2019.06.02 CS papers

05-30-2019	Effective Medical Test Suggestions Using Deep Reinforcement Learning by Yang-En Chen et al
05-28-2019	Adversarial Domain Adaptation Being Aware of Class Relationships by Zeya Wang et al
05-30-2019	All SMILES VAE by Zaccary Alperstein et al
05-31-2019	ParPaRaw: Massively Parallel Parsing of Delimiter-Separated Raw Data by Elias Stehle et al
05-28-2019	Competitive Gradient Descent by Florian Schäfer et al
05-30-2019	Visualizing a Moving Target: A Design Study on Task Parallel Programs in the Presence of Evolving Data and Concerns by Katy Williams et al
05-28-2019	Overlearning Reveals Sensitive Attributes by Congzheng Song et al
05-28-2019	A Parameterized Perspective on Protecting Elections by Palash Dey et al
05-30-2019	Memory-efficient and fast implementation of local adaptive binarization methods by Chungkwong Chan
05-28-2019	Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017 by Maksim Belousov et al
05-29-2019	Enriching Bibliographic Data by Combining String Matching and the Wikidata Knowledge Graph to Improve the Measurement of International Research Collaboration by Ba Xuan Nguyen et al
05-30-2019	Somewhere Around That Number: An Interview Study of How Spreadsheet Users Manage Uncertainty by Judith Borghouts et al
05-29-2019	Learning the Non-linearity in Convolutional Neural Networks by Gavneet Singh Chadha et al
05-29-2019	Unpredictability of AI by Roman V. Yampolskiy
05-30-2019	Align-and-Attend Network for Globally and Locally Coherent Video Inpainting by Sanghyun Woo et al
05-29-2019	Adversarial Sub-sequence for Text Generation by Xingyuan Chen et al
05-29-2019	Ultimate Power of Inference Attacks: Privacy Risks of High-Dimensional Models by Sasi Kumar Murakonda et al
05-28-2019	Dimension Reduction Approach for Interpretability of Sequence to Sequence Recurrent Neural Networks by Kun Su et al
05-29-2019	Targeted Attacks on Deep Reinforcement Learning Agents through Adversarial Observations by Léonard Hussenot et al
05-30-2019	Reinforcement Learning for Mean Field Game by Nilay Tiwari et al
05-28-2019	Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters by Jayadev Acharya et al
05-30-2019	Exploiting Uncertainty of Loss Landscape for Stochastic Optimization by Vineeth S. Bhaskara et al
05-30-2019	ImJoy: an open-source computational platform for the deep learning era by Wei Ouyang et al
05-29-2019	A Quaternion-based Certifiably Optimal Solution to the Wahba Problem with Outliers by Heng Yang et al
05-30-2019	3D Reconstruction of Whole Stomach from Endoscope Video Using Structure-from-Motion by Aji Resindra Widya et al
05-28-2019	Memory Integrity of CNNs for Cross-Dataset Facial Expression Recognition by Dylan C. Tannugi et al
05-29-2019	Designing and Implementing Data Warehouse for Agricultural Big Data by Vuong M. Ngo et al
05-29-2019	Automatically Dismantling Online Dating Fraud by Guillermo Suarez-Tangil et al
05-30-2019	Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations by Brijen Thananjeyan et al
05-29-2019	Active Learning in the Overparameterized and Interpolating Regime by Mina Karzand et al
05-29-2019	NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds by Pengfei Jin et al
05-30-2019	Unbabels Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing by António V. Lopes et al
05-31-2019	Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning by Tailai Wen et al
05-28-2019	Exploiting Persona Information for Diverse Generation of Conversational Responses by Haoyu Song et al
05-28-2019	Recognition in Unseen Domains: Domain Generalization via Universal Non-volume Preserving Models by Thanh-Dat Truong et al
05-28-2019	Accelerating Extreme Classification via Adaptive Feature Agglomeration by Ankit Jalan et al
05-29-2019	Matrix-Free Preconditioning in Online Learning by Ashok Cutkosky et al
05-31-2019	Foundations of Digital Arch{\ae}oludology by Cameron Browne et al
