cs.AI - 人工智能

    cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.ET - 新兴技术 cs.FL - 形式语言与自动机理论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.ST - 统计理论 physics.geo-ph - 地球物理学 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A Time Leap Challenge for SAT Solving
    • [cs.AI]DaRLing: A Datalog rewriter for OWL 2 RL ontological reasoning under SPARQL queries
    • [cs.AI]Towards Metric Temporal Answer Set Programming
    • [cs.CL]A Survey on Text Classification: From Shallow to Deep Learning
    • [cs.CL]An exploration of the encoding of grammatical gender in word embeddings
    • [cs.CL]Antibody Watch: Text Mining Antibody Specificity from the Literature
    • [cs.CL]Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring
    • [cs.CL]Computational linguistic assessment of textbook and online learning media by means of threshold concepts in business education
    • [cs.CL]Contextualized Translation of Automatically Segmented Speech
    • [cs.CL]Designing the Business Conversation Corpus
    • [cs.CL]Elsevier OA CC-By Corpus
    • [cs.CL]Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Texts
    • [cs.CL]Improving End-to-End Speech-to-Intent Classification with Reptile
    • [cs.CL]Multiple Texts as a Limiting Factor in Online Learning: Quantifying (Dis-)similarities of Knowledge Networks across Languages
    • [cs.CL]Select, Extract and Generate: Neural Keyphrase Generation with Syntactic Guidance
    • [cs.CL]Trove: Ontology-driven weak supervision for medical entity classification
    • [cs.CL]Word meaning in minds and machines
    • [cs.CR]DAEMON: Dataset-Agnostic Explainable Malware Classification Using Multi-Stage Feature Mining
    • [cs.CR]Densely Connected Residual Network for Attack Recognition
    • [cs.CR]More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
    • [cs.CV]A feature-supervised generative adversarial network for environmental monitoring during hazy days
    • [cs.CV]Active Perception using Light Curtains for Autonomous Driving
    • [cs.CV]Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes
    • [cs.CV]COALESCE: Component Assembly by Learning to Synthesize Connections
    • [cs.CV]Can You Read Me Now? Content Aware Rectification using Angle Supervision
    • [cs.CV]Compact Graph Architecture for Speech Emotion Recognition
    • [cs.CV]Component Divide-and-Conquer for Real-World Image Super-Resolution
    • [cs.CV]Deep Learning Based Early Diagnostics of Parkinsons Disease
    • [cs.CV]Deep Multi Depth Panoramas for View Synthesis
    • [cs.CV]Domain-Specific Mappings for Generative Adversarial Style Transfer
    • [cs.CV]Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning
    • [cs.CV]Entropy Guided Adversarial Model for Weakly Supervised Object Localization
    • [cs.CV]F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation
    • [cs.CV]Fast top-K Cosine Similarity Search through XOR-Friendly Binary Quantization on GPUs
    • [cs.CV]From Human Mesenchymal Stromal Cells to Osteosarcoma Cells Classification by Deep Learning
    • [cs.CV]Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies
    • [cs.CV]Graph Signal Processing for Geometric Data and Beyond: Theory and Applications
    • [cs.CV]High resolution neural texture synthesis with long range constraints
    • [cs.CV]Implicit Saliency in Deep Neural Networks
    • [cs.CV]Importance of Self-Consistency in Active Learning for Semantic Segmentation
    • [cs.CV]Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
    • [cs.CV]Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs
    • [cs.CV]MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like Diseases Diagnosis From X-ray Scans
    • [cs.CV]Multimodality Biomedical Image Registration using Free Point Transformer Networks
    • [cs.CV]NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
    • [cs.CV]PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise Interpretability
    • [cs.CV]Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model
    • [cs.CV]Point Proposal Network: Accelerating Point Source Detection Through Deep Learning
    • [cs.CV]Pose-based Modular Network for Human-Object Interaction Detection
    • [cs.CV]Self-supervised Temporal Discriminative Learning for Video Representation Learning
    • [cs.CV]Self-supervised learning using consistency regularization of spatio-temporal data augmentation for action recognition
    • [cs.CV]Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation
    • [cs.CV]Subclass Contrastive Loss for Injured Face Recognition
    • [cs.CV]Synthetic to Real Unsupervised Domain Adaptation for Single-Stage Artwork Recognition in Cultural Sites
    • [cs.CV]Tiny-YOLO object detection supplemented with geometrical data
    • [cs.CV]Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
    • [cs.CY]Aligning AI With Shared Human Values
    • [cs.CY]Forecasting AI Progress: A Research Agenda
    • [cs.CY]Machine Learning Fairness in Justice Systems: Base Rates, False Positives, and False Negatives
    • [cs.DC]A Case For Adaptive Deep Neural Networks in Edge Computing
    • [cs.DC]A Novel Approach for the Process Planning and Scheduling Problem Using the Concept of Maximum Weighted Independent Set
    • [cs.DC]Best of Both Worlds: High Performance Interactive and Batch Launching
    • [cs.DC]Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning
    • [cs.DC]High performance on-demand de-identification of a petabyte-scale medical imaging data lake
    • [cs.DC]Microservice Interface Based Deployment Orchestration
    • [cs.DC]On Decidability of 2-process Affine Models
    • [cs.DC]SISSLE in consensus-based Ripple: Some Improvements in Speed, Security, Last Mile Connectivity and Ease of Use
    • [cs.DC]Solving Dynamic Programming Problem by Pipeline Implementation on GPU
    • [cs.ET]Spiking neuromorphic chip learns entangled quantum states
    • [cs.FL]Glushkov’s construction for functional subsequential transducers
    • [cs.HC]An Augmented Reality Interaction Interface for Autonomous Drone
    • [cs.HC]More Than Accuracy: Towards Trustworthy Machine Learning Interfaces for Object Recognition
    • [cs.HC]TA-Dash: An Interactive Dashboard for Spatial-Temporal Traffic Analytics — Demo Paper
    • [cs.IR]BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation
    • [cs.IR]One word at a time: adversarial attacks on retrieval models
    • [cs.IR]Retrieve Synonymous keywords for Frequent Queries in Sponsored Search in a Data Augmentation Way
    • [cs.IR]The Role of Word-Eye-Fixations for Query Term Prediction
    • [cs.IT]A Groebner-bases approach to syndrome-based fast Chase decoding of Reed—Solomon codes
    • [cs.IT]Non-Commutative Ring Learning With Errors From Cyclic Algebras
    • [cs.IT]Novel High-Throughput Decoding Algorithms for Product and Staircase Codes based on Error-and-Erasure Decoding
    • [cs.IT]Simple Modulo can Significantly Outperform Deep Learning-based Deepcode
    • [cs.IT]Spectrally Sparse Signal Recovery via Hankel Matrix Completion with Prior Information
    • [cs.IT]Statistical Analysis of Downlink Zero-Forcing Beamforming
    • [cs.IT]Traffic Prediction Based Fast Uplink Grant for Massive IoT
    • [cs.LG]A Causal-based Framework for Multimodal Multivariate Time Series Validation Enhanced by Unsupervised Deep Learning as an Enabler for Industry 4.0
