03.03.19 Learning papers

02-27-2019

Viable Dependency Parsing as Sequence Labeling
by Michalina Strzyz et al

02-27-2019

Adaptive Hedging under Delayed Feedback
by Alexander Korotin et al

02-26-2019

Variational Inference to Measure Model Uncertainty in Deep Neural Networks
by Konstantin Posch et al

02-28-2019

Tensor-variate Mixture of Experts
by Noémie Jaquier et al

02-27-2019

Semi-supervised GANs to Infer Travel Modes in GPS Trajectories
by Ali Yazdizadeh et al

02-26-2019

ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
by Amir Gholami et al

02-26-2019

Training Variational Autoencoders with Buffered Stochastic Variational Inference
by Rui Shu et al

02-26-2019

Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation
by Antreas Antoniou et al

02-28-2019

Probabilistic smallest enclosing ball in high dimensions via subgradient sampling
by Amer Krivošija et al

03-01-2019

Optimal Projection Guided Transfer Hashing for Image Retrieval
by Ji Liu et al

02-28-2019

Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
by Andrés F. López-Lopera et al

02-27-2019

Single-frame Regularization for Temporally Stable CNNs
by Gabriel Eilertsen et al

02-27-2019

Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning
by Evgenii Tsymbalov et al

02-27-2019

Learning a Family of Optimal State Feedback Controllers
by Christopher Iliffe Sprague et al

02-26-2019

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
by Aldo Pareja et al

02-28-2019

One-Shot Federated Learning
by Neel Guha et al

02-26-2019

On Multi-Cause Causal Inference with Unobserved Confounding: Counterexamples, Impossibility, and Alternatives
by Alexander D'Amour

02-26-2019

Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings
by Tom Everitt et al

02-28-2019

A Review of Stochastic Block Models and Extensions for Graph Clustering
by Clement Lee et al

02-28-2019

Catalyst.RL: A Distributed Framework for Reproducible RL Research
by Sergey Kolesnikov et al

02-26-2019

Fully Distributed Bayesian Optimization with Stochastic Policies
by Javier Garcia-Barcos et al

02-27-2019

Multiple Kernel Learning from UU-Statistics of Empirical Measures in the Feature Space
by Masoud Badiei Khuzani et al

02-27-2019

TrIK-SVM : an alternative decomposition for kernel methods in Krein spaces
by Gaëlle Loosli

02-27-2019

Accelerating Self-Play Learning in Go
by David J. Wu

02-27-2019

Adaptive Gaussian Copula ABC
by Yanzhi Chen et al

02-27-2019

A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers
by Imon Banerjee et al

02-26-2019

Analyzing Deep Neural Networks with Symbolic Propagation: Towards Higher Precision and Faster Verification
by Pengfei Yang et al

02-28-2019

Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors
by Ke Sun et al

02-27-2019

Reducing Artificial Neural Network Complexity: A Case Study on Exoplanet Detection
by Sebastiaan Koning et al

02-26-2019

The Termination Critic
by Anna Harutyunyan et al

02-26-2019

GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks
by Ziyao Li et al

02-28-2019

Deep learning in bioinformatics: introduction, application, and perspective in big data era
by Yu Li et al

02-28-2019

On the usage of the probability integral transform to reduce the complexity of multi-way fuzzy decision trees in Big Data classification problems
by Mikel Elkano et al

02-26-2019

Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks
by Joshua J. Michalenko et al

02-27-2019

Can learning from natural image denoising be used for seismic data interpolation?
by Hao Zhang et al

02-26-2019

Nonlinear Approximation via Compositions
by Zuowei Shen et al

02-26-2019

Online Learning with Continuous Ranked Probability Score
by Vladimir V'yugin et al

02-26-2019

Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs
by Rishabh Iyer et al

02-28-2019

On the convex geometry of blind deconvolution and matrix completion
by Felix Krahmer et al

02-26-2019

Approximate Dynamic Programming with Neural Networks in Linear Discrete Action Spaces
by Wouter van Heeswijk et al

02-26-2019

Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images
by Changhee Han et al

02-28-2019

Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN
by Ke Sun et al

02-28-2019

Model Agnostic High-Dimensional Error-in-Variable Regression
by Anish Agarwal et al

02-26-2019

Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies
by Tom Zahavy et al

02-26-2019

A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions
by Feras A. Saad et al

02-26-2019

Multi-Scale Quasi-RNN for Next Item Recommendation
by Chaoyue He et al

02-28-2019

Multi-Stage Self-Supervised Learning for Graph Convolutional Networks
by Ke Sun et al

02-26-2019

Adaptive Gradient Methods with Dynamic Bound of Learning Rate
by Liangchen Luo et al

02-28-2019

Unsupervised Abnormality Detection through Mixed Structure Regularization (MSR) in Deep Sparse Autoencoders
by Moti Freiman et al