05-29-2019	Food for thought: Ethical considerations of user trust in computer vision by Kaylen J. Pfisterer et al
05-28-2019	Texture CNN for Thermoelectric Metal Pipe Image Classification by Daniel Vriesman et al
05-29-2019	Adversarial Imitation Learning from Incomplete Demonstrations by Mingfei Sun et al
05-28-2019	OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks by Jiashi Li et al
05-28-2019	BreizhCrops: A Satellite Time Series Dataset for Crop Type Identification by Marc Rußwurm et al
05-31-2019	Interval timing in deep reinforcement learning agents by Ben Deverett et al
05-31-2019	Attention Is (not) All You Need for Commonsense Reasoning by Tassilo Klein et al
05-29-2019	Vector-Valued Graph Trend Filtering with Non-Convex Penalties by Rohan Varma et al
05-30-2019	Sum-of-squares meets square loss: Fast rates for agnostic tensor completion by Dylan J. Foster et al
05-28-2019	A Framework for App Store Optimization by Artur Strzelecki
05-28-2019	Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network by Kun Xu et al
05-31-2019	Content Word-based Sentence Decoding and Evaluating for Open-domain Neural Response Generation by Tianyu Zhao et al
05-28-2019	Semi-Supervised Learning, Causality and the Conditional Cluster Assumption by Julius von Kügelgen et al
05-28-2019	Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding by Peixian Chen et al
05-29-2019	Scalable and transferable learning of algorithms via graph embedding for multi-robot reward collection by Hyunwook Kang et al
05-30-2019	An attention-based multi-resolution model for prostate whole slide imageclassification and localization by Jiayun Li et al
05-29-2019	Modeling Theory of Mind in Multi-Agent Games Using Adaptive Feedback Control by Ismael T. Freire et al
05-30-2019	General Dynamic Neural Networks for explainable PID parameter tuning in control engineering: An extensive comparison by Johannes Günther et al
05-29-2019	Disentangling Monocular 3D Object Detection by Andrea Simonelli et al
05-28-2019	Cross-Domain Transferability of Adversarial Perturbations by Muzammal Naseer et al
05-28-2019	Monetary Stabilization in Cryptocurrencies - Design Approaches and Open Questions by Ingolf G. A. Pernice et al
05-29-2019	Clustering without Over-Representation by Sara Ahmadian et al
05-30-2019	Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation by Ke Wang et al
05-28-2019	Composing Neural Algorithms with Fugu by James B Aimone et al
05-28-2019	Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition by Jingzhao Zhang et al
05-28-2019	Differentiable Sorting using Optimal Transport:The Sinkhorn CDF and Quantile Operator by Marco Cuturi et al
05-30-2019	Counting and Segmenting Sorghum Heads by Min-hwan Oh et al
05-28-2019	Evaluating and Calibrating Uncertainty Prediction in Regression Tasks by Dan Levi et al
05-29-2019	Segmentation of blood vessels in retinal fundus images by Michiel Straat et al
05-29-2019	Personalizing human activity recognition models using incremental learning by Pekka Siirtola et al
05-28-2019	Compositional Convolutional Networks For Robust Object Classification under Occlusion by Adam Kortylewski et al
05-29-2019	Convergence of Distributed Stochastic Variance Reduced Methods without Sampling Extra Data by Shicong Cen et al
05-30-2019	A survey of advances in vision-based vehicle re-identification by Sultan Daud Khan et al
05-29-2019	Where is the Information in a Deep Neural Network? by Alessandro Achille et al
05-30-2019	Meta Dropout: Learning to Perturb Features for Generalization by Hae Beom Lee et al
05-29-2019	SECRET: Semantically Enhanced Classification of Real-world Tasks by Ayten Ozge Akmandor et al
05-28-2019	A Cross-Domain Transferable Neural Coherence Model by Peng Xu et al
05-28-2019	An Investigation of Data Poisoning Defenses for Online Learning by Yizhen Wang et al