    • [cs.LG]A Relearning Approach to Reinforcement Learning for Control of Smart Buildings
    • [cs.LG]An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
    • [cs.LG]Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry
    • [cs.LG]Annealing Genetic GAN for Minority Oversampling
    • [cs.LG]Can Adversarial Weight Perturbations Inject Neural Backdoors?
    • [cs.LG]Counterfactual Explanation Based on Gradual Construction for Deep Networks
    • [cs.LG]Cross-Global Attention Graph Kernel Network Prediction of Drug Prescription
    • [cs.LG]Data Cleansing with Contrastive Learning for Vocal Note Event Annotations
    • [cs.LG]Differentially Private Accelerated Optimization Algorithms
    • [cs.LG]Explainable Predictive Process Monitoring
    • [cs.LG]FRMDN: Flow-based Recurrent Mixture Density Network
    • [cs.LG]Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals
    • [cs.LG]Fuzzy Jaccard Index: A robust comparison of ordered lists
    • [cs.LG]Generative Ensemble-Regression: Learning Stochastic Dynamics from Discrete Particle Ensemble Observations
    • [cs.LG]Graph Neural Networks: Architectures, Stability and Transferability
    • [cs.LG]Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain
    • [cs.LG]Machine Learning in Nano-Scale Biomedical Engineering
    • [cs.LG]Meta Continual Learning via Dynamic Programming
    • [cs.LG]Optimizing AD Pruning of Sponsored Search with Reinforcement Learning
    • [cs.LG]Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting
    • [cs.LG]Projecting to Manifolds via Unsupervised Learning
    • [cs.LG]Robust Deep Reinforcement Learning through Adversarial Loss
    • [cs.LG]Robust Reinforcement Learning using Adversarial Populations
    • [cs.LG]Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics
    • [cs.LG]TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning
    • [cs.LO]Modular Answer Set Programming as a Formal Specification Language
    • [cs.LO]Verifying Tight Logic Programs with anthem and vampire
    • [cs.LO]eclingo: A solver for Epistemic Logic Programs
    • [cs.MS]A parallel structured divide-and-conquer algorithm for symmetric tridiagonal eigenvalue problems
    • [cs.NE]SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic Spiking Neural Networks
    • [cs.NI]6VecLM: Language Modeling in Vector Space for IPv6 Target Generation
    • [cs.RO]A Probabilistic Model for Planar Sliding of Objects with Unknown Material Properties: Identification and Robust Planning
    • [cs.RO]A variable rest length impedance grasping strategy in the port-Hamiltonian framework
    • [cs.RO]Analysis and Transfer of Human Movement Manipulability in Industry-like Activities
    • [cs.RO]BRM Localization: UAV Localization in GNSS-Denied Environments Based on Matching of Numerical Map and UAV Images
    • [cs.RO]Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM
    • [cs.RO]Generalization Guarantees for Multi-Modal Imitation Learning
    • [cs.RO]Learning from Sparse Demonstrations
    • [cs.RO]Optimal Routing Strategies for Autonomous Underwater Vehicles in Time-Varying Environment
    • [cs.RO]Quality and Diversity in Evolutionary Modular Robotics
    • [cs.RO]Real-time and Autonomous Detection of Helipad for Landing Quad-Rotors by Visual Servoing
    • [cs.RO]Stabilization of Complementarity Systems via Contact-Aware Controllers
    • [cs.RO]Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments
    • [cs.RO]What to Do When You Can’t Do It All: Temporal Logic Planning with Soft Temporal Logic Constraints
    • [cs.SD]MusPy: A Toolkit for Symbolic Music Generation
    • [cs.SD]Neural Loop Combiner: Neural Network Models for Assessing the Compatibility of Loops
    • [cs.SD]On the Characterization of Expressive Performance in Classical Music: First Results of the Con Espressione Game
    • [cs.SE]Supporting Robotic Software Migration Using Static Analysis and Model-Driven Engineering
    • [cs.SI]GloDyNE: Global Topology Preserving Dynamic Network Embedding
    • [cs.SI]Identifying the $k$ Best Targets for an Advertisement Campaign via Online Social Networks
    • [econ.EM]Design-Based Uncertainty for Quasi-Experiments
    • [eess.AS]Content based singing voice source separation via strong conditioning using aligned phonemes
    • [eess.AS]Learning to Denoise Historical Music
    • [eess.IV]A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint
    • [eess.IV]COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring
    • [eess.IV]Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation
    • [eess.IV]Fast Nonconvex $T_2^*$ Mapping Using ADMM
    • [eess.IV]Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN
    • [eess.IV]Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs
    • [eess.IV]Stabilizing Deep Tomographic Reconstruction Networks
    • [eess.IV]Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance
    • [eess.SP]A Novel Method For Designing Transferable Soft Sensors And Its Application
    • [eess.SP]Area-wide traffic signal control based on a deep graph Q-Network (DGQN) trained in an asynchronous manner
    • [eess.SP]Integrated Traffic Simulation-Prediction System using Neural Networks with Application to the Los Angeles International Airport Road Network
    • [eess.SP]Jointly Sparse Signal Recovery and Support Recovery via Deep Learning with Applications in MIMO-based Grant-Free Random Access
    • [eess.SP]Secrecy Limits of Energy Harvesting IoT Networks under Channel Imperfections
    • [math.OC]Initialization and Curing Policies for Polya Contagion Networks
    • [math.ST]A long memory time series with a periodic degree of fractional differencing
    • [math.ST]Computational Barriers to Estimation from Low-Degree Polynomials
    • [math.ST]On the sum of ordered spacings
    • [physics.geo-ph]Unsupervised seismic facies classification using deep convolutional autoencoder
    • [physics.soc-ph]Mining Google and Apple mobility data: Twenty-one shades of European social distancing measures for COVID-19
    • [physics.soc-ph]Self-interested behaviour as a social norm
    • [q-bio.QM]Optimal Pooling Matrix Design for Group Testing with Dilution (Row Degree) Constraints
    • [stat.AP]Community Vibrancy and its Relationship with Safety in Philadelphia
    • [stat.AP]Tree Inference: Response Time in a Binary Multinomial Processing Tree, Representation and Uniqueness of Parameters
    • [stat.ME]A flexible and efficient algorithm for joint imputation of general data
    • [stat.ME]A note on tools for prediction under uncertainty and identifiability of SIR-like dynamical systems for epidemiology
    • [stat.ME]Bayesian Survival Analysis Using Gamma Processes with Adaptive Time Partition
    • [stat.ME]Biconvex Clustering
    • [stat.ME]Plotting the cumulative deviation of a subgroup from the full population as a function of score
    • [stat.ME]Scalable Multiple Changepoint Detection for Functional Data Sequences
    • [stat.ML]Graph Neural Networks with Low-rank Learnable Local Filters
    • [stat.ML]Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds
    • [stat.ML]Out-of-Distribution Generalization with Maximal Invariant Predictor
    • [stat.ML]Outlier detection in non-elliptical data by kernel MRCD
    • [stat.ML]Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model
    • [stat.ML]Sketching Datasets for Large-Scale Learning (long version)

