, Oscar Nierstrasz:
Testability First! - Haibao Yu, Tuopu Wen, Guangliang Cheng, Jiankai Sun, Qi Han, Jianping Shi:
GDRQ: Group-based Distribution Reshaping for Quantization. - Yi-Hsiang Chang, Kuan-Yu Chang, Henry Kuo, Chun-Yi Lee:
Construction of Macro Actions for Deep Reinforcement Learning. - Juncheng Li, Siliang Tang, Fei Wu, Yueting Zhuang:
Walking with MIND: Mental Imagery eNhanceD Embodied QA. - Wenkang Su, Jiangqun Ni, Yuanfeng Pan, Xianglei Hu, Yun-Qing Shi:
Image Steganography using Gaussian Markov Random Field Model. - Mohammadreza Hazhirpasand, Mohammad Ghafari, Stefan Krüger, Eric Bodden, Oscar Nierstrasz:
The Impact of Developer Experience in Using Java Cryptography. - Chao Wen, Yinda Zhang, Zhuwen Li, Yanwei Fu:
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. - Natalia Soboleva, Konstantin S. Yakovlev:
GAN Path Finder: Preliminary results. - Francis Lee, Carter T. Butts:
Incorporating Structural Stigma into Network Analysis. - Steve Counsell, Mahir Arzoky, Giuseppe Destefanis, Davide Taibi:
On the Relationship Between Coupling and Refactoring: An Empirical Viewpoint. - Valentina Lenarduzzi, Teemu Orava, Nyyti Saarimäki, Kari Systä, Davide Taibi:
An Empirical Study on Technical Debt in a Finnish SME. - Onur Ayan, Mikhail Vilgelm, Wolfgang Kellerer:
Optimal Scheduling for Discounted Age Penalty Minimization in Multi-Loop Networked Control. - Weilin Wan, Aaron Walsman, Dieter Fox:
Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks. - Hiroki Tanioka:
A Fast Content-Based Image Retrieval Method Using Deep Visual Features. - Dina Bashkirova, Ben Usman, Kate Saenko:
Adversarial Self-Defense for Cycle-Consistent GANs. - Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Beyond English-only Reading Comprehension: Experiments in Zero-Shot Multilingual Transfer for Bulgarian. - Raoul de Charette, Sotiris Manitsaris:
3D Reconstruction of Deformable Revolving Object under Heavy Hand Interaction. - Andrea Araldo, Alessandro Di Stefano, Antonella Di Stefano:
EdgeMORE: Improving Resource Allocation with Multiple Options from Tenants. - Xiaolu Li, Zuoru Yang, Jinhong Li, Runhui Li, Patrick P. C. Lee, Qun Huang, Yuchong Hu:
Repair Pipelining for Erasure-Coded Storage: Algorithms and Evaluation. - Till Blume, Ansgar Scherp:
FLuID: A Meta Model to Flexibly Define Schema-level Indices for the Web of Data. - Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink:
Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models. - Liam Hiley, Alun D. Preece, Yulia Hicks, A. David Marshall, Harrison Taylor:
Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition. - Michele Colledanchise, Lorenzo Natale:
Analysis and Exploitation of Synchronized Parallel Executions in Behavior Trees. - Alex Denisov, Stanislav Pankevich:
Mull it over: mutation testing based on LLVM. - Liangming Chen, Ming Cao, Chuanjiang Li:
Angle rigidity and its usage to stabilize planar formations. - Mathilde Ollivier, Sébastien Bardin, Richard Bonichon, Jean-Yves Marion:
How to Kill Symbolic Deobfuscation for Free; or Unleashing the Potential of Path-Oriented Protections. - Lea Schönherr, Steffen Zeiler, Thorsten Holz, Dorothea Kolossa:
Robust Over-the-Air Adversarial Examples Against Automatic Speech Recognition Systems. - Radu Stefan Mincu:
Heuristic Algorithm for Generalized Function Matching. - Oleg Davydov:
Selection of Sparse Sets of Influence for Meshless Finite Difference Methods. - Yuntao Chen, Chenxia Han, Naiyan Wang, Zhaoxiang Zhang:
Revisiting Feature Alignment for One-stage Object Detection. - Patrik Jansson, Sólrún Halla Einarsdóttir, Cezar Ionescu:
Examples and Results from a BSc-level Course on Domain Specific Languages of Mathematics. 79-90 - Kurt Wan-Duo Ma, J. P. Lewis, W. Bastiaan Kleijn:
The HSIC Bottleneck: Deep Learning without Back-Propagation. - Ruofan Liang, Tianlin Li, Longfei Li, Quanshi Zhang:
Knowledge Isomorphism between Neural Networks. - Muhammad Zubair Asghar, Fazli Subhan, Muhammad Imran, Fazal Masud Kundi, Shahaboddin Shamshirband, Amir Mosavi, Peter Csiba, Annamária R. Várkonyi-Kóczy:
Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content. - Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, Timo Welti:
Solving high-dimensional optimal stopping problems using deep learning. - Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders:
Model Decay in Long-Term Tracking. - Paul J. Goulart, Yuji Nakatsukasa, Nikitas Rontsis:
Accuracy of approximate projection to the semidefinite cone. - Federico Clazzer, Balázs Matuz, Sachini Jayasooriya, Mahyar Shirvanimoghaddam, Sarah J. Johnson:
Protograph LDPC Code Design for Asynchronous Random Access. - Tobias Klamt, Max Schwarz, Christian Lenz, Lorenzo Baccelliere, Domenico Buongiorno, Torben Cichon, Antonio Di Guardo, David Droeschel, Massimiliano Gabardi, Malgorzata Kamedula, Navvab Kashiri, Arturo Laurenzi, Daniele Leonardis, Luca Muratore, Dmytro Pavlichenko, Arul Selvam Periyasamy, Diego Rodriguez, Massimiliano Solazzi, Antonio Frisoli, Michael Gustmann, Jürgen Roßmann, Uwe Süss, Nikos G. Tsagarakis, Sven Behnke:
Remote Mobile Manipulation with the Centauro Robot: Full-body Telepresence and Autonomous Operator Assistance. - Nusrah Hussain, Engin Erzin, T. Metin Sezgin, Yucel Yemez:
Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction. - Weichang Wu, Huanxi Liu, Xiaohu Zhang, Yu Liu, Hongyuan Zha:
Modeling Event Propagation via Graph Biased Temporal Point Process. - Marc Hartung, Florian Schintke:
Learned Clause Minimization in Parallel SAT Solvers. - Luis Miranda, Guido Schillaci:
An adaptive architecture for portability of greenhouse models. - Sihem Mesnager, Yanfeng Qi, Hongming Ru, Chunming Tang:
Minimal linear codes from characteristic functions. - Yang Yan, Lanlan Su, Vijay Gupta, Panos J. Antsaklis:
Analysis of Two-Dimensional Feedback Systems over Networks Using Dissipativity. - Simone Disabato, Manuel Roveri, Cesare Alippi:
Distributed Deep Convolutional Neural Networks for the Internet-of-Things. - Mihir Sahasrabudhe, Siddhartha Chandra:
Proof of Correctness and Time Complexity Analysis of a Maximum Distance Transform Algorithm. - Oluwole I. Ajala, Miznah Alshammary, Mai Alzamel, Jia Gao, Costas S. Iliopoulos, Jakub Radoszewski, Wojciech Rytter, Bruce W. Watson:
On the cyclic regularities of strings. - Zixiu Wu, Julia Ive, Josiah Wang, Pranava Madhyastha, Lucia Specia:
Predicting Actions to Help Predict Translations. - Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam M. Oberman:
A principled approach for generating adversarial images under non-smooth dissimilarity metrics. - Fedor Sandomirskiy, Erel Segal-Halevi:
Fair Division with Minimal Sharing. - Alice Baird, Björn W. Schuller:
Presenting the Acoustic Sounds for Wellbeing Dataset and Baseline Classification Results. - Chen Wang, Chengyuan Deng, Suzhen Wang:
Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost. - Diogo da Silva Magalhães Gomes, Alexandre Gonçalves Evsukoff:
Processamento de linguagem natural em Português e aprendizagem profunda para o domínio de Óleo e Gás. - Chih-Ting Liu, Chih-Wei Wu, Yu-Chiang Frank Wang, Shao-Yi Chien:
Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification. - Hari Prasanna Das, Pieter Abbeel, Costas J. Spanos:
Dimensionality Reduction Flows. - Katharina Kohler, Ari Ercole:
Characterising complex healthcare systems using network science: The small world of emergency surgery. - Koen Holtman:
Corrigibility with Utility Preservation. - Jessica Hullman:
Why Authors Don't Visualize Uncertainty. - David Awad:
Thoth: Improved Rapid Serial Visual Presentation using Natural Language Processing. - Boyuan Ma, Xiaojuan Ban, Haiyou Huang, Yu Zhu:
SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion. - Andrew Zhai, Hao-Yu Wu, Eric Tzeng, Dong Huk Park, Charles Rosenberg:
Learning a Unified Embedding for Visual Search at Pinterest. - Nils Bertschinger, Martin Hoefer, Daniel Schmand:
Strategic Payments in Financial Networks. - Yifei Huang, Matt Shum, Xi Wu, Jason Zezhong Xiao:
Discovery of Bias and Strategic Behavior in Crowdsourced Performance Assessment. - Van-Dang Nguyen, Massimiliano Leoni, Tamara Dancheva, Johan Jansson, Johan Hoffman, Demian Wassermann, Jing-Rebecca Li:
Portable simulation framework for diffusion MRI. - Saptarshi Banerjee, Arnabi Mitra, Debayan Ganguly, Ritajit Majumdar, Kingshuk Chatterjee:
Innovative ranking strategy for IPL team formation. - Sami Akin, Mustafa Cenk Gursoy:
On the Energy and Data Storage Management in Energy Harvesting Wireless Communications. - Rachid Guerraoui, Petr Kuznetsov, Matteo Monti, Matej Pavlovic, Dragos-Adrian Seredinschi:
Scalable Byzantine Reliable Broadcast (Extended Version). - Duc Minh Vo, Akihiro Sugimoto:
Visual-Relation Conscious Image Generation from Structured-Text. - Daniil Osudin, Christopher Child, Yang-Hui He:
Rendering Non-Euclidean Geometry in Real-Time Using Spherical and Hyperbolic Trigonometry. - Albert E. Shaw, Daniel Hunter, Forrest N. Iandola, Sammy Sidhu:
SqueezeNAS: Fast neural architecture search for faster semantic segmentation. - Lesia Semenova, Cynthia Rudin:
A study in Rashomon curves and volumes: A new perspective on generalization and model simplicity in machine learning. - Vít Ruzicka, Eunsu Kang, David Gordon, Ankita Patel, Jacqui Fashimpaur, Manzil Zaheer:
The Myths of Our Time: Fake News. - Shengbin Jia, Shijia E, Yang Xiang:
Supervised Neural Models Revitalize the Open Relation Extraction. - Abhinav Muta, Prabhu Ramachandran, Pawan Negi:
Simple Iterative Incompressible Smoothed Particle Hydrodynamics. - Wenbo Guo, Lun Wang, Xinyu Xing, Min Du, Dawn Song:
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems. - Joseph Marvin Imperial, Jeyrome Orosco, Shiela Mae Mazo, Lany L. Maceda:
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks. - Pavel Kraikivski:
Seeding the Singularity for A.I. - (Withdrawn) Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0.
- Sabin Devkota, Abu Reyan Ahmed, Felice De Luca, Kate Isaacs, Stephen G. Kobourov:
Stress-Plus-X (SPX) Graph Layout. - Veeru Talreja, Fariborz Taherkhani, Matthew C. Valenti, Nasser M. Nasrabadi:
Attribute-Guided Coupled GAN for Cross-Resolution Face Recognition. - J. Thomas Beale:
Solving Partial Differential Equations on Closed Surfaces with Planar Cartesian Grids. - Xinyi Li, Haibin Ling:
Hybrid Camera Pose Estimation with Online Partitioning. - Darío Garigliotti, Dyaa Albakour, Miguel Martinez, Krisztian Balog:
Unsupervised Context Retrieval for Long-tail Entities. - Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, Christopher Kanan:
Answering Questions about Data Visualizations using Efficient Bimodal Fusion. - Ravikiran Yeleswarapu, Arun K. Somani:
Addressing multiple bit/symbol errors in DRAM subsystem. - Jerry Jinfeng Guo, Elmar Eisemann:
Geometric Sample Reweighting for Monte Carlo Integration. - Gonzalo Navarro, Juan L. Reutter, Javiel Rojas-Ledesma:
Optimal Joins using Compact Data Structures. - Taha Shangipour Ataei, Kamyar Darvishi, Behrouz Minaei-Bidgoli, Sauleh Eetemadi:
Pars-ABSA: An Aspect-based Sentiment Analysis Dataset in Persian. - Boyuan Pan, Yazheng Yang, Hao Li, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He:
MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models. - Naomi Saphra, Adam Lopez:
Sparsity Emerges Naturally in Neural Language Models. - Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini:
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. - Ozan Irsoy, Rakesh Gosangi, Haimin Zhang, Mu-Hsin Wei, Peter Lund, Duccio Pappadopulo, Brendan Fahy, Neophytos Nephytou, Camilo Ortiz:
Dialogue Act Classification in Group Chats with DAG-LSTMs. - Mihai Oltean:
Jenny 5 - the robot. - Bilge Sipal, Ozcan Sari, Asena Teke, Nurullah Demirci:
Word Sense Disambiguation using Diffusion Kernel PCA. - M. Zulfiker Ali, Jelena V. Misic, Vojislav B. Misic:
Performance analysis of IEEE 802.11ax heterogeneous network in the presence of hidden terminals. - Chenwei Zhang:
Structured Knowledge Discovery from Massive Text Corpus. - Ping Wang, Tian Shi, Chandan K. Reddy:
A Translate-Edit Model for Natural Language Question to SQL Query Generation on Multi-relational Healthcare Data. - Oluwatobi Olabiyi, Erik T. Mueller:
Multi-turn Dialogue Response Generation with Autoregressive Transformer Models. - Minshuo Chen, Haoming Jiang, Wenjing Liao, Tuo Zhao:
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds. - Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun:
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification. - Sangchul Hahn, Heeyoul Choi:
Self-Knowledge Distillation in Natural Language Processing. - Kun Han, Junwen Chen, Hui Zhang, Haiyang Xu, Yiping Peng, Yun Wang, Ning Ding, Hui Deng, Yonghu Gao, Tingwei Guo, Yi Zhang, Yahao He, Baochang Ma, Yulong Zhou, Kangli Zhang, Chao Liu, Ying Lyu, Chenxi Wang, Cheng Gong, Yunbo Wang, Wei Zou, Hui Song, Xiangang Li:
DELTA: A DEep learning based Language Technology plAtform. - Puya Memarzia, Suprio Ray, Virendra C. Bhavsar:
Toward Efficient In-memory Data Analytics on NUMA Systems. - Daniele De Gregorio, Alessio Tonioni, Gianluca Palli, Luigi Di Stefano:
Semi-Automatic Labeling for Deep Learning in Robotics. - Alexander Millane, Helen Oleynikova, Juan I. Nieto, Roland Siegwart, César Cadena:
Free-Space Features: Global Localization in 2D Laser SLAM Using Distance Function Maps. - Chloe He, Gerard Glowacki, Alexis Gkantiragas:
Unsupervised Representations of Pollen in Bright-Field Microscopy. - Omar Alonso, Vasileios Kandylas, Serge-Eric Tremblay:
Local versus Global Strategies in Social Query Expansion. - Xiaofeng Liu, Zhenhua Guo, Jane You, B. V. K. Vijaya Kumar:
Attention Control with Metric Learning Alignment for Image Set-based Recognition. - Arip Asadulaev:
Backronym. - Matteo Foglio, Lorenzo Semeria, Guido Muscioni, Riccardo Pressiani, Tanya Y. Berger-Wolf:
Animal Wildlife Population Estimation Using Social Media Images Collections. - Kaichao You, Mingsheng Long, Michael I. Jordan, Jianmin Wang:
Learning Stages: Phenomenon, Root Cause, Mechanism Hypothesis, and Implications. - Tianhao Wei, Changliu Liu:
Safe Control Algorithms Using Energy Functions: A Unified Framework, Benchmark, and New Directions. - Paul M. Zapotezny-Anderson, Chris Lehnert:
Towards Active Robotic Vision in Agriculture: A Deep Learning Approach to Visual Servoing in Occluded and Unstructured Protected Cropping Environments. - Yusuke Urakami, Alec Hodgkinson, Casey Carlin, Randall Leu, Luca Rigazio, Pieter Abbeel:
DoorGym: A Scalable Door Opening Environment And Baseline Agent. - Shouqian Shi, Chen Qian, Ye Yu, Xin Li, Ying Zhang, Xiaozhou Li:
Concury: A Fast and Light-weighted Software Load Balancer. - Koffi Wilfrid Houédanou:
A new unified stabilized mixed finite element method of the Stokes-Darcy coupled problem: Isotropic discretization. - Michael Dinitz, Magnús M. Halldórsson, Calvin Newport, Alex Weaver:
The Capacity of Smartphone Peer-to-Peer Networks. - Chris Paxton, Nathan D. Ratliff, Clemens Eppner, Dieter Fox:
Representing Robot Task Plans as Robust Logical-Dynamical Systems. - Dan S. Wallach:
On the security of ballot marking devices. - Charles B. Delahunt, Mayoore S. Jaiswal, Matthew P. Horning, Samantha Janko, Clay M. Thompson, Sourabh Kulhare, Liming Hu, Travis Ostbye, Grace Yun, Roman Gebrehiwot, Benjamin K. Wilson, Earl Long, Stephane Proux, Dionicia Gamboa, Peter Chiodini, Jane Carter, Mehul Dhorda, David Isaboke, Bernhards Ogutu, Wellington Oyibo, Elizabeth Villasis, Kyaw Myo Tun, Christine Bachman, David Bell, Courosh Mehanian:
Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information. - Nathan Morrical, Will Usher, Ingo Wald, Valerio Pascucci:
Efficient Space Skipping and Adaptive Sampling of Unstructured Volumes Using Hardware Accelerated Ray Tracing. - Ronald Barber, Christian Garcia-Arellano, Ronen Grosman, Guy M. Lohman, C. Mohan, René Müller, Hamid Pirahesh, Vijayshankar Raman, Richard Sidle, Adam J. Storm, Yuanyuan Tian, Pinar Tözün, Yingjun Wu:
WiSer: A Highly Available HTAP DBMS for IoT Applications. - Farzaneh Derakhshan, Frank Pfenning:
Circular Proofs as Session-Typed Processes: A Local Validity Condition. - Naoki Shibata:
Blockchain Consensus Formation while Solving Optimization Problems. - Juheon Lee, Hyeong-Seok Choi, Chang-Bin Jeon, Junghyun Koo, Kyogu Lee:
Adversarially Trained End-to-end Korean Singing Voice Synthesis System. - Tianshu Hao, Yunyou Huang, Xu Wen, Wanling Gao, Fan Zhang, Chen Zheng, Lei Wang, Hainan Ye, Kai Hwang, Zujie Ren, Jianfeng Zhan:
Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking. - Qianyu Feng, Guoliang Kang, Hehe Fan, Yi Yang:
Attract or Distract: Exploit the Margin of Open Set. - Peng Yang, Feng Liu, Zhaojian Wang, Chen Shen:
Distributed Stability Conditions for Power Systems with Heterogeneous Nonlinear Bus Dynamics. - Indranil Jana, Alina Oprea:
AppMine: Behavioral Analytics for Web Application Vulnerability Detection. - Yassmeen Elderhalli, Osman Hasan, Sofiène Tahar:
A Formally Verified HOL Algebra for Dynamic Reliability Block Diagrams. - Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang:
Logic could be learned from images. - Chuanfeng Hu, Hongwei Lin:
Heterogeneous porous scaffold generation in trivariate B-spline solid with triply periodic minimal surface in the parametric domain. - Jerin Geo James, Pranay Agrawal, Ajit Rajwade:
Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations. - Shuyang Gao, Abhishek Sethi, Sanchit Agarwal, Tagyoung Chung, Dilek Hakkani-Tür:
Dialog State Tracking: A Neural Reading Comprehension Approach. - Wenkang Su, Jiangqun Ni, Yuanfeng Pan, Xianglei Hu, Qingliang Liu:
An Efficient JPEG Steganographic Scheme Design Using Domain Transformation of Embedding Cost. - Rui Wang, Xiaojun Wu, Josef Kittler:
Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning. - David Durfee, Laxman Dhulipala, Janardhan Kulkarni, Richard Peng, Saurabh Sawlani, Xiaorui Sun:
Parallel Batch-Dynamic Graphs: Algorithms and Lower Bounds. - Mingkun Yang, Yushuo Guan, Minghui Liao, Xin He, Kaigui Bian, Song Bai, Cong Yao, Xiang Bai:
Symmetry-constrained Rectification Network for Scene Text Recognition. - Xinwei He, Tengteng Huang, Song Bai, Xiang Bai:
View N-gram Network for 3D Object Retrieval. - Abhimitra Meka, Mohammad Shafiei, Michael Zollhöfer, Christian Richardt, Christian Theobalt:
Live Illumination Decomposition of Videos. - Peng Zhang, Xinyu Zhu, Zhanzhan Cheng, Shuigeng Zhou, Yi Niu:
REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing. - Dana Conard, Blake Vollmer, Corbin Shatto, Hannah Bowman, Sara Kassis:
Using the Makerspace to Create Educational Open-source Software for Electrical Circuits: A Learning Experience. - Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari:
Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction. - Aleksei Tyrylgin, Maria V. Vasilyeva, Denis Spiridonov, Eric T. Chung:
Generalized Multiscale Finite Element Method for the poroelasticity problem in multicontinuum media. - Shen Li, Chenhao Su, Renfen Hu, Zhengdong Lu:
Self-Balanced Dropout. - Haoran Zhang, Diane J. Litman:
Word Embedding for Response-To-Text Assessment of Evidence. - Yiqun Xu, Wei Hu, Shanshe Wang, Xinfeng Zhang, Shiqi Wang, Siwei Ma, Zongming Guo, Wen Gao:
Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds. - Jun Gao, Luyun Gan, Fabiola Buschendorf, Liao Zhang, Hua Liu, Peixue Li, Xiaodai Dong, Tao Lu:
Omni SCADA Intrusion Detection Using Deep Learning Algorithms. - Zixuan Chen, Huajun Zhou, Xiaohua Xie, Jianhuang Lai:
Contour Loss: Boundary-Aware Learning for Salient Object Segmentation. - Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang:
Semi-supervised Skin Detection by Network with Mutual Guidance. - Pengfei Zhu, Binyuan Hui, Changqing Zhang, Dawei Du, Longyin Wen, Qinghua Hu:
Multi-view Deep Subspace Clustering Networks. - Harsh Vamja, Richa Agrawal, Ranga Vemuri:
Non-Invasive Reverse Engineering of Finite State Machines Using Power Analysis and Boolean Satisfiability. - Haoran Zhang, Ahmed Magooda, Diane J. Litman, Richard Correnti, Elaine Wang, Lindsay Clare Matsumura, Emily Howe, Rafael Quintana:
eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing. - Haoran Zhang, Diane J. Litman:
Co-Attention Based Neural Network for Source-Dependent Essay Scoring. - Najmeh Ahang, Amin Jahromi Torabi, Mansour Doostfatemeh:
Comprehensive Fuzzy Turing Machines, An Evolution to the Concept of Finite State Machine Control. - Qi Fan, Wei Zhuo, Yu-Wing Tai:
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector. - Elad I. Farhi, Vadim Indelman:
Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm. - Honghui Mei, Wei Chen, Yating Wei, Yuanzhe Hu, Shuyue Zhou, Bingru Lin, Ying Zhao, Jiazhi Xia:
RSATree: Distribution-Aware Data Representation of Large-Scale Tabular Datasets for Flexible Visual Query. - Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro:
Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces. - Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun:
Consensus Maximization Tree Search Revisited. - Ronny Bergmann, Roland Herzog, Daniel Tenbrinck, José Vidal-Núñez:
Fenchel Duality for Convex Optimization and a Primal Dual Algorithm on Riemannian Manifolds. - Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu:
Full-Stack Filters to Build Minimum Viable CNNs. - Marius Beul, Sven Behnke:
Fast Time-optimal Avoidance of Moving Obstacles for High-Speed MAV Flight. - Stefano Massei, Leonardo Robol:
Rational Krylov for Stieltjes matrix functions: convergence and pole selection. - Akira Kawata, Atsushi Igarashi:
A Dependently Typed Multi-Stage Calculus. - Nusrah Hussain, Engin Erzin, T. Metin Sezgin, Yucel Yemez:
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents. - Xianfu Chen, Celimuge Wu, Tao Chen, Honggang Zhang, Zhi Liu, Yan Zhang, Mehdi Bennis:
Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective. - Yalong Yang, Tim Dwyer, Sarah Goodwin, Kim Marriott:
Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation. - Grégoire Bonin, Achour Mostéfaoui, Matthieu Perrin:
Wait-Free Universality of Consensus in the Infinite Arrival Model. - Matthias Bal, Hagen Triendl, Mariana Assmann, Michael Craig, Lawrence Phillips, Jarvist Moore Frost, Usman Bashir, Noor Shaker, Vid Stojevic:
Sparse hierarchical representation learning on molecular graphs. - Andreas Buhr:
Towards Automatic and Reliable Localized Model Order Reduction. - Yanlin Qian, Ke Chen, Huanglin Yu:
Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge. - Aiswarya Menon, Ravi Prakash, Laxmidhar Behera:
Adaptive Critic Based Optimal Kinematic Control for a Robot Manipulator. - Elvira Albert, Samir Genaim, Raúl Gutiérrez, Enrique Martin-Martin:
A Transformational Approach to Resource Analysis with Typed-norms Inference. - Yannick Pencolé, Éric Lubat, Silvano Dal-Zilio, Didier Le Botlan, Audine Subias:
A State Class Construction for Computing the Intersection of Time Petri Nets Languages. - Yalong Yang, Bernhard Jenny, Tim Dwyer, Kim Marriott, Haohui Chen, Maxime Cordeil:
Maps and Globes in Virtual Reality. - Yalong Yang, Tim Dwyer, Bernhard Jenny, Kim Marriott, Maxime Cordeil, Haohui Chen:
Origin-Destination Flow Maps in Immersive Environments. - Damien Chablat, Luc Rolland:
NAVARO II, a Novel Scissor-Based Planar Parallel Robot 1. - Zhongxiao Jia, Fa Wang:
The convergence of the Generalized Lanczos Trust-Region Method for the Trust-Region Subproblem. - Gozde Nur Gunesli, Cenk Sokmensuer, Cigdem Gunduz Demir:
AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks. - Mihai Cucuringu, Huan Li, He Sun, Luca Zanetti:
Hermitian matrices for clustering directed graphs: insights and applications. - David K. E. Green, Filip Rindler:
Model inference for Ordinary Differential Equations by parametric polynomial kernel regression. - Kevin D. Lux, Michael J. May, Carl A. Gunter:
WSEmail: A Retrospective on a System for Secure Internet Messaging Based on Web Services. - Fuyou Miao, Keju Meng, Yue Yu, Wenchao Huang, Yan Xiong, Xingfu Wang:
Tightly Coupled Secret Sharing and Its Application to Group Authentication. - Huikai Wu, Junge Zhang, Kaiqi Huang:
Point Cloud Super Resolution with Adversarial Residual Graph Networks. - Xuanyi Dong, Yi Yang:
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection. - Gorby Kabasele Ndonda, Ramin Sadre:
A Public Network Trace of a Control and Automation System. - Cathy Chua, Manny Rayner:
What do the founders of online communities owe to their users? - Anjul Kumar Tyagi, Ayush Kumar, Anshul Gandhi, Klaus Mueller:
Road Accidents in the UK (Analysis and Visualization). - Philipp Harzig, Yan-Ying Chen, Francine Chen, Rainer Lienhart:
Addressing Data Bias Problems for Chest X-ray Image Report Generation. - (Withdrawn) Above the Clouds: A Brief Survey.
- Rongrong Ji, Ke Li, Yan Wang, Xiaoshuai Sun, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, Jiebo Luo:
Semi-Supervised Adversarial Monocular Depth Estimation. - Longteng Guo, Jing Liu, Jinhui Tang, Jiangwei Li, Wei Luo, Hanqing Lu:
Aligning Linguistic Words and Visual Semantic Units for Image Captioning. - Sascha Gritzbach, Torsten Ueckerdt, Dorothea Wagner, Franziska Wegner, Matthias Wolf:
Engineering Negative Cycle Canceling for Wind Farm Cabling. - Aras R. Dargazany:
Deep learning research landscape & roadmap in a nutshell: past, present and future - Towards deep cortical learning. - Hiroshi Kuwajima, Fuyuki Ishikawa:
Adapting SQuaRE for Quality Assessment of Artificial Intelligence Systems. - Atsushi Koshiba, Takahiro Hirofuchi, Ryousei Takano, Mitaro Namiki:
A Software-based NVM Emulator Supporting Read/Write Asymmetric Latencies. - Maliheh Heydarpour Shahrezaei, Reza Tavoli:
Parallelization of Kmeans++ using CUDA. - Stevan Tomic, Federico Pecora, Alessandro Saffiotti:
Robby is Not a Robber (anymore): On the Use of Institutions for Learning Normative Behavior. - Jinseok Lee, Dit-Yan Yeung:
Knowledge Query Network: How Knowledge Interacts with Skills. - Leo Souquet, Amir Nakib:
Multi-node environment strategy for Parallel Deterministic Multi-Objective Fractal Decomposition. - Jay Lee, Jaskaran Singh, Moslem Azamfar:
Industrial Artificial Intelligence. - Jiangfan Han, Ping Luo, Xiaogang Wang:
Deep Self-Learning From Noisy Labels. - Dennis Banga, Peter Waiganjo:
Abnormality Detection in Musculoskeletal Radiographs with Convolutional Neural Networks(Ensembles) and Performance Optimization. - Ran Wang, Suhe Ye, Ke Li, Sam Kwong:
Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain. - Mohamed Yosri Sayadi:
On the maximum number of minimal connected dominating sets in convex bipartite graphs. - Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo:
Neural Blind Deconvolution Using Deep Priors. - Chen Ma, Chenxu Zhao, Hailin Shi, Li Chen, Jun-Hai Yong, Dan Zeng:
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks. - Sakshi Udeshi, Shanshan Peng, Gerald Woo, Lionell Loh, Louth Rawshan, Sudipta Chattopadhyay:
Model Agnostic Defence against Backdoor Attacks in Machine Learning. - Avinash Sudhodanan, Soheil Khodayari, Juan Caballero:
Cross-Origin State Inference (COSI) Attacks: Leaking Web Site States through XS-Leaks. - Pablo Picazo-Sanchez, Juan Tapiador, Gerardo Schneider:
After You, Please: Browser Extensions Order Attacks and Countermeasures. - Pierre Dupuy de la Grand'rive, Jean-François Hullo:
Knapsack Problem variants of QAOA for battery revenue optimisation. - Diego Díaz-Domínguez:
An Index for Sequencing Reads Based on The Colored de Bruijn Graph. - Michael Gene Dobbins, Andreas F. Holmsen, Tillmann Miltzow:
A Universality Theorem for Nested Polytopes. - O. V. Ageev, R. A. Sharipov:
On cylindrical regression in three-dimensional Euclidean space. - Gabrielle Lemire, Thierry Laliberté, Katia Turcot, Véronique Flamand, Alexandre Campeau-Lecours:
Preliminary design of a device to assist handwriting in children with movement disorders. - Andrey Belogaev, Evgeny M. Khorov, Artem N. Krasilov, Dmitri Shmelkin, Suwen Tang:
Conservative Link Adaptation for Ultra Reliable Low Latency Communications. - Ziyuan Huang, Changhong Fu, Yiming Li, Fuling Lin, Peng Lu:
Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking. - Keeley Criswell, Tosiron Adegbija:
A Survey of Phase Classification Techniques for Characterizing Variable Application Behavior. - Rawan Naous, Lazar Supic, Yoonhwan Kang, Ranko Seradejovic, Anish Singhani, Vladimir Stojanovic:
Tuning Algorithms and Generators for Efficient Edge Inference. - Giri P. Krishnan, Timothy Tadros, Ramyaa Ramyaa, Maxim Bazhenov:
Biologically inspired sleep algorithm for artificial neural networks. - Saeed Moazami, Mohammad Mahdi Naddaf Shargh, Srinivas Palanki, Hassan Zargarzadeh:
Design, Modeling, and Control of Norma: a Slider & Pendulum-Driven Spherical Robot. - Roman Voliansky, Andri Pranolo:
Parallel mathematical models of dynamic objects. - Guangyi Zhang, Vandad Davoodnia, Alireza Sepas-Moghaddam, Yaoxue Zhang, S. Ali Etemad:
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network. - S. M. A. Sharif, Ghulam Mujtaba, S. M. Nadim Uddin:
EdgeNet: A novel approach for Arabic numeral classification. - Ravi S. Raju, Mikko H. Lipasti:
BlurNet: Defense by Filtering the Feature Maps. - Costas Iordanou, Georgios Smaragdakis, Nikolaos Laoutaris:
Who's Tracking Sensitive Domains? - Aarne Talman, Antti Suni, Hande Çelikkanat, Sofoklis Kakouros, Jörg Tiedemann, Martti Vainio:
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations. - Jiasen Lu, Dhruv Batra, Devi Parikh, Stefan Lee:
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks. - Paul Barde, Julien Roy, Félix G. Harvey, Derek Nowrouzezahrai, Christopher J. Pal:
Promoting Coordination through Policy Regularization in Multi-Agent Reinforcement Learning. - Tianchi Huang, Chao Zhou, Rui-Xiao Zhang, Chenglei Wu, Xin Yao, Lifeng Sun:
Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning. - János Végh:
The performance wall of parallelized sequential computing: the dark performance and the roofline of performance gain. - Srijith Rajamohan, Alana Romanella, Amit Ramesh:
A Weakly-Supervised Attention-based Visualization Tool for Assessing Political Affiliation. - Zongze Ren, Guofu Yang, Shugong Xu:
Two-stage Training for Chinese Dialect Recognition. - Milad Moradi, Nasser Ghadiri:
Text Summarization in the Biomedical Domain. - Milad Moradi, Matthias Samwald:
Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts. - Nadine Havelange, Michel Dumontier, Birgit Wouters, Jona Linde, David Townend, Arno Riedl, Visara Urovi:
LUCE: A Blockchain Solution for monitoring data License accoUntability and CompliancE. - Dogancan Temel, Melvin J. Mathew, Ghassan AlRegib, Yousuf M. Khalifa:
Relative Afferent Pupillary Defect Screening through Transfer Learning. - Hassan Khosravian-Arab, Mohammad Reza Eslahchi:
Müntz Pseudo Spectral Method: Theory and Numerical Experiments. - Shih-Fu Chang, Alexander G. Hauptmann, Louis-Philippe Morency, Sameer K. Antani, Dick C. A. Bulterman, Carlos Busso, Joyce Yue Chai, Julia Hirschberg, Ramesh C. Jain, Ketan Mayer-Patel, Reuven Meth, Raymond J. Mooney, Klara Nahrstedt, Shrikanth S. Narayanan, Prem Natarajan, Sharon L. Oviatt, Balakrishnan Prabhakaran, Arnold W. M. Smeulders, Hari Sundaram, Zhengyou Zhang, Michelle X. Zhou:
Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps. - Omar Elazhary, Margaret-Anne D. Storey, Neil A. Ernst, Andy Zaidman:
Do as I Do, Not as I Say: Do Contribution Guidelines Match the GitHub Contribution Process? - Chia-Lun Yeh, Babak Loni, Mariëlle Hendriks, Henrike Reinhardt, Anne Schuth:
DpgMedia2019: A Dutch News Dataset for Partisanship Detection. - Mario Alessandro Barbara:
Proof of All: Verifiable Computation in a Nutshell. - Donghwan Shin, Salma Messaoudi, Domenico Bianculli, Annibale Panichella, Lionel C. Briand, Raimondas Sasnauskas:
Scalable Inference of System-level Models from Component Logs. - Martin Thomas Horsch, Christoph Niethammer, Gianluca Boccardo, Paola Carbone, Silvia Chiacchiera, Mara Chiricotto, Joshua D. Elliott, Vladimir Lobaskin, Philipp Neumann, Matthew Schiffels, Michael Seaton, Ilian T. Todorov, Jadran Vrabec, Welchy Leite Cavalcanti:
Semantic interoperability and characterization of data provenance in computational molecular engineering. - Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez, Denis Reilly, Paulo Lisboa, Beth Pineles:
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. - Lucas Faria Porto, Laise Nascimento Correia Lima, Ademir Franco, Donald M. Pianto, Carlos Eduardo Machado Palhares, Flavio de Barros Vidal:
Estimating sex and age for forensic applications using machine learning based on facial measurements from frontal cephalometric landmarks. - Kaiqing Zhang, Erik Miehling, Tamer Basar:
Online Planning for Decentralized Stochastic Control with Partial History Sharing. - Wenying Wu, Subhrajit Bhattacharya, Amanda Prorok:
Multi-Robot Path Deconfliction through Prioritization by Path Prospects. - Meiyi Ma, Ezio Bartocci, Lu Feng, John A. Stankovic:
Runtime Monitoring of Real time Safety Requirements in Smart Cities. - Chaoyu Guan, Yuhao Cheng, Hai Zhao:
Semantic Role Labeling with Associated Memory Network. - Youcheng Sun, Hana Chockler, Xiaowei Huang, Daniel Kroening:
Explaining Deep Neural Networks Using Spectrum-Based Fault Localization. - Aleksandar Haber:
Subspace Identification of Temperature Dynamics. - Hamed Fatemi Langroudi, Zachariah Carmichael, David Pastuch, Dhireesha Kudithipudi:
Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge. - Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron C. Courville, Marc G. Bellemare:
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment. - Bojana Gajic, Ariel Amato, Ramon Baldrich, Carlo Gatta:
Bag of Negatives for Siamese Architectures. - Subhash Lakshminarayana, Elena Veronica Belmega, H. Vincent Poor:
Moving-Target Defense for Detecting Coordinated Cyber-Physical Attacks in Power Grids. - Roozbeh Yousefzadeh, Dianne P. O'Leary:
Refining the Structure of Neural Networks Using Matrix Conditioning. - Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür:
Flexibly-Structured Model for Task-Oriented Dialogues. - Binh P. Nguyen, Vu Bao Hung Nguyen, Hien Nguyen, Pham Ngoc Phuong, The-Loc Nguyen, Quoc Truong Do, Luong Chi Mai:
Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging. - Xi Xiong, Teze Wang, Li Jin:
Evaluation of Headway Threshold-based Coordinated Platooning over a Cascade of Highway Junctions. - Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras:
Analytical Performance Models for NoCs with Multiple Priority Traffic Classes. - Anhong Guo, Ilter Canberk, Hannah Murphy, Andrés Monroy-Hernández, Rajan Vaish:
Blocks: Collaborative and Persistent Augmented Reality Experiences. - Bin Guo, Huihui Chen, Yan Liu, Chao Chen, Qi Han, Zhiwen Yu:
From Crowdsourcing to Crowdmining: Using Implicit Human Intelligence for Better Understanding of Crowdsourced Data. - Yuya Tsuda, Atsushi Igarashi, Tomoya Tabuchi:
Space-Efficient Gradual Typing in Coercion-Passing Style. - Amir Behrouzi-Far, Emina Soljanin:
Redundancy Scheduling in Systems with Bi-Modal Job Service Time Distribution. - Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng, Yi Niu, Shiliang Pu, Fei Wu, Futai Zou:
Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization. - John Brandt:
Text mining policy: Classifying forest and landscape restoration policy agenda with neural information retrieval. - Deli Qiao, Mustafa Cenk Gursoy:
Age-Optimal Power Control for Status Update Systems with Packet Based Transmissions. - Roman Ibrahimov, Evgeny V. Tsykunov, Vladimir Shirokun, Andrey Somov, Dzmitry Tsetserukou:
DronePick: Object Picking and Delivery Teleoperation with the Drone Controlled by a Wearable Tactile Display. - Andras Rozsa, Terrance E. Boult:
Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations. - Zhiwei Deng, Megha Nawhal, Lili Meng, Greg Mori:
Continuous Graph Flow for Flexible Density Estimation. - Jiwoong Park, Minsik Lee, Hyung Jin Chang, Kyuewang Lee, Jin Young Choi:
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning. - Rujia Li, David Galindo, Qi Wang:
Auditable Credential Anonymity Revocation Based on Privacy-Preserving Smart Contracts. - Ivan De Oliveira Nunes, Karim Eldefrawy, Norrathep Rattanavipanon, Gene Tsudik:
A Verified Architecture for Proofs of Execution on Remote Devices under Full Software Compromise. - Jun Chen, Ryosuke Watanabe, Keisuke Nonaka, Tomoaki Konno, Hiroshi Sankoh, Sei Naito:
A Robust Billboard-based Free-viewpoint Video Synthesizing Algorithm for Sports Scenes. - Deyuan Meng, Jingyao Zhang:
Optimization-Based Learning Control for Nonlinear Time-Varying Systems. - Vincent Falconieri:
Open Dataset of Phishing and Tor Hidden Services Screen-captures. - Manish Patel:
TinySearch - Semantics based Search Engine using Bert Embeddings. - Sai Vikas Desai, Akshay L. Chandra, Wei Guo, Seishi Ninomiya, Vineeth N. Balasubramanian:
An Adaptive Supervision Framework for Active Learning in Object Detection. - Xiaojie Wu, Xiaotao Li:
Absorbing boundary conditions for the time-dependent Schrödinger-type equations in R3. - Mohammad Shokri, Hamed Kebriaei:
Leader-Follower Network Aggregative Game with Stochastic Agents' Communication and Activeness. - Zhengzheng Tu, Yan Ma, Chenglong Li, Jin Tang, Bin Luo:
Edge-guided Non-local Fully Convolutional Network for Salient Object Detection. - Homa Esfahanizadeh, Lev Tauz, Lara Dolecek:
Multi-Dimensional Spatially-Coupled Code Design: Enhancing the Cycle Properties. - Mohammad Bavandpour, Shubham Sahay, Mohammad Reza Mahmoodi, Dmitri B. Strukov:
3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories. - Na Xu, Zhaoxia Yin:
Separable Reversible Data Hiding Based on MSB Prediction for Encrypted 3D Mesh Models. - Carlo Meloni, Shauli Ravfogel, Yoav Goldberg:
Ab Antiquo: Proto-language Reconstruction with RNNs. - Huayao Wu, Changhai Nie, Justyna Petke, Yue Jia, Mark Harman:
A Survey of Constrained Combinatorial Testing. - Eric Brachmann, Carsten Rother:
Expert Sample Consensus Applied to Camera Re-Localization. - Boyuan Jiang, Mengmeng Wang, Weihao Gan, Wei Wu, Junjie Yan:
STM: SpatioTemporal and Motion Encoding for Action Recognition. - Dmitrij Lagutin, Francesco Bellesini, Tommaso Bragatto, Alessio Cavadenti, Vincenzo Croce, Yki Kortesniemi, Helen C. Leligou, Yannis Oikonomidis, George C. Polyzos, Giuseppe Raveduto, Francesca Santori, Panagiotis Trakadas, Matteo Verber:
Secure Open Federation of IoT Platforms Through Interledger Technologies - The SOFIE Approach. - Sophia Knight, Bastien Maubert:
Dealing with imperfect information in Strategy Logic. - Zhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
Progressive Transfer Learning for Person Re-identification. - Guohui Zhao:
Multiply Periodic Splines. - Danqing Shi, Yang Shi, Xinyue Xu, Nan Chen, Siwei Fu, Hongjin Wu, Nan Cao:
Task-Oriented Optimal Sequencing of Visualization Charts. - Zeljko Kereta, Johannes Maly, Valeriya Naumova:
Linear convergence and support recovery for non-convex multi-penalty regularization. - Volodymyr Sokhatskyi, Olga Zvyeryeva, Ievgen Karaulov, Dmytro Tkanov:
Embedding-based system for the Text part of CALL v3 shared task. - Yu-Jie Yuan, Yu-Kun Lai, Jie Yang, Hongbo Fu, Lin Gao:
Mesh Variational Autoencoders with Edge Contraction Pooling. - Dmitry Nikulin, Anastasia Ianina, Vladimir Aliev, Sergey I. Nikolenko:
Free-Lunch Saliency via Attention in Atari Agents. - Rudy Arthur:
Modularity and Projection of Bipartite Networks. - Adar Ovadya, Rom Ogen, Yakov Mallah, Niv Gilboa, Yossi Oren:
Cross-Router Covert Channels. - Aleksandrs Belovs, Eric Blais, Abhinav Bommireddi:
Testing convexity of functions over finite domains. - Benjamin Bumpus, Patrick Prosser, James Trimble:
A Constraint Model for the Tree Decomposition of a Graph. - Vahid Andalib, Jyotirmoy Sarkar:
A Repairable System Supported by Two Spare Units and Serviced by Two Types of Repairers. - Will T. Nash, C. J. Powell, Tom Drummond, Nick Birbilis:
Automated Corrosion Detection Using Crowd Sourced Training for Deep Learning. - Renhao Cui, Gagan Agrawal, Rajiv Ramnath:
Tweets Can Tell: Activity Recognition using Hybrid Long Short-Term Memory Model. - Lei Chen, Chengqing Li:
Cryptanalyzing a Medical Privacy Protection Scheme based on DNA Coding and Chaos. - Yang Zhang, Vigen Arakelian, Baptiste Veron, Damien Chablat:
Key Features of the Coupled Hand-operated Balanced Manipulator (HOBM) and Lightweight Robot (LWR). - Blaz Skrlj, Jan Kralj, Nada Lavrac:
Embedding-based Silhouette Community Detection. - Meysam Ghaffari, Ashok Srinivasan, Anuj Mubayi, Xiuwen Liu, Krishnan Viswanathan:
Next-Generation High-Resolution Vector-Borne Disease Risk Assessment. - M. Dreux, L. Ginzburg, Philippe Bordure, Damien Chablat, Guillaume Michel:
Etat de l'art des systèmes robotisés en vue d'une application pour la chirurgie otologique. - Ghazal Ghazaei, Federico Tombari, Nassir Navab, Kianoush Nazarpour:
Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning. - Guillaume Michel, Damien Chablat, Philippe Bordure, Felix Péchereau, Pierre Schegg:
Analyse du besoin en assistance robotique dans la chirurgie de l'oreille. - Kyung-Min Kim, Dong-Hyun Kwak, Hanock Kwak, Young-Jin Park, Sangkwon Sim, Jae-Han Cho, Minkyu Kim, Jihun Kwon, Nako Sung, Jung-Woo Ha:
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation. - Shakila Khan Rumi, Phillip Luong, Flora D. Salim:
Crime Rate Prediction with Region Risk and Movement Patterns. - Afshin Sadeghi, Jens Lehmann:
Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter. - Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski:
Multiplex graph matching matched filters. - Akifumi Okuno, Hidetoshi Shimodaira:
Hyperlink Regression via Bregman Divergence. - Oscar Correa, Jeffrey Chan, Xuan Vinh Nguyen:
Alternative Blockmodelling. - Amr Al-Khatib, Samhaa R. El-Beltagy:
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification. - Daniel Hernández Serrano, Darío Sánchez Gómez:
Higher order degree in simplicial complexes, multi combinatorial Laplacian and applications of TDA to complex networks. - Sang-Hyeon Ahn:
Economic Power, Population, and the Size of Astronomical Community. - Alan Reyes, Jason T. Wright:
Towards a Comprehensive Bibliography for SETI. - Luke S. Snyder, Yi-Shan Lin, Morteza Karimzadeh, Dan Goldwasser, David S. Ebert:
Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness. - Gururaghav Raman, Bedoor K. AlShebli, Marcin Waniek, Talal Rahwan, Jimmy Chih-Hsien Peng:
How weaponizing disinformation can bring down a city's power grid. - Mostafa Sadeghi, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoder. - Mark Weber, Giacomo Domeniconi, Jie Chen, Daniel Karl I. Weidele, Claudio Bellei, Tom Robinson, Charles E. Leiserson:
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics. - Sven E. Hug, Mirjam Aeschbach:
Criteria for assessing grant applications: A systematic review. - Zihan Jiang, Wanling Gao, Lei Wang, Xingwang Xiong, Yuchen Zhang, Xu Wen, Chunjie Luo, Hainan Ye, Yunquan Zhang, Shengzhong Feng, Kenli Li, Weijia Xu, Jianfeng Zhan:
HPC AI500: A Benchmark Suite for HPC AI Systems. - Shikang Liu, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, Tijana Milenkovic:
The power of dynamic social networks to predict individuals' mental health. - Caroline Bird, Ruzanna Chitchyan:
Towards Requirements for a Demand Side Response Energy Management System for Households. - Drew Hemment, Ruth Aylett, Vaishak Belle, Dave Murray-Rust, Ewa Luger, Jane Hillston, Michael Rovatsos, Frank Broz:
Experiential AI. - Yunxiang Zhang, Chenglong Zhao, Bingbing Ni, Jian Zhang, Haoran Deng:
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks. - Yolanda Gil, Bart Selman:
A 20-Year Community Roadmap for Artificial Intelligence Research in the US. - Marco Rudolph, Bastian Wandt, Bodo Rosenhahn:
Structuring Autoencoders. - Fabian Sperrle, Jürgen Bernard, Michael Sedlmair, Daniel A. Keim, Mennatallah El-Assady:
Speculative Execution for Guided Visual Analytics. - Chen Shen, Rongrong Ji, Fuhai Chen, Xiaoshuai Sun, Xiangming Li:
Scene-based Factored Attention for Image Captioning. - Fabian Brickwedde, Steffen Abraham, Rudolf Mester:
Mono-Stixels: Monocular depth reconstruction of dynamic street scenes. - Gagandeep Singh, Lorenzo Chelini, Stefano Corda, Ahsan Javed Awan, Sander Stuijk, Roel Jordans, Henk Corporaal, Albert-Jan Boonstra:
Near-Memory Computing: Past, Present, and Future. - Yair Horesh, Noa Haas, Elhanan Mishraky, Yehezkel S. Resheff, Shir Meir Lador:
Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning. - Melanie Schmidt, Christian Sohler:
Fully dynamic hierarchical diameter k-clustering and k-center. - János Végh:
Classic versus modern computing: analogies with classic versus modern physics. - Wenjian Luo, Chenwang Wu, Nan Zhou, Li Ni:
Random Directional Attack for Fooling Deep Neural Networks. - Kaiyu Yang, Olga Russakovsky, Jia Deng:
SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition. - Jonás Serých, Jiri Matas:
Visual Coin-Tracking: Tracking of Planar Double-Sided Objects. - Cameron Trotter, Georgia Atkinson, Matthew Sharpe, A. Stephen McGough, Nick Wright, Per Berggren:
The Northumberland Dolphin Dataset: A Multimedia Individual Cetacean Dataset for Fine-Grained Categorisation. - Yuan Zhou, Bingzhang Hu, Ling Shao:
Dual-reference Age Synthesis. - Jorge A. Laval, Hao Zhou:
Large-scale traffic signal control using machine learning: some traffic flow considerations. - Yehonatan Buchnik, Roy Friedman:
A Generic Efficient Biased Optimizer for Consensus Protocols. - Markus Schütz, Michael Wimmer:
Rendering Point Clouds with Compute Shaders. - Jörg Wagner, Jan Mathias Köhler, Tobias Gindele, Leon Hetzel, Jakob Thaddäus Wiedemer, Sven Behnke:
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks. - Hsieng-Yung Huang, Ildar Farkhatdinov, Arash Arami, Mohamed Bouri, Etienne Burdet:
Cable-driven robotic interface for lower limb neuromechanics identification. - Andreas Herten, Thorsten Hater, Wouter Klijn, Dirk Pleiter:
Performance Comparison for Neuroscience Application Benchmarks. - Xunhua Dai, Chenxu Ke, Quan Quan, Kai-Yuan Cai:
Unified Simulation and Test Platform for Control Systems of Unmanned Vehicles. - Veeru Talreja, Matthew C. Valenti, Nasser M. Nasrabadi:
Zero-Shot Deep Hashing and Neural Network Based Error Correction for Face Template Protection. - Massimo Bartoletti, Letterio Galletta, Maurizio Murgia:
A minimal core calculus for Solidity contracts. - Laurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian:
I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. - Yoshihiro Kanamori, Yuki Endo:
Relighting Humans: Occlusion-Aware Inverse Rendering for Full-Body Human Images. - Martin Mihelich, Charles Dognin, Yan Shu, Michael Blot:
A Characterization of Mean Squared Error for Estimator with Bagging. - Lingjie Li, Wenjian Yu, Kim Batselier:
Faster Tensor Train Decomposition for Sparse Data. - Ian Fox, Jenna Wiens:
Advocacy Learning: Learning through Competition and Class-Conditional Representations. - Charith Perera, Mahmoud Barhamgi:
Augmenting Software Engineering Processes Towards Designing Privacy Aware Internet of Things Applications. - Qianyu Feng, Yu Wu, Hehe Fan, Chenggang Yan, Yi Yang:
Cascaded Revision Network for Novel Object Captioning. - Chonghuai Ma, Floris Laporte, Joni Dambre, Peter Bienstman:
Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout. - Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings. - Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu:
Learning Conditional Deformable Templates with Convolutional Networks. - Seth Gilbert, Wei Quan Lim:
Parallel Finger Search Structures. - Thomas Nowak, Joel Rybicki:
Byzantine Approximate Agreement on Graphs. - Wooshik Kim, Catherine Pavlov, Aaron M. Johnson:
Developing a Simple Model for Sand-Tool Interaction and Autonomously Shaping Sand. - Amir Mosavi, Pinar Öztürk, Kwok-Wing Chau:
Flood Prediction Using Machine Learning Models: Literature Review. - Kai Chen, Zhongrui Lin, Jian Wan, Lei Xu, Chungen Xu:
Multi-owner Secure Encrypted Search Using Searching Adversarial Networks. - Vítor N. Lourenço, Gabriela G. Silva, Leandro A. F. Fernandes:
Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval. - Arman Sargolzaei, Alireza Abbaspour, Carl D. Crane:
Control of Cooperative Unmanned Aerial Vehicles: Review of Applications, Challenges, and Algorithms. - Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou:
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs. - Emmanuel Luján, Juan A. Zuloaga Mellino, Alejandro D. Otero, Leonardo Rey Vega, Cecilia G. Galarza, Esteban E. Mocskos:
Extreme coverage in 5G Narrowband IoT: a LUT-based strategy to optimize shared channels. - Roozbeh Yousefzadeh, Dianne P. O'Leary:
Investigating Decision Boundaries of Trained Neural Networks. - Trevor Bostic, Jeff Stanley, John Higgins, Rachael L. Bradley-Montgomery, Justin F. Brunelle, Daniel Chudnov:
Exploring the Intersections of Web Science and Accessibility. - Alexander Grabner, Peter M. Roth, Vincent Lepetit:
GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild. - Flavien Prost, Nithum Thain, Tolga Bolukbasi:
Debiasing Embeddings for Reduced Gender Bias in Text Classification. - Nare Karapetyan, Jason Moulton, Ioannis M. Rekleitis:
Meander Based River Coverage by an Autonomous Surface Vehicle. - Tudor Ninacs, Balázs Matuz, Gianluigi Liva, Giulio Colavolpe:
Short Non-Binary Low-Density Parity-Check Codes for Phase Noise Channels. - Lulwah M. Alkwai, Michael L. Nelson, Michele C. Weigle:
Making Recommendations from Web Archives for "Lost" Web Pages. - Nare Karapetyan, Adam Braude, Jason Moulton, Joshua A. Burstein, Scott White, Jason M. O'Kane, Ioannis M. Rekleitis:
Riverine Coverage with an Autonomous Surface Vehicle over Known Environments. - Raphael C. Brito, Hansenclever de F. Bassani:
Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation. - Scott Gigante, Adam S. Charles, Smita Krishnaswamy, Gal Mishne:
Visualizing the PHATE of Neural Networks. - Quan Nguyen, Keng-Weng Lao, Phuong Vu, Surya Santoso:
Loss Minimization with Optimal Power Dispatch in Multi-Frequency HVac Power Systems. - Jason Moulton, Nare Karapetyan, Michail Kalaitzakis, Alberto Quattrini Li, Nikolaos I. Vitzilaios, Ioannis M. Rekleitis:
Dynamic Autonomous Surface Vehicle Controls Under Changing Environmental Forces. - Alexander Grabner, Peter M. Roth, Vincent Lepetit:
Location Field Descriptors: Single Image 3D Model Retrieval in the Wild. - Tom Diethe, Meelis Kull, Niall Twomey, Kacper Sokol, Hao Song, Miquel Perelló-Nieto, Emma Tonkin, Peter A. Flach:
HyperStream: a Workflow Engine for Streaming Data. - Leanne Dong, John van der Hoek:
An explicit numerical algorithm to the solution of Volterra integral equation of the second kind. - Aaron A. Reite, Scott Kangas, Zackery Steck, Steven Goley, Jonathan Von Stroh, Steven Forsyth:
Unsupervised Feature Learning in Remote Sensing. - Thomas Gabor, Philipp Altmann:
Benchmarking Surrogate-Assisted Genetic Recommender Systems. - Christopher Duffy:
A Note on Colourings of Connected Oriented Cubic Graphs. - Aloisio Dourado, Teófilo Emídio de Campos, Hansung Kim, Adrian Hilton:
EdgeNet: Semantic Scene Completion from RGB-D images. - Maria-Florina Balcan, Dan F. DeBlasio, Travis Dick, Carl Kingsford, Tuomas Sandholm, Ellen Vitercik:
How much data is sufficient to learn high-performing algorithms? - Zhentao Xia, Likai Wang, Weiguang Qu, Junsheng Zhou, Yanhui Gu:
Neural Network based Deep Transfer Learning for Cross-domain Dependency Parsing. - Maxwell Forbes, Ari Holtzman, Yejin Choi:
Do Neural Language Representations Learn Physical Commonsense? - Ernest Mwebaze, Timnit Gebru, Andrea Frome, Solomon Nsumba, Jeremy Tusubira:
iCassava 2019Fine-Grained Visual Categorization Challenge. - Wei Jing, Di Deng, Zhe Xiao, Yong Liu, Kenji Shimada:
Coverage Path Planning using Path Primitive Sampling and Primitive Coverage Graph for Visual Inspection. - Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber:
Mitigating Noisy Inputs for Question Answering. - Omid Mohamad Nezami, Mark Dras, Stephen Wan, Cécile Paris:
Image Captioning using Facial Expression and Attention. - Roman A. Solovyev, Iaroslav Melekhov, Timo Lesonen, Elias Vaattovaara, Osmo Tervonen, Aleksei Tiulpin:
Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio. - Yue Yin, Chenyan Xiong, Cheng Luo, Zhiyuan Liu:
Neural Document Expansion with User Feedback. - Peter Thiemann:
Intrinsically-Typed Mechanized Semantics for Session Types. - Vincent Falconieri:
VisJSClassificator - Manual Visual Collaborative Classification Graph-based Tool. - Omid Mohamad Nezami, Mark Dras, Stephen Wan, Cécile Paris, Len Hamey:
Towards Generating Stylized Image Captions via Adversarial Training. - Jason Teutsch, Sami Mäkelä, Surya Bakshi:
Bootstrapping a stable computation token. - Sourav Mukherjee, Tim Oates, Ryan Wright:
Graph Node Embeddings using Domain-Aware Biased Random Walks. - Guyue Hu, Bo Cui, Yuan He, Shan Yu:
Progressive Relation Learning for Group Activity Recognition. - Patrick Stotko, Stefan Krumpen, Max Schwarz, Christian Lenz, Sven Behnke, Reinhard Klein, Michael Weinmann:
A VR System for Immersive Teleoperation and Live Exploration with a Mobile Robot. - Deepan Das, Noor Mohammed Ghouse, Shashank Verma, Yin Li:
Semi Supervised Phrase Localization in a Bidirectional Caption-Image Retrieval Framework. - Chaocheng He, Jiang Wu, Qingpeng Zhang:
Research Leadership Flow Determinants and the Role of Proximity in Research Collaborations Networks. - Difei Gao, Ruiping Wang, Shiguang Shan, Xilin Chen:
From Two Graphs to N Questions: A VQA Dataset for Compositional Reasoning on Vision and Commonsense. - Filip Maric, Oliver Limoyo, Luka Petrovic, Trevor Ablett, Ivan Petrovic, Jonathan Kelly:
Fast Manipulability Maximization Using Continuous-Time Trajectory Optimization. - Tianhao Chen, Limei Cheng, Yang Liu, Wenchuan Jia, Shugen Ma:
Incremental Reinforcement Learning - a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods. - Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. - Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee:
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation. - Adeboye Stephen Oyeniran, Raimund Ubar, Maksim Jenihhin, Cemil Cem Gürsoy, Jaan Raik:
High-Level Combined Deterministic and Pseudoexhuastive Test Generation for RISC Processors. - Josue Ortega:
Obvious Manipulations in Cake-Cutting. - Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia:
Fast Point R-CNN. - Francesca Fantoni, Andrea Bacigalupo, Marco Paggi, José Reinoso:
A phase field approach for damage propagation in periodic microstructured materials. - Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki:
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior". - Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed:
Constrained domain adaptation for segmentation. - Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe:
Local Differential Privacy for Deep Learning. - Fabian Schilling, Julien Lecoeur, Fabrizio Schiano, Dario Floreano:
Learning Vision-based Flight in Drone Swarms by Imitation. - Marcell Wolnitza, Babette Dellen:
Feature selection of neural networks is skewed towards the less abstract cue. - Markus Haltmeier, Linh V. Nguyen, Daniel Obmann, Johannes Schwab:
Sparse 𝓁q-regularization of inverse problems with deep learning. - Yuki Nishida, Atsushi Igarashi:
Manifest Contracts with Intersection Types. - Volker Grimm:
A conjugate-gradient-type rational Krylov subspace method for ill-posed problems. - Felix Berkhahn, Richard Keys, Wajih Ouertani, Nikhil Shetty, Dominik Geißler:
One Model To Rule Them All. - Adam White, Artur S. d'Avila Garcez:
Measurable Counterfactual Local Explanations for Any Classifier. - Merav Parter:
Small Cuts and Connectivity Certificates: A Fault Tolerant Approach. - Andrew Gilbert, Matthew Trumble, Adrian Hilton, John P. Collomosse:
Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras. - Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz:
On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics. - Patrizio Angelini, Michael A. Bekos, Michael Kaufmann, Thomas Schneck:
Efficient Generation of Different Topological Representations of Graphs Beyond-Planarity. - Katerina Rysova, Magdaléna Rysová, Tomás Musil, Lucie Poláková, Ondrej Bojar:
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19. - Petr Svarný, Michael Tesar, Jan Kristof Behrens, Matej Hoffmann:
Safe physical HRI: Toward a unified treatment of speed and separation monitoring together with power and force limiting. - Liang Wu, Chengquan Zhang, Jiaming Liu, Junyu Han, Jingtuo Liu, Errui Ding, Xiang Bai:
Editing Text in the Wild. - Thomas Golda, Nils Murzyn, Chengchao Qu, Kristian Kroschel:
What goes around comes around: Cycle-Consistency-based Short-Term Motion Prediction for Anomaly Detection using Generative Adversarial Networks. - Roni Permana Saputra, Nemanja Rakicevic, Petar Kormushev:
Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data. - Gaël Rigaud:
3D Compton scattering imaging: study of the spectrum and contour reconstruction. - Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun:
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation. - Yan Liu, Xiwang Cao:
Optimal p-ary cyclic codes with two zeros. - Youngeun Kwon, Yunjae Lee, Minsoo Rhu:
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning. - Miguel Picallo, Adolfo Anta, Bart De Schutter:
Comparison of Bounds for Optimal PMU Placement for State Estimation in Distribution Grids. - Luan M. Vieira, Matteo Giacomini, Rubén Sevilla, Antonio Huerta:
A second-order face-centred finite volume method for elliptic problems. - Yunus Sarikaya, Özgür Erçetin:
Motivating Workers in Federated Learning: A Stackelberg Game Perspective. - Hyojin Park, Lars Lowe Sjösund, Youngjoon Yoo, Nojun Kwak:
ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules. - Minh-Ngoc Tran, Dang Hai Nguyen, Duy Nguyen:
Variational Bayes on Manifolds. - Jesse Hoey, Neil J. MacKinnon:
"Conservatives Overfit, Liberals Underfit": The Social-Psychological Control of Affect and Uncertainty. - Azin Ghazimatin, Rishiraj Saha Roy, Gerhard Weikum:
FAIRY: A Framework for Understanding Relationships between Users' Actions and their Social Feeds. - Patrick Stotko, Stefan Krumpen, Michael Weinmann, Reinhard Klein:
Efficient 3D Reconstruction and Streaming for Group-Scale Multi-Client Live Telepresence. - Emil Björnson, Luca Sanguinetti:
Scalable Cell-Free Massive MIMO Systems. - Gregor Daiß, Parsa Amini, John Biddiscombe, Patrick Diehl, Juhan Frank, Kevin A. Huck, Hartmut Kaiser, Dominic Marcello, David Pfander, Dirk Pflüger:
From Piz Daint to the Stars: Simulation of Stellar Mergers using High-Level Abstractions. - Lorenzo Andraghetti, Panteleimon Myriokefalitakis, Pier Luigi Dovesi, Belén Luque, Matteo Poggi, Alessandro Pieropan, Stefano Mattoccia:
Enhancing self-supervised monocular depth estimationwith traditional visual odometry. - Emil Björnson, Luca Sanguinetti:
Demystifying the Power Scaling Law of Intelligent Reflecting Surfaces and Metasurfaces. - Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, Hai-Tao Zheng:
CARL: Aggregated Search with Context-Aware Module Embedding Learning. - Chen Ma:
The Hitchhiker's Guide to LDA. - Zulkarnaen Hatala, Victor Puturuhu:
Viterbi Extraction tutorial with Hidden Markov Toolkit. - Abeer Aldayel, Walid Magdy:
Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media. - Markus Chimani, Philipp Kindermann, Fabrizio Montecchiani, Pavel Valtr:
Crossing Numbers of Beyond-Planar Graphs. - Jayadev Acharya, Ananda Theertha Suresh:
Optimal multiclass overfitting by sequence reconstruction from Hamming queries. - Daniel Hentzen, Thomas Stastny, Roland Siegwart, Roland Brockers:
Disturbance Estimation and Rejection for High-Precision Multirotor Position Control. - Vilma Virasjoki, Afzal S. Siddiqui, Fabricio Oliveira, Ahti Salo:
Utility-Scale Energy Storage in an Imperfectly Competitive Power Sector. - Patrick Lambrix:
Completing and Debugging Ontologies: state of the art and challenges. - Sajjad Abdoli, Luiz G. Hafemann, Jérôme Rony, Ismail Ben Ayed, Patrick Cardinal, Alessandro L. Koerich:
Universal Adversarial Audio Perturbations. - Qian Xu, Pinyi Ren, A. Lee Swindlehurst:
Rethinking Secure Precoding via Interference Exploitation: A Smart Eavesdropper Perspective. - Sobhan Soleymani, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
Defending Against Adversarial Iris Examples Using Wavelet Decomposition. - Artem Khyzha, Hagit Attiya, Alexey Gotsman:
Privatization-Safe Transactional Memories (Extended Version). - Paola Cascante-Bonilla, Kalpathy Sitaraman, Mengjia Luo, Vicente Ordonez:
Moviescope: Large-scale Analysis of Movies using Multiple Modalities. - Abeer AlDayel, Walid Magdy:
Assessing Sentiment of the Expressed Stance on Social Media. - Dequan Wang, Evan Shelhamer, Bruno A. Olshausen, Trevor Darrell:
Dynamic Scale Inference by Entropy Minimization. - W. A. Chamalee Wickrama Arachchi, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho:
On Max-Min SINR with MMSE Processing for Uplink Cell-Free Massive MIMO. - Yifan Sun, Linan Zhang, Hayden Schaeffer:
NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data. - Agrim Gupta, Piotr Dollár, Ross B. Girshick:
LVIS: A Dataset for Large Vocabulary Instance Segmentation. - Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama:
Rigid Graph Alignment. - Palak Bhushan, Claire J. Tomlin:
Design of the first sub-milligram flapping wing aerial vehicle. - Sebastian Frischbier, Mario Paic, Alexander Echler, Christian Roth:
Managing the Complexity of Processing Financial Data at Scale - an Experience Report. - Amor Ben Tanfous, Hassen Drira, Boulbaba Ben Amor:
Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition. - Andong Cao, Ali Dhanaliwala, Jianbo Shi, Terence P. Gade, Brian Park:
Image-based marker tracking and registration for intraoperative 3D image-guided interventions using augmented reality. - Umberto Martínez-Peñas:
Hamming and simplex codes for the sum-rank metric. - Jaehoon Koo, Veena B. Mendiratta, Muntasir Raihan Rahman, Anwar Walid:
Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics. - Xiaohong Liu, Yongrui Ma, Zhihao Shi, Jun Chen:
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing. - Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting:
Random Sum-Product Forests with Residual Links. - Yunxuan Zhang, Siwei Zhang, Yue He, Cheng Li, Chen Change Loy, Ziwei Liu:
One-shot Face Reenactment. - Supratik Chakraborty, Aditya A. Shrotri, Moshe Y. Vardi:
On Symbolic Approaches for Computing the Matrix Permanent. - Vikram Ravindra, Ananth Grama:
De-anonymization Attacks on Neuroimaging Datasets. - Ching-An Cheng, Xinyan Yan, Byron Boots:
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods. - Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han:
On the Variance of the Adaptive Learning Rate and Beyond. - Boyu Zhang, Azadeh Davoodi, Yu Hen Hu:
Efficient Inference of CNNs via Channel Pruning. - Shuyang Chen, John T. Wen:
Neural-Learning Trajectory Tracking Control of Flexible-Joint Robot Manipulators with Unknown Dynamics. - Mustafa Canim, Ashish Kundu, Josh Payne:
Uncheatable Machine Learning Inference. - Qianqian Zhang, Walid Saad, Mehdi Bennis:
Reflections in the Sky: Millimeter Wave Communication with UAV-Carried Intelligent Reflectors. - Wei-Chiu Ma, Ignacio Tartavull, Ioan Andrei Bârsan, Shenlong Wang, Min Bai, Gellért Máttyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky, Raquel Urtasun:
Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization. - Palak Bhushan, Claire J. Tomlin:
An Insect-scale Untethered Laser-powered Jumping Microrobot. - Palak Bhushan, Claire J. Tomlin:
An Insect-scale Self-sufficient Rolling Microrobot. - Matthew Abate, Eric Feron, Samuel Coogan:
Monitor-Based Runtime Assurance for Temporal Logic Specifications. - Charles Jeon, Oscar Castañeda, Christoph Studer:
A 354Mb/s 0.37mm^2 151mW 32-User 256-QAM Near-MAP Soft-Input Soft-Output Massive MU-MIMO Data Detector in 28nm CMOS. - Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Question-Agnostic Attention for Visual Question Answering. - Qiankun Tang, Shice Liu, Jie Li, Yu Hu:
PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection. - Sean Oesch, Scott Ruoti:
That Was Then, This Is Now: A Security Evaluation of Password Generation, Storage, and Autofill in Thirteen Password Managers. - Shengkai Zhang, Wei Wang, Sheyang Tang, Shi Jin, Tao Jiang:
Localizing Backscatters by a Single Robot With Zero Start-up Cost. - Fan Wei, Yongpeng Wu, Wen Chen, Yanlin Geng, Giuseppe Caire:
On the Fundamental Limits of MIMO Massive Access Communication. - Dongjun Kim, Tae-Sub Yun, Il-Chul Moon:
Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model. - Prateeti Mohapatra, Neelamadhav Gantayat, Gargi Banerjee Dasgupta:
Using Semantic Role Knowledge for Relevance Ranking of Key Phrases in Documents: An Unsupervised Approach. - Zhuojun Chen, Junhao Cheng, Yuchen Yuan, Dongping Liao, Yizhou Li, Jiancheng Lv:
Deep Density-aware Count Regressor. - Qiaochu Chen, Xinyu Wang, Xi Ye, Greg Durrett, Isil Dillig:
Multi-Modal Synthesis of Regular Expressions. - Caitlin Gray, Lewis Mitchell, Matthew Roughan:
Bayesian inference of network structure from information cascades. - Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, Jiang Yang:
Convex hull algorithms based on some variational models. - Wolfgang Arendt, Isabelle Chalendar, Robert Eymard:
Galerkin Approximation In Banach and Hilbert Spaces. - G. Duchamp, Nihar Gargava:
A localized version of the basic triangle theorem. - Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu:
Recognizing Part Attributes with Insufficient Data. - Marthe Bonamy, Cyril Gavoille, Michal Pilipczuk:
Shorter Labeling Schemes for Planar Graphs. - Yuka Ariki, Takuya Narihira:
Fully Convolutional Search Heuristic Learning for Rapid Path Planners. - Sébastien Boyaval:
Viscoelastic flows with conservation laws. - Niall H. Robinson, Joe Hamman, Ryan Abernathey:
Science needs to rethink how it interacts with big data: Five principles for effective scientific big data systems. - Björn Ebbinghaus:
Decision Making with Argumentation Graphs. - Björn Barz, Kai Schröter, Moritz Münch, Bin Yang, Andrea Unger, Doris Dransch, Joachim Denzler:
Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images. - Pierluigi Crescenzi, Pierre Fraigniaud, Ami Paz:
Trade-offs in Distributed Interactive Proofs. - Yimin Lin, Kai Wang, Wanxin Yi, Shiguo Lian:
Deep Learning based Wearable Assistive System for Visually Impaired People. - Bao Gia Doan, Ehsan Abbasnejad, Damith Chinthana Ranasinghe:
DeepCleanse: Input Sanitization Framework Against Trojan Attacks on Deep Neural Network Systems. - Jie Jiang, Riccardo Pozza, Nigel Gilbert, Klaus Moessner:
MakeSense: An IoT Testbed for Social Research of Indoor Activities. - Makarand Tapaswi, Marc T. Law, Sanja Fidler:
Video Face Clustering with Unknown Number of Clusters. - Antoon Purnal, Ingrid Verbauwhede:
Advanced profiling for probabilistic Prime+Probe attacks and covert channels in ScatterCache. - Miaojun Bai, Yan Zheng, Yun Shen:
Gradient Boosting Survival Tree with Applications in Credit Scoring. - Hiroshi Eto, Tesshu Hanaka, Yasuaki Kobayashi, Yusuke Kobayashi:
Parameterized Algorithms for Maximum Cut with Connectivity Constraints. - Qi He, Qijun Zhao, Ning Liu, Peng Chen, Zhihe Zhang, Rong Hou:
Distinguishing Individual Red Pandas from Their Faces. - Lina Zhao, Eric T. Chung:
A posteriori error estimates for the mortar staggered DG method. - Bo Wei, Kai Li, Chengwen Luo, Weitao Xu, Jin Zhang:
No Need of Data Pre-processing: A General Framework for Radio-Based Device-Free Context Awareness. - Hongfei Xu, Qiuhui Liu, Josef van Genabith:
UdS Submission for the WMT 19 Automatic Post-Editing Task. - Patrick Schäfer, Ulf Leser:
TEASER: Early and Accurate Time Series Classification. - Haoshuo Huang, Vihan Jain, Harsh Mehta, Alexander Ku, Gabriel Magalhães, Jason Baldridge, Eugene Ie:
Transferable Representation Learning in Vision-and-Language Navigation. - Palak Bhushan, Claire J. Tomlin:
New Wing Stroke and Wing Pitch Approaches for Milligram-scale Aerial Devices. - Xuan Yang, Zhengchao Chen, Baipeng Li, Dailiang Peng, Pan Chen, Bing Zhang:
A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning. - Alessia Bertugli, Paolo Galeone:
Learning to Grasp from 2.5D images: a Deep Reinforcement Learning Approach. - Dadi Bi, Yansha Deng, Massimiliano Pierobon, Arumugam Nallanathan:
Chemical Reactions-Based Microfluidic Transmitter and Receiver for Molecular Communication. - Andrés R. Masegosa, Rafael Cabañas, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón:
Probabilistic Models with Deep Neural Networks. - Kapil Sinha, Arun Viswanathan, Julian J. Bunn:
Tracking Temporal Evolution of Network Activity for Botnet Detection. - David López, Bilal Farooq:
Privacy-Aware Distributed Mobility Choice Modelling over Blockchain. - Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li:
Learn to Allocate Resources in Vehicular Networks. - Jialin Gao, Zhixiang Shi, Jiani Li, Yufeng Yuan, Jiwei Li, Xi Zhou:
Relation-Aware Pyramid Network (RapNet) for temporal action proposal. - Vincent Falconieri:
Carl-Hauser - Open Source Image Matching Algorithms Benchmarking Framework. - Wenmian Yang, Weijia Jia, Wenyuan Gao, Xiaojie Zhou, Yutao Luo:
Interactive Variance Attention based Online Spoiler Detection for Time-Sync Comments. - Michael Picheny, Zoltán Tüske, Brian Kingsbury, Kartik Audhkhasi, Xiaodong Cui, George Saon:
Challenging the Boundaries of Speech Recognition: The MALACH Corpus. - Lennard Kamenski:
On the smallest eigenvalue of finite element equations with meshes without regularity assumptions. - Brigitte Boden, Jan Flink, Robert Mischke, Kathrin Schaffert, Alexander Weinert, Annika Wohlan, Andreas Schreiber:
RCE: An Integration Environment for Engineering and Science. - Zheng Wang, Xiaojun Ye, Qiao Wang:
Zero-shot Feature Selection via Exploiting Semantic Knowledge. - David A. Bader, Paul Burkhardt:
A Linear Time Algorithm for Finding Minimum Spanning Tree Replacement Edges. - Mohammad Hafiz Ismail, Tajul Rosli Bin Razak, Muhamad Arif Hashim, Alif Faisal Ibrahim:
A Simple Recommender Engine for Matching Final-Year Project Student with Supervisor. - Michael Wray, Diane Larlus, Gabriela Csurka, Dima Damen:
Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings. - Minghui Zheng, Zhu Chen, Xiao Liang:
A Preliminary Study on A Physical Model Oriented Learning Algorithm with Application to UAVs. - Mark Anderson, David Vilares, Carlos Gómez-Rodríguez:
Artificially Evolved Chunks for Morphosyntactic Analysis. - Matteo Rucco, Luca Tesei, Emanuela Merelli:
Topological Run-time Monitoring for Complex Systems. - Jonathan Heek, Nal Kalchbrenner:
Bayesian Inference for Large Scale Image Classification. - Mohsen Ghaffari, Julian Portmann:
Improved Network Decompositions using Small Messages with Applications on MIS, Neighborhood Covers, and Beyond. - Peter Hertling, Gisela Krommes:
EXPSPACE-Completeness of the Logics K4xS5 and S4xS5 and the Logic of Subset Spaces, Part 1: ESPACE-Algorithms. - Johanna Johansen:
Making GDPR Usable: A Model to Support Usability Evaluations of Privacy. - Gonçalo Marcelino, David Semedo, André Mourão, Saverio G. Blasi, Marta Mrak, João Magalhães:
A Benchmark of Visual Storytelling in Social Media. - Peter Hertling, Gisela Krommes:
EXPSPACE-Completeness of the Logics K4xS5 and S4xS5 and the Logic of Subset Spaces, Part 2: EXPSPACE-Hardness. - Chieh Wu, Zulqarnain Khan, Yale Chang, Stratis Ioannidis, Jennifer G. Dy:
Deep Kernel Learning for Clustering. - Ibrahim Almarashdeh, Mutasem K. Alsmadi, Tamer Farag, Abdullah S. Albahussain, Usama A. Badawi, Njoud Altuwaijri, Hala Almaimoni, Fatima Asiry, Shahad Alowaid, Muneerah Alshabanah, Daniah Alrajhi, Amirah Al Fraihet, Ghaith M. Jaradat:
Real-Time Elderly Healthcare Monitoring Expert System Using Wireless Sensor Network. - Leendert A. Remmelzwaal, George F. R. Ellis, Jonathan Tapson:
One-time learning in a biologically-inspired Salience-affected Artificial Neural Network (SANN). - Sergio López Bernal, Alberto Huertas Celdrán, Gregorio Martínez Pérez, Michael Taynnan Barros, Sasitharan Balasubramaniam:
Cybersecurity in Brain-Computer Interfaces: State-of-the-art, opportunities, and future challenges. - Zongcheng Ji, Qiang Wei, Hua Xu:
BERT-based Ranking for Biomedical Entity Normalization. - Hendrik Maarand, Tarmo Uustalu:
Reordering Derivatives of Trace Closures of Regular Languages (Full Version). - Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang:
VisualBERT: A Simple and Performant Baseline for Vision and Language. - Mohamed Akrout:
On the Adversarial Robustness of Neural Networks without Weight Transport. - Úlfar Erlingsson, Ilya Mironov, Ananth Raghunathan, Shuang Song:
That which we call private. - Ian Osband, Yotam Doron, Matteo Hessel, John Aslanides, Eren Sezener, Andre Saraiva, Katrina McKinney, Tor Lattimore, Csaba Szepesvári, Satinder Singh, Benjamin Van Roy, Richard S. Sutton, David Silver, Hado van Hasselt:
Behaviour Suite for Reinforcement Learning. - Hongzhi Wang, Yang Song, Shihan Tang:
LSTM-based Flow Prediction. - Yixin Hu, Teseo Schneider, Bolun Wang, Denis Zorin, Daniele Panozzo:
Fast Tetrahedral Meshing in the Wild. - Jian Yang, Juno Kim, Morteza Hoseinzadeh, Joseph Izraelevitz, Steven Swanson:
An Empirical Guide to the Behavior and Use of Scalable Persistent Memory. - Manuel Borrazzo, Fabrizio Frati:
On the Edge-Length Ratio of Planar Graphs. - Miel Sharf, Daniel Zelazo:
A Data-Driven and Model-Based Approach to Fault Detection and Isolation in Networked Systems. - Sebastian Cmentowski, Andrey Krekhov, Ann-Marie Müller, Jens H. Krüger:
Toward a Taxonomy of Inventory Systems for Virtual Reality Games. - Frank Meng, Craig A. Morioka, Danne C. Elbers:
Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment. - Chen Wang, Qin Yu, Ruisen Luo, Dafeng Hui, Kai Zhou, Yanmei Yu, Chao Sun, Xiaofeng Gong:
Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification. - Dekel Tsur:
Kernel for Kt-free edge deletion. - Nandan Banerjee, Ryan C. Connolly, Dimitri A. Lisin, Jimmy Briggs, Manjunath Narayana, Mario E. Munich:
View management for lifelong visual maps. - Jorge Calvo-Zaragoza, Jan Hajic Jr., Alexander Pacha:
Understanding Optical Music Recognition. - Andrey Bayev, Ilya Gartseev, Ivan Chistyakov, Alexey Nikulin, Alexey V. Derevyankin, Mikhail Pikhletsky:
RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation. - Youssef Bassil:
Memory-Based Multi-Processing Method For Big Data Computation. - Ulysse Gérard, Dale Miller, Gabriel Scherer:
Functional programming with lambda-tree syntax. - Phil Ammirato, Alexander C. Berg:
A Mask-RCNN Baseline for Probabilistic Object Detection. - Jonas Kulhanek, Erik Derner, Tim de Bruin, Robert Babuska:
Vision-based Navigation Using Deep Reinforcement Learning. - Yash Mehta, Navonil Majumder, Alexander F. Gelbukh, Erik Cambria:
Recent Trends in Deep Learning Based Personality Detection. - Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker:
Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces. - Alessandra Lumini, Loris Nanni, Alice Codogno, Filippo Berno:
Learning morphological operators for skin detection. - Ranya Aloufi, Hamed Haddadi, David Boyle:
Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants. - Martin Weigert, Uwe Schmidt, Robert Haase, Ko Sugawara, Gene Myers:
Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy. - Nasser Aldaghri, Hessam Mahdavifar:
Physical Layer Secret Key Generation in Static Environments. - Wei Zhou, Le Guan, Peng Liu, Yuqing Zhang:
Good Motive but Bad Design: Why ARM MPU Has Become an Outcast in Embedded Systems. - Abelardo Duarte-Rodríguez, María Ángeles Rodríguez-Bellido, Diego Armando Rueda-Gómez, Elder J. Villamizar-Roa:
Numerical analysis for a chemotaxis-Navier-Stokes system. - Lukas Halgas, Ioannis Agrafiotis, Jason R. C. Nurse:
Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs). - Arindam Mitra, Chitta Baral, Aurgho Bhattacharjee, Ishan Shrivastava:
A Generate-Validate Approach to Answering Questions about Qualitative Relationships. - Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy, Jannik Strötgen, Gerhard Weikum:
TEQUILA: Temporal Question Answering over Knowledge Bases. - Aurelia Guy, Sema Berkiten:
A Distraction Score for Watermarks. - Hermes Senger, Jaime F. de Souza, Edson Satoshi Gomi, Fabio Luporini, Gerard J. Gorman:
Performance of Devito on HPC-Optimised ARM Processors. - Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Joshua Mack, Nirmal Kumbhare, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras:
Work-in-Progress: A Simulation Framework for Domain-Specific System-on-Chips. - Sahan Ahmad, S. M. Zobaed, Raju Gottumukkala, Mohsen Amini Salehi:
Edge Computing for User-Centric Secure Search on Cloud-Based Encrypted Big Data. - Yongxing Wang, Jun Bi:
Optimal charging guidance strategies for electric vehicles by considering dynamic charging requests in a time-varying road network. - Dohyun Kim, Kyeorye Lee, Jiyeon Kim, Junseok Kwon, Joongheon Kim:
Deep ensemble network with explicit complementary model for accuracy-balanced classification. - Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi:
Recent Advances in Deep Learning for Object Detection. - Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari:
Unconstrained Foreground Object Search. - Lingyue Shen, Huaxiong Huang, Ping Lin, Zilong Song, Shixin Xu:
An energy stable $C^0$ finite element scheme for a quasi-incompressible phase-field model of moving contact line with variable density. - Yang Liu, Jianpeng Zhang, Chao Gao, Jinghua Qu, Lixin Ji:
Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks. - Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong:
Bayesian Loss for Crowd Count Estimation with Point Supervision. - Leila Eftekhari, Soleiman Hosseinpour, Moein Khalighi:
A comparison between Caputo and Caputo-Fabrizio fractional derivatives for modelling Lotka-Volterra differential equations. - Zhanat Kappassov, Daulet Baimukashev, Zharaskhan Kuanyshuly, Yerzhan Massalin, Arshat Urazbayev, Huseyin Atakan Varol:
Color-Coded Fiber-Optic Tactile Sensor for an Elastomeric Robot Skin. - Hannah Lu, Daniel M. Tartakovsky:
Lagrangian Dynamic Mode Decomposition for Construction of Reduced-Order Models of Advection-Dominated Phenomena. - Kaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu:
Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data. - Guanghao Yin, Shouqian Sun, Hui Zhang, Dian Yu, Chao Li, Kejun Zhang, Ning Zou:
User independent Emotion Recognition with Residual Signal-Image Network. - Changhong Fu, Ziyuan Huang, Yiming Li, Ran Duan, Peng Lu:
Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus Verification. - Haokui Zhang, Chunhua Shen, Ying Li, Yuanzhouhan Cao, Yu Liu, Youliang Yan:
Exploiting temporal consistency for real-time video depth estimation. - Haoran Wu, Xingya Wang, Jiehui Xu, Weiqin Zou, Lingming Zhang, Zhenyu Chen:
Mutation Testing for Ethereum Smart Contract. - Martin Sulzmann, Kenny Zhuo Ming Lu:
Solving of Regular Equations Revisited (extended version). - Zhili Chen, Xiaoli Kan, Shun Zhang, Lin Chen, Yan Xu, Hong Zhong:
Differentially Private Aggregated Mobility Data Publication Using Moving Characteristics. - Junyu Gao, Qi Wang, Yuan Yuan:
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting. - Zhili Chen:
Efficient Three-party Computation: An Information-theoretic Approach from Cut-and-Choose. - Esra Erdem, Andrea Formisano, Germán Vidal, Fangkai Yang:
Introduction to the 35th International Conference on Logic Programming Special Issue. - Divesh Aggarwal, Jianwei Li, Phong Q. Nguyen, Noah Stephens-Davidowitz:
Slide Reduction, Revisited - Filling the Gaps in SVP Approximation. - Miroslav Bogdanovic, Ludovic Righetti:
Learning to Explore in Motion and Interaction Tasks. - Mythili Sharan Pala, Parayitam Laxminarayana, A. V. Ramana:
Unsupervised Stemming based Language Model for Telugu Broadcast News Transcription. - Inga Löser, Ajay Kumar Sampathirao, Steffen Hofmann, Jörg Raisch:
Fallback Strategies in Operation Control of Microgrids with Communication Failures. - Donghuo Zeng, Yi Yu, Keizo Oyama:
Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-modal Retrieval. - Haoting Liang, Donghuo Zeng, Yi Yu, Keizo Oyama:
Personalized Music Recommendation with Triplet Network. - Donghuo Zeng, Yi Yu, Keizo Oyama:
Audio-Visual Embedding for Cross-Modal MusicVideo Retrieval through Supervised Deep CCA. - Kyung Ho Park, Eunjo Lee, Huy Kang Kim:
Show Me Your Account: Detecting MMORPG Game Bot Leveraging Financial Analysis with LSTM. - Nadezhda Davydova, Dmitry Shchetinin, Gabriela Hug:
Optimization-based Settingless Algorithm Combining Protection and Fault Identification. - Xiaoqiang Wang, Liangjun Ke, Zhimin Qiao, Xinghua Chai:
Large-scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning. - Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty:
Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory. - Mojtaba Sedigh Fazli, Rachel V. Stadler, BahaaEddin AlAila, Stephen Andrew Vella, Silvia N. J. Moreno, Gary E. Ward, Shannon Quinn:
Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories. - Thomas Vogt, Evgeny Strekalovskiy, Daniel Cremers, Jan Lellmann:
Lifting methods for manifold-valued variational problems. - Arthur Franz, Oleksandr Antonenko, Roman Soletskyi:
A theory of incremental compression. - Li Zhong, Tiantian Zhang, Bo Yuan:
A Critical Note on the Evaluation of Clustering Algorithms. - Bo Zhang, Haiwen Zhang:
An approximate factorization method for inverse acoustic scattering with phaseless near-field data. - Marthe Bonamy, Oscar Defrain, Meike Hatzel, Jocelyn Thiebaut:
Avoidable paths in graphs. - Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How:
Towards Online Observability-Aware Trajectory Optimization for Landmark-based Estimators. - Satoshi Kosugi, Toshihiko Yamasaki, Kiyoharu Aizawa:
Object-Aware Instance Labeling for Weakly Supervised Object Detection. - Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee:
The rise and rise of interdisciplinary research: Understanding the interaction dynamics of three major fields - Physics, Mathematics & Computer Science. - Bakhadyr Khoussainov, Toru Takisaka:
Large Scale Geometries of Infinite Strings. - Evgeny M. Khorov, Anton Kiryanov, Alexander Krotov:
Cloud-based Management of Energy-Efficient Dense IEEE 802.11ax Networks. - Hao Chen, Xianmang He, Jian Weng, Liqing Xu:
New Constructions of Subspace Codes Using Subsets of MRD codes in Several Blocks. - Jonathan Howe, Kyle Pula, Aaron A. Reite:
Conditional Generative Adversarial Networks for Data Augmentation and Adaptation in Remotely Sensed Imagery. - Safa Alver, Ugur Halici:
Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance. - Bedoor K. AlShebli, Kinga Makovi, Talal Rahwan:
The Impact of Informal Mentorship in Academic Collaborations. - Hadrien Barral, Rémi Géraud-Stewart, Georges-Axel Jaloyan, David Naccache:
RISC-V: #AlphanumericShellcoding. - Sidney A. Feygin, Jessica R. Lazarus, Edward H. Forscher, Valentine Golfier-Vetterli, Jonathan W. Lee, Abhishek Gupta, Rashid A. Waraich, Colin J. R. Sheppard, Alexandre M. Bayen:
BISTRO: Berkeley Integrated System for Transportation Optimization. - Fredrik Hellman, Axel Målqvist, Siyang Wang:
Numerical upscaling for heterogeneous materials in fractured domains. - Xianda Deng, Hongyu Li, Wenpeng Yu, Weikang Wang, Yilu Liu:
Frequency Observations and Statistic Analysis of Worldwide Main Power Grids Using FNET/GridEye. - Saratchandra Indrakanti, Svetlana Strunjas, Shubhangi Tandon, Manojkumar Rangasamy Kannadasan:
Exploring the Effect of an Item's Neighborhood on its Sellability in eCommerce. - Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang:
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better. - Harish Kashyap K, Kiran Byadarhaly, Saumya Shah:
Supervised Negative Binomial Classifier for Probabilistic Record Linkage. - Philipp Grohs, Fabian Hornung, Arnulf Jentzen, Philipp Zimmermann:
Space-time error estimates for deep neural network approximations for differential equations. - Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang:
AutoGAN: Neural Architecture Search for Generative Adversarial Networks. - Satyaki Sikdar, Justus Hibshman, Tim Weninger:
Modeling Graphs with Vertex Replacement Grammars. - Yang Zhao, Yifan Liu, Chunhua Shen, Yongsheng Gao, Shengwu Xiong:
MobileFAN: Transferring Deep Hidden Representation for Face Alignment. - Dilini Rajapaksha, Christoph Bergmeir, Wray L. Buntine:
LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations. - Songyang Zhang, Jinsong Su, Jiebo Luo:
Exploiting Temporal Relationships in Video Moment Localization with Natural Language. - Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu:
Deep Structured Cross-Modal Anomaly Detection. - Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou:
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. - Haoqian Wang, Zhiwei Xu, Jun Xu, Wangpeng An, Lei Zhang, Qionghai Dai:
Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition. - Dingfu Zhou, Jin Fang, Xibin Song, Chenye Guan, Junbo Yin, Yuchao Dai, Ruigang Yang:
IoU Loss for 2D/3D Object Detection. - Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li:
StructureFlow: Image Inpainting via Structure-aware Appearance Flow. - Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang:
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach. - Aurobrata Ghosh, Zheng Zhong, Steve Cruz, Subbu Veeravasarapu, Terrance E. Boult, Maneesh Singh:
To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics. - Eleftherios Avramidis, Marta Lalik, Ozgur E. Akman:
SODECL: An Open Source Library for Calculating Multiple Orbits of a System of Stochastic Differential Equations in Parallel. - Guillaume Fertin, Christian Komusiewicz:
Graph Motif Problems Parameterized by Dual. - Qian Zhang, Yinhua Xia:
Discontinuous Galerkin methods for the Ostrovsky-Vakhnenko equation. - A. Roxana Pamfil, Sam D. Howison, Mason A. Porter:
Edge Correlations in Multilayer Networks. - Stanislav Morozov, Artem Babenko:
Unsupervised Neural Quantization for Compressed-Domain Similarity Search. - Jogendra Nath Kundu, Nishank Lakkakula, R. Venkatesh Babu:
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation. - Xinqian Gu, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen:
Temporal Knowledge Propagation for Image-to-Video Person Re-identification. - Duo Li, Aojun Zhou, Anbang Yao:
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions. - Corentin Barloy, Nathanaël Fijalkow, Nathan Lhote, Filip Mazowiecki:
A Robust Class of Linear Recurrence Sequences. - Grzegorz Dudek:
Data-Driven Randomized Learning of Feedforward Neural Networks. - Kenta Kobayashi, Takuya Tsuchiya:
Lectures on error analysis of interpolation on simplicial triangulations without the shape-regularity assumption and its applications to finite element methods, Part 1: two-dimensional Lagrange interpolation. - Ayoub Mars, Wael Adi:
Digitally Mutating NV-FPGAs into Physically Clone-Resistant Units. - Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao:
Stable spline identification of linear systems under missing data. - Changhao Chen, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction. - Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, R. Venkatesh Babu:
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions. - Satwik Patnaik, Mohammed Ashraf, Ozgur Sinanoglu, Johann Knechtel:
A Modern Approach to IP Protection and Trojan Prevention: Split Manufacturing for 3D ICs and Obfuscation of Vertical Interconnects. - Shoma Matsui, Kai Cai:
Secret Securing with Multiple Protections and Minimum Costs. - Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han:
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. - Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash, Kun Zhang:
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables. - Vanderson Martins do Rosário, Maurício Breternitz Jr., Edson Borin:
Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN). - Svenja Stark, Jan Peters, Elmar Rueckert:
Experience Reuse with Probabilistic Movement Primitives. - Nathanael L. Baisa:
Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning. - Gramoz Goranci, Monika Henzinger, Dariusz Leniowski, Alexander Svozil:
Fully Dynamic k-Center Clustering in Doubling Metrics. - Frosso Papanastasiou, Georgios Katsimpras, Georgios Paliouras:
Tensor Factorization with Label Information for Fake News Detection. - Afshin Oroojlooyjadid, Davood Hajinezhad:
A Review of Cooperative Multi-Agent Deep Reinforcement Learning. - Matthias Niedermaier, Martin Striegel, Felix Sauer, Dominik Merli, Georg Sigl:
Efficient Intrusion Detection on Low-Performance Industrial IoT Edge Node Devices. - Jun Zhao:
Optimizations with Intelligent Reflecting Surfaces (IRSs) in 6G Wireless Networks: Power Control, Quality of Service, Max-Min Fair Beamforming for Unicast, Broadcast, and Multicast with Multi-antenna Mobile Users and Multiple IRSs. - Sajad Darabi, Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh:
TAPER: Time-Aware Patient EHR Representation. - Gaoqi He, Zhenwei Ma, Binhao Huang, Bin Sheng, Yubo Yuan:
Dynamic Region Division for Adaptive Learning Pedestrian Counting. - Chuanxing Geng, Lue Tao, Songcan Chen:
Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning. - Yuwei Huang, Xiaopeng Mo, Jie Xu, Ling Qiu:
Reinforcement Learning for Maneuver Design in UAV-Enabled NOMA System with Segmented Channel. - Zhiyong Chen, Zongze Ren, Shugong Xu:
A Study on Angular Based Embedding Learning for Text-independent Speaker Verification. - Farhad Farokhi:
Discounted Differential Privacy: Privacy of Evolving Datasets over an Infinite Horizon. - Joshua Brakensiek, Ray Li, Bruce Spang:
Coded trace reconstruction in a constant number of traces. - Jason Teutsch, Michael Straka, Dan Boneh:
Retrofitting a two-way peg between blockchains. - Wenjie Mei, Chengyan Zhao, Masaki Ogura, Kenji Sugimoto:
Mixed $H_2/H_{\infty}$ Control for Markov Jump Linear Systems with State and Mode-observation Delays. - Vaibhav, Po-Yao Huang, Robert E. Frederking:
RWR-GAE: Random Walk Regularization for Graph Auto Encoders. - Sisi Li, Nan Li, Anouck Girard, Ilya V. Kolmanovsky:
Decision making in dynamic and interactive environments based on cognitive hierarchy theory: Formulation, solution, and application to autonomous driving. - Jia-Nan Guo, Xianling Mao, Xiao-Jian Jiang, Ying-Xiang Sun, Wei Wei, He Yan Huang:
Deep Hashing for Signed Social Network Embedding. - Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang:
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise. - Gabriel Gomes:
Open Traffic Models - A framework for hybrid simulation of transportation networks. - Sijing Li, Zhongjian Wang, Stephen S.-T. Yau, Zhiwen Zhang:
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method. - Tan Wang, Xing Xu, Yang Yang, Alan Hanjalic, Heng Tao Shen, Jingkuan Song:
Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking. - Kun Cheng, Hao-Zhi Huang, Chun Yuan, Lingyiqing Zhou, Wei Liu:
Multi-Frame Content Integration with a Spatio-Temporal Attention Mechanism for Person Video Motion Transfer. - Vincent Falconieri:
Douglas-Quaid - Open Source Image Matching Library. - Young Joon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi:
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. - Dominik Kowald, Matthias Traub, Dieter Theiler, Heimo Gursch, Emanuel Lacic, Stefanie N. Lindstaedt, Roman Kern, Elisabeth Lex:
Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets. - Dawei Li, Yan Cao, Guoliang Shi, Xin Cai, Yang Chen, Sifan Wang, Siyuan Yan:
An overlapping-free leaf segmentation method for plant point clouds. - Neri Merhav:
A Lagrange-Dual Lower Bound to the Error Exponent Function of the Typical Random Code. - Oliver Mothes, Joachim Denzler:
Self-supervised Data Bootstrapping for Deep Optical Character Recognition of Identity Documents. - Yanru Qu, Ting Bai, Weinan Zhang, Jian-Yun Nie, Jian Tang:
An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation. - Joakim Bruslund Haurum, Chris H. Bahnsen, Thomas B. Moeslund:
Is it Raining Outside? Detection of Rainfall using General-Purpose Surveillance Cameras. - Eleftherios Lampiris, Jingjing Zhang, Osvaldo Simeone, Petros Elia:
Fundamental Limits of Wireless Caching under Uneven-Capacity Channels. - Ramanathan S. Thinniyam, Georg Zetzsche:
Regular Separability and Intersection Emptiness are Independent Problems. - Emanuel Lacic, Dominik Kowald, Dieter Theiler, Matthias Traub, Lucky Kuffer, Stefanie N. Lindstaedt, Elisabeth Lex:
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric. - Yunshan Ma, Lizi Liao, Tat-Seng Chua:
Automatic Fashion Knowledge Extraction from Social Media. - Ahmadreza Montazerolghaem:
SIP Server Load Balancing Based on SDN. - Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin:
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels. - Yitian Yuan, Lin Ma, Wenwu Zhu:
Sentence Specified Dynamic Video Thumbnail Generation. - Tifenn Hirtzlin, Marc Bocquet, Bogdan Penkovsky, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Digital Biologically Plausible Implementation of Binarized Neural Networks with Differential Hafnium Oxide Resistive Memory Arrays. - Wenqiang Xu, Haiyang Wang, Fubo Qi, Cewu Lu:
Explicit Shape Encoding for Real-Time Instance Segmentation. - Damjan Vavpotic, Marko Robnik-Sikonja, Tomaz Hovelja:
Exploring the relations between net benefits of IT projects and CIOs' perception of quality of software development disciplines. - Arnaud de Mesmay, Marcus Schaefer, Eric Sedgwick:
Link Crossing Number is NP-hard. - Erin C. Carson:
An Adaptive $s$-step Conjugate Gradient Algorithm with Dynamic Basis Updating. - Sixian Li, Bin Duo, Xiaojun Yuan, Ying-Chang Liang, Marco Di Renzo:
Reconfigurable Intelligent Surface Assisted UAV Communication: Joint Trajectory Design and Passive Beamforming. - Rui Liu, Dominique Li:
An Efficient Skyline Computation Framework. - Tifenn Hirtzlin, Bogdan Penkovsky, Jacques-Olivier Klein, Nicolas Locatelli, Adrien F. Vincent, Marc Bocquet, Jean-Michel Portal, Damien Querlioz:
Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction. - Yuan Gao, Elena Sibirtseva, Ginevra Castellano, Danica Kragic:
Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction. - Andrea Mannocci, Francesco Osborne, Enrico Motta:
The Evolution of IJHCS and CHI: A Quantitative Analysis. - Leonel Merino, Ekaterina Kozlova, Oscar Nierstrasz, Daniel Weiskopf:
VISON: An Ontology-Based Approach for Software Visualization Tool Discoverability. - Federico Marinelli, Alessandra Cervone, Giuliano Tortoreto, Evgeny A. Stepanov, Giuseppe Di Fabbrizio, Giuseppe Riccardi:
Active Annotation: bootstrapping annotation lexicon and guidelines for supervised NLU learning. - Davide Taibi, Valentina Lenarduzzi, Claus Pahl:
Microservices Anti Patterns: A Taxonomy. - Sven Mallach:
A Natural Quadratic Approach to the Generalized Graph Layering Problem. - Zhou Yu, Yuhao Cui, Jun Yu, Dacheng Tao, Qi Tian:
Multimodal Unified Attention Networks for Vision-and-Language Interactions. - Haide Wang, Ji Zhou, Weiping Liu, Jianping Li, Xincheng Huang, Long Liu, Weixian Liang, Changyuan Yu, Fan Li, Zhaohui Li:
BGD-based Adam algorithm for time-domain equalizer in PAM-based optical interconnects. - Zhikang Zou, Huiliang Shao, Xiaoye Qu, Wei Wei, Pan Zhou:
Enhanced 3D convolutional networks for crowd counting. - Mika Mäntylä, Vahid Garousi:
Citations in Software Engineering - Paper-related, Journal-related, and Author-related Factors. - Roberto Annunziata, Christos Sagonas, Jacques Calì:
Jointly Aligning Millions of Images with Deep Penalised Reconstruction Congealing. - Matthias Niedermaier, Dominik Merli, Georg Sigl:
A Secure Dual-MCU Architecture for Robust Communication of IIoT Devices. - Pierangelo Rosati, Frank Fowley, Claus Pahl, Davide Taibi, Theo Lynn:
Right Scaling for Right Pricing: A Case Study on Total Cost of Ownership Measurement for Cloud Migration. - Monika Henzinger, Alexander Noe, Christian Schulz:
Shared-Memory Branch-and-Reduce for Multiterminal Cuts. - Jie Yang, Shi Jin, Chao-Kai Wen, Jiajia Guo, Michail Matthaiou:
3-D Positioning and Environment Mapping for mmWave Communication Systems. - Thomas Yuang Li, Shaoshan Liu:
Enabling Commercial Autonomous Space Robotic Explorers. - Ziteng Gao, Limin Wang, Gangshan Wu:
LIP: Local Importance-based Pooling. - Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski:
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data. - Shaobo Min, Hantao Yao, Hongtao Xie, Zheng-Jun Zha, Yongdong Zhang:
Domain-Specific Embedding Network for Zero-Shot Recognition. - Nils Gessert, Martin Gromniak, Marcel Bengs, Lars Matthäus, Alexander Schlaefer:
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels. - Johan Mazel, Rémi Strullu:
Identifying and characterizing ZMap scans: a cryptanalytic approach. - Anup Bhattacharya, Arijit Bishnu, Arijit Ghosh, Gopinath Mishra:
Hyperedge Estimation using Polylogarithmic Subset Queries. - Andreas Darmann, Janosch Döcker:
On simplified NP-complete variants of Not-All-Equal 3-Sat and 3-Sat. - Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach:
Assessing the Quality of Scientific Papers. - Alireza Sheikh, Alexandre Graell i Amat, Alex Alvarado:
On Product Codes with Probabilistic Amplitude Shaping for High-Throughput Fiber-Optic Systems. - Shigang Li, Tal Ben-Nun, Salvatore Di Girolamo, Dan Alistarh, Torsten Hoefler:
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations. - Ye Xue, Diego Klabjan, Yuan Luo:
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension. - Gino Brunner, Yang Liu, Damián Pascual, Oliver Richter, Roger Wattenhofer:
On the Validity of Self-Attention as Explanation in Transformer Models. - Teemu Ruokolainen, Pekka Kauppinen, Miikka Silfverberg, Krister Lindén:
A Finnish News Corpus for Named Entity Recognition. - Hudson Borges, Marco Túlio Valente:
How do Developers Promote Open Source Projects? - Murthy Durbhakula:
MLP Aware Scheduling Techniques in Multithreaded Processors. - Daniel Mutembesa, Christopher Omongo, Ernest Mwebaze:
Crowdsourcing real-time viral disease and pest information. A case of nation-wide cassava disease surveillance in a developing country. - Fábio Pinto, Marco O. P. Sampaio, Pedro Bizarro:
Automatic Model Monitoring for Data Streams. - Weizhang Huang, Lennard Kamenski, Jens Lang:
A new anisotropic mesh adaptation method based upon hierarchical a posteriori error estimates. - Murthy Durbhakula:
Cache Optimization for Memory Intensive Workloads on Multi-socket Multi-core servers. - Hanzaleh Akbari Nodehi, Mohammad Ali Maddah-Ali:
Secure Coded Multi-Party Computation for Massive Matrix Operations. - Tsong-Ming Liaw, Simon C. Lin:
A General Theory of Concept Lattice (II): Tractable Lattice Construction and Implication Extraction. - Emanuela Merelli, Anita Wasilewska:
Topological Interpretation of Interactive Computation. - Mircea Namolaru, Thierry Goubier:
Recursion, Probability, Convolution and Classification for Computations. - Julian Marcon, David A. Kopriva, Spencer J. Sherwin, Joaquim Peiró:
Naturally curved quadrilateral mesh generation using an adaptive spectral element solver. - Peng Gao, Haoxuan You, Zhanpeng Zhang, Xiaogang Wang, Hongsheng Li:
Multi-modality Latent Interaction Network for Visual Question Answering. - Dan R. Ghica:
The far side of the cube. - Ümit Rusen Aktas, Chao Zhao, Marek Sewer Kopicki, Ales Leonardis, Jeremy L. Wyatt:
Deep Dexterous Grasping of Novel Objects from a Single View. - Cagri Ozcinar, Aakanksha Rana, Aljosa Smolic:
Super-resolution of Omnidirectional Images Using Adversarial Learning. - Sean Welleck, Ilia Kulikov, Stephen Roller, Emily Dinan, Kyunghyun Cho, Jason Weston:
Neural Text Generation with Unlikelihood Training. - Royston Rodrigues, Neha Bhargava, Rajbabu Velmurugan, Subhasis Chaudhuri:
Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection. - Daewon Seo, Anas Chaaban, Lav R. Varshney, Mohamed-Slim Alouini:
Classes of Full-Duplex Channels with Capacity Achieved Without Adaptation. - Nachum Dershowitz:
Nonleaf Patterns in Trees: Protected Nodes and Fine Numbers. - Sanidhya Mangal, Poorva Joshi, Rahul Modak:
LSTM vs. GRU vs. Bidirectional RNN for script generation. - John Kanji, David I. W. Levin:
Convolutional Humanoid Animation via Deformation. - Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng:
Feature Partitioning for Efficient Multi-Task Architectures. - Nilavra Bhattacharya, Qing Li, Danna Gurari:
Why Does a Visual Question Have Different Answers? - Sharmin Pathan:
AI Décor. - Guo-Hua Wang, Jianxin Wu:
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning. - Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing Yang, Yuting Xiao, Shenghua Gao, Jiang Liu:
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis. - Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez:
Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance. - Francesco Ventura, Tania Cerquitelli:
What's in the box? Explaining the black-box model through an evaluation of its interpretable features. - Richard Cobos, Jefferson Hernandez, Andres G. Abad:
A fast multi-object tracking system using an object detector ensemble. - Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida:
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation. - Dong Cao, Lisha Xu, Haibo Chen:
Action Recognition in Untrimmed Videos with Composite Self-Attention Two-Stream Framework. - Shahriar Sefati, Shahin Sefati, Iulian Iordachita, Russell H. Taylor, Mehran Armand:
Learning to Detect Collisions for Continuum Manipulators without a Prior Model. - Divyam Madaan, Sung Ju Hwang:
Adversarial Neural Pruning. - Mansi Gupta, Nitish Kulkarni, Raghuveer Chanda, Anirudha Rayasam, Zachary C. Lipton:
AmazonQA: A Review-Based Question Answering Task. - Nyyti Saarimäki:
Methodological Issues in Observational Studies. - Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation. - Shu Yang, Laizhong Cui, Xinhao Deng, Qi Li, Yulei Wu, Mingwei Xu, Dan Wang, Jianping Wu:
Two Dimensional Router: Design and Implementation. - Grzegorz Cisek, Tomasz P. Zielinski:
Prototyping Software Transceiver for the 5G New Radio Physical Uplink Shared Channel. - Jeffrey M. Dudek, Leonardo Dueñas-Osorio, Moshe Y. Vardi:
Efficient Contraction of Large Tensor Networks for Weighted Model Counting through Graph Decompositions. - Dalton D. Lunga, Jonathan Gerrand, Hsiuhan Lexie Yang, Christopher Layton, Robert N. Stewart:
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics. - Ameer Pasha Hosseinbor, Renat Zhdanov, Alexander Ushveridze:
An Unsupervised, Iterative N-Dimensional Point-Set Registration Algorithm. - Zheng Liu, Zidong Jiang, Feng Wei:
OD-GCN object detection by knowledge graph with GCN. - Koba Natroshvili:
Detection of the Group of Traffic Signs with Central Slice Theorem. - Muhammad K. A. Hamdan, Diane T. Rover, John Just:
Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth. - Faruk Ahmed, Aaron C. Courville:
Detecting semantic anomalies. - Moustafa Alzantot, Amy Widdicombe, Simon Julier, Mani B. Srivastava:
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning. - Stefan Langer, Robert Müller, Kyrill Schmid, Claudia Linnhoff-Popien:
Difficulty Classification of Mountainbike Downhill Trails utilizing Deep Neural Networks. - Fei Xue, Xin Wang, Zike Yan, Qiuyuan Wang, Junqiu Wang, Hongbin Zha:
Local Supports Global: Deep Camera Relocalization with Sequence Enhancement. - Husein Perez, Joseph H. M. Tah, Amir Mosavi:
Deep Learning for Detecting Building Defects Using Convolutional Neural Networks. - Umut Ozkaya, Levent Seyfi:
Fine-Tuning Models Comparisons on Garbage Classification for Recyclability. - Xiaolin Wu, Xi Zhang, Jun Du:
Challenge of Spatial Cognition for Deep Learning. - Andrew Jason Shepley:
Face Recognition in Unconstrained Conditions: A Systematic Review. - Marios Zarifakis, William T. Coffey, Yuri P. Kalmykov, Serguey V. Titov, Declan J. Byrne, Stephen J. Carrig:
Active Damping of Power Oscillations Following Frequency Changes in Low Inertia Power Systems. - Marios Zarifakis, Declan J. Byrne, William T. Coffey, Yuri P. Kalmykov, Serguey V. Titov, Stephen J. Carrig:
Comparison of coupled nonlinear oscillator models for the transient response of power generating stations connected to low inertia systems. - Yo-Sub Han, Hwee Kim:
Cyclic Oritatami Systems Cannot Fold Infinite Fractal Curves. - Afroza Shirin, Isaac S. Klickstein, Francesco Sorrentino:
Stability Analysis of Reservoir Computers Dynamics via Lyapunov Functions. - Rui Chen, Songfang Han, Jing Xu, Hao Su:
Point-Based Multi-View Stereo Network. - Navid Rezazadeh, Solmaz S. Kia:
A sub-modular receding horizon solution for mobile multi-agent persistent monitoring. - Mark A. Taylor, Oksana Guba, Andrew Steyer, Paul A. Ullrich, David Hall, Christopher Eldred:
An energy consistent discretization of the nonhydrostatic equations in primitive variables. - Juntao Chen, Quanyan Zhu, Tamer Basar:
Dynamic Contract Design for Systemic Cyber Risk Management of Interdependent Enterprise Networks. - Philip Bontrager, Ahmed Khalifa, Damien Anderson, Matthew Stephenson, Christoph Salge, Julian Togelius:
Superstition in the Network: Deep Reinforcement Learning Plays Deceptive Games. - Rui Yang, Yabin Zhu, Xiao Wang, Chenglong Li, Jin Tang:
Learning Target-oriented Dual Attention for Robust RGB-T Tracking. - Xi Zheng, Sheng Zhou, Zhisheng Niu:
Context-Aware Information Lapse for Timely Status Updates in Remote Control Systems. - Abdulrahman Alreshidi:
Towards Security as a Service to Protect the Critical Resources of Mobile Computing Devices. - Adel Kacem, Abdelaziz Dammak:
Multi-objective scheduling on two dedicated processors. - Pedro Savarese:
On the Convergence of AdaBound and its Connection to SGD. - Jixue Liu, Selasi Kwashie, Jiuyong Li, Lin Liu, Michael Bewong:
Linking Graph Entities with Multiplicity and Provenance. - Florian Hofer, Martin A. Sehr, Antonio Iannopollo, Ines Ugalde, Alberto L. Sangiovanni-Vincentelli, Barbara Russo:
Industrial Control via Application Containers: Migrating from Bare-Metal to IAAS. - Hyeon Woo Lee, Mert R. Sabuncu, Adrian V. Dalca:
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation. - Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda:
Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks. - Peng Qi, Juan Cao, Tianyun Yang, Junbo Guo, Jintao Li:
Exploiting Multi-domain Visual Information for Fake News Detection. - Rahim Taheri, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Ali Miri, Mauro Conti:
On Defending Against Label Flipping Attacks on Malware Detection Systems. - Thomas Seiller, Steffen Jost:
Proceedings Third Joint Workshop on Developments in Implicit Computational complExity and Foundational & Practical Aspects of Resource Analysis, DICE-FOPARA@ETAPS 2019, Prague, Czech Republic, April 6-7, 2019. EPTCS 298, 2019 [contents] - Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna:
Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization. - Surabhi Datta, Yuqi Si, Laritza Rodriguez, Sonya E. Shooshan, Dina Demner-Fushman, Kirk Roberts:
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning. - Ziqi Yan, Gang Li, Jiqiang Liu:
Private Rank Aggregation under Local Differential Privacy. - Hamidreza Moradi, Wei Wang, Amanda S. Fernandez, Dakai Zhu:
uPredict: A User-Level Profiler-Based Predictive Framework for Single VM Applications in Multi-Tenant Clouds. - Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
Regional Tree Regularization for Interpretability in Black Box Models. - Trygve Bærland:
An Auxiliary Space Preconditioner for Fractional Laplacian of Negative Order. - Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon:
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation. - Michael Flanders:
A Simple and Intuitive Algorithm for Preventing Directory Traversal Attacks. - Ang Li, Jianzhong Qi, Rui Zhang, Ramamohanarao Kotagiri:
Boosted GAN with Semantically Interpretable Information for Image Inpainting. - Huashan Chen, Marcus Pendleton, Laurent Njilla, Shouhuai Xu:
A Survey on Ethereum Systems Security: Vulnerabilities, Attacks and Defenses. - Ranadeep Biswas, Constantin Enea:
On the Complexity of Checking Transactional Consistency. - Ruslan Nikolaev:
A Scalable, Portable, and Memory-Efficient Lock-Free FIFO Queue. - Jiageng Mao, Xiaogang Wang, Hongsheng Li:
Interpolated Convolutional Networks for 3D Point Cloud Understanding. - Zhi-Hong Deng:
Beyond the Inverted Index. - Usama Naseer, Theophilus Benson:
ConfigTron: Tackling network diversity with heterogeneous configurations. - Jin Xia, Jiajun Tang, Cewu Lu:
Three Branches: Detecting Actions With Richer Features. - Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao Zhang:
SDM-NET: Deep Generative Network for Structured Deformable Mesh. - Ronit Kumar, Lidong Cheng, Bin Xie, Feng Xiao:
THINC-scaling scheme that unifies VOF and level set methods. - Jiangnan Xia, Chen Wu, Ming Yan:
Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning. - Gudbjartur Ingi Sigurbergsson, Leon Derczynski:
Offensive Language and Hate Speech Detection for Danish. - Wenbo Gong, Sebastian Tschiatschek, Richard E. Turner, Sebastian Nowozin, José Miguel Hernández-Lobato, Cheng Zhang:
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model. - Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King:
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. - Bruce Collie, Philip Ginsbach, Michael F. P. O'Boyle:
Type-Directed Program Synthesis and Constraint Generation for Library Portability. - Rémi Abgrall, Philipp Öffner, Hendrik Ranocha:
Reinterpretation and Extension of Entropy Correction Terms for Residual Distribution and Discontinuous Galerkin Schemes. - Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rueckert:
Loop Closure Detection in Closed Environments. - René Bødker Christensen, Olav Geil:
On Steane-Enlargement of Quantum Codes from Cartesian Product Point Sets. - Jenni Raitoharju, Alexandros Iosifidis:
Null Space Analysis for Class-Specific Discriminant Learning. - Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rueckert:
Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors. - Fernando Alva-Manchego, Louis Martin, Carolina Scarton, Lucia Specia:
EASSE: Easier Automatic Sentence Simplification Evaluation. - Yue Wang, Yao Wan, Chenwei Zhang, Lixin Cui, Lu Bai, Philip S. Yu:
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking. - Erik Sy:
Enhanced Performance and Privacy via Resolver-Less DNS. - Wei Wang, Bin Bi, Ming Yan, Chen Wu, Zuyi Bao, Liwei Peng, Luo Si:
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. - Matteo Cinelli, Leto Peel, Antonio Iovanella, Jean-Charles Delvenne:
Network constraints on the mixing patterns of binary node metadata. - Gernot Herbst:
A Building-Block Approach to State-Space Modeling of DC-DC Converter Systems. - Gernot Herbst:
A Simulative Study on Active Disturbance Rejection Control (ADRC) as a Control Tool for Practitioners. - Hajime Taira, Ignacio Rocco, Jirí Sedlár, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla, Torsten Sattler, Akihiko Torii:
Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization. - Seung-Woo Ko, Hyukjin Chae, Kaifeng Han, Seungmin Lee, Kaibin Huang:
V2X-Based Vehicular Positioning: Opportunities, Challenges, and Future Directions. - Gernot Herbst:
Practical Active Disturbance Rejection Control: Bumpless Transfer, Rate Limitation and Incremental Algorithm. - Sergii Kushch, Silvio Ranise, Giada Sciarretta:
Blockchain Tree for eHealth. - Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data. - Mohammed Khwaja, Sumer S. Vaid, Sara Zannone, Gabriella M. Harari, A. Aldo Faisal, Aleksandar Matic:
Modeling Personality vs. Modeling Personalidad: In-the-wild Mobile Data Analysis in Five Countries Suggests Cultural Impact on Personality Models. - Chien-Sheng Wu, Andrea Madotto, Zhaojiang Lin, Peng Xu, Pascale Fung:
Getting To Know You: User Attribute Extraction from Dialogues. - Jakub Michaliszyn, Jan Otop:
Non-deterministic weighted automata evaluated over Markov chains. - Sarah Wiegreffe, Yuval Pinter:
Attention is not not Explanation. - Xindi Wang, Onur Varol, Tina Eliassi-Rad:
L2P: An Algorithm for Estimating Heavy-tailed Outcomes. - Tiago Machado, Daniel Gopstein, Oded Nov, Angela Wang, Andy Nealen, Julian Togelius:
Evaluation of a Recommender System for Assisting Novice Game Designers. - Alexander Telnykh, Irina V. Nuidel, Yu. R. Samorodova:
Construction of efficient detectors for character information recognition. - Omkarendra Tiwari, Rushikesh K. Joshi:
Extract Method Refactoring by Successive Edge Contraction. - Frantisek Blahoudek, Juraj Major, Jan Strejcek:
LTL to Smaller Self-Loop Alternating Automata and Back. - Abdullah Rashwan, Agastya Kalra, Pascal Poupart:
Matrix Nets: A New Deep Architecture for Object Detection. - Thomas P. Wihler, Marcel Wirz:
Stability and Convergence of Spectral Mixed Discontinuous Galerkin Methods for 3D Linear Elasticity on Anisotropic Geometric Meshes. - William H. Weir, Benjamin Walker, Lenka Zdeborová, Peter J. Mucha:
Modularity belief propagation on multilayer networks to detect significant community structure. - Vladimir N. Temlyakov, Mario Ullrich:
On the fixed volume discrepancy of the Fibonacci sets in the integral norms. - Peter Potash, Kaheer Suleman:
Playing log(N)-Questions over Sentences. - Huayang Li, Guoping Huang, Lemao Liu:
Neural Machine Translation with Noisy Lexical Constraints. - Benjamin Aram Berendsohn, László Kozma, Dániel Marx:
Finding and counting permutations via CSPs. - Andreas Vogelsang, Markus Borg:
Requirements Engineering for Machine Learning: Perspectives from Data Scientists. - Bohan Zhuang, Jing Liu, Mingkui Tan, Lingqiao Liu, Ian D. Reid, Chunhua Shen:
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. - Marin Toromanoff, Émilie Wirbel, Fabien Moutarde:
Is Deep Reinforcement Learning Really Superhuman on Atari? - Nicola Prezza, Giovanna Rosone:
Space-Efficient Construction of Compressed Suffix Trees. - Zhaohui Yang, Cunhua Pan, Jiancao Hou, Mohammad Shikh-Bahaei:
Efficient Resource Allocation for Mobile-Edge Computing Networks with NOMA: Completion Time and Energy Minimization. - David Puljiz, Erik Stöhr, Katharina S. Riesterer, Björn Hein, Torsten Kröger:
General Hand Guidance Framework using Microsoft HoloLens. - Shih-Chieh Su:
Channel Decomposition on Generative Networks. - Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow:
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. - Mathias Blumreiter, Joel Greenyer, Francisco Javier Chiyah Garcia, Verena Klös, Maike Schwammberger, Christoph Sommer, Andreas Vogelsang, Andreas Wortmann:
Towards Self-Explainable Cyber-Physical Systems. - Emile van Krieken, Erman Acar, Frank van Harmelen:
Semi-Supervised Learning using Differentiable Reasoning. - Yu Emma Wang, Carole-Jean Wu, Xiaodong Wang, Kim M. Hazelwood, David Brooks:
Exploiting Parallelism Opportunities with Deep Learning Frameworks. - William de Vazelhes, CJ Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet:
metric-learn: Metric Learning Algorithms in Python. - Utku Sirin, Anastasia Ailamaki:
Micro-architectural Analysis of OLAP: Limitations and Opportunities. - Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Learning elementary structures for 3D shape generation and matching. - Sanjay Subramanian, Dan Roth:
Improving Generalization in Coreference Resolution via Adversarial Training. - Zewen Chi, Heyan Huang, Heng-Da Xu, Houjin Yu, Wanxuan Yin, Xianling Mao:
Complicated Table Structure Recognition. - Tom Everitt, Marcus Hutter:
Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective. - Feliks Nüske, Patrick Gelß, Stefan Klus, Cecilia Clementi:
Tensor-based EDMD for the Koopman analysis of high-dimensional systems. - Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, Tinne Tuytelaars:
Online Continual Learning with Maximally Interfered Retrieval. - Pavel Denisov, Ngoc Thang Vu:
IMS-Speech: A Speech to Text Tool. - Kyle Kuan, Tosiron Adegbija:
Energy and Performance Analysis of STTRAM Caches for Mobile Applications. - Alexander Katsevich:
Resolution analysis of inverting the generalized Radon transform from discrete data in $\mathbb R^3$. - Yufang Hou:
Fine-grained Information Status Classification Using Discourse Context-Aware Self-Attention. - Jason Teutsch, Christian Reitwießner:
A scalable verification solution for blockchains. - Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma, Shamim Nemati:
DeepAISE - An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis. - Andrey V. Shanin, A. I. Korolkov:
Sommerfeld type integrals for discrete diffraction problems. - Zhaohong Deng, Ruixiu Liu, Te Zhang, Peng Xu, Kup-Sze Choi, Bin Qin, Shitong Wang:
Multi-view Clustering with the Cooperation of Visible and Hidden Views. - Zhaohong Deng, Chen Cui, Peng Xu, Ling Liang, Haoran Chen, Te Zhang, Shitong Wang:
Multi-View Fuzzy Clustering with The Alternative Learning between Shared Hidden Space and Partition. - Fotis Savva, Christos Anagnostopoulos, Peter Triantafillou:
Adaptive Learning of Aggregate Analytics under Dynamic Workloads. - Xusen Yin, Jonathan May:
Learn How to Cook a New Recipe in a New House: Using Map Familiarization, Curriculum Learning, and Common Sense to Learn Families of Text-Based Adventure Games. - Mario Stipcevic, Mateja Batelic:
Improved circuits for a biologically-inspired random pulse computer. - Jason Y. Zhang, Panna Felsen, Angjoo Kanazawa, Jitendra Malik:
Predicting 3D Human Dynamics from Video. - Jordan J. Bird, Diego R. Faria, Luis J. Manso, Anikó Ekárt, Christopher D. Buckingham:
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction. - Eduardo M. Hargreaves, Daniel Sadoc Menasché, Giovanni Neglia:
How often should I access my online social networks? - Taesun Whang, Dongyub Lee, Chanhee Lee, Kisu Yang, Dongsuk Oh, Heuiseok Lim:
Domain Adaptive Training BERT for Response Selection. - Matthew Turner, Hana Khamfroush:
Meeting QoS of Users in a Edge to Cloud Platform via Optimally Placing Services and Scheduling Tasks. - Kevin K. Bowden, JiaQi Wu, Wen Cui, Juraj Juraska, Vrindavan Harrison, Brian Schwarzmann, Nicholas Santer, Steve Whittaker, Marilyn A. Walker:
Entertaining and Opinionated but Too Controlling: A Large-Scale User Study of an Open Domain Alexa Prize System. - Xochitl Watts, Freddy Lécué:
Local Score Dependent Model Explanation for Time Dependent Covariates. - Geetika Arora, Ranjeet Ranjan Jha, Akash Agrawal, Kamlesh Tiwari, Aditya Nigam:
SP-NET: One Shot Fingerprint Singular-Point Detector. - Abir De, Soumen Chakrabarti:
Privacy Preserving Link Prediction with Latent Geometric Network Models. - Jay Jacobs, Sasha Romanosky, Benjamin Edwards, Michael Roytman, Idris Adjerid:
Exploit Prediction Scoring System (EPSS). - Sakshyam Panda, Daniel W. Woods, Aron Laszka, Andrew Fielder, Emmanouil Panaousis:
Post-Incident Audits on Cyber Insurance Discounts. - Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Meta Reasoning over Knowledge Graphs. - Yanjie Dong, Md. Jahangir Hossain, Julian Cheng, Victor C. M. Leung:
Joint Precoding and Power Control in Small-Cell Networks With Proportional-Rate MISO-BC Backhaul. - Yanjie Dong, Md. Jahangir Hossain, Julian Cheng, Victor C. M. Leung:
Cross-Layer Scheduling and Beamforming in Smart Grid Powered Small-Cell Networks. - Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis:
HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion. - Jordhy Fernando, Masayu Leylia Khodra, Ali Akbar Septiandri:
Aspect and Opinion Terms Extraction Using Double Embeddings and Attention Mechanism for Indonesian Hotel Reviews. - Mohit Srinivasan, Samuel Coogan:
Control Of Mobile Robots Using Barrier Functions Under Temporal Logic Specifications. - Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Ben Blaiszik, Steven Tuecke, Ian T. Foster, Kyle Chard:
Serverless Supercomputing: High Performance Function as a Service for Science. - Steven Gardner, Oleg Golovidov, Joshua Griffin, Patrick Koch, Wayne Thompson, Brett Wujek, Yan Xu:
Constrained Multi-Objective Optimization for Automated Machine Learning. - Stefan Metzger:
An efficient and convergent finite element scheme for Cahn-Hilliard equations with dynamic boundary conditions. - Nicolas H. Christianson, Ann Sizemore Blevins, Danielle S. Bassett:
Architecture and evolution of semantic networks in mathematics texts. - Kimmo Kärkkäinen, Jungseock Joo:
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age. - Shiyang Yan, Jun Xu, Yuai Liu, Lin Xu:
HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning. - Ya Zhao, Rui Xu, Mingli Song:
A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading. - Qingzhong Wang, Antoni B. Chan:
Towards Diverse and Accurate Image Captions via Reinforcing Determinantal Point Process. - Shaowei Wang, Jiachun Du, Wei Yang, Xinrong Diao, Zichun Liu, Yiwen Nie, Liusheng Huang, Hongli Xu:
Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability. - Lê Thành Dung Nguyên:
On the Elementary Affine Lambda-Calculus with and Without Fixed Points. 15-29 - Paulin Jacobé de Naurois:
Pointers in Recursion: Exploring the Tropics. 31-45 - Bruce M. Kapron, Florian Steinberg:
Type-two Iteration with Bounded Query Revision. 61-73 - Mingyuan Bai, S. T. Boris Choy, Xin Song, Junbin Gao:
Tensor-Train Parameterization for Ultra Dimensionality Reduction. - Daniel Khashabi:
Reasoning-Driven Question-Answering for Natural Language Understanding. - Ue-Hwan Kim, Jin-Man Park, Taek-Jin Song, Jong-Hwan Kim:
3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents. - Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro:
Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. - Dominik Köppl, Tomohiro I, Isamu Furuya, Yoshimasa Takabatake, Kensuke Sakai, Keisuke Goto:
Re-Pair In-Place. - Gudi Siva Leela Krishna Chand, Benjamin Johnston, Mary-Anne Williams:
Fog Robotics: A Summary, Challenges and Future Scope. - Siwoo Song, Cheol Ryu, Simone Faro, Thierry Lecroq, Kunsoo Park:
Fast Cartesian Tree Matching. - Alphan Sahin, Xiaofei Wang, Hanqing Lou, Rui Yang:
Low-PAPR Multi-channel OOK Waveform for IEEE 802.11ba Wake-up Radio. - Yu Chen, Lingfei Wu, Mohammed J. Zaki:
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation. - Han He, Jinho D. Choi:
Establishing Strong Baselines for the New Decade: Sequence Tagging, Syntactic and Semantic Parsing with BERT. - Wojciech Jamroga, Peter B. Rønne, Peter Y. A. Ryan, Philip B. Stark:
Risk-Limiting Tallies. - Catalina Cangea, Eugene Belilovsky, Pietro Liò, Aaron C. Courville:
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering. - Qing Yu, Kiyoharu Aizawa:
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy. - Farhad Farokhi:
Taking a Lesson from Quantum Particles for Statistical Data Privacy. - Joseph Campbell, Simon Stepputtis, Heni Ben Amor:
Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks. - S. M. Zobaed, Sahan Ahmad, Raju Gottumukkala, Mohsen Amini Salehi:
ClustCrypt: Privacy-Preserving Clustering of Unstructured Big Data in the Cloud. - Jiahui Zhang, Dawei Sun, Zixin Luo, Anbang Yao, Lei Zhou, Tianwei Shen, Yurong Chen, Long Quan, Hongen Liao:
Learning Two-View Correspondences and Geometry Using Order-Aware Network. - Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas:
Faster Unsupervised Semantic Inpainting: A GAN Based Approach. - My Phan, Yasin Abbasi-Yadkori, Justin Domke:
Thompson Sampling and Approximate Inference. - Barna Saha, Sanjay Subramanian:
Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost. - Guoli Song, Shuhui Wang, Qingming Huang, Qi Tian:
Harmonized Multimodal Learning with Gaussian Process Latent Variable Models. - Suichan Li, Dapeng Chen, Bin Liu, Nenghai Yu, Rui Zhao:
Memory-Based Neighbourhood Embedding for Visual Recognition. - Kai Chen, Zhongrui Lin, Jian Wan, Chungen Xu:
Interpretable Encrypted Searchable Neural Networks. - Chris Culnane, Benjamin I. P. Rubinstein, Vanessa Teague:
Stop the Open Data Bus, We Want to Get Off. - Christoph Kamann, Carsten Rother:
Benchmarking the Robustness of Semantic Segmentation Models. - Jake H. Lee, Kiri L. Wagstaff:
Visualizing Image Content to Explain Novel Image Discovery. - Seung Jae Lee, Seung Hyun Kim, H. Jin Kim:
Robust Translational Force Control of Multi-Rotor UAV for Precise Acceleration Tracking. - Debayan Deb, Jianbang Zhang, Anil K. Jain:
AdvFaces: Adversarial Face Synthesis. - Hongyin Zhu, Wenpeng Hu, Yi Zeng:
FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition. - Philip Sperl, Konstantin Böttinger:
Side-Channel Aware Fuzzing. - Emilio Di Giacomo, Giuseppe Liotta, Fabrizio Montecchiani:
Sketched Representations and Orthogonal Planarity of Bounded Treewidth Graphs. - László Csirmaz:
Complexity of universal access structures. - Shizhou Zhang, Qi Zhang, Xing Wei, Peng Wang, Bingliang Jiao, Yanning Zhang:
Person Re-identification in Aerial Imagery. - Martin Halla:
Galerkin approximation of holomorphic eigenvalue problems: weak T-coercivity and T-compatibility. - Fangzhou Wu, Li Chen, Nan Zhao, Yunfei Chen, F. Richard Yu, Guo Wei:
Computing and Communicating Functions in Disorganized Wireless Networks. - Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan:
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks. - Vincent Christlein, Lukas Spranger, Mathias Seuret, Anguelos Nicolaou, Pavel Král, Andreas Maier:
Deep Generalized Max Pooling. - Chris Alberti, Jeffrey Ling, Michael Collins, David Reitter:
Fusion of Detected Objects in Text for Visual Question Answering. - Emma Fitzgerald, Michal Pióro, Artur Tomaszewski:
Network Lifetime Maximization in Wireless Mesh Networks for Machine-to-Machine Communication. - Michael Cashmore, Anna Collins, Benjamin Krarup, Senka Krivic, Daniele Magazzeni, David E. Smith:
Towards Explainable AI Planning as a Service. - Yi Ting Yeh, Tzu-Chuan Lin, Hsiao-Hua Cheng, Yu-Hsuan Deng, Shang-Yu Su, Yun-Nung Chen:
Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling. - José Moura, David Hutchison:
Cyber-Physical Systems Resilience: State of the Art, Research Issues and Future Trends. - Ke Sun, Zhouchen Lin, Zhanxing Zhu:
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models. - Iago A. Carvalho, Thiago F. Noronha, Christophe Duhamel:
Algorithms the min-max regret 0-1 Integer Linear Programming Problem with Interval Data. - Grigorios G. Anagnostopoulos, Alexandros Kalousis:
A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN. - Kuldeep Singh, Mohamad Yaser Jaradeh, Saeedeh Shekarpour, Akash Kulkarni, Arun Sethupat Radhakrishna, Ioanna Lytra, Maria-Esther Vidal, Jens Lehmann:
Towards Optimisation of Collaborative Question Answering over Knowledge Graphs. - Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan Peeken, Stephanie Combs, Bjoern H. Menze:
Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation. - Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin:
Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring. - Pranav Ashok, Jan Kretínský, Maximilian Weininger:
Approximating Values of Generalized-Reachability Stochastic Games. - Yu Gu, Xiang Zhang, Zhi Liu, Fuji Ren:
WiFi-based Real-time Breathing and Heart Rate Monitoring during Sleep. - Mostafa Abdou, Cezar Sas, Rahul Aralikatte, Isabelle Augenstein, Anders Søgaard:
X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension. - Yi Ting Yeh, Yun-Nung Chen:
FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension. - Romeo Ortega, Stanislav Aranovskiy, Anton A. Pyrkin, Alessandro Astolfi, Alexey A. Bobtsov:
New Results on Parameter Estimation via Dynamic Regressor Extension and Mixing: Continuous and Discrete-time Cases. - Pierrick Gaudry:
Breaking the encryption scheme of the Moscow internet voting system. - Mathijs Mul, Diane Bouchacourt, Elia Bruni:
Mastering emergent language: learning to guide in simulated navigation. - Yifu Chen, Zongsheng Wang, Bowen Wu, Mengyuan Li, Huan Zhang, Lin Ma, Feng Liu, Qihang Feng, Baoxun Wang:
MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences. - Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification. - Sabine Frittella, Krishna Manoorkar, Alessandra Palmigiano, Apostolos Tzimoulis, Nachoem M. Wijnberg:
Toward a Dempster-Shafer theory of concepts. - Malte Splietker, Sven Behnke:
Directional TSDF: Modeling Surface Orientation for Coherent Meshes. - Zhuosheng Zhang, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao:
SG-Net: Syntax-Guided Machine Reading Comprehension. - Bo Jiang, Leiling Wang, Jin Tang, Bin Luo:
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network. - Adam Gagol, Damian Lesniak, Damian Straszak, Michal Swietek:
Aleph: Efficient Atomic Broadcast in Asynchronous Networks with Byzantine Nodes. - Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein:
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding. - Antoine Wehenkel, Gilles Louppe:
Unconstrained Monotonic Neural Networks. - Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang:
A Tour of Convolutional Networks Guided by Linear Interpreters. - Clement S. J. Doire, Olumide Okubadejo:
Interleaved Multitask Learning for Audio Source Separation with Independent Databases. - Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang, Nenghai Yu, Ping Luo, Xiaogang Wang:
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once. - Lukas Dominique Josef Fiederer, Hisham Alwanni, Martin Völker, Oliver Schnell, Jürgen Beck, Tonio Ball:
A Research Framework for Virtual Reality Neurosurgery Based on Open-Source Tools. - Sepehr Saadatmand, Mohammad Saleh Sanjarinia, Pourya Shamsi, Mehdi Ferdowsi:
Dual Heuristic Dynamic Programing Control of Grid-Connected Synchronverters. - Siobhán Grayson, Derek Greene:
Temporal Analysis of Reddit Networks via Role Embeddings. - Seung Ju Cho, Tae Joon Jun, Byungsoo Oh, Daeyoung Kim:
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation. - Anders Aamand, Piotr Indyk, Ali Vakilian:
(Learned) Frequency Estimation Algorithms under Zipfian Distribution. - Sepehr Saadatmand, Mohammad Saleh Sanjarinia, Pourya Shamsi, Mehdi Ferdowsi, Donald C. Wunsch:
Neural Network Predictive Controller for Grid-Connected Virtual Synchronous Generator. - Irawan Nurhas, Stefan Geisler, Jan M. Pawlowski:
Why Should the Q-method be Integrated Into the Design Science Research? A Systematic Mapping Study. - Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, Michael Auli:
On The Evaluation of Machine Translation Systems Trained With Back-Translation. - Hao Yang, Hao Wu, Hao Chen:
Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes. - Miaomiao Ma, Dan Jiao:
Accuracy Controlled Structure-Preserving ${\cal H}^2$-Matrix-Matrix Product in Linear Complexity with Change of Cluster Bases. - Ofir Nachum, Michael Ahn, Hugo Ponte, Shixiang Gu, Vikash Kumar:
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real. - Sarang Sutavani, K. Sonam, S. R. Wagh, Navdeep M. Singh:
Disturbance Decoupling and Instantaneous Fault Detection in Boolean Control Networks. - Morteza Banagar, Harpreet S. Dhillon:
Performance Characterization of Canonical Mobility Models in Drone Cellular Networks. - Ikponmwosa Idehen, Wonhyeok Jang, Thomas J. Overbye:
PMU Data Feature Considerations for Realistic, Synthetic Data Generation. - Iryna Kulchytska-Ruchka, Sebastian Schöps:
Efficient Parallel-in-Time Solution of Time-Periodic Problems Using a Multi-Harmonic Coarse Grid Correction. - Isuru S. Godage:
Swimming locomotion of Soft Robotic Snakes. - Hannah Youngeun An, Aaron Steven White:
The lexical and grammatical sources of neg-raising inferences. - Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez:
Optimizing for Interpretability in Deep Neural Networks with Tree Regularization. - Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober:
Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach. - Tiange Luo, Aoxue Li, Tao Xiang, Weiran Huang, Liwei Wang:
Few-Shot Learning with Global Class Representations. - Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman:
AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations. - Yang Hu, Giovanni Montana:
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity. - Tal Schuster, Darsh J. Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, Regina Barzilay:
Towards Debiasing Fact Verification Models. - Sandra Kiefer, Daniel Neuen:
The Power of the Weisfeiler-Leman Algorithm to Decompose Graphs. - Rahul Mitra, Nitesh B. Gundavarapu, Sudharshan Chandra Babu, Prashasht Bindal, Abhishek Sharma, Arjun Jain:
3D Human Pose Estimation under limited supervision using Metric Learning. - Jason Z. S. Hu, Ondrej Lhoták:
Undecidability of $D_{<: }$ and Its Decidable Fragments. - Jiayi Wang, Jiue-An Yang, Supun Nakandala, Arun Kumar, Marta M. Jankowska:
Predicting Eating Events in Free Living Individuals - A Technical Report. - Ruffin White, Gianluca Caiazza, Chenxu Jiang, Xinyue Ou, Zhiyue Yang, Agostino Cortesi, Henrik I. Christensen:
Network Reconnaissance and Vulnerability Excavation of Secure DDS Systems. - Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation. - Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens:
Dual Adversarial Inference for Text-to-Image Synthesis. - Özge Nilay Yalçin:
Evaluating Empathy in Artificial Agents. - Liyuan Liu, Zihan Wang, Jingbo Shang, Dandong Yin, Heng Ji, Xiang Ren, Shaowen Wang, Jiawei Han:
Raw-to-End Name Entity Recognition in Social Media. - Henry Förster, Robert Ganian, Fabian Klute, Martin Nöllenburg:
On Strict (Outer-)Confluent Graphs. - Jeffrey R. Peters, Amit Surana, Grant S. Taylor, Terry S. Turpin, Francesco Bullo:
UAV Surveillance Under Visibility and Dwell-Time Constraints: A Sampling-Based Approach. - Malte Schilling, Helge J. Ritter, Frank W. Ohl:
From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning - Insights from Biological Systems on Adaptive Flexibility. - Wei Liu, Jie-Lin Qiu, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis. - David Knothe, Frederick Pietschmann:
Large-Scale-Exploit of GitHub Repository Metadata and Preventive Measures. - Janosch Döcker, Britta Dorn, Simone Linz, Charles Semple:
Placing quantified variants of 3-SAT and Not-All-Equal 3-SAT in the polynomial hierarchy. - Diptendu Mohan Kar, Indrajit Ray:
Systematization of Knowledge and Implementation: Short Identity-Based Signatures. - Weizhang Huang, Lennard Kamenski, Jens Lang:
Stability of explicit Runge-Kutta methods for high order finite element approximation of linear parabolic equations. - Oindrila Chatterjee, Shantanu Chakrabartty:
Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems. - Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang:
Multi-Task Self-Supervised Learning for Disfluency Detection. - Henrique Ferrolho, Wolfgang Merkt, Carlo Tiseo, Sethu Vijayakumar:
Comparing Metrics for Robustness Against External Perturbations in Dynamic Trajectory Optimization. - Lucas R. C. de Farias, Pedro H. M. Braga, Hansenclever de F. Bassani, Aluízio F. R. Araújo:
MOEA/D with Uniformly Randomly Adaptive Weights. - Yasaman Keshtkarjahromi, Rawad Bitar, Venkat R. Dasari, Salim El Rouayheb, Hulya Seferoglu:
Secure Coded Cooperative Computation at the Heterogeneous Edge against Byzantine Attacks. - Mandana Saebi, Giovanni Luca Ciampaglia, Lance M. Kaplan, Nitesh V. Chawla:
HONEM: Network Embedding Using Higher-Order Patterns in Sequential Data. - Mohammad Saleh Sanjarinia, Sepehr Saadatmand, Pourya Shamsi, Mehdi Ferdowsi:
Analysis of Various Transformer Structures for High Frequency Isolation Applications. - Junkun Jiang, Ruomei Wang, Shujin Lin, Fei Wang:
SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks. - Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang:
Towards Knowledge-Based Recommender Dialog System. - Satnam Kaur, Paramvir Singh:
How does Object-Oriented Code Refactoring Influence Software Quality? Research Landscape and Challenges. - Meng Wu, Jingbo Wang, Jyotirmoy Deshmukh, Chao Wang:
Shield Synthesis for Real: Enforcing Safety in Cyber-Physical Systems. - Yuqing Song, Shizhe Chen, Yida Zhao, Qin Jin:
Unpaired Cross-lingual Image Caption Generation with Self-Supervised Rewards. - Zhuoxuan Jiang, Xian-Ling Mao, Ziming Huang, Jie Ma, Shaochun Li:
Towards End-to-End Learning for Efficient Dialogue Agent by Modeling Looking-ahead Ability. - Hancheng Cao, Zhilong Chen, Fengli Xu, Tao Wang, Yujian Xu, Lianglun Zhang, Yong Li:
When Your Friends Become Sellers: An Empirical Study of Social Commerce Site Beidian. - David R. Palmer, David Bommes, Justin Solomon:
Algebraic Representations for Volumetric Frame Fields. - Matthew Gray:
"LOADS of Space": Local Order Agnosticism and Bit Flip Efficient Data Structure Codes. - Pengyuan Liu, Yuning Deng, Chenghao Zhu, Han Hu:
XCMRC: Evaluating Cross-lingual Machine Reading Comprehension. - Youfa Li, Wenchang Sun:
Generalized Haar condition-based phaseless random sampling for compactly supported functions in shift-invariant spaces. - Na Zhao, Tat-Seng Chua, Gim Hee Lee:
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation. - Yuze Gao, Yu Yuan:
Feature-Less End-to-End Nested Term Extraction. - Huiting Hong, Xin Li, Yuangang Pan, Ivor W. Tsang:
Domain-adversarial Network Alignment. - Xiaohui Bei, Ayumi Igarashi, Xinhang Lu, Warut Suksompong:
Connected Fair Allocation of Indivisible Goods. - Longshaokan Wang, Eric B. Laber, Yeng Saanchi, Sherrie Caltagirone:
Sex Trafficking Detection with Ordinal Regression Neural Networks. - Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack:
Temporal Collaborative Ranking Via Personalized Transformer. - Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li:
Learning Trajectory Dependencies for Human Motion Prediction. - Jim Blythe, John Bollenbacher, Di Huang, Pik-Mai Hui, Rachel Krohn, Diogo Pacheco, Goran Muric, Anna Sapienza, Alexey Tregubov, Yong-Yeol Ahn, Alessandro Flammini, Kristina Lerman, Filippo Menczer, Tim Weninger, Emilio Ferrara:
Massive Multi-Agent Data-Driven Simulations of the GitHub Ecosystem. - Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark:
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams. - David Eppstein, Michael T. Goodrich, James A. Liu, Pedro Matias:
Tracking Paths in Planar Graphs. - Zhiao Huang, Fangchen Liu, Hao Su:
Mapping State Space using Landmarks for Universal Goal Reaching. - Reut Tsarfaty, Amit Seker, Shoval Sadde, Stav Klein:
What's Wrong with Hebrew NLP? And How to Make it Right. - Shaoqing Zhou, Wei Xu, Kezhi Wang, Cunhua Pan, Mohamed-Slim Alouini, Arumugam Nallanathan:
Ergodic Rate Analysis of Cooperative Ambient Backscatter Communication. - Sami Kairajärvi, Andrei Costin, Timo Hämäläinen:
Towards usable automated detection of CPU architecture and endianness for arbitrary binary files and object code sequences. - Ziheng Wang, Sree Harsha Nelaturu:
Accelerated CNN Training Through Gradient Approximation. - Viktor Voss, Liudmyla Nechepurenko, Rudi Schaefer, Steffen Bauer:
Playing a Strategy Game with Knowledge-Based Reinforcement Learning. - Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Shu-Tao Xia:
Adaptive Regularization of Labels. - (Withdrawn) Improved Mix-up with KL-Entropy for Learning From Noisy Labels.
- Alessandra Lumini, Loris Nanni, Gianluca Maguolo:
Deep learning for Plankton and Coral Classification. - Meghdad Farahmand:
A Multivariate Model for Representing Semantic Non-compositionality. - Assyr Abdulle, Giacomo Garegnani, Andrea Zanoni:
Ensemble Kalman filter for multiscale inverse problems. - Pengfei Wang, Chengquan Zhang, Fei Qi, Zuming Huang, Mengyi En, Junyu Han, Jingtuo Liu, Errui Ding, Guangming Shi:
A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning. - Nicholas Ruta, Naoko Sawada, Katy McKeough, Michael Behrisch, Johanna Beyer:
SAX Navigator: Time Series Exploration through Hierarchical Clustering. - Onel L. Alcaraz López, Hirley Alves, Matti Latva-aho:
Distributed Rate Control in Downlink NOMA Networks with Reliability Constraints. - Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li:
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning. - Giuseppe Greco, Fei Liang, Michael Moortgat, Alessandra Palmigiano:
Vector spaces as Kripke frames. - Rose Bohrer, André Platzer:
Toward Structured Proofs for Dynamic Logics. - Gabriele Ciaramella, Tommaso Vanzan:
Substructured Two-level and Multilevel Domain Decomposition Methods. - Amir Atapour Abarghouei, Toby P. Breckon:
To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation. - Felix Hamann, Nadja Kurz, Adrian Ulges:
Hamming Sentence Embeddings for Information Retrieval. - Grzegorz Dudek:
Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters. - Tobias Eichinger, Felix Beierle, Robin Papke, Lucas Rebscher, Hong Chinh Tran, Magdalena Trzeciak:
On Gossip-based Information Dissemination in Pervasive Recommender Systems. - Mohammad Thabet, Massimiliano Patacchiola, Angelo Cangelosi:
Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction. - Patrick Ebel, Anastasiia Mishchuk, Kwang Moo Yi, Pascal Fua, Eduard Trulls:
Beyond Cartesian Representations for Local Descriptors. - Yi Yu, Simon Canales:
Conditional LSTM-GAN for Melody Generation from Lyrics. - Joseph Campbell, Arne Hitzmann, Simon Stepputtis, Shuhei Ikemoto, Koh Hosoda, Heni Ben Amor:
Learning Interactive Behaviors for Musculoskeletal Robots Using Bayesian Interaction Primitives. - Bhavana V. S, Pradip K. Das:
Speaker Verification Using Simple Temporal Features and Pitch Synchronous Cepstral Coefficients. - Hannes Hagmar, Lang Tong, Robert Eriksson, Le Anh Tuan:
Voltage Instability Prediction Using a Deep Recurrent Neural Network. - Anh Truong, Austin Walters, Jeremy Goodsitt, Keegan E. Hines, C. Bayan Bruss, Reza Farivar:
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools. - David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp, Teresa Bernarda Ludermir:
Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss. - Pei Peng, Nikolas Melissaris, Emina Soljanin, Bill Lee, Huafeng Fan, Anton Maliev:
Straggling for Covert Message Passing on Complete Graphs. - Jesús Muñoz Morcillo, Klemens Czurda, Andrea Geipel, Caroline Y. Robertson-von Trotha:
Producers of Popular Science Web Videos. Between New Professionalism and Old Gender Issues. - Zhiyan Ding, Qin Li:
Mean-field limit and numerical analysis for Ensemble Kalman Inversion: linear setting. - Erik Burman, Stefan Frei, Matthew W. Scroggs:
Weak imposition of Signorini boundary conditions on the boundary element method. - Wing Tat Leung, Eric T. Chung, Yalchin Efendiev, Maria V. Vasilyeva, Mary F. Wheeler:
Space-Time Nonlinear Upscaling Framework Using Non-local Multi-continuum Approach. - Jiabin Zhang, Zheng Zhu, Wei Zou, Peng Li, Yanwei Li, Hu Su, Guan Huang:
FastPose: Towards Real-time Pose Estimation and Tracking via Scale-normalized Multi-task Networks. - Dianbo Liu, Dmitriy Dligach, Timothy A. Miller:
Two-stage Federated Phenotyping and Patient Representation Learning. - Trang Ngoc Cao, Arman Ahmadzadeh, Vahid Jamali, Wayan Wicke, Phee Lep Yeoh, Jamie S. Evans, Robert Schober:
Diffusive Mobile MC with Absorbing Receivers: Stochastic Analysis and Applications. - Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu:
Learning Credible Deep Neural Networks with Rationale Regularization. - Heikki Arponen, Tom E. Bishop:
SHREWD: Semantic Hierarchy-based Relational Embeddings for Weakly-supervised Deep Hashing. - Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. - Mostafa Khalaji, Nilufar Mohammadnejad:
FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach. - Mostafa Khalaji, Nilufar Mohammadnejad:
CUPCF: Combining Users Preferences in Collaborative Filtering for Better Recommendation. - Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu:
GraphSW: a training protocol based on stage-wise training for GNN-based Recommender Model. - Xue Yang, Qingqing Liu, Junchi Yan, Ang Li:
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. - Alex Bespalov, Leonardo Rocchi, David J. Silvester:
T-IFISS: a toolbox for adaptive FEM computation. - Yaru Hao, Li Dong, Furu Wei, Ke Xu:
Visualizing and Understanding the Effectiveness of BERT. - Johannes Eckert, David López, Carlos Lima Azevedo, Bilal Farooq:
A blockchain-based user-centric emission monitoring and trading system for multi-modal mobility. - Raghavendra Bhat, Ahmet Yasin Yazicioglu, Derya Aksaray:
Distributed Path Planning for Executing Cooperative Tasks with Time Windows. - Pavan Kantharaju, Katelyn Bright Alderfer, Jichen Zhu, Bruce W. Char, Brian K. Smith, Santiago Ontañón:
Tracing Player Knowledge in a Parallel Programming Educational Game. - Shengkai Wu, Xiaoping Li:
IoU-balanced Loss Functions for Single-stage Object Detection. - Yoav Levine, Barak Lenz, Or Dagan, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham:
SenseBERT: Driving Some Sense into BERT. - Sebastian Ullrich, Leonardo de Moura:
Counting Immutable Beans: Reference Counting Optimized for Purely Functional Programming. - Kia Rahmani, Kartik Nagar, Benjamin Delaware, Suresh Jagannathan:
CLOTHO: Directed Test Generation for Weakly Consistent Database Systems. - Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross B. Girshick:
PHYRE: A New Benchmark for Physical Reasoning. - J. Kartheek Devineni, Harpreet S. Dhillon:
Non-coherent Detection and Bit Error Rate for an Ambient Backscatter Link in Time-Selective Fading. - Abhishek Panigrahi, Abhishek Shetty, Navin Goyal:
Effect of Activation Functions on the Training of Overparametrized Neural Nets. - Konstantinos Konstantinidis, Aditya Ramamoorthy:
Resolvable Designs for Speeding up Distributed Computing. - Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification. - Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Yong Yu, Weinan Zhang, Lei Li:
Towards Making the Most of BERT in Neural Machine Translation. - Dong Cao, Lisha Xu:
Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles. - WonKee Lee, Junsu Park, Byung-Hyun Go, Jong-Hyeok Lee:
Transformer-based Automatic Post-Editing with a Context-Aware Encoding Approach for Multi-Source Inputs. - Hamada A. Nayel, H. L. Shashirekha, Hiroyuki Shindo, Yuji Matsumoto:
Improving Multi-Word Entity Recognition for Biomedical Texts. - Guojun Zhang, Yaoliang Yu:
Convergence Behaviour of Some Gradient-Based Methods on Bilinear Games. - Leonid Barenboim, Gal Oren:
Distributed Backup Placement in One Round and its Applications to Maximum Matching Approximation and Self-Stabilization. - Therese Biedl, Erin Wolf Chambers, David Eppstein, Arnaud de Mesmay, Tim Ophelders:
Homotopy height, grid-major height and graph-drawing height. - Li Xie, Xiaolan Tu, Siyao Zhou, Jun Chen:
Generalized Gaussian Multiterminal Source Coding in the High-Resolution Regime. - Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox:
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency. - Tao Wang, Xinmin Wu, Taiping He:
Trustable and Automated Machine Learning Running with Blockchain and Its Applications. - Sepehr Seyedi, Yasin Yazicioglu, Derya Aksaray:
Persistent Surveillance With Energy-Constrained UAVs and Mobile Charging Stations. - Kyra Yee, Nathan Ng, Yann N. Dauphin, Michael Auli:
Simple and Effective Noisy Channel Modeling for Neural Machine Translation. - Francesco Olivieri, Guido Governatori, Claudio Tomazzoli, Matteo Cristani:
Applications of Linear Defeasible Logic: combining resource consumption and exceptions to energy management and business processes. 1-14 - Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi:
Abductive Commonsense Reasoning. - Sepehr Saadatmand, Mohammad Saleh Sanjarinia, Pourya Shamsi, Mehdi Ferdowsi, Donald C. Wunsch:
Heuristic Dynamic Programming for Adaptive Virtual Synchronous Generators. - Neeraj Battan, Abbhinav Venkat, Avinash Sharma:
DeepHuMS: Deep Human Motion Signature for 3D Skeletal Sequences. - Johannes Günther, Nadia M. Ady, Alex Kearney, Michael Rory Dawson, Patrick M. Pilarski:
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures. - Apik Ashod Zorian, Chandra Shekar Bikkanur:
Debiasing Personal Identities in Toxicity Classification. - Daniel Specht Menezes, Pedro Savarese, Ruy Luiz Milidiú:
Building a Massive Corpus for Named Entity Recognition using Free Open Data Sources. - Rahim Taheri, Meysam Ghahramani, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Mauro Conti:
Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features. - Shreyas Sharma, Ron Daniel Jr.:
BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling Tasks. - Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Rasha Obeidat, Prasad Tadepalli:
Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation. - Chinnadhurai Sankar, Sujith Ravi, Zornitsa Kozareva:
On the Robustness of Projection Neural Networks For Efficient Text Representation: An Empirical Study. - Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers:
Discretely-constrained deep network for weakly supervised segmentation. - K. B. Nakshatrala:
On boundedness and growth of unsteady solutions under the double porosity/permeability model. - Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani:
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review. - Kyle Min, Jason J. Corso:
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection. - Wasifur Rahman, Md. Kamrul Hasan, Amir Zadeh, Louis-Philippe Morency, Mohammed Ehsan Hoque:
M-BERT: Injecting Multimodal Information in the BERT Structure. - Davide Bianchi:
Analysis of the spectral symbol function for spectral approximation of a differential operator. - Elliott Slaughter, Wei Wu, Yuankun Fu, Legend Brandenburg, Nicolai Garcia, Wilhem Kautz, Emily Marx, Kaleb S. Morris, Wonchan Lee, Qinglei Cao, George Bosilca, Seema Mirchandaney, Sean Treichler, Patrick S. McCormick, Alex Aiken:
Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance. - Wissam M. Sid-Lakhdar, Mohsen Mahmoudi Aznaveh, Xiaoye S. Li, James Weldon Demmel:
Multitask and Transfer Learning for Autotuning Exascale Applications. - Mihai Marian Puscas, Dan Xu, Andrea Pilzer, Nicu Sebe:
Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation. - Elie Ngomseu Mambou, Thibaud Tonnellier, Seyyed Ali Hashemi, Warren J. Gross:
Efficient Flicker-Free FEC Codes using Knuth's Balancing Algorithm for VLC. - Arshavir Ter-Gabrielyan, Alexander J. Summers, Peter Müller:
Modular Verification of Heap Reachability Properties in Separation Logic. - Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner:
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. - Jinkun Cao, Hongyang Tang, Haoshu Fang, Xiaoyong Shen, Cewu Lu, Yu-Wing Tai:
Cross-Domain Adaptation for Animal Pose Estimation. - Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Linear Stochastic Bandits Under Safety Constraints. - Libao Shi, Yang Pan, Yixin Ni:
An Analytical Probabilistic Expression for Modeling Sum of Spatial-dependent Wind Power Output. - Binghui Chen, Weihong Deng, Jiani Hu:
Mixed High-Order Attention Network for Person Re-Identification. - Jabez Leong Kit, Audelia Gumarus Dharmawan, David Mateo, Shaohui Foong, Gim Song Soh, Roland Bouffanais, Kristin L. Wood:
Decentralized Multi-Floor Exploration by a Swarm of Miniature Robots Teaming with Wall-Climbing Units. - Meng Tang, Yimin Liu, Louis J. Durlofsky:
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems. - Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration. - Oyesh Mann Singh, Ankur Padia, Anupam Joshi:
Named Entity Recognition for Nepali Language. - Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen:
Transferable Contrastive Network for Generalized Zero-Shot Learning. - Hanz Martin Cheng, Jérôme Droniou:
An efficient implementation of mass conserving characteristic-based schemes in 2D and 3D. - Antonios Anastasopoulos, Graham Neubig:
Pushing the Limits of Low-Resource Morphological Inflection. - Jana Dunfield, Neel Krishnaswami:
Bidirectional Typing. - Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo:
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss. - Dariush Fooladivanda, Qie Hu, Young Hwan Chang, Peter W. Sauer:
Secure State Estimation and Control for Cyber Security of AC Microgrids. - Matthias Springer:
Memory-Efficient Object-Oriented Programming on GPUs. - Anindya Maiti, Nisha Vinayaga-Sureshkanth, Murtuza Jadliwala, Raveen Wijewickrama:
Impact of Urban Micromobility Technology on Pedestrian and Rider Safety: A Field Study Using Pedestrian Crowd-Sensing. - Xi Ye, Qiaochu Chen, Xinyu Wang, Isil Dillig, Greg Durrett:
Sketch-Driven Regular Expression Generation from Natural Language and Examples. - Siddhant Bansal, Seema Patel, Ishita Shah, Alpesh Patel, Jagruti Makwana, Rajesh Amratlal Thakker:
AGDC: Automatic Garbage Detection and Collection. - Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner:
Reasoning Over Paragraph Effects in Situations. - Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon:
Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach. - Masatoshi Hanai, Toyotaro Suzumura, Wen Jun Tan, Elvis S. Liu, Georgios Theodoropoulos, Wentong Cai:
Distributed Edge Partitioning for Trillion-edge Graphs. - Sudarshan Mukherjee, Jemin Lee:
Edge Computing-Enabled Cell-Free Massive MIMO Systems. - Jianhao Zhang, Yingwei Pan, Ting Yao, He Zhao, Tao Mei:
daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devices. - Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu:
Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots. - Peng Chen, Tong Jia, Pengfei Wu, Jianjun Wu, Dongyue Chen:
Learning Deep Representations by Mutual Information for Person Re-identification. - Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas:
The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors. - Tianhao Qiao, Shunqing Zhang, Zhichao Zhang, Shan Cao, Shugong Xu:
Sub-Spectrogram Segmentation for Environmental Sound Classification via Convolutional Recurrent Neural Network and Score Level Fusion. - Grzegorz Dudek:
Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It. - Minquan Cheng, Jiyu Wang, Xi Zhong:
A Unified Framework for Constructing Centralized Coded Caching Schemes. - Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo:
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks. - Lei Sun, Kaiwei Wang, Kailun Yang, Kaite Xiang:
See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion. - Ralf Zimmermann:
Hermite Interpolation and data processing errors on Riemannian matrix manifolds. - Xun Xu, Shaogang Gong, Timothy M. Hospedales:
Zero-Shot Crowd Behavior Recognition. - Jue Wang, Anoop Cherian:
GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection. - Kai Niu, Yan Li, Weiling Wu:
Polar Codes: Analysis and Construction Based on Polar Spectrum. - Xin Yao, Tianchi Huang, Chenglei Wu, Rui-Xiao Zhang, Lifeng Sun:
Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs. - Jihong Park, Shiqiang Wang, Anis Elgabli, Seungeun Oh, Eunjeong Jeong, Han Cha, Hyesung Kim, Seong-Lyun Kim, Mehdi Bennis:
Distilling On-Device Intelligence at the Network Edge. - Sanchari Das, Andrew Kim, Zachary Tingle, Christena Nippert-Eng:
All About Phishing: Exploring User Research through a Systematic Literature Review. - Rui Lu, Feng Xue, Menghan Zhou, Anlong Ming, Yu Zhou:
Occlusion-shared and Feature-separated Network for Occlusion Relationship Reasoning. - Stefan Wagner, Daniel Méndez Fernández, Michael Felderer, Daniel Graziotin, Marcos Kalinowski:
Challenges in Survey Research. - Wenhai Wang, Enze Xie, Xiaoge Song, Yuhang Zang, Wenjia Wang, Tong Lu, Gang Yu, Chunhua Shen:
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network. - Sanchari Das, Bingxi Wang, Zachary Tingle, L. Jean Camp:
Evaluating User Perception of Multi-Factor Authentication: A Systematic Review. - Sanchari Das, Bingxi Wang, L. Jean Camp:
MFA is a Waste of Time! Understanding Negative Connotation Towards MFA Applications via User Generated Content. - Omar Sami Oubbati, Noureddine Chaib, Abderrahmane Lakas, Salim Bitam:
On-Demand Routing for Urban VANETs using Cooperating UAVs. - Sven Löffler, Ke Liu, Petra Hofstedt:
The Regularization of Small Sub-Constraint Satisfaction Problems. - Weipeng Huang, Xingyi Cheng, Taifeng Wang, Wei Chu:
BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction. - Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, Kwanghoon Sohn:
Context-Aware Emotion Recognition Networks. - Zihan Liu, Yan Xu, Genta Indra Winata, Pascale Fung:
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring. - Guannan Liu, Liang Zhang:
Do Co-purchases Reveal Preferences? Explainable Recommendation with Attribute Networks. - Simone Faro, Arianna Pavone, Francesco Pio Marino:
Efficient Online String Matching Based on Characters Distance Text Sampling. - Yuval Nirkin, Yosi Keller, Tal Hassner:
FSGAN: Subject Agnostic Face Swapping and Reenactment. - Patrick Stotko:
stdgpu: Efficient STL-like Data Structures on the GPU. - Tim Soethout, Jurgen J. Vinju, Tijs van der Storm:
Path-Sensitive Atomic Commit: Local Coordination Avoidance for Distributed Transactions (Technical Report). - Erich Novak:
Algorithms and Complexity for Functions on General Domains. - Talha Bin Masood, Tathagata Ray, Vijay Natarajan:
Parallel Computation of Alpha Complex for Biomolecules. - Ibou Sene:
Toward an Attribute-Based Digital Identity Modeling for Privacy Preservation. - Vitaly Petrov, Dmitri Moltchanov, Sergey Andreev, Robert W. Heath Jr.:
Analysis of Intelligent Vehicular Relaying in Urban 5G+ Millimeter-Wave Cellular Deployments. - Ruozi Huang, Mi Zhang, Xudong Pan, Beina Sheng:
How Sequence-to-Sequence Models Perceive Language Styles? - Zhijiang Guo, Yan Zhang, Zhiyang Teng, Wei Lu:
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning. - Helmut Seidl, Christian Müller, Bernd Finkbeiner:
How to Win First-Order Safety Games. - Erdun Gao, Zhibin Pan, Xinyi Gao:
Adaptive Embedding Pattern for Grayscale-Invariance Reversible Data Hiding. - Per Alexandersson, Petter Restadh:
LaserTank is NP-complete. - Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki, Ian Craddock:
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. - Minlong Peng, Ruotian Ma, Qi Zhang, Xuanjing Huang:
Simplify the Usage of Lexicon in Chinese NER. - Henrietta Baker, Matthew R. Hallowell, Antoine J.-P. Tixier:
AI Predicts Independent Construction Safety Outcomes from Universal Attributes. - Vincenzo Perri, Ingo Scholtes:
Higher-Order Visualization of Causal Structures in Dynamics Graphs. - Paulo J. G. Lisboa, Sandra Ortega-Martorell, Sadie Cashman, Iván Olier:
The Partial Response Network. - Chuangjie Xu:
A Gentzen-style monadic translation of Gödel's System T. - Tomasz Piotrowski, Krzysztof Rykaczewski:
Iterative Neural Networks with Bounded Weights. - Wilhelm Hasselbring, Leslie Carr, Simon Hettrick, Heather S. Packer, Thanassis Tiropanis:
FAIR and Open Computer Science Research Software. - Carlos Cotrini, Luca Corinzia, Thilo Weghorn, David A. Basin:
The Next 700 Policy Miners: A Universal Method for Building Policy Miners. - Yang Zhong, Atsuto Maki:
Pseudo-task Regularization for ConvNet Transfer Learning. - Yuji Nakatsukasa, Lloyd N. Trefethen:
An algorithm for real and complex rational minimax approximation. - Ke Liu, Sven Löffler, Petra Hofstedt:
Exploring Properties of Icosoku by Constraint Satisfaction Approach. - Jean-Baptiste Remy, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis:
Bidirectional Context-Aware Hierarchical Attention Network for Document Understanding. - Navonil Majumder, Soujanya Poria, Gangeshwar Krishnamurthy, Niyati Chhaya, Rada Mihalcea, Alexander F. Gelbukh:
Variational Fusion for Multimodal Sentiment Analysis. - Melina Merkel, Peter Gangl, Sebastian Schöps:
Shape Optimization of Rotating Electric Machines using Isogeometric Analysis and Harmonic Stator-Rotor Coupling. - Zhang-Wei Hong, Joni Pajarinen, Jan Peters:
Model-based Lookahead Reinforcement Learning. - Ari Z. Klein, Abeselom Gebreyesus, Graciela Gonzalez-Hernandez:
Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outcomes. - Davide Palitta, Valeria Simoncini:
Optimality properties of Galerkin and Petrov-Galerkin methods for linear matrix equations. - Yingzhong Shi, Zhaohong Deng, Haoran Chen, Kup-Sze Choi, Shitong Wang:
Double-Coupling Learning for Multi-Task Data Stream Classification. - Xiangxiang Chu, Bo Zhang, Jixiang Li, Qingyuan Li, Ruijun Xu:
ScarletNAS: Bridging the Gap Between Scalability and Fairness in Neural Architecture Search. - Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods. - Kevin Luo, Shuping Dang, Basem Shihada, Mohamed-Slim Alouini:
PHY Research Is Sick but Curable: An Empirical Analysis. - Nick Pawlowski, Suvrat Bhooshan, Nicolas Ballas, Francesco Ciompi, Ben Glocker, Michal Drozdzal:
Needles in Haystacks: On Classifying Tiny Objects in Large Images. - Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay:
Few-shot Text Classification with Distributional Signatures. - Felipe Moreno Vera:
Performing Deep Recurrent Double Q-Learning for Atari Games. - David B. Williams-Young, Paul G. Beckman, Chao Yang:
A Shift Selection Strategy for Parallel Shift-Invert Spectrum Slicing in Symmetric Self-Consistent Eigenvalue Computation. - Hyocheol Ro, Yoonjung Park, Tack-Don Han:
A Projection-based Augmented Reality for Elderly People with Dementia. - Ahmadreza Baghaie:
Robust Principal Component Analysis for Background Estimation of Particle Image Velocimetry Data. - Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan:
AutoER: Automated Entity Resolution using Generative Modelling. - Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Xiaofei Du, Yu-Chiang Frank Wang:
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification. - Alice Cortinovis, Daniel Kressner:
Low-rank approximation in the Frobenius norm by column and row subset selection. - Daniel Liu, Ronald Yu, Hao Su:
Adversarial point perturbations on 3D objects. - Mohammed Rayyan Sheriff, Debasish Chatterjee:
Convex geometry of the Coding problem for error constrained Dictionary Learning. - Gen Li, Nan Duan, Yuejian Fang, Daxin Jiang, Ming Zhou:
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training. - Angel A. Cantu, Austin Luchsinger, Robert T. Schweller, Tim Wylie:
Covert Computation in Self-Assembled Circuits. - Ehsan ul Haq, Tristan Braud, Young D. Kwon, Pan Hui:
A Survey on Computational Politics. - Marcos M. Vasconcelos, Mukul Gagrani, Ashutosh Nayyar, Urbashi Mitra:
Optimal scheduling strategy for networked estimation with energy harvesting. - Ali Ramezani-Kebrya, Fartash Faghri, Daniel M. Roy:
NUQSGD: Improved Communication Efficiency for Data-parallel SGD via Nonuniform Quantization. - Zhizhong Li, Linjie Luo, Sergey Tulyakov, Qieyun Dai, Derek Hoiem:
Anchor Tasks: Inexpensive, Shared, and Aligned Tasks for Domain Adaptation. - Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares:
Shallow Domain Adaptive Embeddings for Sentiment Analysis. - Emily Dinan, Samuel Humeau, Bharath Chintagunta, Jason Weston:
Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack. - Zeyad A. Al-Odat, Sudarshan K. Srinivasan, Eman M. Al-Qtiemat, Sana Shuja:
A Reliable IoT-Based Embedded Health Care System for Diabetic Patients. - Xun Xu, Loong-Fah Cheong, Zhuwen Li:
3D Rigid Motion Segmentation with Mixed and Unknown Number of Models. - Andrei Ivanov, Sergei Andrianov:
Matrix Lie Maps and Neural Networks for Solving Differential Equations. - Gianmarco Mengaldo:
Batch 1: Definition of several Weather & Climate Dwarfs. - Willem Deconinck:
Development of Atlas, a flexible data structure framework. - Alastair McKinstry:
Additional key features required for different directives based porting approaches. - Carlos Osuna:
Report on the performance portability demonstrated for the relevant Weather & Climate Dwarfs. - Cyril Mazauric, Erwan Raffin, David Guibert:
Recommendations and specifications for data scope analysis tools. - Cyril Mazauric, Erwan Raffin, Xavier Vigouroux, David Guibert, Alex Macfaden, Jacob Poulsen, Per Berg, Alan Gray, Peter Messmer:
Performance report and optimized implementation of Weather & Climate Dwarfs on GPU, MIC and Optalysys Optical Processor. - Louis Douriez, Alan Gray, David Guibert, Peter Messmer, Erwan Raffin:
Performance report and optimized implementations of Weather & Climate dwarfs on multi-node systems. - Michal Kulczewski, Marek Blazewicz, Sebastian Ciesielski:
Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures. - Johanna Wald, Armen Avetisyan, Nassir Navab, Federico Tombari, Matthias Nießner:
RIO: 3D Object Instance Re-Localization in Changing Indoor Environments. - Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey:
Symmetric Cross Entropy for Robust Learning with Noisy Labels. - Joris van Bever, Alex McFaden, Zbigniew Piotrowski, Daan Degrauwe:
Report on energy-efficiency evaluation of several NWP model configurations. - Joris van Bever, Geert Smet, Daan Degrauwe:
Report on workflow analysis for specific LAM applications. - Rishav Chakravarti, Cezar Pendus, Andrzej Sakrajda, Anthony Ferritto, Lin Pan, Michael R. Glass, Vittorio Castelli, J. William Murdock, Radu Florian, Salim Roukos, Avirup Sil:
CFO: A Framework for Building Production NLP Systems. - Anna Smagina, Egor I. Ershov, Anton S. Grigoryev:
Multiple Light Source Dataset for Colour Research. - Matthew S. Brennan, Guy Bresler:
Average-Case Lower Bounds for Learning Sparse Mixtures, Robust Estimation and Semirandom Adversaries. - Weizi Li:
Simulation and Learning for Urban Mobility: City-scale Traffic Reconstruction and Autonomous Driving. - Rodrigo Nogueira:
Learning Representations and Agents for Information Retrieval. - Taku Yamagata, Raúl Santos-Rodríguez, Ryan McConville, Atis Elsts:
Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback. - Johannes Bjerva, Katharina Kann, Isabelle Augenstein:
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models. - Santanu Pal, Marcos Zampieri, Josef van Genabith:
UDS-DFKI Submission to the WMT2019 Similar Language Translation Shared Task. - Mihaela Vela, Santanu Pal, Marcos Zampieri, Sudip Kumar Naskar, Josef van Genabith:
Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation. - Wentao Cheng, Weisi Lin, Kan Chen, Xinfeng Zhang:
Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization. - Govind Mittal, Pawel Korus, Nasir D. Memon:
FiFTy: Large-scale File Fragment Type Identification using Neural Networks. - Santanu Pal, Hongfei Xu, Nico Herbig, Sudip Kumar Naskar, Antonio Krüger, Josef van Genabith:
The Transference Architecture for Automatic Post-Editing. - Xingqin Lin:
Debunking Seven Myths about 5G New Radio. - Evgeny Lipovetsky, Nira Dyn:
Extending editing capabilities of subdivision schemes by refinement of point-normal pairs. - Meisam Hejazinia, Kyler Eastman, Shuqin Ye, Abbas Amirabadi, Ravi Divvela:
Accelerated learning from recommender systems using multi-armed bandit. - Weiquan Mao, Beicheng Lou, Jiyao Yuan:
TunaGAN: Interpretable GAN for Smart Editing. - Andrew B. Whitford, Jeff Yates, Adam Burchfield, L. Jason Anastasopoulos, Derrick M. Anderson:
The Adoption of Robotics by Government Agencies: Evidence from Crime Labs. - Timnit Gebru:
Oxford Handbook on AI Ethics Book Chapter on Race and Gender. - Os Keyes, Jevan A. Hutson, Meredith Durbin:
A Mulching Proposal. - Os Keyes, Josephine Hoy, Margaret Drouhard:
Human-Computer Insurrection: Notes on an Anarchist HCI. - Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Detecting abnormalities in resting-state dynamics: An unsupervised learning approach. - Dimitrios Rafailidis:
Cross-Domain Collaborative Filtering via Translation-based Learning. - Emilio Ferrara:
The History of Digital Spam. - Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton:
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. - Sarthak Dash, Alfio Gliozzo:
Distributional Negative Sampling for Knowledge Base Completion. - Anthony D. Rhodes:
Search Algorithms for Mastermind. - Trong-Nguyen Nguyen, Jean Meunier:
Applying Adversarial Auto-encoder for Estimating Human Walking Gait Abnormality Index. - Sharib Ali, Jens Rittscher:
Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping. - Helmut Ruhland:
Quadrature rules for C0 and C1 splines, a recipe. - Xiao Zhang, Dejing Dou, Ji Wu:
Learning Conceptual-Contexual Embeddings for Medical Text. - Soham Sinha, Richard West:
PAStime: Progress-aware Scheduling for Time-critical Computing. - Avinash Kori, Ganapathi Krishnamurthi:
Zero Shot Learning for Multi-Modal Real Time Image Registration. - Matthew Sotoudeh, Aditya V. Thakur:
Computing Linear Restrictions of Neural Networks. - Jingwen Wang, Hao Zhang, Cheng Zhang, Wenjing Yang, Liqun Shao, Jie Wang:
Generating an Overview Report over Many Documents. - Carlo Innamorati, Bryan C. Russell, Danny M. Kaufman, Niloy J. Mitra:
Neural Re-Simulation for Generating Bounces in Single Images. - Matthew Sotoudeh, Aditya V. Thakur:
A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks. - Faizal M. F. Hafiz, Akshya Swain, Eduardo M. A. M. Mendes:
Multi-Objective Evolutionary Framework for Non-linear System Identification: A Comprehensive Investigation. - Shinsaku Sakaue:
Approximation Guarantees of Stochastic Greedy Algorithms for Non-monotone Submodular Maximization with a Size Constraint. - Shen Gao, Peihao Dong, Zhiwen Pan, Geoffrey Ye Li:
Deep Learning based Channel Estimation for Massive MIMO with Mixed-Resolution ADCs. - Bingyao Huang, Haibin Ling:
CompenNet++: End-to-end Full Projector Compensation. - Shinnosuke Takamichi, Kentaro Mitsui, Yuki Saito, Tomoki Koriyama, Naoko Tanji, Hiroshi Saruwatari:
JVS corpus: free Japanese multi-speaker voice corpus. - Stefan Scherzinger, Arne Roennau, Rüdiger Dillmann:
Inverse Kinematics with Forward Dynamics Solvers for Sampled Motion Tracking. - Bong-Nam Kang, Yonghyun Kim, Bongjin Jun, Daijin Kim:
Attentional Feature-Pair Relation Networks for Accurate Face Recognition. - Yizhi Mao, Miao Chen, Abhinav Wagle, Junwei Pan, Michael Natkovich, Don Matheson:
A Batched Multi-Armed Bandit Approach to News Headline Testing. - Changhee Won, Jongbin Ryu, Jongwoo Lim:
OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching. - Tianyu He, Jiale Chen, Xu Tan, Tao Qin:
Language Graph Distillation for Low-Resource Machine Translation. - Tianyu He, Xu Tan, Tao Qin:
Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation. - Yang Liu, Jianpeng Zhang, Chao Gao, Jinghua Qu, Lixin Ji:
A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence Classification. - Yen-Hao Huang, Ssu-Rui Lee, Mau-Yun Ma, Yi-Hsin Chen, Ya-Wen Yu, Yi-Shin Chen:
EmotionX-IDEA: Emotion BERT - an Affectional Model for Conversation. - Harsh Thakkar, Dharmen Punjani, Sören Auer, Maria-Esther Vidal:
Towards an Integrated Graph Algebra for Graph Pattern Matching with Gremlin (Extended Version). - Manh Hong Duong, T. H. Dang-Ha, Q. B. Tang, H. M. Tran:
Generalized potential games. - Giannis Nikolentzos, Antoine J.-P. Tixier, Michalis Vazirgiannis:
Message Passing Attention Networks for Document Understanding. - Yiming Zhang, Herbert A. Mang:
Global cracking elements: a novel tool for Galerkin-based approaches simulating quasi-brittle fracture. - Sebastian Brandt, Yannic Maus, Jara Uitto:
A Sharp Threshold Phenomenon for the Distributed Complexity of the Lovász Local Lemma. - Dirk Beyer, Matthias Dangl:
Software Verification with PDR: Implementation and Empirical Evaluation of the State of the Art. - Stefan Scherzinger, Arne Roennau, Rüdiger Dillmann:
Contact Skill Imitation Learning for Robot-Independent Assembly Programming. - S. Akshay, Jatin Arora, Supratik Chakraborty, Shankara Narayanan Krishna, Divya Raghunathan, Shetal Shah:
Knowledge Compilation for Boolean Functional Synthesis. - Gidi Littwin, Lior Wolf:
Deep Meta Functionals for Shape Representation. - Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo:
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification. - Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft:
Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples. - Howard H. Yang, Zuozhu Liu, Tony Q. S. Quek, H. Vincent Poor:
Scheduling Policies for Federated Learning in Wireless Networks. - Sebastian Borgeaud, Guy Emerson:
Leveraging sentence similarity in natural language generation: Improving beam search using range voting. - Lingxue Song, Dihong Gong, Zhifeng Li, Changsong Liu, Wei Liu:
Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network. - Hao Li, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Gao Huang:
Improved Techniques for Training Adaptive Deep Networks. - Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung:
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics. - Man Luo, Qinghua Guo:
Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation. - Zhiyuan Zhang, Binh-Son Hua, David W. Rosen, Sai-Kit Yeung:
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning. - Michele Conforti, Samuel Fiorini, Tony Huynh, Gwenaël Joret, Stefan Weltge:
The stable set problem in graphs with bounded genus and bounded odd cycle packing number. - Xunhua Dai, Quan Quan, Kai-Yuan Cai:
Design Automation and Optimization Methodology for Electric Multicopter UAVs. - Badri N. Patro, Mayank Lunayach, Shivansh Patel, Vinay P. Namboodiri:
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps. - Feihong Liu, Jun Feng, Pew-Thian Yap, Dinggang Shen:
Multi-Kernel Filtering: An Extension of Bilateral Filtering Using Image Context. - Felix Neutatz, Mohammad Mahdavi, Ziawasch Abedjan:
ED2: Two-stage Active Learning for Error Detection - Technical Report. - Jiaxin Gu, Junhe Zhao, Xiaolong Jiang, Baochang Zhang, Jianzhuang Liu, Guodong Guo, Rongrong Ji:
Bayesian Optimized 1-Bit CNNs. - Laurent El Ghaoui, Fangda Gu, Bertrand Travacca, Armin Askari:
Implicit Deep Learning. - Fabian Brickwedde, Steffen Abraham, Rudolf Mester:
Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes. - Magnus Lie Hetland:
Comparison-Based Indexing From First Principles. - Giannis Nikolentzos, Michalis Vazirgiannis:
Revisiting the Graph Isomorphism Problem with Semidefinite Programming. - Rahul Vashisht, H. Viji, T. Sundararajan, D. Mohankumar, S. Sumitra:
Structural Health Monitoring of Cantilever Beam, a Case Study - Using Bayesian Neural Network AND Deep Learning. - Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer:
Language Features Matter: Effective Language Representations for Vision-Language Tasks. - Hong Xing, Jingjing Cui, Yansha Deng, Arumugam Nallanathan:
Energy-Efficient Proactive Caching for Fog Computing with Correlated Task Arrivals. - Alexander Kuhnle, Ann A. Copestake:
What is needed for simple spatial language capabilities in VQA? - Trong-Nguyen Nguyen, Huu-Hung Huynh, Jean Meunier:
Matching-based Depth Camera and Mirrors for 3D Reconstruction. - Trong-Nguyen Nguyen, Jean Meunier:
Hybrid Deep Network for Anomaly Detection. - Adel A. Bahaddad, Rayed AlGhamdi, Seyed M. Buhari, Madini O. Alassafi, Ahmad Alzahrani:
A Conceptual Framework for Successful E-commerce Smartphone Applications: The Context of GCC. - Trong-Nguyen Nguyen, Jean Meunier:
Anomaly Detection in Video Sequence with Appearance-Motion Correspondence. - Seyyed Danial Nazemi, Khashayar Mahani, Ali Ghofrani, Burcu Ece Kose, Mohsen A. Jafari:
Techno-economic analysis and optimization of a microgrid considering demand-side management. - Yuh-Shyang Wang, Tsui-Wei Weng, Luca Daniel:
Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation. - Zhengyuan Yang, Boqing Gong, Liwei Wang, Wenbing Huang, Dong Yu, Jiebo Luo:
A Fast and Accurate One-Stage Approach to Visual Grounding. - Kawin Ethayarajh, David Duvenaud, Graeme Hirst:
Understanding Undesirable Word Embedding Associations. - Benjamin Y. Cho, Yongkee Kwon, Sangkug Lym, Mattan Erez:
CHoNDA: Near Data Acceleration with Concurrent Host Access. - Mohamed A. Abd-Elmagid, Harpreet S. Dhillon, Nikolaos Pappas:
A Reinforcement Learning Framework for Optimizing Age-of-Information in RF-powered Communication Systems. - Huizi Mao, Xiaodong Yang, William J. Dally:
A Delay Metric for Video Object Detection: What Average Precision Fails to Tell. - Yi Yu, Lu Lu, Zongsheng Zheng, Wenyuan Wang, Yuriy V. Zakharov, Rodrigo C. de Lamare:
Robust DCD-Based Recursive Adaptive Algorithms. - (Withdrawn) A New Fast Computation of a Permanent.