05-28-2019	Conditions on Features for Temporal Difference-Like Methods to Converge by Marcus Hutter et al
05-28-2019	Average Bias and Polynomial Sources by Arnab Bhattacharyya et al
05-28-2019	NIL: Learning Nonlinear Interpolants by Mingshuai Chen et al
05-28-2019	Concavifiability and convergence: necessary and sufficient conditions for gradient descent analysis by Thulasi Tholeti et al
05-28-2019	CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks by Weicheng Li et al
05-31-2019	Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection by Changhee Han et al
05-28-2019	Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding by Yigit Ugur et al
05-28-2019	Approximate Guarantees for Dictionary Learning by Aditya Bhaskara et al
05-29-2019	Replica-exchange Nos\e-Hoover dynamics for Bayesian learning on large datasets by Rui Luo et al
05-31-2019	TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection by Lin Song et al
05-28-2019	A Graph Theoretic Additive Approximation of Optimal Transport by Nathaniel Lahn et al
05-30-2019	Multi-modal Discriminative Model for Vision-and-Language Navigation by Haoshuo Huang et al
05-30-2019	Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators by Dae Ung Jo et al
05-29-2019	Flexible Mining of Prefix Sequences from Time-Series Traces by Antonio Anastasio Bruto da Costa et al
05-29-2019	Dont Persist All : Efficient Persistent Data Structures by Pratyush Mahapatra et al
05-30-2019	Provably Efficient Q-Learning with Low Switching Cost by Yu Bai et al
05-29-2019	Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator by Karl Krauth et al
05-29-2019	Regret Bounds for Thompson Sampling in Restless Bandit Problems by Young Hun Jung et al
05-31-2019	Learning Sparse Networks Using Targeted Dropout by Aidan N. Gomez et al
05-28-2019	Probabilistic Category-Level Pose Estimation via Segmentation and Predicted-Shape Priors by Benjamin Burchfiel et al
05-31-2019	Crowdsourcing and Validating Event-focused Emotion Corpora for German and English by Enrica Troiano et al
05-31-2019	Subspace Networks for Few-shot Classification by Arnout Devos et al
05-30-2019	Large Scale Incremental Learning by Yue Wu et al
05-30-2019	Function approximation by deep networks by H. N. Mhaskar et al
05-30-2019	Imitation Learning as ff-Divergence Minimization by Liyiming Ke et al
05-30-2019	Learning Compositional Neural Programs with Recursive Tree Search and Planning by Thomas Pierrot et al
05-28-2019	Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss by Pengcheng Li et al
05-30-2019	Deep multi-class learning from label proportions by Gabriel Dulac-Arnold et al
05-29-2019	Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification by Zhao Zhang et al
05-29-2019	MCompiler: A Synergistic Compilation Framework by Aniket Shivam et al
05-28-2019	Harnessing Slow Dynamics in Neuromorphic Computation by Tianlin Liu
05-28-2019	AdaOja: Adaptive Learning Rates for Streaming PCA by Amelia Henriksen et al
05-29-2019	TopExNet: Entity-Centric Network Topic Exploration in News Streams by Andreas Spitz et al
05-28-2019	Hydras and IPFS: A Decentralised Playground for Malware by Constantinos Patsakis et al
05-29-2019	Smooth Shells: Multi-Scale Shape Registration with Functional Maps by Marvin Eisenberger et al
05-28-2019	LeTS-Drive: Driving in a Crowd by Learning from Tree Search by Panpan Cai et al
05-28-2019	Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices by Nicolas Scheiner et al
05-28-2019	Progressive Learning of Low-Precision Networks by Zhengguang Zhou et al
05-29-2019	A unified variance-reduced accelerated gradient method for convex optimization by Guanghui Lan et al
05-31-2019	Bypassing Backdoor Detection Algorithms in Deep Learning by Te Juin Lester Tan et al
05-30-2019	Rethinking Table Parsing using Graph Neural Networks by Shah Rukh Qasim et al
