2019.04.07 SC Learning papers

04-02-2019	Analysing Mathematical Reasoning Abilities of Neural Models by David Saxton et al
04-02-2019	Augmented Neural ODEs by Emilien Dupont et al
04-02-2019	Exploring Randomly Wired Neural Networks for Image Recognition by Saining Xie et al
04-04-2019	Malware Detection using Machine Learning and Deep Learning by Hemant Rathore et al
04-03-2019	Processing Tweets for Cybersecurity Threat Awareness by Fernando Alves et al
04-03-2019	Hyperbolic Image Embeddings by Valentin Khrulkov et al
04-02-2019	Understanding language-elicited EEG data by predicting it from a fine-tuned language model by Dan Schwartz et al
04-03-2019	Consistency by Agreement in Zero-shot Neural Machine Translation by Maruan Al-Shedivat et al
04-04-2019	A Robust Learning Approach to Domain Adaptive Object Detection by Mehran Khodabandeh et al
04-03-2019	Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations by Fred Hohman et al
04-04-2019	Robust Evaluation of Language-Brain Encoding Experiments by Lisa Beinborn et al
04-03-2019	Preference-Informed Fairness by Michael P. Kim et al
04-05-2019	Structured agents for physical construction by Victor Bapst et al
04-03-2019	Progressive Stochastic Binarization of Deep Networks by David Hartmann et al
04-04-2019	Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling by Prince Zizhuang Wang et al
04-03-2019	75 Languages, 1 Model: Parsing Universal Dependencies Universally by Daniel Kondratyuk
04-02-2019	FaceQnet: Quality Assessment for Face Recognition based on Deep Learning by Javier Hernandez-Ortega et al
04-03-2019	Massively Multilingual Adversarial Speech Recognition by Oliver Adams et al
04-03-2019	Generative Adversarial Networks for text using word2vec intermediaries by Akshay Budhkar et al
04-03-2019	Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning by Gabriel V. de la Cruz et al
04-04-2019	Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks by Kai Olav Ellefsen et al
04-04-2019	Visualizing Attention in Transformer-Based Language models by Jesse Vig
04-04-2019	Combining Sentiment Lexica with a Multi-View Variational Autoencoder by Alexander Hoyle et al
04-03-2019	Continuous Direct Sparse Visual Odometry from RGB-D Images by Maani Ghaffari et al
04-03-2019	DAGCN: Dual Attention Graph Convolutional Networks by Fengwen Chen et al
04-02-2019	Learning Algorithms via Neural Logic Networks by Ali Payani et al
04-04-2019	What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems by Oliver J. Maclaren et al
04-02-2019	Peak Alignment of GC-MS Data with Deep Learning by Mike Li et al
04-03-2019	Robust Deep Gaussian Processes by Jeremias Knoblauch
04-03-2019	Cost-Sensitive Feature Selection by Optimizing F-Measures by Meng Liu et al
04-04-2019	Meta-Learning Acquisition Functions for Bayesian Optimization by Michael Volpp et al
04-04-2019	GAN-based method for cyber-intrusion detection by Hongyu Chen et al
04-03-2019	Subword-Level Language Identification for Intra-Word Code-Switching by Manuel Mager et al
04-02-2019	Generative-Discriminative Complementary Learning by Yanwu Xu et al
04-03-2019	Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer by Edward Beeching et al
04-03-2019	Low-Depth Optical Neural Networks by Xiao-Ming Zhang et al
04-04-2019	Density Matching for Bilingual Word Embedding by Chunting Zhou et al
04-02-2019	A PCA-like Autoencoder by Saïd Ladjal et al
04-02-2019	Convergence rates for the stochastic gradient descent method for non-convex objective functions by Benjamin Fehrman et al
04-03-2019	Jointly Extracting and Compressing Documents with Summary State Representations by Afonso Mendes et al
04-02-2019	Why ResNet Works? Residuals Generalize by Fengxiang He et al
04-03-2019	Defeats GAN: A Simpler Model Outperforms in Knowledge Representation Learning by Heng Wang et al
