2019.08.04 Learning papers

07-31-2019	On Mutual Information Maximization for Representation Learning by Michael Tschannen et al
07-30-2019	GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations by Martin Engelcke et al
07-30-2019	Machine learning in APOGEE: Identification of stellar populations through chemical abundances by Rafael Garcia-Dias et al
07-31-2019	KiloGrams: Very Large N-Grams for Malware Classification by Edward Raff et al
08-01-2019	Chainer: A Deep Learning Framework for Accelerating the Research Cycle by Seiya Tokui et al
08-01-2019	Reinforcement Learning for Personalized Dialogue Management by Floris den Hengst et al
07-31-2019	An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation by Vincent Michalski et al
08-01-2019	Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss by M. Saquib Sarfraz et al
07-31-2019	Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview by Jiawei Zhang
07-30-2019	Prudence When Assuming Normality: an advice for machine learning practitioners by Waleed A. Yousef
07-30-2019	Wasserstein Robust Reinforcement Learning by Mohammed Amin Abdullah et al
07-31-2019	Machine Learning at the Network Edge: A Survey by M. G. Sarwar Murshed et al
08-01-2019	Simple and Effective Text Matching with Richer Alignment Features by Runqi Yang et al
07-30-2019	Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures by Dylan Cashman et al
07-30-2019	Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation by Utku Ozbulak et al
08-01-2019	Extract and Merge: Merging extracted humans from different images utilizing Mask R-CNN by Asati Minkesh et al
07-31-2019	FairSight: Visual Analytics for Fairness in Decision Making by Yongsu Ahn et al
07-31-2019	Competing Ratio Loss for Discriminative Multi-class Image Classification by Ke Zhang et al
08-01-2019	Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories by Henggang Cui et al
07-30-2019	Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training by Saptadeep Pal et al
08-01-2019	Learning Joint Acoustic-Phonetic Word Embeddings by Mohamed El-Geish
08-01-2019	Pyramid Real Image Denoising Network by Yiyun Zhao et al
07-30-2019	Multi-Agent Adversarial Inverse Reinforcement Learning by Lantao Yu et al
07-31-2019	Accelerating CNN Training by Sparsifying Activation Gradients by Xucheng Ye et al
08-01-2019	Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data by Jacob Harer et al
08-01-2019	Dolphin: A Verbal Fluency Evaluation System for Elementary Education by Zitao Liu et al
07-30-2019	Classification of Cognitive Load and Expertise for Adaptive Simulation using Deep Multitask Learning by Pritam Sarkar et al
08-01-2019	Featuring the topology with the unsupervised machine learning by Kenji Fukushima et al
08-02-2019	Combining learned skills and reinforcement learning for robotic manipulations by Robin Strudel et al
08-01-2019	MSnet: A BERT-based Network for Gendered Pronoun Resolution by Zili Wang
08-02-2019	AutoML: A Survey of the State-of-the-Art by Xin He et al
08-02-2019	Deep ReLU network approximation of functions on a manifold by Johannes Schmidt-Hieber
08-02-2019	High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction by Stefan Lattner et al
08-02-2019	Learning Variations in Human Motion via Mix-and-Match Perturbation by Mohammad Sadegh Aliakbarian et al
07-30-2019	Temporal coding in spiking neural networks with alpha synaptic function by Iulia M. Comsa et al
08-01-2019	Updating Variational Bayes: Fast sequential posterior inference by Nathaniel Tomasetti et al
07-31-2019	Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement by Ryutaro Tanno et al
08-01-2019	Cultural association based on machine learning for team formation by Hrishikesh Kulkarni et al
08-02-2019	A Visual Technique to Analyze Flow of Information in a Machine Learning System by Abon Chaudhuri
07-31-2019	Few-Shot Meta-Denoising by Leslie Casas et al
07-31-2019	Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control by Tommy Tram et al
07-30-2019	Approximation Capabilities of Neural Ordinary Differential Equations by Han Zhang et al
08-01-2019	Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes by Alekh Agarwal et al
07-30-2019	Temporal Attentive Alignment for Large-Scale Video Domain Adaptation by Min-Hung Chen et al
07-31-2019	Adversarial Robustness Curves by Christina Göpfert et al
08-01-2019	Contrastive Reasons Detection and Clustering from Online Polarized Debate by Amine Trabelsi et al
07-30-2019	2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy by Lars Schmarje et al
07-30-2019	Influence Maximization with Few Simulations by Gal Sadeh et al
07-31-2019	Topological Machine Learning with Persistence Indicator Functions by Bastian Rieck et al
08-02-2019	Distilling Knowledge From a Deep Pose Regressor Network by Muhamad Risqi U. Saputra et al
08-02-2019	Efficient computation of counterfactual explanations of LVQ models by André Artelt et al
08-02-2019	Deep learning languages: a key fundamental shift from probabilities to weights? by François Coste
08-01-2019	Estimating the Standard Error of Cross-Validation-Based Estimators of Classification Rules Performance by Waleed A. Yousef