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    • [cs.AI]A Time Leap Challenge for SAT Solving
    Johannes K. Fichte, Markus Hecher, Stefan Szeider
    http://arxiv.org/abs/2008.02215v1

    • [cs.AI]DaRLing: A Datalog rewriter for OWL 2 RL ontological reasoning under SPARQL queries
    Alessio Fiorentino, Jessica Zangari, Marco Manna
    http://arxiv.org/abs/2008.02232v1

    • [cs.AI]Towards Metric Temporal Answer Set Programming
    Pedro Cabalar, Martin Dieguez, Torsten Schaub, Anna Schuhmann
    http://arxiv.org/abs/2008.02038v1

    • [cs.CL]A Survey on Text Classification: From Shallow to Deep Learning
    Qian Li, Hao Peng, Jianxin Li, Congyin Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
    http://arxiv.org/abs/2008.00364v2

    • [cs.CL]An exploration of the encoding of grammatical gender in word embeddings
    Hartger Veeman, Ali Basirat
    http://arxiv.org/abs/2008.01946v1

    • [cs.CL]Antibody Watch: Text Mining Antibody Specificity from the Literature
    Chun-Nan Hsu, Chia-Hui Chang, Thamolwan Poopradubsil, Amanda Lo, Karen A. William, Ko-Wei Lin, Anita Bandrowski, Ibrahim Burak Ozyurt, Jeffrey S. Grethe, Maryann E. Martone
    http://arxiv.org/abs/2008.01937v1

    • [cs.CL]Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring
    Haoran Zhang, Diane Litman
    http://arxiv.org/abs/2008.01809v1

    • [cs.CL]Computational linguistic assessment of textbook and online learning media by means of threshold concepts in business education
    Andy Lücking, Sebastian Brückner, Giuseppe Abrami, Tolga Uslu, Alexander Mehler
    http://arxiv.org/abs/2008.02096v1

    • [cs.CL]Contextualized Translation of Automatically Segmented Speech
    Marco Gaido, Mattia Antonino Di Gangi, Matteo Negri, Mauro Cettolo, Marco Turchi
    http://arxiv.org/abs/2008.02270v1

    • [cs.CL]Designing the Business Conversation Corpus
    Matīss Rikters, Ryokan Ri, Tong Li, Toshiaki Nakazawa
    http://arxiv.org/abs/2008.01940v1

    • [cs.CL]Elsevier OA CC-By Corpus
    Daniel Kershaw, Rob Koeling
    http://arxiv.org/abs/2008.00774v2

    • [cs.CL]Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Texts
    Ryan J. Gallagher, Morgan R. Frank, Lewis Mitchell, Aaron J. Schwartz, Andrew J. Reagan, Christopher M. Danforth, Peter Sheridan Dodds
    http://arxiv.org/abs/2008.02250v1

    • [cs.CL]Improving End-to-End Speech-to-Intent Classification with Reptile
    Yusheng Tian, Philip John Gorinski
    http://arxiv.org/abs/2008.01994v1

    • [cs.CL]Multiple Texts as a Limiting Factor in Online Learning: Quantifying (Dis-)similarities of Knowledge Networks across Languages
    Alexander Mehler, Wahed Hemati, Pascal Welke, Maxim Konca, Tolga Uslu
    http://arxiv.org/abs/2008.02047v1

    • [cs.CL]Select, Extract and Generate: Neural Keyphrase Generation with Syntactic Guidance
    Wasi Uddin Ahmad, Xiao Bai, Soomin Lee, Kai-Wei Chang
    http://arxiv.org/abs/2008.01739v1

    • [cs.CL]Trove: Ontology-driven weak supervision for medical entity classification
    Jason A. Fries, Ethan Steinberg, Saelig Khattar, Scott L. Fleming, Jose Posada, Alison Callahan, Nigam H. Shah
    http://arxiv.org/abs/2008.01972v1

    • [cs.CL]Word meaning in minds and machines
    Brenden M. Lake, Gregory L. Murphy
    http://arxiv.org/abs/2008.01766v1

    • [cs.CR]DAEMON: Dataset-Agnostic Explainable Malware Classification Using Multi-Stage Feature Mining
    Ron Korine, Danny Hendler
    http://arxiv.org/abs/2008.01855v1

    • [cs.CR]Densely Connected Residual Network for Attack Recognition
    Peilun Wu, Nour Moustafa, Shiyi Yang, Hui Guo
    http://arxiv.org/abs/2008.02196v1

    • [cs.CR]More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
    Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu
    http://arxiv.org/abs/2008.01916v1

    • [cs.CV]A feature-supervised generative adversarial network for environmental monitoring during hazy days
    Ke Wang, Siyuan Zhang, Junlan Chen, Fan Ren, Lei Xiao
    http://arxiv.org/abs/2008.01942v1

    • [cs.CV]Active Perception using Light Curtains for Autonomous Driving
    Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held
    http://arxiv.org/abs/2008.02191v1

    • [cs.CV]Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes
    Johanna Wald, Torsten Sattler, Stuart Golodetz, Tommaso Cavallari, Federico Tombari
    http://arxiv.org/abs/2008.02004v1

    • [cs.CV]COALESCE: Component Assembly by Learning to Synthesize Connections
    Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir Kim, Hao Zhang
    http://arxiv.org/abs/2008.01936v1

