2019.12.22 Learning papers

12-18-2019	SIGMA : Strengthening IDS with GAN and Metaheuristics Attacks by Simon Msika et al
12-17-2019	Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks by Donsuk Lee et al
12-20-2019	Distributed Fixed Point Methods with Compressed Iterates by Sélim Chraibi et al
12-17-2019	Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation by Tianhong Dai et al
12-17-2019	Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From? by R. Stuart Geiger et al
12-19-2019	Normalizing flows for deep anomaly detection by Artem Ryzhikov et al
12-20-2019	When Explanations Lie: Why Modified BP Attribution Fails by Leon Sixt et al
12-20-2019	SCR-Apriori for Mining `Sets of Contrasting Rules by Marharyta Aleksandrova et al
12-20-2019	Community detection in node-attributed social networks: a survey by Petr Chunaev
12-19-2019	Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting by Bryan Lim et al
12-19-2019	CNN-LSTM models for Multi-Speaker Source Separation using Bayesian Hyper Parameter Optimization by Jeroen Zegers et al
12-19-2019	Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems by Nick Rossenbach et al
12-17-2019	Jointly Trained Image and Video Generation using Residual Vectors by Yatin Dandi et al
12-18-2019	A Cross-Modal Image Fusion Theory Guided by Human Visual Characteristics by Aiqing Fang et al
12-19-2019	PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI by Sergio G. Burdisso et al
12-18-2019	Research Frontiers in Transfer Learning -- a systematic and bibliometric review by Frederico Guth et al
12-19-2019	Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review by Robert Keeling et al
12-20-2019	Bridging adversarial samples and adversarial networks by Faqiang Liu et al
12-20-2019	Probability Calibration for Knowledge Graph Embedding Models by Pedro Tabacof et al
12-20-2019	A Survey on Distributed Machine Learning by Joost Verbraeken et al
12-20-2019	Triple Generative Adversarial Networks by Chongxuan Li et al
12-18-2019	Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents Capabilities and Limitations by Pedro Sequeira et al
12-17-2019	Pioneer dataset and automatic recognition of Urdu handwritten characters using a deep autoencoder and convolutional neural network by Hazrat Ali et al
12-17-2019	Function Naming in Stripped Binaries Using Neural Networks by Fiorella Artuso et al
12-18-2019	Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning by Eivind Meyer et al
12-17-2019	A literature survey of matrix methods for data science by Martin Stoll
12-19-2019	Zeroth-order Stochastic Compositional Algorithms for Risk-Aware Learning by Dionysios S. Kalogerias et al
12-18-2019	Interleaved Composite Quantization for High-Dimensional Similarity Search by Soroosh Khoram et al
12-18-2019	Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning by Seul-Ki Yeom et al
12-18-2019	COBRA: Context-aware Bernoulli Neural Networks for Reputation Assessment by Leonit Zeynalvand et al
12-18-2019	Relational Mimic for Visual Adversarial Imitation Learning by Lionel Blondé et al
12-18-2019	Collective Embedding-based Entity Alignment via Adaptive Features by Wexin Zeng et al
12-20-2019	Meta-Graph: Few shot Link Prediction via Meta Learning by Avishek Joey Bose et al
12-17-2019	MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning by Shaohuai Shi et al
12-18-2019	TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis by Soroosh Khoram et al
12-17-2019	AI and Holistic Review: Informing Human Reading in College Admissions by AJ Alvero et al
12-17-2019	Field Label Prediction for Autofill in Web Browsers by Joy Bose
12-17-2019	Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection by Artem Lutov et al
12-20-2019	Robust Data Preprocessing for Machine-Learning-Based Disk Failure Prediction in Cloud Production Environments by Shujie Han et al
12-20-2019	AdaBits: Neural Network Quantization with Adaptive Bit-Widths by Qing Jin et al
12-19-2019	FIBS: A Generic Framework for Classifying Interval-based Temporal Sequences by S. Mohammad Mirbagheri et al
12-20-2019	A Hierarchical Model for Data-to-Text Generation by Clément Rebuffel et al
12-20-2019	secml: A Python Library for Secure and Explainable Machine Learning by Marco Melis et al