05-28-2019	Combinatorial Bandits with Full-Bandit Feedback: Sample Complexity and Regret Minimization by Idan Rejwan et al
05-31-2019	Scaffold-based molecular design using graph generative model by Jaechang Lim et al
05-30-2019	Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks by Yuan Cao et al
05-28-2019	The HyperBagGraph DataEdron: An Enriched Browsing Experience of Multimedia Datasets by Xavier Ouvrard et al
05-29-2019	Learning to Crawl by Utkarsh Upadhyay et al
05-30-2019	Information theoretic learning of robust deep representations by Nicolas Pinchaud
05-30-2019	Using Restart Heuristics to Improve Agent Performance in Angry Birds by Tommy Liu et al
05-28-2019	When can unlabeled data improve the learning rate? by Christina Göpfert et al
05-29-2019	Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering by Liwei Wu et al
05-30-2019	Exploring Computational User Models for Agent Policy Summarization by Isaac Lage et al
05-30-2019	Parallel Algorithm for Non-Monotone DR-Submodular Maximization by Alina Ene et al
05-30-2019	One-element Batch Training by Moving Window by Przemysław Spurek et al
05-28-2019	Dynamic Nonparametric Edge-Clustering Model for Time-Evolving Sparse Networks by Elahe Ghalebi et al
05-29-2019	Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward by Adnan Qayyum et al
05-28-2019	Matching on What Matters: A Pseudo-Metric Learning Approach to Matching Estimation in High Dimensions by Gentry Johnson et al
05-31-2019	Fast Solar Image Classification Using Deep Learning and its Importance for Automation in Solar Physics by John A. Armstrong et al
05-28-2019	Union Visual Translation Embedding for Visual Relationship Detection and Scene Graph Generation by Zih-Siou Hung et al
05-30-2019	A Hippocampus Model for Online One-Shot Storage of Pattern Sequences by Jan Melchior et al
05-29-2019	Fair Decision Making using Privacy-Protected Data by Satya Kuppam et al
05-28-2019	EM Converges for a Mixture of Many Linear Regressions by Jeongyeol Kwon et al
05-28-2019	RecNets: Channel-wise Recurrent Convolutional Neural Networks by George Retsinas et al
05-28-2019	SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images by Nour Karessli et al
05-30-2019	Standing on the Shoulders of Giants: AI-driven Calibration of Localisation Technologies by Aftab Khan et al
05-29-2019	Rank-one Multi-Reference Factor Analysis by Yariv Aizenbud et al
05-30-2019	Structured Output Learning with Conditional Generative Flows by You Lu et al
05-30-2019	Identifying Classes Susceptible to Adversarial Attacks by Rangeet Pan et al
05-31-2019	End to end learning and optimization on graphs by Bryan Wilder et al
05-31-2019	Unlabeled Data Improves Adversarial Robustness by Yair Carmon et al
05-31-2019	On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder by Haowen Xu et al
05-28-2019	SGD on Neural Networks Learns Functions of Increasing Complexity by Preetum Nakkiran et al
05-30-2019	Supervised Online Hashing via Similarity Distribution Learning by Mingbao Lin et al
05-30-2019	Residual Networks as Nonlinear Systems: Stability Analysis using Linearization by Kai Rothauge et al
05-30-2019	Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1 by Qigong Sun et al
05-28-2019	Differentiable Algorithm Networks for Composable Robot Learning by Peter Karkus et al
05-30-2019	Toward Runtime-Throttleable Neural Networks by Jesse Hostetler
05-29-2019	Deep ensemble learning for Alzheimers disease classification by Ning An et al
05-31-2019	Fine-Grained Spoiler Detection from Large-Scale Review Corpora by Mengting Wan et al
05-29-2019	Rethinking Full Connectivity in Recurrent Neural Networks by Matthijs Van Keirsbilck et al
05-28-2019	Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics by Yi Xiang Marcus Tan et al
05-30-2019	Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning by Tahira Naseem et al
05-30-2019	String-to-String Interpretations with Polynomial-Size Output by Mikołaj Bojańczyk et al