    • [cs.CV]Can You Read Me Now? Content Aware Rectification using Angle Supervision
    Amir Markovitz, Inbal Lavi, Or Perel, Shai Mazor, Roee Litman
    http://arxiv.org/abs/2008.02231v1

    • [cs.CV]Compact Graph Architecture for Speech Emotion Recognition
    A. Shirian, T. Guha
    http://arxiv.org/abs/2008.02063v1

    • [cs.CV]Component Divide-and-Conquer for Real-World Image Super-Resolution
    Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin
    http://arxiv.org/abs/2008.01928v1

    • [cs.CV]Deep Learning Based Early Diagnostics of Parkinsons Disease
    Elcin Huseyn
    http://arxiv.org/abs/2008.01792v1

    • [cs.CV]Deep Multi Depth Panoramas for View Synthesis
    Kai-En Lin, Zexiang Xu, Ben Mildenhall, Pratul P. Srinivasan, Yannick Hold-Geoffroy, Stephen DiVerdi, Qi Sun, Kalyan Sunkavalli, Ravi Ramamoorthi
    http://arxiv.org/abs/2008.01815v1

    • [cs.CV]Domain-Specific Mappings for Generative Adversarial Style Transfer
    Hsin-Yu Chang, Zhixiang Wang, Yung-Yu Chuang
    http://arxiv.org/abs/2008.02198v1

    • [cs.CV]Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning
    Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig
    http://arxiv.org/abs/2008.02107v1

    • [cs.CV]Entropy Guided Adversarial Model for Weakly Supervised Object Localization
    Sabrina Narimene Benassou, Wuzhen Shi, Feng Jiang
    http://arxiv.org/abs/2008.01786v1

    • [cs.CV]F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation
    Yan Hong, Li Niu, Jianfu Zhang, Weijie Zhao, Chen Fu, Liqing Zhang
    http://arxiv.org/abs/2008.01999v1

    • [cs.CV]Fast top-K Cosine Similarity Search through XOR-Friendly Binary Quantization on GPUs
    Xiaozheng Jian, Jianqiu Lu, Zexi Yuan, Ao Li
    http://arxiv.org/abs/2008.02002v1

    • [cs.CV]From Human Mesenchymal Stromal Cells to Osteosarcoma Cells Classification by Deep Learning
    Mario D’Acunto, Massimo Martinelli, Davide Moroni
    http://arxiv.org/abs/2008.01864v1

    • [cs.CV]Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies
    Thomas Küstner, Tobias Hepp, Marc Fischer, Martin Schwartz, Andreas Fritsche, Hans-Ulrich Häring, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick, Sergios Gatidis, Jürgen Machann
    http://arxiv.org/abs/2008.02251v1

    • [cs.CV]Graph Signal Processing for Geometric Data and Beyond: Theory and Applications
    Wei Hu, Jiahao Pang, Xianming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro
    http://arxiv.org/abs/2008.01918v1

    • [cs.CV]High resolution neural texture synthesis with long range constraints
    Nicolas Gonthier, Yann Gousseau, Saïd Ladjal
    http://arxiv.org/abs/2008.01808v1

    • [cs.CV]Implicit Saliency in Deep Neural Networks
    Yutong Sun, Mohit Prabhushankar, Ghassan AlRegib
    http://arxiv.org/abs/2008.01874v1

    • [cs.CV]Importance of Self-Consistency in Active Learning for Semantic Segmentation
    S. Alireza Golestaneh, Kris M. Kitani
    http://arxiv.org/abs/2008.01860v1

    • [cs.CV]Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
    Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik
    http://arxiv.org/abs/2008.02265v1

    • [cs.CV]Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs
    Robin Rombach, Patrick Esser, Björn Ommer
    http://arxiv.org/abs/2008.01777v1

    • [cs.CV]MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like Diseases Diagnosis From X-ray Scans
    Abdullah Tarek Farag, Ahmed Raafat Abd El-Wahab, Mahmoud Nada, Mohamed Yasser Abd El-Hakeem, Omar Sayed Mahmoud, Reem Khaled Rashwan, Ahmad El Sallab
    http://arxiv.org/abs/2008.01973v1

    • [cs.CV]Multimodality Biomedical Image Registration using Free Point Transformer Networks
    Zachary M. C. Baum, Yipeng Hu, Dean C. Barratt
    http://arxiv.org/abs/2008.01885v1

    • [cs.CV]NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
    Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth
    http://arxiv.org/abs/2008.02268v1

    • [cs.CV]PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise Interpretability
    Dikshant Sagar, Jatin Garg, Prarthana Kansal, Sejal Bhalla, Rajiv Ratn Shah, Yi Yu
    http://arxiv.org/abs/2008.01780v1

    • [cs.CV]Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model
    Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão, Pablo Barros, Sergio Murilo Maciel Fernandes, Bruno J. T. Fernandes
    http://arxiv.org/abs/2008.02254v1

    • [cs.CV]Point Proposal Network: Accelerating Point Source Detection Through Deep Learning
    Duncan Tilley, Christopher W. Cleghorn, Kshitij Thorat, Roger Deane
    http://arxiv.org/abs/2008.02093v1

    • [cs.CV]Pose-based Modular Network for Human-Object Interaction Detection
    Zhijun Liang, Junfa Liu, Yisheng Guan, Juan Rojas
    http://arxiv.org/abs/2008.02042v1

    • [cs.CV]Self-supervised Temporal Discriminative Learning for Video Representation Learning
    Jinpeng Wang, Yiqi Lin, Andy J. Ma, Pong C. Yuen
    http://arxiv.org/abs/2008.02129v1

    • [cs.CV]Self-supervised learning using consistency regularization of spatio-temporal data augmentation for action recognition
    Jinpeng Wang, Yiqi Lin, Andy J. Ma
    http://arxiv.org/abs/2008.02086v1

    • [cs.CV]Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation
    Shuang Li, Binhui Xie, Jiashu Wu, Ying Zhao, Chi Harold Liu, Zhengming Ding
    http://arxiv.org/abs/2008.01677v2

    • [cs.CV]Subclass Contrastive Loss for Injured Face Recognition
    Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa
    http://arxiv.org/abs/2008.01993v1

    • [cs.CV]Synthetic to Real Unsupervised Domain Adaptation for Single-Stage Artwork Recognition in Cultural Sites
    Giovanni Pasqualino, Antonino Furnari, Giovanni Signorello, Giovanni Maria Farinella
    http://arxiv.org/abs/2008.01882v1