- Shamane Siriwardhana, Rivindu Weerasekera, Denys J. C. Matthies, Suranga Nanayakkara:
VUSFA: Variational Universal Successor Features Approximator to Improve Transfer DRL for Target Driven Visual Navigation. - Chaoyang Wang, Chen Kong, Simon Lucey:
Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning. - Wenrui Zhang, Peng Li:
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks. - Junru Zhou, Shuailiang Zhang, Hai Zhao:
Concurrent Parsing of Constituency and Dependency. - Danylo Malyuta, Christian Brommer, Daniel Hentzen, Thomas Stastny, Roland Siegwart, Roland Brockers:
Long-Duration Fully Autonomous Operation of Rotorcraft Unmanned Aerial Systems for Remote-Sensing Data Acquisition. - Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao:
RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. - Tristan Aumentado-Armstrong, Stavros Tsogkas, Allan D. Jepson, Sven J. Dickinson:
Geometric Disentanglement for Generative Latent Shape Models. - Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl:
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization. - Yanyan Wang, Wanchun Liu, Xiangyun Zhou, Guanghui Liu:
On the Performance of Splitting Receiver with Joint Coherent and Non-Coherent Processing. - Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng:
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment. - Jieyi Long, Ribao Wei:
Nakamoto Consensus with Verifiable Delay Puzzle. - Sahil Shah, Naman Jain, Abhishek Sharma, Arjun Jain:
On the Robustness of Human Pose Estimation. - Anton Smerdov, Evgeny Burnaev, Andrey Somov:
eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair. - Alexander Korotin, Nikita Khromov, Anton Stepanov, Andrey Lange, Evgeny Burnaev, Andrey Somov:
Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis. - Anton Stepanov, Andrey Lange, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov:
Sensors and Game Synchronization for Data Analysis in eSports. - Zhaoming Yin, Anbang Ruan, Ming Wei, Huafeng Li, Kai Yuan, Junqing Wang, Yahui Wang, Ming Ni, Andrew P. Martin:
StreamNet: A DAG System with Streaming Graph Computing. - Anton Smerdov, Anastasia Kiskun, Rostislav Shaniiazov, Andrey Somov, Evgeny Burnaev:
Understanding Cyber Athletes Behaviour Through a Smart Chair: CS: GO and Monolith Team Scenario. - Riccardo Coppola, Luca Ardito, Marco Torchiano:
Characterizing the transition to Kotlin of Android apps: a study on F-Droid, Play Store and GitHub. - Fatemeh MohammadZadeh, Seyed Ali Mirghasemi, Ali Dorri, HamidReza Ahmadifar:
DMap: A Distributed Blockchain-based Framework for Online Mapping in Smart City. - Rohan Ghosh, Anupam K. Gupta:
Investigating Convolutional Neural Networks using Spatial Orderness. - Zhengda Huang, Hui-Di Wang:
On a progressive and iterative approximation method with memory for least square fitting. - Andrea Marcelli, Stefano Quer, Giovanni Squillero:
The Maximum Common Subgraph Problem: A Portfolio Approach. - Bao Xin Chen, Raghavender Sahdev, Dekun Wu, Xing Zhao, Manos Papagelis, John K. Tsotsos:
Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings. - James Thewlis, Samuel Albanie, Hakan Bilen, Andrea Vedaldi:
Unsupervised Learning of Landmarks by Descriptor Vector Exchange. - Hideo Bannai, Momoko Hirayama, Danny Hucke, Shunsuke Inenaga, Artur Jez, Markus Lohrey, Carl Philipp Reh:
The smallest grammar problem revisited. - Maxim S. Ilderyakov, Nikita V. Stepanov:
Using a small number of devices to experimentally estimate the packet delivery ratio on a lorawan network with a large number of end devices. - Gabriele Pergola, Lin Gui, Yulan He:
TDAM: a Topic-Dependent Attention Model for Sentiment Analysis. - Shengju Qian, Keqiang Sun, Wayne Wu, Chen Qian, Jiaya Jia:
Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation. - Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy:
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild. - Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke:
RefNet: A Reference-aware Network for Background Based Conversation. - Luming Liang, Sen Deng, Lionel Gueguen, Mingqiang Wei, Xinming Wu, Jing Qin:
Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations. - Yasuo Yamane, Hironobu Kitajima:
A New k-Shortest Path Search Approach based on Graph Reduction. - Oswin Aichholzer, Ruy Fabila Monroy, Adrian Fuchs, Carlos Hidalgo-Toscano, Irene Parada, Birgit Vogtenhuber, Francisco Zaragoza:
On the 2-colored crossing number. - Chengxu Cui, Guoquan Wu, Wei Chen, Jiaxing Zhu, Jun Wei:
Feedback-based, Automated Failure Testing of Microservice-based Applications. - Kai Zhen, Mi Suk Lee, Minje Kim:
Efficient Context Aggregation for End-to-End Speech Enhancement Using a Densely Connected Convolutional and Recurrent Network. - Andreas Kamilaris, Corjan van den Brink, Savvas Karatsiolis:
Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles. - Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Zhiguo Cao, Chunhua Shen:
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer. - Mahmoud Albardan, John Klein, Olivier Colot:
SPOCC: Scalable POssibilistic Classifier Combination - toward robust aggregation of classifiers. - Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang:
Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks. - Franz Siglmüller:
Type-Based Resource Analysis on Haskell. 47-60 - Rob Arthan, Paulo Oliva:
Studying Algebraic Structures using Prover9 and Mace4. - Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie:
Scalable Explanation of Inferences on Large Graphs. - Rodolfo Migon Favaretto, Victor Flavio de Andrade Araujo, Soraia Raupp Musse, Felipe Vilanova, Angelo Brandelli Costa:
A Software to Detect OCC Emotion, Big-Five Personality and Hofstede Cultural Dimensions of Pedestrians from Video Sequences. - Md. Adnan Arefeen, Sumaiya Tabassum Nimi, M. Sohel Rahman:
Neural Network Based Undersampling Techniques. - Chengxi Zang, Fei Wang:
Neural Dynamics on Complex Networks. - Tam The Nguyen, Phong Minh Vu, Tung Thanh Nguyen:
API Misuse Correction: A Statistical Approach. - Fernando Benites:
TwistBytes - Hierarchical Classification at GermEval 2019: walking the fine line (of recall and precision). - Harry F. Oviedo:
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem. - Mostafa Mahdieh, Seyed-Hassan Mirian-Hosseinabadi, Khashayar Etemadi, Ali Nosrati, Sajad Jalali:
Incorporating fault-proneness estimations into coverage-based test case prioritization methods. - Ivy Bo Peng, Maya B. Gokhale, Eric W. Green:
System Evaluation of the Intel Optane Byte-addressable NVM. - Oswin Aichholzer, Matias Korman, Yoshio Okamoto, Irene Parada, Daniel Perz, André van Renssen, Birgit Vogtenhuber:
Graphs with large total angular resolution. - Kirstin Peters, Christoph Wagner, Uwe Nestmann:
Taming Concurrency for Verification Using Multiparty Session Types (Technical Report). - Moumita Sinha, Vishwa Vinay, Harvineet Singh:
Modeling Time to Open of Emails with a Latent State for User Engagement Level. - Sahand Salamat, Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA Platforms. - Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie L. Shalin, Dilshod Achilov, Ismailcem Budak Arpinar, Amit P. Sheth:
Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. - Benjamin Doerr:
The Runtime of the Compact Genetic Algorithm on Jump Functions. - Ning Qiao, Giacomo Indiveri:
A clock-less ultra-low power bit-serial LVDS link for Address-Event multi-chip systems. - Zhenwei Liu, Ali Saberi, Anton A. Stoorvogel, Donya Nojavanzadeh:
State Synchronization for Homogeneous Networks of Non-introspective Agents in Presence of Input Saturation -A Scale-free Protocol Design. - Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features. - Jen-Hui Chuang, Chih-Hui Ho, Ardian Umam, HsinYi Chen, Mu-Tien Lu, Jenq-Neng Hwang, Tai-An Chen:
A New Technique of Camera Calibration: A Geometric Approach Based on Principal Lines. - Xingyu Zhao, Valentin Robu, David Flynn, Kizito Salako, Lorenzo Strigini:
Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing. - Rupei Xu, András Faragó:
The Landscape of Minimum Label Cut (Hedge Connectivity) Problem. - Palash Goyal, Di Huang, Ankita Goswami, Sujit Rokka Chhetri, Arquimedes Canedo, Emilio Ferrara:
Benchmarks for Graph Embedding Evaluation. - Abbhinav Venkat, Chaitanya Patel, Yudhik Agrawal, Avinash Sharma:
HumanMeshNet: Polygonal Mesh Recovery of Humans. - Ning Qiao, Giacomo Indiveri:
An auto-scaling wide dynamic range current to frequency converter for real-time monitoring of signals in neuromorphic systems. - Zhaojian Wang, Feng Liu, Yifan Su, Boyu Qin:
Asynchronous Distributed Voltage Control in Active Distribution Networks. - Wan J. Fokkink, Rob van Glabbeek, Bas Luttik:
Divide and Congruence III: From Decomposition of Modal Formulas to Preservation of Stability and Divergence. - Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes:
Weakly-supervised Action Localization with Background Modeling. - Zijian Ding, Shan Qiu, Yutong Guo, Jianping Lin, Li Sun, Dapeng Fu, Zhen Yang, Chengquan Li, Yang Yu, Long Meng, Tingting Lv, Dan Li, Ping Zhang:
LabelECG: A Web-based Tool for Distributed Electrocardiogram Annotation. - Prithviraj Ammanabrolu, Mark O. Riedl:
Transfer in Deep Reinforcement Learning using Knowledge Graphs. - Liang Ding, Dacheng Tao:
Recurrent Graph Syntax Encoder for Neural Machine Translation. - Xiang Chen, Yanzhou Mu, Chao Ni, Zhanqi Cui:
Revisiting Heterogeneous Defect Prediction: How Far Are We? - Zhendong Zhang, Cheolkon Jung, Xiaolong Liang:
Adversarial Defense by Suppressing High-frequency Components. - Tam The Nguyen, Phong Minh Vu, Tung Thanh Nguyen:
Recommendation of Exception Handling Code in Mobile App Development. - Wentu Song, Kui Cai, Long Shi:
Some new Constructions of Coded Caching Schemes with Reduced Subpacketization. - Grigorios Chrysos, Stylianos Moschoglou, Yannis Panagakis, Stefanos Zafeiriou:
PolyGAN: High-Order Polynomial Generators. - Xiangyang He, Yubo Tao, Qirui Wang, Hai Lin:
A Co-analysis Framework for Exploring Multivariate Scientific Data. - Sapumal Ahangama, Danny Chiang Choon Poo:
Latent User Linking for Collaborative Cross Domain Recommendation. - Hailong Guo, Xu Yang, Yi Zhu:
Unfitted Nitsche's method for computing wave modes in topological materials. - Mahdi Javanmardi, Ehsan Javanmardi, Shunsuke Kamijo:
How far should self-driving cars see? Effect of observation range on vehicle self-localization. - Boren Li, Boyu Zhuang, Mingyang Li, Jian Gu:
Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning. - Jie Hwan Lee, Hyeong-Seok Choi, Kyogu Lee:
Audio query-based music source separation. - Xianzhe Xu, Meixia Tao:
Modeling, Analysis, and Optimization of Caching in Multi-Antenna Small-Cell Networks. - Yongli Zhu, Chengxi Liu:
Mitigating Multi-Stage Cascading Failure by Reinforcement Learning. - Mike H. Ji:
Implicit Recursive Characteristics of STOP. - Yanshan Xiao, HuaiPei Wang, Bo Liu:
Transfer Learning-Based Label Proportions Method with Data of Uncertainty. - Matteo Giacomini, Rubén Sevilla:
Discontinuous Galerkin approximations in computational mechanics: hybridization, exact geometry and degree adaptivity. - Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, Xiaoyan Zhu:
Long and Diverse Text Generation with Planning-based Hierarchical Variational Model. - Jiahui Qiu, Yangming Zhou, Zhiyuan Ma, Tong Ruan, Jinlin Liu, Jing Sun:
Question Answering based Clinical Text Structuring Using Pre-trained Language Model. - Zhaoxiang Liu, Huan Hu, Zipeng Wang, Kai Wang, Jinqiang Bai, Shiguo Lian:
Video synthesis of human upper body with realistic face. - Kyle Young, Gareth Booth, Becks Simpson, Reuben Dutton, Sally Shrapnel:
Deep neural network or dermatologist? - Hajar Emami, Majid Moradi Aliabadi, Ming Dong, Ratna Babu Chinnam:
SPA-GAN: Spatial Attention GAN for Image-to-Image Translation. - Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng:
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation. - Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley, Graham Neubig:
Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces. - Carlos Gómez-Rodríguez, Morten H. Christiansen, Ramon Ferrer-i-Cancho:
Memory limitations are hidden in grammar. - Étienne André, Didier Lime, Mathias Ramparison:
On the expressive power of invariants in parametric timed automata. - Hossein Moradian, Solmaz S. Kia:
Cluster-based Distributed Augmented Lagrangian Algorithm for a Class of Constrained Convex Optimization Problems. - Bernadette Spieler, Maria Grandl, Martin Ebner, Wolfgang Slany:
"Computer Science for all": Concepts to engage teenagers and non-CS students in technology. - Håkan Ardö, Mikael G. Nilsson:
Multi Target Tracking by Learning from Generalized Graph Differences. - Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao:
RANet: Ranking Attention Network for Fast Video Object Segmentation. - Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Bourtsoulatze, Yiannis Andreopoulos:
Graph-Based Object Classification for Neuromorphic Vision Sensing. - Francesco Silvestri, Flavio Vella:
A Computational Model for Tensor Core Units. - Rina Polyanskaya, Mars Davletshin, Nikita Polyanskii:
Weight Distributions for Successive Cancellation Decoding of Polar Codes. - Sylvain Legay, Leandro Montero:
On the edge-biclique graph and the iterated edge-biclique operator. - Mahdieh Ahmadi, James Roberts, Emilio Leonardi, Ali Movaghar:
Cache Subsidies for an Optimal Memory for Bandwidth Tradeoff in the Access Network. - Johannes Czech, Moritz Willig, Alena Beyer, Kristian Kersting, Johannes Fürnkranz:
Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data. - Nils M. Kriege:
Deep Weisfeiler-Lehman Assignment Kernels via Multiple Kernel Learning. - Chris Reinke, Mayalen Etcheverry, Pierre-Yves Oudeyer:
Intrinsically Motivated Exploration for Automated Discovery of Patterns in Morphogenetic Systems. - Yandong Bai, Jørgen Bang-Jensen, Shinya Fujita, Anders Yeo:
Safe sets in digraphs. - Dongming Yang, Yuexian Zou, Jian Zhang, Ge Li:
C-RPNs: Promoting Object Detection in real world via a Cascade Structure of Region Proposal Networks. - Lihua Yang, Anna Qi, Chao Huang, Jianfeng Huang:
Graph Fourier Transform Based on 𝓁1 Norm Variation Minimization. - Congcong Wen, Lina Yang, Ling Peng, Xiang Li, Tianhe Chi:
Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification. - Marius Lindauer, Matthias Feurer, Katharina Eggensperger, André Biedenkapp, Frank Hutter:
Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters. - Francesco Osborne, Henry Muccini, Patricia Lago, Enrico Motta:
Reducing the Effort for Systematic Reviews in Software Engineering. - Kenneth Lau, Jonas Adler, Jens Sjölund:
A unified representation network for segmentation with missing modalities. - Eric Goubault, Samuel Mimram:
Directed Homotopy in Non-Positively Curved Spaces. - Luca Castelli Aleardi:
Balanced Schnyder woods for planar triangulations: an experimental study with applications to graph drawing and graph separators. - Yu Liu, Yutong Dai, Anh-Dzung Doan, Lingqiao Liu, Ian D. Reid:
In defense of OSVOS. - Adria Ruiz, Jakob Verbeek:
Adaptative Inference Cost With Convolutional Neural Mixture Models. - Jinglin Xu, Junwei Han, Feiping Nie, Xuelong Li:
Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity. - Jiacheng Chen, Chen Liu, Jiaye Wu, Yasutaka Furukawa:
Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path. - Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, Tommaso Di Noia:
Recommender Systems Fairness Evaluation via Generalized Cross Entropy. - Fan Xu, Meixia Tao:
Heterogeneous Coded Distributed Computing: Joint Design of File Allocation and Function Assignment. - Phanwadee Sinthong, Michael J. Carey:
AFrame: Extending DataFrames for Large-Scale Modern Data Analysis (Extended Version). - Alexei Lisitsa, Andrei P. Nemytykh:
Proceedings Seventh International Workshop on Verification and Program Transformation, VPT@Programming 2019, Genova, Italy, 2nd April 2019. EPTCS 299, 2019 [contents] - Shreyas Kolala Venkataramanaiah, Yufei Ma, Shihui Yin, Eriko Nurvitadhi, Aravind Dasu, Yu Cao, Jae-sun Seo:
Automatic Compiler Based FPGA Accelerator for CNN Training. - Zhi-Xiu Ye, Qian Chen, Wen Wang, Zhen-Hua Ling:
Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models. - Volker Willert, Martin Buczko:
Some Aspects of Geometric Computer Vision for Analysing Dynamical Scenes focusing Automotive Applications. - Leah Epstein:
On bin packing with clustering and bin packing with delays. - Jean B. Lasserre:
Simple formula for integration of polynomials on a simplex. - (Withdrawn) Semantic Source Code Search: A Study of the Past and a Glimpse at the Future.
- Zhiming Li, Qing Wu, Kun Qian:
Adabot: Fault-Tolerant Java Decompiler. - Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough:
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation. - Nicolas Ollinger, Guillaume Theyssier:
Freezing, Bounded-Change and Convergent Cellular Automata. - Aakanksha Rana, Cagri Ozcinar, Aljoscha Smolic:
Towards Generating Ambisonics Using Audio-Visual Cue for Virtual Reality. - Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos:
A New Deterministic Technique for Symbolic Regression. - Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Joshua Marben, Philipp Müller, Frank Hutter:
BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters. - (Withdrawn) Boosting the Bounds of Symbolic QED for Effective Pre-Silicon Verification of Processor Cores.
- Jiancheng Long, Hongming Zhang, Tianyang Yu, Bo Xu:
Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning. - Bonggun Shin, Sungsoo Park, Keunsoo Kang, Joyce C. Ho:
Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction. - De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles:
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. - Arseniy V. Akopyan, Herbert Edelsbrunner:
The Weighted Gaussian Curvature Derivative of a Space-Filling Diagram. - Arseniy V. Akopyan, Herbert Edelsbrunner:
The Weighted Mean Curvature Derivative of a Space-Filling Diagram. - Yosi Mass, Haggai Roitman, Shai Erera, Or Rivlin, Bar Weiner, David Konopnicki:
A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints. - Ilya Shnayderman, Liat Ein-Dor, Yosi Mass, Alon Halfon, Benjamin Sznajder, Artem Spector, Yoav Katz, Dafna Sheinwald, Ranit Aharonov, Noam Slonim:
Fast End-to-End Wikification. - Demian Hespe, Sebastian Lamm, Christian Schulz, Darren Strash:
WeGotYouCovered: The Winning Solver from the PACE 2019 Implementation Challenge, Vertex Cover Track. - Yasuo Yamane, Kenichi Kobayashi:
A New Fast Weighted All-pairs Shortest Path Search Algorithm Based on Pruning by Shortest Path Trees. - Yoshitaka Kameya:
Towards Efficient Discriminative Pattern Mining in Hybrid Domains. - Yasuo Yamane, Kenichi Kobayashi:
A New Fast Unweighted All-pairs Shortest Path Search Algorithm Based on Pruning by Shortest Path Trees. - Ahmad Golchin, Soham Sinha, Richard West:
Boomerang: Real-Time I/O Meets Legacy Systems. - Alexey Tikhonov, Viacheslav Shibaev, Aleksander Nagaev, Aigul Nugmanova, Ivan P. Yamshchikov:
Style Transfer for Texts: to Err is Human, but Error Margins Matter. - Prune Truong, Stefanos Apostolopoulos, Agata Mosinska, Samuel Stucky, Carlos Ciller, Sandro De Zanet:
GLAMpoints: Greedily Learned Accurate Match points. - Victor Morel, Raúl Pardo:
Three Dimensions of Privacy Policies. - Sterling Ramroach, Melford John, Ajay Joshi:
The efficacy of various machine learning models for multi-class classification of RNA-seq expression data. - Michal Moshkovitz:
Unexpected Effects of Online K-means Clustering. - Weikang Wang, Jiajun Zhang, Qian Li, Chengqing Zong, Zhifei Li:
Are You for Real? Detecting Identity Fraud via Dialogue Interactions. - Thomas Erlebach, Jakob T. Spooner:
A Game of Cops and Robbers on Graphs with Periodic Edge-Connectivity. - Nicholas Heller, Jack Rickman, Christopher Weight, Nikolaos Papanikolopoulos:
The Role of Publicly Available Data in MICCAI Papers from 2014 to 2018. - Divyanshu Gupta, Shorya Jain, Utkarsh Tripathi, Pratik Chattopadhyay, Lipo Wang:
Fully Automated Image De-fencing using Conditional Generative Adversarial Networks. - Daniel Etiemble:
Ternary circuits: why R=3 is not the Optimal Radix for Computation. - Cheng Li, Abdul Dakkak, Jinjun Xiong, Wei Wei, Lingjie Xu, Wen-Mei Hwu:
Across-Stack Profiling and Characterization of Machine Learning Models on GPUs. - Ruiqi Zhong, Steven Shao, Kathleen R. McKeown:
Fine-grained Sentiment Analysis with Faithful Attention. - Steve Tueno:
Towards Linearization Machine Learning Algorithms. - Yannik Klein, Michael Rapp, Eneldo Loza Mencía:
Efficient Discovery of Expressive Multi-label Rules using Relaxed Pruning. - Cathy Chua, Hanieh Habibi, Manny Rayner, Nikos Tsourakis:
Decentralising power: how we are trying to keep CALLector ethical. - David F. Anderson, Chaojie Yuan:
Variance of finite difference methods for reaction networks with non-Lipschitz rate functions. - Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz:
SDIT: Scalable and Diverse Cross-domain Image Translation. - Rong Pan:
Rebellion on Sugarscape: Case Studies for Greed and Grievance Theory of Civil Conflicts using Agent-Based Models. - Hyo-Sang Shin, Shaoming He, Antonios Tsourdos:
Computational Flight Control: A Domain-Knowledge-Aided Deep Reinforcement Learning Approach. - Anton Muravev, Jenni Raitoharju, Moncef Gabbouj:
Architecture Search by Estimation of Network Structure Distributions. - Stanislav Morozov, Artem Babenko:
Relevance Proximity Graphs for Fast Relevance Retrieval. - Ming-Deh A. Huang:
Weil descent and cryptographic trilinear maps. - Avisha Das, Rakesh M. Verma:
Automated email Generation for Targeted Attacks using Natural Language. - Nicolas Harrand, César Soto-Valero, Martin Monperrus, Benoit Baudry:
The Strengths and Behavioral Quirks of Java Bytecode Decompilers. - Federico Magliani, Laura Sani, Stefano Cagnoni, Andrea Prati:
Genetic Algorithms for the Optimization of Diffusion Parameters in Content-Based Image Retrieval. - Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper:
An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning. - Roi Naveiro, David Ríos Insua:
Gradient Methods for Solving Stackelberg Games. - Bharat Lal Bhatnagar, Garvita Tiwari, Christian Theobalt, Gerard Pons-Moll:
Multi-Garment Net: Learning to Dress 3D People from Images. - Ander Biguri, Hossein Towsyfyan, Richard P. Boardman, Thomas Blumensath:
Numerically robust tetrahedron-based tomographic forward and backward projectors on parallel architectures. - Markus Wagner, Hanhe Lin, Shujun Li, Dietmar Saupe:
Algorithm Selection for Image Quality Assessment. - Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez:
Message Passing for Complex Question Answering over Knowledge Graphs. - Sofia Belikovetsky, Oded Leiba, Asaf Shabtai, Yuval Elovici:
3D Marketplace: Distributed Attestation of 3D Designs on Blockchain. - Hwiyeon Kim, Juyoung Oh, Yunha Han, Sungahn Ko, Matthew Brehmer, Bum Chul Kwon:
Thumbnails for Data Stories: A Survey of Current Practices. - Jana Straková, Milan Straka, Jan Hajic:
Neural Architectures for Nested NER through Linearization. - Milan Straka, Jana Straková, Jan Hajic:
UDPipe at SIGMORPHON 2019: Contextualized Embeddings, Regularization with Morphological Categories, Corpora Merging. - Sameh Abdulah, Yuxiao Li, Jian Cao, Hatem Ltaief, David E. Keyes, Marc G. Genton, Ying Sun:
ExaGeoStatR: A Package for Large-Scale Geostatistics in R. - Zachary M. Ziegler, Luke Melas-Kyriazi, Sebastian Gehrmann, Alexander M. Rush:
Encoder-Agnostic Adaptation for Conditional Language Generation. - Makan Arastuie, Subhadeep Paul, Kevin S. Xu:
Consistent Community Detection in Continuous-Time Networks of Relational Events. - Alexandre Salle, Aline Villavicencio:
Why So Down? The Role of Negative (and Positive) Pointwise Mutual Information in Distributional Semantics. - Lun Huang, Wenmin Wang, Jie Chen, Xiaoyong Wei:
Attention on Attention for Image Captioning. - Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr:
Dynamic Graph Message Passing Networks. - Zhuqing Jia, Syed Ali Jafar:
On the Capacity of Secure Distributed Matrix Multiplication. - Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, Michael J. Black:
Resolving 3D Human Pose Ambiguities with 3D Scene Constraints. - Dhananjay S. Phatak, Alan T. Sherman, Steven D. Houston, Andrew Henry:
PPT: New Low Complexity Deterministic Primality Tests Leveraging Explicit and Implicit Non-Residues. A Set of Three Companion Manuscripts. - Wanqiao Yuan, Yingyuan Xiao, Xu Jiao, Wenguang Zheng, Zihao Ling:
Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems. - Xin Liu, Yingyuan Xiao, Xu Jiao, Wenguang Zheng, Zihao Ling:
A Novel Kalman Filter Based Shilling Attack Detection Algorithm. - Eita Nakamura, Kazuyoshi Yoshii:
Music Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions. - Ge Chu, Alexei Lisitsa:
Agent-based (BDI) modeling for automation of penetration testing. - Nazmiye Ceren Abay, Cuneyt Gurcan Akcora, Yulia R. Gel, Umar D. Islambekov, Murat Kantarcioglu, Yahui Tian, Bhavani Thuraisingham:
ChainNet: Learning on Blockchain Graphs with Topological Features. - Ahmad Al Badawi, Luong Hoang, Chan Fook Mun, Kim Laine, Khin Mi Mi Aung:
PrivFT: Private and Fast Text Classification with Homomorphic Encryption. - Yuxi Li:
Reinforcement Learning Applications. - Fehmi Cirak, Malcolm A. Sabin:
Filletting Quador Lattice Structures. - Arthur Aubret, Laëtitia Matignon, Salima Hassas:
A survey on intrinsic motivation in reinforcement learning. - Manuel Dahnert, Angela Dai, Leonidas J. Guibas, Matthias Nießner:
Joint Embedding of 3D Scan and CAD Objects. - Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian:
Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries. - Karol Antczak:
On Regularization Properties of Artificial Datasets for Deep Learning. - Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman:
Boundless: Generative Adversarial Networks for Image Extension. - Yi Sun, Iván Ramírez, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Learning Fair Classifiers in Online Stochastic Settings. - Peter D. Turney, Saif M. Mohammad:
The Natural Selection of Words: Finding the Features of Fitness. - Hrishikesh Patel, Nandan Rathod, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Pushpak Bhattacharyya:
Tale of tails using rule augmented sequence labeling for event extraction. - Melissa Ailem, Bowen Zhang, Fei Sha:
Topic Augmented Generator for Abstractive Summarization. - Peter D. Turney:
Modeling Major Transitions in Evolution with the Game of Life. - Willem Deconinck:
Public release of Atlas under an open source license, which is accelerator enabled and has improved interoperability features. - Andreas Müller, Mike Gillard, Kristian Pagh Nielsen, Zbigniew Piotrowski:
Batch 2: Definition of novel Weather & Climate Dwarfs. - Daniel Mutembesa, Ernest Mwebaze, Solomon Nsumba, Christopher Omongo, Humphrey Mutaasa:
Mobile community sensing with smallholder farmers in a developing nation; A scaled pilot for crop health monitoring. - Huynh Thi Thanh Binh, Pham Dinh Thanh, Ta Bao Thang:
New Approach for Solving The Clustered Shortest-Path Tree Problem Based on Reducing The Search Space of Evolutionary Algorithm. - Mohsen Farhadloo:
Twitter Sentiment on Affordable Care Act using Score Embedding. - Nesma M. Rezk, Madhura Purnaprajna, Tomas Nordström, Zain Ul-Abdin:
Recurrent Neural Networks: An Embedded Computing Perspective. - Xuanlin Liu, Mingzhe Chen, Changchuan Yin, Walid Saad:
Analysis of Memory Capacity for Deep Echo State Networks. - Praveen Kumar Bodigutla, Longshaokan Wang, Kate Ridgeway, Joshua Levy, Swanand Joshi, Alborz Geramifard, Spyros Matsoukas:
Domain-Independent turn-level Dialogue Quality Evaluation via User Satisfaction Estimation. - Sergey I. Nikolenko, Elena Tutubalina, Zulfat Miftahutdinov, Eugene Beloded:
CommentsRadar: Dive into Unique Data on All Comments on the Web. - Wenqi Xian, Zhengqi Li, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman, Noah Snavely:
UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images. - Will Pazner:
Efficient low-order refined preconditioners for high-order matrix-free continuous and discontinuous Galerkin methods. - John N. Hooker:
Improved Job sequencing Bounds from Decision Diagrams. - Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Graph Variational Auto-Encoders. - Ehsan Nezhadarya, Yang Liu, Bingbing Liu:
BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird's-Eye View Point Cloud. - Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths, Olga Russakovsky:
Human uncertainty makes classification more robust. - Hamed Nilforoshan, Neil Shah:
SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs. - Ethan K. Gordon, Xiang Meng, Matt Barnes, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa:
Learning from failures in robot-assisted feeding: Using online learning to develop manipulation strategies for bite acquisition. - Hua Sun, Chao Tian:
Breaking the MDS-PIR Capacity Barrier via Joint Storage Coding. - Antoine Amarilli, Benny Kimelfeld:
Model Counting for Conjunctive Queries Without Self-Joins. - Shuang Ma, Daniel McDuff, Yale Song:
Unpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck. - Alexander Choi, Marek Chrobak, Kevin P. Costello:
An Omega(n^2) Lower Bound for Random Universal Sets for Planar Graphs. - Alexander H. Chang, Shiyu Feng, Yipu Zhao, Justin S. Smith, Patricio A. Vela:
Autonomous, Monocular, Vision-Based Snake Robot Navigation and Traversal of Cluttered Environments using Rectilinear Gait Motion. - Manxi Wu, Saurabh Amin:
Information Design for Regulating Traffic Flows under Uncertain Network State. - Debanjan Borthakur, Victoria Grace, Paul Batchelor, Harishchandra Dubey:
Fuzzy C-Means Clustering and Sonification of HRV Features. - Jinho Choi:
Matched-Filter based Backscatter Communication for IoT Devices over Ambient OFDM Carrier. - Michael Muehlebach:
The Silver Ratio and its Relation to Controllability. - Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu:
Graph Neural Networks with High-order Feature Interactions. - Mohammad G. Khoshkholgh, Victor C. M. Leung:
Energy-Efficient Cooperative Caching in UAV Networks. - Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Peter Chin:
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. - Verica Lazova, Eldar Insafutdinov, Gerard Pons-Moll:
360-Degree Textures of People in Clothing from a Single Image. - Mohammad G. Khoshkholgh, Victor C. M. Leung, Kang G. Shin, Keivan Navaie:
Provisioning Energy-Efficiency and QoS for Multi-Carrier CoMP with Limited Feedback. - Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. - Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie:
Estimating Attention Flow in Online Video Networks. - Akinari Onishi:
Landmark Map: An Extension of the Self-Organizing Map for a User-Intended Nonlinear Projection. - Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh:
Universal Adversarial Triggers for NLP. - Arka Sadhu, Kan Chen, Ram Nevatia:
Zero-Shot Grounding of Objects from Natural Language Queries. - Hongyuan Yu, Chengquan Zhang, Xuan Li, Junyu Han, Errui Ding, Liang Wang:
An End-to-end Video Text Detector with Online Tracking. - Shuke Peng, Xinjing Huang, Zehao Lin, Feng Ji, Haiqing Chen, Yin Zhang:
Teacher-Student Framework Enhanced Multi-domain Dialogue Generation. - Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Hamed Shariat Yazdi:
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules. - Anhong Guo, Junhan Kong, Michael L. Rivera, Frank F. Xu, Jeffrey P. Bigham:
StateLens: A Reverse Engineering Solution for Making Existing Dynamic Touchscreens Accessible. - Liang Zhao, Zhiyuan Ma, Yangming Zhou, Kai Wang, Shengping Liu, Ju Gao:
CBOWRA: A Representation Learning Approach for Medication Anomaly Detection. - Joseph O'Rourke:
Unfolding Polyhedra. - Benoit Charbonneau, Spencer Whitehead:
Studying Wythoff and Zometool Constructions using Maple. - Peter Zeman:
Discrete and Fast Fourier Transform Made Clear. - Dongxu Ji, Qianying Zhang, Shijun Zhao, Zhiping Shi, Yong Guan:
MicroTEE: Designing TEE OS Based on the Microkernel Architecture. - Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han:
CatE: Category-Name GuidedWord Embedding. - Yu Sun, Yun Ye, Wu Liu, Wenpeng Gao, Yili Fu, Tao Mei:
Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation. - Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho:
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior. - Emanuele De Angelis, Fabio Fioravanti, Alberto Pettorossi, Maurizio Proietti:
Lemma Generation for Horn Clause Satisfiability: A Preliminary Study. 4-18 - John P. Gallagher:
Polyvariant Program Specialisation with Property-based Abstraction. 34-48 - Srikanth G. Tamilselvam, Ankush Gupta, Arvind Agarwal:
Compliance Change Tracking in Business Process Services. - Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang, Fumin Shen, Chen Qian, Ran He:
Make a Face: Towards Arbitrary High Fidelity Face Manipulation. - Nicolò Colombo, Ricardo Silva, Soong Moon Kang, Arthur Gretton:
Counterfactual Distribution Regression for Structured Inference. - Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu:
ARAML: A Stable Adversarial Training Framework for Text Generation. - Yuefan Shen, Changgeng Zhang, Hongbo Fu, Kun Zhou, Youyi Zheng:
DeepSketchHair: Deep Sketch-based 3D Hair Modeling. - Silvia Zuffi, Angjoo Kanazawa, Tanya Y. Berger-Wolf, Michael J. Black:
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild". - Nikolai Dokuchaev:
On spectral analysis and extrapolation for processes on branched 1-manifolds. - He Wang, Edmond S. L. Ho, Hubert P. H. Shum, Zhanxing Zhu:
Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling. - Srikanth Srinivasan, Utkarsh Tripathi, S. Venkitesh:
Decoding Downset codes over a finite grid. - Peng-Hsuan Li, Tsan-Yu Yang, Wei-Yun Ma:
CA-EHN: Commonsense Word Analogy from E-HowNet. - Mohammad Saeed Rad, Behzad Bozorgtabar, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran:
SROBB: Targeted Perceptual Loss for Single Image Super-Resolution. - Jennifer Hehn, Daniel Méndez Fernández, Falk Uebernickel, Walter Brenner, Manfred Broy:
On Integrating Design Thinking for a Human-centered Requirements Engineering. - Alp Öktem, Mireia Farrús, Antonio Bonafonte:
Prosodic Phrase Alignment for Machine Dubbing. - Ahsan Mahmood, Claudio Casetti, Carla-Fabiana Chiasserini, Paolo Giaccone, Jérôme Härri:
The RICH Prefetching in Edge Caches for In-Order Delivery to Connected Cars. - Zhijian He:
Sensitivity estimation of conditional value at risk using randomized quasi-Monte Carlo. - Tiago Ramalho, Miguel Miranda:
Density estimation in representation space to predict model uncertainty. - Cristian Rodriguez Opazo, Edison Marrese-Taylor, Fatemeh Sadat Saleh, Hongdong Li, Stephen Gould:
Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention. - Yanger Ma, Tony Tan:
Two-variable logic revisited. - Justin Iurman, Benoit Donnet, Frank Brockners:
Implementation of IOAM for IPv6 in the Linux Kernel. - Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang:
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge. - Zipeng Wang, Zhaoxiang Liu, Zezhou Chen, Huan Hu, Shiguo Lian:
A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models. - Leonel Dario Rozo:
Interactive Trajectory Adaptation through Force-guided Bayesian Optimization. - Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao:
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes. - Karl Van Wyk, Joe Falco, Geraldine Cheok:
Efficiently Improving and Quantifying Robot Accuracy In Situ. - Yi Zeng, Pingping Zhang, Jianming Zhang, Zhe L. Lin, Huchuan Lu:
Towards High-Resolution Salient Object Detection. - Mostafa Mansour, Oleg A. Stepanov:
Indoor Navigation Using Information From A Map And A Rangefinder. - Sameh K. Mohamed:
Unsupervised Hierarchical Grouping of Knowledge Graph Entities. - Alain Finkel, M. Praveen:
Verification of Flat FIFO Systems. - Soeren Nickel, Max Sondag, Wouter Meulemans, Markus Chimani, Stephen G. Kobourov, Jaakko Peltonen, Martin Nöllenburg:
Computing Stable Demers Cartograms. - Daniel Etiemble:
Comparing ternary and binary adders and multipliers. - Gang Hu, Lingbo Liu, Dacheng Tao, Jie Song, K. C. S. Kwok:
Investigation of wind pressures on tall building under interference effects using machine learning techniques. - Glenn Bitar, Anastasios M. Lekkas, Morten Breivik:
Improvements to Warm-Started Optimized Trajectory Planning for ASVs. - Iman Bagheri, Lata Narayanan, Jaroslav Opatrny:
Evacuation of equilateral triangles by mobile agents of limited communication range. - Yixuan Zhang, Sara Di Bartolomeo, Fangfang Sheng, Holly B. Jimison, Cody Dunne:
Evaluating Alignment Approaches in Superimposed Time-Series and Temporal Event-Sequence Visualizations. - Dekel Tsur:
An algorithm for destroying claws and diamonds. - Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks. - Zewen He, He Huang, Yudong Wu, Guan Huang, Wensheng Zhang:
Consistent Scale Normalization for Object Recognition. - Bharath Sudharsan, Manigandan Chockalingam:
A Microphone Array and Voice Algorithm based Smart Hearing Aid. - Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin:
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. - Xianfu Chen, Zhifeng Zhao, Celimuge Wu, Tao Chen, Honggang Zhang, Mehdi Bennis:
Secrecy Preserving in Stochastic Resource Orchestration for Multi-Tenancy Network Slicing. - Soumen Kanrar:
Traffic Analysis for Storage Finding in Video on Demand System. - Daniel Rosa Canêdo, Alexandre Ricardo Soares Romariz:
Data Analysis of Wireless Networks Using Classification Techniques. - Sebastián Gómez-González, Yassine Nemmour, Bernhard Schölkopf, Jan Peters:
Reliable Real Time Ball Tracking for Robot Table Tennis. - Leah Findlater, Steven Goodman, Yuhang Zhao, Shiri Azenkot, Margot J. Hanley:
Fairness Issues in AI Systems that Augment Sensory Abilities. - Qi Chen, Qing Yang:
Understanding Relative Network Delay inMicro-Energy Harvesting Wireless Networks. - Md. Jalil Piran, Doug Young Suh:
Learning-Driven Wireless Communications, towards 6G. - Ben Hutchinson, K. J. Pittl, Margaret Mitchell:
Interpreting Social Respect: A Normative Lens for ML Models. - Shree Krishna Sharma, Isaac Woungang, Alagan Anpalagan, Symeon Chatzinotas:
Towards Tactile Internet in Beyond 5G Era: Recent Advances, Current Issues and Future Directions. - Mamoru Doi:
New efficient flat-back 3D gadgets in origami extrusions compatible with the conventional pyramid-supported 3D gadgets. - Adriana D. Correia, Michael Moortgat, Henk T. C. Stoof:
Density Matrices for Derivational Ambiguity. - Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai:
Knowledge distillation for semi-supervised domain adaptation. - Fati Chen, Laurent Piccinini, Pascal Poncelet, Arnaud Sallaberry:
Node Overlap Removal Algorithms: A Comparative Study. - Steve Alpern, Stamatios Katsikas:
A note on the Uniformed Patroller Game. - Assaf Ben-Yishai, Young-Han Kim, Or Ordentlich, Ofer Shayevitz:
A Lower Bound on the Interactive Capacity of Binary Memoryless Symmetric Channels. - Mohammed Elhassani Charkani, Joël Kaboré:
Primitive Idempotents and Constacyclic Codes over Finite Chain Rings. - I. A. Chistiakov, Alexey Nikulin, I. B. Gartseev:
Pedestrian Dead-Reckoning Algorithms For Dual Foot-Mounted Inertial Sensors. - Tahsina Farah Sanam, Hana Godrich:
A Multi-View Discriminant Learning Approach for Indoor Localization Using Bimodal Features of CSI. - Zitao Liu, Zhexuan Xu, Yan Yan:
Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond. - David Eklund, Søren Hauberg:
Expected path length on random manifolds. - Omar Rivasplata, Vikram M. Tankasali, Csaba Szepesvári:
PAC-Bayes with Backprop. - Sakine Esmaili, Farzaneh Nasresfahani, M. R. Eslahchi:
Solving a fractional parabolic-hyperbolic free boundary problem which models the growth of tumor with drug application using finite difference-spectral method. - Youngdong Kim, Junho Yim, Juseung Yun, Junmo Kim:
NLNL: Negative Learning for Noisy Labels. - Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Cross-modal Zero-shot Hashing. - Jie Li, Haifeng Liu, Chuanghua Gui, Jianyu Chen, Zhenyuan Ni, Ning Wang:
The Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform. - Andreas Kamilaris, Agusti Fonts, Francesc X. Prenafeta-Boldu:
The Rise of Blockchain Technology in Agriculture and Food Supply Chains. - Ludvig af Klinteberg, Travis Askham, Mary Catherine A. Kropinski:
A Fast Integral Equation Method for the Two-Dimensional Navier-Stokes Equations. - Irvin Steve Cardenas, Jong-Hoon Kim:
Robonomics: The Study of Robot-Human Peer-to-Peer Financial Transactions and Agreements. - Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, Joakim Nivre:
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited. - Zaid Tahir, Waleed Tahir, Saad Ali Liaqat:
State Space System Modeling of a Quad Copter UAV. - Hatef Dastour, Wenyuan Liao:
A generalized optimal fourth-order finite difference scheme for a 2D Helmholtz equation with the perfectly matched layer boundary condition. - Muhammad Asim, Fahad Shamshad, Ali Ahmed:
Blind Image Deconvolution using Pretrained Generative Priors. - Xihan Chen, Hei Victor Cheng, An Liu, Kaiming Shen, Min-Jian Zhao:
Mixed-Timescale Beamforming and Power Splitting for Massive MIMO Aided SWIPT IoT Network. - Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, Ioannis Kompatsiaris:
ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning. - Ning Qiao, Giacomo Indiveri:
Scaling mixed-signal neuromorphic processors to 28 nm FD-SOI technologies. - Ning Qiao, Giacomo Indiveri, Chiara Bartolozzi:
Automatic gain control of ultra-low leakage synaptic scaling homeostatic plasticity circuits. - Ning Qiao, Giacomo Indiveri:
A bi-directional Address-Event transceiver block for low-latency inter-chip communication in neuromorphic systems. - Rishabh Misra, Prahal Arora:
Sarcasm Detection using Hybrid Neural Network. - Trong-Nguyen Nguyen, Huu-Hung Huynh, Jean Meunier:
Estimating skeleton-based gait abnormality index by sparse deep auto-encoder. - Trong-Nguyen Nguyen, Huu-Hung Huynh, Jean Meunier:
Skeleton-based Gait Index Estimation with LSTMs. - Trong-Nguyen Nguyen, Huu-Hung Huynh, Jean Meunier:
Assessment of gait normality using a depth camera and mirrors. - Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara:
Towards Effective Device-Aware Federated Learning. - Trong-Nguyen Nguyen, Huu-Hung Huynh, Jean Meunier:
Human Gait Symmetry Assessment using a Depth Camera and Mirrors. - Yu-Wei Chao, Jimei Yang, Weifeng Chen, Jia Deng:
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control. - Ismail Oukid, Lucas Lersch:
On the Diversity of Memory and Storage Technologies. - Kiru Park, Timothy Patten, Markus Vincze:
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation. - Sercan Ömer Arik, Tomas Pfister:
TabNet: Attentive Interpretable Tabular Learning. - Anne Canteaut, Lukas Kölsch, Chao Li, Chunlei Li, Kangquan Li, Longjiang Qu, Friedrich Wiemer:
On the Differential-Linear Connectivity Table of Vectorial Boolean Functions. - Ruo-Wei Hung, Fatemeh Keshavarz-Kohjerdi:
Finding Hamiltonian and Longest (s, t)-paths of C-shaped Supergrid Graphs in Linear Time. - Milan Straka, Jana Straková, Jan Hajic:
Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing. - Prashant Gupta, Bala Krishnamoorthy:
Continuous Toolpath Planning in Additive Manufacturing. - Koffi Wilfrid Houédanou:
A posteriori error analysis for a new fully-mixed isotropic discretization to the stationary Stokes-Darcy coupled problem. - Ramsès Fernàndez-València:
Undeniable signatures based on isogenies of supersingular hyperelliptic curves. - Tomer Sery, Kobi Cohen:
On Analog Gradient Descent Learning over Multiple Access Fading Channels. - Sean T. Yang, Po-Shen Lee, Jevin D. West, Bill Howe:
Delineating Knowledge Domains in the Scientific Literature Using Visual Information. - Aditya Bharadwaj, David Gwizdala, Yoonjin Kim, Kurt Luther, T. M. Murali:
Flud: a hybrid crowd-algorithm approach for visualizing biological networks. - Gabriela Malenova, Olof Runborg:
Stochastic regularity of general quadratic observables of high frequency waves. - Valerie Khan, Geoffrey Goodell:
Libra: Is it Really about Money? - Roman Klokov, Jakob Verbeek, Edmond Boyer:
Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image. - Cheng Wan, Andrew W. McHill, Elizabeth B. Klerman, Akane Sano:
Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales. - Zhenzhe Zheng, R. Srikant:
Optimal Search Segmentation Mechanisms for Online Platform Markets. - Hao Tan, Mohit Bansal:
LXMERT: Learning Cross-Modality Encoder Representations from Transformers. - Benjamin Sznajder, Ariel Gera, Yonatan Bilu, Dafna Sheinwald, Ella Rabinovich, Ranit Aharonov, David Konopnicki, Noam Slonim:
Controversy in Context. - Aditi A. Mavalankar, Ajitesh Gupta, Chetan Gandotra, Rishabh Misra:
Hotel Recommendation System. - Wei Sun, Tianfu Wu:
Image Synthesis From Reconfigurable Layout and Style. - Yuan Liu, Zhongwei Cheng, Jie Liu, Bourhan Yassin, Zhe Nan, Jiebo Luo:
AI for Earth: Rainforest Conservation by Acoustic Surveillance. - Wenjin Tao, Ming C. Leu, Zhaozheng Yin:
Multi-Modal Recognition of Worker Activity for Human-Centered Intelligent Manufacturing. - Katherine E. Isaacs, Todd Gamblin:
Preserving Command Line Workflow for a Package Management System using ASCII DAG Visualization. - Josiah Wang, Lucia Specia:
Phrase Localization Without Paired Training Examples. - Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang:
Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning. - Guillaume Baudart, Louis Mandel, Eric Atkinson, Benjamin Sherman, Marc Pouzet, Michael Carbin:
Reactive Probabilistic Programming. - Zheng Xie:
Predicting publication productivity for researchers: a piecewise Poisson model. - Ross Griebenow, Brennan Klein, Erik Hoel:
Finding the right scale of a network: Efficient identification of causal emergence through spectral clustering. - Jianyu Niu:
Eunomia: A Permissionless Parallel Chain Protocol Based on Logical Clock. - Michal Luria, John Zimmerman, Jodi Forlizzi:
Championing Research Through Design in HRI. - Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner:
Securing HPC using Federated Authentication. - Kaile Gong, Juan Xie, Ying Cheng, Vincent Larivière, Cassidy R. Sugimoto:
The citation advantage of foreign language references for Chinese social science papers. - Michal Luria, Amit Zoran, Jodi Forlizzi:
Challenges of Designing HCI for Negative Emotions. - Yvo Desmedt, Arkadii Slinko:
Realistic versus Rational Secret Sharing. - J. G. Benade, John N. Hooker:
Optimization Bounds from the Branching Dual. - Jun Yang, Shengyang Sun, Daniel M. Roy:
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes. - Songwei Ge, Austin Dill, Eunsu Kang, Chun-Liang Li, Lingyao Zhang, Manzil Zaheer, Barnabás Póczos:
Developing Creative AI to Generate Sculptural Objects. - Songwei Ge, Curtis Xuan, Ruihua Song, Chao Zou, Wei Liu, Jin Zhou:
From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Stories. - Mohammad Vahid Jamali, Hessam Mahdavifar:
Covert Millimeter-Wave Communication via a Dual-Beam Transmitter. - Cenk Gündogan, Jakob Pfender, Michael Frey, Thomas C. Schmidt, Felix Shzu-Juraschek, Matthias Wählisch:
Gain More for Less: The Surprising Benefits of QoS Management in Constrained NDN Networks. - Santosh Kesiraju, Oldrich Plchot, Lukás Burget, Suryakanth V. Gangashetty:
Learning document embeddings along with their uncertainties. - Songwei Ge, Zhicheng Dou, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen:
Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. - Jaime Sevilla, Pablo Moreno:
Implications of Quantum Computing for Artificial Intelligence alignment research. - Mauricio Gonzalez-Soto, Felipe Orihuela-Espina:
Reinforcement Learning is not a Causal problem. - Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe:
Action recognition with spatial-temporal discriminative filter banks. - Bishwaranjan Bhattacharjee, Noel Codella, John R. Kender, Siyu Huo, Patrick Watson, Michael R. Glass, Parijat Dube, Matthew Hill, Brian M. Belgodere:
P2L: Predicting Transfer Learning for Images and Semantic Relations. - Giorgia Pitteri, Michaël Ramamonjisoa, Slobodan Ilic, Vincent Lepetit:
On Object Symmetries and 6D Pose Estimation from Images. - Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar:
AdaCliP: Adaptive Clipping for Private SGD. - Gamaleldin F. Elsayed, Simon Kornblith, Quoc V. Le:
Saccader: Improving Accuracy of Hard Attention Models for Vision. - Awais Mansoor, Marius George Linguraru:
Communal Domain Learning for Registration in Drifted Image Spaces. - Therese Biedl, Stefan Felsner, Henk Meijer, Alexander Wolff:
Line and Plane Cover Numbers Revisited. - Tajul Rosli Bin Razak:
An Expert System Approach for determine the stage of UiTM Perlis Palapes Cadet Performance and Ranking Selection. - Kashif Sultan, Hazrat Ali, Haris Anwaar, Kabo Poloko Nkabiti, Adeel Ahmad, Zhongshan Zhang:
Understanding and Partitioning Mobile Traffic using Internet Activity Records Data - A Spatiotemporal Approach. - Fengze Liu, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille:
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. - Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu:
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. - Molly Baird, Sara C. Billey, Erik D. Demaine, Martin L. Demaine, David Eppstein, Sándor P. Fekete, Graham Gordon, Sean Griffin, Joseph S. B. Mitchell, Joshua P. Swanson:
Existence and hardness of conveyor belts. - Jiahua Dong, Yang Cong, Gan Sun, Dongdong Hou:
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation. - Donghuo Zeng:
Learning Joint Embedding for Cross-Modal Retrieval. - Zhen Zhu, Mengde Xu, Song Bai, Tengteng Huang, Xiang Bai:
Asymmetric Non-local Neural Networks for Semantic Segmentation. - Tian Chen, Wang Ya Zhe, Liu Peng, Dai Rui Rui, Zhou An Yuan, Zhuo Xin Wang:
Differentiated context-aware hook placement for different owners' smartphones. - KwanYong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon:
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation. - Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, Pascale Fung:
MoEL: Mixture of Empathetic Listeners. - Rongxiang Weng, Heng Yu, Shujian Huang, Weihua Luo, Jiajun Chen:
Improving Neural Machine Translation with Pre-trained Representation. - Yang Li, Zhi Li, Liang Chen, Guoqing Li:
A false data injection attack method for generator dynamic state estimation. - Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig:
Latent Relation Language Models. - Nan Li, Ilya V. Kolmanovsky, Anouck Girard:
Detection-averse optimal and receding-horizon control for Markov decision processes. - Chin-Yu Sun, Allen C.-H. Wu, TingTing Hwang:
A Novel Privacy-Preserving Deep Learning Scheme without Using Cryptography Component. - Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking. - Jie Luo, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III, Sarah F. Frisken:
Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery. - Naoki Yonezawa:
A sufficient condition for a linear speedup in competitive parallel computing. - Kui Xue, Yangming Zhou, Zhiyuan Ma, Tong Ruan, Huanhuan Zhang, Ping He:
Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text. - Rojeh Hayek, Oded Shmueli:
Improved Cardinality Estimation by Learning Queries Containment Rates. - Enmao Diao, Jie Ding, Vahid Tarokh:
Restricted Recurrent Neural Networks. - Kevin K. Lin, Fei Lu:
Data-driven model reduction, Wiener projections, and the Mori-Zwanzig formalism. - Iman Valiulahi, Farzad Parvaresh, Ali Asghar Beheshti Shirazi:
Eliminating Impulsive Noise in Pilot-Aided OFDM Channels via Dual of Penalized Atomic Norm. - Xuan Luo, Yanmeng Kong, Jason Lawrence, Ricardo Martin-Brualla, Steven M. Seitz:
KeystoneDepth: Visualizing History in 3D. - Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan S. Kankanhalli:
User Diverse Preference Modeling by Multimodal Attentive Metric Learning. - Yerai Doval, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning. - Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo:
RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. - ThaiBinh Nguyen, Atsuhiro Takasu:
Boosting the Rating Prediction with Click Data and Textual Contents. - Zezhou Chen, Zhaoxiang Liu, Huan Hu, Jinqiang Bai, Shiguo Lian, Fuyuan Shi, Kai Wang:
A Realistic Face-to-Face Conversation System based on Deep Neural Networks. - Alexander Rind, Markus Wagner, Wolfgang Aigner:
Towards a Structural Framework for Explicit Domain Knowledge in Visual Analytics. - Christian Winter, Andreas Kipf, Thomas Neumann, Alfons Kemper:
GeoBlocks: A Query-Driven Storage Layout for Geospatial Data. - Weitsung Lin, Tinghsuan Chao, Jianmin Wu, Tianhuang Su:
Predict Emoji Combination with Retrieval Strategy. - Maik Simon, Markus Küchhold, Tobias Senst, Erik Bochinski, Thomas Sikora:
Video-based Bottleneck Detection utilizing Lagrangian Dynamics in Crowded Scenes. - Ramy Amer, Walid Saad, Nicola Marchetti:
Mobility in the Sky: Performance and Mobility Analysis for Cellular-Connected UAVs. - Janis Voigtländer:
Free Theorems Simply, via Dinaturality. - Chenghao Hu, Jingyan Jiang, Zhi Wang:
Decentralized Federated Learning: A Segmented Gossip Approach. - Ainhoa Aldave, Juan M. Vara, David Granada, Esperanza Marcos:
Leveraging creativity in requirements elicitation within agile software development: a systematic literature review. - Stefano Bistarelli, Francesco Faloci, Carlo Taticchi:
Implementing Ranking-Based Semantics in ConArg: a Preliminary Report. - Felix Victor Münch, Ben Thies, Cornelius Puschmann, Axel Bruns:
Walking Through Twitter: Sampling a Language-Based Follow Network of Influential Twitter Accounts. - Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim:
A Quality Metric for Visualization of Clusters in Graphs. - Stefan Kaltenbacher, Martin Steinberger, Martin Horn:
Pipe Roughness Identification of Water Distribution Networks: The Full Turbulent Case. - Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
Dialog State Tracking with Reinforced Data Augmentation. - Haoshu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yong-Lu Li, Cewu Lu:
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting. - Gulam Dastagir Khan, Zhiyong Chen, Yamin Yan:
Event-Triggered Output Synchronization of Heterogeneous Nonlinear Multi-Agents. - Jules Kruijswijk, Petri Parvinen, Maurits Kaptein:
Exploring Offline Policy Evaluation for the Continuous-Armed Bandit Problem. - Yike Wu, Shiwan Zhao, Jia Chen, Ying Zhang, Xiaojie Yuan, Zhong Su:
Improving Captioning for Low-Resource Languages by Cycle Consistency. - Youssef Al Hariri, Walid Magdy, Maria Wolters:
Arabs and Atheism: Religious Discussions in the Arab Twittersphere. - Yubo Xie, Ekaterina Svikhnushina, Pearl Pu:
A Multi-Turn Emotionally Engaging Dialog Model. - Zhengxuan Wu, Yueyi Jiang:
Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives. - Shibamouli Lahiri:
Replication of the Keyword Extraction part of the paper "'Without the Clutter of Unimportant Words': Descriptive Keyphrases for Text Visualization". - Mahsa Shafaei, Niloofar Safi Samghabadi, Sudipta Kar, Thamar Solorio:
Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies. - Jianquan Li, Xiaokang Liu, Wenpeng Yin, Min Yang, Liqun Ma:
An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing. - (Withdrawn) A Multi-level Neural Network for Implicit Causality Detection in Web Texts.
- Suttinee Sawadsitang, Dusit Niyato, Kongrath Suankaewmanee, Puay Siew Tan:
Re-route Package Pickup and Delivery Planning with Random Demands. - Muhammad Junaid Farooq, Quanyan Zhu:
IoT Supply Chain Security: Overview, Challenges, and the Road Ahead. - A. M. El-Edkawy, M. A. El-Dosuky, Taher Hamza:
DNA based Network Model and Blockchain. - Hongren Mao, Hung-yi Lee:
Polly Want a Cracker: Analyzing Performance of Parroting on Paraphrase Generation Datasets. - Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han:
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. - Anal Shah, Palak Rajdev, Jaidip Kotak:
Memory Forensic Analysis of MQTT Devices. - Xu Zhong, Jianbin Tang, Antonio Jimeno-Yepes:
PubLayNet: largest dataset ever for document layout analysis. - Mohammadreza Baharani, Shrey Mohan, Hamed Tabkhi:
Real-time Person Re-identification at the Edge: A Mixed Precision Approach. - Benedikt T. Boenninghoff, Robert M. Nickel, Steffen Zeiler, Dorothea Kolossa:
Similarity Learning for Authorship Verification in Social Media. - Stephen M. Petrie, T'Mir D. Julius:
A novel text representation which enables image classifiers to perform text classification, applied to name disambiguation. - Sterling Ramroach, Andrew Dhanoo, Brian Cockburn, Ajay Joshi:
CUDA optimized Neural Network predicts blood glucose control from quantified joint mobility and anthropometrics. - Zixian Huang, Yulin Shen, Xiao Li, Yuang Wei, Gong Cheng, Lin Zhou, Xinyu Dai, Yuzhong Qu:
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level. - Sayantan Sengupta, Sudip Sanyal:
Multi-hypothesis classifier. - Zhao Zhang, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zhengjun Zha, Meng Wang:
Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery. - Tian Li, Anit Kumar Sahu, Ameet Talwalkar, Virginia Smith:
Federated Learning: Challenges, Methods, and Future Directions. - Ning Qiao, Giacomo Indiveri:
Analog circuits for mixed-signal neuromorphic computing architectures in 28 nm FD-SOI technology. - Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang:
Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification. - Hugo A. Akitaya, Esther M. Arkin, Mirela Damian, Erik D. Demaine, Vida Dujmovic, Robin Y. Flatland, Matias Korman, Belén Palop, Irene Parada, André van Renssen, Vera Sacristán:
Universal Reconfiguration of Facet-Connected Modular Robots by Pivots: The O(1) Musketeers. - Bingzhe Wu, Shiwan Zhao, Haoyang Xu, Chaochao Chen, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou:
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. - Filip Krikava, Heather Miller, Jan Vitek:
Scala Implicits are Everywhere: A large-scale study of the use of Implicits in the wild. - Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz:
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound. - Michal Ostapowicz, Kamil Zbikowski:
Detecting Fraudulent Accounts on Blockchain: A Supervised Approach. - Piotr Zelasko, Jan Mizgajski, Mikolaj Morzy, Adrian Szymczak, Piotr Szymanski, Lukasz Augustyniak, Yishay Carmiel:
Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition. - Alessandra Maciel Paz Milani, Fernando V. Paulovich, Isabel Harb Manssour:
Visualization in the preprocessing phase: an interview study with enterprise professionals. - Mohammad Reza Keshtkaran, Chethan Pandarinath:
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data. - Mor Geva, Yoav Goldberg, Jonathan Berant:
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets. - Marcus Soll, Tobias Hinz, Sven Magg, Stefan Wermter:
Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples. - Renjie Wei, Kang Ma:
Energy Management of Airport Service Electric Vehicles to Match Renewable Generation through Rollout Approach. - Mohamed O. I. Musa, Taisir Elgorashi, Jaafar M. H. Elmirghani:
Energy Efficient Routing and Network Coding in Core Networks. - Qing Guo, Wei Feng, Zhihao Chen, Ruijun Gao, Liang Wan, Song Wang:
Effects of Blur and Deblurring to Visual Object Tracking. - Mohamed H. Abdelpakey, Mohamed S. Shehata:
DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking. - Vinit Sarode, Xueqian Li, Hunter Goforth, Yasuhiro Aoki, Rangaprasad Arun Srivatsan, Simon Lucey, Howie Choset:
PCRNet: Point Cloud Registration Network using PointNet Encoding. - Slavena Vasileva, Pepa Atanasova, Lluís Màrquez, Alberto Barrón-Cedeño, Preslav Nakov:
It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction. - Takahiro Maekawa, Ayana Kawamura, Takayuki Nakachi, Hitoshi Kiya:
Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation. - Ronny Bergmann, Marc Herrmann, Roland Herzog, Stephan Schmidt, José Vidal-Núñez:
Discrete Total Variation of the Normal Vector Field as Shape Prior with Applications in Geometric Inverse Problems. - Marco Covelli, Massimiliano Morrelli:
Nuova frontiera della classificazione testuale: Big data e calcolo distribuito. - Sudhakar Singh, Pankaj Singh, Rakhi Garg, P. K. Mishra:
Mining Association Rules in Various Computing Environments: A Survey. - Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao:
Deep High-Resolution Representation Learning for Visual Recognition. - Babak Salimi, Bill Howe, Dan Suciu:
Data Management for Causal Algorithmic Fairness. - Marko Ilievski, Sean Sedwards, Ashish Gaurav, Aravind Balakrishnan, Atrisha Sarkar, Jaeyoung Lee, Frédéric Bouchard, Ryan De Iaco, Krzysztof Czarnecki:
Design Space of Behaviour Planning for Autonomous Driving. - Insik Yoon, Matthew Jerry, Suman Datta, Arijit Raychowdhury:
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator. - Jugal Garg, Edin Husic, László A. Végh:
Auction Algorithms for Market Equilibrium with Weak Gross Substitute Demands. - Ieva Dauzickaite, Amos S. Lawless, Jennifer A. Scott, Peter Jan van Leeuwen:
Spectral estimates for saddle point matrices arising in weak constraint four-dimensional variational data assimilation. - (Withdrawn) Non-negative Sparse and Collaborative Representation for Pattern Classification.