02-28-2019

SAFE ML: Surrogate Assisted Feature Extraction for Model Learning
by Alicja Gosiewska et al

02-26-2019

A framework for information extraction from tables in biomedical literature
by Nikola Milosevic et al

03-01-2019

KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos
by Egor Lakomkin et al

02-28-2019

Virtual Adversarial Training on Graph Convolutional Networks in Node Classification
by Ke Sun et al

02-28-2019

A Unified Neural Architecture for Instrumental Audio Tasks
by Steven Spratley et al

02-27-2019

Continual Learning with Tiny Episodic Memories
by Arslan Chaudhry et al

02-27-2019

Shallow Water Bathymetry Mapping from UAV Imagery based on Machine Learning
by Panagiotis Agrafiotis et al

02-27-2019

Degenerate Feedback Loops in Recommender Systems
by Ray Jiang et al

02-26-2019

Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets
by Homayun Afrabandpey et al

02-26-2019

Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?
by Céline Hocquette et al

02-28-2019

From Visual to Acoustic Question Answering
by Jerome Abdelnour et al

02-28-2019

Active Exploration in Markov Decision Processes
by Jean Tarbouriech et al

02-26-2019

Fused Lasso for Feature Selection using Structural Information
by Lixin Cui et al

03-01-2019

Non-linear ICA based on Cramer-Wold metric
by Przemysław Spurek et al

03-01-2019

Model-Based Reinforcement Learning for Atari
by Lukasz Kaiser et al

02-28-2019

Distributed Learning with Sublinear Communication
by Jayadev Acharya et al

02-26-2019

A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing
by Sirisha Rambhatla et al

02-27-2019

Polynomial-time Algorithms for Combinatorial Pure Exploration with Full-bandit Feedback
by Yuko Kuroki et al

02-26-2019

Robust and Subject-Independent Driving Manoeuvre Anticipation through Domain-Adversarial Recurrent Neural Networks
by Michele Tonutti et al

02-27-2019

Regularity Normalization: Constraining Implicit Space with Minimum Description Length
by Baihan Lin

02-28-2019

Semantics of higher-order probabilistic programs with conditioning
by Fredrik Dahlqvist et al

02-28-2019

Improving fraud prediction with incremental data balancing technique for massive data streams
by Rafiq Ahmed Mohammed et al

02-28-2019

Meta Dynamic Pricing: Learning Across Experiments
by Hamsa Bastani et al

02-28-2019

Optimal Algorithms for Ski Rental with Soft Machine-Learned Predictions
by Rohan Kodialam

02-28-2019

A block-random algorithm for learning on distributed, heterogeneous data
by Prakash Mohan et al

02-26-2019

Context Vectors are Reflections of Word Vectors in Half the Dimensions
by Zhenisbek Assylbekov et al

02-26-2019

Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation
by Anshul Thakur et al

02-26-2019

Graph Neural Processes: Towards Bayesian Graph Neural Networks
by Andrew N. Carr et al

02-28-2019

Efficient Contextual Representation Learning Without Softmax Layer
by Liunian Harold Li et al

02-28-2019

Scaling Matters in Deep Structured-Prediction Models
by Aleksandr Shevchenko et al

03-01-2019

Machine learning in policy evaluation: new tools for causal inference
by Noemi Kreif et al

03-01-2019

TamperNN: Efficient Tampering Detection of Deployed Neural Nets
by Erwan Le Merrer et al

02-26-2019

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
by Zhiqing Sun et al

02-28-2019

Global Vectors for Node Representations
by Robin Brochier et al

02-27-2019

Clustering by the local intrinsic dimension: the hidden structure of real-world data
by Michele Allegra et al

02-26-2019

Implicit Kernel Learning
by Chun-Liang Li et al

02-26-2019

Integrated analysis of the urban water-electricity demand nexus in the Midwestern United States
by Renee Obringer et al

02-26-2019

Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era
by Nicolas Durrande et al

02-26-2019

Logarithmic Regret for parameter-free Online Logistic Regression
by Joseph De Vilmarest et al

02-27-2019

Communication without Interception: Defense against Deep-Learning-based Modulation Detection
by Muhammad Zaid Hameed et al

02-27-2019

High-Dimensional Bayesian Optimization with Manifold Gaussian Processes
by Riccardo Moriconi et al

02-27-2019

A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing
by Elizabeth Fons et al

03-01-2019

Proximal algorithms for constrained composite optimization, with applications to solving low-rank SDPs
by Yu Bai et al

02-28-2019

Novel and Efficient Approximations for Zero-One Loss of Linear Classifiers
by Hiva Ghanbari et al

02-26-2019

Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis
by Mohammad Ali Javidian et al

02-26-2019

Online Framework for Demand-Responsive Stochastic Route Optimization
by Inon Peled et al

02-26-2019

Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control
by Jeremy Morton et al