    • [cs.CV]Tiny-YOLO object detection supplemented with geometrical data
    Ivan Khokhlov, Egor Davydenko, Ilia Osokin, Ilya Ryakin, Azer Babaev, Vladimir Litvinenko, Roman Gorbachev
    http://arxiv.org/abs/2008.02170v1

    • [cs.CV]Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
    Lingxi Xie, Xin Chen, Kaifeng Bi, Longhui Wei, Yuhui Xu, Zhengsu Chen, Lanfei Wang, An Xiao, Jianlong Chang, Xiaopeng Zhang, Qi Tian
    http://arxiv.org/abs/2008.01475v2

    • [cs.CY]Aligning AI With Shared Human Values
    Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt
    http://arxiv.org/abs/2008.02275v1

    • [cs.CY]Forecasting AI Progress: A Research Agenda
    Ross Gruetzemacher, Florian Dorner, Niko Bernaola-Alvarez, Charlie Giattino, David Manheim
    http://arxiv.org/abs/2008.01848v1

    • [cs.CY]Machine Learning Fairness in Justice Systems: Base Rates, False Positives, and False Negatives
    Jesse Russell
    http://arxiv.org/abs/2008.02214v1

    • [cs.DC]A Case For Adaptive Deep Neural Networks in Edge Computing
    Francis McNamee, Schahram Dustadar, Peter Kilpatrick, Weisong Shi, Ivor Spence, Blesson Varghese
    http://arxiv.org/abs/2008.01814v1

    • [cs.DC]A Novel Approach for the Process Planning and Scheduling Problem Using the Concept of Maximum Weighted Independent Set
    Kai Sun, John F. Dannenhoffer, Utpal Roy
    http://arxiv.org/abs/2008.01960v1

    • [cs.DC]Best of Both Worlds: High Performance Interactive and Batch Launching
    Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Andrew Kirby, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther
    http://arxiv.org/abs/2008.02223v1

    • [cs.DC]Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning
    Jin Wang, Jia Hu, Geyong Min, Albert Y. Zomaya, Nektarios Georgalas
    http://arxiv.org/abs/2008.02033v1

    • [cs.DC]High performance on-demand de-identification of a petabyte-scale medical imaging data lake
    Joseph Mesterhazy, Garrick Olson, Somalee Datta
    http://arxiv.org/abs/2008.01827v1

    • [cs.DC]Microservice Interface Based Deployment Orchestration
    Lorenzo Bacchiani, Mario Bravetti, Saverio Giallorenzo, Jacopo Mauro, Iacopo Talevi, Gianluigi Zavattaro
    http://arxiv.org/abs/2008.01638v2

    • [cs.DC]On Decidability of 2-process Affine Models
    Petr Kuznetsov, Thibault Rieutord
    http://arxiv.org/abs/2008.02099v1

    • [cs.DC]SISSLE in consensus-based Ripple: Some Improvements in Speed, Security, Last Mile Connectivity and Ease of Use
    Mayank Mundhra, Chester Rebeiro
    http://arxiv.org/abs/2008.01742v1

    • [cs.DC]Solving Dynamic Programming Problem by Pipeline Implementation on GPU
    Susumu Matsumae, Makoto Miyazaki
    http://arxiv.org/abs/2008.01938v1

    • [cs.ET]Spiking neuromorphic chip learns entangled quantum states
    Stefanie Czischek, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Lukas Kades, Jan M. Pawlowski, Markus K. Oberthaler, Johannes Schemmel, Mihai A. Petrovici, Thomas Gasenzer, Martin Gärttner
    http://arxiv.org/abs/2008.01039v2

    • [cs.FL]Glushkov’s construction for functional subsequential transducers
    Aleksander Mendoza-Drosik
    http://arxiv.org/abs/2008.02239v1

    • [cs.HC]An Augmented Reality Interaction Interface for Autonomous Drone
    Chuhao Liu, Shaojie Shen
    http://arxiv.org/abs/2008.02234v1

    • [cs.HC]More Than Accuracy: Towards Trustworthy Machine Learning Interfaces for Object Recognition
    Hendrik Heuer, Andreas Breiter
    http://arxiv.org/abs/2008.01980v1

    • [cs.HC]TA-Dash: An Interactive Dashboard for Spatial-Temporal Traffic Analytics — Demo Paper
    Nicolas Tempelmeier, Anzumana Sander, Udo Feuerhake, Martin Löhdefink, Elena Demidova
    http://arxiv.org/abs/2008.00002v1

    • [cs.IR]BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation
    Sirui Wang, Yuwei Tu, Qiong Wu, Adam Hare, Zhenming Liu, Christopher G. Brinton, Yanhua Li
    http://arxiv.org/abs/2008.02218v1

    • [cs.IR]One word at a time: adversarial attacks on retrieval models
    Nisarg Raval, Manisha Verma
    http://arxiv.org/abs/2008.02197v1

    • [cs.IR]Retrieve Synonymous keywords for Frequent Queries in Sponsored Search in a Data Augmentation Way
    Yijiang Lian, Zhenjun You, Fan Wu, Wenqiang Liu, Jing Jia
    http://arxiv.org/abs/2008.01969v1

    • [cs.IR]The Role of Word-Eye-Fixations for Query Term Prediction
    Masoud Davari, Daniel Hienert, Dagmar Kern, Stefan Dietze
    http://arxiv.org/abs/2008.02017v1

    • [cs.IT]A Groebner-bases approach to syndrome-based fast Chase decoding of Reed—Solomon codes
    Yaron Shany, Amit Berman
    http://arxiv.org/abs/2008.01796v1

    • [cs.IT]Non-Commutative Ring Learning With Errors From Cyclic Algebras
    Charles Grover, Cong Ling, Roope Vehkalahti
    http://arxiv.org/abs/2008.01834v1

    • [cs.IT]Novel High-Throughput Decoding Algorithms for Product and Staircase Codes based on Error-and-Erasure Decoding
    Alireza Sheikh, Alexandre Graell i Amat, Alex Alvarado
    http://arxiv.org/abs/2008.02181v1

    • [cs.IT]Simple Modulo can Significantly Outperform Deep Learning-based Deepcode
    Assaf Ben-Yishai, Ofer Shayevitz
    http://arxiv.org/abs/2008.01686v2

    • [cs.IT]Spectrally Sparse Signal Recovery via Hankel Matrix Completion with Prior Information
    Xu Zhang, Yulong Liu, Wei Cui
    http://arxiv.org/abs/2008.01905v1

