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ORCIDCoRR, February 2019
- Isaac Lage, Emily Chen, Jeffrey He, Menaka Narayanan, Been Kim, Sam Gershman, Finale Doshi-Velez:
An Evaluation of the Human-Interpretability of Explanation. - Andreas Varga:
Descriptor system techniques and software tools. - Elena Botoeva, Carsten Lutz, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev:
Query Inseparability for ALC Ontologies. - Dimche Kostadinov, Behrooz Razdehi, Slava Voloshynovskiy:
Network Parameter Learning Using Nonlinear Transforms, Local Representation Goals and Local Propagation Constraints. - Denis S. Krotov:
On dual codes in the Doob schemes. - Denis S. Krotov, Vladimir N. Potapov:
On two-fold packings of radius-1 balls in Hamming graphs. - Christopher Baik, H. V. Jagadish, Yunyao Li:
Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases. - Scott Gigante
, Jay S. Stanley III, Ngan Vu, David van Dijk, Kevin R. Moon, Guy Wolf, Smita Krishnaswamy:
Compressed Diffusion. - Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord:
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. - David Melhart, Ahmad Azadvar, Alessandro Canossa, Antonios Liapis, Georgios N. Yannakakis:
Your Gameplay Says it All: Modelling Motivation in Tom Clancy's The Division. - Ashok Deb, Luca Luceri, Adam Badawy, Emilio Ferrara:
Perils and Challenges of Social Media and Election Manipulation Analysis: The 2018 US Midterms. - Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Boris Delibasic:
Gaussian Conditional Random Fields for Classification. - Shuyi Shen, Bernardo A. Huberman, Lin Cheng, Gee-Kung Chang:
Power Loading based on Portfolio Theory for Densified Millimeter-Wave Small-Cell Communications. - Ahmad Alhilal, Salah Dowaji:
Base Station Distance Adaptive LEACH. - Michael D. Iannacone, Robert A. Bridges:
A Holistic Approach to Evaluating Cyber Security Defensive Capabilities. - Audrey Sedal, Alan Wineman, R. Brent Gillespie, C. David Remy:
Comparison and Experimental Validation of Predictive Models for Soft, Fiber-Reinforced Actuators. - Yuesong Shen, Tao Wu, Csaba Domokos, Daniel Cremers:
Probabilistic Discriminative Learning with Layered Graphical Models. - Justin Chan, Thomas Rea, Shyamnath Gollakota, Jacob E. Sunshine:
Contactless Cardiac Arrest Detection Using Smart Devices. - Pragathi Praveena, Guru Subramani, Bilge Mutlu, Michael Gleicher:
Characterizing Input Methods for Human-to-robot Demonstrations. - (Withdrawn) Learning Triggers for Heterogeneous Treatment Effects.
- Meixin Zhu, Yinhai Wang, Jingyun Hu, Xuesong Wang, Ruimin Ke:
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving. - Emanuele Fabbiani, Andrea Marziali, Giuseppe De Nicolao:
Short-term forecasting of Italian gas demand. - Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander H. Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W. Black, Alexander I. Rudnicky, Jason D. Williams, Joelle Pineau, Mikhail Burtsev, Jason Weston:
The Second Conversational Intelligence Challenge (ConvAI2). - Eric Clarkson:
Probability of Error for Detecting a Change in a Parameter, Total Variation of the Posterior Distribution, and Bayesian Fisher Information. - Kyle Luther, H. Sebastian Seung:
Learning Metric Graphs for Neuron Segmentation In Electron Microscopy Images. - Iago A. Carvalho:
On the statistical evaluation of algorithmic's computational experimentation with infeasible solutions. - Eric Clarkson:
The Relation Between Bayesian Fisher Information and Shannon Information for Detecting a Change in a Parameter. - Bo Wang, Hao Hu, Caixia Zhang:
Geometric Interpretation of side-sharing and point-sharing solutions in the P3P Problem. - Per Kristian Lehre, Dirk Sudholt:
Parallel Black-Box Complexity with Tail Bounds. - Yanni Georghiades, Steven Flolid, Sriram Vishwanath:
HashCore: Proof-of-Work Functions for General Purpose Processors. - Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales:
Episodic Training for Domain Generalization. - Kunal Relia, Zhengyi Li, Stephanie H. Cook, Rumi Chunara:
Race, Ethnicity and National Origin-based Discrimination in Social Media and Hate Crimes Across 100 U.S. Cities. - Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap:
Learning to Make Analogies by Contrasting Abstract Relational Structure. - Zhaoyang Xu, Faranak Sobhani, Carlos Fernández Moro, Qianni Zhang:
US-net for robust and efficient nuclei instance segmentation. - Amir Ahmad, Shehroz S. Khan:
A Novel Initial Clusters Generation Method for K-means-based Clustering Algorithms for Mixed Datasets. - C. Sinan Güntürk, Weilin Li:
High-performance quantization for spectral super-resolution. - Ryan Marcus, Olga Papaemmanouil:
Plan-Structured Deep Neural Network Models for Query Performance Prediction. - Rui Paiva, Eduardo Silva Palmeira, Regivan H. N. Santiago, Benjamín R. C. Bedregal:
Lattice-valued Overlap and Quasi-Overlap Functions. - Xiang Zhang, Nicholas Woolsey, Mingyue Ji:
Cache-aided Interference Management Using Hypercube Combinatorial Cache Designs. - Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Songhwai Oh:
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning. - Stefano Sarao Mannelli, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Passed & Spurious: analysing descent algorithms and local minima in spiked matrix-tensor model. - Julien M. Hendrickx, Alex Olshevsky, Venkatesh Saligrama:
Graph Resistance and Learning from Pairwise Comparisons. - Mehryar Mohri, Gary Sivek, Ananda Theertha Suresh:
Agnostic Federated Learning. - Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram:
Towards Collaborative Intelligence Friendly Architectures for Deep Learning. - Hangjin Liu, Cynthia Rush, Dror Baron:
An Analysis of State Evolution for Approximate Message Passing with Side Information. - Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, Jingdong Wang:
Deep Triplet Quantization. - Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin:
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. - Ulrik Lyngs, Kai Lukoff, Petr Slovák, Reuben Binns, Adam Slack, Michael Inzlicht, Max Van Kleek, Nigel Shadbolt:
Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools. - Angeline Aguinaldo, Ping-Yeh Chiang, Alexander Gain, Ameya Patil, Kolten Pearson, Soheil Feizi:
Compressing GANs using Knowledge Distillation. - Mengmi Zhang, Jiashi Feng, Karla Montejo, Joseph Kwon, Joo Hwee Lim, Gabriel Kreiman:
Lift-the-Flap: Context Reasoning Using Object-Centered Graphs. - Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie:
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. - Minchul Kim, Jungwoo Lee:
Private Secure Coded Computation. - Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker:
Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study). - Shikhar Vashishth, Prince Jain, Partha P. Talukdar:
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information. - Kentaro Yoshioka, Edward Lee, Simon Wong, Mark Horowitz:
Dataset Culling: Towards Efficient Training Of Distillation-Based Domain Specific Models. - Tengyang Xie, Philip S. Thomas, Gerome Miklau:
Privacy Preserving Off-Policy Evaluation. - Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar:
Dating Documents using Graph Convolution Networks. - Dominique Beaini, Sofiane Achiche, Fabrice Nonez, Olivier Brochu Dufour, Cédric Leblond-Ménard, Mahdis Asaadi, Maxime Raison:
Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function Convolution. - Ryan Spring, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava:
Compressing Gradient Optimizers via Count-Sketches. - Yash Chandak, Georgios Theocharous, James E. Kostas, Scott M. Jordan, Philip S. Thomas:
Learning Action Representations for Reinforcement Learning. - Wei Yang, Wei Lu, Vincent W. Zheng:
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings. - Steven Jens Jorgensen, James Holley, Frank Mathis, Joshua S. Mehling, Luis Sentis:
Thermal Recovery of Multi-Limbed Robots with Electric Actuators. - Guangmo Tong:
Adaptive Influence Maximization under General Feedback Models. - Afshin Rahimi, Yuan Li, Trevor Cohn:
Multilingual NER Transfer for Low-resource Languages. - Lê Thành Dung Nguyên, Paolo Pistone, Thomas Seiller, Lorenzo Tortora de Falco:
Finite semantics of polymorphism, complexity and the power of type fixpoints. - Liao Wu, Ross Crawford, Jonathan Roberts:
Geometric interpretation of the general POE model for a serial-link robot via conversion into D-H parameterization. - Yiding Chen, Xiaojin Zhu:
Optimal Adversarial Attack on Autoregressive Models. - Matías R. Bender, Jean-Charles Faugère, Elias P. Tsigaridas:
Gr{ö}bner Basis over Semigroup Algebras: Algorithms and Applications for Sparse Polynomial Systems. - Ruihuan Du, Yu Zhong, Harikesh S. Nair, Bo Cui, Ruyang Shou:
Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network. - Katsuhito Nakashima, Diptarama Hendrian, Ryo Yoshinaka, Ayumi Shinohara:
Linear-size Suffix Tries for Parameterized Strings. - Siu-Wing Cheng, Man-Kwun Chiu, Kai Jin:
A note on self-improving sorting with hidden partitions. - Qiuyu Zhu, Ruixin Zhang:
A Classification Supervised Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids. - Mladen Kovacevic, Sanja Brdar, Vladimir S. Crnojevic:
Some Enumeration Problems in the Duplication-Loss Model of Genome Rearrangement. - Ibrahim Anka Salihu, Rosziati Ibrahim, Bestoun S. Ahmed, Kamal Z. Zamli, Asmau Usman:
AMOGA: A Static-Dynamic Model Generation Strategy for Mobile Apps Testing. - Yuval Bahat, Michal Irani, Gregory Shakhnarovich:
Natural and Adversarial Error Detection using Invariance to Image Transformations. - Terry Shue Chien Lau, Chik How Tan:
Key Recovery Attack on Rank Quasi-Cyclic Code-based Signature Scheme. - Fan Wang, Xiaomin Fang, Lihang Liu, Yaxue Chen, Jiucheng Tao, Zhiming Peng, Cihang Jin, Hao Tian:
Sequential Evaluation and Generation Framework for Combinatorial Recommender System. - Anselm Haak, Juha Kontinen, Fabian Müller, Heribert Vollmer, Fan Yang:
Counting of Teams in First-Order Team Logics. - Christos Kaplanis, Murray Shanahan, Claudia Clopath:
Policy Consolidation for Continual Reinforcement Learning. - Feiyang Chen, Nan Chen, Hanyang Mao, Hanlin Hu:
The Application of Bipartite Matching in Assignment Problem. - Feiyang Chen, Nan Chen, Hanyang Mao, Hanlin Hu:
An efficient sorting algorithm - Ultimate Heapsort(UHS). - Shreyank N. Gowda, Chun Yuan:
ColorNet: Investigating the importance of color spaces for image classification. - Antonio Mazza, Francescopaolo Sica:
Deep Learning Solutions for TanDEM-X-based Forest Classification. - Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel:
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. - Héctor García de Marina, Ewoud J. J. Smeur:
Flexible collaborative transportation by a team of rotorcraft. - Jeroen Berrevoets, Wouter Verbeke:
Causal Simulations for Uplift Modeling. - Bert De Brabandere, Wouter Van Gansbeke, Davy Neven, Marc Proesmans, Luc Van Gool:
End-to-end Lane Detection through Differentiable Least-Squares Fitting. - Ariel Barel, Rotem Manor, Alfred M. Bruckstein:
Probabilistic Gathering Of Agents With Simple Sensors. - Ambrus Kaposi, András Kovács:
Signatures and Induction Principles for Higher Inductive-Inductive Types. - Oleksii Sidorov, Jon Yngve Hardeberg:
Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution. - Benjamin Doerr, Carola Doerr, Frank Neumann:
Fast Re-Optimization via Structural Diversity. - Oleksii Sidorov, Congcong Wang, Faouzi Alaya Cheikh:
Generative Smoke Removal. - Yuanzhi Liang, Yalong Bai, Wei Zhang, Xueming Qian, Li Zhu, Tao Mei:
Rethinking Visual Relationships for High-level Image Understanding. - Gregor Ulm, Emil Gustavsson, Mats Jirstrand:
OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles. - Seyed Ali Ossia, Borzoo Rassouli, Hamed Haddadi, Hamid R. Rabiee, Deniz Gündüz:
Privacy Against Brute-Force Inference Attacks. - Zheng Fang, Yanan Cao, Dongjie Zhang, Qian Li, Zhenyu Zhang, Yanbing Liu:
Joint Entity Linking with Deep Reinforcement Learning. - Rajalekshmi Kishore, Sanjeev Gurugopinath, Paschalis C. Sofotasios, Sami Muhaidat, Naofal Al-Dhahir:
Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks. - Aythami Morales, Julian Fiérrez, Rubén Vera-Rodríguez:
SensitiveNets: Learning Agnostic Representations with Application to Face Recognition. - Anastasia Koloskova, Sebastian U. Stich, Martin Jaggi:
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication. - Shuang Zheng, Jing Yang, Xiaohu Ge, Yonghui Li, Lin Tian, Jinglin Shi:
Energy Efficiency of Generalized Spatial Modulation Aided Massive MIMO Systems. - Christoph Angermann, Markus Haltmeier, Ruth Steiger, Sergiy Pereverzyev Jr., Elke Ruth Gizewski:
Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation. - Li Xiao, Yijie Peng, L. Jeff Hong, Zewu Ke:
Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Adversarial Defensiveness. - Luiz Pessoa:
Intelligent architectures for robotics: The merging of cognition and emotion. - Yongpei Zhu, Zicong Zhou, Guojun Liao, Qianxi Yang, Kehong Yuan:
The Generation and Application of Medical Image Grid Based on Differential Geometric Features. - Rajalekshmi Kishore, Sanjeev Gurugopinath, Sami Muhaidat, Paschalis C. Sofotasios, Octavia A. Dobre, Naofal Al-Dhahir:
Sensing-Throughput Tradeoff for Superior Selective Reporting-based Spectrum Sensing in Energy Harvesting HCRNs. - Benjamin Paaßen, Astrid Bunge, Carolin Hainke, Leon Sindelar, Matthias Vogelsang:
Dynamic fairness - Breaking vicious cycles in automatic decision making. - Yash Patel, Lluís Gómez, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar:
Self-Supervised Visual Representations for Cross-Modal Retrieval. - Chaochao Li, Pei Lv, Dinesh Manocha, Hua Wang, Yafei Li, Bing Zhou, Mingliang Xu:
ACSEE: Antagonistic Crowd Simulation model with Emotional contagion and Evolutionary game. - Shengcao Cao, Xiaofang Wang, Kris M. Kitani:
Learnable Embedding Space for Efficient Neural Architecture Compression. - Ariel Barel, Rotem Manor, Alfred M. Bruckstein:
On Steering Swarms. - Salvatore D'Oro, Francesco Restuccia, Alessandro Talamonti, Tommaso Melodia:
The Slice Is Served: Enforcing Radio Access Network Slicing in Virtualized 5G Systems. - Ghanem Soltana, Mehrdad Sabetzadeh, Lionel C. Briand:
Practical Model-driven Data Generation for System Testing. - Sahil Singla, Eric Wallace, Shi Feng, Soheil Feizi:
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation. - Gurudutt Hosangadi, Dandan Wang, Anil Rao:
System Design Considerations For Internet Of Things (IoT) With Category-M Devices In LTE Networks. - Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation. - Björn Barz, Joachim Denzler:
Do we train on test data? Purging CIFAR of near-duplicates. - Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo K. Rohde:
Generalized Sliced Wasserstein Distances. - Luca Aceto, Antonis Achilleos, Adrian Francalanza, Anna Ingólfsdóttir, Karoliina Lehtinen:
Adventures in Monitorability: From Branching to Linear Time and Back Again. - Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak:
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. - Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar:
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders. - Indranil Chakraborty, Deboleena Roy, Aayush Ankit, Kaushik Roy:
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge. - Peter Buchlovsky, David Budden, Dominik Grewe, Chris Jones, John Aslanides, Frederic Besse, Andy Brock, Aidan Clark, Sergio Gomez Colmenarejo, Aedan Pope, Fabio Viola, Dan Belov:
TF-Replicator: Distributed Machine Learning for Researchers. - Tor Lattimore, Csaba Szepesvári:
An Information-Theoretic Approach to Minimax Regret in Partial Monitoring. - André Mateus, Omar Tahri, Pedro Miraldo:
Active Estimation of 3D Lines in Spherical Coordinates. - Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux:
Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures. - Sen Chen, Lingling Fan, Chunyang Chen, Ting Su, Wenhe Li, Yang Liu, Lihua Xu:
StoryDroid: Automated Generation of Storyboard for Android Apps. - Ghasem Pasandi, Shahin Nazarian, Massoud Pedram:
Approximate Logic Synthesis: A Reinforcement Learning-Based Technology Mapping Approach. - Ghasem Pasandi, Raghav Mehta, Massoud Pedram, Shahin Nazarian:
Hybrid Cell Assignment and Sizing for Power, Area, Delay Product Optimization of SRAM Arrays. - Dongfang Yang, Linhui Li, Keith A. Redmill, Ümit Özgüner:
Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus. - Rahul Jain, Raghunath Tewari:
Grid Graph Reachability. - Abram Handler, Brian Dillon, Brendan O'Connor:
Human acceptability judgements for extractive sentence compression. - Sneha Kudugunta, Vaibhav B. Sinha, Adepu Ravi Sankar, Surya Teja Chavali, Purushottam Kar, Vineeth N. Balasubramanian:
DANTE: Deep AlterNations for Training nEural networks. - Arul Mishra, Himanshu Mishra, Shelly Rathee:
Examining the Presence of Gender Bias in Customer Reviews Using Word Embedding. - Aseem R. Baranwal, Jeffrey O. Shallit:
Critical exponent of infinite balanced words via the Pell number system. - A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Learning Differentiable Grammars for Continuous Data. - Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling:
The Hanabi Challenge: A New Frontier for AI Research. - Goran Glavas, Robert Litschko, Sebastian Ruder, Ivan Vulic:
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions. - Florian Myter, Christophe Scholliers, Wolfgang De Meuter:
Distributed Reactive Programming for Reactive Distributed Systems. - S. Tucker Taft:
ParaSail: A Pointer-Free Pervasively-Parallel Language for Irregular Computations. - Amir Saeidi, Jurriaan Hage, Ravi Khadka, Slinger Jansen:
Applications of Multi-view Learning Approaches for Software Comprehension. - Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong:
Competitive Experience Replay. - Zhiyun Lu, Chao-Kai Chiang, Fei Sha:
Hyper-parameter Tuning under a Budget Constraint. - Lezhi Wang, Zhi-Dan Zhao, Jun-Jie Jiang, Bing-Hui Guo, Xiao Wang, Zi-Gang Huang, Ying-Cheng Lai:
A model for meme popularity growth in social networking systems based on biological principle and human interest dynamics. - Peter Klages, Ilyes Benslimane, Sadegh Riyahi, Jue Jiang, Margie Hunt, Joseph O. Deasy, Harini Veeraraghavan, Neelam Tyagi:
Comparison of Patch-Based Conditional Generative Adversarial Neural Net Models with Emphasis on Model Robustness for Use in Head and Neck Cases for MR-Only planning. - Cory Cornelius:
The Efficacy of SHIELD under Different Threat Models. - Leila Megouache, Abdelhafid Zitouni, Mahieddine Djoudi:
A New Framework of Authentication Over Cloud Computing. - Rodin Aarssen, Jurgen J. Vinju, Tijs van der Storm:
Concrete Syntax with Black Box Parsers. - Andi Bejleri, Elton Domnori, Malte Viering, Patrick Eugster, Mira Mezini:
Comprehensive Multiparty Session Types. - Philipp Seifer, Martin Leinberger, Ralf Lämmel, Steffen Staab:
Semantic Query Integration With Reason. - Hrshikesh Arora, Marco Servetto, Bruno C. d. S. Oliveira:
Separating Use and Reuse to Improve Both. - Weixin Zhang, Bruno C. d. S. Oliveira:
Shallow EDSLs and Object-Oriented Programming: Beyond Simple Compositionality. - David Rauch, Patrick Rein, Stefan Ramson, Jens Lincke, Robert Hirschfeld:
Babylonian-style Programming: Design and Implementation of an Integration of Live Examples into General-purpose Source Code. - Haifa F. Alhasson, Shuaa S. Alharbi, Boguslaw Obara:
2D and 3D Vascular Structures Enhancement via Multiscale Fractional Anisotropy Tensor. - Koushik Varma Kalidindi:
Deconstructing Word Embeddings. - Massimiliano Polito:
Riconoscimento ortografico per apostrofo ed espressioni polirematiche. - Laurens Weitkamp, Elise van der Pol, Zeynep Akata:
Visual Rationalizations in Deep Reinforcement Learning for Atari Games. - Atta Norouzian, Bogdan Mazoure, Dermot Connolly, Daniel Willett:
Exploring attention mechanism for acoustic-based classification of speech utterances into system-directed and non-system-directed. - Sascha Saralajew, Lars Holdijk, Maike Rees, Thomas Villmann:
Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks. - Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao:
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog. - Gabriel Schamberg, Todd P. Coleman:
On the Bias of Directed Information Estimators. - Douglas Comer, Adib Rastegarnia:
Towards Disaggregating the SDN Control Plane. - Iman Elghandour, Ahmet Kara, Dan Olteanu, Stijn Vansummeren:
Incremental Techniques for Large-Scale Dynamic Query Processing. - Yijiang Lian, Zhijie Chen, Jinlong Hu, Ke-feng Zhang, Chunwei Yan, Muchenxuan Tong, Wenying Han, Hanju Guan, Ying Li, Ying Cao, Yang Yu, Zhigang Li, Xiaochun Liu, Yue Wang:
An end-to-end Generative Retrieval Method for Sponsored Search Engine -Decoding Efficiently into a Closed Target Domain. - Hengjie Yang, Gourav Khadge, Richard D. Wesel:
Finite-Blocklength Performance of Sequential Transmission over BSC with Noiseless Feedback. - Michael Hahn, Frank Keller, Yonatan Bisk, Yonatan Belinkov:
Character-based Surprisal as a Model of Human Reading in the Presence of Errors. - Nitin R. Kapania, Vijay Govindarajan, Francesco Borrelli, J. Christian Gerdes:
A Hybrid Control Design for Autonomous Vehicles at Uncontrolled Intersections. - Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov:
Efficient Learning of Discrete Graphical Models. - Aniket Shivam, Neftali Watkinson, Alexandru Nicolau, David A. Padua, Alexander V. Veidenbaum:
Towards an Achievable Performance for the Loop Nests. - Yu Zhang, Mehrdad Zakershahrak:
Progressive Explanation Generation for Human-robot Teaming. - Nitin R. Kapania, John K. Subosits, J. Christian Gerdes:
A Sequential Two-Step Algorithm for Fast Generation of Vehicle Racing Trajectories. - Eunji Chong, Katha Chanda, Zhefan Ye, Audrey Southerland, Nataniel Ruiz, Rebecca M. Jones, Agata Rozga, James M. Rehg:
Detecting Gaze Towards Eyes in Natural Social Interactions and its Use in Child Assessment. - Ningnan Zhou, Xuan Zhou, Kian-Lee Tan, Shan Wang:
Transparent Concurrency Control: Decoupling Concurrency Control from DBMS. - Nitin R. Kapania, J. Christian Gerdes:
Path Tracking of Highly Dynamic Autonomous Vehicle Trajectories via Iterative Learning Control. - Abraham Frandsen, Rong Ge:
Understanding Composition of Word Embeddings via Tensor Decomposition. - Zhicheng Ding, Edward Wong:
Confidence Trigger Detection: An Approach to Build Real-time Tracking-by-detection System. - Aakif Mairaj, Asif Iqbal Baba, Ahmad Y. Javaid:
Application Specific Drone Simulators: Recent Advances and Challenges. - Xiaojuan Wang, Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang:
Supervised Quantization for Similarity Search. - Chi Jin, Praneeth Netrapalli, Michael I. Jordan:
Minmax Optimization: Stable Limit Points of Gradient Descent Ascent are Locally Optimal. - Jian Li, Xuanyuan Luo, Mingda Qiao:
On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning. - Ting Zhang, Jingdong Wang:
Collaborative Quantization for Cross-Modal Similarity Search. - Wahyudi, Masayu Leylia Khodra, Ary Setijadi Prihatmanto, Carmadi Machbub:
A Question Answering System Using Graph-Pattern Association Rules (QAGPAR) On YAGO Knowledge Base. - Zhengxuan Wu, Jason Luo, Xiyu Zhang:
Uncovering Political Promotion in China: A Network Analysis of Patronage Relationship in Autocracy. - Marwan A. Mattar, Michael G. Ross, Erik G. Learned-Miller:
Nonparametric Curve Alignment. - Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han:
Is CQT more suitable for monaural speech separation than STFT? an empirical study. - Nikolaj Tatti:
Efficient estimation of AUC in a sliding window. - Nikolaj Tatti:
Computational Complexity of Queries Based on Itemsets. - Yuanyuan Feng, Tingran Gao, Lei Li, Jian-Guo Liu, Yulong Lu:
Uniform-in-Time Weak Error Analysis for Stochastic Gradient Descent Algorithms via Diffusion Approximation. - Reza Asadi, Amelia Regan:
A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting. - Kexin Tang, Nuowen Kan, Junni Zou, Xiao Fu, Mingyi Hong, Hongkai Xiong:
Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. - Xinshi Chen, Hanjun Dai, Le Song:
Meta Particle Flow for Sequential Bayesian Inference. - Jinhyun So, Basak Guler, Amir Salman Avestimehr, Payman Mohassel:
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. - Shifeng Zhang, Jianmin Li, Bo Zhang:
Pairwise Teacher-Student Network for Semi-Supervised Hashing. - Shifeng Zhang, Jianmin Li, Bo Zhang:
Joint Cluster Unary Loss for Efficient Cross-Modal Hashing. - Dylan P. Losey, Marcia K. O'Malley:
Enabling Robots to Infer how End-Users Teach and Learn through Human-Robot Interaction. - Chongbin Tang, Sen Chen, Lingling Fan, Lihua Xu, Yang Liu, Zhushou Tang, Liang Dou:
A Large-Scale Empirical Study on Industrial Fake Apps. - Maodong Pan, Falai Chen, Weihua Tong:
Volumetric Spline Parameterization for Isogeometric Analysis. - Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han:
FurcaNet: An end-to-end deep gated convolutional, long short-term memory, deep neural networks for single channel speech separation. - Chuzhe Tang, Zhiyuan Dong, Minjie Wang, Zhaoguo Wang, Haibo Chen:
Learned Indexes for Dynamic Workloads. - Pedro Cisneros-Velarde, Kevin S. Chan, Francesco Bullo:
Polarization and Fluctuations in Signed Social Networks. - Muhammed Hanefi Calp, Muhammet Ali Akcayol:
Optimization of Project Scheduling Activities in Dynamic CPM and PERT Networks Using Genetic Algorithms. - Nachshon Cohen, David T. Aksun, Hillel Avni, James R. Larus:
Fine-Grain Checkpointing with In-Cache-Line Logging. - Tolgahan Cakaloglu, Xiaowei Xu:
A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases. - Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Feng Zhang:
Hierarchical Photo-Scene Encoder for Album Storytelling. - Mehmet Ozgur Turkoglu, William Thong, Luuk J. Spreeuwers, Berkay Kicanaoglu:
A Layer-Based Sequential Framework for Scene Generation with GANs. - Hadrien Van Lierde, Tommy W. S. Chow:
Query-oriented text summarization based on hypergraph transversals. - Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater:
Belief dynamics extraction. - Adil Rajput, Tayeb Brahimi:
Characterizing IOMT/Personal Area Networks Landscape. - Zheng Zhou, Weiming Zhang, Nenghai Yu:
Data Exfiltration via Multipurpose RFID Cards and Countermeasures. - Adil Rajput:
Natural Language Processing, Sentiment Analysis and Clinical Analytics. - Charles P. Martin, Jim Tørresen:
Data Driven Analysis of Tiny Touchscreen Performance with MicroJam. - Sébastien Bubeck, Mark Sellke:
First-Order Regret Analysis of Thompson Sampling. - Johan Schoukens, Lennart Ljung:
Nonlinear System Identification: A User-Oriented Roadmap. - M. Hanefi Calp:
Medical Diagnosis with a Novel SVM-CoDOA Based Hybrid Approach. - Hamed Masoumi, Mohammad Javad Emadi:
Transmission strategies for cell-free massive mimo with limited capacity fronthaul links. - Adil Rajput, Samara M. Ahmed:
Making a Case for Social Media Corpus for Detecting Depression. - Stefano Fioravanzo, Giovanni Iacca:
Evaluating MAP-Elites on Constrained Optimization Problems. - Adil E. Rajput, Samara M. Ahmed:
Big Data and Social/Medical Sciences: State of the Art and Future Trends. - Flavio C. D. Moraes:
Filtering journal impact factor rank by specific parameters. - Shouling Ji, Haiqin Weng, Yiming Wu, Pan Zhou, Qinming He, Raheem Beyah, Ting Wang:
FDI: Quantifying Feature-based Data Inferability. - Yu Lei, Wenjie Li:
When Collaborative Filtering Meets Reinforcement Learning. - Shouling Ji, Qinchen Gu, Haiqin Weng, Qianjun Liu, Pan Zhou, Qinming He, Raheem Beyah, Ting Wang:
De-Health: All Your Online Health Information Are Belong to Us. - Miguel Alonso Jr.:
Learning User Preferences via Reinforcement Learning with Spatial Interface Valuing. - Fayez Lahoud, Radhakrishna Achanta, Pablo Márquez-Neila, Sabine Süsstrunk:
Self-Binarizing Networks. - Michael Mitzenmacher:
Scheduling with Predictions and the Price of Misprediction. - Grégory Berhuy, Jean Fasel, Odile Garotta:
Rank weights for arbitrary finite field extensions. - Joe Gibbs Politz, Benjamin S. Lerner, Sorawee Porncharoenwase, Shriram Krishnamurthi:
Event Loops as First-Class Values: A Case Study in Pedagogic Language Design. - Ben Goertzel:
Distinction Graphs and Graphtropy: A Formalized Phenomenological Layer Underlying Classical and Quantum Entropy, Observational Semantics and Cognitive Computation. - Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok:
Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data. - Haowei He, Gao Huang, Yang Yuan:
Asymmetric Valleys: Beyond Sharp and Flat Local Minima. - Ji Zhu, Hua Yang, Nian Liu, Minyoung Kim, Wenjun Zhang, Ming-Hsuan Yang:
Online Multi-Object Tracking with Dual Matching Attention Networks. - Yuting Yang, Juan Cao, Mingyan Lu, Jintao Li, Chia-Wen Lin:
How to Write High-quality News on Social Network? Predicting News Quality by Mining Writing Style. - Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly:
Parameter-Efficient Transfer Learning for NLP. - Erion Çano, Maurizio Morisio:
Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey. - Mauricio Matamoros, Karin Harbusch, Dietrich Paulus:
From Commands to Goal-based Dialogs: A Roadmap to Achieve Natural Language Interaction in RoboCup@Home. - Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun:
Graph Neural Networks with Generated Parameters for Relation Extraction. - Stephen Wong, Cass Dykeman:
East Asians with Internet Addiction: Prevalence Rates and Support Use Patterns. - Mauricio Matamoros, Viktor Seib, Raphael Memmesheimer, Dietrich Paulus:
RoboCup@Home: Summarizing achievements in over eleven years of competition. - Alessio Tonioni, Luigi Di Stefano:
Domain invariant hierarchical embedding for grocery products recognition. - Shreyas S. Shivakumar, Ty Nguyen, Steven W. Chen, Camillo J. Taylor:
DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion. - Max Simchowitz, Ross Boczar, Benjamin Recht:
Learning Linear Dynamical Systems with Semi-Parametric Least Squares. - Adi Botea, Christian Muise, Shubham Agarwal, Oznur Alkan, Ondrej Bajgar, Elizabeth Daly, Akihiro Kishimoto, Luis A. Lastras, Radu Marinescu, Josef Ondrej, Pablo Pedemonte, Miroslav Vodolán:
Generating Dialogue Agents via Automated Planning. - Giannis Christoforidis, Pavlos Kefalas, Apostolos N. Papadopoulos, Yannis Manolopoulos:
RELINE: Point-of-Interest Recommendations using Multiple Network Embeddings. - Olga V. Bondarenko, Svitlana Mantulenko, Andrey V. Pikilnyak:
Google Classroom as a Tool of Support of Blended Learning for Geography Students. - Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Certified Reinforcement Learning with Logic Guidance. - Jinhwan Choi, Yu Gu, Jinoh Kim:
Learning-based Dynamic Cache Management in a Cloud. - Aaron Krim-Yee, Ben Seamone, Virgélot Virgile:
Eternal domination on prisms of graphs. - Minjae Lee, David Hyde, Kevin Li, Ronald Fedkiw:
A Robust Volume Conserving Method for Character-Water Interaction. - Nikolaj Tatti:
Itemsets for Real-valued Datasets. - Jayant Gupchup, Douglas Carlson, Razvan Musaloiu-Elefteri, Alex Szalay, Andreas Terzis:
Phoenix: An Epidemic Approach to Time Reconstruction. - Manu Goyal, Moi Hoon Yap:
Automatic Lesion Boundary Segmentation in Dermoscopic Images with Ensemble Deep Learning Methods. - Achilles A. Beros, Bjørn Kjos-Hanssen, Daylan Kaui Yogi:
Planar digraphs for automatic complexity. - Yuejiang Liu, Parth Kothari, Alexandre Alahi:
Collaborative GAN Sampling. - Bjørn Kjos-Hanssen, Lei Liu:
The number of languages with maximum state complexity. - Keisuke Imoto, Seisuke Kyochi:
Sound Event Detection Using Graph Laplacian Regularization Based on Event Co-occurrence. - John Hester:
Automated ZFC Theorem Proving with E. - Amirreza Farnoosh, Behnaz Rezaei, Sarah Ostadabbas:
DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences. - Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Review Conversational Reading Comprehension. - Jiwook Choi, Namyoon Lee, Song-Nam Hong, Giuseppe Caire:
Joint User Selection, Power Allocation, and Precoding Design with Imperfect CSIT for Multi-Cell MU-MIMO Downlink Systems. - Dahyun Kim, Jihwan Bae, Yeonsik Jo, Jonghyun Choi:
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence. - Hui Li, Ye Liu, Yan Qiu Chen:
Automatic trajectory measurement of large numbers of crowded objects. - Jianping Yao, Jie Xu:
Secrecy Transmission in Large-Scale UAV-Enabled Wireless Networks. - Mehdi Ganji, Hongbing Cheng, Qi Zhan, Kee-Bong Song:
A New Codebook Design for Analog Beamforming in Millimeter-wave Communication. - Anish Singhani:
Real-Time Freespace Segmentation on Autonomous Robots for Detection of Obstacles and Drop-Offs. - Francisco M. Garcia, Philip S. Thomas:
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning. - Aron Laszka, Scott Eisele, Abhishek Dubey, Gabor Karsai, Karla Kvaternik:
TRANSAX: A Blockchain-based Decentralized Forward-Trading Energy Exchange for Transactive Microgrids. - Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry using Genetic Algorithm. - Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
A Billion Updates per Second Using 30, 000 Hierarchical In-Memory D4M Databases. - Kuo-Feng Hsu, Ryan Beckett, Ang Chen, Jennifer Rexford, Praveen Tammana, David Walker:
Contra: A Programmable System for Performance-aware Routing. - Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang:
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems. - Shiba Kuanar, K. R. Rao, Dwarikanath Mahapatra, Monalisa Bilas:
Night Time Haze and Glow Removal using Deep Dilated Convolutional Network. - Jiacheng Xu, Greg Durrett:
Neural Extractive Text Summarization with Syntactic Compression. - Seonho Kim, Song-Nam Hong:
Semi-Supervised Learning Detector for MU-MIMO Systems with One-bit ADCs. - Yusuke Imoto, Satori Tsuzuki, Daisuke Nishiura:
Convergence study and optimal weight functions of an explicit particle method for the incompressible Navier-Stokes equations. - Yingzhen Yang, Xingjian Li, Jun Huan:
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity. - Christos Patsonakis, Katerina Samari, Aggelos Kiayias, Mema Roussopoulos:
On the Practicality of Smart Contract PKI. - Christos Patsonakis, Mema Roussopoulos:
An Alternative Paradigm for Developing and Pricing Storage on Smart Contract Platforms. - Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda:
Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure. - Rana Siadati, Paul Wernick, Vito Veneziano:
Modelling the Political Context in Requirements Engineering. The System is made for Man, not Man for the System. - Jinfeng Li, Liwei Chen, Qizhen Xu, Linan Tian, Gang Shi, Kai Chen, Dan Meng:
Zipper Stack: Shadow Stacks Without Shadow. - Yanjie Wang, Samuel Broscheit, Rainer Gemulla:
A Relational Tucker Decomposition for Multi-Relational Link Prediction. - Yunwen Lei, Ting Hu, Ke Tang:
Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions. - Maria Maleshkova, Patrick Philipp, York Sure-Vetter, Rudi Studer:
Smart Web Services (SmartWS) - The Future of Services on the Web. - Mohamed Nidhal Jelassi:
Study, representation and applications of hypergraph minimal transversals. - Matt Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela, Maximilian Nickel:
Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings. - Tom Hanika, Maximilian Marx, Gerd Stumme:
Discovering Implicational Knowledge in Wikidata. - Jie Zhang, Xiaolong Wang, Dawei Li, Shalini Ghosh, Abhishek Kolagunda, Yalin Wang:
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression. - Wenxin Li, Joohyun Lee, Ness B. Shroff:
A Faster FPTAS for Knapsack Problem With Cardinality Constraint. - R. Srikant, Lei Ying:
Finite-Time Error Bounds For Linear Stochastic Approximation and TD Learning. - Yao Zhang, Alpha A. Lee:
Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning. - Yunhui Guo, Yandong Li, Rogério Schmidt Feris, Liqiang Wang, Tajana Rosing:
Depthwise Convolution is All You Need for Learning Multiple Visual Domains. - Kee-Hoon Kim:
New Constellation Design and Bit Mapping for Dual Mode OFDM-IM. - Milad Abolpour, Mahtab Mirmohseni, Mohammad Reza Aref:
Outage Performance in Secure Cooperative NOMA. - Leshang Chen, Susan B. Davidson:
Automating Software Citation using GitCite. - Rayed AlGhamdi, Adel A. Bahaddad:
Assessing the Usages of LMS at KAU and Proposing FORCE Strategy for the Diffusion. - Sanna Wager, George Tzanetakis, Cheng-i Wang, Lijiang Guo, Aswin Sivaraman, Minje Kim:
Deep Autotuner: A Data-Driven Approach to Natural-Sounding Pitch Correction for Singing Voice in Karaoke Performances. - Jenna Kanerva, Filip Ginter, Tapio Salakoski:
Universal Lemmatizer: A Sequence to Sequence Model for Lemmatizing Universal Dependencies Treebanks. - Holger Petersen:
Some Remarks on Real-Time Turing Machines. - Yifang Chen, Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei:
A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free. - Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen:
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. - Zoubeir Mlika, Elmahdi Driouch, Wessam Ajib:
Resource Allocation in Green Dense Cellular Networks: Complexity and Algorithms. - Ruslan Shaydulin, Caleb Thomas, Paige Rodeghero:
Making Quantum Computing Open: Lessons from Open-Source Projects. - Xiaoman Pan, Kai Sun, Dian Yu, Heng Ji, Dong Yu:
Improving Question Answering with External Knowledge. - Michal Derezinski, Kenneth L. Clarkson, Michael W. Mahoney, Manfred K. Warmuth:
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression. - Poorvi L. Vora:
Risk-Limiting Bayesian Polling Audits for Two Candidate Elections. - Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram:
BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services. - Nikolaj Tatti:
Ranking Episodes using a Partition Model. - Yi Yu, Haiquan Zhao, Rodrigo C. de Lamare, Yuriy V. Zakharov, Lu Lu:
Study of Robust Distributed Diffusion RLS Algorithms with Side Information for Adaptive Networks. - R. Thomas McCoy, Ellie Pavlick, Tal Linzen:
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference. - Subhrajit Roy, Umar Asif, Jianbin Tang, Stefan Harrer:
Machine Learning for Seizure Type Classification: Setting the benchmark. - Shervin Minaee, AmirAli Abdolrashidi:
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network. - Katsuhiko Ishiguro, Shin-ichi Maeda, Masanori Koyama:
Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks. - Christopher J. Tralie, Brian McFee:
Enhanced Hierarchical Music Structure Annotations via Feature Level Similarity Fusion. - Huile Xu, Yi Zhang, Li Li, Weixia Li:
Cooperative Driving at Unsignalized Intersections Using Tree Search. - Hossein K. Mousavi, Nader Motee:
Estimation with Fast Landmark Selection in Robot Visual Navigation. - Zeyuan Allen-Zhu, Yuanzhi Li:
Can SGD Learn Recurrent Neural Networks with Provable Generalization? - Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar:
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. - Md Ashraful Alam Milton:
Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge. - Sudin Kadam, Karmvir Singh Phogat, Ravi N. Banavar, Debasish Chatterjee:
Exact isoholonomic motion of the planar Purcell's swimmer. - Kallista A. Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloé Kiddon, Jakub Konecný, Stefano Mazzocchi, H. Brendan McMahan, Timon Van Overveldt, David Petrou, Daniel Ramage, Jason Roselander:
Towards Federated Learning at Scale: System Design. - Jiaqi Chen, Xiaohu Ge, Yi Zhong, Yonghui Li:
A Novel JT-CoMP Scheme in 5G Fractal Small Cell Networks. - Takuo Kaneko, Issei Sato, Masashi Sugiyama:
Online Multiclass Classification Based on Prediction Margin for Partial Feedback. - Dongyan Guo, Jun Wang, Weixuan Zhao, Ying Cui, Zhenhua Wang, Shengyong Chen:
End-to-end feature fusion siamese network for adaptive visual tracking. - Swapna Agarwal, Brojeshwar Bhowmick:
3D point cloud registration with shape constraint. - Qinyi Luo, Jinkun Lin, Youwei Zhuo, Xuehai Qian:
Hop: Heterogeneity-Aware Decentralized Training. - Wonseok Hwang, Jinyeung Yim, Seunghyun Park, Minjoon Seo:
A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization. - Suryansh Kumar:
Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure from Motion. - Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis, Christos Chrysoulas, Remco C. Veltkamp, Ronald Poppe:
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions. - Rupak Majumdar, Aman Shankar Mathur, Marcus Pirron, Laura Stegner, Damien Zufferey:
Paracosm: A Language and Tool for Testing Autonomous Driving Systems. - Jarno Alanko, Alberto Policriti, Nicola Prezza:
On Prefix-Sorting Finite Automata. - Isaac Lera, Carlos Guerrero, Carlos Juiz:
YAFS: A simulator for IoT scenarios in fog computing. - Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan:
Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning. - Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry S. Davis:
Compatible and Diverse Fashion Image Inpainting. - Boya Di, Lingyang Song, Yonghui Li, Geoffrey Ye Li:
TCM-NOMA: Joint Multi-user Codeword Design and Detection in Trellis Coded Modulation based NOMA for Beyond 5G. - Witold Dzwinel, Rafal Wcislo, Stan Matwin:
2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements. - Angela Fan, Mike Lewis, Yann N. Dauphin:
Strategies for Structuring Story Generation. - Liang Zhu, Zhijian Zhao, Chao Lu, Yining Lin, Yao Peng, Tangren Yao:
Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting. - Elena Sibirtseva, Ali Ghadirzadeh, Iolanda Leite, Mårten Björkman, Danica Kragic:
Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality. - Guy Tennenholtz, Shie Mannor:
The Natural Language of Actions. - Kui Zhao, Junhao Hua, Ling Yan, Qi Zhang, Huan Xu, Cheng Yang:
A Unified Framework for Marketing Budget Allocation. - Angelo Ferrando, Michael Winikoff, Stephen Cranefield, Frank Dignum, Viviana Mascardi:
On the Enactability of Agent Interaction Protocols: Toward a Unified Approach. - Markus Theo Frohme:
Active Automata Learning with Adaptive Distinguishing Sequences. - Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra:
Adaptive stochastic gradient algorithms on Riemannian manifolds. - Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples? - Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif:
Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. - Alberto Marchisio, Muhammad Shafique:
CapStore: Energy-Efficient Design and Management of the On-Chip Memory for CapsuleNet Inference Accelerators. - Mario R. F. Benevides, Isaque M. S. Lima:
Dynamic Epistemic Logic with Communication Actions. - Francesc Verdugo, Alberto F. Martín, Santiago Badia:
Distributed-memory parallelization of the aggregated unfitted finite element method. - Wei-Hung Weng, Yu-An Chung, Peter Szolovits:
Unsupervised Clinical Language Translation. - Lorenzo Gaudio, Mari Kobayashi, Björn Bissinger, Giuseppe Caire:
Performance Analysis of Joint Radar and Communication using OFDM and OTFS. - Benjamin Marussig:
Advances in the Treatment of Trimmed CAD Models due to Isogeometric Analysis. - O. M. Alade, A. O. Amusat:
Solving Nurse Scheduling Problem Using Constraint Programming Technique. - Patrick Schlachter, Yiwen Liao, Bin Yang:
Deep One-Class Classification Using Data Splitting. - Yasutaka Uchida, Kazuya Haraguchi:
Recycling Solutions for Vertex Coloring Heuristics. - Rakshit Agrawal, Luca de Alfaro, David P. Helmbold:
A New Family of Neural Networks Provably Resistant to Adversarial Attacks. - Hachem Yassine, Mihai-Alin Badiu, Justin P. Coon:
Model-Based Detector for SSDs in the Presence of Inter-cell Interference. - (Withdrawn) Adversarial Example Generation.
