Week ending 11.18.18 "Computer Science - Learning" Papers

11-13-2018	Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits by Branislav Kveton et al
11-13-2018	Recurrent Multi-Graph Neural Networks for Travel Cost Prediction by Jilin Hu et al
11-14-2018	Human-like machine learning: limitations and suggestions by Georgios Mastorakis
11-14-2018	Machine Learning for Combinatorial Optimization: a Methodological Tour dHorizon by Yoshua Bengio et al
11-14-2018	Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization by Senwei Liang et al
11-14-2018	Composing Modeling and Inference Operations with Probabilistic Program Combinators by Eli Sennesh et al
11-13-2018	Sorting out Lipschitz function approximation by Cem Anil et al
11-13-2018	Co-Representation Learning For Classification and Novel Class Detection via Deep Networks by Zhuoyi Wang et al
11-15-2018	A Spectral View of Adversarially Robust Features by Shivam Garg et al
11-15-2018	Unconstrained Submodular Maximization with Constant Adaptive Complexity by Lin Chen et al
11-13-2018	Neural Wavetable: a playable wavetable synthesizer using neural networks by Lamtharn Hantrakul et al
11-14-2018	Pure-Exploration for Infinite-Armed Bandits with General Arm Reservoirs by Maryam Aziz et al
11-14-2018	Real-time Power System State Estimation and Forecasting via Deep Neural Networks by Liang Zhang et al
11-14-2018	Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks by Jing Shi et al
11-14-2018	Unsupervised learning with contrastive latent variable models by Kristen Severson et al
11-14-2018	Jointly Learning to Label Sentences and Tokens by Marek Rei et al
11-14-2018	Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets by Jarrid Rector-Brooks et al
11-13-2018	Extractive Summary as Discrete Latent Variables by Aran Komatsuzaki
11-15-2018	Adversarial Examples from Cryptographic Pseudo-Random Generators by Sébastien Bubeck et al
11-13-2018	SepNE: Bringing Separability to Network Embedding by Ziyao Li et al
11-14-2018	Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN by Ruidi Chen et al
11-14-2018	Constraint-based Sequential Pattern Mining with Decision Diagrams by Amin Hosseininasab et al
11-16-2018	On the Complexity of Exploration in Goal-Driven Navigation by Maruan Al-Shedivat et al
11-16-2018	A generalized meta-loss function for distillation and learning using privileged information for classification and regression by Amina Asif et al
11-15-2018	Context-Dependent Upper-Confidence Bounds for Directed Exploration by Raksha Kumaraswamy et al
11-14-2018	A Learning-Based Framework for Line-Spectra Super-resolution by Gautier Izacard et al
11-16-2018	An Algorithmic Perspective on Imitation Learning by Takayuki Osa et al
11-13-2018	Co-regularized Alignment for Unsupervised Domain Adaptation by Abhishek Kumar et al
11-14-2018	Probabilistic Random Forest: A machine learning algorithm for noisy datasets by Itamar Reis et al
11-13-2018	Anomaly Detection using Autoencoders in High Performance Computing Systems by Andrea Borghesi et al
11-13-2018	A conjugate prior for the Dirichlet distribution by Jean-Marc Andreoli
11-15-2018	Neural Predictive Belief Representations by Zhaohan Daniel Guo et al
11-14-2018	Predicting the time-evolution of multi-physics systems with sequence-to-sequence models by K. D. Humbird et al
11-13-2018	Semi-dual Regularized Optimal Transport by Marco Cuturi et al
11-13-2018	Deep Q learning for fooling neural networks by Mandar Kulkarni
11-16-2018	Entropy-regularized Optimal Transport Generative Models by Dong Liu et al
11-13-2018	SAFE: Self-Attentive Function Embeddings for Binary Similarity by Luca Massarelli et al
11-13-2018	An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms by Qianyu Guo et al
11-13-2018	A New SVDD-Based Multivariate Non-parametric Process Capability Index by Deovrat Kakde et al
11-15-2018	Short-Term Wind-Speed Forecasting Using Kernel Spectral Hidden Markov Models by Shunsuke Tsuzuki et al
11-14-2018	Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network by Huicheng Liu
11-15-2018	Theoretical Perspective of Deep Domain Adaptation by Trung Le et al
11-14-2018	Pitfalls of Graph Neural Network Evaluation by Oleksandr Shchur et al
11-14-2018	Large-scale Interactive Recommendation with Tree-structured Policy Gradient by Haokun Chen et al
11-13-2018	Evaluating GANs via Duality by Paulina Grnarova et al
11-16-2018	A Novel Approach to Sparse Inverse Covariance Estimation Using Transform Domain Updates and Exponentially Adaptive Thresholding by Ashkan Esmaeili et al
11-13-2018	Towards Neural Machine Translation for African Languages by Jade Z. Abbott et al
11-13-2018	Few-shot Learning for Named Entity Recognition in Medical Text by Maximilian Hofer et al
11-13-2018	Modular Networks: Learning to Decompose Neural Computation by Louis Kirsch et al
11-13-2018	An Online Attention-based Model for Speech Recognition by Ruchao Fan et al
11-13-2018	A Multi-layer LSTM-based Approach for Robot Command Interaction Modeling by Martino Mensio et al
11-14-2018	Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization by Zhihui Zhu et al
11-15-2018	Tight Bayesian Ambiguity Sets for Robust MDPs by Reazul Hasan Russel et al
11-15-2018	Spatio-temporal Stacked LSTM for Temperature Prediction in Weather Forecasting by Zahra Karevan et al
11-15-2018	Physical Signal Classification Via Deep Neural Networks by Benjamin Epstein et al
11-15-2018	The Trace Criterion for Kernel Bandwidth Selection for Support Vector Data Description by Arin Chaudhuri et al