07-30-2019	Soccer Team Vectors by Robert Müller et al
07-30-2019	Grid Saliency for Context Explanations of Semantic Segmentation by Lukas Hoyer et al
08-02-2019	AdvGAN++ : Harnessing latent layers for adversary generation by Puneet Mangla et al
08-02-2019	Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks by Marco Schreyer et al
07-30-2019	Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods by Francis Brochu
07-30-2019	Deep Learning Training on the Edge with Low-Precision Posits by Hamed F. Langroudi et al
07-30-2019	Climate-driven statistical models as effective predictors of local dengue incidence in Costa Rica: A Generalized Additive Model and Random Forest approach by Paola Vásquez et al
07-31-2019	Inverse Reinforcement Learning with Multiple Ranked Experts by Pablo Samuel Castro et al
07-31-2019	Simple Unsupervised Summarization by Contextual Matching by Jiawei Zhou et al
07-31-2019	Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT by Alireza Nooraiepour et al
07-31-2019	How Good is SGD with Random Shuffling? by Itay Safran et al
07-30-2019	Learning over inherently distributed data by Donghui Yan et al
07-30-2019	PointHop: An Explainable Machine Learning Method for Point Cloud Classification by Min Zhang et al
07-30-2019	Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation by Yang Gao et al
07-31-2019	Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space by Tiago Botari et al
08-01-2019	Cross-domain Network Representations by Shan Xue et al
07-31-2019	Incremental Learning Techniques for Semantic Segmentation by Umberto Michieli et al
07-30-2019	Kernels on fuzzy sets: an overview by Jorge Guevara et al
08-02-2019	Greedy AutoAugment by Alireza Naghizadeh et al
07-30-2019	Propose-and-Attend Single Shot Detector by Ho-Deok Jang et al
07-30-2019	Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding by Utku Ozbulak et al
07-30-2019	pySOT and POAP: An event-driven asynchronous framework for surrogate optimization by David Eriksson et al
08-01-2019	Continual Learning via Online Leverage Score Sampling by Dan Teng et al
07-31-2019	MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation by Hoyeop Lee et al
07-31-2019	Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization by Abhishek Roy et al
07-31-2019	Graph Space Embedding by João Pereira et al
07-31-2019	Deep Gaussian networks for function approximation on data defined manifolds by Hrushikesh Mhaskar
08-01-2019	Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network by Tao Hu et al
08-01-2019	Robust Deep Sensing Through Transfer Learning in Cognitive Radio by Qihang Peng et al
08-02-2019	L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention by Xinhai Liu et al
08-02-2019	Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance by Qianqian Tong et al
07-30-2019	SenseFitting: Sense Level Semantic Specialization of Word Embeddings for Word Sense Disambiguation by Manuel Stoeckel et al
07-31-2019	Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning by Xiang Zhang et al
08-01-2019	LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting by Yunyou Huang et al
07-31-2019	Optimal Attacks on Reinforcement Learning Policies by Alessio Russo et al
07-31-2019	Robust stochastic optimization with the proximal point method by Damek Davis et al
07-30-2019	Pay attention to the activations: a modular attention mechanism for fine-grained image recognition by Pau Rodríguez López et al
07-30-2019	A Temporal Clustering Algorithm for Achieving the trade-off between the User Experience and the Equipment Economy in the Context of IoT by Caio Ponte et al
07-31-2019	Conditional independence testing: a predictive perspective by Marco Henrique de Almeida Inácio et al
08-02-2019	On the Merge of k-NN Graph by Peng-Cheng Lin et al
07-31-2019	Personalizing ASR for Dysarthric and Accented Speech with Limited Data by Joel Shor et al
08-02-2019	Network with Sub-Networks by Ninnart Fuengfusin et al
07-30-2019	Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning by Huy Phan et al
07-31-2019	Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach by Mansura A. Khan et al
07-30-2019	PrecoderNet: Hybrid Beamforming for Millimeter Wave Systems Using Deep Reinforcement Learning by Qisheng Wang et al
07-30-2019	SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition by Carlos Caetano et al
08-01-2019	Hybrid Low-order and Higher-order Graph Convolutional Networks by FangYuan Lei et al
07-31-2019	Attention-Wrapped Hierarchical BLSTMs for DDI Extraction by Vahab Mostafapour et al
08-01-2019	Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation by Janis Postels et al
08-01-2019	Large-Scale Sparse Subspace Clustering Using Landmarks by Farhad Pourkamali-Anaraki
08-02-2019	Differential Privacy for Sparse Classification Learning by Puyu Wang et al
07-31-2019	Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals by Xiang Zhang et al
07-31-2019	A Novel Multiple Classifier Generation and Combination Framework Based on Fuzzy Clustering and Individualized Ensemble Construction by Zhen Gao et al