02-27-2019

Robust Decision Trees Against Adversarial Examples
by Hongge Chen et al

02-27-2019

Improving Missing Data Imputation with Deep Generative Models
by Ramiro D. Camino et al

02-28-2019

Bounds on Bayes Factors for Binomial A/B Testing
by Maciej Skorski

02-28-2019

Speeding up Deep Learning with Transient Servers
by Shijian Li et al

03-01-2019

Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention
by Eryu Xia et al

03-01-2019

Should All Temporal Difference Learning Use Emphasis?
by Xiang Gu et al

02-27-2019

Deep Learning and Gaussian Process based Band Assignment in Dual Band Systems
by Daoud Burghal et al

03-01-2019

Multi-Object Representation Learning with Iterative Variational Inference
by Klaus Greff et al

02-26-2019

Towards Efficient Data Valuation Based on the Shapley Value
by Ruoxi Jia et al

02-26-2019

Deep Adversarial Network Alignment
by Tyler Derr et al

02-26-2019

Efficient online learning with kernels for adversarial large scale problems
by Rémi Jézéquel et al

02-26-2019

HexaGAN: Generative Adversarial Nets for Real World Classification
by Uiwon Hwang et al

02-26-2019

Interaction-aware Factorization Machines for Recommender Systems
by Fuxing Hong et al

02-26-2019

Function Space Particle Optimization for Bayesian Neural Networks
by Ziyu Wang et al

02-28-2019

Learning to Plan via Neural Exploration-Exploitation Trees
by Binghong Chen et al

02-27-2019

Face Recognition Under Varying Blur, Illumination and Expression in an Unconstrained Environment
by Anubha Pearline. S et al

02-27-2019

Towards Robust ResNet: A Small Step but A Giant Leap
by Jingfeng Zhang et al

02-26-2019

Perturbed-History Exploration in Stochastic Multi-Armed Bandits
by Branislav Kveton et al

02-26-2019

Neural Packet Classification
by Eric Liang et al

02-27-2019

Learning Logistic Circuits
by Yitao Liang et al

02-27-2019

Lipschitz Adaptivity with Multiple Learning Rates in Online Learning
by Zakaria Mhammedi et al

02-26-2019

Disentangled Deep Autoencoding Regularization for Robust Image Classification
by Zhenyu Duan et al

02-28-2019

Non-Parametric Adaptation for Neural Machine Translation
by Ankur Bapna et al

03-01-2019

A Behavioral Approach to Visual Navigation with Graph Localization Networks
by Kevin Chen et al

02-27-2019

An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models
by Alexandra Chronopoulou et al

02-26-2019

Diagnosing Bottlenecks in Deep Q-learning Algorithms
by Justin Fu et al

02-27-2019

Equi-normalization of Neural Networks
by Pierre Stock et al

03-01-2019

Distributed Variational Bayesian Algorithms for Extended Object Tracking
by Junhao Hua et al

02-27-2019

Alternating Synthetic and Real Gradients for Neural Language Modeling
by Fangxin Shang et al

02-28-2019

A comparative evaluation of novelty detection algorithms for discrete sequences
by Rémi Domingues et al

02-26-2019

Learning Vertex Convolutional Networks for Graph Classification
by Lu Bai et al

02-26-2019

A Fully-Automatic Framework for Parkinsons Disease Diagnosis by Multi-Modality Images
by Jiahang Xu et al

02-26-2019

A Feature Selection Based on Perturbation Theory
by Javad Rahimipour Anaraki et al

02-26-2019

Functional Transparency for Structured Data: a Game-Theoretic Approach
by Guang-He Lee et al

03-01-2019

Frequency Domain Transformer Networks for Video Prediction
by Hafez Farazi et al

03-01-2019

Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment
by Cedric Renggli et al

02-27-2019

Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities
by Geewook Kim et al

02-27-2019

Provable Approximations for Constrained ℓpℓp Regression
by Ibrahim Jubran et al

02-27-2019

Social Credibility Incorporating Semantic Analysis and Machine Learning: A Survey of the State-of-the-Art and Future Research Directions
by Bilal Abu-Salih et al

02-27-2019

How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection
by Wenhu Chen et al

02-28-2019

No Padding Please: Efficient Neural Handwriting Recognition
by Gideon Maillette de Buy Wenniger et al

03-01-2019

A Deep DUAL-PATH Network for Improved Mammogram Image Processing
by Heyi Li et al

02-27-2019

Stochastically Rank-Regularized Tensor Regression Networks
by Arinbjörn Kolbeinsson et al

02-27-2019

Adversarial Attacks on Time Series
by Fazle Karim et al

02-27-2019

Introspection Learning
by Chris R. Serrano et al

02-27-2019

Insights into LSTM Fully Convolutional Networks for Time Series Classification
by Fazle Karim et al

02-26-2019

Coloring Big Graphs with AlphaGoZero
by Jiayi Huang et al

Craig Smith