    • [cs.IT]Statistical Analysis of Downlink Zero-Forcing Beamforming
    Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau
    http://arxiv.org/abs/2008.01875v1

    • [cs.IT]Traffic Prediction Based Fast Uplink Grant for Massive IoT
    Mohammad Shehab, Alexander K. Hagelskjær, Anders E. Kalør, Petar Popovski, Hirley Alves
    http://arxiv.org/abs/2008.02207v1

    • [cs.LG]A Causal-based Framework for Multimodal Multivariate Time Series Validation Enhanced by Unsupervised Deep Learning as an Enabler for Industry 4.0
    Cedric Schockaert
    http://arxiv.org/abs/2008.02171v1

    • [cs.LG]A Relearning Approach to Reinforcement Learning for Control of Smart Buildings
    Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas
    http://arxiv.org/abs/2008.01879v1

    • [cs.LG]An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
    Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanisław Jastrzębski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
    http://arxiv.org/abs/2008.01774v1

    • [cs.LG]Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry
    Yossi Arjevani, Michael Field
    http://arxiv.org/abs/2008.01805v1

    • [cs.LG]Annealing Genetic GAN for Minority Oversampling
    Jingyu Hao, Chengjia Wang, Heye Zhang, Guang Yang
    http://arxiv.org/abs/2008.01967v1

    • [cs.LG]Can Adversarial Weight Perturbations Inject Neural Backdoors?
    Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang
    http://arxiv.org/abs/2008.01761v1

    • [cs.LG]Counterfactual Explanation Based on Gradual Construction for Deep Networks
    Sin-Han Kang, Hong-Gyu Jung, Dong-Ok Won, Seong-Whan Lee
    http://arxiv.org/abs/2008.01897v1

    • [cs.LG]Cross-Global Attention Graph Kernel Network Prediction of Drug Prescription
    Hao-Ren Yao, Der-Chen Chang, Ophir Frieder, Wendy Huang, I-Chia Liang, Chi-Feng Hung
    http://arxiv.org/abs/2008.01868v1

    • [cs.LG]Data Cleansing with Contrastive Learning for Vocal Note Event Annotations
    Gabriel Meseguer-Brocal, Rachel Bittner, Simon Durand, Brian Brost
    http://arxiv.org/abs/2008.02069v1

    • [cs.LG]Differentially Private Accelerated Optimization Algorithms
    Nurdan Kuru, Ş. İlker Birbil, Mert Gurbuzbalaban, Sinan Yildirim
    http://arxiv.org/abs/2008.01989v1

    • [cs.LG]Explainable Predictive Process Monitoring
    Riccardo Galanti, Bernat Coma-Puig, Massimiliano de Leoni, Josep Carmona, Nicolò Navarin
    http://arxiv.org/abs/2008.01807v1

    • [cs.LG]FRMDN: Flow-based Recurrent Mixture Density Network
    Seyedeh Fatemeh Razavi, Reshad Hosseini
    http://arxiv.org/abs/2008.02144v1

    • [cs.LG]Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals
    Ozsel Kilinc, Giovanni Montana
    http://arxiv.org/abs/2008.02066v1

    • [cs.LG]Fuzzy Jaccard Index: A robust comparison of ordered lists
    Matej Petković, Blaž Škrlj, Dragi Kocev, Nikola Simidjievski
    http://arxiv.org/abs/2008.02216v1

    • [cs.LG]Generative Ensemble-Regression: Learning Stochastic Dynamics from Discrete Particle Ensemble Observations
    Liu Yang, Constantinos Daskalakis, George Em Karniadakis
    http://arxiv.org/abs/2008.01915v1

    • [cs.LG]Graph Neural Networks: Architectures, Stability and Transferability
    Luana Ruiz, Fernando Gama, Alejandro Ribeiro
    http://arxiv.org/abs/2008.01767v1

    • [cs.LG]Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain
    Jonghwa Yim, Sang Hwan Kim
    http://arxiv.org/abs/2008.02043v1

    • [cs.LG]Machine Learning in Nano-Scale Biomedical Engineering
    Alexandros-Apostolos A. Boulogeorgos, Stylianos E. Trevlakis, Sotiris A. Tegos, Vasilis K. Papanikolaou, George K. Karagiannidis
    http://arxiv.org/abs/2008.02195v1

    • [cs.LG]Meta Continual Learning via Dynamic Programming
    R. Krishnan, Prasanna Balaprakash
    http://arxiv.org/abs/2008.02219v1

    • [cs.LG]Optimizing AD Pruning of Sponsored Search with Reinforcement Learning
    Yijiang Lian, Zhijie Chen, Xin Pei, Shuang Li, Yifei Wang, Yuefeng Qiu, Zhiheng Zhang, Zhipeng Tao, Liang Yuan, Hanju Guan, Kefeng Zhang, Zhigang Li, Xiaochun Liu
    http://arxiv.org/abs/2008.02014v1

    • [cs.LG]Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting
    Yu Huang, Yufei Tang, Hanqi Zhuang, James VanZwieten, Laurent Cherubin
    http://arxiv.org/abs/2008.01798v1

    • [cs.LG]Projecting to Manifolds via Unsupervised Learning
    Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley Osher, Wotao Yin
    http://arxiv.org/abs/2008.02200v1

    • [cs.LG]Robust Deep Reinforcement Learning through Adversarial Loss
    Tuomas Oikarinen, Tsui-Wei Weng, Luca Daniel
    http://arxiv.org/abs/2008.01976v1

    • [cs.LG]Robust Reinforcement Learning using Adversarial Populations
    Eugene Vinitsky, Yuqing Du, Kanaad Parvate, Kathy Jang, Pieter Abbeel, Alexandre Bayen
    http://arxiv.org/abs/2008.01825v1

    • [cs.LG]Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics
    Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Ankit Patel
    http://arxiv.org/abs/2008.01772v1

    • [cs.LG]TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning
    Jingxing Jiang, Zhubin Wang, Fei Fang, Binqiang Zhao
    http://arxiv.org/abs/2008.02122v1

    • [cs.LO]Modular Answer Set Programming as a Formal Specification Language
    Pedro Cabalar, Jorge Fandinno, Yuliya Lierler
    http://arxiv.org/abs/2008.02015v1

    • [cs.LO]Verifying Tight Logic Programs with anthem and vampire
    Jorge Fandinno, Vladimir Lifschitz, Patrick Luhne, Torsten Schaub
    http://arxiv.org/abs/2008.02025v1

    • [cs.LO]eclingo: A solver for Epistemic Logic Programs
    Pedro Cabalar, Jorge Fandinno, Javier Garea, Javier Romero, Torsten Schaub
    http://arxiv.org/abs/2008.02018v1

