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ORCIDCoRR, March 2020
- Utz Nisslmueller, Klaus-Tycho Foerster, Stefan Schmid, Christian Decker:
Toward Active and Passive Confidentiality Attacks On Cryptocurrency Off-Chain Networks.
- El-Mahdi El-Mhamdi, Rachid Guerraoui, Sébastien Rouault:
Distributed Momentum for Byzantine-resilient Learning. - Romina Abachi, Mohammad Ghavamzadeh, Amir-massoud Farahmand:
Policy-Aware Model Learning for Policy Gradient Methods. - Martín Ceresa, Felipe Gorostiaga, César Sánchez:
Declarative Stream Runtime Verification (hLola). - Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu:
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation. - Pamela Bilo Thomas, Rachel Krohn, Tim Weninger:
Library Adoption Dynamics in Software Teams. - Sepanta Zeighami, Gabriel Ghinita, Cyrus Shahabi:
Dynamic Skyline Queries on Encrypted Data Using Result Materialization. - Kevin Lin, Lijuan Wang, Ying Jin, Zicheng Liu, Ming-Ting Sun:
Learning Nonparametric Human Mesh Reconstruction from a Single Image without Ground Truth Meshes. - Stefanie Scherzinger, Sebastian Sidortschuck:
An Empirical Study on the Design and Evolution of NoSQL Database Schemas. - Thomas Magelinski, Mihovil Bartulovic, Kathleen M. Carley:
Modularity-Deltas: a Semi-Global Centrality Measure for Complex Networks. - Hamid Gharavi, Bin Hu:
Deterministic Intra-Vehicle Communications: Timing and Synchronization. - Gustavo Assunção
, Nuno Gonçalves, Paulo Menezes:
Bio-Inspired Modality Fusion for Active Speaker Detection. - Marijan Palmisano, Martin Steinberger, Martin Horn:
Finite-horizon Linear Quadratic Control for Networked Control Systems with non-distributed plants. - Jacob A. George, Anna Neibling, Michael D. Paskett, Gregory A. Clark:
Inexpensive surface electromyography sleeve with consistent electrode placement enables dexterous and stable prosthetic control through deep learning. - Kambiz Azarian, Yash Bhalgat, Jinwon Lee, Tijmen Blankevoort:
Learned Threshold Pruning. - Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova:
Transferring Dense Pose to Proximal Animal Classes. - Eren Balevi, Jeffrey G. Andrews:
High Rate Communication over One-Bit Quantized Channels via Deep Learning and LDPC Codes. - Mohit Daga:
Improved Algorithm for Min-Cuts in Distributed Networks. - Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang:
Jointly Learning to Recommend and Advertise. - Nikos Batsaras, Giorgos Saloustros, Anastasios Papagiannis, Panagiota Fatourou, Angelos Bilas:
VAT: Asymptotic Cost Analysis for Multi-Level Key-Value Stores. - Wissam Antoun, Fady Baly, Hazem M. Hajj:
AraBERT: Transformer-based Model for Arabic Language Understanding. - Jianbo Jiao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-supervised Representation Learning for Ultrasound Video. - John H. Kastner, Hong Wei, Hanan Samet:
Viewing the Progression of the Novel Corona Virus (COVID-19) with NewsStand. - Dominik Danko, Suat Mercan, Mumin Cebe, Kemal Akkaya:
Assuring the Integrity of Videos from Wireless-based IoT Devices using Blockchain. - Grace Dinh, James Demmel:
Communication-Optimal Tilings for Projective Nested Loops with Arbitrary Bounds. - Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang:
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines. - Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck:
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing. - Duc P. Truong, Erik Skau, Vladimir I. Valtchinov, Boian S. Alexandrov:
Determination of Latent Dimensionality in International Trade Flow. - Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy:
Image Hashing by Minimizing Independent Relaxed Wasserstein Distance. - Luting Yang, Bingqian Lu, Shaolei Ren:
A Note on Latency Variability of Deep Neural Networks for Mobile Inference. - Huckleberry Febbo, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal:
NLOptControl: A modeling language for solving optimal control problems. - Nupur Patanker, Sanjay Kumar Singh:
A new construction of Algebraic Geometry code using Trace function. - Ahmed T. Elthakeb, Prannoy Pilligundla, Fatemehsadat Mireshghallah, Tarek Elgindi, Charles-Alban Deledalle, Hadi Esmaeilzadeh:
Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization. - John Demme:
A Compiler Infrastructure for FPGA and ASIC Development. - Jonathan Frankle, David J. Schwab, Ari S. Morcos:
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs. - Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill:
Learning Near Optimal Policies with Low Inherent Bellman Error. - Tao Ji, Liqian Chen, Xiaoguang Mao, Xin Yi, Jiahong Jiang:
Automated Regression Unit Test Generation for Program Merges. - Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang:
Decentralized Multi-player Multi-armed Bandits with No Collision Information. - Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu:
Towards Using Count-level Weak Supervision for Crowd Counting. - Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Depth-Adaptive Graph Recurrent Network for Text Classification. - Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, S. Ali Etemad:
Attention-aware fusion RGB-D face recognition. - Xiang Zhang, Qingqing Yang, Jinru Ding, Ziyue Wang:
Entity Profiling in Knowledge Graphs. - Daliang Xu, Dongwei Chen, Chun Yang, Kang Sun, Xu Cheng, Dong Tong:
DangKiller: Eliminating Dangling Pointers Efficiently via Implicit Identifier. - Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
TAdam: A Robust Stochastic Gradient Optimizer. - Yu-Chen Sung, Sagar V. Patil, Michael G. Safonov:
Robustness of Uncertain Switching Nonlinear Feedback Systems against Large Time-Variation. - Maosheng Ye, Shuangjie Xu, Tongyi Cao:
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection. - Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue:
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. - Meng Tian, Liang Pan, Marcelo H. Ang Jr., Gim Hee Lee:
Robust 6D Object Pose Estimation by Learning RGB-D Features. - Dylan J. Foster, Max Simchowitz:
Logarithmic Regret for Adversarial Online Control. - Ruqi Zhang, A. Feder Cooper, Christopher De Sa:
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC. - Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe:
First Order Motion Model for Image Animation. - Longlong Jing, Toufiq Parag, Zhe Wu, Yingli Tian, Hongcheng Wang:
VideoSSL: Semi-Supervised Learning for Video Classification. - Xiaopeng Mo, Jie Xu:
Energy-Efficient Federated Edge Learning with Joint Communication and Computation Design. - Chaehan So:
What Emotions Make One or Five Stars? Understanding Ratings of Online Product Reviews by Sentiment Analysis and XAI. - Pankaj K. Agarwal, Hsien-Chih Chang, Subhash Suri, Allen Xiao, Jie Xue:
Dynamic geometric set cover and hitting set. - Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee:
Contextual Policy Reuse using Deep Mixture Models. - Congqi Cao, Yanning Zhang:
Learning to Compare Relation: Semantic Alignment for Few-Shot Learning. - Hanyu Li, Yuanyang Zhu:
Randomized block Krylov space methods for trace and log-determinant estimators. - Xing Fan, Hao Luo, Chi Zhang, Wei Jiang:
Cross-Spectrum Dual-Subspace Pairing for RGB-infrared Cross-Modality Person Re-Identification. - Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo:
Channel Equilibrium Networks for Learning Deep Representation. - Sebastiano Boscarino, Seung-Yeon Cho, Giovanni Russo, Seok-Bae Yun:
Convergence estimates of a semi-Lagrangian scheme for the ellipsoidal BGK model for polyatomic molecules. - Yutao Hu, Xiaolong Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao, David S. Doermann:
NAS-Count: Counting-by-Density with Neural Architecture Search. - Xuan Su, Wee Sun Lee, Zhen Zhang:
Multiplicative Gaussian Particle Filter. - Yingshi Chen:
Deep differentiable forest with sparse attention for the tabular data. - Tim von Oehsen, Alexander Fabisch, Shivesh Kumar, Frank Kirchner:
Comparison of Distal Teacher Learning with Numerical and Analytical Methods to Solve Inverse Kinematics for Rigid-Body Mechanisms. - Padraig Corcoran:
An End-to-End Graph Convolutional Kernel Support Vector Machine. - Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor:
Performance Analysis and Optimization in Privacy-Preserving Federated Learning. - Raza Rahi, Sumant Pushp, Arif Khan, Smriti Kumar Sinha:
A Finite State Transducer Based Morphological Analyzer of Maithili Language. - Miel Sharf:
On the Sample Complexity of Data-Driven Inference of the L2-gain. - Cao Vien Phung, Anna Engelmann, Thomas Kuerner, Admela Jukan:
Improving THz Quality-of-Transmission with Systematic RLNC and Auxiliary Channels. - Yizhi Zhao, Hongmei Chi:
Secure Polar Coding for Adversarial Wiretap Channel. - David Kay, Vanessa Styles:
Preconditioning nonlocal multi-phase flow. - Abanoub M. Girgis, Jihong Park, Chen-Feng Liu, Mehdi Bennis:
Predictive Control and Communication Co-Design: A Gaussian Process Regression Approach. - Cao Vien Phung, Jasenka Dizdarevic, Admela Jukan:
An Experimental Study of Network Coded REST HTTP in Dynamic IoT Systems. - Mohammed A. Teeti:
Downlink Secrecy Rate of One-Bit Massive MIMO System with Active Eavesdropping. - Zhilei Liu, Yunpeng Wu, Le Li, Cuicui Zhang, Baoyuan Wu:
Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning. - Pengcheng Zhang, Jianan Yu, Shunhui Ji:
ADF-GA: Data Flow Criterion Based Test Case Generation for Ethereum Smart Contracts. - Jens Braband, Hendrik Schäbe:
On Safety Assessment of Artificial Intelligence. - Emeka Abakasanga, Nir Shlezinger, Ron Dabora:
The Rate Distortion Function of Asynchronously Sampled Memoryless Cyclostationary Gaussian Processes. - Eduardo Fernández, Kai-ke Yang, Stijn Koppen, Pablo Alarcón, Simon Bauduin, Pierre Duysinx:
Imposing minimum and maximum member size, minimum cavity size, and minimum separation distance between solid members in topology optimization. - Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, Bin Fang:
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation. - Ajaz Ahmad Bhat, Vishwanathan Mohan:
Causal Learning by a Robot with Semantic-Episodic Memory in an Aesop's Fable Experiment. - Amadeus Oertel, Titus Cieslewski, Davide Scaramuzza:
Augmenting Visual Place Recognition with Structural Cues. - Xiaoyang Guo, Anuj Srivastava:
Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs. - Gus Smith, Zachary Tatlock, Luis Ceze:
Enumerating Hardware-Software Splits with Program Rewriting. - Paul Irofti, Andra Baltoiu:
Unsupervised Dictionary Learning for Anomaly Detection. - Suat Mercan, Enes Erdin, Kemal Akkaya:
Improving Sustainability of Cryptocurrency Payment Networks for IoT Applications. - Sashank J. Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konecný, Sanjiv Kumar, H. Brendan McMahan:
Adaptive Federated Optimization. - Massimo Bartoletti, Maurizio Murgia, Roberto Zunino:
Renegotiation and recursion in Bitcoin contracts. - Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu:
Grounded and Controllable Image Completion by Incorporating Lexical Semantics. - Woojay Jeon, Leo Liu, Henry Mason:
Voice trigger detection from LVCSR hypothesis lattices using bidirectional lattice recurrent neural networks. - Chaoyue Liu, Libin Zhu, Mikhail Belkin:
Toward a theory of optimization for over-parameterized systems of non-linear equations: the lessons of deep learning. - Qingjie Meng, Daniel Rueckert, Bernhard Kainz:
Learning Cross-domain Generalizable Features by Representation Disentanglement. - Marc C. Canellas, Rachel A. Haga:
Unsafe At Any Level: NHTSA's levels of automation are a liability for autonomous vehicle design and regulation. - Luís C. Lamb, Artur S. d'Avila Garcez, Marco Gori, Marcelo O. R. Prates, Pedro H. C. Avelar, Moshe Y. Vardi:
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective. - Michael J. Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Ion Stoica:
Bipartisan Paxos: A Modular State Machine Replication Protocol. - Shrinu Kushagra:
Three-dimensional matching is NP-Hard. - Hongzhuo Liang, Chuangchuang Zhou, Shuang Li, Xiaojian Ma, Norman Hendrich, Timo Gerkmann, Fuchun Sun, Jianwei Zhang:
Robust Robotic Pouring using Audition and Haptics. - Sangdon Park, Osbert Bastani, James Weimer, Insup Lee:
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation. - Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice. - Iztok Fister Jr., Iztok Fister:
Information cartography in association rule mining. - Nicolae-Catalin Ristea, Liviu-Cristian Dutu, Anamaria Radoi:
Emotion Recognition System from Speech and Visual Information based on Convolutional Neural Networks. - Aikaterini Aretaki, Efthymios N. Karatzas:
Random geometries and Quasi Monte Carlo methods for optimal control PDE problems based on fictitious domain FEMS and cut elements. - Wei-Hung Weng, Yu-An Chung, Schrasing Tong:
Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification. - Xiao Xu, Fang Dong, Yanghua Li, Shaojian He, Xin Li:
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests. - Adam N. Elmachtoub, Jason Cheuk Nam Liang, Ryan McNellis:
Decision Trees for Decision-Making under the Predict-then-Optimize Framework. - Semih Cayci, Atilla Eryilmaz, R. Srikant:
Budget-Constrained Bandits over General Cost and Reward Distributions. - Steve Macenski, Francisco Martín, Ruffin White, Jonatan Ginés Clavero:
The Marathon 2: A Navigation System. - Daniel R. Freer, Guang-Zhong Yang:
MIndGrasp: A New Training and Testing Framework for Motor Imagery Based 3-Dimensional Assistive Robotic Control. - Masashi Okada, Norio Kosaka, Tadahiro Taniguchi:
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference. - Bahman Kalantari:
A Globally Convergent Newton Method for Polynomials. - Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans:
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. - Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xiwei Xu, Liming Zhu, Guoqiang Li, Jinshui Wang:
Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning. - Chao Xu, Xijun Wang, Howard H. Yang, Hongguang Sun, Tony Q. S. Quek:
AoI and Energy Consumption Oriented Dynamic Status Updating in Caching Enabled IoT Networks. - Wenrui Lin, Xijun Wang, Chao Xu, Xinghua Sun, Xiang Chen:
Average Age of Changed Information in the Internet of Things. - Zhixin Jia, Mengxiang Lin, Zhixin Chen, Shibo Jian:
Vision-based Robot Manipulation Learning via Human Demonstrations. - William E. Gerhard III, Pratap Tokekar:
Experimental Evaluation of a Pseudo-Doppler Direction-Finding System for Localizing Radio Tags. - Shizhe Chen, Qin Jin, Peng Wang, Qi Wu:
Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs. - Jiezhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Joint Wasserstein Distribution Matching. - Mengjie Yi, Xijun Wang, Juan Liu, Yan Zhang, Bo Bai:
Deep Reinforcement Learning for Fresh Data Collection in UAV-assisted IoT Networks. - Shizhe Chen, Yida Zhao, Qin Jin, Qi Wu:
Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning. - Denis A. Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Sotaro Tsukizawa:
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision. - Abdullah Al-Noman Patwary, Anmin Fu, Ranesh Kumar Naha, Sudheer Kumar Battula, Saurabh Kumar Garg, Md Anwarul Kaium Patwary, Erfan Aghasian:
Authentication, Access Control, Privacy, Threats and Trust Management Towards Securing Fog Computing Environments: A Review. - Qi Chen, Qi Wu, Rui Tang, Yuhan Wang, Shuai Wang, Mingkui Tan:
Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only. - Hugo Tremblay, Fábio Petrillo:
The cross cyclomatic complexity: a bi-dimensional measure for program complexity on graphs. - Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang:
Learn Task First or Learn Human Partner First? Deep Reinforcement Learning of Human-Robot Cooperation in Asymmetric Hierarchical Dynamic Task. - Zhenfang Chen, Peng Wang, Lin Ma, Kwan-Yee K. Wong, Qi Wu:
Cops-Ref: A new Dataset and Task on Compositional Referring Expression Comprehension. - Monther Aldwairi, Yahya Flaifel, Khaldoon Mhaidat:
Efficient Wu-Manber Pattern Matching Hardware for Intrusion and Malware Detection. - Sulan Zhai, Shunqiang Liu, Xiao Wang, Jin Tang:
FMT: Fusing Multi-task Convolutional Neural Network for Person Search. - Haokun Li, Bican Xia:
Solving Satisfiability of Polynomial Formulas By Sample-Cell Projection. - Zitian Huang, Yikuan Yu, Jiawen Xu, Feng Ni, Xinyi Le:
PF-Net: Point Fractal Network for 3D Point Cloud Completion. - Mahmood A. Khan, Md Zahidul Islam, Mohsin Hafeez:
Data Pre-Processing and Evaluating the Performance of Several Data Mining Methods for Predicting Irrigation Water Requirement.