- Siavash Haghiri, Felix A. Wichmann, Ulrike von Luxburg:
Estimation of perceptual scales using ordinal embedding. - Nathaniel Tucker, Ahmadreza Moradipari, Mahnoosh Alizadeh:
Constrained Thompson Sampling for Real-Time Electricity Pricing with Grid Reliability Constraints. - Julissa Milligan, Sarah Scheffler, Andrew Sellars, Trishita Tiwari, Ari Trachtenberg, Mayank Varia:
Case Study: Disclosure of Indirect Device Fingerprinting in Privacy Policies. - Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories. - Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Assessing the Impact of a User-Item Collaborative Attack on Class of Users. - Pooja Parameshwarappa, Zhiyuan Chen, Günes Koru:
A Multi-level Clustering Approach for Anonymizing Large-Scale Physical Activity Data. - Gábor Petneházi:
QCNN: Quantile Convolutional Neural Network. - Boris Faleichik:
Minimal residual multistep methods for large stiff non-autonomous linear problems. - Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane:
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. - Noëlie Cherrier, Jean-Philippe Poli, Maxime Defurne, Franck Sabatié:
Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics. - Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia:
Evolutionary Computation, Optimization and Learning Algorithms for Data Science. - Aleem Akhtar:
Evolution of Ant Colony Optimization Algorithm - A Brief Literature Review. - Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-based Scoring Function for Re-ranking Peptide-Spectrum Matches. - Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong:
A Fast and Efficient Stochastic Opposition-Based Learning for Differential Evolution in Numerical Optimization. - Tian Zhang, Jia Wang, Yihang Dan, Yuxiang Lanqiu, Jian Dai, Xu Han, Xiaojuan Sun, Kun Xu:
Efficient training and design of photonic neural network through neuroevolution. - Carsten Carstensen, Neela Nataraj:
Adaptive Morley FEM for the von Kármán equations with optimal convergence rates. - Asmaa Ghoumari, Amir Nakib:
Graph based adaptive evolutionary algorithm for continuous optimization. - Jiyang Bai, Jiawei Zhang:
BGADAM: Boosting based Genetic-Evolutionary ADAM for Convolutional Neural Network Optimization. - Daniel Kang, Yi Sun, Dan Hendrycks, Tom Brown, Jacob Steinhardt:
Testing Robustness Against Unforeseen Adversaries. - Alexander V. Terekhov, Guglielmo Montone, J. Kevin O'Regan:
Knowledge transfer in deep block-modular neural networks. - Jesus L. Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser:
Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning. - Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov:
Spiking Neural Networks and Online Learning: An Overview and Perspectives. - Leo Cazenille:
Comparing reliability of grid-based Quality-Diversity algorithms using artificial landscapes. - Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Reservoir-size dependent learning in analogue neural networks. - Shalin Shah:
Genetic Algorithm for the 0/1 Multidimensional Knapsack Problem. - Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz:
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. - David Shriver, Dong Xu, Sebastian G. Elbaum, Matthew B. Dwyer:
Refactoring Neural Networks for Verification. - Siddhartha S. Srinivasa, Patrick Lancaster, Johan Michalove, Matt Schmittle, Colin Summers, Matthew Rockett, Joshua R. Smith, Sanjiban Choudhury, Christoforos I. Mavrogiannis, Fereshteh Sadeghi:
MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research. - Chun-Chieh Wang, Yun-Cheng Tsai:
Deep Reinforcement Learning for Foreign Exchange Trading. - Shalin Shah, Venkataramana B. Kini:
Hebbian Graph Embeddings. - Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu:
"Mask and Infill" : Applying Masked Language Model to Sentiment Transfer. - Jian Yao, Ahmad Al-Dahle:
Coarse-to-fine Optimization for Speech Enhancement. - Tim Capes, Vishal Raheja, Mete Kemertas, Iqbal Mohomed:
Dynamic Scheduling of MPI-based Distributed Deep Learning Training Jobs. - Keaton Hamm, Longxiu Huang:
Perturbations of CUR Decompositions. - Alfio Gliozzo, Michael R. Glass, Sarthak Dash, Mustafa Canim:
Populating Web Scale Knowledge Graphs using Distantly Supervised Relation Extraction and Validation. - Jasper Marianczuk:
Engineering Faster Sorters for Small Sets of Items. - Maanak Gupta, James O. Benson, Farhan Patwa, Ravi S. Sandhu:
Secure Cloud Assisted Smart Cars Using Dynamic Groups and Attribute Based Access Control. - Pengcheng He, Yi Mao, Kaushik Chakrabarti, Weizhu Chen:
X-SQL: reinforce schema representation with context. - Yang Li, Shihao Ji:
Neural Plasticity Networks. - James F. Brady:
Computing System Congestion Management Using Exponential Smoothing Forecasting. - Alan Arroyo, Martin Derka, Irene Parada:
Extending Simple Drawings. - Roger K. Moore:
A 'Canny' Approach to Spoken Language Interfaces. - Jonathan Rawski:
Tensor Product Representations of Subregular Formal Languages. - Anh Tuan Tran, Cuong V. Nguyen, Tal Hassner:
Transferability and Hardness of Supervised Classification Tasks. - Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A Neural Network for Semi-Supervised Learning on Manifolds. - Nagendra Kumar, Rakshita Nagalla, Tanya Marwah, Manish Singh:
Sentiment Dynamics in Social Media News Channels. - Seok-Hee Hong, Peter Eades, Marnijati Torkel, Ziyang Wang, David Chae, Sungpack Hong, Daniel Langerenken, Hassan Chafi:
Multi-level Graph Drawing using Infomap Clustering. - Qi Bi, Kun Qin, Zhili Li, Han Zhang, Kai Xu:
Multiple instance dense connected convolution neural network for aerial image scene classification. - Alexandre Ern, Thirupathi Gudi, Iain Smears, Martin Vohralík:
Equivalence of local-and global-best approximations, a simple stable local commuting projector, and optimal hp approximation estimates in H(div). - Xuecong Sun, Han Jia, Zhe Zhang, Yuzhen Yang, Zhaoyong Sun, Jun Yang:
Sound Localization and Separation in Three-dimensional Space Using a Single Microphone with a Metamaterial Enclosure. - Rangaprasad Arun Srivatsan, Tejas Zodage, Howie Choset:
Globally optimal registration of noisy point clouds. - Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang:
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. - Yayong Li, Jie Yin, Ling Chen:
Semi-supervised Adversarial Active Learning on Attributed Graphs. - Yuren Zhou, Clement Lork, Wen-Tai Li, Chau Yuen, Yeong Ming Keow:
Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques. - Pengfei Zhang, Yu Cao, Benyuan Liu:
Multi-Stream Single Shot Spatial-Temporal Action Detection. - Takahiro Kawamura, Shusaku Egami, Koutarou Tamura, Yasunori Hokazono, Takanori Ugai, Yusuke Koyanagi, Fumihito Nishino, Seiji Okajima, Katsuhiko Murakami, Kunihiko Takamatsu, Aoi Sugiura, Shun Shiramatsu, Shawn Zhang, Kouji Kozaki:
Report on the First Knowledge Graph Reasoning Challenge 2018 - Toward the eXplainable AI System. - Chunyu Li, Yusuke Monno, Hironori Hidaka, Masatoshi Okutomi:
Pro-Cam SSfM: Projector-Camera System for Structure and Spectral Reflectance from Motion. - Kuan-Yen Lin, Chao-Chun Hsu, Yun-Nung Chen, Lun-Wei Ku:
Entropy-Enhanced Multimodal Attention Model for Scene-Aware Dialogue Generation. - Zhendong Wang, Yang Feng, Yi Wang, James A. Jones, David F. Redmiles:
Unveiling Elite Developers' Activities in Open Source Projects. - Yitian Shao, Hui Hu, Yon Visell:
A Wearable Tactile Sensor Array for Large Area Remote Vibration Sensing in the Hand. - Prathamesh Mayekar, Himanshu Tyagi:
Finite Precision Stochastic Optimization - Accounting for the Bias. - Qingguo Hong, Shuonan Wu, Jinchao Xu:
Extended Galerkin Method. - Liang Wang, Wei Zhao, Ruoyu Jia, Sujian Li, Jingming Liu:
Denoising based Sequence-to-Sequence Pre-training for Text Generation. - Minghui Liao, Pengyuan Lyu, Minghang He, Cong Yao, Wenhao Wu, Xiang Bai:
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes. - Mohamed Dawod, Sean Hanna:
BIM-assisted object recognition for the on-site autonomous robotic assembly of discrete structures. - Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan, Dongyan Zhao:
Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs. - Jorge A. Pérez, Jurriaan Rot:
Proceedings Combined 26th International Workshop on Expressiveness in Concurrency and 16th Workshop on Structural Operational Semantics, EXPRESS/SOS 2019, Amsterdam, The Netherlands, 26th August 2019. EPTCS 300, 2019 [contents] - Sanath Narayan, Hisham Cholakkal, Fahad Shahbaz Khan, Ling Shao:
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization. - Yooseung Wang, Junghoon Seo, Taegyun Jeon:
NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local Operations. - Manoj Reddy Dareddy, Mahashweta Das, Hao Yang:
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. - Ahmed Elbery, Hesham Rakha, Mustafa ElNainay:
Vehicular Communication and Mobility Sustainability: the Mutual Impacts in Large-scale Smart Cities. - Yao Sun, Lang Li, Guangze Shi, Xiaochao Hou, Mei Su:
Power Factor Angle Droop Control-A General Decentralized Control of Cascaded inverters. - Mathias Anselmann, Markus Bause, Simon Becher, Gunar Matthies:
Galerkin-collocation approximation in time for the wave equation and its post-processing. - Deokyun Kim, Minseon Kim, Gihyun Kwon, Daeshik Kim:
Progressive Face Super-Resolution via Attention to Facial Landmark. - Jiexiang Wang, Cheng Bian, Meng Li, Xin Yang, Kai Ma, Wenao Ma, Jin Yuan, Xinghao Ding, Yefeng Zheng:
Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images. - Dheeraj Reddy Pailla, Varghese Alex Kollerathu, Sai Saketh Chennamsetty:
Object detection on aerial imagery using CenterNet. - Dmitry V. Luciv, Dmitrij V. Koznov, A. A. Shelikhovskii, Konstantin Yu. Romanovsky, George A. Chernishev, Andrey N. Terekhov, Dmitry A. Grigoriev, Anna N. Smirnova, D. V. Borovkov, A. I. Vasenina:
Interactive Duplicate Search in Software Documentation. - Junghoon Kim, Bruno Clerckx, Paul D. Mitcheson:
Experimental Analysis of Harvested Energy and Throughput Trade-off in a Realistic SWIPT System. - William S. Evans, Pawel Rzazewski, Noushin Saeedi, Chan-Su Shin, Alexander Wolff:
Representing Graphs and Hypergraphs by Touching Polygons in 3D. - Canan Aydogdu, Musa Furkan Keskin, Nil Garcia, Henk Wymeersch, Daniel W. Bliss:
RadChat: Spectrum Sharing for Automotive Radar Interference Mitigation. - Georgios Karantaidis, Ioannis Sarridis, Constantine Kotropoulos:
Block Randomized Optimization for Adaptive Hypergraph Learning. - José Antonio Sánchez Rodríguez, Jui-Chieh Wu, Mustafa Khandwawala:
Two-Stage Session-based Recommendations with Candidate Rank Embeddings. - Shujian Liao, Terry J. Lyons, Weixin Yang, Hao Ni:
Learning stochastic differential equations using RNN with log signature features. - Le-Minh Kieu, Nicolas Malleson, Alison J. Heppenstall:
Dealing with uncertainty in agent-based models for short-term predictions. - Jiahao Lin, Gim Hee Lee:
Trajectory Space Factorization for Deep Video-Based 3D Human Pose Estimation. - Bernhard Eidel, Andreas Fischer, Ajinkya Gote:
A Nonlinear Finite Element Heterogeneous Multiscale Method for the Homogenization of Hyperelastic Solids and a Novel Staggered Two-Scale Solution Algorithm. - Jiaxing Zhao, Jiang-Jiang Liu, Deng-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng:
EGNet: Edge Guidance Network for Salient Object Detection. - Nagendra Kumar, Yash Chandarana, Anand Konjengbam, Manish Singh:
Using Social Media for Word-of-Mouth Marketing. - Manoel Horta Ribeiro, Raphael Ottoni, Robert West, Virgílio A. F. Almeida, Wagner Meira Jr.:
Auditing Radicalization Pathways on YouTube. - Christopher Natoli, Jiangshan Yu, Vincent Gramoli, Paulo Jorge Esteves Veríssimo:
Deconstructing Blockchains: A Comprehensive Survey on Consensus, Membership and Structure. - Tong Guo, Huilin Gao:
Revisit Semantic Representation and Tree Search for Similar Question Retrieval. - Jui-Chieh Wu, José Antonio Sánchez Rodríguez, Humberto Jesús Corona Pampín:
Session-based Complementary Fashion Recommendations. - Dietmar Jannach, Michael Jugovac:
Measuring the Business Value of Recommender Systems. - Dominique Beaini, Sofiane Achiche, Alexandre Duperré, Maxime Raison:
Deep Green Function Convolution for Improving Saliency in Convolutional Neural Networks. - Luis Cruz, Rui Abreu, John C. Grundy, Li Li, Xin Xia:
Do Energy-oriented Changes Hinder Maintainability? - Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim:
Argument Invention from First Principles. - Tania Panayiotou, Giannis Savva, Ioannis Tomkos, Georgios Ellinas:
Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks. - Guoliang Feng, Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu:
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy. - Hongyu Li, Tianqi Han:
An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning. - Jens Dittrich, Joris Nix:
The Case for Deep Query Optimisation. - Runzhe Yang, Xingyuan Sun, Karthik Narasimhan:
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation. - Yu-Kai Huang, Tsung-Han Wu, Yueh-Cheng Liu, Winston H. Hsu:
Indoor Depth Completion with Boundary Consistency and Self-Attention. - Yang Liu, Mirella Lapata:
Text Summarization with Pretrained Encoders. - Saptarshi Bej, Narek Davtyan, Markus Wolfien, Mariam Nassar, Olaf Wolkenhauer:
LoRAS: An oversampling approach for imbalanced datasets. - Vikraman Arvind, Abhranil Chatterjee, Rajit Datta, Partha Mukhopadhyay:
On Explicit Branching Programs for the Rectangular Determinant and Permanent Polynomials. - Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni:
The compositionality of neural networks: integrating symbolism and connectionism. - Arthur van Goethem, Bettina Speckmann, Kevin Verbeek:
Optimal Morphs of Planar Orthogonal Drawings II. - Hongzhi Wang, Yijie Yang, Yang Song:
A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics. - David Baum, Christina Sixtus, Lisa Vogelsberg, Ulrich W. Eisenecker:
Understanding Conditional Compilation Through Integrated Representation of Variability and Source Code. - Dotan Di Castro, Joel Oren, Shie Mannor:
Practical Risk Measures in Reinforcement Learning. - Xiangyun Lei, Fred Hohman, Duen Horng Chau, Andrew J. Medford:
ElectroLens: Understanding Atomistic Simulations Through Spatially-resolved Visualization of High-dimensional Features. - Daniel Zhengyu Huang, Philip Avery, Charbel Farhat:
An Embedded Boundary Approach for Resolving the Contribution of Cable Subsystems to Fully Coupled Fluid-Structure Interaction. - Márton Naszódi, Moritz Venzin:
Covering convex bodies and the Closest Vector Problem. - Zheng Li, Mo Yang, Yuwen Zhang:
Hybrid LBM-FVM and LBM-MCM Methods for Fluid Flow and Heat Transfer Simulation. - Christian R. G. Dreher, Mirko Wächter, Tamim Asfour:
Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks. - Fengshun Xiao, Yingting Wu, Hai Zhao, Rui Wang, Shu Jiang:
Dual Skew Divergence Loss for Neural Machine Translation. - Chen Zhong, Ziyang Lu, Mustafa Cenk Gursoy, Senem Velipasalar:
A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel Access. - Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara:
Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions. - Marcos Cramer, Leendert W. N. van der Torre:
SCF2 - an Argumentation Semantics for Rational Human Judgments on Argument Acceptability: Technical Report. - Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate:
Coordination Through Shared Randomness. - Chenglin Fan, Anna C. Gilbert, Benjamin Raichel, Rishi Sonthalia, Gregory Van Buskirk:
Generalized Metric Repair on Graphs. - Lorenzo Angori, Walter Didimo, Fabrizio Montecchiani, Daniele Pagliuca, Alessandra Tappini:
ChordLink: A New Hybrid Visualization Model. - Jindong Gu, Volker Tresp:
Saliency Methods for Explaining Adversarial Attacks. - Tingting Cai, Yangming Zhou, Zhiyuan Ma, Hong Zheng, Lingfei Zhang, Ping He, Ju Gao:
Active Learning for Chinese Word Segmentation in Medical Text. - Marcell Nagy, Roland Molontay:
On the Structural Properties of Social Networks and their Measurement-calibrated Synthetic Counterparts. - Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji:
Scoot: A Perceptual Metric for Facial Sketches. - Alexandru Chirvasitu, Thomas W. Cusick:
Affine equivalence for quadratic rotation symmetric Boolean functions. - Mantas Lukosevicius, Arnas Uselis:
Efficient Cross-Validation of Echo State Networks. - Swathi M. Mula, Gerardo Veltri:
A new measure of modularity density for community detection. - Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown:
Noise Flow: Noise Modeling with Conditional Normalizing Flows. - Hyunsik Jeon, Bonhun Koo, U Kang:
Data Context Adaptation for Accurate Recommendation with Additional Information. - Mukund Sundararajan, Amir Najmi:
The many Shapley values for model explanation. - Roland Molontay, Marcell Nagy:
Two Decades of Network Science as seen through the co-authorship network of network scientists. - Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin:
Iterative Hard Thresholding for Low CP-rank Tensor Models. - V. Ya. Vilisov, B. Yu. Murashkin, A. I. Kulikov:
Simulation Model of Two-Robot Cooperation in Common Operating Environment. - Mohsen Mesgar, Sebastian Bücker, Iryna Gurevych:
A Neural Model for Dialogue Coherence Assessment. - Leobardo Emmanuel Campos-Macias, David Gómez-Gutiérrez, Rodrigo Aldana-López, Rafael de la Guardia, José I. Parra-Vilchis:
A Hybrid Method for Online Trajectory Planning of Mobile Robots in Cluttered Environments. - Jonatas B. C. Chagas, Túlio A. M. Toffolo, Marcone J. F. Souza, Manuel Iori:
The double traveling salesman problem with partial last-in-first-out loading constraints. - Yuyang Gao, Lingfei Wu, Houman Homayoun, Liang Zhao:
DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums. - Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, Dima Damen:
EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition. - Sara Rouhani, Ralph Deters:
Blockchain based access control systems: State of the art and challenges. - Emin Zerman, Aakanksha Rana, Aljosa Smolic:
ColorNet - Estimating Colorfulness in Natural Images. - Zhan Xu, Yang Zhou, Evangelos Kalogerakis, Karan Singh:
Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets. - Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen:
Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning. - Davide Taibi, Kari Systä:
A Decomposition and Metric-Based Evaluation Framework for Microservices. - Zhiqiang Shen, Zhankui He, Wanyun Cui, Jiahui Yu, Yutong Zheng, Chenchen Zhu, Marios Savvides:
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement. - Yufei Ye, Maneesh Singh, Abhinav Gupta, Shubham Tulsiani:
Compositional Video Prediction. - Nathan Kallus, Masatoshi Uehara:
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes. - Tanmay Gupta, Alexander G. Schwing, Derek Hoiem:
ViCo: Word Embeddings from Visual Co-occurrences. - Rudolf Rosa, Zdenek Zabokrtský:
Unsupervised Lemmatization as Embeddings-Based Word Clustering. - Jyoti Aneja, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing:
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning. - Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai:
VL-BERT: Pre-training of Generic Visual-Linguistic Representations. - Nate Phillips, Kristen Massey, Mohammed Safayet Arefin, J. Edward Swan II:
Design, Assembly, Calibration, and Measurement of an Augmented Reality Haploscope. - Yang Tao, Christos Ktistis, Yifei Zhao, Wuliang Yin, Anthony J. Peyton:
A Class D Power Amplifier for Multi-Frequency Eddy Current Testing Based on Multi-Simultaneous-Frequency Selective Harmonic Elimination Pulse Width Modulation. - Najib Ishaq, George Student, Noah M. Daniels:
Clustered Hierarchical Entropy-Scaling Search of Astronomical and Biological Data. - Justin A. Reyes, Eduardo R. Mucciolo, Dan C. Marinescu:
Simulation of Quantum Many-Body Systems on Amazon Cloud. - Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia:
Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics. - Saurav Manchanda, Mohit Sharma, George Karypis:
Intent term selection and refinement in e-commerce queries. - Yacine Jernite:
Unsupervised Text Summarization via Mixed Model Back-Translation. - Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee:
From Community to Role-based Graph Embeddings. - Anil Kag, Ziming Zhang, Venkatesh Saligrama:
RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? - Yu Ye, Ming Xiao, Mikael Skoglund:
Mobility-aware Content Preference Learning in Decentralized Caching Networks. - Tao Li, Quanyan Zhu:
On Convergence Rate of Adaptive Multiscale Value Function Approximation For Reinforcement Learning. - Carsten Eickhoff, Floran Gmehlin, Anu V. Patel, Jocelyn Boullier, Hamish Fraser:
DC3 - A Diagnostic Case Challenge Collection for Clinical Decision Support. - Beinan Wang, John Glossner, Daniel Iancu, Georgi Nedeltchev Gaydadjiev:
Feedbackward Decoding for Semantic Segmentation. - Reuben Tan, Mariya I. Vasileva, Kate Saenko, Bryan A. Plummer:
Learning Similarity Conditions Without Explicit Supervision. - Salvatore Di Girolamo, Konstantin Taranov, Andreas Kurth, Michael Schaffner, Timo Schneider, Jakub Beránek, Maciej Besta, Luca Benini, Duncan Roweth, Torsten Hoefler:
Network-Accelerated Non-Contiguous Memory Transfers. - Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky:
Revealing the Dark Secrets of BERT. - Matthias von Davier:
Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI's gpt2 Transformer Model. - Danielle Bragg, Oscar Koller, Mary Bellard, Larwan Berke, Patrick Boudreault, Annelies Braffort, Naomi Caselli, Matt Huenerfauth, Hernisa Kacorri, Tessa Verhoef, Christian Vogler, Meredith Ringel Morris:
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective. - Caio Waisman, Harikesh S. Nair, Carlos Carrion, Nan Xu:
Online Inference for Advertising Auctions. - Dinh-Cuong Hoang, Todor Stoyanov, Achim J. Lilienthal:
Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots. - Purathani Praitheeshan, Lei Pan, Jiangshan Yu, Joseph K. Liu, Robin Doss:
Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey. - Kai Middlebrook, Kian Sheik:
Song Hit Prediction: Predicting Billboard Hits Using Spotify Data. - Muhammad Maaz:
Viability of machine learning to reduce workload in systematic review screenings in the health sciences: a working paper. - Daniel T. Chang:
Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs. - Zhipeng Gao, Vinoj Jayasundara, Lingxiao Jiang, Xin Xia, David Lo, John C. Grundy:
SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding. - Seyedahmad Mousavi, Zheming Gao, Lanshan Han, Alvin Lim:
Quadratic Surface Support Vector Machine with L1 Norm Regularization. - Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song:
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms. - Nagendra Kumar, Gopi Ande, Jessu Shirish Kumar, Manish Singh:
Toward Maximizing the Visibility of Content in Social Media Brand Pages: A Temporal Analysis. - Hieu Le, Dimitris Samaras:
Shadow Removal via Shadow Image Decomposition. - Kirstin Peters:
Comparing Process Calculi Using Encodings. 19-38 - Frank Valencia:
Semantic Structures for Spatially-Distributed Multi-Agent Systems. 39-53 - Rob van Glabbeek:
On the Meaning of Transition System Specifications. 69-85 - Daniele Gorla, Ivano Salvo, Adolfo Piperno:
Conflict vs Causality in Event Structures. 86-101 - Tobias Prehn, Myron Rotter:
Immediate Observation in Mediated Population Protocols. 102-113 - Giselle Reis, Haniel Barbosa:
Proceedings Sixth Workshop on Proof eXchange for Theorem Proving, PxTP 2019, Natal, Brazil, August 26, 2019. EPTCS 301, 2019 [contents] - Matt Cooper, Jun Ki Lee, Jacob Beck, Joshua D. Fishman, Michael Gillett, Zoë Papakipos, Aaron Zhang, Jerome Ramos, Aansh Shah, Michael L. Littman:
Stackelberg Punishment and Bully-Proofing Autonomous Vehicles. - Artemy Kolchinsky:
A novel approach to multivariate redundancy and synergy. - Joseph D. Greer, Laura H. Blumenschein, Ron Alterovitz, Elliot W. Hawkes, Allison M. Okamura:
Robust Navigation of a Soft Growing Robot by Exploiting Contact with the Environment. - Euclides C. Pinto Neto, Derick Moreira Baum, Jorge Rady de Almeida Júnior, João Battista Camargo Junior, Paulo Sérgio Cugnasca:
Trajectory-Based Urban Air Mobility (UAM) Operations Simulator (TUS). - Abhay Kumar, Nishant Jain, Suraj Tripathi, Chirag Singh, Kamal Krishna:
MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation. - Weilong Ren, Xiang Lian, Kambiz Ghazinour:
Efficient Join Processing Over Incomplete Data Streams (Technical Report). - Alexander Ororbia:
Spiking Neural Predictive Coding for Continual Learning from Data Streams. - Stephan Sloth Lorenzen, Ninh Pham:
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search. - Patrick Varin, Lev Grossman, Scott Kuindersma:
A Comparison of Action Spaces for Learning Manipulation Tasks. - Makoto Araya, Masaaki Harada:
On the minimum weights of ternary linear complementary dual codes. - Masaaki Harada, Ken Saito:
Remark on subcodes of linear complementary dual codes. - Fernando Guevara Vasquez, China Mauck:
Periodic particle arrangements using standing acoustic waves. - Daniel Drzisga, Ulrich Rüde, Barbara I. Wohlmuth:
Stencil scaling for vector-valued PDEs with applications to generalized Newtonian fluids. - Xiangjun Quan, Qinran Hu, Xiaobo Dou, Zaijun Wu:
A Novel Synchronous Reference Frame Frequency-Locked Loop. - Zhepei Wei, Yantao Jia, Yuan Tian, Mohammad Javad Hosseini, Mark Steedman, Yi Chang:
Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model. - Debabrata Paul, Bidyut Baran Chaudhuri:
A BLSTM Network for Printed Bengali OCR System with High Accuracy. - Alexander Poddey, Nik Scharmann:
On the importance of system-view centric validation for the design and operation of a crypto-based digital economy. - Leyang Cui, Yue Zhang:
Hierarchically-Refined Label Attention Network for Sequence Labeling. - Diganta Misra:
Mish: A Self Regularized Non-Monotonic Neural Activation Function. - Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre:
Runtime Analysis of Fitness-Proportionate Selection on Linear Functions. - Yoshifumi Seki, Mitsuo Yoshida:
Analysis of User Dwell Time by Category in News Application. - Shao-Heng Ko, Ying-Chun Lin, Hsu-Chao Lai, Wang-Chien Lee, De-Nian Yang:
On VR Spatial Query for Dual Entangled Worlds. - Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang, Liang Lin:
Crowd Counting with Deep Structured Scale Integration Network. - Changqing Ye, Junzhi Cui:
The Convergence Rate of MsFEM for Various Boundary Problems. - Shunkai Li, Fei Xue, Xin Wang, Zike Yan, Hongbin Zha:
Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry. - Stepan Komkov, Aleksandr Petiushko:
AdvHat: Real-world adversarial attack on ArcFace Face ID system. - Reto Achermann, Nora Hossle, Lukas Humbel, Daniel David Schwyn, David A. Cock, Timothy Roscoe:
A Least-Privilege Memory Protection Model for Modern Hardware. - Patrizio Angelini, Henry Förster, Michael Hoffmann, Michael Kaufmann, Stephen G. Kobourov, Giuseppe Liotta, Maurizio Patrignani:
The QuaSEFE Problem. - Luc Giffon, Valentin Emiya, Liva Ralaivola, Hachem Kadri:
QuicK-means: Acceleration of K-means by learning a fast transform. - Yuming Wang, Yanbo Long, Lai Tu, Ling Liu:
Delivering Scientific Influence Analysis as a Service on Research Grants Repository. - Mahault Garnerin, Solange Rossato, Laurent Besacier:
Gender Representation in French Broadcast Corpora and Its Impact on ASR Performance. - Seoung Wug Oh, Sungho Lee, Joon-Young Lee, Seon Joo Kim:
Onion-Peel Networks for Deep Video Completion. - Hendrik Ranocha, Katharina Ostaszewski, Philip Heinisch:
Discrete Vector Calculus and Helmholtz Hodge Decomposition for Classical Finite Difference Summation by Parts Operators. - Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang:
Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems. - Diego Arenas, Jon Atkins, Clare Austin, David Beavan, Alvaro Cabrejas Egea, Stephen Carlysle-Davies, Ian Carter, Rob Clarke, James Cunningham, Tom Doel, Oliver Forrest, Evelina Gabasova, James Geddes, James Hetherington, Radka Jersakova, Franz J. Király, Catherine Lawrence, Jules Manser, Martin T. O'Reilly, James Robinson, Helen Sherwood-Taylor, Serena Tierney, Catalina A. Vallejos, Sebastian J. Vollmer, Kirstie J. Whitaker:
Design choices for productive, secure, data-intensive research at scale in the cloud. - Maximilian Felde, Gerd Stumme:
Interactive Collaborative Exploration using Incomplete Contexts. - Christof Fetzer:
Building Critical Applications using Microservices. - Deepak Mishra, Erik G. Larsson:
Multi-Tag Backscattering to MIMO Reader: Channel Estimation and Throughput Fairness. - Juan José Prieto-Gutierrez:
Ten years of research on ResearchGate, a scoping review using Google Scholar 2008_2017. - John Chen, Benjamin Coleman, Anshumali Shrivastava:
Revisiting Consistent Hashing with Bounded Loads. - Yechong Huang, Tao Song, Jieru Zhu, Wenqi Luo, Jiahang Xu, Xiahai Zhuang:
Mutual information neural estimation in CNN-based end-to-end medical image registration. - Kawisorn Kamtue, Kasina Euchukanonchai, Dittaya Wanvarie, Naruemon Pratanwanich:
Lukthung Classification Using Neural Networks on Lyrics and Audios. - Syeda Sakira Hassan, Heikki Huttunen, Jari Niemi, Jussi Tohka:
Bayesian Receiver Operating Characteristic Metric for Linear Classifiers. - Jayesh Badwaik, Adrian Montgomery Ruf:
Convergence rates of monotone schemes for conservation laws with discontinuous flux. - Víctor Gallego, Roi Naveiro, David Ríos Insua, David Gómez-Ullate:
Opponent Aware Reinforcement Learning. - Yikun Ban, Yuchen Zhou, Jingrui He, Xu Cheng, Jiangfang Yi:
Coalesced TLB to Exploit Diverse Contiguity of Memory Mapping. - Shantanu Mandal, Todd A. Anderson, Mejbah Alam, Justin Gottschlich, Abdullah Muzahid:
NetSyn: Neural Evolutionary Technique to Synthesize Programs. - Bruce J. MacLennan, Allen C. McBride:
Swarm Intelligence for Morphogenetic Engineering. - Ningyu Zhang, Zhanlin Sun, Shumin Deng, Jiaoyan Chen, Huajun Chen:
Improving Few-shot Text Classification via Pretrained Language Representations. - Chaoping Xing, Chen Yuan:
Beating the probabilistic lower bound on perfect hashing. - Chao Yu, Jiming Liu, Shamim Nemati:
Reinforcement Learning in Healthcare: A Survey. - Jannik Fischbach, Maximilian Junker, Andreas Vogelsang, Dietmar Freudenstein:
Automated Generation of Test Models from Semi-Structured Requirements. - Weichen Dai, Yu Zhang, Donglei Sun, Naira Hovakimyan, Ping Li:
Multi-Spectral Visual Odometry without Explicit Stereo Matching. - Daniel Lehmann:
Revealed Preferences for Matching with Contracts. - Richard Csaky:
Deep Learning Based Chatbot Models. - Bingli Jiao, Dongsheng Zheng, Mingxi Yin, Yuli Yang:
Beyond the Channel Capacity of BPSK Input. - Xin Yang, Haiyang Mei, Jiqing Zhang, Ke Xu, Baocai Yin, Qiang Zhang, Xiaopeng Wei:
DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors. - Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor:
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity. - Runnan Chen, Yuexin Ma, Nenglun Chen, Daniel Lee, Wenping Wang:
Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting. - Mengnan Du, Fan Yang, Na Zou, Xia Hu:
Fairness in Deep Learning: A Computational Perspective. - Gökhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann:
Generating High-Resolution Fashion Model Images Wearing Custom Outfits. - Yuxing Xie, Jiaojiao Tian, Xiao Xiang Zhu:
A Review of Point Cloud Semantic Segmentation. - Francesco Cursi, Guang-Zhong Yang:
A Robust Regression Approach for Robot Model Learning. - Oswin Aichholzer, Linda Kleist, Boris Klemz, Felix Schröder, Birgit Vogtenhuber:
On the edge-vertex ratio of maximal thrackles. - Andrea Zugarini, Stefano Melacci, Marco Maggini:
Neural Poetry: Learning to Generate Poems using Syllables. - Ajay Bhardwaj, Samar Agnihotri:
Multiple D2D Multicasts in Underlay Cellular Networks. - Yoshio Okamoto, Alexander Ravsky, Alexander Wolff:
Variants of the Segment Number of a Graph. - Roman Kovalchukov, Dmitri Moltchanov, Yuliya Gaidamaka, Ekaterina V. Bobrikova:
An Accurate Approximation of Resource Request Distributions in Millimeter Wave 3GPP New Radio Systems. - Lorenzo Najt, Daryl R. DeFord, Justin Solomon:
Complexity and Geometry of Sampling Connected Graph Partitions. - Ignaz Rutter, Darren Strash, Peter Stumpf, Michael Vollmer:
Simultaneous Representation of Proper and Unit Interval Graphs. - Timo Hinzmann, Cesar Cadena, Juan I. Nieto, Roland Siegwart:
Flexible Trinocular: Non-rigid Multi-Camera-IMU Dense Reconstruction for UAV Navigation and Mapping. - Ghulam Jilani Quadri, Paul Rosen:
You Can't Publish Replication Studies (and How to Anyways). - Raphael Kruse, Nick Polydorides, Yue Wu:
Application of Randomized Quadrature Formulas to the Finite Element Method for Elliptic Equations. - Matthias Hummel, Fabian Klute, Soeren Nickel, Martin Nöllenburg:
Maximizing Ink in Partial Edge Drawings of k-plane Graphs. - Dong Liu, Nima N. Moghadam, Lars K. Rasmussen, Jinliang Huang, Saikat Chatterjee:
α Belief Propagation as Fully Factorized Approximation. - Manh Huynh, Gita Alaghband:
Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM. - Sujoy Bhore, Robert Ganian, Fabrizio Montecchiani, Martin Nöllenburg:
Parameterized Algorithms for Book Embedding Problems. - Matthew Kowal, Gillian Sandison, Len Yabuki-Soh, Raner la Bastide:
Region Tracking in an Image Sequence: Preventing Driver Inattention. - Dong Cao, Lisha Xu:
Cross-Enhancement Transform Two-Stream 3D ConvNets for Pedestrian Action Recognition of Autonomous Vehicles. - Sandro Skansi, Leo Mrsic, Ines Skelac:
A Lost Croatian Cybernetic Machine Translation Program. - Jose Lamarca, Shaifali Parashar, Adrien Bartoli, J. M. M. Montiel:
DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences. - Vandad Davoodnia, Saeed Ghorbani, Ali Etemad:
In-bed Pressure-based Pose Estimation using Image Space Representation Learning. - Aniruddh Mohan, Shashank Sripad, Parth Vaishnav, Venkatasubramanian Viswanathan:
Automation is no barrier to light vehicle electrification. - Edgar Ramos, Roberto Morabito:
Intelligence Stratum for IoT. Architecture Requirements and Functions. - Edgar Ramos, Roberto Morabito, Jani-Pekka Kainulainen:
Distributing Intelligence to the Edge and Beyond. - Klaus M. Frahm, Dima L. Shepelyansky:
Linear response theory for Google matrix. - Bichen Wu:
Efficient Deep Neural Networks. - Leonid Bedratyuk:
2D moment invariants from the point of view of the classical invariant theory. - Frederico Belmonte Klein, Angelo Cangelosi:
Human activity recognition from skeleton poses. - Marakkalage Sumudu Hasala, Ran Liu, Sanjana Kadaba Viswanath, Chau Yuen:
Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study. - Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim:
Sparse Generative Adversarial Network. - Claudio S. Pinhanez:
Machine Teaching by Domain Experts: Towards More Humane, Inclusive, and Intelligent Machine Learning Systems. - Yawei Li, Shuhang Gu, Luc Van Gool, Radu Timofte:
Learning Filter Basis for Convolutional Neural Network Compression. - Daisuke Moriwaki, Komei Fujita, Shota Yasui, Takahiro Hoshino:
A Contextual Bandit Algorithm for Ad Creative under Ad Fatigue. - Stephan Lorenzen, Niklas Hjuler, Stephen Alstrup:
Tracking Behavioral Patterns among Students in an Online Educational System. - Philipp de Col, Fabian Klute, Martin Nöllenburg:
Mixed Linear Layouts: Complexity, Heuristics, and Experiments. - Meredith Ringel Morris:
AI and Accessibility: A Discussion of Ethical Considerations. - Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Neural Text Summarization: A Critical Evaluation. - Max Tegmark, Tailin Wu:
Pareto-optimal data compression for binary classification tasks. - Iulia Turc, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation. - Hilaria Cruz, Joseph Waring:
Deploying Technology to Save Endangered Languages. - Juan Maroñas, Roberto Paredes, Daniel Ramos:
Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks. - Mimansa Jaiswal, Zakaria Aldeneh, Emily Mower Provost:
Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning. - Thomas Führer:
Ultraweak formulation of linear PDEs in nondivergence form and DPG approximation. - Ilyes Naidji, Moncef Ben Smida, Mohamed Khalgui, Abdelmalik Bachir:
Non Cooperative Game Theoretic Approach for Residential Energy Management in Smart Grid. - Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime G. Carbonell:
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers. - Venkatesh Umaashankar, Girish Shanmugam S, Aditi Prakash:
Atlas: A Dataset and Benchmark for E-commerce Clothing Product Categorization. - Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua:
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media. - Elad Hoffer, Berry Weinstein, Itay Hubara, Tal Ben-Nun, Torsten Hoefler, Daniel Soudry:
Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency. - Qun Liu, Edward Collier, Supratik Mukhopadhyay:
PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters. - Xiang Li, Shihao Ji:
Neural Image Compression and Explanation. - Maren Awiszus, Hanno Ackermann, Bodo Rosenhahn:
Learning Disentangled Representations via Independent Subspaces. - Sebastian Agethen, Winston H. Hsu:
Deep Multi-Kernel Convolutional LSTM Networks and an Attention-Based Mechanism for Videos. - Anjana Wijekoon, Nirmalie Wiratunga, Kay Cooper:
MEx: Multi-modal Exercises Dataset for Human Activity Recognition. - Leopold Grinberg, John J. Hopfield, Dmitry Krotov:
Local Unsupervised Learning for Image Analysis. - Alexander Filonenko, Konstantin Gudkov, Aleksei Lebedev, Nikita Orlov, Ivan Zagaynov:
FaSTExt: Fast and Small Text Extractor. - Hongxin Lin, Zelin Xiao, Yang Tan, Hongyang Chao, Shengyong Ding:
Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables. - Thomas Hartley, Kirill A. Sidorov, Christopher Willis, A. David Marshall:
Gradient Weighted Superpixels for Interpretability in CNNs. - Wanling Gao, Fei Tang, Lei Wang, Jianfeng Zhan, Chunxin Lan, Chunjie Luo, Yunyou Huang, Chen Zheng, Jiahui Dai, Zheng Cao, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Tong Wu, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye:
AIBench: An Industry Standard Internet Service AI Benchmark Suite. - Tomás Jenícek, Ondrej Chum:
No Fear of the Dark: Image Retrieval under Varying Illumination Conditions. - Uziel Jaramillo-Avila, Sean R. Anderson:
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks. - Eduard Ramon, Guillermo Ruiz, Thomas Batard, Xavier Giró-i-Nieto:
Hyperparameter-Free Losses for Model-Based Monocular Reconstruction. - Chris Xiaoxuan Lu, Xuan Kan, Bowen Du, Changhao Chen, Hongkai Wen, Andrew Markham, Niki Trigoni, John A. Stankovic:
Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues. - S. Mohan Sai, G. Gopichand, C. Vikas Reddy, K. Mona Teja:
High Accurate Unhealthy Leaf Detection. - Anna Klikunova, Alexander V. Khoperskov:
Creation of digital elevation models for river floodplains. - Jeffrey Liu, David Strohschein, Siddharth Samsi, Andrew J. Weinert:
Large Scale Organization and Inference of an Imagery Dataset for Public Safety. - Walid Elhedda, Maroua Mehri, Mohamed Ali Mahjoub:
A Comparative Study of Filtering Approaches Applied to Color Archival Document Images. - Apratim Bhattacharyya, Michael Hanselmann, Mario Fritz, Bernt Schiele, Christoph-Nikolas Straehle:
Conditional Flow Variational Autoencoders for Structured Sequence Prediction. - Gideon Gbenga Oladipupo:
Development of a Robotic System for Automatic Wheel Removal and Fitting. - Hien Thi Thu Truong, Miguel Almeida, Ghassan Karame, Claudio Soriente:
Towards Secure and Decentralized Sharing of IoT Data. - Sizhong Lan:
The Path to Nash Equilibrium. - Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg, Emiel Krahmer:
Neural data-to-text generation: A comparison between pipeline and end-to-end architectures. - Jiachen Li, Wei Zhan, Yeping Hu, Masayoshi Tomizuka:
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving. - Vipin Singh Sehrawat, Yvo Desmedt:
Bi-Homomorphic Lattice-Based PRFs and Unidirectional Updatable Encryption. - Christopher Jung, Sampath Kannan, Neil Lutz:
A Center in Your Neighborhood: Fairness in Facility Location. - (Withdrawn) Semantically Intelligent Distributed Leader Election (SIDLE) Algorithm for WSAN Part of IoT Systems.
- Rohit Singh, Douglas C. Sicker:
Parameter Modeling for Small-Scale Mobility in Indoor THz Communication. - Liqun Shao, Yiwen Zhu, Abhiram Eswaran, Kristin Lieber, Janhavi Suresh Mahajan, Minsoo Thigpen, Sudhir Darbha, Siqi Liu, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos:
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. - Manh Hong Duong, Bangti Jin:
Wasserstein Gradient Flow Formulation of the Time-Fractional Fokker-Planck Equation. - Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne:
Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges. - Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Joelle Zimmermann, Vijay Badrinarayanan, Andrew Rabinovich:
EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding. - Morteza Banagar, Harpreet S. Dhillon:
Fundamentals of Drone Cellular Network Analysis under Random Waypoint Mobility Model. - Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng:
Robust Regression via Deep Negative Correlation Learning. - Alex Horn, Ali Kheradmand, Mukul R. Prasad:
A Precise and Expressive Lattice-theoretical Framework for Efficient Network Verification. - Max Noormohammadpour, Ajitesh Srivastava, Cauligi S. Raghavendra:
Optimizing Inter-Datacenter Tail Flow Completion Times using Best Worst-case Routing. - Zhaobing Kang, Wei Zou, Zheng Zhu:
Camera Pose Correction in SLAM Based on Bias Values of Map Points. - William B. Shen, Danfei Xu, Yuke Zhu, Leonidas J. Guibas, Li Fei-Fei, Silvio Savarese:
Situational Fusion of Visual Representation for Visual Navigation. - Joya Chen, Dong Liu, Bin Luo, Xuezheng Peng, Tong Xu, Enhong Chen:
Residual Objectness for Imbalance Reduction. - MohammadReza Besharati, Mohammad Izadi:
DAST Model: Deciding About Semantic Complexity of a Text. - Felix G. Hamza-Lup:
Kinesthetic Learning - Haptic User Interfaces for Gyroscopic Precession Simulation. - Sudipta Kar, Gustavo Aguilar, Thamar Solorio:
Multi-view Characterization of Stories from Narratives and Reviews using Multi-label Ranking. - Amar A. Rasheed, Rabi N. Mahapatra, Felix G. Hamza-Lup:
Adaptive Group-based Zero Knowledge Proof-Authentication Protocol (AGZKP-AP) in Vehicular Ad Hoc Networks. - Yan Huang, Qiang Wu, Jingsong Xu, Yi Zhong:
SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification. - Yu Zhang, Hai Bi, Yidu Yang:
Lower bounds for eigenvalues of the Steklov eigenvalue problem with variable coefficients. - Paul Nicolae Borza, Mihai Machedon-Pisu, Felix G. Hamza-Lup:
Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity. - Yu Zhang, Yiming Huo, Jinlong Zhan, Dongming Wang, Xiaodai Dong, Xiaohu You:
ADMM Enabled Hybrid Precoding in Wideband Distributed Phased Arrays Based MIMO Systems. - Mandar Joshi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer:
BERT for Coreference Resolution: Baselines and Analysis. - Dylan Slack, Sorelle A. Friedler, Emile Givental:
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data. - Shubhada Agrawal, Sandeep Juneja, Peter W. Glynn:
Optimal best arm selection for general distributions. - Toby Walsh:
Experiments in Social Media. - Di Qiu, Lok Ming Lui:
Inconsistent Surface Registration via Optimization of Mapping Distortions. - Xin Yang, Haiyang Mei, Ke Xu, Xiaopeng Wei, Baocai Yin, Rynson W. H. Lau:
Where Is My Mirror? - Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Improving Outfit Recommendation with Co-supervision of Fashion Generation. - Sagi Eppel, Alán Aspuru-Guzik:
Generator evaluator-selector net: a modular approach for panoptic segmentation. - Varun Pandya:
Automatic Text Summarization of Legal Cases: A Hybrid Approach. - Alberto Baccini, Lucio Barabesi, Mahdi Khelfaoui, Yves Gingras:
Intellectual and social similarity among scholarly journals: an exploratory comparison of the networks of editors, authors and co-citations. - Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su:
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification. - Pierre-Évariste Dagand, Lionel Rieg, Gabriel Scherer:
Dependent Pearl: Normalization by realizability. - Jintao Zhang:
SeesawFaceNets: sparse and robust face verification model for mobile platform. - Sara Giuliani, Zsuzsanna Lipták, Romeo Rizzi:
When a Dollar Makes a BWT. - Ehsan Montahaei, Danial Alihosseini, Mahdieh Soleymani Baghshah:
DGSAN: Discrete Generative Self-Adversarial Network. - Wei Wei, Zanbo Wang, Xianling Mao, Guangyou Zhou, Pan Zhou, Sheng Jiang:
Enhancing Neural Sequence Labeling with Position-Aware Self-Attention. - Hiroshi Fujiwara, Kamran Sadiq, Alexandru Tamasan:
Numerical reconstruction of radiative sources in an absorbing and non-diffusing scattering medium in two dimensions. - Kiyohito Nagano, Akihiro Kishimoto:
Subadditive Load Balancing. - Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung:
Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks. - Yuxian Meng, Xiaoya Li, Zijun Sun, Jiwei Li:
Query-Based Named Entity Recognition. - Jorge Cayama, Carlota M. Cuesta, Francisco de la Hoz:
A Pseudospectral Method for the One-Dimensional Fractional Laplacian on R. - Binjie Li, Tao Wang, Xiaoping Xie:
Analysis of the L1 scheme for fractional wave equations with nonsmooth data. - Vít Kalisz, Pavel Klavík, Peter Zeman:
Circle Graph Isomorphism in Almost Linear Time. - Jie Huang, Xin Liu, Yangqiu Song:
Hyper-Path-Based Representation Learning for Hyper-Networks. - Armineh Nourbakhsh, Grace Bang:
A framework for anomaly detection using language modeling, and its applications to finance. - Thomas Spilsbury, Paavo Camps:
Don't ignore Dropout in Fully Convolutional Networks. - Giorgos Tolias, Filip Radenovic, Ondrej Chum:
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower. - Matthew Lakier, Dimcho Karakashev, Yixin Wang, Ian Goldberg:
Augmented Unlocking Techniques for Smartphones Using Pre-Touch Information. - Emilio Benenati, Marcello Colombino, Emiliano Dall'Anese:
A tractable formulation for multi-period linearized optimal power flow in presence of thermostatically controlled loads. - Ahmad Y. Al-Dweik, Iqtadar Hussain, Moutaz Saleh Mustafa, Muhammad Tahir Mustafa:
A Novel Method to Generate Key-Dependent S-Boxes with Identical Algebraic Properties. - (Withdrawn) An Attack on the the Encryption Scheme of the Moscow Internet Voting System.
- Michael Everett, Justin Miller, Jonathan P. How:
Planning Beyond the Sensing Horizon Using a Learned Context. - (Withdrawn) Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study.
- Josiah I. Clark, Caroline A. Clark:
Deriving a Quantitative Relationship Between Resolution and Human Classification Error. - Hassam Ullah Sheikh, Ladislau Bölöni:
Universal Policies to Learn Them All. - Kartik Lakhotia, David Kempe:
Approximation Algorithms for Coordinating Ad Campaigns on Social Networks. - Sergey Prokudin, Christoph Lassner, Javier Romero:
Efficient Learning on Point Clouds with Basis Point Sets. - Binjie Li, Tao Wang, Xiaoping Xie:
Analysis of a time-stepping discontinuous Galerkin method for fractional diffusion-wave equation with nonsmooth data. - Irene Solaiman, Miles Brundage, Jack Clark, Amanda Askell, Ariel Herbert-Voss, Jeff Wu, Alec Radford, Jasmine Wang:
Release Strategies and the Social Impacts of Language Models. - David Korczynski:
Precise system-wide concatic malware unpacking. - Vladimir Menkov, Paul B. Kantor:
Ontology alignment: A Content-Based Bayesian Approach. - Snehil Verma, Qinzhe Wu, Bagus Hanindhito, Gunjan Jha, Eugene B. John, Ramesh Radhakrishnan, Lizy K. John:
Demystifying the MLPerf Benchmark Suite. - Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang:
Adversarial Domain Adaptation for Machine Reading Comprehension. - Nicholas Micallef, Nalin Asanka Gamagedara Arachchilage:
That's Not Me! Designing Fictitious Profiles to Answer Security Questions. - Roman V. Belavkin:
Relation between the Kantorovich-Wasserstein metric and the Kullback-Leibler divergence. - Alicja Gosiewska, Mateusz Bakala, Katarzyna Woznica, Maciej Zwolinski, Przemyslaw Biecek:
EPP: interpretable score of model predictive power. - Xuecheng Nie, Yuncheng Li, Linjie Luo, Ning Zhang, Jiashi Feng:
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos. - André T. Nguyen, Edward Raff:
Heterogeneous Relational Kernel Learning. - Xuecheng Nie, Jianfeng Zhang, Shuicheng Yan, Jiashi Feng:
Single-Stage Multi-Person Pose Machines. - Siyang Qin, Alessandro Bissacco, Michalis Raptis, Yasuhisa Fujii, Ying Xiao:
Towards Unconstrained End-to-End Text Spotting. - Francesco Schiliro:
Internet of Things Enabled Policing Processes. - Tushar Kusnur, Shohin Mukherjee, Dhruv Mauria Saxena, Tomoya Fukami, Takayuki Koyama, Oren Salzman, Maxim Likhachev:
A Planning Framework for Persistent, Multi-UAV Coverage with Global Deconfliction. - Weizhong Yan, Lijie Yu:
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach. - Lingling Zhu, Feng Shu, Tong Shen:
Two High-Performance Amplitude Beamforming Schemes for Secure Precise Communication and Jamming with Phase Alignment. - Rui Wang, Deyu Zhou, Yulan He:
Open Event Extraction from Online Text using a Generative Adversarial Network. - Sujay D. Kadam:
An I + PI Controller Structure for Integrating Processes with Dead-Time: Application to Depth Control of an Autonomous Underwater Vehicle. - Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun:
Multi-Channel Neural Network for Assessing Neonatal Pain from Videos. - Thomas Chang, Bahareh Tolooshams, Demba E. Ba:
RandNet: deep learning with compressed measurements of images. - Lucas Bechberger, Kai-Uwe Kühnberger:
Generalizing Psychological Similarity Spaces to Unseen Stimuli. - Samah Khawaled, Michael Zibulevsky, Yehoshua Y. Zeevi:
Texture and Structure Two-view Classification of Images. - Derek Kwaku Pobi Asiedu, Hoon Lee, Kyoung-Jae Lee:
Simultaneous Wireless Information and Power Transfer for Decode-and-Forward Multi-Hop Relay Systems in Energy-Constrained IoT Networks. - Joachim Neu, Muriel Médard:
Babel Storage: Uncoordinated Content Delivery from Multiple Coded Storage Systems. - Kang Min Yoo, Taeuk Kim, Sang-goo Lee:
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja. - Yong Hu, Heyan Huang, Tian Lan, Xiaochi Wei, Yuxiang Nie, Jiarui Qi, Liner Yang, Xianling Mao:
Multi-task Learning for Low-resource Second Language Acquisition Modeling. - Sam Whitlock, James R. Larus, Edouard Bugnion:
Extending TensorFlow's Semantics with Pipelined Execution. - Sun-Yu Gordon Chi:
Exploring the Performance of Deep Residual Networks in Crazyhouse Chess. - Projjal Gupta:
4-Bit High-Speed Binary Ling Adder. - Umut Özaydin, Theodoros Georgiou, Michael S. Lew:
A Comparison of CNN and Classic Features for Image Retrieval. - Stefka Dimova, Ivan Hristov, Radoslava Hristova, Igor V. Puzynin, Taisia P. Puzynina, Zarif Sharipov, Nikolay Shegunov, Zafar Tukhliev:
OpenMP parallelization of multiple precision Taylor series method. - Davide Ancona, Gordon Pace:
Proceedings of the Second Workshop on Verification of Objects at RunTime EXecution, VORTEX@ECOOP/ISSTA 2018, Amsterdam, Netherlands, 17th July 2018. EPTCS 302, 2019 [contents] - Iro Laina, Christian Rupprecht, Nassir Navab:
Towards Unsupervised Image Captioning with Shared Multimodal Embeddings. - Manuel Borrazzo, Giordano Da Lozzo, Giuseppe Di Battista, Fabrizio Frati, Maurizio Patrignani:
Graph Stories in Small Area. - Valentina Lenarduzzi, Vili Nikkola, Nyyti Saarimäki, Davide Taibi:
Does Code Quality Affect Pull Request Acceptance? An empirical study. - Rohit Konda, Aaron D. Ames, Samuel Coogan:
Characterizing Safety: Minimal Barrier Functions from Scalar Comparison Systems. - Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu:
Multilingual Neural Machine Translation with Language Clustering. - Édouard Bonnet, Yoichi Iwata, Bart M. P. Jansen, Lukasz Kowalik:
Fine-Grained Complexity of k-OPT in Bounded-Degree Graphs for Solving TSP. - Zhibo Wang, Siyan Zheng, Mengkai Song, Qian Wang, Alireza Rahimpour, Hairong Qi:
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns. - Xu Tan, Yingce Xia, Lijun Wu, Tao Qin:
Efficient Bidirectional Neural Machine Translation. - Aleksandar Janjic:
Proximity-based equivalence classes in fuzzy relational database model. - Binqi He, Suzhi Bi, Hong Xing, Xiaohui Lin:
Collaborative Computation Offloading in Wireless Powered Mobile-Edge Computing Systems. - Jian Han:
Learning adaptively from the unknown for few-example video person re-ID. - Artem Artemov, B. Alekseev:
A Method for Estimating the Proximity of Vector Representation Groups in Multidimensional Space. On the Example of the Paraphrase Task. - Zhuotao Liu, Yangxi Xiang, Jian Shi, Peng Gao, Haoyu Wang, Xusheng Xiao, Bihan Wen, Yih-Chun Hu:
HyperService: Interoperability and Programmability Across Heterogeneous Blockchains. - Bingcong Li, Lingda Wang, Georgios B. Giannakis:
Almost Tune-Free Variance Reduction. - (Withdrawn) Depth-AGMNet: an Atrous Granular Multiscale Stereo Network Based on Depth Edge Auxiliary Task.
- Joseph L. Gabbard, J. Edward Swan II, Adam Zarger:
Color Blending in Outdoor Optical See-through AR: The Effect of Real-world Backgrounds on User Interface Color. - Kun Cao, James Fairbanks:
Unsupervised Construction of Knowledge Graphs From Text and Code. - Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu:
Patient Knowledge Distillation for BERT Model Compression. - William F. Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta:
Dynamics-aware Embeddings. - Ziyu Liu, Guolin Ke, Jiang Bian, Tie-Yan Liu:
LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm. - Benjamin Paaßen:
Adversarial Edit Attacks for Tree Data. - Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran:
Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer. - Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar:
On Measuring and Mitigating Biased Inferences of Word Embeddings. - Tomaso A. Poggio, Andrzej Banburski, Qianli Liao:
Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization. - Ze Chen, Juan Zhang, Kenneth L. Ho, Haizhao Yang:
Multidimensional Phase Recovery and Interpolative Decomposition Butterfly Factorization. - John Iacono, Ben Karsin, Nodari Sitchinava:
A parallel priority queue with fast updates for GPU architectures. - Andreas Fischer, Bernhard Eidel:
Error Analysis for Quadtree-Type Mesh-Coarsening Algorithms Adapted to Pixelized Heterogeneous Microstructures. - Xudong Sun, Bernd Bischl:
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning. - Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka, Samuel Kaski:
Scalable Probabilistic Matrix Factorization with Graph-Based Priors. - Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Ming-Ting Sun, Bill Dolan:
Domain Adaptive Text Style Transfer. - Jeff Erickson:
Optimal Curve Straightening is ∃R-Complete. - Josef Danial, Debayan Das, Santosh Ghosh, Arijit Raychowdhury, Shreyas Sen:
SCNIFFER: Low-Cost, Automated, EfficientElectromagnetic Side-Channel Sniffing. - Junghoon Seo, Jamyoung Koo, Taegyun Jeon:
Deep Closed-Form Subspace Clustering. - Claude Gravel, Daniel Panario:
Squeezing a vectorial nonlinear binary transformation between two perpendicular matrices. - Hafeez Anwar, Saeed Anwar, Sebastian Zambanini, Fatih Porikli:
CoinNet: Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention. - Mahesh Narayanamurthi, Adrian Sandu:
Partitioned Exponential Methods for Coupled Multiphysics Systems. - Jane Carlen, Jaume de Dios Pont, Cassidy Mentus, Shyr-Shea Chang, Stephanie Wang, Mason A. Porter:
Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic Block Models. - Xin Li, Tianwei Lin, Xiao Liu, Chuang Gan, Wangmeng Zuo, Chao Li, Xiang Long, Dongliang He, Fu Li, Shilei Wen:
Deep Concept-wise Temporal Convolutional Networks for Action Localization. - Ye Huang, Qingqing Wang, Wenjing Jia, Xiangjian He:
See More Than Once - Kernel-Sharing Atrous Convolution for Semantic Segmentation. - Monowar Hasan, Sibin Mohan:
Protecting Actuators in Safety-Critical IoT Systems from Control Spoofing Attacks. - Zheng Zhu, Wei Zou, Guan Huang, Dalong Du, Chang Huang:
High Performance Visual Object Tracking with Unified Convolutional Networks. - Wayes Tushar, Tapan Kumar Saha, Chau Yuen, Thomas Morstyn, Nahid-Al-Masood, H. Vincent Poor, Richard Bean:
Grid Influenced Peer-to-Peer Energy Trading. - Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian J. McAuley, Garrison W. Cottrell:
Improving Neural Story Generation by Targeted Common Sense Grounding. - Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau, Vinícius Flores Zambaldi, Satyaki Upadhyay, Julien Pérolat, Sriram Srinivasan, Finbarr Timbers, Karl Tuyls, Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Paul Muller, Timo Ewalds, Ryan Faulkner, János Kramár, Bart De Vylder, Brennan Saeta, James Bradbury, David Ding, Sebastian Borgeaud, Matthew Lai, Julian Schrittwieser, Thomas W. Anthony, Edward Hughes, Ivo Danihelka, Jonah Ryan-Davis:
OpenSpiel: A Framework for Reinforcement Learning in Games. - Vishwas Sathish, Tanya Mehrotra, Simran Dhinwa, Bhaskarjyoti Das:
Graph Embedding Based Hybrid Social Recommendation System. - Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer:
Attentive History Selection for Conversational Question Answering. - Nan Li, Ilya V. Kolmanovsky, Anouck Girard:
A Reference Governor for Nonlinear Systems with Disturbance Inputs Based on Logarithmic Norms and Quadratic Programming. - Junbang Liang, Ming C. Lin:
Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images. - Yanbing Mao, Hamidreza Jafarnejadsani, Pan Zhao, Emrah Akyol, Naira Hovakimyan:
Novel Stealthy Attack and Defense Strategies for Networked Control Systems. - Yue Yu, Gianmarc Grazioli, Nolan E. Phillips, Carter T. Butts:
Local Graph Stability in Exponential Family Random Graph Models. - Yang Lou, Yaodong He, Lin Wang, Guanrong Chen:
Predicting Network Controllability Robustness: A Convolutional Neural Network Approach. - Yanbing Mao, Emrah Akyol:
On Inference of Network Topology and Confirmation Bias in Cyber-Social Networks. - Naoki Kitamura, Hirotaka Kitagawa, Yota Otachi, Taisuke Izumi:
Low-Congestion Shortcut and Graph Parameters. - Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid:
An Evaluation of Feature Matchers forFundamental Matrix Estimation. - Xiaoxue Chen, Tianwei Wang, Yuanzhi Zhu, Lianwen Jin, Canjie Luo:
Adaptive Embedding Gate for Attention-Based Scene Text Recognition. - Eunice Palmeira da Silva, Fred Freitas, Jens Otten:
Converting ALC Connection Proofs into ALC Sequents. 3-17 - Burak Ekici, Arjun Viswanathan, Yoni Zohar, Clark W. Barrett, Cesare Tinelli:
Verifying Bit-vector Invertibility Conditions in Coq (Extended Abstract). 18-26 - Mohamed Yacine El Haddad, Guillaume Burel, Frédéric Blanqui:
EKSTRAKTO A tool to reconstruct Dedukti proofs from TSTP files (extended abstract). 27-35 - Mathias Fleury, Hans-Jörg Schurr:
Reconstructing veriT Proofs in Isabelle/HOL. 36-50 - Fadil Kallat, Tristan Schäfer, Anna Vasileva:
CLS-SMT: Bringing Together Combinatory Logic Synthesis and Satisfiability Modulo Theories. 51-65 - Hsiao-Tzu Hung, Chung-Yang Wang, Yi-Hsuan Yang, Hsin-Min Wang:
Improving Automatic Jazz Melody Generation by Transfer Learning Techniques. - Jong Seon Kim, Jong Wook Kim, Yon Dohn Chung:
Successive Point-of-Interest Recommendation with Local Differential Privacy. - Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, Gang Yu:
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection. - Tobias Kuhn, Steven Bourke, Levin Brinkmann, Tobias Buchwald, Conor Digan, Hendrik Hache, Sebastian Jaeger, Patrick Lehmann, Oskar Maier, Stefan Matting, Yura Okulovsky:
Supporting stylists by recommending fashion style. - Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva, Alex Alvarado:
On Parameter Optimization of Product Codes for Iterative Bounded Distance Decoding with Scaled Reliability. - Hauke Petersen, Peter Kietzmann, Cenk Gündogan, Thomas C. Schmidt, Matthias Wählisch:
Bluetooth Mesh under the Microscope: How much ICN is Inside? - Motoya Ohnishi, Gennaro Notomista, Masashi Sugiyama, Magnus Egerstedt:
Constraint Learning for Control Tasks with Limited Duration Barrier Functions. - Lesly Miculicich, James Henderson:
Partially-supervised Mention Detection. - Jiajun Deng, Yingwei Pan, Ting Yao, Wengang Zhou, Houqiang Li, Tao Mei:
Relation Distillation Networks for Video Object Detection. - Yang Chen, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei:
Mocycle-GAN: Unpaired Video-to-Video Translation. - Zhixian Yang, Yuanning Gao, Xiaofeng Gao, Guihai Chen:
NETR-Tree: An Eifficient Framework for Social-Based Time-Aware Spatial Keyword Query. - Helisa Dhamo, Nassir Navab, Federico Tombari:
Object-Driven Multi-Layer Scene Decomposition From a Single Image. - Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke:
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. - Aakash K. T., Parikshit Sakurikar, Saurabh Saini, P. J. Narayanan:
A Flexible Neural Renderer for Material Visualization. - Alberto Poncelas, Gideon Maillette de Buy Wenniger, Andy Way:
Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation. - Canmiao Fu, Wenjie Pei, Qiong Cao, Chaopeng Zhang, Yong Zhao, Xiaoyong Shen, Yu-Wing Tai:
Non-local Recurrent Neural Memory for Supervised Sequence Modeling. - Junpeng Zhang, Xiuping Jia, Jiankun Hu:
Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos. - Yazan Abu Farha, Jürgen Gall:
Uncertainty-Aware Anticipation of Activities. - Juan José Prieto-Gutierrez, Francisco Segado-Boj:
Annals of Library and Information Studies. A bibliometric analysis of the journal and a comparison with the top library and information studies journals in Asia and worldwide (2011_2017). - Qing Lian, Fengmao Lv, Lixin Duan, Boqing Gong:
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach. - Jürgen F. H. Winkler:
Oprema - The Relay Computer of Carl Zeiss Jena. - Yiheng Zhang, Zhaofan Qiu, Jingen Liu, Ting Yao, Dong Liu, Tao Mei:
Customizable Architecture Search for Semantic Segmentation. - Prashant Agrawal, Kabir Tomer, Subodh Sharma, Subhashis Banerjee:
A universally verifiable, software independent, bare-handed voting protocol. - Qiang Tang:
Towards Blockchain-enabled Searchable Encryption. - Fatemeh Hadaeghi:
Neuromorphic Electronic Systems for Reservoir Computing. - Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu:
Embarrassingly Simple Binary Representation Learning. - Alexander Mey, Marco Loog:
Improvability Through Semi-Supervised Learning: A Survey of Theoretical Results. - Michael O'Sullivan, Leonardo Aniello, Vladimiro Sassone:
A Methodology to Select Topology Generators for WANET Simulations (Extended Version). - Gundram Leifert, Roger Labahn, Tobias Grüning, Svenja Leifert:
End-To-End Measure for Text Recognition. - Leonardo Aniello, Basel Halak, Peter Chai, Riddhi Dhall, Mircea Mihalea, Adrian Wilczynski:
Towards a Supply Chain Management System for Counterfeit Mitigation using Blockchain and PUF. - Édouard Bonnet, Diana-Elena Falamas, Rémi Watrigant:
Constraint Generation Algorithm for the Minimum Connectivity Inference Problem. - Reinald Kim Amplayo:
Rethinking Attribute Representation and Injection for Sentiment Classification. - Jieh-Sheng Lee, Jieh Hsiang:
Measuring Patent Claim Generation by Span Relevancy. - Erdal Arikan:
From sequential decoding to channel polarization and back again. - Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso:
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. - Hao Lan, Yin Tong, Jin Guo, Carla Seatzu:
Verification of Detectability Using Petri Nets and Detector. - Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
An Empirical Study of Domain Adaptation for Unsupervised Neural Machine Translation. - Grzegorz Kwasniewski, Marko Kabic, Maciej Besta, Joost VandeVondele, Raffaele Solcà, Torsten Hoefler:
Red-blue pebbling revisited: near optimal parallel matrix-matrix multiplication. - Jan Giesselmann, Fabian Meyer, Christian Rohde:
An a posteriori error analysis based on non-intrusive spectral projections for systems of random conservation laws. - Miguel Coviello Gonzalez, Marek Chrobak:
A Waste-Efficient Algorithm for Single-Droplet Sample Preparation on Microfluidic Chips. - Jake R. Hanson, Sara Imari Walker:
Integrated Information Theory and Isomorphic Feed-Forward Philosophical Zombies. - Chongjun Ouyang, Sheng Wu, Hongwen Yang:
Mutual Information Approximation. - Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh:
Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? - M. Malik, Martin Skote:
A linear system for pipe flow stability analysis allowing for boundary condition modifications. - Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Deep Sparse Band Selection for Hyperspectral Face Recognition. - Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan:
A Survey on Bias and Fairness in Machine Learning. - Evangelos Ververas, Stefanos Zafeiriou:
SliderGAN: Synthesizing Expressive Face Images by Sliding 3D Blendshape Parameters. - Darío Garigliotti:
Semi-supervised Learning for Word Sense Disambiguation. - David J. Galas:
The Group Theoretic Roots of Information I: permutations, symmetry, and entropy. - Enzhi Li:
A Fast Method to Calculate Hitting Time Distribution for a Random Walk on Connected Undirected Graph. - Philipp Meyer, Timo Häckel, Franz Korf, Thomas C. Schmidt:
DoS Protection through Credit Based Metering - Simulation Based Evaluation for Time-Sensitive Networking in Cars. - Nicolas Dupin, Frank Nielsen, El-Ghazali Talbi:
Planar p-center problems are solvable in polynomial time when clustering a Pareto Front. - Timo Häckel, Philipp Meyer, Franz Korf, Thomas C. Schmidt:
SDN4CoRE: A Simulation Model for Software-Defined Networking for Communication over Real-Time Ethernet. - Christopher G. Blake, Giuseppe Castiglione, Christopher Srinivasa, Marcus A. Brubaker:
Parity Partition Coding for Sharp Multi-Label Classification. - Thiago Zafalon Miranda, Diorge Brognara Sardinha, Ricardo Cerri:
Preventing the Generation of Inconsistent Sets of Classification Rules. - Andrés Occhipinti Liberman, Rasmus K. Rendsvig:
Dynamic Term-Modal Logic for Epistemic Social Network Dynamics (Extended Version). - Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji:
Low-Resource Name Tagging Learned with Weakly Labeled Data. - Gabriel Radanne, Peter Thiemann:
Kindly Bent to Free Us. - Arthur Bousquet, Yukun Li, Guanqian Wang:
Some algorithms for the mean curvature flow under topological changes. - Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kaiqiang Xu, Chao Li, Boyu Diao, Yongjun Xu:
Gated Convolutional Networks with Hybrid Connectivity for Image Classification. - Huan Zhao, Yingqi Zhou, Yangqiu Song, Dik Lun Lee:
Motif Enhanced Recommendation over Heterogeneous Information Network. - Alessandro Cennamo, Ido Freeman, Anton Kummert:
A Statistical Defense Approach for Detecting Adversarial Examples. - Thayne Walker:
Tech Report: Efficient and Exact Collision Detection for Circular Agents. - Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian:
Variational Graph Recurrent Neural Networks. - Adam Van Etten:
City-Scale Road Extraction from Satellite Imagery v2: Road Speeds and Travel Times. - Yingbo Gao, Weiyue Wang, Hermann Ney:
uniblock: Scoring and Filtering Corpus with Unicode Block Information. - Anna Aniol, Marcin Pietron:
Ensemble approach for natural language question answering problem. - Yicheng Cheng, Bartek Rajwa, Murat Dundar:
Bayesian Nonparametrics for Non-exhaustive Learning. - Víctor Gallego, David Ríos Insua:
Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs. - Zhong Ji, Xuejie Yu, Yunlong Yu, Yanwei Pang, Zhongfei Zhang:
A Semantics-Guided Class Imbalance Learning Model for Zero-Shot Classification. - Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey:
Hard-Mining Loss based Convolutional Neural Network for Face Recognition. - Ting Chen, Yizhou Sun:
Differentiable Product Quantization for End-to-End Embedding Compression. - Nicolas Harrand, Amine Benelallam, César Soto-Valero, Olivier Barais, Benoit Baudry:
Analyzing 2.3 Million Maven Dependencies to Reveal an Essential Core in APIs. - Wei-Ngan Chin, Ton Chanh Le, Shengchao Qin:
Automated Verification of CountDownLatch. - Shihao Ju, Ojas Kanhere, Yunchou Xing, Theodore S. Rappaport:
A Millimeter-Wave Channel Simulator NYUSIM with Spatial Consistency and Human Blockage. - Hong Thinh Pham, Ngoc Nam Pham, Huu-Thanh Nguyen, Alan Marshall, Truong Thu Huong:
A Hybrid of Adaptation and Dynamic Routing based on SDN for Improving QoE in HTTP Adaptive VBR Video Streaming. - Xinjie Lan, Kenneth E. Barner:
A Probabilistic Representation of Deep Learning. - Ojas Kanhere, Shihao Ju, Yunchou Xing, Theodore S. Rappaport:
Map-Assisted Millimeter Wave Localization for Accurate Position Location. - D. D. N. De Silva, H. W. M. K. Vithanage, K. S. D. Fernando, I. Thilini S. Piyatilake:
Multi-Path Learnable Wavelet Neural Network for Image Classification. - Nitesh Verma, Bryan Gomez-Vargas, Luis Miguel De Oliveira Vilaca, Sarvesh Kumar, Ricardo Ruiz-Baier:
Advection-diffusion-reaction in poroelastic media. Part I: Well-posedness and discrete analysis. - Yoan Dinkov, Ivan Koychev, Preslav Nakov:
Detecting Toxicity in News Articles: Application to Bulgarian. - Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia:
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises. - Han Cai, Chuang Gan, Song Han:
Once for All: Train One Network and Specialize it for Efficient Deployment. - Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi:
SPGNet: Semantic Prediction Guidance for Scene Parsing. - Hankz Hankui Zhuo, Jing Peng, Subbarao Kambhampati:
Learning Action Models from Disordered and Noisy Plan Traces. - Yang Liu, Kai Sun:
Differential Transformation of a Motor Load Model for Time-Domain Simulation. - Abram Rodgers, Daniele Venturi:
Stability analysis of hierarchical tensor methods for time-dependent PDEs. - Hongyu Li, Seohyun Kim, Satish Chandra:
Neural Code Search Evaluation Dataset. - Tal Schuster, Roei Schuster, Darsh J. Shah, Regina Barzilay:
Are We Safe Yet? The Limitations of Distributional Features for Fake News Detection. - Elaheh Fata, Will Ma, David Simchi-Levi:
Multi-stage and Multi-customer Assortment Optimization with Inventory Constraints. - Yanbing Mao, Emrah Akyol:
Competitive Information Spread with Confirmation Bias in Cyber-Social Networks. - Shouvik Roy, Usama Mehmood, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari:
Neural Flocking: MPC-based Supervised Learning of Flocking Controllers. - Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang:
Confidence Regularized Self-Training. - Maria A. Riolo, M. E. J. Newman:
Consistency of community structure in complex networks. - Eirik Keilegavlen, Runar Berge, Alessio Fumagalli, Michele Starnoni, Ivar Stefansson, Jhabriel Varela, Inga Berre:
PorePy: An Open-Source Software for Simulation of Multiphysics Processes in Fractured Porous Media. - Jacson Rodrigues Barbosa, Ricardo Marcondes Marcacini, Ricardo Britto, Frederico Soares, Solange Oliveira Rezende, Auri M. R. Vincenzi, Márcio E. Delamaro:
BULNER: BUg Localization with word embeddings and NEtwork Regularization. - Josselin Feist, Gustavo Grieco, Alex Groce:
Slither: A Static Analysis Framework For Smart Contracts. - Hrushikesh N. Mhaskar:
Dimension independent bounds for general shallow networks. - Kai Han, Andrea Vedaldi, Andrew Zisserman:
Learning to Discover Novel Visual Categories via Deep Transfer Clustering. - Jonathan Viquerat, Jean Rabault, Alexander Kuhnle, Hassan Ghraieb, Elie Hachem:
Direct shape optimization through deep reinforcement learning. - Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang:
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. - Shikib Mehri, Maxine Eskénazi:
Multi-Granularity Representations of Dialog. - Fidel A. Guerrero-Peña, Pedro D. Marrero-Fernández, Tsang Ing Ren, Alexandre Cunha:
A Weakly Supervised Method for Instance Segmentation of Biological Cells. - Geoff Bacon, Terry Regier:
Does BERT agree? Evaluating knowledge of structure dependence through agreement relations. - Gabriele Farina, Tommaso Bianchi, Tuomas Sandholm:
Coarse Correlation in Extensive-Form Games. - Alex R. Mathew:
Airport Cyber Security and Cyber Resilience Controls. - Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu:
Index Network. - Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua:
Multi-Channel Graph Neural Network for Entity Alignment. - Jérémy Charlier, Aman Singh, Gaston Ormazabal, Radu State, Henning Schulzrinne:
SynGAN: Towards Generating Synthetic Network Attacks using GANs. - Ohad Elishco, Alexander Barg:
Capacity of dynamical storage systems. - Elad Yom-Tov, Nir Levy, Amir Rubin:
Modeling infection methods of computer malware in the presence of vaccinations using epidemiological models: An analysis of real-world data. - Mario Blaum:
A Short Course on Error-Correcting Codes. - (Withdrawn) Subdivision of point-normal with application to smoothing feasible robot path.