05-30-2019	Persistent homology detects curvature by Peter Bubenik et al
05-28-2019	Constructing High Precision Knowledge Bases with Subjective and Factual Attributes by Ari Kobren et al
05-29-2019	Cognitively-inspired Agent-based Service Composition for Mobile & Pervasive Computing by Oscar J. Romero
05-30-2019	Near-Term Quantum-Classical Associative Adversarial Networks by Eric R. Anschuetz et al
05-30-2019	Regression with Conditional GAN by Karan Aggarwal et al
05-31-2019	L0 Regularization Based Neural Network Design and Compression by S. Asim Ahmed
05-31-2019	Implicit Regularization in Deep Matrix Factorization by Sanjeev Arora et al
05-28-2019	Guarantees for Sound Abstractions for Generalized Planning (Extended Paper) by Blai Bonet et al

05-29-2019	Accelerated Sparsified SGD with Error Feedback by Tomoya Murata et al
05-31-2019	Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input by Maxence Ernoult et al
05-30-2019	Deep Adversarial Social Recommendation by Wenqi Fan et al
05-28-2019	Solving graph compression via optimal transport by Vikas K. Garg et al
05-28-2019	Machine Learning on data with sPlot background subtraction by Maxim Borisyak et al
05-30-2019	Enriched Mixtures of Gaussian Process Experts by Charles W. L. Gadd et al
05-29-2019	From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone by Pekka Siirtola et al
05-29-2019	Lifelong Bayesian Optimization by Yao Zhang et al
05-29-2019	Super Interaction Neural Network by Yang Yao et al
05-28-2019	Cyclicality, Periodicity and the Topology of Time Series by Paweł Dłotko et al
05-28-2019	A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems by Tianle Cai et al
05-31-2019	Deep interpretable architecture for plant diseases classification by Mohammed Brahimi et al
05-28-2019	Information-Theoretic Registration with Explicit Reorientation of Diffusion-Weighted Images by Henrik Grønholt Jensen et al
05-29-2019	Evaluating Artificial Systems for Pairwise Ranking Tasks Sensitive to Individual Differences by Xing Liu et al
05-28-2019	Repeated A/B Testing by Nicolò Cesa-Bianchi et al
05-28-2019	Towards a Wearable Interface for Food Quality Grading through ERP Analysis by M. Guermandi et al
05-28-2019	A Hessian Based Complexity Measure for Deep Networks by Hamid Javadi et al
05-30-2019	DeepShift: Towards Multiplication-Less Neural Networks by Mostafa Elhoushi et al
05-30-2019	Optimal Timing of Moving Target Defense: A Stackelberg Game Model by Henger Li et al
05-29-2019	Reallocating Multiple Facilities on the Line by Dimitris Fotakis et al
05-31-2019	Are Labels Required for Improving Adversarial Robustness? by Jonathan Uesato* et al
05-31-2019	Concurrency in Boolean networks by Thomas Chatain et al
05-31-2019	Using Natural Language Processing to Develop an Automated Orthodontic Diagnostic System by Tomoyuki Kajiwara et al
05-28-2019	The Nipple-Areola Complex for Criminal Identification by Wojciech Michal Matkowski et al
05-29-2019	A Survey on the Detection of Android Malicious Apps by Sanjay K. Sahay et al
05-29-2019	Global Guarantees for Blind Demodulation with Generative Priors by Paul Hand et al
05-28-2019	Deep Factors for Forecasting by Yuyang Wang et al
05-28-2019	Probabilistically True and Tight Bounds for Robust Deep Neural Network Training by Salman Alsubaihi et al
05-29-2019	Coherent Semantic Attention for Image Inpainting by Hongyu Liu et al
05-28-2019	An Incremental Turn-Taking Model For Task-Oriented Dialog Systems by Andrei C. Coman et al
05-29-2019	Towards better substitution-based word sense induction by Asaf Amrami et al
05-28-2019	Attacker Behaviour Profiling using Stochastic Ensemble of Hidden Markov Models by Soham Deshmukh et al
05-30-2019	Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems by Xiaofeng Li et al
05-29-2019	Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models by Amrita Roy Chowdhury et al