11-16-2018	nn-dependability-kit: Engineering Neural Networks for Safety-Critical Systems by Chih-Hong Cheng et al
11-13-2018	ML-Net: multi-label classification of biomedical texts with deep neural networks by Jingcheng Du et al
11-16-2018	Subtask Gated Networks for Non-Intrusive Load Monitoring by Changho Shin et al
11-14-2018	Sample complexity of partition identification using multi-armed bandits by Sandeep Juneja et al

11-14-2018	QUENN: QUantization Engine for low-power Neural Networks by Miguel de Prado et al
11-15-2018	On transfer learning using a MAC model variant by Vincent Marois et al
11-15-2018	Exploiting Class Learnability in Noisy Data by Matthew Klawonn et al
11-15-2018	On Training Targets and Objective Functions for Deep-Learning-Based Audio-Visual Speech Enhancement by Daniel Michelsanti et al
11-16-2018	Stochastic Adaptive Neural Architecture Search for Keyword Spotting by Tom Véniat et al
11-14-2018	Fast Distribution Grid Line Outage Identification with μμPMU by Yizheng Liao et al
11-13-2018	Community Exploration: From Offline Optimization to Online Learning by Xiaowei Chen et al
11-15-2018	A note on hyperparameters in black-box adversarial examples by Jamie Hayes
11-15-2018	Learning to Predict the Cosmological Structure Formation by Siyu He et al
11-15-2018	Reward-estimation variance elimination in sequential decision processes by Sergey Pankov
11-15-2018	Model-based Approximate Query Processing by Moritz Kulessa et al
11-14-2018	Natural Environment Benchmarks for Reinforcement Learning by Amy Zhang et al
11-13-2018	ImageNet/ResNet-50 Training in 224 Seconds by Hiroaki Mikami et al
11-13-2018	Theoretical Analysis of Adversarial Learning: A Minimax Approach by Zhuozhuo Tu et al
11-13-2018	Learning to Compensate Photovoltaic Power Fluctuations from Images of the Sky by Imitating an Optimal Policy by Robin Spiess et al
11-13-2018	Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks by Chang Xu et al
11-15-2018	Effects of Lombard Reflex on the Performance of Deep-Learning-Based Audio-Visual Speech Enhancement Systems by Daniel Michelsanti et al
11-14-2018	Verification of Recurrent Neural Networks Through Rule Extraction by Qinglong Wang et al
11-13-2018	Two-stream convolutional networks for end-to-end learning of self-driving cars by Nelson Fernandez
11-16-2018	Using recurrences in time and frequency within U-net architecture for speech enhancement by Tomasz Grzywalski et al
11-14-2018	Interpretable deep learning for guided structure-property explorations in photovoltaics by Balaji Sesha Sarath Pokuri et al
11-14-2018	Streaming Network Embedding through Local Actions by Xi Liu et al
11-14-2018	Melodic Phrase Segmentation By Deep Neural Networks by Yixing Guan et al
11-14-2018	Bandana: Using Non-volatile Memory for Storing Deep Learning Models by Assaf Eisenman et al
11-14-2018	SCORE+ for Network Community Detection by Jiashun Jin et al
11-15-2018	Mathematical Analysis of Adversarial Attacks by Zehao Dou et al
11-15-2018	Development and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer by Kunal Nagpal et al
11-14-2018	A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans by Ezequiel de la Rosa et al
11-14-2018	Efficient and Scalable Multi-task Regression on Massive Number of Tasks by Xiao He et al
11-15-2018	Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search by Lars Buesing et al
11-15-2018	Towards Explainable Deep Learning for Credit Lending: A Case Study by Ceena Modarres et al
11-14-2018	Catch and Prolong: recurrent neural network for seeking track-candidates by Dmitriy Baranov et al
11-14-2018	Deep Bayesian Inversion by Jonas Adler et al
11-15-2018	Mean Square Prediction Error of Misspecified Gaussian Process Models by Thomas Beckers et al
11-13-2018	Iteratively Training Look-Up Tables for Network Quantization by Fabien Cardinaux et al
11-13-2018	Emergence of Addictive Behaviors in Reinforcement Learning Agents by Vahid Behzadan et al
11-14-2018	Tetris: Re-architecting Convolutional Neural Network Computation for Machine Learning Accelerators by Hang Lu et al
11-14-2018	Newton Methods for Convolutional Neural Networks by Chien-Chih Wang et al
11-15-2018	AclNet: efficient end-to-end audio classification CNN by Jonathan J Huang et al
11-15-2018	Infinite-Horizon Gaussian Processes by Arno Solin et al
11-15-2018	Subspace Clustering through Sub-Clusters by Weiwei Li et al
11-13-2018	Aequitas: A Bias and Fairness Audit Toolkit by Pedro Saleiro et al
11-13-2018	How Secure are Deep Learning Algorithms from Side-Channel based Reverse Engineering? by Manaar Alam et al
11-16-2018	Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral Algorithm by Sam Cole et al
11-16-2018	Pre-training Graph Neural Networks with Kernels by Nicolò Navarin et al
11-16-2018	Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition by Wissam J. Baddar et al
11-14-2018	Adversarial Unsupervised Representation Learning for Activity Time-Series by Karan Aggarwal et al
11-14-2018	Improving Fingerprint Pore Detection with a Small FCN by Gabriel Dahia et al
11-15-2018	Composite Binary Decomposition Networks by You Qiaoben et al
11-15-2018	Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction by Long Nguyen et al
11-13-2018	Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents by Aditya Siddhant et al
11-13-2018	Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives by Abhishek Divekar et al
11-13-2018	Comparison of Feature Extraction Methods and Predictors for Income Inference by Martin Fixman et al