- Sehun Chun, Julian Marcon, Joaquim Peiró, Spencer J. Sherwin:
High-order curvilinear mesh in the numerical solution of PDEs with moving frames on the sphere. - Erhan Sezerer, Ozan Polatbilek, Selma Tekir:
Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features. - Han Fu, Chenghao Liu, Jianling Sun:
Reference Network for Neural Machine Translation. - María Andrea Cruz Blandón, Gosse Minnema, Aria Nourbakhsh, Maria Boritchev, Maxime Amblard:
Toward Dialogue Modeling: A Semantic Annotation Scheme for Questions and Answers. - Rajat Kateja, Nathan Beckmann, Gregory R. Ganger:
Tvarak: Software-managed hardware offload for DAX NVM storage redundancy. - Nuno Marques, André Zúquete, João Paulo Barraca:
Integration of the Captive Portal paradigm with the 802.1X architecture. - Mansi Ranjit Mane, Stephen D. Guo, Kannan Achan:
Complementary-Similarity Learning using Quadruplet Network. - P. A. Suggate, R. W. Ward, Tim C. A. Molteno:
Cyclic Sequence Generators as Program Counters for High-Speed FPGA-based Processors. - Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao:
Multi-stage Deep Classifier Cascades for Open World Recognition. - Alem Fitwi, Yu Chen, Sencun Zhu:
No Peeking through My Windows: Conserving Privacy in Personal Drones. - Adrian de Wynter, Lambert Mathias:
Leveraging External Knowledge for Out-Of-Vocabulary Entity Labeling. - Jonathan Herzig, Jonathan Berant:
Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing. - Yan Yan, Yi Xu, Lijun Zhang, Xiaoyu Wang, Tianbao Yang:
Stochastic Optimization for Non-convex Inf-Projection Problems. - Adrian de Wynter:
On the Bounds of Function Approximations. - Furkan Kinli, Baris Özcan, Furkan Kiraç:
Fashion Image Retrieval with Capsule Networks. - Avgoustinos Vouros, Stephen Langdell, Mike Croucher, Eleni Vasilaki:
An empirical comparison between stochastic and deterministic centroid initialisation for K-Means variations. - Hossein Sadeghi, Evgeny Andriyash, Walter Vinci, Lorenzo Buffoni, Mohammad H. Amin:
PixelVAE++: Improved PixelVAE with Discrete Prior. - Patrick E. Farrell, Yunhui He, Scott P. MacLachlan:
A local Fourier analysis of additive Vanka relaxation for the Stokes equations. - Bilal Ghanem, Paolo Rosso, Francisco M. Rangel Pardo:
An Emotional Analysis of False Information in Social Media and News Articles. - Matthew A. Wright, Roberto Horowitz, Alex A. Kurzhanskiy:
Macroscopic Modeling, Calibration, and Simulation of Managed Lane-Freeway Networks, Part II: Network-scale Calibration and Case Studies. - Kien Do, Truyen Tran:
Theory and Evaluation Metrics for Learning Disentangled Representations. - Yijun Xiao, William Yang Wang:
Text Modeling with Syntax-Aware Variational Autoencoders. - Raef Bassily, Vitaly Feldman, Kunal Talwar, Abhradeep Thakurta:
Private Stochastic Convex Optimization with Optimal Rates. - An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley:
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. - Huanrui Yang, Wei Wen, Hai Li:
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures. - Eddie S. J. Du, Chang Liu, David H. Wayne:
Automated Fashion Size Normalization. - Genta Indra Winata, Andrea Madotto, Jamin Shin, Elham J. Barezi, Pascale Fung:
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression. - Elizabeth Stowell, Yixuan Zhang, Carmen Castaneda-Sceppa, Margie E. Lachman, Andrea G. Parker:
Caring for Alzheimer's Disease Caregivers: A Qualitative Study Investigating Opportunities for Exergame Innovation. - Yinwei Wei, Zhiyong Cheng, Xuzheng Yu, Zhou Zhao, Lei Zhu, Liqiang Nie:
Personalized Hashtag Recommendation for Micro-videos. - Xugong Qin, Yu Zhou, Dongbao Yang, Weiping Wang:
Curved Text Detection in Natural Scene Images with Semi- and Weakly-Supervised Learning. - Lorenzo Di Gregorio:
Handover Optimality in Heterogeneous Networks. - Sahan Bandara, Alan Ehret, Donato Kava, Michel A. Kinsy:
BRISC-V: An Open-Source Architecture Design Space Exploration Toolbox. - Jingran Zhang, Fumin Shen, Xing Xu, Heng Tao Shen:
Temporal Reasoning Graph for Activity Recognition. - Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib:
Distorted Representation Space Characterization Through Backpropagated Gradients. - Fu Xiong, Boshen Zhang, Yang Xiao, Zhiguo Cao, Taidong Yu, Joey Tianyi Zhou, Junsong Yuan:
A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image. - Bai Li, Nanyi Jiang, Joey Sham, Henry Shi, Hussein Fazal:
Real-world Conversational AI for Hotel Bookings. - Rahul Vaze, Sibi Raj B. Pillai:
Online Energy Harvesting Problem Over An Arbitrary Directed Acyclic Graph Network. - Jinho Choi, Jun-Bae Seo:
Evolutionary Game for Hybrid Uplink NOMA with Truncated Channel Inversion Power Control. - Peng Gao, Qiquan Zhang, Liyi Xiao, Yan Zhang, Fei Wang:
Learning Reinforced Attentional Representation for End-to-End Visual Tracking. - Zhencai Hu, Peng Gao, Fei Wang:
Research on Autonomous Maneuvering Decision of UCAV based on Approximate Dynamic Programming. - Yuanwei Wu, Ziming Zhang, Guanghui Wang:
Unsupervised Deep Feature Transfer for Low Resolution Image Classification. - Yu Gu, Yantong Wang, Tao Liu, Yusheng Ji, Zhi Liu, Peng Li, Xiaoyan Wang, Xin An, Fuji Ren:
EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data. - Hiroshi Haramoto, Makoto Matsumoto:
Again, random numbers fall mainly in the planes: xorshift128+ generators. - Dian Yu, Zhou Yu:
MIDAS: A Dialog Act Annotation Scheme for Open Domain Human Machine Spoken Conversations. - Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Dual Directed Capsule Network for Very Low Resolution Image Recognition. - Junsuk Choe, Hyunjung Shim:
Attention-based Dropout Layer for Weakly Supervised Object Localization. - Changtao Sheng, Jie Shen, Tao Tang, Li-Lian Wang, Huifang Yuan:
Fast Fourier-like Mapped Chebyshev Spectral-Galerkin Methods for PDEs with Integral Fractional Laplacian in Unbounded Domains. - Joseph M. Antognini:
Finite size corrections for neural network Gaussian processes. - Chithaj Mallikarjun, Niteesh S. Shanbog, Sangeeta Modi:
Comparative Analysis of Conventional and Modified H-Bridge Inverter Configuration. - Nisha Panwar, Shantanu Sharma, Guoxi Wang, Sharad Mehrotra, Nalini Venkatasubramanian, Mamadou H. Diallo, Ardalan Amiri Sani:
IoT Notary: Sensor Data Attestation in Smart Environment. - Sandeep Kumar:
Performance modeling of a distributed file-system. - Shengyu Zhu, Biao Chen, Zhitang Chen, Pengfei Yang:
Asymptotically Optimal One- and Two-Sample Testing with Kernels. - Frank S. de Boer, Elena Giachino, Stijn de Gouw, Reiner Hähnle, Einar Broch Johnsen, Cosimo Laneve, Ka I Pun, Gianluigi Zavattaro:
Analysis of SLA Compliance in the Cloud - An Automated, Model-based Approach. 1-15 - Eduardo Geraldo, João Costa Seco:
SNITCH: Dynamic Dependent Information Flow Analysis for Independent Java Bytecode. 16-31 - Wolfgang Ahrendt, Ludovic Henrio, Wytse Oortwijn:
Who is to Blame? Runtime Verification of Distributed Objects with Active Monitors. 32-46 - Dominique Machuletz, Rainer Böhme:
Multiple Purposes, Multiple Problems: A User Study of Consent Dialogs after GDPR. - Jianing Li, Jingdong Wang, Qi Tian, Wen Gao, Shiliang Zhang:
Global-Local Temporal Representations For Video Person Re-Identification. - Long H. Pham, Jun Sun, Quang Loc Le:
Compositional Verification of Heap-Manipulating Programs through Property-Guided Learning. - Yuki Okamoto, Keisuke Imoto, Tatsuya Komatsu, Shinnosuke Takamichi, Takumi Yagyu, Ryosuke Yamanishi, Yoichi Yamashita:
Overview of Tasks and Investigation of Subjective Evaluation Methods in Environmental Sound Synthesis and Conversion. - Nhan Thanh Nguyen, Kyungchun Lee:
Unequally Sub-connected Architecture for Hybrid Beamforming in Massive MIMO Systems. - Zhijun Mai, Guosheng Hu, Dexiong Chen, Fumin Shen, Heng Tao Shen:
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning. - Dogu Araci:
FinBERT: Financial Sentiment Analysis with Pre-trained Language Models. - Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Jingwen Wang, Wei Liu:
Controllable Video Captioning with POS Sequence Guidance Based on Gated Fusion Network. - Kinga Skorupska, Manuel Núñez, Wieslaw Kopec, Radoslaw Nielek:
A Comparative Study of Younger and Older Adults' Interaction with a Crowdsourcing Android TV App for Detecting Errors in TEDx Video Subtitles. - Nils Reimers, Iryna Gurevych:
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. - Klaus-Tycho Foerster, Stefan Schmid:
Distributed Consistent Network Updates in SDNs: Local Verification for Global Guarantees. - Yang Liu, Runnan He, Kuanquan Wang, Qince Li, Qiang Sun, Na Zhao, Henggui Zhang:
Automatic Detection of ECG Abnormalities by using an Ensemble of Deep Residual Networks with Attention. - Felix Stahlberg, Bill Byrne:
On NMT Search Errors and Model Errors: Cat Got Your Tongue? - Yuna Jiang, Xiaohu Ge, Yi Zhong, Guoqiang Mao, Yonghui Li:
A New Small-World IoT Routing Mechanism based on Cayley Graphs. - Xin Wei, Ruixuan Yu, Jian Sun:
HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition. - John Charlton, Luis Rene Montana Gonzalez, Steve Maddock, Paul Richmond:
Fast Simulation of Crowd Collision Avoidance. - Artem Lukoyanov, Isabella Haberbosch, Constantin Pape, Alwin Kraemer, Yannick Schwab, Anna Kreshuk:
Synthetic patches, real images: screening for centrosome aberrations in EM images of human cancer cells. - Noe Caruso, Alessandro Michelangeli:
Convergence of the conjugate gradient method with unbounded operators. - Raj Dabre, Atsushi Fujita:
Multi-Layer Softmaxing during Training Neural Machine Translation for Flexible Decoding with Fewer Layers. - Ramiz Qussous, Thomas Künzel, Anke Weidlich:
Effects of a Coal Phase-Out on Market Dynamics: Results from a Simulation Model for Germany. - Varun Ojha, Ajith Abraham, Václav Snásel:
Heuristic design of fuzzy inference systems: A review of three decades of research. - Dimitri Ognibene, Lorenzo Mirante, Letizia Marchegiani:
Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions through Monte-Carlo Planning in POMDP Environments. - Ke Chen:
Learning-Based Video Game Development in MLP@UoM: An Overview. - Erik Bryhn Myklebust, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen:
Enabling Semantic Data Access for Toxicological Risk Assessment. - Ruaridh A. Clark, Giuliano Punzo, Malcolm Macdonald:
Network Communities of Dynamical Influence. - Eduard Eiben, Robert Ganian, Thekla Hamm, O-joung Kwon:
Measuring what Matters: A Hybrid Approach to Dynamic Programming with Treewidth. - Andrés Pérez-López, Eduardo Fonseca, Xavier Serra:
A hybrid parametric-deep learning approach for sound event localization and detection. - Jingran Zhang, Fumin Shen, Xing Xu, Heng Tao Shen:
Cooperative Cross-Stream Network for Discriminative Action Representation. - Sreekanth Vempati, Korah T. Malayil, Sruthi V, Sandeep R:
Enabling Hyper-Personalisation: Automated Ad Creative Generation and Ranking for Fashion e-Commerce. - Stefan Kindermann, Kemal Raik:
A simplified L-curve method as error estimator. - Sebastian A. Henningsen, Daniel Teunis, Martin Florian, Björn Scheuermann:
Eclipsing Ethereum Peers with False Friends. - Shigeyoshi Sato, Anke Weidlich:
Analysis of Avoided Transmission Through Decentralized Photovoltaic and Battery Storage Systems. - Michael Barz, Daniel Sonntag:
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning. - Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Zhiwu Lu, Ji-Rong Wen:
Mobile Video Action Recognition. - Bartosz Walter, Marcin Wolski, Zarko Stanisavljevic, Andrijana Todosijevic:
Constructing a Maturity Model for a Distributed Software Organization. - Philip Bille, Inge Li Gørtz, Frederik Rye Skjoldjensen:
Partial Sums on the Ultra-Wide Word RAM. - Lázaro J. González Soler, Marta Gomez-Barrero, Leonardo Chang, Airel Pérez Suárez, Christoph Busch:
Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks. - David Korczynski:
A characterisation of system-wide propagation in the malware landscape. - Matthias Bollhöfer, Olaf Schenk, Fabio Verbosio:
High Performance Block Incomplete LU Factorization. - Gábor Elek:
Learning Very Large Graphs and Nonsingular Actions of Discrete Groups. - Wanyu Chen, Pengjie Ren, Fei Cai, Maarten de Rijke:
Improving End-to-End Sequential Recommendations with Intent-aware Diversification. - Mert Bülent Sariyildiz, Ramazan Gökberk Cinbis, Erman Ayday:
Key Protected Classification for Collaborative Learning. - Andrea Antenucci, Pedro Crespo Del Granado, Blazhe Gjorgiev, Giovanni Sansavini:
Can models for long-term decarbonization policies guarantee security of power supply? A perspective from gas and power sector coupling. - Shahab Heshmati-Alamdari, Alexandros Nikou, Dimos V. Dimarogonas:
Robust Trajectory Tracking Control for Underactuated Autonomous Underwater Vehicles. - Pan Hu, Jacopo Urbani, Boris Motik, Ian Horrocks:
Datalog Reasoning over Compressed RDF Knowledge Bases. - Dingyuan Zheng, Jimin Xiao, Kaizhu Huang, Yao Zhao:
Segmentation Mask Guided End-to-End Person Search. - Qizhi Zhang, Yi Lin, Kangle Wu, Yongliang Li, Anxiang Zeng:
Matrix embedding method in match for session-based recommendation. - Tim Welschehold, Nichola Abdo, Christian Dornhege, Wolfram Burgard:
Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications. - George Ellis, Barbara Drossel:
How Downwards Causation Occurs in Digital Computers. - Manuel Ricardo Carlos:
A Machine Learning Approach for Smartphone-based Sensing of Roads and Driving Style. - Andrei Boiarov, Eduard Tyantov:
Large Scale Landmark Recognition via Deep Metric Learning. - Hiteshwar Kumar Azad, Akshay Deepak:
A novel model for query expansion using pseudo-relevant web knowledge. - Yunfei Meng, Zhiqiu Huang, Senzhang Wang, Yu Zhou, Guohua Shen, Changbo Ke:
Behavior-aware Service Access Control Mechanism using Security Policy Monitoring for SOA Systems. - Sebastian Krings, Joshua Schmidt, Patrick Skowronek, Jannik Dunkelau, Dierk Ehmke:
Towards Constraint Logic Programming over Strings for Test Data Generation. - Raul Vicente:
The many faces of deep learning. - Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. - Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang:
Urban flows prediction from spatial-temporal data using machine learning: A survey. - Canyu Le, Xihan Wei, Biao Wang, Lei Zhang:
Learning Continually from Low-shot Data Stream. - Iñigo Urteaga, Tristan Bertin, Theresa M. Hardy, David J. Albers, Noémie Elhadad:
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics. - Antony Thomas, Sunny Amatya, Fulvio Mastrogiovanni, Marco Baglietto:
Task-assisted Motion Planning in Partially Observable Domains. - Ngoc Hong Tran, Thien-An Nguyen-Ngoc, Nhien-An Le-Khac, M. Tahar Kechadi:
A Security-Aware Access Model for Data-Driven EHR System. - Lars Baumgärtner, Jonas Höchst, Patrick Lampe, Ragnar Mogk, Artur Sterz, Pascal Weisenburger, Mira Mezini, Bernd Freisleben:
Smart Street Lights and Mobile Citizen Apps for Resilient Communication in a Digital City. - Alvar Penning, Lars Baumgärtner, Jonas Höchst, Artur Sterz, Mira Mezini, Bernd Freisleben:
DTN7: An Open-Source Disruption-tolerant Networking Implementation of Bundle Protocol 7. - Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati:
Variational Extrapolation of Implicit Schemes for General Gradient Flows. - Hamza Jaffali, Luke Oeding:
Learning Algebraic Models of Quantum Entanglement. - Elazar Goldenberg, Karthik C. S.:
Hardness Amplification of Optimization Problems. - Fei Xu, Hehu Xie, Ning Zhang:
An Eigenwise Parallel Augmented Subspace Method for Eigenvalue Problems. - Xi Shen, Ilaria Pastrolin, Oumayma Bounou, Spyros Gidaris, Marc H. Smith, Olivier Poncet, Mathieu Aubry:
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach. - Andreas Gerken, Michael Spranger:
Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) for learning multi-goal, continuous action and state space controllers. - Cyril van Schreven, Naman Goel, Boi Faltings:
Infochain: A Decentralized System for Truthful Information Elicitation. - Lilia Simeonova, Kiril Ivanov Simov, Petya Osenova, Preslav Nakov:
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition. - Jan C. Dageförde, Finn Teegen:
Structured Traversal of Search Trees in Constraint-logic Object-oriented Programming. - Chaolong Jiang, Yushun Wang, Wenjun Cai:
A linearly implicit energy-preserving exponential integrator for the nonlinear Klein-Gordon equation. - Santi Puch, Irina Sánchez, Matt Rowe:
Few-shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition. - Yikai Wu, David Pujol, Ios Kotsogiannis, Ashwin Machanavajjhala:
Answering Summation Queries for Numerical Attributes under Differential Privacy. - Yi Zeng, Zihao Qi, Wencheng Chen, Yanzhe Huang, Xingxin Zheng, Han Qiu:
TEST: an End-to-End Network Traffic Examination and Identification Framework Based on Spatio-Temporal Features Extraction. - Jonathan DiLorenzo, Katie Mancini, Kathleen Fisher, Nate Foster:
TxForest: A DSL for Concurrent Filestores. - Morteza Fayazi, Ali Fotowat, Zahra Kavehvash:
A Simplified Approach to Two-Port Analysis in Feedback. - Fabio Celli:
The Wiki Music dataset: A tool for computational analysis of popular music. - Wim Michiels, Luca Fenzi:
Spectrum-based stability analysis and stabilization of a class of time-periodic time delay systems. - Marc Rußwurm, Romain Tavenard, Sébastien Lefèvre, Marco Körner:
Early Classification for Agricultural Monitoring from Satellite Time Series. - Sandro Pezzelle, Raquel Fernández:
Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts. - Zhi Cao, Honggang Zhang, Benyuan Liu:
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing. - Pedro Cesar Lopes Gerum:
Modelagem de um Problema de Dimensionamento de Lotes com Demanda Variavel e Deterministica e Efeitos de Learning e Forgetting. - James Leland Olds, Muhammad Salar Khan, M. Nayebpour, Naoru Koizumi:
Explainable AI: A Neurally-Inspired Decision Stack Framework. - Youngjun Cho, Nadia Bianchi-Berthouze:
Physiological and Affective Computing through Thermal Imaging: A Survey. - Yoshiki Takahashi, Masato Asahara, Kazuyuki Shudo:
A Framework for Model Search Across Multiple Machine Learning Implementations. - Yucel Aydin, Gunes Karabulut-Kurt, Enver Ozdemir:
Authenticated Hand-Over Algorithm for Group Communication. - Yucel Aydin, Gunes Karabulut-Kurt, Enver Ozdemir:
Authentication and Hand-Over Algorithms for IoT Group. - Dokook Choe, Rami Al-Rfou, Mandy Guo, Heeyoung Lee, Noah Constant:
Bridging the Gap for Tokenizer-Free Language Models. - Pinelopi Papalampidi, Frank Keller, Mirella Lapata:
Movie Plot Analysis via Turning Point Identification. - Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Sungja Choi, Inchul Hwang, Jihie Kim:
Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards. - Shirsendu Sukanta Halder, Jean-François Lalonde, Raoul de Charette:
Physics-Based Rendering for Improving Robustness to Rain. - William Schoenberg:
Causally interpretable multi-step time series forecasting: A new machine learning approach using simulated differential equations. - Davide Taibi, Valentina Lenarduzzi, Claus Pahl:
Continuous Architecting with Microservices and DevOps: A Systematic Mapping Study. - Ryan T. Elliott, Payman Arabshahi, Daniel S. Kirschen:
A Generalized PSS Architecture for Balancing Transient and Small-Signal Response. - Xiangping Zhu, Xiatian Zhu, Minxian Li, Vittorio Murino, Shaogang Gong:
Intra-Camera Supervised Person Re-Identification: A New Benchmark. - Yingjie Hu, Wenwen Li, Dawn J. Wright, Orhun Aydin, Daniel Wilson, Omar Maher, Mansour Raad:
Artificial Intelligence Approaches. - Jiunn-Kai Huang, Maani Ghaffari Jadidi, Ross Hartley, Lu Gan, Ryan M. Eustice, Jessy W. Grizzle:
LiDARTag: A Real-Time Fiducial Tag using Point Clouds. - Monireh Allah Gholi Ghasri, Ali Mohammad Afshin Hemmatyar, Siavash Bayat, Mostafa Mahdieh:
Novel Relay Selection Algorithms for Machine-to-Machine Communications with a Static RF Interface Usage. - Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S. Huang, Lei Zhang:
Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation. - Xiangping Zhu, Pietro Morerio, Vittorio Murino:
Unsupervised Domain-Adaptive Person Re-identification Based on Attributes. - Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han:
Facet-Aware Evaluation for Extractive Text Summarization. - Qian M. Zhou, Aiden Calvert, Maxwell Young:
Singletons for Simpletons: Revisiting Windowed Backoff using Chernoff Bounds. - Cristiane A. Pendeza Martinez, Taufik Abrão, Fábio Renan Durand, Alessandro Goedtel:
Hopfield Learning-based and Nonlinear Programming methods for Resource Allocation in OCDMA Networks. - Ruiqi Guo, Quan Geng, David Simcha, Felix Chern, Sanjiv Kumar, Xiang Wu:
New Loss Functions for Fast Maximum Inner Product Search. - Mustafa Cemil Coskun, Thomas Jerkovits, Gianluigi Liva:
Successive Cancellation List Decoding of Product Codes with Reed-Muller Component Codes. - Heriberto Cuayáhuitl:
A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots. - Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms. - Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim:
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits. - Zichao Wendy Di, Viviana Maggioni, Yiwen Mei, Marilyn Vazquez, Paul R. Houser, Maria Emelianenko:
Centroidal Voronoi Tessellation Based Methods for Optimal Rain Gauge Location Prediction. - Zijia Zhong, Joyoung Lee:
The Effectiveness of Managed Lane Strategies for the Near-term Deployment of Cooperative Adaptive Cruise Control. - Marcelo Finger:
Extending Description Logic EL++ with Linear Constraints on the Probability of Axioms. - Ryan J. Visée, Jirapat Likitlersuang, José Zariffa:
An Effective and Efficient Method for Detecting Hands in Egocentric Videos for Rehabilitation Applications. - Vikas K. Garg, Inderjit S. Dhillon, Hsiang-Fu Yu:
Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure. - Daniel Probst, Jean-Louis Reymond:
Visualization of Very Large High-Dimensional Data Sets as Minimum Spanning Trees. - Matthias Miller, Hanna Schäfer, Matthias Kraus, Marc Leman, Daniel A. Keim, Mennatallah El-Assady:
Framing Visual Musicology through Methodology Transfer. - Sushant Kafle, Abraham Glasser, Sedeeq Al-khazraji, Larwan Berke, Matthew Seita, Matt Huenerfauth:
Artificial Intelligence Fairness in the Context of Accessibility Research on Intelligent Systems for People who are Deaf or Hard of Hearing. - Youkichi Hosoi, Naoki Kobayashi, Takeshi Tsukada:
A Type-Based HFL Model Checking Algorithm. - Corneliu T. C. Arsene:
Complex Deep Learning Models for Denoising of Human Heart ECG signals. - Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren:
Hierarchical Text Classification with Reinforced Label Assignment. - Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Yongjin Cho, Sungja Choi, Satish Reddy Indurthi, Seunghak Yu, Hyungtak Choi, Inchul Hwang, Jihie Kim:
Ensemble-Based Deep Reinforcement Learning for Chatbots. - Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos:
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks. - Steven D. Morad, Jeremy Nash, Shoya Higa, Russell Smith, Aaron Parness, Kobus Barnard:
Improving Visual Feature Extraction in Glacial Environments. - Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, Graham Neubig:
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings. - Vishrant Tripathi, Eytan H. Modiano:
A Whittle Index Approach to Minimizing Functions of Age of Information. - Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher J. Pal, Adam Trischler:
Interactive Machine Comprehension with Information Seeking Agents. - Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli:
Self-Supervised Representation Learning via Neighborhood-Relational Encoding. - Jingfeng Yang, Federico Fancellu, Bonnie L. Webber:
A survey of cross-lingual features for zero-shot cross-lingual semantic parsing. - Kui Ren, Hongkai Zhao, Yimin Zhong:
Separability of the kernel function in an integral formulation for anisotropic radiative transfer equation. - Steffi O. Muhanji, Amro M. Farid:
An Enterprise Control Methodology for the Techno-Economic Assessment of the Energy Water Nexus. - Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári, Gellért Weisz:
Exploration-Enhanced POLITEX. - Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
K-CONFIG: Using Failing Test Cases to Generate Test Cases in GCC Compilers. - Xueping Wang, Rameswar Panda, Min Liu, Amit K. Roy-Chowdhury:
Consistent Cross-view Matching for Unsupervised Person Re-identification. - Steffi O. Muhanji, Clayton Barrows, Jordan Macknick, Amro M. Farid:
An Enterprise Control Assessment Case Study of the Energy-Water Nexus for the ISO New England System. - Zlatko Joveski, Jeremy P. Spinrad:
Interval-Permutation Segment Graphs. - Zhongkui Ma:
The Function Representation of Artificial Neural Network. - Yue Zhang, Jian Weng, Rajib Dey, Yier Jin, Zhiqiang Lin, Xinwen Fu:
On the (In)security of Bluetooth Low Energy One-Way Secure Connections Only Mode. - Zhen Xiang, David J. Miller, George Kesidis:
Revealing Backdoors, Post-Training, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification. - Donghui Yan, Songxiang Gu, Ying Xu, Zhiwei Qin:
Similarity Kernel and Clustering via Random Projection Forests. - Asim Smailagic, Pedro Costa, Alex Gaudio, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Devesh Walawalkar, Susu Xu, Adrian Galdran, Pei Zhang, Aurélio Campilho, Hae Young Noh:
O-MedAL: Online Active Deep Learning for Medical Image Analysis. - Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, Liqing Zhang:
Image Harmonization Datasets: HCOCO, HAdobe5k, HFlickr, and Hday2night. - Ziqing Xie, Rui Zhang, Bo Wang, Li-lian Wang:
An Efficient Iterative Method for Solving Multiple Scattering in Locally Inhomogeneous Media. - Ilya Mironov, Kunal Talwar, Li Zhang:
Rényi Differential Privacy of the Sampled Gaussian Mechanism. - Ross Glandon, Paul Tranquilli, Adrian Sandu:
Biorthogonal Rosenbrock-Krylov time discretization methods. - Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris:
Adversarial Representation Learning for Text-to-Image Matching. - Weinong Wang, Wenjie Pei, Qiong Cao, Shu Liu, Xiaoyong Shen, Yu-Wing Tai:
Orthogonal Center Learning with Subspace Masking for Person Re-Identification. - Yulun Tian, Katherine Liu, Kyel Ok, Loc D. Tran, Danette Allen, Nicholas Roy, Jonathan P. How:
Search and Rescue under the Forest Canopy using Multiple UAVs. - Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
SPair-71k: A Large-scale Benchmark for Semantic Correspondence. - Bowen Shi, Aurora Martinez Del Rio, Jonathan Keane, Diane Brentari, Greg Shakhnarovich, Karen Livescu:
Fingerspelling recognition in the wild with iterative visual attention. - Sumin Lee, Sungchan Oh, Chanho Jung, Changick Kim:
A Global-Local Emebdding Module for Fashion Landmark Detection. - Venkata Rohit Jakkula, George Karypis:
Streaming and Batch Algorithms for Truss Decomposition. - Yuan Yao, Yu Zhang, Xutao Li, Yunming Ye:
Heterogeneous Domain Adaptation via Soft Transfer Network. - Jia-Wang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid:
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video. - Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Explore Entity Embedding Effectiveness in Entity Retrieval. - Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Raghav Bhaskar, Mohamed Ali Kâafar:
On Inferring Training Data Attributes in Machine Learning Models. - Saurabh Kumar, Biplab Banerjee, Subhasis Chaudhuri:
Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification. - Xiaodong Cai, Jingyi Ma, Wei Liu, Hemin Han, Lili Ma:
Efficient Convolutional Neural Network for FMCW Radar Based Hand Gesture Recognition. - Arne Herzel, Cristina Bazgan, Stefan Ruzika, Clemens Thielen, Daniel Vanderpooten:
One-Exact Approximate Pareto Sets. - Piotr Faliszewski, Pasin Manurangsi, Krzysztof Sornat:
Approximation and Hardness of Shift-Bribery. - Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Dechao Meng, Qingming Huang:
Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding. - Stuart Byma, Akash Dhasade, Adrian M. Altenhoff, Christophe Dessimoz, James R. Larus:
Parallel and Scalable Precise Clustering for Homologous Protein Discovery. - Yanan Wang, Tong Xu, Xin Niu, Chang Tan, Enhong Chen, Hui Xiong:
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control. - Sarah Alotaibi, William A. P. Smith:
BioFaceNet: Deep Biophysical Face Image Interpretation. - Jana de Wiljes, Xin Tong:
Analysis of a localised nonlinear Ensemble Kalman Bucy Filter with complete and accurate observations. - Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang:
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries. - Katrien Laenen, Marie-Francine Moens:
Attention-based Fusion for Outfit Recommendation. - Giulio Ermanno Pibiri, Rossano Venturini:
Techniques for Inverted Index Compression. - Anahita Jamshidnejad, Emilio Frazzoli, Mohammad J. Mahjoob, Bart De Schutter:
Integrated Intelligent and Predictive Control: A Multi-Agent Adaptive Type-2 Fuzzy Control Architecture. - Chao-Lin Liu, Yi Chang:
Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty. - Michael Hanus, Finn Teegen:
Adding Data to Curry. - Michele Ginesi, Nicola Sansonetto, Paolo Fiorini:
DMP++: Overcoming Some Drawbacks of Dynamic Movement Primitives. - Alexander Liniger, Luca Varano, Alisa Rupenyan, John Lygeros:
Real-Time Predictive Control for Precision Machining. - Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang:
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. - Nadhir Ben Rached, Daniel MacKinlay, Zdravko I. Botev, Raúl Tempone, Mohamed-Slim Alouini:
A Universal Splitting Estimator for the Performance Evaluation of Wireless Communications Systems. - Matteo Castiglioni, Andrea Celli, Nicola Gatti:
Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud. - Chao-Lin Liu:
Onto Word Segmentation of the Complete Tang Poems. - Fasih Haider, Senja Pollak, Pierre Albert, Saturnino Luz:
Emotion Recognition in Low-Resource Settings: An Evaluation of Automatic Feature Selection Methods. - Nguyen Binh Truong, Kai Sun, Yike Guo:
Blockchain-based Personal Data Management: From Fiction to Solution. - Friso Selten, Cameron Neylon, Chun-Kai Huang, Paul Groth:
A Longitudinal Analysis of University Rankings. - Aitor Alvarez-Gila, Adrian Galdran, Estíbaliz Garrote, Joost van de Weijer:
Self-supervised blur detection from synthetically blurred scenes. - Diogo Gonçalves, Liweu Liu, Ana Magalhães:
How big can style be? Addressing high dimensionality for recommending with style. - Luca Calderoni, Dario Maio, Paolo Palmieri:
Bloom filter variants for multiple sets: a comparative assessment. - Carlos Campos, J. M. M. Montiel, Juan D. Tardós:
Fast and Robust Initialization for Visual-Inertial SLAM. - Shifeng Zhang, Ajian Liu, Jun Wan, Yanyan Liang, Guodong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z. Li:
CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing. - Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li:
Exploiting Multiple Embeddings for Chinese Named Entity Recognition. - Zack Morrow, Miroslav Stoyanov:
A Method for Dimensionally Adaptive Sparse Trigonometric Interpolation of Periodic Functions. - Changwei Loh, Daniel Schneegass, Pengwei Tian:
A Search for the Underlying Equation Governing Similar Systems. - (Withdrawn) Fixed final time three-axis satellite attitude control with thrusters based on dynamic programming and neural networks.
- Yanshan Wang, Krishna B. Soundararajan, Sunyang Fu, Luke A. Carlson, Rebecca A. Smith, David S. Knopman, Hongfang Liu:
How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease? - Ao Li, Zhou Qin, Runshi Liu, Yiqun Yang, Dong Li:
Spam Review Detection with Graph Convolutional Networks. - Praful D. Mankar, Priyabrata Parida, Harpreet S. Dhillon, Martin Haenggi:
Downlink Analysis for the Typical Cell in Poisson Cellular Networks. - Charles Masson, Jee E. Rim, Homin K. Lee:
DDSketch: A fast and fully-mergeable quantile sketch with relative-error guarantees. - Wenqing Lin, Feng He, Faqiang Zhang, Xu Cheng, Hongyun Cai:
Effective and Efficient Network Embedding Initialization via Graph Partitioning. - Tao Zhuo, Zhiyong Cheng, Peng Zhang, Yongkang Wong, Mohan S. Kankanhalli:
Explainable Video Action Reasoning via Prior Knowledge and State Transitions. - Vijay Anand, Vivek Kanhangad:
Cross-sensor Pore Detection in High-resolution Fingerprint Images using Unsupervised Domain Adaptation. - Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang:
Emotion Detection with Neural Personal Discrimination. - Ítalo Gomes Santana:
Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining. - Md. Rafiqul Islam Rabin, Ke Wang, Mohammad Amin Alipour:
Testing Neural Programs. - Jordan Holweger, Marina Dorokhova, Lionel Bloch, Christophe Ballif, Nicolas Wyrsch:
Unsupervised algorithm for disaggregating low-sampling-rate electricity consumption of households. - Steven Abreu:
Automated Architecture Design for Deep Neural Networks. - Robbert van Renesse:
Asynchronous Consensus Without Rounds. - Tao Zhuo, Zhiyong Cheng, Mohan S. Kankanhalli:
Fast Video Object Segmentation via Mask Transfer Network. - Ryuichi Takanobu, Hanlin Zhu, Minlie Huang:
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog. - Todor Mihaylov, Anette Frank:
Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension. - Junya Ikemoto, Toshimitsu Ushio:
Networked Control of Nonlinear Systems under Partial Observation Using Continuous Deep Q-Learning. - Michael P. J. Camilleri, Adrian Muscat, Victor J. Buttigieg, Maria Attard:
VJAĠĠ - A Thick-Client Smart-Phone Journey Detection Algorithm. - Peter M. VanNostrand, Ioannis Kyriazis, Michelle Cheng, Tian Guo, Robert J. Walls:
Confidential Deep Learning: Executing Proprietary Models on Untrusted Devices. - Semih Yavuz, Abhinav Rastogi, Guan-Lin Chao, Dilek Hakkani-Tür:
DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks. - Shichao Li, Kwang-Ting Cheng:
Facial age estimation by deep residual decision making. - Marie Farrell, Rafael C. Cardoso, Louise A. Dennis, Clare Dixon, Michael Fisher, Georgios Kourtis, Alexei Lisitsa, Matt Luckcuck, Matt Webster:
Modular Verification of Autonomous Space Robotics. - Hasan Burhan Beytur, Sajjad Baghaee, Elif Uysal:
Towards AoI-aware Smart IoT Systems. - Youmin Chen, Youyou Lu, Bohong Zhu, Jiwu Shu:
Kernel/User-level Collaborative Persistent Memory File System with Efficiency and Protection. - Giorgio Audrito, Ferruccio Damiani, Volker Stolz, Mirko Viroli:
On Distributed Runtime Verification by Aggregate Computing. 47-61 - Zhaoqiang Liu, Jonathan Scarlett:
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models. - David Schlangen:
Language Tasks and Language Games: On Methodology in Current Natural Language Processing Research. - Ning Zhou, Sandra Garcia Esparza, Lars Marius Garshol:
A Semantic Schema for Data Quality Management in a Multi-Tenant Data Platform. - Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar:
Deep Actor-Critic Reinforcement Learning for Anomaly Detection. - He He, Sheng Zha, Haohan Wang:
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual. - Andong Li, Chengshi Zheng, Xiaodong Li:
Convolutional Recurrent Neural Network Based Progressive Learning for Monaural Speech Enhancement. - Zijian Zhao, Su Zhu, Kai Yu:
Data Augmentation with Atomic Templates for Spoken Language Understanding. - Yujin Kwon, Hyoungshick Kim, Yung Yi, Yongdae Kim:
An Eye for an Eye: Economics of Retaliation in Mining Pools. - Telmo L. T. Menezes, Camille Roth:
Semantic Hypergraphs. - Haseeb Zia, Brice Lecampion:
PyFrac: A planar 3D hydraulic fracture simulator. - Emily A. de Sousa, Erivelton G. Nepomuceno, Márcio Falcão dos Santos Barroso:
Computation of the largest Lyapunov exponent using recursive estimation with variable factor. - Jia Huei Tan, Chee Seng Chan, Joon Huang Chuah:
Image Captioning with Sparse Recurrent Neural Network. - Mohanad Obeed, Hayssam Dahrouj, Anas M. Salhab, Salam A. Zummo, Mohamed-Slim Alouini:
User Pairing, Link Selection and Power Allocation for Cooperative NOMA Hybrid VLC/RF Systems. - Paul M. B. Vitányi:
Logical depth for reversible Turing machines with an application to the rate of decrease in logical depth for general Turing machines. - R. Stuart Geiger:
The Rise and Fall of the Note: Changing Paper Lengths in ACM CSCW, 2000-2018. - Phong Minh Vu, Tam The Nguyen, Tung Thanh Nguyen:
On building an automated responding system for app reviews: What are the characteristics of reviews and their responses? - Juan Cao, Qiang Sheng, Peng Qi, Lei Zhong, Yanyan Wang, Xueyao Zhang:
False News Detection on Social Media. - Teawon Han, Junbo Jing, Ümit Özgüner:
Driving Intention Recognition and Lane Change Prediction on the Highway. - Kai Wan, Giuseppe Caire:
On Coded Caching with Private Demands. - Teawon Han, Dimitar P. Filev, Ümit Özgüner:
An Online Evolving Framework for Modeling the Safe Autonomous Vehicle Control System via Online Recognition of Latent Risks. - Yuqing Zhou, Tsuyoshi Nomura, Ercan M. Dede, Kazuhiro Saitou:
Topology optimization for 3D thin-walled structures with adaptive meshing. - Sean Ovens, Philipp Woelfel:
Strongly Linearizable Implementations of Snapshots and Other Types. - Philipp Grohs, Arnulf Jentzen, Diyora Salimova:
Deep neural network approximations for Monte Carlo algorithms. - Mingrui Liu, Zhuoning Yuan, Yiming Ying, Tianbao Yang:
Stochastic AUC Maximization with Deep Neural Networks. - Dan A. Simovici, Kaixun Hua:
Data ultrametricity and clusterability. - Tong Geng, Ang Li, Tianqi Wang, Chunshu Wu, Yanfei Li, Antonino Tumeo, Martin C. Herbordt:
UWB-GCN: Hardware Acceleration of Graph-Convolution-Network through Runtime Workload Rebalancing. - Wanyu Du, Yangfeng Ji:
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation. - Julian Renner, Thomas Jerkovits, Hannes Bartz:
Efficient Decoding of Interleaved Low-Rank Parity-Check Codes. - Bjørn Kjos-Hanssen:
An Incompressibility Theorem for Automatic Complexity. - Alexandre Santiago de Abreu, Luís Felipe I. Cunha, Celina M. H. de Figueiredo, Luis Antonio Brasil Kowada, Franklin L. Marquezino, Renato Portugal, Daniel Posner:
The Tessellation Cover Number of Good Tessellable Graphs. - Zhuqing Jia, Syed Ali Jafar:
X-secure T-private Information Retrieval from MDS Coded Storage with Byzantine and Unresponsive Servers. - Merlinda Andoni, Valentin Robu, David Flynn, Wolf-Gerrit Früh:
Gibbs sampling for game-theoretic modeling of private network upgrades with distributed generation. - Marco Henrique de Almeida Inácio, Rafael Izbicki, Rafael Bassi Stern:
Conditional independence testing: a predictive perspective. - Mohammad Mahdi Naghsh, Maryam Masjedi, Arman Adibi, Petre Stoica:
Max-Min Fairness Design for MIMO Interference Channels: a Minorization-Maximization Approach. - Alex E. Bocchieri, Vishwa S. Parekh, Kathryn R. Wagner, Shivani Ahlawat, Vladimir Braverman, Doris G. Leung, Michael A. Jacobs:
Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy: Preliminary Results. - Chihiro Go, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures Considering Hue Distortion. - Nathaniel Tomasetti, Catherine S. Forbes, Anastasios Panagiotelis:
Updating Variational Bayes: Fast sequential posterior inference. - Robert Alexander Crowell:
The Tropical Division Problem and the Minkowski Factorization of Generalized Permutahedra. - Masaaki Harada:
Existence of some optimal maximal entanglement entanglement-assisted quantum codes. - Qu Xin, Chung G. Kang:
Achievable Degrees of Freedom for Closed-form Solution to Interference Alignment and Cancellation in Gaussian Interference Multiple Access Channel. - Yunyou Huang, Nana Wang, Tianshu Hao, Wanling Gao, Cheng Huang, Jianqing Li, Jianfeng Zhan:
LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting. - Waleed A. Yousef:
Estimating the Standard Error of Cross-Validation-Based Estimators of Classification Rules Performance. - Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, César L. C. Mattos, João P. P. Gomes:
No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization. - Kai Chen, Jing Yang, Xiaohu Ge, Yonghui Li:
Complex-BP-Neural-Network-based Hybrid Precoding for Millimeter Wave Multiuser Massive MIMO Systems. - Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka:
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations. - Huyên Pham, Xavier Warin:
Neural networks-based backward scheme for fully nonlinear PDEs. - David Eriksson, David Bindel, Christine A. Shoemaker:
pySOT and POAP: An event-driven asynchronous framework for surrogate optimization. - Tatiana Malygina, Elena Ericheva, Ivan Drokin:
GANs 'N Lungs: improving pneumonia prediction. - Sebastiaan Goossens, Sjoerd van der Heide, Menno van den Hout, Abdelkerim Amari, Yunus Can Gültekin, Olga Vassilieva, Inwoong Kim, Tadashi Ikeuchi, Frans M. J. Willems, Alex Alvarado, Chigo Okonkwo:
First Experimental Demonstration of Probabilistic Enumerative Sphere Shaping in Optical Fiber Communications. - Zhiwei Cao, Hongfei Zhu, Yuping Zhao, Dou Li:
Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes. - Michel Baes, Calypso Herrera, Ariel Neufeld, Pierre Ruyssen:
Low-Rank plus Sparse Decomposition of Covariance Matrices using Neural Network Parametrization. - Matteo Gallet, Georg Grasegger, Jan Legerský, Josef Schicho:
On the existence of paradoxical motions of generically rigid graphs on the sphere. - Alexander Cao, Benjamin Lindner, Peter J. Thomas:
A Partial Differential Equation for the Mean-Return-Time Phase of Planar Stochastic Oscillators. - In-Soo Kim, Junil Choi:
Gradient Pursuit-Based Channel Estimation for MmWave Massive MIMO Systems with One-Bit ADCs. - Jinfeng Du, Dmitry Chizhik, Reinaldo A. Valenzuela, Rodolfo Feick, Guillermo Castro, Mauricio Rodríguez, Tingjun Chen, Manav Kohli, Gil Zussman:
Directional Measurements in Urban Street Canyons from Macro Rooftop Sites at 28 GHz for 90% Outdoor Coverage. - In-Soo Kim, Junil Choi:
FCFGS-CV-Based Channel Estimation for Wideband MmWave Massive MIMO Systems with Low-Resolution ADCs. - Kenneth F. Caluya, Abhishek Halder:
Gradient Flow Algorithms for Density Propagation in Stochastic Systems. - Jason P. Terry, Prosper D. Akrobotu, Christian F. A. Negre, Susan M. Mniszewski:
Quantum Isomer Search. - Adam M. Oberman, Tiago Salvador:
A Partial Differential Equation Obstacle Problem for the Level Set Approach to Visibility. - Shahin Khobahi, Mojtaba Soltanalian, Feng Jiang, A. Lee Swindlehurst:
Optimized Transmission for Parameter Estimation in Wireless Sensor Networks. - Thibault Févry, Jason Phang, Nan Wu, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras:
Improving localization-based approaches for breast cancer screening exam classification. - Christopher A. Metzler, Hayato Ikoma, Yifan Peng, Gordon Wetzstein:
Deep Optics for Single-shot High-dynamic-range Imaging. - Juliana Siqueira-Gay, Mariana A. Giannotti, Monika Sester:
Learning about spatial inequalities: Capturing the heterogeneity in the urban environment. - Du Nguyen:
Lagrange Multipliers and Rayleigh Quotient Iteration in Constrained Type Equations. - Zheng Liu, Jinnian Zhang, Varun S. Jog, Po-Ling Loh, Alan B. McMillan:
Robustifying deep networks for image segmentation. - Feifan Lv, Feng Lu:
Attention-guided Low-light Image Enhancement. - Johannes Schmidt-Hieber:
Deep ReLU network approximation of functions on a manifold. - Adam J. Thorpe, Meeko M. K. Oishi:
Model-Free Stochastic Reachability Using Kernel Distribution Embeddings. - Karan N. Chadha, Ankur A. Kulkarni, Jayakrishnan Nair:
Efficiency Fairness Tradeoff in Battery Sharing. - Jin Li:
Universal Transforming Geometric Network. - Hongliang Duan, Ling Wang, Chengyun Zhang, Jianjun Li:
Retrosynthesis with Attention-Based NMT Model and Chemical Analysis of the "Wrong" Predictions. - Christian Payer, Darko Stern, Horst Bischof, Martin Urschler:
Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization. - Guy Shtar, Bracha Shapira, Lior Rokach:
Clustering Wi-Fi Fingerprints for Indoor-Outdoor Detection. - Kamel Jebreen, Badih Ghattas:
Inferring linear and nonlinear Interaction networks using neighborhood support vector machines. - José Ignacio Orlando, Anna Breger, Hrvoje Bogunovic, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth:
An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans. - Slawomir Kapka, Mateusz Lewandowski:
Sound source detection, localization and classification using consecutive ensemble of CRNN models. - Puyu Wang, Hai Zhang:
Differential Privacy for Sparse Classification Learning. - Decheng Wei, Changhong Lu:
Independent Double Roman Domination on Block Graphs. - François Coste:
Deep learning languages: a key fundamental shift from probabilities to weights? - Yi-Jin Pan, Cunhua Pan, Zhaohui Yang, Ming Chen, Jiangzhou Wang:
A Caching Strategy Towards Maximal D2D Assisted Offloading Gain. - Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier:
Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior. - Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier:
Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous Cases. - Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari:
Space-adaptive anisotropic bivariate Laplacian regularization for image restoration. - Eirina Bourtsoulatze, Aaron Chadha, Ilya Fadeev, Vasileios Giotsas, Yiannis Andreopoulos:
Deep Video Precoding. - Ka Hin Leung, Qi Wang:
New nonexistence results on (m, n)-generalized bent functions. - Guilherme França, Daniel P. Robinson, René Vidal:
Gradient Flows and Accelerated Proximal Splitting Methods. - Henrik Skibbe, Akiya Watakabe, Ken Nakae, Carlos Enrique Gutierrez, Hiromichi Tsukada, Junichi Hata, Takashi Kawase, Rui Gong, Alexander Woodward, Kenji Doya, Hideyuki Okano, Tetsuo Yamamori, Shin Ishii:
MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography. - Samuel Rey, Antonio G. Marqués, Santiago Segarra:
An Underparametrized Deep Decoder Architecture for Graph Signals. - Rajesh Ranganath, David M. Blei:
Population Predictive Checks. - Yeman Brhane Hagos, Priya Lakshmi Narayanan, Ayse U. Akarca, Teresa Marafioti, Yinyin Yuan:
ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images. - Nils Haug, Stefan Thurner, Alexandra Kautzky-Willer, Michael Gyimesi, Peter Klimek:
Identification of gatekeeper diseases on the way to cardiovascular mortality. - Andreas Hauptmann, Jonas Adler, Simon R. Arridge, Ozan Öktem:
Multi-Scale Learned Iterative Reconstruction. - Shantanu Prasad Burnwal, Mathukumalli Vidyasagar:
Deterministic Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs. - Hengrong Lan, Daohuai Jiang, Changchun Yang, Fei Gao:
Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo. - (Withdrawn) Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration.