    • [cs.MS]A parallel structured divide-and-conquer algorithm for symmetric tridiagonal eigenvalue problems
    Xia Liao, Shengguo Li, Yutong Lu, Jose E. Roman
    http://arxiv.org/abs/2008.01990v1

    • [cs.NE]SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic Spiking Neural Networks
    Anakha V Babu, Osvaldo Simeone, Bipin Rajendran
    http://arxiv.org/abs/2008.02189v1

    • [cs.NI]6VecLM: Language Modeling in Vector Space for IPv6 Target Generation
    Tianyu Cui, Gang Xiong, Gaopeng Gou, Junzheng Shi, Wei Xia
    http://arxiv.org/abs/2008.02213v1

    • [cs.RO]A Probabilistic Model for Planar Sliding of Objects with Unknown Material Properties: Identification and Robust Planning
    Changkyu Song, Abdeslam Boularias
    http://arxiv.org/abs/2008.01921v1

    • [cs.RO]A variable rest length impedance grasping strategy in the port-Hamiltonian framework
    Mauricio Munoz-Arias, Jacquelien Scherpen, Alessandro Macchelli
    http://arxiv.org/abs/2008.02020v1

    • [cs.RO]Analysis and Transfer of Human Movement Manipulability in Industry-like Activities
    Noémie Jaquier, Leonel Rozo, Sylvain Calinon
    http://arxiv.org/abs/2008.01402v2

    • [cs.RO]BRM Localization: UAV Localization in GNSS-Denied Environments Based on Matching of Numerical Map and UAV Images
    Junho Choi, Hyun Myung
    http://arxiv.org/abs/2008.01347v2

    • [cs.RO]Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM
    Chanoh Park, Peyman Moghadam, Jason Williams, Soohwan Kim, Sridha Sridharan, Clinton Fookes
    http://arxiv.org/abs/2008.02274v1

    • [cs.RO]Generalization Guarantees for Multi-Modal Imitation Learning
    Allen Z. Ren, Sushant Veer, Anirudha Majumdar
    http://arxiv.org/abs/2008.01913v1

    • [cs.RO]Learning from Sparse Demonstrations
    Wanxin Jin, Todd D. Murphey, Dana Kulić, Neta Ezer, Shaoshuai Mou
    http://arxiv.org/abs/2008.02159v1

    • [cs.RO]Optimal Routing Strategies for Autonomous Underwater Vehicles in Time-Varying Environment
    Mike Eichhorn
    http://arxiv.org/abs/2008.02115v1

    • [cs.RO]Quality and Diversity in Evolutionary Modular Robotics
    Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen, Kyrre Glette
    http://arxiv.org/abs/2008.02116v1

    • [cs.RO]Real-time and Autonomous Detection of Helipad for Landing Quad-Rotors by Visual Servoing
    Archit Rungta, Yash Soni, Parakh Agarwal, Biswajit Ghosh, Somesh Kumar
    http://arxiv.org/abs/2008.02236v1

    • [cs.RO]Stabilization of Complementarity Systems via Contact-Aware Controllers
    Alp Aydinoglu, Victor M. Preciado, Michael Posa
    http://arxiv.org/abs/2008.02104v1

    • [cs.RO]Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments
    Yanyan Li, Nikolas Brasch, Yida Wang, Nassir Navab, Federico Tombari
    http://arxiv.org/abs/2008.01963v1

    • [cs.RO]What to Do When You Can’t Do It All: Temporal Logic Planning with Soft Temporal Logic Constraints
    Hazhar Rahmani, Jason M. O’Kane
    http://arxiv.org/abs/2008.01926v1

    • [cs.SD]MusPy: A Toolkit for Symbolic Music Generation
    Hao-Wen Dong, Ke Chen, Julian McAuley, Taylor Berg-Kirkpatrick
    http://arxiv.org/abs/2008.01951v1

    • [cs.SD]Neural Loop Combiner: Neural Network Models for Assessing the Compatibility of Loops
    Bo-Yu Chen, Jordan B. L. Smith, Yi-Hsuan Yang
    http://arxiv.org/abs/2008.02011v1

    • [cs.SD]On the Characterization of Expressive Performance in Classical Music: First Results of the Con Espressione Game
    Carlos Cancino-Chacón, Silvan Peter, Shreyan Chowdhury, Anna Aljanaki, Gerhard Widmer
    http://arxiv.org/abs/2008.02194v1

    • [cs.SE]Supporting Robotic Software Migration Using Static Analysis and Model-Driven Engineering
    Sophie Wood, Nicholas Matragkas, Dimitris Kolovos, Richard Paige, Simos Gerasimou
    http://arxiv.org/abs/2008.02164v1

    • [cs.SI]GloDyNE: Global Topology Preserving Dynamic Network Embedding
    Chengbin Hou, Han Zhang, Shan He, Ke Tang
    http://arxiv.org/abs/2008.01935v1

    • [cs.SI]Identifying the $k$ Best Targets for an Advertisement Campaign via Online Social Networks
    Mariella Bonomo, Armando La Placa, Simona E. Rombo
    http://arxiv.org/abs/2008.02108v1

    • [econ.EM]Design-Based Uncertainty for Quasi-Experiments
    Ashesh Rambachan, Jonathan Roth
    http://arxiv.org/abs/2008.00602v2

    • [eess.AS]Content based singing voice source separation via strong conditioning using aligned phonemes
    Gabriel Meseguer-Brocal, Geoffroy Peeters
    http://arxiv.org/abs/2008.02070v1

    • [eess.AS]Learning to Denoise Historical Music
    Yunpeng Li, Beat Gfeller, Marco Tagliasacchi, Dominik Roblek
    http://arxiv.org/abs/2008.02027v1

    • [eess.IV]A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint
    Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang
    http://arxiv.org/abs/2008.01896v1

    • [eess.IV]COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring
    Rula Amer, Maayan Frid-Adar, Ophir Gozes, Jannette Nassar, Hayit Greenspan
    http://arxiv.org/abs/2008.02150v1

    • [eess.IV]Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation
    Sebastian Guendel, Arnaud Arindra Adiyoso Setio, Sasa Grbic, Andreas Maier, Dorin Comaniciu
    http://arxiv.org/abs/2008.02030v1

    • [eess.IV]**Fast Nonconvex $T2^$ Mapping Using ADMM
    _Shuai Huang, James J. Lah, Jason W. Allen, Deqiang Qiu
    http://arxiv.org/abs/2008.01806v1