- Abolfazl Lavaei, Sadegh Soudjani, Majid Zamani:
Compositional Synthesis of Large-Scale Stochastic Systems: A Relaxed Dissipativity Approach. - Pál András Papp, Roger Wattenhofer:
Stabilization Time in Weighted Minority Processes. - Sahil Singla, Soheil Feizi:
Robustness Certificates Against Adversarial Examples for ReLU Networks. - Paavo Parmas, Carl Edward Rasmussen, Jan Peters, Kenji Doya:
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos. - Frank Vallentin:
Semidefinite programming bounds for error-correcting codes. - Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel:
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images. - Raffaele Giancarlo, Giovanni Manzini, Giovanna Rosone, Marinella Sciortino:
A New Class of Searchable and Provably Highly Compressible String Transformations. - Zhongliang Yang, Hao Yang, Yuting Hu, Yongfeng Huang, Yu-Jin Zhang:
Real-Time Steganalysis for Stream Media Based on Multi-channel Convolutional Sliding Windows. - Derek J. Phillips, Juan Carlos Aragon, Anjali Roychowdhury, Regina Madigan, Sunil Chintakindi, Mykel J. Kochenderfer:
Real-time Prediction of Automotive Collision Risk from Monocular Video. - Nantia Makrynioti, Vasilis Vassalos:
Declarative Data Analytics: a Survey. - Mikel Artetxe, Gorka Labaka, Eneko Agirre:
An Effective Approach to Unsupervised Machine Translation. - Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger:
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images. - Vasanth Sarathy, Thomas Arnold, Matthias Scheutz:
When Exceptions are the Norm: Exploring the Role of Consent in HRI. - Xiaohu Wu, Francesco De Pellegrini, Guanyu Gao, Giuliano Casale:
A Framework for Allocating Server Time to Spot and On-demand Services in Cloud Computing. - Josef Matous, Adam Kollarcík, Martin Gurtner, Tomás Michálek, Zdenek Hurák:
Optimization-based Feedback Manipulation Through an Array of Ultrasonic Transducers. - Nikolaj Tatti:
Safe projections of binary data sets. - Barbara McGillivray, Mathias Astell:
The relationship between usage and citations in an open access mega journal. - Nikolaj Tatti:
Distances between Data Sets Based on Summary Statistics. - Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus, Sonja Kirchhoff:
Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification. - Brahim Aamer, Hatim Chergui, Nouamane Chergui, Kamel Tourki, Mustapha Benjillali, Christos V. Verikoukis, Mérouane Debbah:
Self-Tuning Spectral Clustering for Adaptive Tracking Areas Design in 5G Ultra-Dense Networks. - Michael D. Ekstrand, Joseph A. Konstan:
Recommender Systems Notation: Proposed Common Notation for Teaching and Research. - Juri Opitz, Anette Frank:
An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling. - Giovanni Cherubin, Konstantinos Chatzikokolakis, Catuscia Palamidessi:
F-BLEAU: Fast Black-box Leakage Estimation. - Dimitrios Kouzapas, Ramunas Gutkovas, A. Laura Voinea, Simon J. Gay:
A Session Type System for Asynchronous Unreliable Broadcast Communication. - Andrea Munari, Nina Grosheva, Ljiljana Simic, Petri Mähönen:
Performance of Radar and Communication Networks Coexisting in Shared Spectrum Bands. - Murat Dener, M. Hanefi Calp:
Solving The Exam Scheduling Problems in Central Exams With Genetic Algorithms. - M. Hanefi Calp:
Evaluation of Multidisciplinary Effects of Artificial Intelligence with Optimization Perspective. - Muhammed O. Sayin, Tamer Basar:
Deception-As-Defense Framework for Cyber-Physical Systems. - Haoran Li, Yang Weng, Yizheng Liao, Brian Keel, Kenneth E. Brown:
Robust Hidden Topology Identification in Distribution Systems. - Meghna Khaturia, Pranav Jha, Abhay Karandikar:
Connecting the Unconnected: Towards Frugal 5G Network Architecture and Standardization. - Jiatao Gu, Qi Liu, Kyunghyun Cho:
Insertion-based Decoding with automatically Inferred Generation Order. - Amrita Mazumdar, Brandon Haynes, Magdalena Balazinska, Luis Ceze, Alvin Cheung, Mark Oskin:
Vignette: Perceptual Compression for Video Storage and Processing Systems. - Wei Liu, Xianxu Hou, Jiang Duan, Guoping Qiu:
End-to-End Single Image Fog Removal using Enhanced Cycle Consistent Adversarial Networks. - Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges, Jonathan Harper, Hunter Henry, Adam Crespi, Julian Togelius, Danny Lange:
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning. - Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Miguel Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato:
Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English. - Yuan Cao, Quanquan Gu:
A Generalization Theory of Gradient Descent for Learning Over-parameterized Deep ReLU Networks. - Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra:
Embodied Multimodal Multitask Learning. - Zihang Dai, Guokun Lai, Yiming Yang, Shinjae Yoo:
Re-examination of the Role of Latent Variables in Sequence Modeling. - Karthikeya S. Parunandi, Suman Chakravorty:
T-PFC: A Trajectory-Optimized Perturbation Feedback Control Approach. - Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White:
Fine-Grained Temporal Relation Extraction. - Wajih Ullah Baig, Adeel Ejaz, Umar Munir, Kashif Sardar:
Partial Fingerprint Detection Using Core Point Location. - Paul Griffioen, Sean Weerakkody, Bruno Sinopoli:
A Moving Target Defense for Securing Cyber-Physical Systems. - Cengiz Pehlevan:
A Spiking Neural Network with Local Learning Rules Derived From Nonnegative Similarity Matching. - Junhao Li, Hang Zhang:
Blaze: Simplified High Performance Cluster Computing. - Chenge Li, Weixi Zhang, Yong Liu, Yao Wang:
Very Long Term Field of View Prediction for 360-degree Video Streaming. - Trupti Mayee Behera, Sushanta Kumar Mohapatra, Umesh Chandra Samal, Mohammed S. Khan, Mahmoud Daneshmand, Amir H. Gandomi:
Residual Energy Based Cluster-head Selection in WSNs for IoT Application. - Michele Mosca, Sebastian R. Verschoor:
Factoring semi-primes with (quantum) SAT-solvers. - Johan Mathe, Nina Miolane, Nicolas Sébastien, Jeremie Lequeux:
PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction. - Michael A. Bekos, Benjamin Niedermann, Martin Nöllenburg:
External Labeling Techniques: A Taxonomy and Survey. - Ariel Barel, Rotem Manor, Alfred M. Bruckstein:
COME TOGETHER: Multi-Agent Geometric Consensus (Gathering, Rendezvous, Clustering, Aggregation). - Mohammad Javad Amiri, Divyakant Agrawal, Amr El Abbadi:
ParBlockchain: Leveraging Transaction Parallelism in Permissioned Blockchain Systems. - Changyeob Shin, Peter Ferguson, Sahba Aghajani Pedram, Ji Ma, Erik P. Dutson, Jacob Rosen:
Learning Soft Tissue Dynamics in Image Space for Automated Bimanual Tissue Manipulation with Surgical Robots. - Domagoj Bradac, Sahil Singla, Goran Zuzic:
(Near) Optimal Adaptivity Gaps for Stochastic Multi-Value Probing. - Mathew Halm, Michael Posa:
Modeling and Analysis of Non-unique Behaviors in Multiple Frictional Impacts. - Chenge Li, Gregory Dobler, Xin Feng, Yao Wang:
TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis. - Min Ye, Emmanuel Abbe:
Recursive projection-aggregation decoding of Reed-Muller codes. - Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Bingbing Hu, Defang Chen, Can Wang:
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. - Nikolaj Tatti:
Faster way to agony: Discovering hierarchies in directed graphs. - Nikolaj Tatti, Taneli Mielikäinen, Aristides Gionis, Heikki Mannila:
What is the dimension of your binary data? - Efthymios Tzinis:
Bootstrapped Coordinate Search for Multidimensional Scaling. - Nikolaj Tatti, Aristides Gionis:
Discovering Nested Communities. - Diego Cifuentes, Shmuel Onn:
On the Complexity of Toric Ideals. - Ivo Düntsch, Günther Gediga:
Confusion matrices and rough set data analysis. - Arthur Stoutchinin, Francesco Conti, Luca Benini:
Optimally Scheduling CNN Convolutions for Efficient Memory Access. - Eshan Singh, Keerthikumara Devarajegowda, Sebastian Simon, Ralf Schnieder, Karthik Ganesan, Mohammad Rahmani Fadiheh, Dominik Stoffel, Wolfgang Kunz, Clark W. Barrett, Wolfgang Ecker, Subhasish Mitra:
Symbolic QED Pre-silicon Verification for Automotive Microcontroller Cores: Industrial Case Study. - Icaro O. de Oliveira, Keiko V. O. Fonseca, Rodrigo Minetto:
A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras. - Hassan Jameel Asghar, Ming Ding, Thierry Rakotoarivelo, Sirine Mrabet, Mohamed Ali Kâafar:
Differentially Private Release of High-Dimensional Datasets using the Gaussian Copula. - Kwang-Sung Jun, Francesco Orabona:
Parameter-free Online Convex Optimization with Sub-Exponential Noise. - Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe:
Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data. - Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad:
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation. - Maribel Fernández, Ian Mackie:
Proceedings Tenth International Workshop on Computing with Terms and Graphs, TERMGRAPH@FSCD 2018, Oxford, UK, 7th July 2018. EPTCS 288, 2019 [contents] - Cyril Grunspan, Ricardo Pérez-Marco:
Bitcoin Selfish Mining and Dyck Words. - Yuma Kishi, Tsutomu Ikegami, Shin-ichi O'Uchi, Ryousei Takano, Wakana Nogami, Tomohiro Kudoh:
Perturbative GAN: GAN with Perturbation Layers. - Jialei Chen, Yujia Xie, Kan Wang, Chuck Zhang, Mani A. Vannan, Ben Wang, Zhen Qian:
AVP: Physics-informed Data Generation for Small-data Learning. - Ryota Tanaka, Akihide Ozeki, Shugo Kato, Akinobu Lee:
An Ensemble Dialogue System for Facts-Based Sentence Generation. - Álvaro Parra Bustos, Tat-Jun Chin, Frank Neumann, Tobias Friedrich, Maximilian Katzmann:
A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints. - David Paulius, Yongqiang Huang, Roger Milton, William D. Buchanan, Jeanine Sam, Yu Sun:
Functional Object-Oriented Network for Manipulation Learning. - Fei Liu, Luke Zettlemoyer, Jacob Eisenstein:
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution. - Md Anwarul Kaium Patwary, Saurabh Kumar Garg, Byeong Kang:
Window-based Streaming Graph Partitioning Algorithm. - Jayanta Dey, Md Sanzid Bin Hossain, Mohammad Ariful Haque:
An Ensemble SVM-based Approach for Voice Activity Detection. - Huu Le, Tuan Hoang, Qianggong Zhang, Thanh-Toan Do, Anders P. Eriksson, Michael Milford:
SASSE: Scalable and Adaptable 6-DOF Pose Estimation. - Daewoo Kim, Sangwoo Moon, David Hostallero, Wan Ju Kang, Taeyoung Lee, Kyunghwan Son, Yung Yi:
Learning to Schedule Communication in Multi-agent Reinforcement Learning. - Nguyen Van Quang, Hiromasa Fujihara:
Revisiting a single-stage method for face detection. - Shushman Choudhury, Mykel J. Kochenderfer:
Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning. - Benjamin Renoust, Haolin Ren, Guy Melançon:
Animated Drag and Drop Interaction for Dynamic Multidimensional Graphs. - Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic:
Relevance Factor VAE: Learning and Identifying Disentangled Factors. - Ervin Teng, Bob Iannucci:
Learning to Learn in Simulation. - Hamidreza Alvari, Soumajyoti Sarkar, Paulo Shakarian:
Detection of Violent Extremists in Social Media. - Saurabh Srivastava, Vinay P. Namboodiri, Tadinada Vankata Prabhakar:
PUTWorkbench: Analysing Privacy in AI-intensive Systems. - Biqian Feng, Zhijun Liao, Yongpeng Wu, Juening Jin, Derrick Wing Kwan Ng, Xiang-Gen Xia, Xinbao Gong:
Joint Millimeter Wave and Microwave Wave Resource Allocation Design for Dual-Mode Base Stations. - Michel Barlaud, Antonin Chambolle, Jean-Baptiste Caillau:
Robust supervised classification and feature selection using a primal-dual method. - Antonio L. Alfeo, Mario G. C. A. Cimino, Bruno Lepri, Alex 'Sandy' Pentland, Gigliola Vaglini:
Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy. - Simon Leglaive, Laurent Girin, Radu Horaud:
A variance modeling framework based on variational autoencoders for speech enhancement. - Josh Brunner, Julian Wellman:
An Optimal Algorithm for Online Freeze-tag. - Hidehito Yabuuchi, Daisuke Taniwaki, Shingo Omura:
Low-latency job scheduling with preemption for the development of deep learning. - Prakhar Ganesh, Saket Dingliwal:
Abstractive Summarization of Spoken and Written Conversation. - Luca Bugliari Armenio, Enrico Terzi, Marcello Farina, Riccardo Scattolini:
Echo State Networks: analysis, training and predictive control. - Takayuki Ishizaki, Hampei Sasahara, Masaki Inoue, Jun-ichi Imura:
Modularity-in-Design of Dynamical Network Systems: Retrofit Control Approach. - Markus Suchi, Timothy Patten, Markus Vincze:
EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets. - Prakhar Ganesh, Saket Dingliwal, Rahul Agarwal:
Literature Survey on Finding Influential Communities in Large Scale Networks. - Eyal Weiss, Michael Margaliot:
A Generalization of Linear Positive Systems. - Steven Squires, Adam Prügel-Bennett, Mahesan Niranjan:
Minimum description length as an objective function for non-negative matrix factorization. - Francis R. Bach, Kfir Y. Levy:
A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise. - Daniel Stroud, Christian Wagner, Peer-Olaf Siebers:
Agent-Based Simulation Modelling for Reflecting on Consequences of Digital Mental Health. - Madyan Alsenwi, Nguyen Hoang Tran, Mehdi Bennis, Anupam Kumar Bairagi, Choong Seon Hong:
eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach. - Guillaume Michel, Mohammed Amine Alaoui, Alice Lebois, Amal Feriani, Mehdi Felhi:
DVOLVER: Efficient Pareto-Optimal Neural Network Architecture Search. - Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten M. Borgwardt:
Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis. - Vamoua Yachongka, Hideki Yagi:
Identification, Secrecy, Template, and Privacy-Leakage of Biometric Identification System under Noisy Enrollment. - Michael Blondin, Javier Esparza, Stefan Jaax:
Expressive Power of Oblivious Consensus Protocols. - André Mantas, Fernando M. V. Ramos:
Rama: Controller Fault Tolerance in Software-Defined Networking Made Practical. - Anis Najar, Olivier Sigaud, Mohamed Chetouani:
Interactively shaping robot behaviour with unlabeled human instructions. - Amir Varasteh, Sandra Hofmann, Nemanja Deric, Mu He, Dominic Schupke, Wolfgang Kellerer, Carmen Mas Machuca:
Mobility-Aware Joint Service Placement and Routing in Space-Air-Ground Integrated Networks. - Ruiqi Liu, Ben Boukai, Zuofeng Shang:
Optimal Nonparametric Inference via Deep Neural Network. - Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux:
Accuracy Evaluation of Overlapping and Multi-resolution Clustering Algorithms on Large Datasets. - Paolo Rossi, Alessandro Strumia, Riccardo Torre:
Bibliometrics for collaboration works. - Alathea Jensen:
Stochastic Enumeration with Importance Sampling. - Lan N. Nguyen, My T. Thai:
Network Resilience Assessment via QoS Degradation Metrics: An Algorithmic Approach. - Isabel Beichl, Alathea Jensen, Francis Sullivan:
A Sequential Importance Sampling Algorithm for Estimating Linear Extensions. - Wei Yang, Yuqing Xie, Aileen Lin, Xingyu Li, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin:
End-to-End Open-Domain Question Answering with BERTserini. - Nadia Boukhelifa, Anastasia Bezerianos, Ioan Cristian Trelea, Nathalie Perrot, Evelyne Lutton:
An Exploratory Study on Visual Exploration of Model Simulations by Multiple Types of Experts. - Paavo Parmas:
Total stochastic gradient algorithms and applications in reinforcement learning. - Kai Arulkumaran, Antoine Cully, Julian Togelius:
AlphaStar: An Evolutionary Computation Perspective. - Nikolaj Tatti:
Discovering bursts revisited: guaranteed optimization of the model parameters. - Jin Liu, Sheng He:
6D Object Pose Estimation without PnP. - Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu:
Robust Regression via Online Feature Selection under Adversarial Data Corruption. - Anders Aamand, Mikkel Abrahamsen, Jakob Bæk Tejs Knudsen, Peter M. R. Rasmussen:
Classifying Convex Bodies by their Contact and Intersection Graphs. - Lilian Besson, Rémi Bonnefoi, Christophe Moy:
GNU Radio Implementation of MALIN: "Multi-Armed bandits Learning for Internet-of-things Networks". - Davide Bacciu, Antonio Bruno:
Deep Tree Transductions - A Short Survey. - Max Aalto, Nakul Verma:
Metric Learning on Manifolds. - Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens:
An RNN-based IMM Filter Surrogate. - Besnik Fetahu, Avishek Anand, Maria Koutraki:
TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables. - Bart M. P. Jansen, László Kozma, Jesper Nederlof:
Hamiltonicity below Dirac's condition. - Genevieve Gorrell, Mehmet E. Bakir, Ian Roberts, Mark A. Greenwood, Benedetta Iavarone, Kalina Bontcheva:
Partisanship, Propaganda and Post-Truth Politics: Quantifying Impact in Online Debate. - Po-An Chen, Chi-Jen Lu:
An Alternating Algorithm for Finding Linear Arrow-Debreu Market Equilibrium. - Holger Boche, Minglai Cai, Ning Cai:
Message transmission over classical quantum channels with a Jammer with side information; correlation as resource and common randomness generating. - Alexander A. Sherstov:
The Hardest Halfspace. - Dustin Dannenhauer, Michael W. Floyd, Jonathan Decker, David W. Aha:
Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence. - Stephan Alaniz, Zeynep Akata:
XOC: Explainable Observer-Classifier for Explainable Binary Decisions. - Thomas Frerix, Matthias Nießner, Daniel Cremers:
Linear Inequality Constraints for Neural Network Activations. - Sean Vaskov, Utkarsh Sharma, Shreyas Kousik, Matthew Johnson-Roberson, Ramanarayan Vasudevan:
Guaranteed Safe Reachability-based Trajectory Design for a High-Fidelity Model of an Autonomous Passenger Vehicle. - Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto:
Mobile Information Retrieval. - Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen:
Exploiting NOMA/OMA for Multi-UAV Communications in Large-Scale Networks. - Seyedroohollah Hosseini, Xuan Guo:
Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals. - Patrícia Alves-Oliveira, Pedro Sequeira, Francisco S. Melo, Ginevra Castellano, Ana Paiva:
Empathic Robot for Group Learning: A Field Study. - Moritz Mühlenthaler, Alexander Raß, Manuel Schmitt, Rolf Wanka:
Exact Markov Chain-based Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax. - Mohammad A. Al-Jarrah, Ki-Hong Park, Arafat Al-Dweik, Mohamed-Slim Alouini:
Error Rate Analysis of Amplitude-Coherent Detection over Rician Fading Channels with Receiver Diversity. - Felix Dangel, Philipp Hennig:
A Modular Approach to Block-diagonal Hessian Approximations for Second-order Optimization Methods. - Giorgio Taricco:
MIMO Capacity with Average Total and Per-Antenna Power Constraints. - Giuseppe C. Ng:
A Study of an Agile Methodology with Scrum Approach to the Filipino Company-Sponsored I.T. Capstone Program. - Daniel Méndez Fernández, Xavier Franch, Norbert Seyff, Michael Felderer, Martin Glinz, Marcos Kalinowski, Andreas Vogelsang, Stefan Wagner, Stan Bühne, Kim Lauenroth:
Do We Preach What We Practice? Investigating the Practical Relevance of Requirements Engineering Syllabi - The IREB Case. - Süleyman Aslan, Ugur Güdükbay, B. Ugur Töreyin, A. Enis Çetin:
Deep Convolutional Generative Adversarial Networks Based Flame Detection in Video. - Wajih Halim Boukaram, George Turkiyyah, David E. Keyes:
Hierarchical Matrix Operations on GPUs: Matrix-Vector Multiplication and Compression. - Roberto Valle, José Miguel Buenaposada, Antonio Valdés, Luis Baumela:
Face Alignment using a 3D Deeply-initialized Ensemble of Regression Trees. - Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis:
Inferring the strength of social ties: a community-driven approach. - Amritanshu Agrawal, Wei Fu, Di Chen, Xipeng Shen, Tim Menzies:
How to "DODGE" Complex Software Analytics? - Ilja Kuzborskij, Nicolò Cesa-Bianchi, Csaba Szepesvári:
Distribution-Dependent Analysis of Gibbs-ERM Principle. - Tuhin Sarkar, Alexander Rakhlin, Munther A. Dahleh:
Finite-Time System Identification for Partially Observed LTI Systems of Unknown Order. - Moustafa AboulAtta, Matthias Ossadnik, Seyed-Ahmad Ahmadi:
Stabilizing Inputs to Approximated Nonlinear Functions for Inference with Homomorphic Encryption in Deep Neural Networks. - Nikolaj Tatti:
Dynamic hierarchies in temporal directed networks. - Tom Denat, Ararat Harutyunyan, Vangelis Th. Paschos:
Average-case complexity of a branch-and-bound algorithm for min dominating set. - Shane T. Mueller, Robert R. Hoffman, William J. Clancey, Abigail Emrey, Gary Klein:
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI. - Mohammad Sadnan Al Manir, Jon Haël Brenas, Christopher J. O. Baker, Arash Shaban-Nejad:
A Surveillance Infrastructure for Malaria Analytics: Provisioning Data Access and Preservation of Interoperability. - Sagar Sharma, Keke Chen:
Disguised-Nets: Image Disguising for Privacy-preserving Deep Learning. - Tomasz Arodz, Seyran Saeedi:
Quantum Sparse Support Vector Machines. - Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Emma Brunskill, Joelle Pineau:
Separating value functions across time-scales. - James Pustejovsky, Nikhil Krishnaswamy:
Situational Grounding within Multimodal Simulations. - Baraq Ghaleb, Ahmed Yassin Al-Dubai, Elias Ekonomou, Ayoub Alsarhan, Youssef Nasser, Lewis M. Mackenzie, Azzedine Boukerche:
A Survey of Limitations and Enhancements of the IPv6 Routing Protocol for Low-power and Lossy Networks: A Focus on Core Operations. - Micha Livne, David J. Fleet:
TzK: Flow-Based Conditional Generative Model. - Ang Li, Ola Spyra, Sagi Perel, Valentin Dalibard, Max Jaderberg, Chenjie Gu, David Budden, Tim Harley, Pramod Gupta:
A Generalized Framework for Population Based Training. - Sepideh Aghamolaei, Mohammad Ghodsi:
A Composable Coreset for k-Center in Doubling Metrics. - Fei Wu, Yang Cao, Thomas G. Robertazzi:
Optimal Divisible Load Scheduling for Resource-Sharing Network. - Fei Wu, Yang Cao, Thomas G. Robertazzi:
Reinforcement Learning for Optimal Load Distribution Sequencing in Resource-Sharing System. - Udaya Ghai, Elad Hazan, Yoram Singer:
Exponentiated Gradient Meets Gradient Descent. - Zeming Yu, Linhai Song, Yiying Zhang:
Fearless Concurrency? Understanding Concurrent Programming Safety in Real-World Rust Software. - Mark Koren, Saud Alsaif, Ritchie Lee, Mykel J. Kochenderfer:
Adaptive Stress Testing for Autonomous Vehicles. - Elias Benamira, Fatiha Merazka, Gunes Karabulut-Kurt:
Joint Channel Coding and Cooperative Network Coding on PSK Constellations in Wireless Networks. - Eldad Meller, Alexander Finkelstein, Uri Almog, Mark Grobman:
Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization. - Tarek Gueham, Fatiha Merazka:
An Enhanced Interleaving Frame Loss Concealment Method for Voice Over IP Network Services. - Adam Cavatassi, Thibaud Tonnellier, Warren J. Gross:
Fast Decoding of Multi-Kernel Polar Codes. - Ali Vahdat, Mouloud Belbahri, Vahid Partovi Nia:
Active Learning for High-Dimensional Binary Features. - K. V. Kostenko:
Real-time Communication between Robot PLC and PC over Ethernet-based Protocols. - Sandhya Aneja, Nagender Aneja, Md. Shohidul Islam:
IoT Device Fingerprint using Deep Learning. - Jinghao Shi, Edwin Santos, Geoffrey Challen:
Lessons from Four Years of PHONELAB Experimentation. - Igor Colin, Albert Thomas, Moez Draief:
Parallel Contextual Bandits in Wireless Handover Optimization. - Jonathan Crussell, Thomas M. Kroeger, Aaron Brown, Cynthia A. Phillips:
Virtually the Same: Comparing Physical and Virtual Testbeds. - Yahui Sun, Marcus Brazil, Doreen A. Thomas, Saman K. Halgamuge:
The Fast Heuristic Algorithms and Post-Processing Techniques to Design Large and Low-Cost Communication Networks. - Yanshi Sun, Zhiguo Ding, Xuchu Dai:
A User-Centric Cooperative Scheme for UAV Assisted Wireless Networks in Malfunction Areas. - Merim Dzaferagic, Nicola Marchetti, Irene Macaluso:
A Distributed Self-Organization Approach to Minimize the Signaling and Delay Caused by Mobility Management Function in Cellular Networks. - Lokman Sboui, Zouheir Rezki, Ahmed K. Sultan, Mohamed-Slim Alouini:
A New Relation Between Energy Efficiency and Spectral Efficiency in Wireless Communications Systems. - Walid R. Ghanem, Reem E. Mohamed, Mona Shokair, Moawad I. Dessouky:
Particle Swarm Optimization Approaches for Primary User Emulation Attack Detection and Localization in Cognitive Radio Networks. - Jingjing Wang, Chunxiao Jiang, Haijun Zhang, Yong Ren, Kwang-Cheng Chen, Lajos Hanzo:
Thirty Years of Machine Learning: The Road to Pareto-Optimal Next-Generation Wireless Networks. - Shengwei Lin, Ziqiang Ying, Kan Zheng:
Design and Implementation of Location and Activity Monitoring System Based on LoRa. - Nurul Huda Mahmood, Daniela Laselva, David Palacios, Mustafa Emara, Miltiades C. Filippou, Dong Min Kim, Isabel de la Bandera:
Multi-Channel Access Solutions for 5G New Radio. - Vasilii Semkin, Aleksei A. Ponomarenko-Timofeev, Aki Karttunen, Olga Galinina, Sergey Andreev, Yevgeni Koucheryavy:
Path Loss Characterization for Intra-Vehicle Wearable Deployments at 60 GHz. - Kristy Choi, Mike Wu, Noah D. Goodman, Stefano Ermon:
Meta-Amortized Variational Inference and Learning. - Yang Cao, Fei Wu, Thomas G. Robertazzi:
Integrating Amdahl-like Laws and Divisible Load Theory. - Alexander LeClair, Siyuan Jiang, Collin McMillan:
A Neural Model for Generating Natural Language Summaries of Program Subroutines. - Kazuki Irie, Rohit Prabhavalkar, Anjuli Kannan, Antoine Bruguier, David Rybach, Patrick Nguyen:
Model Unit Exploration for Sequence-to-Sequence Speech Recognition. - Alex Nowak-Vila, Francis R. Bach, Alessandro Rudi:
A General Theory for Structured Prediction with Smooth Convex Surrogates. - Daniel Gibney, Sharma V. Thankachan:
On the Hardness and Inapproximability of Recognizing Wheeler Graphs. - Daniel Lemire, Owen Kaser, Nathan Kurz:
Faster Remainder by Direct Computation: Applications to Compilers and Software Libraries. - Christopher M. Bender, Juan Jose Garcia, Kevin O'Connor, Junier Oliva:
Permutation Invariant Likelihoods and Equivariant Transformations. - Hamidreza Alvari, Paulo Shakarian:
Hawkes Process for Understanding the Influence of Pathogenic Social Media Accounts. - Harish Kumar, Balaraman Ravindran:
Polyphonic Music Composition with LSTM Neural Networks and Reinforcement Learning. - Alireza Javani, Zhiying Wang:
Age of Information in Multiple Sensing of a Single Source. - Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo:
Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks. - Milad Afzalan, Farrokh Jazizadeh:
An Automated Spectral Clustering for Multi-scale Data. - Yiming Cai, Junbo Zhang, Weizhou Yu:
A Predictor-Corrector Method for Power System Variable Step Numerical Simulation. - Yang Cao, Fei Wu, Thomas G. Robertazzi:
Scheduling and Trade-off Analysis for Multi-Source Multi-Processor Systems with Divisible Loads. - Keigo Kawamura, Yoshimasa Tsuruoka:
Neural Fictitious Self-Play on ELF Mini-RTS. - (Withdrawn) Robust Matrix Completion State Estimation in Distribution Systems.
- Clemens Grabmayer:
Modeling Terms by Graphs with Structure Constraints (Two Illustrations). 1-13 - Wolfram Kahl, Yuhang Zhao:
Semantics-Preserving DPO-Based Term Graph Rewriting. 26-37 - Mitsuhiro Okada, Yuta Takahashi:
On Quasi Ordinal Diagram Systems. 38-49 - János Varga:
Finding the Transitive Closure of Functional Dependencies using Strategic Port Graph Rewriting. 50-62 - Tianyu Zhang, Tao Gong, Song Han, Qingxu Deng, Xiaobo Sharon Hu:
Fully Distributed Packet Scheduling Framework for Handling Disturbances in Lossy Real-Time Wireless Networks. - Juyeon Heo, Sunghwan Joo, Taesup Moon:
Fooling Neural Network Interpretations via Adversarial Model Manipulation. - Jinshan Zeng, Shaobo Lin, Yuan Yao:
A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning. - Himangshu Kalita, Jekan Thangavelautham:
Motion Planning on an Asteroid Surface with Irregular Gravity Fields. - Derui Wang, Chaoran Li, Sheng Wen, Surya Nepal, Yang Xiang:
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples. - Naoya Takeishi, Yoshinobu Kawahara:
Regularizing Generative Models Using Knowledge of Feature Dependence. - Konstantinos Makantasis, Anastasios D. Doulamis, Nikolaos Doulamis, Athanasios Voulodimos:
Common Mode Patterns for Supervised Tensor Subspace Learning. - Satya Almasian, Andreas Spitz, Michael Gertz:
Word Embeddings for Entity-annotated Texts. - Carlos Vega, Javier Aracil, Eduardo Magaña:
KISS methodologies for network management and anomaly detection. - Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini:
Widely Linear Kernels for Complex-Valued Kernel Activation Functions. - Punarjay Chakravarty, Praveen Narayanan, Tom Roussel:
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping. - Minseok Choi, Joongheon Kim:
Blind Signal Classification Analysis and Impact on User Scheduling and Power Allocation in Nonorthogonal Multiple Access. - Leonid Gremyachikh, Dmitrii Dubov, Nikita Kazeev, Andrey Kulibaba, Andrey Skuratov, Anton Tereshkin, Andrey Ustyuzhanin, Lubov Shiryaeva, Sergej Shishkin:
Space Navigator: a Tool for the Optimization of Collision Avoidance Maneuvers. - Viviana Arrigoni, Annalisa Massini:
Fast Strassen-based $A^t A$ Parallel Multiplication. - Max F. Frenzel, Bogdan Teleaga, Asahi Ushio:
Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models. - Lukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk, Krzysztof Rataj, Michal Warchol:
Mol-CycleGAN - a generative model for molecular optimization. - Mohamed Ezzeldin A. Elshaer, Scott Wisdom, Taniya Mishra:
Transfer Learning From Sound Representations For Anger Detection in Speech. - Andrea Pozzi, Massimo Zambelli, Antonella Ferrara, Davide Martino Raimondo:
Balancing-Aware Charging Strategy For Series-Connected Lithium-Ion Cells: A Nonlinear Model Predictive Control Approach. - Victor Magron, Henning Seidler, Timo de Wolff:
Exact Optimization via Sums of Nonnegative Circuits and Sums of AM/GM Exponentials. - Félix Díaz-Hermida, Marcos Matabuena, Juan Carlos Vidal:
The FA Quantifier Fuzzification Mechanism: analysis of convergence and efficient implementations. - Christof Löding, Anton Pirogov:
Determinization of Büchi Automata: Unifying the Approaches of Safra and Muller-Schupp. - Ettore Rizza, Anne Chardonnens, Seth van Hooland:
Close-reading of Linked Data: a case study in regards to the quality of online authority files. - Dwarikanath Mahapatra, Behzad Bozorgtabar:
Progressive Generative Adversarial Networks for Medical Image Super resolution. - Mouadh Ayachi:
Etude de la Distribution de Calculs Creux sur une Grappe Multi-coeurs. - Pierre Coupechoux, Marc Demange, David Ellison, Bertrand Jouve:
Firefighting on Trees. - Baohua Sun, Lin Yang, Catherine Chi, Wenhan Zhang, Michael Lin:
Squared English Word: A Method of Generating Glyph to Use Super Characters for Sentiment Analysis. - Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha P. Talukdar:
AD3: Attentive Deep Document Dater. - M. R Akram, C. P Singhabahu, M. S. M. Saad, P Deleepa, Anupiya Nugaliyadde, Yashas Mallawarachchi:
Adaptive Artificial Intelligent Q&A Platform. - Nasr Al-Zaben, Md Mehedi Hassan Onik, Chul-Soo Kim, Jinhong Yang:
Communication Interface Identifier Protocol (CIIP): An Energy Efficient Protocol for smaller IoT Sensor. - Vaibhav Bajpai, Anna Brunström, Anja Feldmann, Wolfgang Kellerer, Aiko Pras, Henning Schulzrinne, Georgios Smaragdakis, Matthias Wählisch, Klaus Wehrle:
The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research. - Yuxin Hou, Arno Solin, Juho Kannala:
Unstructured Multi-View Depth Estimation Using Mask-Based Multiplane Representation. - Lukas Schmelzeisen, Steffen Staab:
Learning Taxonomies of Concepts and not Words using Contextualized Word Representations: A Position Paper. - Dalina Aidee Villa, Igor Barahona, Luis Javier Álvarez:
Diseño de un espacio semántico sobre la base de la Wikipedia. Una propuesta de análisis de la semántica latente para el idioma español. - Ryosuke Abe:
Blockchain Storage Load Balancing Among DHT Clustered Nodes. - Sayyed-Ali Hossayni, Yousef Alizadeh-Q, Vahid Tavana, Seyed M. Hosseini Nejad, Mohammad-R. Akbarzadeh-T., Esteve del Acebo, Josep Lluís de la Rosa i Esteva, Enrico Grosso, Massimo Tistarelli, Przemyslaw Kudlacik:
A Linear-complexity Multi-biometric Forensic Document Analysis System, by Fusing the Stylome and Signature Modalities. - Logan Martel, Edward Newell, Drew Margolin, Derek Ruths:
Assessing Partisan Traits of News Text Attributions. - Andrea Galassi, Marco Lippi, Paolo Torroni:
Attention, please! A Critical Review of Neural Attention Models in Natural Language Processing. - Wojciech Marian Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg:
Distilling Policy Distillation. - Philip Bille, Inge Li Gørtz, Pawel Gawrychowski, Gad M. Landau, Oren Weimann:
Top Tree Compression of Tries. - Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho:
Non-Monotonic Sequential Text Generation. - Romain Edelmann, Viktor Kuncak:
Neural-Network Guided Expression Transformation. - Ioannis P. Georgakis, Ilias I. Giannakopoulos, Mikhail S. Litsarev, Athanasios G. Polimeridis:
A Fast Volume Integral Equation Solver with Linear Basis Functions for the Accurate Computation of Electromagnetic Fields in MRI. - Akbar Rafiey, Arash Rafiey, Thiago Santos:
Toward a Dichotomy for Approximation of $H$-coloring. - Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Philipp Loick:
Information-theoretic and algorithmic thresholds for group testing. - Nam Vu-Bac, Thang X. Duong, Tom Lahmer, Xiaoying Zhuang, Roger Andrew Sauer, H. S. Parke, Timon Rabczuk:
A NURBS-based Inverse Analysis for Reconstruction of Nonlinear Deformations of Thin Shell Structures. - Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze:
Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations. - Shervin Rahimzadeh Arashloo, Josef Kittler:
Robust One-Class Kernel Spectral Regression. - Yuri Murillo, Alessandro Chiumento, Brecht Reynders, Sofie Pollin:
SDN On BLE: Controlling Resource Constrained Mesh Networks. - Shaofeng Zou, Tengyu Xu, Yingbin Liang:
Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation. - Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu:
Equal Opportunity in Online Classification with Partial Feedback. - Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang:
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. - Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig:
Generative Image Translation for Data Augmentation of Bone Lesion Pathology. - Pierre-Etienne Meunier, Damien Regnault:
Non-cooperatively assembling large structures: a 2D pumping lemma cannot be as powerful as its 1D counterpart. - Kaveh Fathian, Kasra Khosoussi, Parker C. Lusk, Yulun Tian, Jonathan P. How:
CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multi-Agent Data Association. - Eliya Nachmani, Lior Wolf:
Unsupervised Polyglot Text To Speech. - Saad Kriouile, Maialen Larrañaga, Mohamad Assaad:
Whittle Index Policy for Multichannel Scheduling in Queueing Systems. - Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante:
A Guiding Principle for Causal Decision Problems. - Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover:
Information Flow in Computational Systems. - Kalvik Jakkala, Arupjyoti Bhuyan, Zhi Sun, Pu Wang, Zhuo Cheng:
Deep CSI Learning for Gait Biometric Sensing and Recognition. - Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N. Balasubramanian:
Neural Network Attributions: A Causal Perspective. - Sayan Bhattacharya, Monika Henzinger, Stefan Neumann:
New Amortized Cell-Probe Lower Bounds for Dynamic Problems. - Muhammed Ali Sit, Ibrahim Demir:
Decentralized Flood Forecasting Using Deep Neural Networks. - Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Stanley J. Osher:
CESMA: Centralized Expert Supervises Multi-Agents. - Nicholas Carlini:
Is AmI (Attacks Meet Interpretability) Robust to Adversarial Examples? - Neama Abdulaziz Dahan, Fadl Mutaher Ba-Alwi:
Extending a model for ontology-based Arabic-English machine translation. - Kamellia Reshadi:
Unary Patterns of Size Four with Morphic Permutations. - Jacob Jackson, John Schulman:
Semi-Supervised Learning by Label Gradient Alignment. - Kai-Cheng Yang, Pik-Mai Hui, Filippo Menczer:
Bot Electioneering Volume: Visualizing Social Bot Activity During Elections. - Dongming Wei, Zhengwang Wu, Gang Li, Xiaohuan Cao, Dinggang Shen, Qian Wang:
Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images. - Anastasiia Butko, Florent Bruguier, David Novo, Abdoulaye Gamatié, Gilles Sassatelli:
Exploration of Performance and Energy Trade-offs for Heterogeneous Multicore Architectures. - Oded Ben-David, Zohar Ringel:
The role of a layer in deep neural networks: a Gaussian Process perspective. - Guillaume Alain, Nicolas Le Roux, Pierre-Antoine Manzagol:
Negative eigenvalues of the Hessian in deep neural networks. - Paul A. Yushkevich, Ahmed H. Aly, Jiancong Wang, Long Xie, Robert C. Gorman, Alison M. Pouch, Laurent Younes:
Diffeomorphic Medial Modeling. - Xiang Fu, Shangdi Yu, Austin R. Benson:
Modeling and Analysis of Tagging Networks in Stack Exchange Communities. - Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno:
Centroid-based deep metric learning for speaker recognition. - Christopher Rackauckas, Mike Innes, Yingbo Ma, Jesse Bettencourt, Lyndon White, Vaibhav Dixit:
DiffEqFlux.jl - A Julia Library for Neural Differential Equations. - Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko:
Compression of Recurrent Neural Networks for Efficient Language Modeling. - Yiming Wang, Xing Fan, I-Fan Chen, Yuzong Liu, Tongfei Chen, Björn Hoffmeister:
End-to-end Anchored Speech Recognition. - Mark Ibrahim, Melissa Louie, Ceena Modarres, John W. Paisley:
Global Explanations of Neural Networks: Mapping the Landscape of Predictions. - Alexander Ororbia, Ahmed Ahmed Elsaid, Travis Desell:
Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution. - Nikolaj Tatti, Jilles Vreeken:
Finding Good Itemsets by Packing Data. - Suda Bharadwaj, Rayna Dimitrova, Ufuk Topcu:
Distributed Synthesis of Surveillance Strategies for Mobile Sensors. - Ankit Dhall, Dengxin Dai, Luc Van Gool:
Real-time 3D Traffic Cone Detection for Autonomous Driving. - William Kretschmer:
$\mathsf{QMA}$ Lower Bounds for Approximate Counting. - Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn:
Toward A Neuro-inspired Creative Decoder. - Brian Xu, Mitra Mohtarami, James R. Glass:
Adversarial Domain Adaptation for Stance Detection. - Adam Cavatassi, Thibaud Tonnellier, Warren J. Gross:
Asymmetric Construction of Low-Latency and Length-Flexible Polar Codes. - Tim Cooijmans, James Martens:
On the Variance of Unbiased Online Recurrent Optimization. - Vasishtha Sriram Jayapati, Ajay Venkitaraman:
A Comparison of Information Retrieval Techniques for Detecting Source Code Plagiarism. - Stanko Novakovic, Yizhou Shan, Aasheesh Kolli, Michael Cui, Yiying Zhang, Haggai Eran, Liran Liss, Michael Wei, Dan Tsafrir, Marcos K. Aguilera:
Storm: a fast transactional dataplane for remote data structures. - Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives. - Qiwei Xie, Liang Tang, Weifu Li, Vijay John, Yong Hu:
Principal Model Analysis Based on Partial Least Squares. - Chin Ho Lee:
Fourier bounds and pseudorandom generators for product tests. - Haoran Yu, Ermin Wei, Randall A. Berry:
Analyzing Location-Based Advertising for Vehicle Service Providers Using Effective Resistances. - Bowen Yi, Slobodan N. Vukosavic, Romeo Ortega, Aleksandar M. Stankovic, Weidong Zhang:
A New Signal Injection-based Method for Estimation of Position in Salient Permanent Magnet Synchronous Motors. - Shreyas Ramakrishna, Abhishek Dubey, Matthew P. Burruss, Charles Hartsell, Nagabhushan Mahadevan, Saideep Nannapaneni, Aron Laszka, Gabor Karsai:
Augmenting Learning Components for Safety in Resource Constrained Autonomous Robots. - Paola Quaglia:
Walking on SR-automata to detect grammar ambiguity. - Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hong-cheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp:
Artificial Intelligence for Prosthetics - challenge solutions. - Sunil Mallya, J. Marc Overhage, Navneet Srivastava, Tatsuya Arai, Cole Erdman:
Effectiveness of LSTMs in Predicting Congestive Heart Failure Onset. - Shuai Wang, Lei Cheng, Minghua Xia, Yik-Chung Wu:
Massive MIMO Multicast Beamforming Via Accelerated Random Coordinate Descent. - Byung Hyun Lee, Se Young Chun:
Speeding up scaled gradient projection methods using deep neural networks for inverse problems in image processing. - Magauiya Zhussip, Shakarim Soltanayev, Se Young Chun:
Theoretical analysis on Noise2Noise using Stein's Unbiased Risk Estimator for Gaussian denoising: Towards unsupervised training with clipped noisy images. - Jerry Li, Aleksandar Nikolov, Ilya P. Razenshteyn, Erik Waingarten:
On Mean Estimation for General Norms with Statistical Queries. - Yusuf Sulistyo Nugroho, Hideaki Hata, Kenichi Matsumoto:
How Different Are Different diff Algorithms in Git? Use -histogram for Code Changes. - Mark Harvilla, Jincheng Du:
Prospective Hybrid Consensus for Project PAI. - Jincheng Du, Dan Fang, Mark Harvilla:
PAI Data, Summary of the Project PAI Data Protocol. - Qingqing Wu, Weidong Mei, Rui Zhang:
Safeguarding Wireless Network with UAVs: A Physical Layer Security Perspective. - Wesley J. Maddox, Timur Garipov, Pavel Izmailov, Dmitry P. Vetrov, Andrew Gordon Wilson:
A Simple Baseline for Bayesian Uncertainty in Deep Learning. - Lahiru D. Chamain, Prathapasinghe Dharmawansa, Saman Atapattu, Chintha Tellambura:
Eigenvalue Based Detection of a Signal in Colored Noise: Finite and Asymptotic Analyses. - Ayyoob Hamza, Dinesha Ranathunga, Hassan Habibi Gharakheili, Theophilus Benson, Matthew Roughan, Vijay Sivaraman:
Verifying and Monitoring IoTs Network Behavior using MUD Profiles. - Giulia Michieletto, Angelo Cenedese, Luca Zaccarian, Antonio Franchi:
Hierarchical non-linear control for multi-rotor asymptotic stabilization based on zero-moment direction. - Xinrui Cui, Dan Wang, Z. Jane Wang:
CHIP: Channel-wise Disentangled Interpretation of Deep Convolutional Neural Networks. - Pavel S. Ruzankin:
A fast algorithm for constructing balanced binary search trees. - Leon Bosnjak, Bostjan Brumen:
Shoulder Surfing: From An Experimental Study to a Comparative Framework. - Jinyang Yuan, Bin Li, Xiangyang Xue:
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping. - Tai Hoang, Huy Le, Tho Quan:
Towards Autoencoding Variational Inference for Aspect-based Opinion Summary. - K. B. Nakshatrala, M. S. Joshaghani:
On interface conditions for flows in coupled free-porous media. - Massimiliano Gargiulo:
Advances on CNN-based super-resolution of Sentinel-2 images. - Matthew Stephenson, Jochen Renz:
Agent-Based Adaptive Level Generation for Dynamic Difficulty Adjustment in Angry Birds. - Ermin Sakic, Wolfgang Kellerer:
BFT Protocols for Heterogeneous Resource Allocations in Distributed SDN Control Plane. - Lin Gao, Giorgio Battistelli, Luigi Chisci, Ping Wei:
Distributed Joint Sensor Registration and Multitarget Tracking Via Sensor Network. - Kiran Kumari, Bijnan Bandyopadhyay, Kyung-Soo Kim, Hyungbo Shim:
Output feedback based event-triggered sliding mode control for delta operator systems. - Fedor V. Fomin, Petr A. Golovach, Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Meirav Zehavi:
Going Far From Degeneracy. - Tiago Ramalho, Marta Garnelo:
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module. - Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
In-Memory and Error-Immune Differential RRAM Implementation of Binarized Deep Neural Networks. - Erik Sy, Moritz Moennich, Tobias Mueller, Hannes Federrath, Mathias Fischer:
Enhanced Performance for the encrypted Web through TLS Resumption across Hostnames. - Ivan Heibi, Silvio Peroni, David M. Shotton:
Crowdsourcing open citations with CROCI - An analysis of the current status of open citations, and a proposal.