05-28-2019	Direct Nonlinear Acceleration by Aritra Dutta et al
05-28-2019	Texture CNN for Histopathological Image Classification by Jonathan de Matos et al
05-29-2019	Intrinsic dimension of data representations in deep neural networks by Alessio Ansuini et al
05-30-2019	Multi-Objective Generalized Linear Bandits by Shiyin Lu et al
05-29-2019	An Inertial Newton Algorithm for Deep Learning by Camille Castera et al
05-30-2019	Implicit Regularization of Accelerated Methods in Hilbert Spaces by Nicolò Pagliana et al
05-30-2019	Efficient Covariance Estimation from Temporal Data by Hrayr Harutyunyan et al
05-28-2019	Asymptotically Unambitious Artificial General Intelligence by Michael K Cohen et al
05-28-2019	Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings by Angel Daruna et al
05-28-2019	Global forensic geolocation with deep neural networks by Neal S. Grantham et al
05-30-2019	AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows by Aditya Grover et al
05-29-2019	Model Similarity Mitigates Test Set Overuse by Horia Mania et al
05-29-2019	GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series by Edward De Brouwer et al
05-30-2019	Fast Online Next Best Offers using Deep Learning by Rekha Singhal et al
05-29-2019	Meta-Learning Representations for Continual Learning by Khurram Javed et al
05-29-2019	Recurrent Existence Determination Through Policy Optimization by Baoxiang Wang
05-29-2019	Advantage Amplification in Slowly Evolving Latent-State Environments by Martin Mladenov et al
05-30-2019	Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers by Manuele Rusci et al
05-30-2019	Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks by Donghyun Na et al
05-30-2019	Information Source Detection with Limited Time Knowledge by Xuecheng Liu et al
05-28-2019	Regression via Kirszbraun Extension with Applications to Imitation Learning by Armin Biess et al
05-29-2019	Attention Based Pruning for Shift Networks by Ghouthi Boukli Hacene et al
05-31-2019	Information Minimization In Emergent Languages by Eugene Kharitonov et al
05-31-2019	Distributed Submodular Minimization via Block-Wise Updates and Communications by Francesco Farina et al
05-28-2019	Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels by Ali Hatamizadeh et al
05-28-2019	Online Filter Clustering and Pruning for Efficient Convnets by Zhengguang Zhou et al
05-29-2019	Hierarchical Feature Aggregation Networks for Video Action Recognition by Swathikiran Sudhakaran et al
05-29-2019	On the Clique-Width of Unigraphs by Yu Nakahata
05-28-2019	Uncertainty-based Continual Learning with Adaptive Regularization by Hongjoon Ahn et al
05-30-2019	Formal Modeling and SMT-Based Parameterized Verification of Multi-Case Data-Aware BPMN by Diego Calvanese et al
05-29-2019	KG-GAN: Knowledge-Guided Generative Adversarial Networks by Che-Han Chang et al
05-31-2019	Principal Fairness: \\ Removing Bias via Projections by Aris Anagnostopoulos et al
05-30-2019	On the Accuracy of Influence Functions for Measuring Group Effects by Pang Wei Koh et al
05-30-2019	Rules with parameters in modal logic II by Emil Jeřábek
05-30-2019	Distribution-dependent and Time-uniform Bounds for Piecewise i.i.d Bandits by Subhojyoti Mukherjee et al
05-29-2019	Instance-Aware Representation Learning and Association for Online Multi-Person Tracking by Hefeng Wu et al
05-31-2019	Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds by Peng Cao et al
05-29-2019	An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient by Pan Xu et al
05-30-2019	Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections by Raanan Y. Rohekar et al
05-30-2019	Monotonic Gaussian Process Flow by Ivan Ustyuzhaninov et al
05-29-2019	Definitively Identifying an Inherent Limitation to Actual Cognition by Arthur Charlesworth
05-28-2019	Planning with State Abstractions for Non-Markovian Task Specifications by Yoonseon Oh et al