12-19-2019	Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation by Zichen Zhang et al
12-19-2019	Deep Learning-based Limited Feedback Designs for MIMO Systems by Jeonghyeon Jang et al
12-18-2019	Distributional Reinforcement Learning for Energy-Based Sequential Models by Tetiana Parshakova et al
12-17-2019	Transfer learning in hybrid classical-quantum neural networks by Andrea Mari et al
12-17-2019	How Personal is Machine Learning Personalization? by Travis Greene et al
12-17-2019	Cross-Lingual Ability of Multilingual BERT: An Empirical Study by Karthikeyan K et al
12-18-2019	Feature-wise change detection and robust indoor positioning using RANSAC-like approach by Caifa Zhou
12-17-2019	Embedded Constrained Feature Construction for High-Energy Physics Data Classification by Noëlie Cherrier et al
12-19-2019	Uncertainty-sensitive Learning and Planning with Ensembles by Piotr Miłoś et al
12-18-2019	Provable Non-Convex Optimization and Algorithm Validation via Submodularity by Yatao An Bian
12-17-2019	Multi-Channel Graph Convolutional Networks by Kaixiong Zhou et al
12-17-2019	A Probabilistic approach for Learning Embeddings without Supervision by Ujjal Kr Dutta et al
12-17-2019	Learning from i.i.d. data under model miss-specification by Andres R. Masegosa
12-17-2019	Deep Iterative and Adaptive Learning for Graph Neural Networks by Yu Chen et al
12-20-2019	A Fair Comparison of Graph Neural Networks for Graph Classification by Federico Errica et al
12-18-2019	Topic subject creation using unsupervised learning for topic modeling by Rashid Mehdiyev et al
12-18-2019	Adaptive Loss-aware Quantization for Multi-bit Networks by Zhongnan Qu et al
12-17-2019	Learning to grow: control of materials self-assembly using evolutionary reinforcement learning by Stephen Whitelam et al
12-20-2019	Second-order Information in First-order Optimization Methods by Yuzheng Hu et al
12-17-2019	Machine Learning-based Estimation of Forest Carbon Stocks to increase Transparency of Forest Preservation Efforts by Björn Lütjens et al
12-19-2019	Graph Convolutional Networks: analysis, improvements and results by Ihsan Ullah et al
12-19-2019	Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems by Wei Huang et al
12-20-2019	CORE: Automating Review Recommendation for Code Changes by JingKai Siow et al
12-19-2019	Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines by Giancarlo Fissore et al
12-18-2019	The Spectral Bias of the Deep Image Prior by Prithvijit Chakrabarty et al
12-18-2019	Quantum-inspired annealers as Boltzmann generators for machine learning and statistical physics by Alexander E. Ulanov et al
12-19-2019	High Resolution Millimeter Wave Imaging For Self-Driving Cars by Junfeng Guan et al
12-20-2019	Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises by Peng Gang et al
12-17-2019	ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization by Felix Ott et al
12-18-2019	Inverse Graph Learning over Optimization Networks by Vincenzo Matta et al
12-18-2019	Adversarial VC-dimension and Sample Complexity of Neural Networks by Zetong Qi et al
12-17-2019	Accelerating PDE-constrained Inverse Solutions with Deep Learning and Reduced Order Models by Sheroze Sheriffdeen et al
12-18-2019	Continuous Meta-Learning without Tasks by James Harrison et al
12-18-2019	Lower Dimensional Kernels for Video Discriminators by Emmanuel Kahembwe et al
12-18-2019	Boltzmann Exploration Expectation-Maximisation by Mathias Edman et al
12-18-2019	Deep Reinforcement Learning Designed RF Pulse: DeepRFSLRDeepRFSLR by Dongmyung Shin et al
12-18-2019	Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks by Piotr S. Maciąg et al
12-18-2019	Enabling Smartphone-based Estimation of Heart Rate by Nutta Homdee et al
12-18-2019	On the Metrics and Adaptation Methods for Domain Divergences of sEMG-based Gesture Recognition by István Ketykó et al
12-18-2019	Location Forensics Analysis Using ENF Sequences Extracted from Power and Audio Recordings by Dhiman Chowdhury et al
12-20-2019	An adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models by Aliaksandr Hubin
12-19-2019	Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks by Luca Bertinetto et al