07-31-2019	A comparative study of general fuzzy min-max neural networks for pattern classification problems by Thanh Tung Khuat et al
08-01-2019	No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization by Thiago de P. Vasconcelos et al
07-31-2019	A Leisurely Look at Versions and Variants of the Cross Validation Estimator by Waleed A. Yousef
08-01-2019	FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System by Bowen Yu et al
08-01-2019	Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks by Bret Nestor et al
07-31-2019	Embedding Human Heuristics in Machine-Learning-Enabled Probe Microscopy by O. Gordon et al
08-02-2019	Deterministic Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs by Shantanu Prasad Burnwal et al
07-31-2019	Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy: Preliminary Results by Alex E. Bocchieri et al
07-30-2019	Multi-Kernel Capsule Network for Schizophrenia Identification by Tian Wang et al
07-31-2019	Persistent Intersection Homology for the Analysis of Discrete Data by Bastian Rieck et al
07-30-2019	Are Outlier Detection Methods Resilient to Sampling? by Laure Berti-Equille et al
08-01-2019	Conditional Finite Mixtures of Poisson Distributions for Context-Dependent Neural Correlations by Sacha Sokoloski et al
08-01-2019	Optimize TSK Fuzzy Systems for Big Data Classification Problems: Bag of Tricks by Yuqi Cui et al
08-02-2019	Machine Learning as Ecology by Owen Howell et al
08-02-2019	Retrosynthesis with Attention-Based NMT Model and Chemical Analysis of the Wrong Predictions by Hongliang Duan et al
08-02-2019	MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography by Henrik Skibbe et al
07-30-2019	Transferability of Spectral Graph Convolutional Neural Networks by Ron Levie et al
08-02-2019	Identification of gatekeeper diseases on the way to cardiovascular mortality by Nils Haug et al
08-02-2019	Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison by Masoud Mansoury et al
07-31-2019	Sudden Death: A New Way to Compare Recommendation Diversification by Derek Bridge et al
08-02-2019	Inferring linear and nonlinear Interaction networks using neighborhood support vector machines by Kamel Jebreen et al
08-01-2019	A self-organizing fuzzy neural network for sequence learning by Armin Salimi-Badr et al
07-30-2019	An alarm prediction framework for financial IT system using hybrid machine learning methods by Jingwen Wang et al
07-30-2019	Incremental Bounded Model Checking of Artificial Neural Networks in CUDA by Luiz H. Sena et al
07-31-2019	Privately Answering Classification Queries in the Agnostic PAC Model by Raef Bassily et al
07-30-2019	AUC: Nonparametric Estimators and Their Smoothness by Waleed A. Yousef
07-30-2019	DeepPlace: Learning to Place Applications in Multi-Tenant Clusters by Subrata Mitra et al
07-31-2019	Disentangled Relational Representations for Explaining and Learning from Demonstration by Yordan Hristov et al
07-30-2019	Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation by Mark Thomas et al
07-31-2019	Neural Network based Explicit Mixture Models and Expectation-maximization based Learning by Dong Liu et al
07-31-2019	MSNM-S: An Applied Network Monitoring Tool for Anomaly Detection in Complex Networks and Systems by Roberto Magán-Carrión et al
08-02-2019	Deep Video Precoding by Eirina Bourtsoulatze et al
07-31-2019	A novel framework of the fuzzy c-means distances problem based weighted distance by Andy Arief Setyawan et al
08-02-2019	An Underparametrized Deep Decoder Architecture for Graph Signals by Samuel Rey et al
07-30-2019	Screening Mammogram Classification with Prior Exams by Jungkyu Park et al
08-02-2019	A Hierarchical Bayesian Model for Size Recommendation in Fashion by Romain Guigourès et al
08-01-2019	Gradient Flow Algorithms for Density Propagation in Stochastic Systems by Kenneth F. Caluya et al
08-01-2019	Black-box Adversarial ML Attack on Modulation Classification by Muhammad Usama et al
07-31-2019	Generative Adversarial Networks (GAN) for compact beam source modelling in Monte Carlo simulations by David Sarrut et al
08-02-2019	Universal Transforming Geometric Network by Jin Li
08-01-2019	ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images by Yeman Brhane Hagos et al
08-02-2019	Sound source detection, localization and classification using consecutive ensemble of CRNN models by Sławomir Kapka et al
08-02-2019	Mixed-Integer Optimization Approach to Learning Association Rules for Unplanned ICU Transfer by Chun-An Chou et al
07-31-2019	Semi-supervised Compatibility Learning Across Categories for Clothing Matching by Zekun Li et al
07-30-2019	Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors by Daniel Lopez-Martinez et al
07-30-2019	A Federated Learning Approach for Mobile Packet Classification by Evita Bakopoulou et al
07-30-2019	Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors by Telma Pereira et al
08-02-2019	Population Predictive Checks by Rajesh Ranganath et al
07-30-2019	Predicting credit default probabilities using machine learning techniques in the face of unequal class distributions by Anna Stelzer