04-04-2019	Topic Spotting using Hierarchical Networks with Self Attention by Pooja Chitkara et al
04-04-2019	SMURFF: a High-Performance Framework for Matrix Factorization by Tom Vander Aa et al
04-04-2019	Transfer Learning with Sparse Associative Memories by Quentin Jodelet et al
04-04-2019	Blind Visual Motif Removal from a Single Image by Amir Hertz et al
04-02-2019	Neural Vector Conceptualization for Word Vector Space Interpretation by Robert Schwarzenberg et al
04-04-2019	Online Convex Dictionary Learning by Abhishek Agarwal et al
04-02-2019	DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis by Sangkug Lym et al
04-02-2019	Exponentially convergent stochastic k-PCA without variance reduction by Cheng Tang
04-04-2019	A Categorisation of Post-hoc Explanations for Predictive Models by John Mitros et al
04-02-2019	Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking by Saurabh Sharma et al
04-04-2019	Preference Neural Network by Ayman Elgharabawy
04-02-2019	Using Multi-Sense Vector Embeddings for Reverse Dictionaries by Michael A. Hedderich et al
04-03-2019	Deep Neural Networks for Rotation-Invariance Approximation and Learning by Charles K. Chui et al
04-05-2019	Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning by Oleksiy Ostapenko et al
04-02-2019	Measuring Calibration in Deep Learning by Jeremy Nixon et al
04-02-2019	Fence GAN: Towards Better Anomaly Detection by Cuong Phuc Ngo et al
04-03-2019	Differentially Private Model Publishing for Deep Learning by Lei Yu et al
04-04-2019	Learning Implicit Generative Models by Matching Perceptual Features by Cicero Nogueira dos Santos et al
04-05-2019	An Attentive Survey of Attention Models by Sneha Chaudhari et al
04-05-2019	Controlling Neural Networks via Energy Dissipation by Michael Moeller et al
04-03-2019	Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning by Loic Landrieu et al
04-03-2019	D22-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios by Zhengping Che et al
04-04-2019	In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data by Nishant Prateek et al
04-03-2019	Multimodal Representation Learning using Deep Multiset Canonical Correlation by Krishna Somandepalli et al
04-04-2019	Unsupervised Domain Adaptation of Contextualized Embeddings: A Case Study in Early Modern English by Xiaochuang Han et al
04-04-2019	Adaptive Sequential Machine Learning by Craig Wilson et al
04-04-2019	Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting by Ralph Abboud et al
04-04-2019	Learning to Cluster Faces on an Affinity Graph by Lei Yang et al
04-04-2019	Artificial Neural Network Modeling for Path Loss Prediction in Urban Environments by Chanshin Park et al
04-05-2019	Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer by Sungjun Lim et al
04-02-2019	Unsupervised training of a deep clustering model for multichannel blind source separation by Lukas Drude et al
04-02-2019	Generating Labels for Regression of Subjective Constructs using Triplet Embeddings by Karel Mundnich et al
04-03-2019	On the Approximation Properties of Neural Networks by Jonathan W. Siegel et al
04-03-2019	Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification by Zhun Zhong et al
04-04-2019	Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning by Jiachen Li et al
04-05-2019	Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks by Yinpeng Dong et al
04-03-2019	A Comprehensive Overhaul of Feature Distillation by Byeongho Heo et al
04-04-2019	Subject Cross Validation in Human Activity Recognition by Akbar Dehghani et al
04-05-2019	Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours by Dimitrios Stamoulis et al
04-05-2019	Scalable Nonlinear Planning with Deep Neural Network Learned Transition Models by Ga Wu et al