12-17-2019	A Heterogeneous Graphical Model to Understand User-Level Sentiments in Social Media by Rahul Radhakrishnan Iyer et al
12-17-2019	Learning high-dimensional probability distributions using tree tensor networks by Erwan Grelier et al
12-17-2019	ℓ0ℓ0 Regularized Structured Sparsity Convolutional Neural Networks by Kevin Bui et al
12-18-2019	An Adaptive Similarity Measure to Tune Trust Influence in Memory-Based Collaborative Filtering by Mohammad Reza Zarei et al
12-18-2019	s-DRN: Stabilized Developmental Resonance Network by In-Ug Yoon et al
12-19-2019	Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging by Andreas Kofler et al
12-20-2019	Lightweight and Unobtrusive Privacy Preservation for Remote Inference via Edge Data Obfuscation by Dixing Xu et al
12-18-2019	The Brier Score under Administrative Censoring: Problems and Solutions by Håvard Kvamme et al
12-17-2019	A Finite-Sample Deviation Bound for Stable Autoregressive Processes by Rodrigo A. González et al
12-20-2019	CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets by Zhe Qu et al
12-19-2019	A Framework for Explainable Text Classification in Legal Document Review by Christian J. Mahoney et al
12-19-2019	Statistical Testing on ASR Performance via Blockwise Bootstrap by Zhe Liu
12-18-2019	Optimization for deep learning: theory and algorithms by Ruoyu Sun
12-17-2019	Application of Word2vec in Phoneme Recognition by Xin Feng et al
12-20-2019	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning by Deheng Ye et al
12-20-2019	Adversarial Representation Active Learning by Ali Mottaghi et al
12-17-2019	Asynchronous Federated Learning with Differential Privacy for Edge Intelligence by Yanan Li et al
12-20-2019	Dependable Neural Networks for Safety Critical Tasks by Molly O'Brien et al
12-19-2019	Pseudo-Encoded Stochastic Variational Inference by Amir Zadeh et al
12-18-2019	Benchmarking the Neural Linear Model for Regression by Sebastian W. Ober et al
12-17-2019	HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting by Geunseob Oh et al
12-18-2019	MALA: Cross-Domain Dialogue Generation with Action Learning by Xinting Huang et al
12-17-2019	A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs by Yoshua Bengio et al
12-19-2019	Data Science through the looking glass and what we found there by Fotis Psallidas et al
12-19-2019	LS-Net: Fast Single-Shot Line-Segment Detector by Van Nhan Nguyen et al
12-19-2019	Towards Verifying Robustness of Neural Networks Against Semantic Perturbations by Jeet Mohapatra et al
12-17-2019	Cost-Sensitive Feature-Value Acquisition Using Feature Relevance by Kimmo Kärkkäinen et al
12-19-2019	Extreme Learning Tree by Anton Akusok et al
12-18-2019	Analytic expressions for the output evolution of a deep neural network by Anastasia Borovykh
12-18-2019	Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline by Ilaria Bonavita et al
12-18-2019	Expanding Label Sets for Graph Convolutional Networks by Mustafa Coskun et al
12-19-2019	Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation by Minh H. Vu et al
12-18-2019	Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation by Anton Akusok et al
12-17-2019	Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies by Rushil Anirudh et al
12-17-2019	Waiting but not Aging: Age-of-Information and Utility Optimization Under the Pull Model by Fengjiao Li et al
12-17-2019	Defects Mitigation in Resistive Crossbars for Analog Vector Matrix Multiplication by Fan Zhang et al
12-18-2019	RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms by Varun Nair et al
12-18-2019	Tree pyramidal adaptive importance sampling by Javier Felip et al
12-17-2019	Analyzing Privacy Loss in Updates of Natural Language Models by Shruti Tople et al
12-20-2019	Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing by Jinyuan Jia et al
12-19-2019	Meta Decision Trees for Explainable Recommendation Systems by Eyal Shulman et al
12-19-2019	Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection by Xiao Han et al
12-19-2019	A Maximum Entropy approach to Massive Graph Spectra by Diego Granziol et al
12-19-2019	Per-sample Prediction Intervals for Extreme Learning Machines by Anton Akusok et al