05-29-2019	Workflow Management on BFT Blockchains by Joerg Evermann et al
05-28-2019	Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances by Diane Bouchacourt et al
05-28-2019	Chasing Convex Bodies with Linear Competitive Ratio by C. J. Argue et al
05-29-2019	Image-to-Image Translation with Multi-Path Consistency Regularization by Jianxin Lin et al
05-29-2019	Address Instance-level Label Prediction in Multiple Instance Learning by Minlong Peng et al
05-31-2019	Reinforcement Learning Experience Reuse with Policy Residual Representation by Wen-Ji Zhou et al
05-31-2019	ADMM for Efficient Deep Learning with Global Convergence by Junxiang Wang et al
05-31-2019	Leveraging Trust and Distrust in Recommender Systems via Deep Learning by Dimitrios Rafailidis
05-28-2019	Sketch-based Randomized Algorithms for Dynamic Graph Regression by Mostafa Haghir Chehreghani
05-30-2019	Matrix Completion in the Unit Hypercube via Structured Matrix Factorization by Emanuele Bugliarello et al
05-30-2019	Unsupervised pre-training helps to conserve views from input distribution by Nicolas Pinchaud
05-31-2019	GSN: A Graph-Structured Network for Multi-Party Dialogues by Wenpeng Hu et al
05-30-2019	A Non-repetitive Logic for Verification of Dynamic Memory with Explicit Heap Conjunction and Disjunction by René Haberland et al
05-31-2019	Partial Scan Electron Microscopy with Deep Learning by Jeffrey M. Ede et al
05-30-2019	Quantifying consensus of rankings based on q-support patterns by Zhengui Xue et al
05-29-2019	Predicting next shopping stage using Google Analytics data for E-commerce applications by Mihai Cristian Pîrvu et al
05-28-2019	On the Inductive Bias of Neural Tangent Kernels by Alberto Bietti et al
05-29-2019	Image Denoising with Graph-Convolutional Neural Networks by Diego Valsesia et al
05-31-2019	Neural Likelihoods for Multi-Output Gaussian Processes by Martin Jankowiak et al
05-30-2019	Discriminative Clustering for Robust Unsupervised Domain Adaptation by Rui Wang et al
05-30-2019	Multitask Text-to-Visual Embedding with Titles and Clickthrough Data by Pranav Aggarwal et al
05-28-2019	Invertible generative models for inverse problems: mitigating representation error and dataset bias by Muhammad Asim et al
05-28-2019	Recursive Estimation for Sparse Gaussian Process Regression by Manuel Schürch et al
05-29-2019	Understanding the Effectiveness of Data Reduction in Public Transportation Networks by Thomas Bläsius et al
05-29-2019	Improved Analysis of Highest-Degree Branching for Feedback Vertex Set by Yoichi Iwata et al
05-30-2019	Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network by Jennifer L Cardona et al
05-30-2019	Understanding Goal-Oriented Active Learning via Influence Functions by Minjie Xu et al
05-31-2019	Pre-Training Graph Neural Networks for Generic Structural Feature Extraction by Ziniu Hu et al
05-31-2019	Effective writing style imitation via combinatorial paraphrasing by Tommi Gröndahl et al
05-30-2019	Equipping Experts/Bandits with Long-term Memory by Kai Zheng et al
05-29-2019	Switching Linear Dynamics for Variational Bayes Filtering by Philip Becker-Ehmck et al
05-31-2019	Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning by Matthew A. Wright et al
05-31-2019	Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning by Yang Liu et al
05-29-2019	Misleading Authorship Attribution of Source Code using Adversarial Learning by Erwin Quiring et al
05-29-2019	A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems by Frank van Harmelen et al
05-29-2019	Deep-Learning-Based Audio-Visual Speech Enhancement in Presence of Lombard Effect by Daniel Michelsanti et al
05-30-2019	Recovery of binary sparse signals from compressed linear measurements via polynomial optimization by Sophie M. Fosson et al
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