04-03-2019	Fourier Phase Retrieval with Extended Support Estimation via Deep Neural Network by Kyung-Su Kim et al
04-02-2019	An Efficient Network Intrusion Detection System Based on Feature Selection and Ensemble Classifier by Yu-Yang Zhou et al
04-03-2019	Rep the Set: Neural Networks for Learning Set Representations by Konstantinos Skianis et al
04-05-2019	Weakly Supervised Action Segmentation Using Mutual Consistency by Yaser Souri et al
04-02-2019	Experiments on Open-Set Speaker Identification with Discriminatively Trained Neural Networks by Stefano Imoscopi et al
04-04-2019	Empirical Bayes Regret Minimization by Chih-Wei Hsu et al
04-05-2019	Data Shapley: Equitable Valuation of Data for Machine Learning by Amirata Ghorbani et al
04-02-2019	On Geometric Structure of Activation Spaces in Neural Networks by Yuting Jia et al
04-02-2019	Enhancement of Energy-Based Swing-Up Controller via Entropy Search by Chang Sik Lee et al
04-04-2019	Planning under risk and uncertainty based on Prospect-theoretic models by Aamodh Suresh et al
04-02-2019	A Game of Dice: Machine Learning and the Question Concerning Art by Paul Todorov
04-02-2019	BCMA-ES: A Bayesian approach to CMA-ES by Eric Benhamou et al
04-04-2019	A deterministic and computable Bernstein-von Mises theorem by Guillaume P. Dehaene
04-04-2019	A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning by Duo Wang et al
04-05-2019	Diversified Hidden Markov Models for Sequential Labeling by Maoying Qiao et al
04-02-2019	Speech denoising by parametric resynthesis by Soumi Maiti et al
04-03-2019	Minimum Volume Topic Modeling by Byoungwook Jang et al
04-02-2019	Lautum Regularization for Semi-supervised Transfer Learning by Daniel Jakubovitz et al
04-04-2019	Learning Numeracy: Binary Arithmetic with Neural Turing Machines by Jacopo Castellini
04-02-2019	Synthetic learner: model-free inference on treatments over time by Davide Viviano et al
04-02-2019	Neural Program Repair by Jointly Learning to Localize and Repair by Marko Vasic et al
04-02-2019	Empirical Study of Deep Learning for Text Classification in Legal Document Review by Fusheng Wei et al
04-05-2019	Weighted Automata Extraction from Recurrent Neural Networks via Regression on State Spaces by Takamasa Okudono et al
04-05-2019	Logitron: Perceptron-augmented classification model based on an extended logistic loss function by Hyenkyun Woo
04-03-2019	Group-wise classification approach to improve Android malicious apps detection accuracy by Ashu Sharma et al
04-02-2019	Are Learned Molecular Representations Ready For Prime Time? by Kevin Yang et al
04-02-2019	Active Learning for Network Intrusion Detection by Amir Ziai
04-04-2019	Intent-Aware Probabilistic Trajectory Estimation for Collision Prediction with Uncertainty Quantification by Andrew Patterson et al
04-03-2019	The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs) by Linying Zhang et al
04-03-2019	Determining input variable ranges in Industry 4.0: A heuristic for estimating the domain of a real-valued function or trained regression model given an output range by Noelia Oses et al
04-02-2019	BCMA-ES II: revisiting Bayesian CMA-ES by Eric Benhamou et al
04-05-2019	A Literature Study of Embeddings on Source Code by Zimin Chen et al
04-05-2019	Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources by Edwin Simpson et al
04-05-2019	Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects by Igor Koval et al
04-05-2019	Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering by Congyuan Yang et al
04-05-2019	On the Equivalence of Forward Mode Automatic Differentiation and Symbolic Differentiation by Soeren Laue
04-05-2019	Eigenvalue distribution of nonlinear models of random matrices by Lucas Benigni et al
04-04-2019	Transfer Learning for Performance Modeling of Deep Neural Network Systems by Md Shahriar Iqbal et al