12-19-2019	Confidence Bands and Hypothesis Test Methods for Recall and Precision Curves at Extremely Small Fractions with Applications to Drug Discovery by Jeremy R. Ash et al
12-20-2019	Distributed Online Optimization with Long-Term Constraints by Deming Yuan et al
12-17-2019	Bayesian Topological Learning for Brain State Classification by Farzana Nasrin et al
12-17-2019	Angular Learning: Toward Discriminative Embedded Features by JT Wu et al
12-17-2019	On the Bias-Variance Tradeoff: Textbooks Need an Update by Brady Neal
12-19-2019	A Bayesian Approach to Modelling Longitudinal Data in Electronic Health Records by Alexis Bellot et al
12-18-2019	ΣΣ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction by Kerstin Hammernik et al
12-19-2019	Spiking Networks for Improved Cognitive Abilities of Edge Computing Devices by Anton Akusok et al
12-17-2019	Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more by Julien Mairal
12-20-2019	Measuring Compositional Generalization: A Comprehensive Method on Realistic Data by Daniel Keysers et al
12-18-2019	Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking by Gustavo Penha et al
12-18-2019	One-Shot Decision-Making with and without Surrogates by Jakob Bossek et al
12-18-2019	The power of synergy in differential privacy: Combining a small curator with local randomizers by Amos Beimel et al
12-19-2019	Deep Exemplar Networks for VQA and VQG by Badri N. Patro et al
12-19-2019	Quantifying the effect of representations on task complexity by Julian Zilly et al
12-19-2019	Group-Connected Multilayer Perceptron Networks by Mohammad Kachuee et al
12-17-2019	Balancing the Tradeoff Between Clustering Value and Interpretability by Sandhya Saisubramanian et al
12-18-2019	Generalized Residual Ratio Thresholding by Sreejith Kallummil et al
12-18-2019	Incremental ELMVIS for unsupervised learning by Anton Akusok et al
12-18-2019	Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales by Dapeng Feng et al

12-19-2019	An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning by Zhiying Xu et al
12-18-2019	Adaptive Granularity in Tensors: A Quest for Interpretable Structure by Ravdeep Pasricha et al
12-17-2019	Causality matters in medical imaging by Daniel C. Castro et al
12-17-2019	An Embarrassingly Simple Baseline for eXtreme Multi-label Prediction by Yashaswi Verma
12-17-2019	Performance of regression models as a function of experiment noise by Gang Li et al
12-17-2019	Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems by Elizabeth Qian et al
12-19-2019	Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax by Andres Potapczynski et al
12-20-2019	An Artificial Intelligence approach to Shadow Rating by Angela Rita Provenzano et al
12-19-2019	Contextual Outlier Detection in Continuous-Time Event Sequences by Siqi Liu et al
12-17-2019	Sim-to-Real Domain Adaptation For High Energy Physics by Marouen Baalouch et al
12-20-2019	Progressive transfer learning for low frequency data prediction in full waveform inversion by Wenyi Hu et al
12-18-2019	CoulGAT: An Experiment on Interpretability of Graph Attention Networks by Burc Gokden
12-18-2019	Gradient-based training of Gaussian Mixture Models in High-Dimensional Spaces by Alexander Gepperth et al
12-18-2019	Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion by Hongxu Yin et al
12-18-2019	Multilevel Initialization for Layer-Parallel Deep Neural Network Training by Eric C. Cyr et al
12-18-2019	Geometric Considerations of a Good Dictionary for Koopman Analysis of Dynamical Systems by Erik Bollt
12-19-2019	Practical applicability of deep neural networks for overlapping speaker separation by Pieter Appeltans et al
12-19-2019	Tensor entropy for uniform hypergraphs by Can Chen et al
12-19-2019	Understanding Deep Neural Network Predictions for Medical Imaging Applications by Barath Narayanan Narayanan et al
12-17-2019	Supervised learning algorithms resilient to discriminatory data perturbations by Przemyslaw A. Grabowicz et al
12-19-2019	Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data by Johan S. Obando-Ceron et al
12-18-2019	Deep Connectomics Networks: Neural Network Architectures Inspired by Neuronal Networks by Nicholas Roberts et al