    • [eess.IV]Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN
    Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich
    http://arxiv.org/abs/2008.01910v1

    • [eess.IV]Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs
    Nils Gessert, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Hagen H. Kitzler, Sven Schippling, Alexander Schlaefer
    http://arxiv.org/abs/2008.02001v1

    • [eess.IV]Stabilizing Deep Tomographic Reconstruction Networks
    Weiwen Wu, Dianlin Hu, Shaoyu Wang, Hengyong Yu, Varut Vardhanabhuti, Ge Wang
    http://arxiv.org/abs/2008.01846v1

    • [eess.IV]Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance
    Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao
    http://arxiv.org/abs/2008.02101v1

    • [eess.SP]A Novel Method For Designing Transferable Soft Sensors And Its Application
    Hossein Shahabadi Farahani, Alireza Fatehi, Mahdi Aliyari Shoorehdeli, Alireza Nadali
    http://arxiv.org/abs/2008.02186v1

    • [eess.SP]Area-wide traffic signal control based on a deep graph Q-Network (DGQN) trained in an asynchronous manner
    Gyeongjun Kim, Keemin Sohn
    http://arxiv.org/abs/2008.01950v1

    • [eess.SP]Integrated Traffic Simulation-Prediction System using Neural Networks with Application to the Los Angeles International Airport Road Network
    Yihang Zhang, Aristotelis-Angelos Papadopoulos, Pengfei Chen, Faisal Alasiri, Tianchen Yuan, Jin Zhou, Petros A. Ioannou
    http://arxiv.org/abs/2008.01902v1

    • [eess.SP]Jointly Sparse Signal Recovery and Support Recovery via Deep Learning with Applications in MIMO-based Grant-Free Random Access
    Ying Cui, Shuaichao Li, Wanqing Zhang
    http://arxiv.org/abs/2008.01992v1

    • [eess.SP]Secrecy Limits of Energy Harvesting IoT Networks under Channel Imperfections
    Furqan Jameel, Zheng Chang, Riku Jantti
    http://arxiv.org/abs/2008.01835v1

    • [math.OC]Initialization and Curing Policies for Polya Contagion Networks
    Greg Harrington, Fady Alajaji, Bahman Gharesifard
    http://arxiv.org/abs/2008.01782v1

    • [math.ST]A long memory time series with a periodic degree of fractional differencing
    Amine Amimour, Karima Belaide
    http://arxiv.org/abs/2008.01939v1

    • [math.ST]Computational Barriers to Estimation from Low-Degree Polynomials
    Tselil Schramm, Alexander S. Wein
    http://arxiv.org/abs/2008.02269v1

    • [math.ST]On the sum of ordered spacings
    Lolian Shtembari, Allen Caldwell
    http://arxiv.org/abs/2008.02048v1

    • [physics.geo-ph]Unsupervised seismic facies classification using deep convolutional autoencoder
    Vladimir Puzyrev, Chris Elders
    http://arxiv.org/abs/2008.01995v1

    • [physics.soc-ph]Mining Google and Apple mobility data: Twenty-one shades of European social distancing measures for COVID-19
    Giacomo Cacciapaglia, Corentin Cot, Francesco Sannino
    http://arxiv.org/abs/2008.02117v1

    • [physics.soc-ph]Self-interested behaviour as a social norm
    Kamilla Haworth Buchter, Bjarke Mønsted, Sune Lehmann
    http://arxiv.org/abs/2008.01884v1

    • [q-bio.QM]Optimal Pooling Matrix Design for Group Testing with Dilution (Row Degree) Constraints
    Jirong Yi, Myung Cho, Xiaodong Wu, Raghu Mudumbai, Weiyu Xu
    http://arxiv.org/abs/2008.01944v1

    • [stat.AP]Community Vibrancy and its Relationship with Safety in Philadelphia
    Wichinpong Park Sinchaisri, Shane T. Jensen
    http://arxiv.org/abs/2008.01778v1

    • [stat.AP]Tree Inference: Response Time in a Binary Multinomial Processing Tree, Representation and Uniqueness of Parameters
    Richard Schweickert, Xiaofang Zheng
    http://arxiv.org/abs/2008.01830v1

    • [stat.ME]A flexible and efficient algorithm for joint imputation of general data
    Michael W. Robbins
    http://arxiv.org/abs/2008.02243v1

    • [stat.ME]A note on tools for prediction under uncertainty and identifiability of SIR-like dynamical systems for epidemiology
    Chiara Piazzola, Lorenzo Tamellini, Raúl Tempone
    http://arxiv.org/abs/2008.01400v2

    • [stat.ME]Bayesian Survival Analysis Using Gamma Processes with Adaptive Time Partition
    Yi Li, Sumi Seo, Kyu Ha Lee
    http://arxiv.org/abs/2008.02204v1

    • [stat.ME]Biconvex Clustering
    Saptarshi Chakraborty, Jason Xu
    http://arxiv.org/abs/2008.01760v1

    • [stat.ME]Plotting the cumulative deviation of a subgroup from the full population as a function of score
    Mark Tygert
    http://arxiv.org/abs/2008.01779v1

    • [stat.ME]Scalable Multiple Changepoint Detection for Functional Data Sequences
    Trevor Harris, Bo Li, James Derek Tucker
    http://arxiv.org/abs/2008.01889v1

    • [stat.ML]Graph Neural Networks with Low-rank Learnable Local Filters
    Xiuyuan Cheng, Zichen Miao, Qiang Qiu
    http://arxiv.org/abs/2008.01818v1

    • [stat.ML]Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds
    Valentin Liévin, Andrea Dittadi, Anders Christensen, Ole Winther
    http://arxiv.org/abs/2008.01998v1

    • [stat.ML]Out-of-Distribution Generalization with Maximal Invariant Predictor
    Masanori Koyama, Shoichiro Yamaguchi
    http://arxiv.org/abs/2008.01883v1

    • [stat.ML]Outlier detection in non-elliptical data by kernel MRCD
    Joachim Schreurs, Iwein Vranckx, Bart De Ketelaere, Mia Hubert, Johan A. K. Suykens, Peter J. Rousseeuw
    http://arxiv.org/abs/2008.02046v1

    • [stat.ML]Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model
    Bo Shen, Zhenyu, Kong
    http://arxiv.org/abs/2008.02211v1

    • [stat.ML]Sketching Datasets for Large-Scale Learning (long version)
    Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, Philip Schniter
    http://arxiv.org/abs/2008.01839v1