- Seyedahmad Mousavi, Mohammad Mehdi Rezaee Taghiabadi, Ramin Ayanzadeh:
A Survey on Compressive Sensing: Classical Results and Recent Advancements. - Vasilis Kontonis, Christos Tzamos, Manolis Zampetakis:
Efficient Truncated Statistics with Unknown Truncation. - Yanting Ma, Shuchin Aeron, Hassan Mansour:
On the modes of convergence of Stochastic Optimistic Mirror Descent (OMD) for saddle point problems. - MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria, Jean-Pierre David:
U-Net Fixed-Point Quantization for Medical Image Segmentation. - Sahar Daraeizadeh, Shavindra P. Premaratne, Xiaoyu Song, Marek A. Perkowski, Anne Y. Matsuura:
Machine-learning based three-qubit gate for realization of a Toffoli gate with cQED-based transmon systems. - Haofu Liao, Wei-An Lin, Shaohua Kevin Zhou, Jiebo Luo:
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction. - Xinyi Li, Yinchuan Li, Xiao-Yang Liu, Christina Dan Wang:
Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. - Yuntian Chen, Haibin Chang, Meng Jin, Dongxiao Zhang:
Ensemble Neural Networks (ENN): A gradient-free stochastic method. - Vladyslav C. Usenko:
Generalized security analysis framework for continuous-variable quantum key distribution. - Sudeb Majee, Subit K. Jain, Rajendra K. Ray, Ananta K. Majee:
A Fuzzy Edge Detector Driven Telegraph Total Variation Model For Image Despeckling. - Menglei Zhang, Zhou Liu, Lei Yu:
CRNet: Image Super-Resolution Using A Convolutional Sparse Coding Inspired Network. - Rachana Sathish, Ronnie Rajan, Anusha Vupputuri, Nirmalya Ghosh, Debdoot Sheet:
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging. - Barbara Kaltenbacher, Tram Thi Ngoc Nguyen, Otmar Scherzer:
The tangential cone condition for some coefficient identification model problems in parabolic PDEs. - Miles E. Lopes, Suofei Wu, Thomas C. M. Lee:
Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting. - Fei Wang, Ling Zhou, Lu Tang, Peter X.-K. Song:
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models. - Abhishek Halder, Kenneth F. Caluya, Bertrand Travacca, Scott J. Moura:
Hopfield Neural Network Flow: A Geometric Viewpoint. - Dina B. Efremova, Dmitry A. Konovalov, Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
Automatic segmentation of kidney and liver tumors in CT images. - Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey A. Fessler:
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization. - Shujaat Khan, Jawwad Ahmad, Alishba Sadiq, Imran Naseem, Muhammad Moinuddin:
Spatio-Temporal RBF Neural Networks. - Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder:
Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network. - Wei Xia, Kazuhito Koishida:
Sound Event Detection in Multichannel Audio using Convolutional Time-Frequency-Channel Squeeze and Excitation. - Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos:
Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization. - Mathieu Granzotto, Romain Postoyan, Lucian Busoniu, Dragan Nesic, Jamal Daafouz:
Optimistic planning for the near-optimal control of nonlinear switched discrete-time systems with stability guarantees. - Yinghui Zhang, Xiaojuan Deng, Jun Zhang, Hongwei Li:
Restricted Linearized Augmented Lagrangian Method for Euler's Elastica Model. - Wei Xia, Jing Huang, John H. L. Hansen:
Cross-lingual Text-independent Speaker Verification using Unsupervised Adversarial Discriminative Domain Adaptation. - Miguel Moscoso, Alexei Novikov, George Papanicolaou, Chrysoula Tsogka:
Imaging with highly incomplete and corrupted data. - Zhetong Liang, Jianrui Cai, Zisheng Cao, Lei Zhang:
CameraNet: A Two-Stage Framework for Effective Camera ISP Learning. - Ines Ahrens, Benjamin Unger:
The Pantelides algorithm for delay differential-algebraic equations. - Momoko Hayamizu, Katharina T. Huber, Vincent Moulton, Yukihiro Murakami:
Recognizing and realizing cactus metrics. - Sergey Dolgov, Dante Kalise, Karl Kunisch:
A Tensor Decomposition Approach for High-Dimensional Hamilton-Jacobi-Bellman Equations. - Chenglong Wang, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Naoto Sassa, Momokazu Goto, Kensaku Mori:
Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams. - Minh-Duc Nguyen, Alexander P. Kryukov, Julia Y. Dubenskaya, Elena Korosteleva, Igor V. Bychkov, Andrey A. Mikhailov, Alexey O. Shigarov:
Data Aggregation In The Astroparticle Physics Distributed Data Storage. - Aman Rana, Alarice Lowe, Marie Lithgow, Katharine Horback, Tyler Janovitz, Annacarolina Da Silva, Harrison Tsai, Vignesh Shanmugam, Hyung-Jin Yoon, Pratik Shah:
High Accuracy Tumor Diagnoses and Benchmarking of Hematoxylin and Eosin Stained Prostate Core Biopsy Images Generated by Explainable Deep Neural Networks. - Michal Byra, Mei Wu, Xiaodong Zhang, Hyungseok Jang, Yajun Ma, Eric Y. Chang, Sameer Shah, Jiang Du:
Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning. - Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic:
A Unifying Analysis of Shift Operators on a Graph. - Ye Yuan, Jianguo Sun, Jian Guan:
Blind SAR Image Despeckling Using Self-Supervised Dense Dilated Convolutional Neural Network. - Giulia Meuli, Mathias Soeken, Earl T. Campbell, Martin Roetteler, Giovanni De Micheli:
The Role of Multiplicative Complexity in Compiling Low T-count Oracle Circuits. - Qing Lyu, Hongming Shan, Ge Wang:
Multi-Contrast Super-Resolution MRI Through a Progressive Network. - René Carmona, Mathieu Laurière:
Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games: II - The Finite Horizon Case. - Yoni Sher:
Review of Algorithms for Compressive Sensing of Images. - Thomas McAndrew, Nicholas G. Reich:
Adaptively stacking ensembles for influenza forecasting with incomplete data. - Melih C. Yesilli, Firas A. Khasawneh, Andreas Otto:
Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping. - Olga P. Stoyanovskaya, Tatiana A. Glushko, Valery N. Snytnikov, Nicolay V. Snytnikov:
Monodisperse gas-solid mixtures with intense interphase interaction in two-fluid Smoothed Particle Hydrodynamics. - Supriyo Dutta, Partha Guha:
Elements of Generalized Tsallis Relative Entropy in Classical Information Theory. - Felipe Campelo, Elizabeth F. Wanner:
Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances. - Hayden Schaeffer, Scott G. McCalla:
Extending the step-size restriction for gradient descent to avoid strict saddle points. - Midia Yousefi, Soheil Khorram, John H. L. Hansen:
Probabilistic Permutation Invariant Training for Speech Separation. - Eric Bradford, Lars Imsland, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Stochastic data-driven model predictive control using Gaussian processes. - Qidi Peng, Nan Rao, Ran Zhao:
Some Developments in Clustering Analysis on Stochastic Processes. - L. Lin, X. Liu, S. Dong:
A gPAV-Based Unconditionally Energy-Stable Scheme for Incompressible Flows with Outflow/Open Boundaries. - Petr Boriskov, Andrei Velichko:
Switch Elements with S-Shaped Current-Voltage Characteristic in Models of Neural Oscillators. - Cengiz Pehlevan, Dmitri B. Chklovskii:
Neuroscience-inspired online unsupervised learning algorithms. - Andrew Bennett, Nathan Kallus:
Policy Evaluation with Latent Confounders via Optimal Balance. - Eranda Çela, Elisabeth Gaar:
Monotonic Representations of Outerplanar Graphs as Edge Intersection Graphs of Paths on a Grid. - Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. - William Rundell, Zhidong Zhang:
On the identification of source term in the heat equation from sparse data. - Juste Raimbault:
Second-order Control of Complex Systems with Correlated Synthetic Data. - Romain Artru, Alexandre Gouaillard, Touradj Ebrahimi:
Digital Watermarking of video streams: Review of the State-Of-The-Art. - Sarah Blind, Kolja Knauer, Petru Valicov:
Enumerating k-arc-connected orientations. - Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang:
Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. - Zulkarnaen Hatala:
Practical Speech Recognition with HTK. - Wei-Ting Wang, Han-Lin Li, Wei-Shiang Lin, Cheng-Ming Chiang, Yi-Min Tsai:
Architecture-aware Network Pruning for Vision Quality Applications. - Spyros Angelopoulos, Thomas Lidbetter:
Competitive Search in a Network. - Robert Pinsler, Jonathan Gordon, Eric T. Nalisnick, José Miguel Hernández-Lobato:
Bayesian Batch Active Learning as Sparse Subset Approximation. - Nir Billfeld, Moshe Kim:
Semiparametric Wavelet-based JPEG IV Estimator for endogenously truncated data. - Fabian Isensee, Klaus H. Maier-Hein:
An attempt at beating the 3D U-Net. - David I. Spivak:
Generalized Lens Categories via functors Cop → Cat. - Craig Bakker, W. Steven Rosenthal, Kathleen E. Nowak:
Koopman Representations of Dynamic Systems with Control. - Xiao-Tong Yuan, Ping Li:
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond. - Julian Fischer, Stefan Neukamm:
Optimal homogenization rates in stochastic homogenization of nonlinear uniformly elliptic equations and systems. - Zongze Ren, Zhiyong Chen, Shugong Xu:
Triplet Based Embedding Distance and Similarity Learning for Text-independent Speaker Verification. - Marc Combalia, Noel C. F. Codella, Veronica Rotemberg, Brian Helba, Verónica Vilaplana, Ofer Reiter, Allan C. Halpern, Susana Puig, Josep Malvehy:
BCN20000: Dermoscopic Lesions in the Wild. - Emille E. O. Ishida:
Machine Learning and the future of Supernova Cosmology. - Emily E. Diller, Sha Cao, Beth Ey, Robert Lober, Jason G. Parker:
Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival. - Lili Zhao, Dai Feng:
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values. - Nilesh Tripuraneni, Lester Mackey:
Debiasing Linear Prediction. - Tracey Li, Jesper Dejby, Maximilian Albert, Linus Bengtsson, Véronique Lefebvre:
Detecting individual internal displacements following a sudden-onset disaster using time series analysis of call detail records. - Tracey Li, Jesper Dejby, Maximilian Albert, Linus Bengtsson, Véronique Lefebvre:
Estimating the resilience to natural disasters by using call detail records to analyse the mobility of internally displaced persons. - Kenji Kawaguchi, Jiaoyang Huang:
Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes. - Jing Cheng, Haifeng Wang, Leslie Ying, Dong Liang:
Model Learning: Primal Dual Networks for Fast MR imaging. - Franklin Abodo, Andrew Berthaume, Stephen Zitzow-Childs, Leonardo Bobadilla:
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming. - Gihyun Kwon, Chihye Han, Daeshik Kim:
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks. - Gil Kalai:
The Argument against Quantum Computers. - Muhammad Usman, Muhammad Sohail Ibrahim, Jawwad Ahmad, Syed Saiq Hussain, Muhammad Moinuddin:
Quantum Calculus-based Volterra LMS for Nonlinear Channel Estimation. - Ulrich Bauer:
Ripser: efficient computation of Vietoris-Rips persistence barcodes. - Mattia Mazzoli, Boris Diechtiareff, Antònia Tugores, Willian Wives, Natalia Adler, Pere Colet, José J. Ramasco:
Migrant mobility flows characterized with digital data. - Giacomo Talmelli, Thibaut Devolder, Nick Träger, Johannes Förster, Sebastian Wintz, Markus Weigand, Hermann Stoll, Marc M. Heyns, Gisela Schütz, Iuliana P. Radu, Joachim Gräfe, Florin Ciubotaru, Christoph Adelmann:
Reconfigurable nanoscale spin wave majority gate with frequency-division multiplexing. - Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gómez, Nicolas Toussaint, Emma C. Robinson, Bernhard Kainz:
Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers. - Sungrack Yun, Janghoon Cho, Jungyun Eum, Wonil Chang, Kyuwoong Hwang:
An End-to-End Text-independent Speaker Verification Framework with a Keyword Adversarial Network. - Jamie A. O'Reilly, Manas Sangworasil, Takenobu Matsuura:
Kidney and Kidney Tumor Segmentation using a Logical Ensemble of U-nets with Volumetric Validation. - Matthew Amy:
Sized Types for low-level Quantum Metaprogramming. - Jingyuan Wang, Yang Zhang, Ke Tang, Junjie Wu, Zhang Xiong:
AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks. - Seong-Min Hwang, Gwanghyun Yu, Jinyoung Kim:
Linear Depthwise Convolution for Single Image Super-Resolution. - Antoine Pirovano, Leandro G. Almeida, Saïd Ladjal:
Regression Constraint for an Explainable Cervical Cancer Classifier. - Sudeb Majee, Rajendra K. Ray, Ananta K. Majee:
Well-posedness study of a non-linear hyperbolic-parabolic coupled system applied to image speckle reduction. - Luis Fernando Abanto-Leon, Matthias Hollick, Gek Hong Sim:
Hybrid Precoding for Multi-Group Multicasting in mmWave Systems. - Tomohiro Nakatani, Keisuke Kinoshita:
Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation. - Othmane Sebbouh, Nidham Gazagnadou, Samy Jelassi, Francis R. Bach, Robert M. Gower:
Towards closing the gap between the theory and practice of SVRG. - Judy Hoffman, Daniel A. Roberts, Sho Yaida:
Robust Learning with Jacobian Regularization. - Digvijay Boob, Qi Deng, Guanghui Lan:
Proximal Point Methods for Optimization with Nonconvex Functional Constraints. - Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar:
Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem. - Zhuoran Dang:
A stochastic game theory approach for the prediction of interfacial parameters in two-phase flow systems. - Sogol Babaeinejadsarookolaee, Adam B. Birchfield, Richard D. Christie, Carleton Coffrin, Christopher L. DeMarco, Ruisheng Diao, Michael Ferris, Stephane Fliscounakis, Scott Greene, Renke Huang, Cédric Josz, Roman Korab, Bernard C. Lesieutre, Jean Maeght, Daniel K. Molzahn, Thomas J. Overbye, Patrick Panciatici, Byungkwon Park, Jonathan Snodgrass, Ray Zimmerman:
The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms. - Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization. - C. J. Díaz Baso, J. de la Cruz Rodríguez, S. Danilovic:
Solar image denoising with convolutional neural networks. - Zarathustra Brady, Larry Guth, Fedor Manin:
A hardness of approximation result in metric geometry. - Mirko Schäfer, Fabian Hofmann, Hazem Abdel-Khalek, Anke Weidlich:
Principal Cross-Border Flow Patterns in the European Electricity Markets. - Saulo Queiroz, Wesley Silva, João P. Vilela, Edmundo Monteiro:
Maximal Spectral Efficiency of OFDM with Index Modulation under Polynomial Space Complexity. - Bongjun Kim, Shabnam Ghaffarzadegan:
Self-supervised Attention Model for Weakly Labeled Audio Event Classification. - Pengzhi Huang, Oscar Castañeda, Emre Gönültas, Saïd Medjkouh, Olav Tirkkonen, Tom Goldstein, Christoph Studer:
Improving Channel Charting with Representation-Constrained Autoencoders. - Ramina Ghods, Alexandra Gallyas-Sanhueza, Seyed Hadi Mirfarshbafan, Christoph Studer:
BEACHES: Beamspace Channel Estimation for Multi-Antenna mmWave Systems and Beyond. - Mohammad Amin Sarafrazi, Ülle Kotta, Zbigniew Bartosiewicz:
Finite determination of accessibility and geometric structure of singular points for nonlinear systems. - Tung-Yu Wu, Y. X. Rachel Wang, Wing H. Wong:
Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal. - Matthew D. Ritch, Bailey G. Hannon, A. Thomas Read, Andrew J. Feola, Grant A. Cull, Juan Reynaud, John C. Morrison, Claude F. Burgoyne, Machelle T. Pardue, C. Ross Ethier:
AxoNet: an AI-based tool to count retinal ganglion cell axons. - François-Xavier Briol, Francisco Alejandro DiazDelaO, Peter O. Hristov:
Contributed Discussion of "A Bayesian Conjugate Gradient Method". - Hideyasu Kawai:
Subgroups of an abelian group, related ideals of the group ring, and quotients by those ideals. - Antonio Falvo, Danilo Comminiello, Simone Scardapane, Giorgio Finesi, Michele Scarpiniti, Aurelio Uncini:
A Multimodal Deep Network for the Reconstruction of T2W MR Images. - Miloslav Znojil:
Hiddenly Hermitian quantum models: The concept of perturbations. - Shruti Gupta, Md. Shah Fahad, Akshay Deepak:
Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition. - Victoria Rayskin:
Users' traffic on two-sided Internet platforms. Qualitative dynamics. - Mehdi Karimi, Levent Tunçel:
Domain-Driven Solver (DDS): a MATLAB-based Software Package for Convex Optimization Problems in Domain-Driven Form. - Qihang Lin, Selvaprabu Nadarajah, Negar Soheili, Tianbao Yang:
A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints. - Olivier Beaude, Pascal Benchimol, Stéphane Gaubert, Paulin Jacquot, Nadia Oudjane:
A Privacy-preserving Method to Optimize Distributed Resource Allocation. - Valerio Capraro, Ismael Rodriguez-Lara, Maria J. Ruiz-Martos:
Preferences for efficiency, rather than preferences for morality, drive cooperation in the one-shot Stag-Hunt Game. - Tom Edinburgh, Peter Smielewski, Marek Czosnyka, Stephen J. Eglen, Ari Ercole:
DeepClean - self-supervised artefact rejection for intensive care waveform data using generative deep learning. - James D. Currie, Lucas Mol, Narad Rampersad:
The repetition threshold for binary rich words. - Max Wilson, Sam Stromswold, Filip A. Wudarski, Stuart Hadfield, Norm M. Tubman, Eleanor Gilbert Rieffel:
Optimizing quantum heuristics with meta-learning. - Yang Liu:
Received Signal Strength Based Wireless Source Localization with Inexact Anchor Position. - Wenshuai Zhao, Zengfeng Zeng:
Multi Scale Supervised 3D U-Net for Kidney and Tumor Segmentation. - Saeed Izadi, Zahra Mirikharaji, Mengliu Zhao, Ghassan Hamarneh:
WhiteNNer-Blind Image Denoising via Noise Whiteness Priors. - Ruben Sanchez-Romero, Joseph D. Ramsey, Kun Zhang, Clark Glymour:
Identification of Effective Connectivity Subregions. - Aman Shrivastava, Karan Kant, Saurav Sengupta, Sung-Jun Kang, Marium N. Khan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Donald E. Brown, Sana Syed:
Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease. - Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Noboru Harada, Keisuke Imoto:
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection. - Hassan Dashtian, Muhammad Sahimi:
Efficient Simulation of Fluid Flow and Transport in Heterogeneous Media Using Graphics Processing Units (GPUs). - D. Sabari Nathan, M. Parisa Beham, S. Md. Mansoor Roomi:
Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit. - Yuwen Yang, Feifei Gao, Geoffrey Ye Li, Mengnan Jian:
Deep Learning based Downlink Channel Prediction for FDD Massive MIMO System. - Pierre Humbert, Julien Audiffren, Laurent Oudre, Nicolas Vayatis:
Multivariate Convolutional Sparse Coding with Low Rank Tensor. - Liming Pan, Wei Wang, Shimin Cai, Tao Zhou:
Optimizing spreading dynamics in interconnected networks. - Fabio Banfi, Ueli Maurer, Christopher Portmann, Jiamin Zhu:
Composable and Finite Computational Security of Quantum Message Transmission. - Ayelet Heimowitz, Joakim Andén, Amit Singer:
Bias and variance reduction and denoising for CTF Estimation. - Chaithanya Kumar Mummadi, Tim Genewein, Dan Zhang, Thomas Brox, Volker Fischer:
Group Pruning using a Bounded-Lp norm for Group Gating and Regularization. - Paul Görlach, Yue Ren, Leon Zhang:
Computing zero-dimensional tropical varieties via projections. - Gabriel Spadon, André C. P. L. F. de Carvalho, José F. Rodrigues Jr., Luiz G. A. Alves:
Reconstructing commuters network using machine learning and urban indicators. - Mahmood Ettehad, Nick Duffield, Gregory Berkolaiko:
Optimizing Consistent Merging and Pruning of Subgraphs in Network Tomography. - Siyuan Feng, Tan Lee:
Exploiting Cross-Lingual Speaker and Phonetic Diversity for Unsupervised Subword Modeling. - Habti Abeida, Jean Pierre Delmas:
Slepian-Bangs formula and Cramer Rao bound for circular and non-circular complex elliptical symmetric distributions. - Barbara Re, Alberto Guardone:
An Adaptive ALE Scheme for Non-Ideal Compressible-Fluid Dynamics over Dynamic Unstructured Meshes. - Alexander Rhatushnyak, Jan Wassenberg, Jon Sneyers, Jyrki Alakuijala, Lode Vandevenne, Luca Versari, Robert Obryk, Zoltan Szabadka, Evgenii Kliuchnikov, Iulia-Maria Comsa, Krzysztof Potempa, Martin Bruse, Moritz Firsching, Renata Khasanova, Ruud van Asseldonk, Sami Boukortt, Sebastian Gomez, Thomas Fischbacher:
Committee Draft of JPEG XL Image Coding System. - Isidro Cortés-Ciriano, Andreas Bender:
Concepts and Applications of Conformal Prediction in Computational Drug Discovery. - Rogier R. Wildeboer, Ruud J. G. van Sloun, Christophe K. Mannaerts, Georg Salomon, Hessel Wijkstra, Massimo Mischi:
Synthetic Elastography using B-mode Ultrasound through a Deep Fully-Convolutional Neural Network. - Renee Swischuk, Boris Kramer, Cheng Huang, Karen Willcox:
Learning physics-based reduced-order models for a single-injector combustion process. - Sebastian Kleis, Max Rueckmann, Christian G. Schaeffer:
Continuous-Variable Quantum Key Distribution with a Real Local Oscillator and without Auxiliary Signals. - Jerry Liu, Shenlong Wang, Raquel Urtasun:
DSIC: Deep Stereo Image Compression. - Yunan Wu, Lan Wang:
A Survey of Tuning Parameter Selection for High-dimensional Regression. - Ang Li, Fan Liu, Christos Masouros, Yonghui Li, Branka Vucetic:
Interference Exploitation 1-Bit Massive MIMO Precoding: A Partial Branch-and-Bound Solution with Near-Optimal Performance. - Francesco Calivá, Claudia Iriondo, Alejandro Morales Martinez, Sharmila Majumdar, Valentina Pedoia:
Distance Map Loss Penalty Term for Semantic Segmentation. - Abdullah-Al-Zubaer Imran, Demetri Terzopoulos:
Semi-Supervised Multi-Task Learning With Chest X-Ray Images. - Noga Alon, Shirshendu Ganguly, Nikhil Srivastava:
High-girth near-Ramanujan graphs with localized eigenvectors. - Bin Zhao, Hong Wu, Guohua Liu, Chen Cao, Song Jin, Zhiyang Liu, Shuxue Ding:
Automatic acute ischemic stroke lesion segmentation using semi-supervised learning. - Sioan Zohar, Chun-Hong Yoon:
Estimation of Spectral Clustering Hyper Parameters. - Vincent Delecroix, Carlos Matheus, Carlos Gustavo Moreira:
Approximation of the Lagrange and Markov spectra. - Filippo Radicchi, Dmitri V. Krioukov, Harrison Hartle, Ginestra Bianconi:
Classical Information Theory of Networks. - Akos Vertes, Albert-Baskar Arul, Peter Avar, Andrew R. Korte, Lida Parvin, Ziad J. Sahab, Deborah I. Bunin, Merrill Knapp, Denise Nishita, Andrew Poggio, Mark-Oliver Stehr, Carolyn L. Talcott, Brian M. Davis, Christine A. Morton, Christopher J. Sevinsky, Maria I. Zavodszky:
Transcriptional Response of SK-N-AS Cells to Methamidophos. - Huaiqian You, Xin Yang Lu, Nathaniel Trask, Yue Yu:
An Asymptotically Compatible Approach For Neumann-Type Boundary Condition On Nonlocal Problems. - Wenzhong Zhou, Huiqian Du, Wenbo Mei, Liping Fang:
Efficient Structurally-Strengthened Generative Adversarial Network for MRI Reconstruction. - E. Kogan:
Linking of three triangles in 3-space. - Aziz Belmiloudi:
Optimal Control for Chemotaxis Systems and Adjoint-Based Optimization with Multiple-Relaxation-Time Lattice Boltzmann Models. - (Withdrawn) Almost Surely Asymptotic Freeness for Jacobian Spectrum of Deep Network.
- Shouvanik Chakrabarti, Andrew M. Childs, Shih-Han Hung, Tongyang Li, Chunhao Wang, Xiaodi Wu:
Quantum algorithm for estimating volumes of convex bodies. - Rizwan Sadiq, Sasan Asadiabadi, Engin Erzin:
Emotion Dependent Facial Animation from Affective Speech. - Shishuo Fu, Yaling Wang:
Bijective recurrences concerning two Schröder triangles. - Piyush Gupta, Shaunak D. Bopardikar, Vaibhav Srivastava:
Incentivizing Collaboration in Heterogeneous Teams via Common-Pool Resource Games. - Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, Stefan Gumhold:
Structural Similarity based Anatomical and Functional Brain Imaging Fusion. - Ping Lu, Yanyan Zhang, Jianxiong Chen, Yuan Xiao, George Zhao:
Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics. - Priyanga Dilini Talagala, Rob J. Hyndman, Kate Smith-Miles:
Anomaly Detection in High Dimensional Data. - Ronny Hug, Wolfgang Hübner, Michael Arens:
Modeling continuous-time stochastic processes using $\mathcal{N}$-Curve mixtures. - Mathieu Besançon, Miguel F. Anjos, Luce Brotcorne:
Near-optimal Robust Bilevel Optimization. - Nicolas Gillis:
Successive Projection Algorithm Robust to Outliers. - Kundan Kumar, Debashisa Samal, Suraj:
Automated retinal vessel segmentation based on morphological preprocessing and 2D-Gabor wavelets. - Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala:
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. - Paul Garnier, Jonathan Viquerat, Jean Rabault, Aurélien Larcher, Alexander Kuhnle, Elie Hachem:
A review on Deep Reinforcement Learning for Fluid Mechanics. - Natasha Westland, André Seixas Dias, Marta Mrak:
Decision Trees for Complexity Reduction in Video Compression. - Nils Gessert, Alexander Schlaefer:
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs. - Yash Patel, Srikar Appalaraju, R. Manmatha:
Human Perceptual Evaluations for Image Compression. - Aakanksha Rana, Praveer Singh, Giuseppe Valenzise, Frédéric Dufaux, Nikos Komodakis, Aljosa Smolic:
Deep Tone Mapping Operator for High Dynamic Range Images. - Stacey Jeffery:
Span Programs and Quantum Space Complexity. - Indrajit Mazumdar:
Automated Brain Tumour Segmentation Using Deep Fully Convolutional Residual Networks. - Sevda Shabani, Saeed Samadianfard, Mohammad Taghi Sattari, Shahab Shamshirband, Amir Mosavi, Tibor Kmet, Annamária R. Várkonyi-Kóczy:
Modeling Daily Pan Evaporation in Humid Climates Using Gaussian Process Regression. - Flavia-Corina Mitroi-Symeonidis, Ion Anghel, Octavian Lalu, Constantin Popa:
The permutation entropy and its applications on fire tests data. - Steven C. Cook, Tamar Shinar:
Enabling Simulation of High-Dimensional Micro-Macro Biophysical Models through Hybrid CPU and Multi-GPU Parallelism. - Shaojin Ding, Quan Wang, Shuo-Yiin Chang, Li Wan, Ignacio López-Moreno:
Personal VAD: Speaker-Conditioned Voice Activity Detection. - Jason Teutsch, Vitalik Buterin, Christopher Brown:
Interactive coin offerings. - Federico Echenique, Antonio Miralles, Jun Zhang:
Fairness and efficiency for probabilistic allocations with endowments. - Fangzhou Xie:
Wasserstein Index Generation Model: Automatic Generation of Time-series Index with Application to Economic Policy Uncertainty. - Miguel Moscoso, Alexei Novikov, George Papanicolaou, Chrysoula Tsogka:
The Noise Collector for sparse recovery in high dimensions. - Hao Qiu, Zaiwang Gu, Lei Mou, Xiaoqian Mao, Liyang Fang, Yitian Zhao, Jiang Liu, Jun Cheng:
The Channel Attention based Context Encoder Network for Inner Limiting Membrane Detection. - Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Guarantees for Solving Random Equations with One-Bit Information. - Hao Xu, Haibin Chang, Dongxiao Zhang:
DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data. - Zhixian Lei, Kyle Luh, Prayaag Venkat, Fred Zhang:
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates. - Chaowei Tan, Zhennan Yan, Shaoting Zhang, Kang Li, Dimitris N. Metaxas:
Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation. - Jun Fan, Dao-Hong Xiang:
Comparison theorems on large-margin learning. - Alexander Zlokapa, Alex Mott, Joshua Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu:
Quantum adiabatic machine learning with zooming. - Junyuan Gao, Yongpeng Wu, Fan Wei:
Random Pilot and Data Access for Massive MIMO Spatially Correlated Rayleigh Fading Channels. - Maxim Pisov, Mikhail Goncharov, Nadezhda Kurochkina, Sergey Morozov, Victor Gombolevskiy, Valeria Chernina, Anton Vladzymyrskyy, Ksenia Zamyatina, Anna Chesnokova, Igor Pronin, Michael Shifrin, Mikhail Belyaev:
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection. - Henry von Wahl, Thomas Richter, Christoph Lehrenfeld, Jan Heiland, Piotr Minakowski:
Numerical benchmarking of fluid-rigid body interactions. - Xi Chen, Farhan Feroz, Michael P. Hobson:
Bayesian automated posterior repartitioning for nested sampling. - Amogh Matt, Dan Stowell:
Estimating & Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling. - Amit Mishra, Pranath Reddy, Rahul Nigam:
CMB-GAN: Fast Simulations of Cosmic Microwave background anisotropy maps using Deep Learning. - Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li:
Learn to Compress CSI and Allocate Resources in Vehicular Networks. - Camilo Bermudez, Justin A. Blaber, Samuel W. Remedios, Jess E. Reynolds, Catherine Lebel, Maureen McHugo, Stephan Heckers, Yuankai Huo, Bennett A. Landman:
Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning. - Pavel Denisov, Ngoc Thang Vu:
End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning. - Katharina Immel, Thang X. Duong, Vu-Hieu Nguyen, Guillaume Haïat, Roger Andrew Sauer:
A modified Coulomb's law for the tangential debonding of osseointegrated implants. - Ali Abavisani, Mark A. Hasegawa-Johnson:
The role of cue enhancement and frequency fine-tuning in hearing impaired phone recognition. - Tongda Xu, Xiyan Cai, Yao Wang, Xiuyuan Wang, Sohae Chung, Els Fieremans, Joseph Rath, Steven Flanagan, Yvonne W. Lui:
Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method. - Philippe Terrier:
Gait recognition via deep learning of the center-of-pressure trajectory. - Christian Marzahl, Marc Aubreville, Christof A. Bertram, Jason Stayt, Anne-Katherine Jasensky, Florian Bartenschlager, Marco Fragoso-Garcia, Ann K. Barton, Svenja Elsemann, Samir Jabari, Jens Krauth, Prathmesh Madhu, Jörn Voigt, Jenny Hill, Robert Klopfleisch, Andreas K. Maier:
Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides. - Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection. - Kewei Chen, Donya Ghavidel, Vijay Gupta, Yih-Fang Huang:
Distributed Estimation in the Presence of Strategic Data Sources. - Jonathan Burns:
On Occupancy Moments and Bloom Filter Efficiency. - Badr-Eddine Chérief-Abdellatif:
Generalization Error Bounds for Deep Variational Inference. - Nico Gößling, Wiebke Middelberg, Simon Doclo:
RTF-steered binaural MVDR beamforming incorporating multiple external microphones. - Sensong An, Bowen Zheng, Hong Tang, Mikhail Y. Shalaginov, Li Zhou, Hang Li, Tian Gu, Juejun Hu, Clayton Fowler, Hualiang Zhang:
Generative Multi-Functional Meta-Atom and Metasurface Design Networks. - Zeliang Liu:
Deep material network with cohesive layers: Multi-stage training and interfacial failure analysis. - David de Laat, Larry Rolen, Zack Tripp, Ian Wagner:
Pair correlation for Dedekind zeta functions of abelian extensions. - Hocine Cherifi, Gergely Palla, Boleslaw K. Szymanski, Xiaoyan Lu:
On community structure in complex networks: challenges and opportunities. - Fangyao Lu, Qianqian Wang, Tao Wang:
3-choosable planar graphs with some precolored vertices and no $5^{-}$-cycles normally adjacent to $8^{-}$-cycles. - Xuening Zhu, Feng Li, Hansheng Wang:
Least Squares Approximation for a Distributed System. - Shrey Gadiya, Deepak Anand, Amit Sethi:
Histographs: Graphs in Histopathology. - Karsten Roth, Jürgen Hesser, Tomasz K. Konopczynski:
Boosting Liver and Lesion Segmentation from CT Scans By Mask Mining. - Xin Zhang, Bei Niu, Yan Li, Bi Li:
Equitable vertex arboricity of $d$-degenerate graphs. - Xin Zhang, Bei Niu:
Equitable tree-$O(d)$-coloring of $d$-degenerate graphs. - Bei Niu, Xin Zhang:
Light edges in 1-planar graphs of minimum degree 3. - Xin Zhang, Bei Niu:
Equitable partition of graphs into induced linear forests. - Ziyi Xu, Samy Elshamy, Ziyue Zhao, Tim Fingscheidt:
Components Loss for Neural Networks in Mask-Based Speech Enhancement. - Xumin Tao, Hongrong Wei, Wufeng Xue, Dong Ni:
Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN. - Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang:
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation. - Oswin Aichholzer, Martin Balko, Michael Hoffmann, Jan Kyncl, Wolfgang Mulzer, Irene Parada, Alexander Pilz, Manfred Scheucher, Pavel Valtr, Birgit Vogtenhuber, Emo Welzl:
Minimal Representations of Order Types by Geometric Graphs. - Byungjoo Choi, Gaang Lee, Houtan Jebelli, SangHyun Lee:
Assessing Workers Perceived Risk During Construction Task Using A Wristband-Type Biosensor. - Kun Fang, Hamza Fawzi:
The sum-of-squares hierarchy on the sphere, and applications in quantum information theory. - Anirudha Majumdar, Georgina Hall, Amir Ali Ahmadi:
A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics. - Subhadeep Dey, Petr Motlícek, Trung Bui, Franck Dernoncourt:
Exploiting semi-supervised training through a dropout regularization in end-to-end speech recognition. - Mohammad Shirvani, Georges Kesserwani, Paul Richmond:
Agent-based simulator of dynamic flood-people interactions. - Cesar R. Salas Guerra:
Epistemological approach in immersive virtual environments and the neurophysiology learning process. - Veronica Corona, Martin Benning, Lynn F. Gladden, Andi Reci, Andrew J. Sederman, Carola-Bibiane Schoenlieb:
Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data. - Mohsen Shahhosseini, Guiping Hu, Hieu Pham:
Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems. - Changhong Mou, Honghu Liu, David R. Wells, Traian Iliescu:
Data-Driven Correction Reduced Order Models for the Quasi-Geostrophic Equations: A Numerical Investigation. - Manu Goyal, Neil D. Reeves, Satyan Rajbhandari, Naseer Ahmad, Chuan Wang, Moi Hoon Yap:
Recognition of Ischaemia and Infection in Diabetic Foot Ulcers: Dataset and Techniques. - Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
Robust parametric modeling of Alzheimer's disease progression. - Hyunji Moon, Hyeonseop Lee:
Mixed pooling of seasonality in time series pallet forecasting. - Jelmer M. Wolterink, Tim Leiner, Ivana Isgum:
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography. - Hao Chen, William J. Welch:
Sequential Computer Experimental Design for Estimating an Extreme Probability or Quantile. - Floris Hermsen, Peter Bloem, Fabian Jansen, Wolf Vos:
End-to-End Learning from Complex Multigraphs with Latent Graph Convolutional Networks. - Shuang Qiu, Xiaohan Wei, Zhuoran Yang:
Robust One-Bit Recovery via ReLU Generative Networks: Improved Statistical Rates and Global Landscape Analysis. - Zhenyu Zhao, Totte Harinen:
Uplift Modeling for Multiple Treatments with Cost Optimization. - Zhenyu Zhao, Radhika Anand, Mallory Wang:
Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform. - Szu-Yeu Hu, Wei-Hung Weng, Shao-Lun Lu, Yueh-Hung Cheng, Furen Xiao, Feng-Ming Hsu, Jen-Tang Lu:
Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery. - Yaniv Romano, Rina Foygel Barber, Chiara Sabatti, Emmanuel J. Candès:
With Malice Towards None: Assessing Uncertainty via Equalized Coverage. - Rui Wang, Yifan Gu, He Chen, Yonghui Li, Branka Vucetic:
On the Age of Information of Short-Packet Communications with Packet Management. - Samuel Gunz, Svenja Erne, Eric J. Rawdon, Garyfalia Ampanozi, Till Sieberth, Raffael Affolter, Lars C. Ebert, Akos Dobay:
Automated Rib Fracture Detection of Postmortem Computed Tomography Images Using Machine Learning Techniques. - Anna Kuzina, Evgenii Egorov, Evgeny Burnaev:
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems. - Nathanaël Perraudin, Ankit Srivastava, Aurélien Lucchi, Tomasz Kacprzak, Thomas Hofmann, Alexandre Réfrégier:
Cosmological N-body simulations: a challenge for scalable generative models. - Yann Beilliard, François Paquette, Frédéric Brousseau, Serge Ecoffey, Fabien Alibart, Dominique Drouin:
Observation of Highly Nonlinear Resistive Switching of Al2O3/TiO2-x Memristors at Cryogenic Temperature (1.5 K). - Ian Ball, Deniz Kattwinkel:
Probabilistic Verification in Mechanism Design. - Felix M. Strnad, Wolfram Barfuss, Jonathan F. Donges, Jobst Heitzig:
Deep reinforcement learning in World-Earth system models to discover sustainable management strategies. - Ola Spjuth, Robin Carrión Brännström, Lars Carlsson, Niharika Gauraha:
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets. - Li Yu:
Quantum preprocessing for security enhancement in classical two-party computation. - (Withdrawn) Clustered Variants of Hajós' Conjecture.
- Cheng Peng, Wei-An Lin, Haofu Liao, Rama Chellappa, Shaohua Kevin Zhou:
Deep Slice Interpolation via Marginal Super-Resolution, Fusion and Refinement. - Cheng Peng, Wei-An Lin, Rama Chellappa, Shaohua Kevin Zhou:
Towards multi-sequence MR image recovery from undersampled k-space data. - Bart Liefers, Johanna M. Colijn, Cristina González-Gonzalo, Timo Verzijden, Paul Mitchell, Carel B. Hoyng, Bram van Ginneken, Caroline C. W. Klaver, Clara I. Sánchez:
A deep learning model for segmentation of geographic atrophy to study its long-term natural history. - Jennifer F. Hoyal Cuthill, Nicholas Guttenberg, Sophie Ledger, Robyn Crowther, Blanca Huertas:
Deep learning on butterfly phenotypes tests evolution's oldest mathematical model. - Gökhan Çapan, Ilker Gündogdu, Ali Caner Türkmen, Cagri Sofuoglu, Ali Taylan Cemgil:
A Bayesian Choice Model for Eliminating Feedback Loops. - Dongming Sun, Xiao Huang, Kailun Yang:
A Multimodal Vision Sensor for Autonomous Driving. - Hamed Rahimian, Sanjay Mehrotra:
Distributionally Robust Optimization: A Review. - Yigal Shenkman, Bilal Qutteineh, Leo Joskowicz, Adi Szeskin, Yusef Azraq, Arnaldo Mayer, Iris Eshed:
Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings. - Barbaros S. Erdal, Mutlu Demirer, Chiemezie C. Amadi, Gehan F. M. Ibrahim, Thomas P. O'Donnell, Rainer Grimmer, Andreas Wimmer, Kevin J. Little, Vikash Gupta, Matthew T. Bigelow, Luciano M. Prevedello, Richard D. White:
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters? - Sam Sanders:
Lifting recursive counterexamples to higher-order arithmetic. - Vyacheslav Olshevsky, Yuri V. Khotyaintsev, Andrey Divin, Gian Luca Delzanno, Sven Anderzen, Pawel Andrzej Herman, Steven Wei Der Chien, Levon Avanov, Stefano Markidis:
Automated classification of plasma regions using 3D particle energy distribution. - AmirHossein Habibian, Ties van Rozendaal, Jakub M. Tomczak, Taco S. Cohen:
Video Compression With Rate-Distortion Autoencoders. - Redha A. Ali, Russell C. Hardie, Manawaduge Supun De Silva, Temesguen Messay Kebede:
Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features. - Gautam Krishna, Yan Han, Co Tran, Mason Carnahan, Ahmed H. Tewfik:
State-of-the-art Speech Recognition using EEG and Towards Decoding of Speech Spectrum From EEG. - Iris A. M. Huijben, Bastiaan S. Veeling, Kees Janse, Massimo Mischi, Ruud J. G. van Sloun:
Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging. - Weichi Yao, Afonso S. Bandeira, Soledad Villar:
Experimental performance of graph neural networks on random instances of max-cut. - Ouwen Huang, Will Long, Nick Bottenus, Gregg E. Trahey, Sina Farsiu, Mark L. Palmeri:
MimickNet, Matching Clinical Post-Processing Under Realistic Black-Box Constraints. - Laurent Risser, Quentin Vincenot, Nicolas P. Couellan, Jean-Michel Loubes:
Using Wasserstein-2 regularization to ensure fair decisions with Neural-Network classifiers. - Samory Kpotufe, Bharath K. Sriperumbudur:
Kernel Sketching yields Kernel JL. - Tai-Long He, Dylan B. A. Jones, Binxuan Huang, Yuyang Liu, Kazuyuki Miyazaki, Zhe Jiang, E. Charlie White, Helen M. Worden, John R. Worden:
Recurrent U-net: Deep learning to predict daily summertime ozone in the United States. - Dan Nguyen, Rafe McBeth, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Chenyang Shen, Xun Jia, Steve B. Jiang:
Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy. - Rasmus Froberg Brøndum, Thomas Yssing Michaelsen, Martin Bøgsted:
Regression on imperfect class labels derived by unsupervised clustering. - Xiangyu Li, Gongning Luo, Kuanquan Wang:
Multi-step Cascaded Networks for Brain Tumor Segmentation. - Veronica Corona, Angelica I. Avilés-Rivero, Noémie Debroux, Carole Le Guyader, Carola-Bibiane Schönlieb:
Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution. - Carolin Lawrence, Bhushan Kotnis, Mathias Niepert:
Attending to Future Tokens For Bidirectional Sequence Generation. - Mikael Brudfors, John Ashburner, Parashkev Nachev, Yaël Balbastre:
Empirical Bayesian Mixture Models for Medical Image Translation. - Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, Manuel Jorge Cardoso:
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning. - Longzhao Liu, Xin Wang, Yi Zheng, Wenyi Fang, Shaoting Tang, Zhiming Zheng:
Homophily on social networks changes evolutionary advantage in competitive information diffusion. - Iasson Karafyllis, Miroslav Krstic:
Stability Results for the Continuity Equation. - Yaroslav D. Sergeyev, Antonio Candelieri, Dmitri E. Kvasov, Riccardo Perego:
Safe global optimization of expensive noisy black-box functions in the $δ$-Lipschitz framework. - Maxim Osipov:
Towards automated symptoms assessment in mental health. - Jonathan D. Hauenstein, Martin Helmer:
Probabilistic Saturations and Alt's Problem. - Xueying Tang, Zhi Wang, Jingchen Liu, Zhiliang Ying:
An Exploratory Analysis of the Latent Structure of Process Data via Action Sequence Autoencoder. - Michael C. Thrun, Tino Gehlert, Alfred Ultsch:
Analyzing the Fine Structure of Distributions. - Joelle Feijó de França, Hugo Abreu Mendes, Lucas Gallindo Costa, Andrea Tavares Dantas, Angela Luzia Branco Pinto Duarte, Anderson Stevens Leônidas Gomes, Emery Cleiton Cabral Correia Lins:
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis. - Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi:
A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders. - Yu Gu, Yantong Wang, Zhi Liu, Jun Liu, Jie Li:
SleepGuardian: An RF-based Healthcare System Guarding Your Sleep from Afar. - Zhenhua Shi, Xiaomo Chen, Changming Zhao, He He, Veit Stuphorn, Dongrui Wu:
Multi-View Broad Learning System for Primate Oculomotor Decision Decoding. - Jonas Geiping, Michael Moeller:
Parametric Majorization for Data-Driven Energy Minimization Methods. - Fuwei Li, Lifeng Lai, Shuguang Cui:
On the Adversarial Robustness of Subspace Learning. - Huyen T. T. Tran, Duc V. Nguyen, Nam Pham Ngoc, Trang H. Hoang, Truong Thu Huong, Truong Cong Thang:
Impacts of Retina-related Zones on Quality Perception of Omnidirectional Image. - Likun Shi, Wei Zhou, Zhibo Chen:
No-Reference Light Field Image Quality Assessment Based on Spatial-Angular Measurement. - Priya Batra, V. R. Krithika, T. S. Mahesh:
Push-Pull Optimization of Quantum Controls. - Gagan Sidhu:
Locally Linear Embedding and fMRI feature selection in psychiatric classification. - Yingfei Gu, Xiao-Liang Qi:
Majorana fermions and the Sensitivity Conjecture. - Frank Phillipson, Jurriaan Parie, Ron Weikamp:
Prune Sampling: a MCMC inference technique for discrete and deterministic Bayesian networks. - Bilwaj Gaonkar, Alex A. T. Bui, Luke Macyszyn:
EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation. - Ching-Lun Tai, Sung-Hsien Hsieh, Chun-Shien Lu:
Greedy Algorithms for Hybrid Compressed Sensing. - Anant Gupta, Atul Ingle, Mohit Gupta:
Asynchronous Single-Photon 3D Imaging. - Chaya Keller, Rom Pinchasi:
On sets of n points in general position that determine lines that can be pierced by n points. - Hao Jin, Dachao Lin, Zhihua Zhang:
Towards Better Generalization: BP-SVRG in Training Deep Neural Networks. - Thomas W. Rogers, J. Gonzalez-Bueno, R. Garcia Franco, E. Lopez Star, D. Méndez Marín, J. Vassallo, V. C. Lansingh, Sameer Trikha, Nicolas Jaccard:
Evaluation of an AI System for the Detection of Diabetic Retinopathy from Images Captured with a Handheld Portable Fundus Camera: the MAILOR AI study. - (Withdrawn) Image Formation Model Guided Deep Image Super-Resolution.
- Ronak D. Mehta, Cencheng Shen, Ting Xu, Joshua T. Vogelstein:
A Consistent Independence Test for Multivariate Time-Series. - Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian, Sila Kurugol, Ulas Bagci:
Weakly Supervised Segmentation by A Deep Geodesic Prior. - Oliver Knill:
Energized simplicial complexes. - Jakob Ablinger:
Proving two conjectural series for ζ(7) and discovering more series for ζ(7). - Hideyuki Miyahara, Kazuyuki Aihara, Wolfgang Lechner:
Quantum Expectation-Maximization Algorithm. - Iordanis Kerenidis, Alessandro Luongo, Anupam Prakash:
Quantum Expectation-Maximization for Gaussian Mixture Models. - Jemin George, Tao Yang, He Bai, Prudhvi Gurram:
Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning. - Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai:
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. - Michael Gref, Christoph Schmidt, Sven Behnke, Joachim Köhler:
Two-Staged Acoustic Modeling Adaption for Robust Speech Recognition by the Example of German Oral History Interviews. - Iordanis Kerenidis, Anupam Prakash, Dániel Szilágyi:
Quantum algorithms for Second-Order Cone Programming and Support Vector Machines. - Matthew John Colbrook:
Computing Spectral Measures and Spectral Types: New Algorithms and Classifications. - Xi Chen, Hongzhi Wang, Yanjie Wei, Jianzhong Li, Hong Gao:
Autoregressive-Model-Based Methods for Online Time Series Prediction with Missing Values: an Experimental Evaluation. - Mohsen Shahhosseini, Rafael A. Martinez-Feria, Guiping Hu, Sotirios V. Archontoulis:
Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms. - Alpay Özcan:
On Using Signal Magnitude in Diffusion Magnetic Resonance Measurements of Restricted Motion. - Shirin Seyedsalehi, Vahid Pourahmadi, Hamid Sheikhzadeh, Ali Hossein Gharari Foumani:
Propagation Channel Modeling by Deep learning Techniques. - Yixing Huang, Alexander Preuhs, Guenter Lauritsch, Michael Manhart, Xiaolin Huang, Andreas K. Maier:
Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior. - Binhang Yuan, Wenhui Xing:
Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks. - Md Tamzeed Islam, Shahriar Nirjon:
Wi-Fringe: Leveraging Text Semantics in WiFi CSI-Based Device-Free Named Gesture Recognition. - Kai Wang:
An Efficient Algorithm to Test Potentially Bipartiteness of Graphical Degree Sequences. - Weiheng Jiang, Xiaogang Wu, Yi Gong, Wanxin Yu, Xinhui Zhong:
Monthly electricity consumption forecasting by the fruit fly optimization algorithm enhanced Holt-Winters smoothing method. - Furqan Jameel, Muhammad Awais Javed, Duy T. Ngo:
Performance Analysis of Cooperative V2V and V2I Communications under Correlated Fading. - Georgios Exarchakis, Jörg Bornschein, Abdul-Saboor Sheikh, Zhenwen Dai, Marc Henniges, Jakob Drefs, Jörg Lücke:
ProSper - A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions. - Mohamed S. Abdalzaher, Osamu Muta:
Employing Game Theory and TDMA Protocol to Enhance Security and Manage Power Consumption in WSNs-based Cognitive Radio. - Nir Shlezinger, Yonina C. Eldar:
Deep Task-Based Quantization. - Solmaz Niknam, Harpreet S. Dhillon, Jeffrey H. Reed:
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges. - Nicolas Boullé, Vassilios Dallas, Yuji Nakatsukasa, D. Samaddar:
Classification of chaotic time series with deep learning. - Grigorios G. Anagnostopoulos, Alexandros Kalousis:
A Reproducible Analysis of RSSI Fingerprinting for Outdoor Localization Using Sigfox: Preprocessing and Hyperparameter Tuning. - Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet:
SIRUS: making random forests interpretable. - Yu-Min Chung, Chuan-Shen Hu, Yu-Lun Lo, Hau-Tieng Wu:
A persistent homology approach to heart rate variability analysis with an application to sleep-wake classification. - Anup Das, Francky Catthoor, Siebren Schaafsma:
Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG. - Anver Hisham, Erik G. Ström, Fredrik Brännström:
Radio Resource Management for V2V Multihop Communication Considering Adjacent Channel Interference. - Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Nicolas Farrugia:
Comparing linear structure-based and data-driven latent spatial representations for sequence prediction. - Xinjia Chen:
Probability Estimation with Truncated Inverse Binomial Sampling. - Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang:
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. - Pritam Anand, Reshma Rastogi, Suresh Chandra:
A new asymmetric ε-insensitive pinball loss function based support vector quantile regression model. - Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard:
A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing. - Ali Hatamizadeh, Assaf Hoogi, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel L. Rubin, Demetri Terzopoulos:
Deep Active Lesion Segmentation. - Guillaume Marrelec, Alain Giron:
Cumulants of multiinformation density in the case of a multivariate normal distribution. - Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin, Michael Bockmayr, Wojciech Samek, Frederick Klauschen, Klaus-Robert Müller, Alexander Binder:
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods. - Zhiyuan He, Danchen Lin, Thomas Lau, Mike Wu:
Gradient Boosting Machine: A Survey. - Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang:
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. - Yao Li:
Improve variational autoEncoder with auxiliary softmax multiclassifier. - Shelley Kandola:
The Topological Complexity of Spaces of Digital Jordan Curves. - Tobias Fritz:
A synthetic approach to Markov kernels, conditional independence, and theorems on sufficient statistics. - Stefan Vlaski, Ali H. Sayed:
Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization. - Weipéng Huáng, Guangyuan Piao, Raúl Moreno, Neil J. Hurley:
Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology. - W. Bastiaan Kleijn, Felicia S. C. Lim, Michael Chinen, Jan Skoglund:
Salient Speech Representations Based on Cloned Networks. - Armand M. Makowski, Siddharth Pal:
Asymptotic degree distributions in random threshold graphs. - Izaak Neri, Fernando Lucas Metz:
Spectral theory for the stability of dynamical systems on large oriented locally tree-like graphs. - Yixiao Li, Gloria Lin, Thomas Lau, Ruochen Zeng:
A Review of Changepoint Detection Models. - Maayan Frid-Adar, Rula Amer, Hayit Greenspan:
Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data. - Yibo Li, Jianxing Hu, Yanxing Wang, Jielong Zhou, Liangren Zhang, Zhenming Liu:
DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning. - Ingvild M. Helgøy, Yushu Li:
A Noise-Robust Fast Sparse Bayesian Learning Model. - (Withdrawn) Minimal degenerate CSS quantum code with low cost circuit.
- Nilay Saraf, Alberto Bemporad:
An efficient non-condensed approach for linear and nonlinear model predictive control with bounded variables. - Michel Moukari, Loïc Simon, Sylvaine Picard, Frédéric Jurie:
n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error. - Roberto D'Autilia, Louis Nantenaina Andrianaivo, Alessio Troiani:
Parallel simulation of two-dimensional Ising models using Probabilistic Cellular Automata. - Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert:
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. - Chandra Churh Chatterjee, Gopal Krishna:
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks. - Robert Eyre, Flavia De Luca, Filippo Simini:
Social media usage reveals how regions recover after natural disaster. - Ala Eldin Omer, George Shaker, Safieddin Safavi-Naeini, Georges Alquié, Frédérique Deshours, Hamid Kokabi:
Triple-Poles Complementary Split Ring Resonator for Sensing Diabetics Glucose Levels at cm-Band. - Ritwik Bhaduri, Soham Bonnerjee, Subhrajyoty Roy:
Onset detection: A new approach to QBH system. - Benjamin Plaster, Gautam Kumar:
Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory. - Regina Zaghi-Lara, Miguel Ángel Gea, Jordi Camí, Luis M. Martínez, Alex Gomez-Marin:
Playing magic tricks to deep neural networks untangles human deception. - Alessio Arleo, Christos Tsigkanos, Chao Jia, Roger A. Leite, Ilir Murturi, Manfred Klaffenboeck, Schahram Dustdar, Michael Wimmer, Silvia Miksch, Johannes Sorger:
Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge. - Ryan Alweiss:
Noisy Corruption Detection. - Igor Trindade, Cleverson Veloso Nahum, Camila Novaes, Daniel Cederholm, Gyanesh Patra, Aldebaro Klautau:
C-RAN Virtualization with OpenAirInterface. - William Whiteley, Jens Gregor:
Direct Neural Network 3D Image Reconstruction of Radon Encoded Data. - Sreejith Sreekumar, Deniz Gündüz:
Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off. - Federico Echenique:
New developments in revealed preference theory: decisions under risk, uncertainty, and intertemporal choice. - Nahid Amani, Saeedeh Parsaeefard, Hassan Taheri, Hossein Pedram:
Power-Efficient Resource Allocation in Massive MIMO Aided Cloud RANs. - Tomer Lancewicki, Selçuk Köprü:
Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent. - Diaa Badawi, Tuba Ayhan, Sule Ozev, Chengmo Yang, Alex Orailoglu, A. Enis Çetin:
Detecting Gas Vapor Leaks Using Uncalibrated Sensors. - Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert:
Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image. - Valeriy Avanesov:
How to gamble with non-stationary X-armed bandits and have no regrets. - Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne, Alexander Glandon, Khan M. Iftekharuddin:
Survey on Deep Neural Networks in Speech and Vision Systems. - Shunqing Zhang, Shugong Xu, Geoffrey Ye Li, Ender Ayanoglu:
First 20 Years of Green Radios. - Mizuho Nishio, Koji Fujimoto, Kaori Togashi:
Lung segmentation on chest x-ray images in patients with severe abnormal findings using deep learning. - Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. - Neslihan Bayramoglu, Aleksei Tiulpin, Jukka Hirvasniemi, Miika T. Nieminen, Simo Saarakkala:
Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis. - Yuval Landau, Nahum Kiryati:
Dataset Growth in Medical Image Analysis Research. - Hanna Meyer, Christoph Reudenbach, Stephan Wöllauer, Thomas Nauss:
Importance of spatial predictor variable selection in machine learning applications - Moving from data reproduction to spatial prediction. - Caitlyn A. K. Singam:
Implementation of a Low-Cost Flight Tracking System for High-Altitude Ballooning. - Maxime Soler, Martin Petitfrere, Gilles Darche, Mélanie Plainchault, Bruno Conche, Julien Tierny:
Ranking Viscous Finger Simulations to an Acquired Ground Truth with Topology-aware Matchings. - Motaz Alfarraj, Ghassan AlRegib:
Semi-supervised Sequence Modeling for Elastic Impedance Inversion. - Milan Hladík:
Stability of the linear complementarity problem properties under interval uncertainty. - Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers:
TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays. - Xiangyi Li, Huaming Wu:
Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback. - (Withdrawn) Secure practical indoor optical wireless communications using quantum key distribution.
- Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht:
DISCo for the CIA: Deep learning, Instance Segmentation, and Correlations for Calcium Imaging Analysis. - Konstantinos Ntontin, Jian Song, Marco Di Renzo:
Multi-Antenna Relaying and Reconfigurable Intelligent Surfaces: End-to-End SNR and Achievable Rate. - Chenchao Shou, Matthew West:
A tree-based radial basis function method for noisy parallel surrogate optimization. - Tessina H. Scholl, Lutz Gröll, Veit Hagenmeyer:
Time Delay in the Swing Equation: A Variety of Bifurcations. - Raehyun Kim, Chan Ho So, Minbyul Jeong, Sanghoon Lee, Jinkyu Kim, Jaewoo Kang:
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction. - Yaman Dang, Deepak Anand, Amit Sethi:
Pixel-wise Segmentation of Right Ventricle of Heart. - Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Francky Catthoor, Siebren Schaafsma:
Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware. - Yunguan Fu, Maria R. Robu, Bongjin Koo, Crispin Schneider, Stijn van Laarhoven, Danail Stoyanov, Brian R. Davidson, Matthew J. Clarkson, Yipeng Hu:
More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation. - Miles D. Cranmer, Richard Galvez, Lauren Anderson, David N. Spergel, Shirley Ho:
Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates. - Keri A. McKiernan, Erik Davis, M. Sohaib Alam, Chad Rigetti:
Automated quantum programming via reinforcement learning for combinatorial optimization. - Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko:
Boundary Aware Networks for Medical Image Segmentation. - Francesco Caravelli, Gia-Wei Chern, Cristiano Nisoli:
Artificial Spin Ice Phase-Change Memory Resistors. - Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh:
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. - Ricardo A. Podestá, Denis E. Videla:
The spectra of generalized Paley graphs and their associated irreducible cyclic codes. - Zhixiong Yang, Waheed U. Bajwa:
BRIDGE: Byzantine-resilient Decentralized Gradient Descent. - Md. Abu Sayeed, Saraju P. Mohanty, Elias Kougianos:
cSeiz: An Edge-Device for Accurate Seizure Detection and Control for Smart Healthcare. - Adrian Kent, Damián Pitalúa-García:
Flexible S-money token schemes. - Philip B. Stark:
There is no Reliable Way to Detect Hacked Ballot-Marking Devices. - Qi Bi, Kun Qin, Han Zhang, Wenjun Han, Zhili Li, Kai Xu:
Building change detection based on multi-scale filtering and grid partition. - Sihai Guan, Chun Meng, Bharat B. Biswal:
Optimal step-size of least mean absolute fourth algorithm in low SNR. - David Byrd, Tucker Hybinette Balch:
Intra-day Equity Price Prediction using Deep Learning as a Measure of Market Efficiency. - Jonathan Klawitter:
The agreement distance of unrooted phylogenetic networks. - Fabrizio Nunnari, Daniel Sonntag:
A CNN toolbox for skin cancer classification. - Chihiro Go, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
An Image Fusion Scheme for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures. - Yong-Ho Yoo, Ue-Hwan Kim, Jong-Hwan Kim:
Convolutional Recurrent Reconstructive Network for Spatiotemporal Anomaly Detection in Solder Paste Inspection. - Jiexiang Wang, Tao Li:
Distributed Cooperative Online Estimation With Random Observation Matrices, Communication Graphs and Time-Delays. - Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim:
Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation. - Mariëlle J. A. Jansen, Wouter B. Veldhuis, Maarten S. van Leeuwen, Josien P. W. Pluim:
Motion correction of dynamic contrast enhanced MRI of the liver. - Favour M. Nyikosa, Michael A. Osborne, Stephen J. Roberts:
Adaptive Configuration Oracle for Online Portfolio Selection Methods. - Christian Bender, Nikolaus Schweizer:
'Regression Anytime' with Brute-Force SVD Truncation. - Xiqi Yang, Qingfeng Zhang, Zhan Li:
Contour Detection in Cassini ISS images based on Hierarchical Extreme Learning Machine and Dense Conditional Random Field. - Gökhan Özbulak:
Image Colorization By Capsule Networks. - Benjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer:
LEAP nets for power grid perturbations. - Liron Ravner, Yutaka Sakuma:
Strategic arrivals to a queue with service rate uncertainty. - Zachariah Carmichael, Humza Syed, Dhireesha Kudithipudi:
Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting. - Alishba Sadiq, Muhammad Sohail Ibrahim, Muhammad Usman, Muhammad Zubair, Shujaat Khan:
Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks. - Guangzeng Xie, Luo Luo, Zhihua Zhang:
A General Analysis Framework of Lower Complexity Bounds for Finite-Sum Optimization. - Jonas Schuff, Lukas J. Fiderer, Daniel Braun:
Improving the dynamics of quantum sensors with reinforcement learning. - Xavier Caruso:
Residues of skew rational functions and linearized Goppa codes. - Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, David Atkinson, Kris Thielemans, Brian F. Hutton, M. Jorge Cardoso, Sébastien Ourselin:
Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning. - Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
On the convergence of single-call stochastic extra-gradient methods. - Xiao-Yun Zhou, Peichao Li, Zhao-Yang Wang, Guang-Zhong Yang:
U-Net Training with Instance-Layer Normalization. - Ryan Alweiss, Shachar Lovett, Kewen Wu, Jiapeng Zhang:
Improved bounds for the sunflower lemma. - Peter Grünwald, Teemu Roos:
Minimum Description Length Revisited. - Sasan Barak, Mahdi Nasiri, Mehrdad Rostamzadeh:
Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms. - Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen de Bruijne:
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs. - Paulo F. Jarschel, Jin H. Kim, Louis Biadala, Maxime Berthe, Yannick Lambert, Richard M. Osgood, Gilles Patriarche, Bruno Grandidier, Jimmy Xu:
Single-electron tunneling PbS/InP neuromorphic computing building blocks. - Surjyendu Ray, Bei Jia, Sam Safavi, Tim van Opijnen, Ralph Isberg, Jason Rosch, José Bento:
Exact inference under the perfect phylogeny model. - Honghan Li, Daiki Matsunaga, Tsubasa S. Matsui, Hiroki Aosaki, Shinji Deguchi:
Image based cellular contractile force evaluation with small-world network inspired CNN: SW-UNet. - Zhixiong Yang, Arpita Gang, Waheed U. Bajwa:
Adversary-resilient Inference and Machine Learning: From Distributed to Decentralized. - Kumud Tripathi, K. Sreenivasa Rao:
VOP Detection for Read and Conversation Speech using CWT Coefficients and Phone Boundaries. - Junqing Chen, Ying Liang, Jun Zou:
Mathematical and numerical study of a three-dimensional inverse eddy current problem. - Oliver Braganza:
Economically rational sample-size choice and irreproducibility. - Daniel Kuhn, Peyman Mohajerin Esfahani, Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh:
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning. - Sergey Avvakumov, Roman N. Karasev, Arkadiy Skopenkov:
Stronger counterexamples to the topological Tverberg conjecture. - Christoph Schran, Jörg Behler, Dominik Marx:
Automated Fitting of Neural Network Potentials at Coupled Cluster Accuracy: Protonated Water Clusters as Testing Ground. - PierGianLuca Porta Mana:
A relation between log-likelihood and cross-validation log-scores. - Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka:
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks. - Konstantinos Ntontin, Marco Di Renzo, Jian Song, Fotis I. Lazarakis, Julien de Rosny, Dinh Thuy Phan Huy, Osvaldo Simeone, Rui Zhang, Mérouane Debbah, Geoffroy Lerosey, Mathias Fink, Sergei A. Tretyakov, Shlomo Shamai:
Reconfigurable Intelligent Surfaces vs. Relaying: Differences, Similarities, and Performance Comparison. - Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt:
Increasing the Generalisaton Capacity of Conditional VAEs. - Naci Saldi:
Discrete-time average-cost mean-field games on Polish spaces. - Hao Wu, Ziyu Zhu, Jiayi Wang, Nanning Zheng, Badong Chen:
An encoding framework with brain inner state for natural image identification. - Georgios Karantaidis, Constantine Kotropoulos:
Efficient Capon-Based Approach Exploiting Temporal Windowing For Electric Network Frequency Estimation. - Ángel F. García-Fernández, Lennart Svensson:
Spooky effect in optimal OSPA estimation and how GOSPA solves it. - Ángel F. García-Fernández, Yuxuan Xia, Karl Granström, Lennart Svensson, Jason L. Williams:
Gaussian implementation of the multi-Bernoulli mixture filter. - Luis Vargas, Marcelo Pereyra, Konstantinos C. Zygalakis:
Accelerating proximal Markov chain Monte Carlo by using explicit stabilised methods. - Tran Nhan Tam Quyen:
Convergence analysis and a posteriori error estimates of reduced order solutions for optimal control problem of parameterized Maxwell system. - Marc Górriz, Joseph Antony, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor:
Assessing Knee OA Severity with CNN attention-based end-to-end architectures. - Carla Intal, Taha Yasseri:
Dissent and Rebellion in the House of Commons: A Social Network Analysis of Brexit-Related Divisions in the 57th Parliament. - Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King:
Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR. - Jaynal Abedin, Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor, Dietrich Rebholz-Schuhmann, John Newell:
Predicting knee osteoarthritis severity: comparative modeling based on patient's data and plain X-ray images. - Roy Radian, Or Sattath:
Semi-Quantum Money. - Sunwoo Kim, Mrinmoy Maity, Minje Kim:
Incremental Binarization On Recurrent Neural Networks For Single-Channel Source Separation. - Grzegorz Cisek, Tomasz P. Zielinski:
Frequency-Domain Modeling of OFDM Transmission with Insufficient Cyclic Prefix using Toeplitz Matrices. - Hsin-Yuan Huang, Richard Kueng:
Predicting Features of Quantum Systems using Classical Shadows. - Sahar Yousefi, Lydiane Hirschler, Merlijn van der Plas, Mohamed S. Elmahdy, Hessam Sokooti, Matthias van Osch, Marius Staring:
Fast Dynamic Perfusion and Angiography Reconstruction using an end-to-end 3D Convolutional Neural Network. - Yunong Shi, Xupeng Li, Runzhou Tao, Ali Javadi-Abhari, Andrew W. Cross, Frederic T. Chong, Ronghui Gu:
Contract-based verification of a realistic quantum compiler. - Victor Martins Maimone, Taha Yasseri:
Football is becoming boring; Network analysis of 88 thousands matches in 11 major leagues. - Yi Guo, Mario A. Rotea, Tyler H. Summers:
Stochastic Dynamic Programming for Wind Farm Power Maximization. - Tom Velez, Tony Wang, Ioannis Koutroulis, James Chamberlain, Amit Uppal, Seife Yohannes, Tim Tschampel, Emilia Apostolova:
Identification of Pediatric Sepsis Subphenotypes for Enhanced Machine Learning Predictive Performance: A Latent Profile Analysis. - Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic:
Proximal gradient flow and Douglas-Rachford splitting dynamics: global exponential stability via integral quadratic constraints. - Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang:
Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning. - Xiaoyan Wang, Ran Li, Bowei Yan, Oluwasanmi Koyejo:
Consistent Classification with Generalized Metrics. - Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Andreas M. Loening, Jeanne Shen, James D. Brooks, Curtis P. Langlotz, Daniel L. Rubin:
Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis. - Shujun Bi, Ting Tao, Shaohua Pan:
KL property of exponent 1/2 of 𝓁2, 0-norm and DC regularized factorizations for low-rank matrix recovery. - Felix G. Hamza-Lup, Ionut Emil Iacob, Sushmita Khan:
Web-enabled Intelligent System for Continuous Sensor Data Processing and Visualization. - Weizhu Bao, Xinran Ruan:
Computing ground states of Bose-Einstein Condensates with higher order interaction via a regularized density function formulation. - Takuya Kanazawa, Akinori Asahara, Hidekazu Morita:
Accelerating small-angle scattering experiments with simulation-based machine learning. - Shanshan Wang, Yanxia Chen, Taohui Xiao, Ziwen Ke, Qiegen Liu, Hairong Zheng:
LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset. - Tomasz Wlodarczyk, Szymon Plotka, Tomasz Trzcinski, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Michal Lipa, Jakub Wójcicki:
Estimation of preterm birth markers with U-Net segmentation network. - Albert Ziegler, Pawel Czyz:
Unsupervised Recalibration. - Victor Chernozhukov, Whitney Newey, Vira Semenova:
Inference on weighted average value function in high-dimensional state space. - Sivalogeswaran Ratnasingam:
Deep Camera: A Fully Convolutional Neural Network for Image Signal Processing. - (Withdrawn) Customized OCT images compression scheme with deep neural network.
- Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara:
Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning. - Seyedeh Sepideh Emam, Amy X. Du, Philip Surmanowicz, Simon F. Thomsen, Russ Greiner, Robert Gniadecki:
Predicting the Long-Term Outcomes of Biologics in Psoriasis Patients Using Machine Learning. - Noah Bray-Ali, David Chester, Dugan Hammock, Marcelo M. Amaral, Klee Irwin, Michael F. Rios:
Holographic Code Rate. - Ivan Kobyzev, Simon Prince, Marcus A. Brubaker:
Normalizing Flows: Introduction and Ideas. - Balamurali Murugesan, Vijaya Raghavan S, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam:
Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction. - Gabriel Deza, Shmuel Onn:
Optimization over Degree Sequences of Graphs. - Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Principal Component Analysis Using Structural Similarity Index for Images. - Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Locally Linear Image Structural Embedding for Image Structure Manifold Learning. - Quan-Lin Li, Yi-Meng Li, Jing-Yu Ma, Heng-Li Liu:
A Complete Algebraic Transformational Solution for the Optimal Dynamic Policy in Inventory Rationing across Two Demand Classes. - Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern H. Menze:
Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation. - Ting Ma, Rongchan Zhu:
Convergence rate for Galerkin approximation of the stochastic Allen-Cahn equations on 2D torus. - Kaihan Li, Fatma Benkhelifa, Julie A. McCann:
Resource Allocation for Non-Orthogonal Multiple Access (NOMA) Enabled LPWA Networks. - Benedict J. Leimkuhler, Matthias Sachs, Gabriel Stoltz:
Hypocoercivity properties of adaptive Langevin dynamics. - Sungjun Lim, Sang-Eun Lee, Sunghoe Chang, Jong Chul Ye:
CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry. - Armin Zare, Tryphon T. Georgiou, Mihailo R. Jovanovic:
Stochastic dynamical modeling of turbulent flows. - Nasir Saeed, Ahmed Elzanaty, Heba Almorad, Hayssam Dahrouj, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini:
CubeSat Communications: Recent Advances and Future Challenges. - Ozan Öktem, Camille Pouchol, Olivier Verdier:
Spatiotemporal PET reconstruction using ML-EM with learned diffeomorphic deformation. - Rui Li, Zhibin Pan, Yang Wang, Ping Wang:
A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification. - Christoph Jud, Damien Nguyen, Alina Giger, Robin Sandkühler, Miriam Krieger, Tony Lomax, Rares Salomir, Oliver Bieri, Philippe C. Cattin:
Accelerated Motion-Aware MR Imaging via Motion Prediction from K-Space Center. - Janko Böhm, Michael Joswig, Lars Kastner, Andrew Newman:
Breadth-first search on a Ramanujan graph. - Fehmina Malik, Manjesh Kumar Hanawal, Yezekael Hayel, Jayakrishnan Nair:
Revenue Sharing in the Internet: A Moral Hazard Approach and a Net-neutrality Perspective. - Kumud Tripathi, Mittapalle Kiran Reddy, K. Sreenivasa Rao:
Multilingual and Multimode Phone Recognition System for Indian Languages. - Zihan Liu, Bo Huang, Yuqi Cui, Yifan Xu, Bo Zhang, Lixia Zhu, Yang Wang, Lei Jin, Dongrui Wu:
Multi-Task Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from Time-Lapse Videos. - Yipeng Song:
Fusing heterogeneous data sets. - Alonso Castillo-Ramirez, O. Mata-Gutiérrez, Angel Zaldívar Corichi:
Cellular automata over algebraic structures. - Louis Falissard, Claire Morgand, Sylvie Roussel, Claire Imbaud, Walid Ghosn, Karim Bounebache, Grégoire Rey:
A deep artificial neural network based model for underlying cause of death prediction from death certificates. - Ernest Pusateri, Christophe Van Gysel, Rami Botros, Sameer Badaskar, Mirko Hannemann, Youssef Oualil, Ilya Oparin:
Connecting and Comparing Language Model Interpolation Techniques. - Yunchou Xing, Ojas Kanhere, Shihao Ju, Theodore S. Rappaport:
Indoor Wireless Channel Properties at Millimeter Wave and Sub-Terahertz Frequencies. - Junqing Tang, Hans Rudolf Heinimann, Ke Han, Hanbin Luo, Botao Zhong:
Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model. - Sunwoo Kim, Minje Kim:
Nearest Neighbor Search-Based Bitwise Source Separation Using Discriminant Winner-Take-All Hashing. - Vishal Vaibhav:
Fast Nonlinear Fourier Transform using Chebyshev Polynomials. - Erlei Zhang, Zi Yang, Stephen Seiler, Mingli Chen, Weiguo Lu, Xuejun Gu:
Breast Ultrasound Computer-Aided Diagnosis Using Structure-Aware Triplet Path Networks. - Rashad Eletreby, Osman Yagan:
Secure Connectivity of Heterogeneous Wireless Sensor Networks Under a Heterogeneous On-Off Channel Model. - Xianan Huang, Boqi Li, Huei Peng, Joshua A. Auld, Vadim O. Sokolov:
Eco-Mobility-on-Demand Fleet Control with Ride-Sharing. - Maximilian Pichler, Virginie Boreux, Alexandra-Maria Klein, Matthias Schleuning, Florian Hartig:
Machine learning algorithms to infer trait matching and predict species interactions in ecological networks. - Razvan Diaconescu:
Introducing H, an institution-based formal specification and verification language. - Marc Górriz, Marta Mrak, Alan F. Smeaton, Noel E. O'Connor:
End-to-End Conditional GAN-based Architectures for Image Colourisation. - Jonathan Johannemann, Vitor Hadad, Susan Athey, Stefan Wager:
Sufficient Representations for Categorical Variables. - Emily Breza, Arun G. Chandrasekhar, Tyler H. McCormick, Mengjie Pan:
Consistently estimating graph statistics using Aggregated Relational Data. - Sohail Bahmani, Justin Romberg:
Convex Programming for Estimation in Nonlinear Recurrent Models. - Brenner S. Rego, Guilherme V. Raffo, Joseph K. Scott, Davide Martino Raimondo:
Guaranteed methods based on constrained zonotopes for set-valued state estimation of nonlinear discrete-time systems. - David Gamarnik, Aukosh Jagannath, Subhabrata Sen:
The Overlap Gap Property in Principal Submatrix Recovery. - Tim Coleman, Kimberly Kaufeld, Mary Frances Dorn, Lucas Mentch:
Locally Optimized Random Forests. - Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu:
Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. - Adam Hamilton, Giang T. Nguyen, Matthew Roughan:
Counting Candy Crush Configurations. - Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang:
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. - Bibhas Adhikari, Amrik Singh, Sandeep Kumar Yadav:
Corona product of signed graphs and its application to signed network modelling. - Seyed Hossein Jafari, Amir Mahdi Abdolhosseini-Qomi, Maseud Rahgozar, Masoud Asadpour, Naser Yazdani:
SimBins - An Information-Theoretic Approach to Link Prediction in Real Multiplex Networks. - Jiahua Xu, Ziyuan Luo, Wei Zhou, Wenyuan Zhang, Zhibo Chen:
Quality Assessment of Stereoscopic 360-degree Images from Multi-viewports. - Ziyuan Luo, Wei Zhou, Likun Shi, Zhibo Chen:
No-Reference Light Field Image Quality Assessment Based on Micro-Lens Image. - Xueyi Wang, Lantian Li, Dong Wang:
VAE-based Domain Adaptation for Speaker Verification. - Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers, Nurul Hashimah Ahamed Hassain Malim, Basma Abdulaimma, Denis Reilly, Francesco Falciani:
SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity. - Yue Hu, Dan Work:
Robust Tensor Recovery with Fiber Outliers for Traffic Events. - Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph N. Stember, Jonathan Shoag, Ulas Bagci, Sachin Jambawalikar:
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans. - Sámuel G. Balogh, Dániel Zagyva, Péter Pollner, Gergely Palla:
Time evolution of the hierarchical networks between PubMed MeSH terms. - Bo Li, Marius de Groot, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen, Esther Bron:
Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset. - Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, Mohammad Arfan Ikram, Meike W. Vernooij, Esther Bron:
A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes. - Zeinab Mahmoudi, Dimitri Boiroux, Tobias K. S. Ritschel, John Bagterp Jørgensen:
Filtering and Prediction of the Blood Glucose Concentration using an Android Smart Phone and a Continuous Glucose Monitor. - Hessam Sokooti, Bob D. de Vos, Floris F. Berendsen, Mohsen Ghafoorian, Sahar Yousefi, Boudewijn P. F. Lelieveldt, Ivana Isgum, Marius Staring:
3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations. - Robert O'Shea:
Model Selection With Graphical Neighbour Information. - Xin Wang, Junichi Yamagishi:
Neural Harmonic-plus-Noise Waveform Model with Trainable Maximum Voice Frequency for Text-to-Speech Synthesis. - Sen Deng, Mingqiang Wei, Jun Wang, Luming Liang, Haoran Xie, Meng Wang:
DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks. - Santi Puch, Irina Sánchez, Aura Hernández, Gemma Piella, Vesna Prchkovska:
Global Planar Convolutions for improved context aggregation in Brain Tumor Segmentation. - Serge Richard, Qiwen Sun:
Analysis on MathSciNet database: some preliminary results. - Daniele Calandriello, Lorenzo Rosasco:
Statistical and Computational Trade-Offs in Kernel K-Means. - Tengyuan Liang, Alexander Rakhlin, Xiyu Zhai:
On the Risk of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels. - Kun Qian, Abduallah A. Mohamed, Christian G. Claudel:
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development. - Merlinda Andoni, Valentin Robu, Wolf-Gerrit Früh, David Flynn:
Game-theoretic modeling of curtailment rules and network investments with distributed generation. - Tengyuan Liang:
On the Minimax Optimality of Estimating the Wasserstein Metric. - Ziqi Wang, Marco Broccardo:
A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis. - Long Jiao, Ning Wang, Pu Wang, Amir Alipour-Fanid, Jie Tang, Kai Zeng:
Physical Layer Key Generation in 5G Wireless Networks. - Rishit Sheth, Nicoló Fusi:
Feature Gradients: Scalable Feature Selection via Discrete Relaxation. - Esteban Samaniego, Cosmin Anitescu, Somdatta Goswami, Vien Minh Nguyen-Thanh, Hongwei Guo, Khader Hamdia, Timon Rabczuk, Xiaoying Zhuang:
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications. - Marcelo V. Maciel, André C. R. Martins:
Ideologically Motivated Biases in a Multiple Issues Opinion Model. - Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, Jeffrey N. Chiang, Zhihao Wu, Xiaowei Ding:
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation. - Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Clement Vachet, Tolga Tasdizen:
Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays. - Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan:
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. - Tyler W. Hughes, Ian A. D. Williamson, Momchil Minkov, Shanhui Fan:
Forward-Mode Differentiation of Maxwell's Equations. - Yanyan Wei, Zhao Zhang, Haijun Zhang, Richang Hong, Meng Wang:
A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining. - Jacob A. George, Tyler S. Davis, Mark R. Brinton, Gregory A. Clark:
Intuitive Neuromyoelectric Control of a Dexterous Bionic Arm Using a Modified Kalman Filter. - Yuege Xie, Xiaoxia Wu, Rachel A. Ward:
Linear Convergence of Adaptive Stochastic Gradient Descent. - Rishi Advani:
On the Prevalence of Bridge Graphs Among Non-3-Connected Cubic Non-Hamiltonian Graphs. - Gang Xu, Zhigang Song, Zhuo Sun, Calvin Ku, Zhe Yang, Cancheng Liu, Shuhao Wang, Jianpeng Ma, Wei Xu:
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation. - Andrea Bacigalupo, Giorgio Gnecco, Marco Lepidi, Luigi Gambarotta:
Machine-learning techniques for the optimal design of acoustic metamaterials. - Waleed A. Yousef, Ahmed A. Abouelkahire, Deyaaeldeen Almahallawi, Omar S. Marzouk, Sameh K. Mohamed, Waleed A. Mustafa, Omar M. Osama, Ali A. Saleh, Naglaa M. Abdelrazek:
Method and System for Image Analysis to Detect Cancer. - Timo Bröhl, Klaus Lehnertz:
Centrality-based identification of important edges in complex networks. - Tuan Anh Nguyen:
A Liouville principle for the random conductance model under degenerate conditions. - Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang:
Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes. - Takaaki Matsuo:
Simulation of a Dynamic, RuleSet-based Quantum Network. - Matthieu Lerasle:
Lecture Notes: Selected topics on robust statistical learning theory. - Frank Zijlstra, Max A. Viergever, Peter R. Seevinck:
SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventions. - Haoqian Li, Thomas Lau:
Reinforcement Learning: Prediction, Control and Value Function Approximation. - Qing Qu, Xiao Li, Zhihui Zhu:
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution. - Florian Pfisterer, Stefan Coors, Janek Thomas, Bernd Bischl:
Multi-Objective Automatic Machine Learning with AutoxgboostMC. - Tong Zhang, Laurence H. Jackson, Alena Uus, James R. Clough, Lisa Story, Mary A. Rutherford, Joseph V. Hajnal, Maria Deprez:
Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging. - Scott Aaronson, Patrick Rall:
Quantum Approximate Counting, Simplified. - Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Transfer Learning from Partial Annotations for Whole Brain Segmentation. - Wenlong Mou, Yi-An Ma, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan:
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm. - Bo Wang, Wen Zhong Zhang, Wei Cai:
Fast multipole method for 3-D Laplace equation in layered media. - Jason Shuo Zhang, Chenhao Tan, Qin Lv:
Intergroup Contact in the Wild: Characterizing Language Differences between Intergroup and Single-group Members in NBA-related Discussion Forums. - James Smith:
Eliminating Left Recursion without the Epsilon. - Stephan Baier:
Analyzing Customer Feedback for Product Fit Prediction. - Anier Soria-Lorente, E. Pérez-Michel, Ernesto Avila-Domenech:
A steganographic approach based on the chaotic fractional map and in the DCT domain. - Greg Castañón, Nathan Shnidman, Tim Anderson, Jeffrey Byrne:
Out the Window: A Crowd-Sourced Dataset for Activity Classification in Surveillance Video. - (Withdrawn) DFPENet-geology: A Deep Learning Framework for High Precision Recognition and Segmentation of Co-seismic Landslides.
- Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher J. Pal, Yoshua Bengio, Adam Trischler:
Interactive Language Learning by Question Answering. - Jingjing Li, Wenlu Wang, Wei-Shinn Ku, Yingtao Tian, Haixun Wang:
SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension. - Guan-Horng Liu, Evangelos A. Theodorou:
Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective. - Gregory Kiar, Pablo de Oliveira Castro, Pierre Rioux, Eric Petit, Shawn T. Brown, Alan C. Evans, Tristan Glatard:
Comparing Perturbation Models for Evaluating Stability of Post-Processing Pipelines in Neuroimaging. - Yuanliang Meng, Anna Rumshisky:
Solving Math Word Problems with Double-Decoder Transformer. - Vít Sefl:
Performance Analysis of Zippers. - Maruti Kumar Mudunuru, Satish Karra:
Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing. - John K. Tsotsos, Iuliia Kotseruba, Alexander Andreopoulos, Yulong Wu:
A Possible Reason for why Data-Driven Beats Theory-Driven Computer Vision. - Vishwanath A. Sindagi, Vishal M. Patel:
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting. - Wei Wang, Ye Tian, Jiquan Ngiam, Yinfei Yang, Isaac Caswell, Zarana Parekh:
Learning a Multitask Curriculum for Neural Machine Translation. - Yipu Wang:
The Single-Face Ideal Orientation Problem in Planar Graphs. - William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy:
Immutable Log Storage as a Service. - Fidel A. Guerrero-Peña, Pedro D. Marrero-Fernández, Tsang Ing Ren, Germano Crispim Vasconcelos, Alexandre Cunha:
A Multiple Source Hourglass Deep Network for Multi-Focus Image Fusion. - Binxuan Huang, Kathleen M. Carley:
A Large-Scale Empirical Study of Geotagging Behavior on Twitter. - Isaac L. Johnson, Allen Yilun Lin, Toby Jia-Jun Li, Andrew Hall, Aaron Halfaker, Johannes Schöning, Brent J. Hecht:
Not at Home on the Range: Peer Production and the Urban/Rural Divide. - Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee:
Optimal transport mapping via input convex neural networks. - Siddharth Samsi, Christopher J. Mattioli, Mark S. Veillette:
Distributed Deep Learning for Precipitation Nowcasting. - Zhe Zhang, Munindar P. Singh:
Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery. - Fernando N. N. Farias, Antônio de O. Junior, Leonardo B. da Costa, Billy Anderson Pinheiro, Antônio J. G. Abelém:
vSDNEmul: A Software-Defined Network Emulator Based on Container Virtualization. - Yan Jiang, Richard Pates, Enrique Mallada:
Dynamic Droop Control in Low-inertia Power Systems. - Tara N. Sainath, Ruoming Pang, David Rybach, Yanzhang He, Rohit Prabhavalkar, Wei Li, Mirkó Visontai, Qiao Liang, Trevor Strohman, Yonghui Wu, Ian McGraw, Chung-Cheng Chiu:
Two-Pass End-to-End Speech Recognition. - Deyan Ginev, Bruce R. Miller:
Scientific Statement Classification over arXiv.org. - Yanxiang Gong, Linjie Deng, Xinchen Lu, Xin Yi, Zheng Ma, Mei Xie:
Focus-Enhanced Scene Text Recognition with Deformable Convolutions. - Kanglin Liu, Wenming Tang, Fei Zhou, Guoping Qiu:
Spectral Regularization for Combating Mode Collapse in GANs. - Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Neural Snowball for Few-Shot Relation Learning. - Nicholas Charles Patterson, Michael Hobbs, Frank Jiang, Lei Pan:
Cyber security insights into self-proclaimed virtual world hackers. - Chencheng Ye, Ying Cui:
Stochastic Successive Convex Approximation for General Stochastic Optimization Problems. - (Withdrawn) A Joint Model for Aspect-Category Sentiment Analysis with Contextualized Aspect Embedding.
- Nora Kenworthy, Zhihang Dong, Anne Montgomery, Emily Fuller, Lauren Berliner:
A cross-sectional study of social inequities in medical crowdfunding campaigns in the United States. - Xintong Li, Lemao Liu, Rui Wang, Guoping Huang, Max Meng:
Regularized Context Gates on Transformer for Machine Translation. - Dae Ha Kim, Seung Hyun Lee, Byung Cheol Song:
Metric-based Regularization and Temporal Ensemble for Multi-task Learning using Heterogeneous Unsupervised Tasks. - Zhiliang Zeng, Xianzhi Li, Ying Kin Yu, Chi-Wing Fu:
Deep Floor Plan Recognition Using a Multi-Task Network with Room-Boundary-Guided Attention. - Xin Wen, Zhizhong Han, Xinhai Liu, Yu-Shen Liu:
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules. - Evan Crothers, Nathalie Japkowicz, Herna L. Viktor:
Towards Ethical Content-Based Detection of Online Influence Campaigns. - Maolin Che, Yimin Wei, Hong Yan:
Randomized algorithms for the low multilinear rank approximations of tensors. - Jinlong Chai, Jiangeng Chang, Yakun Zhao, Honggang Liu:
An Auto-ML Framework Based on GBDT for Lifelong Learning. - Jonathan Jakes-Schauer, David Anekstein, Pawel Wocjan:
Carving-width and contraction trees for tensor networks. - Yonghao Dang, Fuxing Yang, Jianqin Yin:
DWnet: Deep-Wide Network for 3D Action Recognition. - Ye Hu, Mingzhe Chen, Walid Saad:
Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach. - Ngoc-Trung Tran, Fakhr-Eddine Ababsa, Maurice Charbit, Jacques Feldmar, Dijana Petrovska-Delacrétaz, Gérard Chollet:
3D Face Pose and Animation Tracking via Eigen-Decomposition based Bayesian Approach. - Xiangyu Xu, Enrique Dunn:
Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction. - Peng-Hsuan Li, Tsu-Jui Fu, Wei-Yun Ma:
Remedying BiLSTM-CNN Deficiency in Modeling Cross-Context for NER. - Swabha Swayamdipta, Matthew E. Peters, Brendan Roof, Chris Dyer, Noah A. Smith:
Shallow Syntax in Deep Water. - Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung:
Multilingual and Multi-Aspect Hate Speech Analysis. - Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou:
Zero-shot Text-to-SQL Learning with Auxiliary Task. - Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu:
Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering. - Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl, Paolo Cremonesi:
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. - Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang:
A Deep Neural Information Fusion Architecture for Textual Network Embeddings. - Hong-Seok Lee, Youngmin Yoon, Pil-Hoon Jang, Chankyu Choi:
PopEval: A Character-Level Approach to End-To-End Evaluation Compatible with Word-Level Benchmark Dataset. - Jiquan Ngiam, Benjamin Caine, Wei Han, Brandon Yang, Yuning Chai, Pei Sun, Yin Zhou, Xi Yi, Ouais Alsharif, Patrick Nguyen, Zhifeng Chen, Jonathon Shlens, Vijay Vasudevan:
StarNet: Targeted Computation for Object Detection in Point Clouds. - Aaron Sidford, Mengdi Wang, Lin F. Yang, Yinyu Ye:
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity. - Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen:
Document Hashing with Mixture-Prior Generative Models. - Rui Guo, Ronghua Liu, Na Li, Wei Liu:
DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite Images. - Vinh Ho-Huu, S. Hartjes, Hendrikus G. Visser, Richard Curran:
An optimization framework for route design and allocation of aircraft to multiple departure routes. - Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness. - Dong Lao, Ganesh Sundaramoorthi:
Minimum Delay Object Detection From Video. - Masahiro Kamimura, Naoto Yanai, Shingo Okamura, Jason Paul Cruz:
Key-Aggregate Searchable Encryption, Revisited: Formal Foundations for Cloud Applications, and Their Implementation. - Lloyd N. Trefethen:
Quantifying the ill-conditioning of analytic continuation. - Sergio Antoy, Michael Hanus, Andy Jost, Steven Libby:
ICurry. - Juan Carlos Saenz-Carrasco:
FunSeqSet: Towards a Purely Functional Data Structure for the Linearisation Case of Dynamic Trees Problem. - Christian Joppi, Marco Godi, Andrea Giachetti, Fabio Pellacini, Marco Cristani:
Texture Retrieval in the Wild through detection-based attributes. - Maarten Schellevis:
Improving Self-Supervised Single View Depth Estimation by Masking Occlusion. - Carmen D'Andrea, Alessio Zappone, Stefano Buzzi, Mérouane Debbah:
Uplink power control in cell-free massive MIMO via deep learning. - Jindrich Libovický, Pranava Madhyastha:
Probing Representations Learned by Multimodal Recurrent and Transformer Models. - Marco Godi, Christian Joppi, Andrea Giachetti, Fabio Pellacini, Marco Cristani:
Texel-Att: Representing and Classifying Element-based Textures by Attributes. - Mohammad Noormohammadpour:
On Efficient Data Transfers Across Geographically Dispersed Datacenters. - Marcos Cramer, Zohreh Baniasadi, Pieter Van Hertum:
Technical report of "The Knowledge Base Paradigm Applied to Delegation Revocation". - Jana Kittelmann, Christoph Wernhard:
KBSET - Knowledge-Based Support for Scholarly Editing and Text Processing. - Christoph Wernhard:
PIE - Proving, Interpolating and Eliminating on the Basis of First-Order Logic. - Serena Crisci, Michele Piana, Valeria Ruggiero, Mara Scussolini:
Computational approaches for parametric imaging of dynamic PET data. - Rahul Aralikatte, Matthew Lamm, Daniel Hardt, Anders Søgaard:
Ellipsis and Coreference Resolution as Question Answering. - Baltasar Trancón y Widemann, Markus Lepper:
Improving the Performance of the Paisley Pattern-Matching EDSL by Staged Combinatorial Compilation. - Christian Priebe, Divya Muthukumaran, Joshua Lind, Huanzhou Zhu, Shujie Cui, Vasily A. Sartakov, Peter R. Pietzuch:
SGX-LKL: Securing the Host OS Interface for Trusted Execution. - Jinchi Chen, Xiaxia Wang, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu:
Towards More Usable Dataset Search: From Query Characterization to Snippet Generation. - Gokulnath Thandavarayan, Miguel Sepulcre, Javier Gozálvez:
Generation of Cooperative Perception Messages for Connected and Automated Vehicles. - Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni, Haggai Roitman, Doron Cohen, Bar Weiner, Yosi Mass, Or Rivlin, Guy Lev, Achiya Jerbi, Jonathan Herzig, Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, David Konopnicki:
A Summarization System for Scientific Documents. - Mariam Farda-Sarbas, Claudia Müller-Birn:
Wikidata from a Research Perspective - A Systematic Mapping Study of Wikidata. - Hermann Blum, Silvan Rohrbach, Marija Popovic, Luca Bartolomei, Roland Siegwart:
Active Learning for UAV-based Semantic Mapping. - Javier Cózar, Rafael Cabañas, Andrés R. Masegosa, Antonio Salmerón:
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy. - Tom Hirschowitz:
Cellular Monads from Positive GSOS Specifications. 1-18 - Shoya Kawakami:
A discretization of O'Hara's knot energy and its convergence. - Danny Weyns, M. Usman Iftikhar:
ActivFORMS: A Model-Based Approach to Engineer Self-Adaptive Systems. - Félix A. Miranda-Villatoro, Fulvio Forni, Rodolphe Sepulchre:
Dissipativity analysis of negative resistance circuits. - Xiaohan Yang, Qingyin Ge:
A Concert-planning Tool for Independent Musicians by Machine Learning Models. - Can Fahrettin Koyuncu, Gozde Nur Gunesli, Rengül Çetin-Atalay, Cigdem Gunduz Demir:
DeepDistance: A Multi-task Deep Regression Model for Cell Detection in Inverted Microscopy Images. - Ben Bogin, Matt Gardner, Jonathan Berant:
Global Reasoning over Database Structures for Text-to-SQL Parsing. - Jan-Nico Zaech, Dengxin Dai, Martin Hahner, Luc Van Gool:
Texture Underfitting for Domain Adaptation. - Alexandre Garcia, Pierre Colombo, Slim Essid, Florence d'Alché-Buc, Chloé Clavel:
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining. - (Withdrawn) Environment Sound Classification using Multiple Feature Channels and Deep Convolutional Neural Networks.
- Paolo Testolina, Mattia Lecci, Mattia Rebato, Alberto Testolin, Jonathan Gambini, Roberto Flamini, Christian Mazzucco, Michele Zorzi:
Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design. - Sunbeom So, Myungho Lee, Jisu Park, Heejo Lee, Hakjoo Oh:
VeriSmart: A Highly Precise Safety Verifier for Ethereum Smart Contracts. - Bang Wu, Xiangwen Yang, Shuo Wang, Xingliang Yuan, Cong Wang, Carsten Rudolph:
Defending Against Misclassification Attacks in Transfer Learning. - Benjamin Peherstorfer:
Sampling low-dimensional Markovian dynamics for pre-asymptotically recovering reduced models from data with operator inference. - Xinyu Yang, Majid Mirmehdi, Tilo Burghardt:
Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending. - Luca Heltai, Alfonso Caiazzo:
Multiscale modeling of vascularized tissues via non-matching immersed methods. - Josef Malík, Ondrej Suchý, Tomás Valla:
Efficient Implementation of Color Coding Algorithm for Subgraph Isomorphism Problem. - Mayank Sharma, Suraj Tripathi, Abhimanyu Dubey, Jayadeva, Sai Guruju, Nihal Goalla:
Smaller Models, Better Generalization. - Jonas Pfeiffer, Christian M. Meyer, Claudia Schulz, Jan Kiesewetter, Jan M. Zottmann, Michael Sailer, Elisabeth Bauer, Frank Fischer, Martin R. Fischer, Iryna Gurevych:
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning. - Pardis Kavand, Ali Mohades, Mohammad Reza Kazemi:
A Time-space Trade-off for Computing the Geodesic Center of a Simple Polygon. - Dogancan Temel, Min-Hung Chen, Ghassan AlRegib:
Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics. - Angelo Garofalo, Manuele Rusci, Francesco Conti, Davide Rossi, Luca Benini:
PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors. - David Schlangen:
Grounded Agreement Games: Emphasizing Conversational Grounding in Visual Dialogue Settings. - Beniamino Accattoli, Claudia Faggian, Giulio Guerrieri:
Factorization and Normalization, Essentially. - Simon Martiel, Maxime Remaud:
Practical implementation of a quantum backtracking algorithm. - Domenico Cotroneo, Luigi De Simone, Antonio Ken Iannillo, Roberto Natella, Stefano Rosiello, Nematollah Bidokhti:
Analyzing the Context of Bug-Fixing Changes in the OpenStack Cloud Computing Platform. - Tao Wen, Yong Deng:
Identification of influencers in complex networks by local information dimension. - Denis Newman-Griffis, Eric Fosler-Lussier:
HARE: a Flexible Highlighting Annotator for Ranking and Exploration. - Yoshiaki Bando, Yoko Sasaki, Kazuyoshi Yoshii:
Deep Bayesian Unsupervised Source Separation Based on a Complex Gaussian Mixture Model. - Yasin Yazicioglu, Waseem Abbas, Mudassir Shabbir:
Structural Robustness to Noise in Consensus Networks: Impact of Degrees and Distances, Fundamental Limits, and Extremal Graphs. - Radu Sibechi, Olaf Booij, Nora Baka, Peter Bloem:
Exploiting Temporality for Semi-Supervised Video Segmentation. - Koustav Ghosal, Aakanksha Rana, Aljosa Smolic:
Aesthetic Image Captioning From Weakly-Labelled Photographs. - Rafail Ismayilov, Bernd Holfeld, Renato L. G. Cavalcante, Megumi Kaneko:
Power and Beam Optimization for Uplink Millimeter-Wave Hotspot Communication Systems. - Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng:
Variational Denoising Network: Toward Blind Noise Modeling and Removal. - Bristena Oprisanu, Christophe Dessimoz, Emiliano De Cristofaro:
How Much Does GenoGuard Really "Guard"? An Empirical Analysis of Long-Term Security for Genomic Data. - Hongxiao Bai, Hai Zhao, Junhan Zhao:
Memorizing All for Implicit Discourse Relation Recognition. - Mauro Franceschelli, Alessandro Pilloni, Andrea Gasparri:
Multi-Agent Coordination of Thermostatically Controlled Loads by Smart Power Sockets for Electric Demand Side Management. - Qingyao Ai, Daniel N. Hill, S. V. N. Vishwanathan, W. Bruce Croft:
A Zero Attention Model for Personalized Product Search. - Ning Zhang, Dechun Wang, Xinzi Sun, Pengfei Zhang, Chenxi Zhang, Yu Cao, Benyuan Liu:
3D Anchor-Free Lesion Detector on Computed Tomography Scans. - Angel Daza, Anette Frank:
Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling. - Atiye Alaeddini, Kristi A. Morgansen, Mehran Mesbahi:
Augmented State Feedback for Improving Observability of Linear Systems with Nonlinear Measurements. - Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris:
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. - Xin Zhong, Frank Y. Shih:
A Robust Image Watermarking System Based on Deep Neural Networks. - Junde Wu, Rao Fu:
Universal, transferable and targeted adversarial attacks. - Ilias Diakonikolas, Daniel M. Kane, Pasin Manurangsi:
Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin. - Haitao Wang, Zhengqiu He, Tong Zhu, Hao Shao, Wenliang Chen, Min Zhang:
CCKS 2019 Shared Task on Inter-Personal Relationship Extraction. - Tao B. Schardl, Siddharth Samsi:
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir. - Sergei O. Kuznetsov:
Ordered Sets for Data Analysis. - Alex Shkotin:
Quantifiers metamorphoses. Generalizations, variations, algorithmic semantics. - Martin Avanzini, Michael Schaper, Georg Moser:
Modular Runtime Complexity Analysis of Probabilistic While Programs. - Xiangyang He, Yubo Tao, Qirui Wang, Hai Lin:
Multivariate Spatial Data Visualization: A Survey. - Marius Bozga, Radu Iosif, Joseph Sifakis:
Local Reasoning about Parametric and Reconfigurable Component-based Systems. - Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey and Benchmarking of Machine Learning Accelerators. - Piyawat Lertvittayakumjorn, Francesca Toni:
Human-grounded Evaluations of Explanation Methods for Text Classification. - Badih Ghazi, Noah Golowich, Ravi Kumar, Rasmus Pagh, Ameya Velingker:
Private Heavy Hitters and Range Queries in the Shuffled Model. - Tim Lyon, Kees van Berkel:
Automating Agential Reasoning: Proof-Calculi and Syntactic Decidability for STIT Logics. - Biao Zhang, Ivan Titov, Rico Sennrich:
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention. - Karim Banawan, Batuhan Arasli, Sennur Ulukus:
Improved Storage for Efficient Private Information Retrieval. - Salonik Resch, S. Karen Khatamifard, Zamshed Iqbal Chowdhury, Masoud Zabihi, Zhengyang Zhao, Jianping Wang, Sachin S. Sapatnekar, Ulya R. Karpuzcu:
A Machine Learning Accelerator In-Memory for Energy Harvesting. - Sébastien Bouchard, Yoann Dieudonné, Andrzej Pelc:
Want to Gather? No Need to Chatter! - Xi C. Chen, Adithya Sagar, Justine T. Kao, Tony Y. Li, Christopher Klein, Stephen Pulman, Ashish Garg, Jason D. Williams:
Active Learning for Domain Classification in a Commercial Spoken Personal Assistant. - Linchao Zhu, Sercan Ömer Arik, Yi Yang, Tomas Pfister:
Learning to Transfer Learn. - Utkarsh Mall, Kevin Matzen, Bharath Hariharan, Noah Snavely, Kavita Bala:
GeoStyle: Discovering Fashion Trends and Events. - Oscar Mickelin, Sertac Karaman:
Multi-resolution Low-rank Tensor Formats. - Zelun Wang, Jyh-Charn Liu:
Translating Mathematical Formula Images to LaTeX Sequences Using Deep Neural Networks with Sequence-level Training. - Yücel Altug, Aaron B. Wagner:
On exact asymptotics of the error probability in channel coding: symmetric channels. - John P. Lalor, Hao Wu, Hong Yu:
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds. - Sameer Bansal, Herman Kamper, Adam Lopez, Sharon Goldwater:
Classifying topics in speech when all you have is crummy translations. - Aaron B. Wagner, Nirmal V. Shende, Yücel Altug:
A New Method for Employing Feedback to Improve Coding Performance. - Yuxing Ma, Audris Mockus, Russell Zaretzki, Randy V. Bradley, Bogdan C. Bichescu:
A Methodology for Analyzing Uptake of Software Technologies Among Developers. - Dou Goodman, Xingjian Li, Ji Liu, Dejing Dou, Tao Wei:
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing. - Steven Derby, Paul Miller, Barry Devereux:
Feature2Vec: Distributional semantic modelling of human property knowledge. - Anna Rogers, Gregory Smelkov, Anna Rumshisky:
NarrativeTime: Dense High-Speed Temporal Annotation on a Timeline. - Chuong Nguyen, Xiaoying Zhuang, Ludovic Chamoin, Hung Nguyen-Xuan, Xianzhong Zhao, Timon Rabczuk:
Three-dimensional topology optimization of auxetic metamaterial using isogeometric analysis and model order reduction. - Siqi Wang, Anuj Pathania, Tulika Mitra:
Neural Network Inference on Mobile SoCs. - Mahnaz Sadat Qafari, Wil M. P. van der Aalst:
Fairness-Aware Process Mining. - Lee DeVille, Eugene Lerman, James Schmidt:
Runge-Kutta and Networks. - Giorgia Pitteri, Slobodan Ilic, Vincent Lepetit:
CorNet: Generic 3D Corners for 6D Pose Estimation of New Objects without Retraining. - Gorm Lai, Kai Erenli, Foaad Khosmood, William H. Latham:
Introducing: The Game Jam License. - Andrea Bonito, Alan Demlow, Martin W. Licht:
A divergence-conforming finite element method for the surface Stokes equation. - Liu Yang, George E. Karniadakis:
Potential Flow Generator with $L_2$ Optimal Transport Regularity for Generative Models. - Jean Mercat, Nicole El Zoghby, Guillaume Sandou, Dominique Beauvois, Guillermo Pita Gil:
Inertial Single Vehicle Trajectory Prediction Baselines and Applications with the NGSIM Dataset. - Ruiqi Zhong, Yanda Chen, Desmond Patton, Charlotte Selous, Kathy McKeown:
Detecting and Reducing Bias in a High Stakes Domain. - Kevin Carlberg, Sofia Guzzetti, Mohammad Khalil, Khachik Sargsyan:
The network uncertainty quantification method for propagating uncertainties in component-based systems. - Hamidreza Tavafoghi, Kameshwar Poolla, Pravin Varaiya:
A Queuing Approach to Parking: Modeling, Verification, and Prediction. - Hugh Perkins, Yi Yang:
Dialog Intent Induction with Deep Multi-View Clustering. - Peng Zhang, Linqing Tang:
Minimum Label s-t Cut has Large Integrality Gaps. - Jingbin Liu, Xinyang Gu, Dexiang Zhang, Shuai Liu:
High efficiency rl agent. - Manoj Muniswamaiah, Charles C. Tappert:
Mobile Cloud Computing in Healthcare Using Dynamic Cloudlets for Energy-Aware Consumption. - Chenrui Zhang, Xiaoqing Lyu, Zhi Tang:
TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning. - Lan Xu, Weipeng Xu, Vladislav Golyanik, Marc Habermann, Lu Fang, Christian Theobalt:
EventCap: Monocular 3D Capture of High-Speed Human Motions using an Event Camera. - Shuailiang Zhang, Hai Zhao, Yuwei Wu, Zhuosheng Zhang, Xi Zhou, Xiang Zhou:
DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension. - Haochen Chen, Syed Fahad Sultan, Yingtao Tian, Muhao Chen, Steven Skiena:
Fast and Accurate Network Embeddings via Very Sparse Random Projection. - Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu:
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations. - Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang:
Adversarial Training Methods for Network Embedding. - Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Ninghui Li, Somesh Jha:
Practical and Robust Privacy Amplification with Multi-Party Differential Privacy. - Yang Li, Shengbin Meng, Xinfeng Zhang, Shiqi Wang, Yue Wang, Siwei Ma:
UGC-VIDEO: perceptual quality assessment of user-generated videos. - Huajie Chen, Deng Cai, Wei Dai, Zehui Dai, Yadong Ding:
Charge-Based Prison Term Prediction with Deep Gating Network. - Junru Zhou, Zuchao Li, Hai Zhao:
Parsing All: Syntax and Semantics, Dependencies and Spans. - Lironne Kurzman, David Vázquez, Issam H. Laradji:
Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation. - Yuchao Dai, Zhidong Zhu, Zhibo Rao, Bo Li:
MVS2: Deep Unsupervised Multi-view Stereo with Multi-View Symmetry. - Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen:
Implicit Deep Latent Variable Models for Text Generation. - Byeongmoon Ji, Hyemin Jung, Jihyeun Yoon, Kyungyul Kim, Younghak Shin:
Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques. - Hiroki Furue, Hiroshi Hirai:
On a weighted linear matroid intersection algorithm by deg-det computation. - Mohit Bansil, Jun Kitagawa:
A Newton algorithm for semi-discrete optimal transport with storage fees and quantitative convergence of cells. - Nan Du, Mingqiu Wang, Linh Tran, Gang Li, Izhak Shafran:
Learning to Infer Entities, Properties and their Relations from Clinical Conversations. - Rourab Paul, Nimisha Ghosh, Suman Sau, Amlan Chakrabarti, Prasant Mahapatra:
IoT based Smart Access Controlled Secure Smart City Architecture Using Blockchain. - Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander F. Gelbukh:
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation. - Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin:
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. - Lei Shu, Hu Xu, Bing Liu, Piero Molino:
Modeling Multi-Action Policy for Task-Oriented Dialogues. - Junyi Zou, Jinliang Zhang, Ludi Wang:
Handwritten Chinese Character Recognition by Convolutional Neural Network and Similarity Ranking. - Gabriele D'Angelo, Stefano Ferretti, Gary S. H. Tan:
Internet-based Adaptive Distributed Simulation of Mobile Ad-hoc Networks. - Junyi Zou, Jinliang Zhang, Ping Jiang:
Credit Card Fraud Detection Using Autoencoder Neural Network. - Tesshu Hanaka, Hironori Kiya, Yasuhide Maei, Hirotaka Ono:
Computational Complexity of Hedonic Games on Sparse Graphs. - Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si, Xiaozhong Liu:
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation. - Jessica McBroom, Irena Koprinska, Kalina Yacef:
A Survey of Automated Programming Hint Generation - The HINTS Framework. - Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen:
Graph Convolutional Networks for Road Networks. - Aastha Mehta, Mohamed Alzayat, Roberta De Viti, Björn B. Brandenburg, Peter Druschel, Deepak Garg:
Pacer: Network Side-Channel Mitigation in the Cloud. - Arnab Kumar Mondal, Aniket Agarwal, Jose Dolz, Christian Desrosiers:
Revisiting CycleGAN for semi-supervised segmentation. - Linlin Liu, Xiang Lin, Shafiq R. Joty, Simeng Han, Lidong Bing:
Hierarchical Pointer Net Parsing. - Richard Elvira, Juan D. Tardós, J. M. M. Montiel:
ORBSLAM-Atlas: a robust and accurate multi-map system. - Sungho Lee, Seoung Wug Oh, DaeYeun Won, Seon Joo Kim:
Copy-and-Paste Networks for Deep Video Inpainting. - Chang Liu, Yi Dong, Han Yu, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Generating Persuasive Visual Storylines for Promotional Videos. - Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi:
Some SonarQube Issues have a Significant but SmallEffect on Faults and Changes. A large-scale empirical study. - Anton Batliner, Stefan Steidl, Florian Eyben, Björn W. Schuller:
On Laughter and Speech-Laugh, Based on Observations of Child-Robot Interaction. - Pieter H. Hartel, Ivan Homoliak, Daniël Reijsbergen:
An Empirical Study into the Success of Listed Smart Contracts in Ethereum. - Adam Richardson, Aris Filos-Ratsikas, Boi Faltings:
Rewarding High-Quality Data via Influence Functions. - Isabelle van der Vegt, Maximilian Mozes, Paul Gill, Bennett Kleinberg:
Online influence, offline violence: Linguistic responses to the 'Unite the Right' rally. - Xudong Xu, Bo Dai, Dahua Lin:
Recursive Visual Sound Separation Using Minus-Plus Net. - Miao Zhang, Kanapathippillai Cumanan, Jeyarajan Thiyagalingam, Wei Wang, Alister G. Burr, Zhiguo Ding, Octavia A. Dobre:
Energy Efficiency Optimization for Secure Transmission in MISO Cognitive Radio Network with Energy Harvesting. - Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, Xiaozhong Liu:
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning. - Jinbin Huang, Xin Huang, Yuanyuan Zhu, Jianliang Xu:
Parameter-free Structural Diversity Search. - Teresa Castle-Green, Stuart Reeves, Joel E. Fischer, Boriana Koleva:
Designing with Data: A Case Study. - Chenhao Wang:
Multi-Grained Spatio-temporal Modeling for Lip-reading. - Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz:
Semi-supervised Learning of Fetal Anatomy from Ultrasound. - Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf:
Domain Intersection and Domain Difference. - Suprovat Ghoshal, Anand Louis, Rahul Raychaudhury:
Approximation Algorithms for Partially Colorable Graphs. - Michal Parnas, Dana Ron, Adi Shraibman:
Property testing of the Boolean and binary rank. - Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella, Nematollah Bidokhti:
Enhancing Failure Propagation Analysis in Cloud Computing Systems. - Johannes Doleschal, Benny Kimelfeld, Wim Martens, Liat Peterfreund:
Annotated Document Spanners. - Lukas Cavigelli, Georg Rutishauser, Luca Benini:
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators. - Shubhendra Pal Singhal, M. Sridevi, N. Sathya Narayanan, M. J. Shankar Raman:
Porting of eChronos RTOS on RISC-V Architecture. - Pierre Biasutti, Vincent Lepetit, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau:
LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net. - Florian Schmidt, Stephan Mandt, Thomas Hofmann:
Autoregressive Text Generation Beyond Feedback Loops. - Shubhendra Pal Singhal, M. Sridevi:
Comparative study of performance of parallel Alpha Beta Pruning for different architectures. - Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer:
Nonlinear Dynamic Periodic Event-Triggered Control with Robustness to Packet Loss Based on Non-Monotonic Lyapunov Functions. - Danqing Wang, Pengfei Liu, Ming Zhong, Jie Fu, Xipeng Qiu, Xuanjing Huang:
Exploring Domain Shift in Extractive Text Summarization. - Paul Escapil-Inchauspé, Carlos Jerez-Hanckes:
Helmholtz scattering by random domains: first-order sparse boundary elements approximation. - Minjie Hua, Yibing Nan, Shiguo Lian:
Small Obstacle Avoidance Based on RGB-D Semantic Segmentation. - Roman Bachmann, Jörg Spörri, Pascal Fua, Helge Rhodin:
Motion Capture from Pan-Tilt Cameras with Unknown Orientation. - Robert Buhren, Christian Werling, Jean-Pierre Seifert:
Insecure Until Proven Updated: Analyzing AMD SEV's Remote Attestation. - Panagiotis Mandros, Mario Boley, Jilles Vreeken:
Discovering Reliable Correlations in Categorical Data. - Brendon Boldt:
Using LSTMs to Model the Java Programming Language. - Jean-Marc Ginoux, Riccardo Meucci, Stefano Euzzor, Angelo Di Garbo:
Torus Breakdown in a Uni Junction Memristor. - Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang:
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. - Adam Pantanowitz, Emmanuel Cohen, Philippe Gradidge, Nigel Crowther, Vered Aharonson, Benjamin Rosman, David M. Rubin:
Estimation of Body Mass Index from Photographs using Deep Convolutional Neural Networks. - Pablo V. A. Barros, Nikhil Churamani, Angelica Lim, Stefan Wermter:
The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling. - Qinshuang Wei, Ramtin Pedarsani, Samuel Coogan:
Mixed Autonomy in Ride-Sharing Network. - Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene:
Identification of Switched Autoregressive and Switched Autoregressive Exogenous Systems from Large Noisy Data Sets. - Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Multi-Modal Fusion for End-to-End RGB-T Tracking. - Dimitrina Zlatkova, Preslav Nakov, Ivan Koychev:
Fact-Checking Meets Fauxtography: Verifying Claims About Images. - Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard H. Hovy:
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization. - Sergey B. Medvedev, Irina Vaseva, Igor S. Chekhovskoy, Mikhail P. Fedoruk:
Exponential Fourth Order Schemes for Direct Zakharov-Shabat problem. - Morteza Varasteh, Jakob Hoydis, Bruno Clerckx:
Learning Modulation Design for SWIPT with Nonlinear Energy Harvester: Large and Small Signal Power Regimes. - Josua Sassen, Behrend Heeren, Klaus Hildebrandt, Martin Rumpf:
Geometric optimization using nonlinear rotation-invariant coordinates. - Rob Procter, Helena Webb, Marina Jirotka, Pete Burnap, William Housley, Adam Edwards, Matthew L. Williams:
A Study of Cyber Hate on Twitter with Implications for Social Media Governance Strategies. - Jie Zou, Evangelos Kanoulas:
Learning to Ask: Question-based Sequential Bayesian Product Search. - Dimitrios Tsitsigkos, Panagiotis Bouros, Nikos Mamoulis, Manolis Terrovitis:
Parallel In-Memory Evaluation of Spatial Joins. - Andrei Dumitrasc, Philippe Leleux, Constantin Popa, Daniel Ruiz, Ulrich Rüde:
On numerical solution of full rank linear systems. - Daniel Gonçalves, Benjamin Lévêque, Alexandre Pinlou:
Homothetic triangle representations of planar graphs. - Filipo Sharevski, Paige Treebridge, Peter Jachim, Audrey Li, Adam Babin, Jessica Westbrook:
Social Engineering in a Post-Phishing Era: Ambient Tactical Deception Attacks. - Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang:
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. - Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed H. Aghdam, Mikhail G. Mozerov, Antonio M. López, Joost van de Weijer:
Temporal Coherence for Active Learning in Videos. - Óscar Martín, Alberto Verdejo, Narciso Martí-Oliet:
Compositional specification in rewriting logic. - Gongbo Tang, Rico Sennrich, Joakim Nivre:
Encoders Help You Disambiguate Word Senses in Neural Machine Translation. - Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov:
Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel. - Aayushya Agarwal, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi:
Implicitly Modeling Frequency Control within Power Flow. - Eric M. S. P. Veith, Lars Fischer, Martin Tröschel, Astrid Nieße:
Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence. - Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns:
Towards Marrying Files to Objects. - Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding:
AccD: A Compiler-based Framework for Accelerating Distance-related Algorithms on CPU-FPGA Platforms. - Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian:
Latent Part-of-Speech Sequences for Neural Machine Translation. - Thomas Müller, Francesco Piccinno, Massimo Nicosia, Peter Shaw, Yasemin Altun:
Answering Conversational Questions on Structured Data without Logical Forms. - Longxu Sun, Xin Huang, Rong-Hua Li, Jianliang Xu:
Fast Algorithms for Intimate-Core Group Search in Weighted Graphs. - Marie Yahiaoui, Hazem Rashed, Letizia Mariotti, Ganesh Sistu, Ian Clancy, Lucie Yahiaoui, Varun Ravi Kumar, Senthil Kumar Yogamani:
FisheyeMODNet: Moving Object detection on Surround-view Cameras for Autonomous Driving. - Dongyeop Kang, Hiroaki Hayashi, Alan W. Black, Eduard H. Hovy:
Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs. - Hrvoje Belani, Marin Vukovic, Zeljka Car:
Requirements Engineering Challenges in Building AI-Based Complex Systems. - Xiaoyu Zhao, Wei Chen, Joohyun Lee, Ness B. Shroff:
Delay-Optimal and Energy-Efficient Communications with Markovian Arrivals. - Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. - Daniel Carter, Zach Hunter, Dan Teague, Gregory Herschlag, Jonathan Mattingly:
Optimal Legislative County Clustering in North Carolina. - Damien Lebrun-Grandié, Andrey Prokopenko, Bruno Turcksin, Stuart R. Slattery:
ArborX: A Performance Portable Search Library. - Stefano Ferretti, Gabriele D'Angelo:
On the Ethereum Blockchain Structure: a Complex Networks Theory Perspective. - Sudarshan Srinivasan, Pradeep Janedula, Saurabh Dhoble, Sasikanth Avancha, Dipankar Das, Naveen Mellempudi, Bharat Daga, Martin Langhammer, Gregg Baeckler, Bharat Kaul:
High Performance Scalable FPGA Accelerator for Deep Neural Networks. - Quan Hoang Nguyen, Andre Cronje, Michael Kong, Alex Kampa, George Samman:
StairDag: Cross-DAG Validation For Scalable BFT Consensus. - Edoardo Rosa, Gabriele D'Angelo, Stefano Ferretti:
Agent-based Simulation of Blockchains. - Wenjie Zhou, Minghua Zhang, Yunfang Wu:
Multi-Task Learning with Language Modeling for Question Generation. - Lech Duraj, Krzysztof Kleiner, Adam Polak, Virginia Vassilevska Williams:
Equivalences between triangle and range query problems. - Mohammadreza Mostajabi:
Learning Rich Representations For Structured Visual Prediction Tasks. - Lei Jiang, Xiao-Jun Wu, Josef Kittler:
Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment. - Ananya Gupta, Yao Peng, Simon Watson, Hujun Yin:
Multi-Temporal High Resolution Aerial Image Registration Using Semantic Features. - Alexander Mey, Marco Loog:
Consistency and Finite Sample Behavior of Binary Class Probability Estimation. - Lei Ke, Wenjie Pei, Ruiyu Li, Xiaoyong Shen, Yu-Wing Tai:
Reflective Decoding Network for Image Captioning. - Dawei Huang, Seth Pettie, Yixiang Zhang, Zhijun Zhang:
The Communication Complexity of Set Intersection and Multiple Equality Testing. - Yinfei Yang, Yuan Zhang, Chris Tar, Jason Baldridge:
PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification. - Antonio Molina Lovett, Bryce Sandlund:
A Simple Algorithm for Minimum Cuts in Near-Linear Time. - Shangbang Long, Yushuo Guan, Bingxuan Wang, Kaigui Bian, Cong Yao:
Alchemy: Techniques for Rectification Based Irregular Scene Text Recognition. - Ella Rabinovich, Masih Sultani, Suzanne Stevenson:
CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums. - Benedict J. Leimkuhler, Charles Matthews, Tiffany Vlaar:
Partitioned integrators for thermodynamic parameterization of neural networks. - (Withdrawn) An Incremental Evaluation Mechanism for the Critical Node Problem.
- Xing Zhao, Aijun An, Junfeng Liu, Bao Xin Chen:
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning. - Swapnil Haria, Mark D. Hill, Michael M. Swift:
MOD: Minimally Ordered Durable Datastructures for Persistent Memory. - Davide Palitta:
Matrix equation techniques for certain evolutionary partial differential equations. - Endre Kovács, András Gilicz:
New stable method to solve heat conduction problems in extremely large systems. - Anna Kuzina, Evgenii Egorov, Evgeny Burnaev:
BooVAE: A scalable framework for continual VAE learning under boosting approach. - Alexander Rietzler, Sebastian Stabinger, Paul Opitz, Stefan Engl:
Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification. - Rohan Akut, Sumukh Marathe, Rucha Apte, Ishan Joshi, Siddhivinayak Kulkarni:
Systematic Analysis of Image Generation using GANs. - Emanuele Caglioti, François Golse, Thierry Paul:
Quantum optimal transport is cheaper. - Jothi Prasanna Shanmuga Sundaram, Wan Du, Zhiwei Zhao:
A Survey on LoRa Networking: Research Problems, Current Solutions and Open Issues. - Eric T. Moore, William P. Ford, Emma J. Hague, Johanna Turk:
An Application of CNNs to Time Sequenced One Dimensional Data in Radiation Detection. - Nikolas Nüsken, Sebastian Reich:
Note on Interacting Langevin Diffusions: Gradient Structure and Ensemble Kalman Sampler by Garbuno-Inigo, Hoffmann, Li and Stuart. - Gregory R. Hessler, Andrew W. Eckford, Peter J. Thomas:
Linear Noise Approximation of Intensity-Driven Signal Transduction Channels. - Yihong Wu, Harrison H. Zhou:
Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in O(√n) iterations. - Juliane Müller, Jangho Park, Reetik Sahu, Charuleka Varadharajan, Bhavna Arora, Boris Faybishenko, Deborah A. Agarwal:
Surrogate Optimization of Deep Neural Networks for Groundwater Predictions. - Michael Günther, Roman Höllwieser, Francesco Knechtli:
Constrained Hybrid Monte Carlo algorithms for gauge-Higgs models. - Yenson Lau, Qing Qu, Han-Wen Kuo, Pengcheng Zhou, Yuqian Zhang, John Wright:
Short-and-Sparse Deconvolution - A Geometric Approach. - Na Li, Yongfei Zhang, Yun Zhang, C.-C. Jay Kuo:
On Energy Compaction of 2D Saab Image Transforms. - Milan Janosov, Federico Musciotto, Federico Battiston, Gerardo Iñiguez:
Elites, communities and the limited benefits of mentorship in electronic music. - Amber Q. Chen, Kevin K. H. Cheung, P. Michael Kielstra, Andrew Winn:
Revisiting a Cutting Plane Method for Perfect Matchings. - Jong-Min Kim, You-Jin Jeong, Han-Jae Chung, Chul-Hyun Lee, Chang-Hyun Oh:
Real-time interactive magnetic resonance (MR) temperature imaging in both aqueous and adipose tissues using cascaded deep neural networks for MR-guided focused ultrasound surgery (MRgFUS). - Wei Cui, Teng Ma, Lin Zhao, Yaojun Ge:
Data-based wind disaster climate identification algorithm and extreme wind speed prediction. - Guanjie Zheng, Mengqi Liu, Tao Wen, Hongjian Wang, Huaxiu Yao, Susan L. Brantley, Zhenhui Li:
Targeted Source Detection for Environmental Data. - Jianfeng Wang, Zhiyong Zhou, Jun Yu:
Enhanced block sparse signal recovery based on q-ratio block constrained minimal singular values. - Pietro Della Briotta Parolo, Rainer Kujala, Kimmo Kaski, Mikko Kivelä:
Going beneath the shoulders of giants: tracking the cumulative knowledge spreading in a comprehensive citation network. - Michael Kohler, Sophie Langer:
On the rate of convergence of fully connected very deep neural network regression estimates. - Michael Kohler, Adam Krzyzak, Sophie Langer:
Deep Learning and MARS: A Connection. - Andrew Elvey Price, Wenjie Fang, Michael Wallner:
Compacted binary trees admit a stretched exponential. - Tom Leinster, Emily Roff:
The maximum entropy of a metric space. - Yang Li, Kang Li:
Incorporating demand response of electric vehicles in scheduling of isolated microgrids with renewables using a bi-level programming approach. - Theerasarn Pianpanit, Sermkiat Lolak, Phattarapong Sawangjai, Apiwat Ditthapron, Sanparith Marukatat, Ekapol Chuangsuwanich, Theerawit Wilaiprasitporn:
A comparative study for interpreting deep learning prediction of the Parkinson's disease diagnosis from SPECT imaging. - Kerda Varaku:
Stock Price Forecasting and Hypothesis Testing Using Neural Networks. - Stéphane Guillet, Mathieu Roget, Pablo Arrighi, Giuseppe Di Molfetta:
The Grover search as a naturally occurring phenomenon. - Siwang Zhou, Yan He, Yonghe Liu, Chengqing Li:
Multi-Channel Deep Networks for Block-Based Image Compressive Sensing. - Alexandre Sablayrolles, Matthijs Douze, Yann Ollivier, Cordelia Schmid, Hervé Jégou:
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference. - Jakub Byszewski, Jakub Konieczny, Elzbieta Krawczyk:
Substitutive systems and a finitary version of Cobham's theorem. - Vishesh Jain:
Smoothed analysis of the least singular value without inverse Littlewood-Offord theory. - David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert:
Modeling and Optimization with Gaussian Processes in Reduced Eigenbases - Extended Version. - Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz:
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. - Mi Yan, Jonathan C. MacDonald, Chris T. Reaume, Wesley Cobb, Tamas Toth, Sarah S. Karthigan:
Machine Learning and the Internet of Things Enable Steam Flood Optimization for Improved Oil Production. - Murwan Siddig, Yongjia Song:
Adaptive Partition-based SDDP Algorithms for Multistage Stochastic Linear Programming. - Paolo Pistone, Luca Tranchini, Mattia Petrolo:
The naturality of natural deduction (II). Some remarks on atomic polymorphism. - Andrey Kormilitzin, Xinyu Yang, William H. Stone, Caroline Woffindale, Francesca Nicholls, Elena Ribe, Alejo J. Nevado-Holgado, Noel J. Buckley:
Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture. - Paul M. Riechers, James P. Crutchfield:
Fraudulent White Noise: Flat power spectra belie arbitrarily complex processes. - Sheida Hasani, Razieh Masoomi, Jamshid Ardalankia, Mohammadbashir Sedighi, Hamid Jafari:
Growth Dynamics of Value and Cost Trade-off in Competitive Temporal Networks. - Mingrui Liu:
The Cop Number of Graphs with Forbidden Induced Subgraphs. - Qiao Li, David Wenzhong Gao:
Fast Scenario Reduction for Power Systems by Deep Learning. - Taisuke Izumi, François Le Gall, Frédéric Magniez:
Quantum Distributed Algorithm for Triangle Finding in the CONGEST Model. - Stefania Albanesi, Domonkos F. Vamossy:
Predicting Consumer Default: A Deep Learning Approach. - Kristina Monakhova, Joshua Yurtsever, Grace Kuo, Nick Antipa, Kyrollos Yanny, Laura Waller:
Learned reconstructions for practical mask-based lensless imaging. - Akira Kudo, Yoshiro Kitamura, Yuanzhong Li, Satoshi Iizuka, Edgar Simo-Serra:
Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval. - Qihang Lin, Runchao Ma, Yangyang Xu:
Inexact Proximal-Point Penalty Methods for Non-Convex Optimization with Non-Convex Constraints. - Yusuke Yasuda, Xin Wang, Junichi Yamagishi:
Initial investigation of an encoder-decoder end-to-end TTS framework using marginalization of monotonic hard latent alignments. - Frank Schweitzer, Tamás Kriváchy, David García:
How emotions drive opinion polarization: An agent-based model. - Patrick W. Fowler, John Baptist Gauci, Jan Goedgebeur, Tomaz Pisanski, Irene Sciriha:
Existence of $d$-regular nut graphs for $d$ at most 11. - Masashi Ujiie, Daisuke Hotta:
Elimination of spectral blocking by ensuring rotation-free property of discretised pressure gradient within a spectral semi-implicit semi-Lagrangian global atmospheric model. - Loc Tran, Tuan Tran, Linh Tran, An Mai:
Solve fraud detection problem by using graph based learning methods. - Travis L. Scholten, Yi-Kai Liu, Kevin C. Young, Robin Blume-Kohout:
Classifying single-qubit noise using machine learning. - Attila Szolnoki, Matjaz Perc:
Seasonal payoff variations and the evolution of cooperation in social dilemmas. - Mattia Mazzoli, Alex Molas, Aleix Bassolas, Maxime Lenormand, Pere Colet, José J. Ramasco:
Field theory for recurrent mobility. - Vaiva Vasiliauskaite, Tim S. Evans:
Making Communities Show Respect for Order. - Arash Badie Modiri, Márton Karsai, Mikko Kivelä:
Efficient limited time reachability estimation in temporal networks. - Avinash Barnwal:
Network Elastic Net for Identifying Smoking specific gene expression for lung cancer. - Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua Job, Daniel A. Lidar, Maria Spiropulu:
Charged particle tracking with quantum annealing-inspired optimization. - B. Mishra, S. K. Tripathy, Sankarsan Tarai:
Accelerating models with a hybrid scale factor in extended gravity. - Alexandr Polujan, Alexander Pott:
Cubic bent functions outside the completed Maiorana-McFarland class. - Md. Helal Ahmed, Jagmohan Tanti, Sumant Pushp:
Computation of Jacobi sums of order l2 and 2l2 with prime l. - Makoto Araya, Masaaki Harada, Ken Saito:
Characterization and classification of optimal LCD codes. - Niranjan Balachandran, Deepanshu Kush:
The Normalized Matching Property in Random and Pseudorandom Bipartite Graphs. - Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Peering into the Anneal Process of a Quantum Annealer.
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