12-18-2019	Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker by Nicholas Roberts et al
12-18-2019	Image Restoration using Plug-and-Play CNN MAP Denoisers by Siavash Bigdeli et al
12-19-2019	Practical Solutions for Machine Learning Safety in Autonomous Vehicles by Sina Mohseni et al
12-19-2019	Bounded Manifold Completion by Kelum Gajamannage et al
12-18-2019	Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior by Sadegh Aliakbarian et al
12-20-2019	HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models by James Townsend et al
12-18-2019	Frequency-Aware Reconstruction of Fluid Simulations with Generative Networks by Simon Biland et al
12-18-2019	Computationally Efficient Neural Image Compression by Nick Johnston et al
12-19-2019	TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning by Zhongjie Yu et al
12-17-2019	The CNN-based Coronary Occlusion Site Localization with Effective Preprocessing Method by YeongHyeon Park et al
12-17-2019	srlearn: A Python Library for Gradient-Boosted Statistical Relational Models by Alexander L. Hayes
12-19-2019	Instance-wise Depth and Motion Learning from Monocular Videos by Seokju Lee et al
12-17-2019	Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game by Luca Weihs et al
12-18-2019	TextTubes for Detecting Curved Text in the Wild by Joël Seytre et al
12-20-2019	Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks by Andrey Kuzmin et al
12-17-2019	Extrinsic Kernel Ridge Regression Classifier for Planar Kendall Shape Space by Hwiyoung Lee et al
12-19-2019	Mean field theory for deep dropout networks: digging up gradient backpropagation deeply by Wei Huang et al
12-19-2019	Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach by Yingying Li et al
12-18-2019	Feature engineering workflow for activity recognition from synchronized inertial measurement units by Andreas W. Kempa-Liehr et al
12-17-2019	A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction by Heng Yang et al
12-18-2019	Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation by Marcio Moreno et al
12-17-2019	Direction Concentration Learning: Enhancing Congruency in Machine Learning by Yan Luo et al
12-19-2019	VizWiz Dataset Browser: A Tool for Visualizing Machine Learning Datasets by Nilavra Bhattacharya et al
12-19-2019	Causal statistical modeling and calculation of distribution functions of classification features by Uwe Petersohn et al
12-20-2019	Background Hardly Matters: Understanding Personality Attribution in Deep Residual Networks by Gabriëlle Ras et al
12-17-2019	Probabilistic Software Modeling: A Data-driven Paradigm for Software Analysis by Hannes Thaller et al
12-20-2019	MLRG Deep Curvature by Diego Granziol et al
12-17-2019	Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions by Orlando Romero et al
12-20-2019	Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification by Bennet Breier et al
12-20-2019	Explainability and Adversarial Robustness for RNNs by Alexander Hartl et al
12-19-2019	Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation by Jian Peng Bo Tang et al
12-19-2019	Mislabel Detection of Finnish Publication Ranks by Anton Akusok et al
12-18-2019	Preventing Information Leakage with Neural Architecture Search by Shuang Zhang et al
12-19-2019	Learning Convex Optimization Control Policies by Akshay Agrawal et al
12-19-2019	Randomized Reactive Redundancy for Byzantine Fault-Tolerance in Parallelized Learning by Nirupam Gupta et al
12-17-2019	Deep Radar Waveform Design for Efficient Automotive Radar Sensing by Shahin Khobahi et al
12-18-2019	Clusters in Explanation Space: Inferring disease subtypes from model explanations by Marc-Andre Schulz et al
12-17-2019	Neural Networks Weights Quantization: Target None-retraining Ternary (TNT) by Tianyu Zhang et al
12-17-2019	Kernel-Based Ensemble Learning in Python by Benjamin Guedj et al
12-19-2019	FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference by Bram-Ernst Verhoef et al
12-19-2019	Features or Shape? Tackling the False Dichotomy of Time Series Classification by Sara Alaee et al
12-18-2019	Tangent Space Separability in Feedforward Neural Networks by Bálint Daróczy et al