2020.02.02 Learning papers

 

01-29-2020

Bayesian Reasoning with Deep-Learned Knowledge
by Jakob Knollmüller et al

01-29-2020

Ensemble Grammar Induction For Detecting Anomalies in Time Series
by Yifeng Gao et al

01-29-2020

Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)
by Yasir Alanazi et al

01-30-2020

Grassmannian Optimization for Online Tensor Completion and Tracking in the t-SVD Algebra
by Kyle Gilman et al

01-28-2020

Multi-class Gaussian Process Classification with Noisy Inputs
by Carlos Villacampa-Calvo et al

01-30-2020

How Does BN Increase Collapsed Neural Network Filters?
by Sheng Zhou et al

01-28-2020

Discrete Signal Processing with Set Functions
by Markus Püschel et al

01-28-2020

LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations
by Benjamin Sliwa et al

01-29-2020

Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding
by Zhecheng Wang et al

01-29-2020

Hamiltonian Neural Networks for solving differential equations
by Marios Mattheakis et al

01-30-2020

A Rigorous Framework for the Mean Field Limit of Multilayer Neural Networks
by Phan-Minh Nguyen et al

01-29-2020

Multi-Marginal Optimal Transport Defines a Generalized Metric
by Liang Mi et al

01-28-2020

Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task Learning
by Firas Kassawat et al

01-28-2020

Tri-graph Information Propagation for Polypharmacy Side Effect Prediction
by Hao Xu et al

01-29-2020

The Tensor Brain: Semantic Decoding for Perception and Memory
by Volker Tresp et al

01-28-2020

Identifying Mislabeled Data using the Area Under the Margin Ranking
by Geoff Pleiss et al

01-29-2020

Unsupervised Anomaly Detection for X-Ray Images
by Diana Davletshina et al

01-30-2020

Image Embedded Segmentation: Combining Supervised and Unsupervised Objectives through Generative Adversarial Networks
by C. T. Sari et al

01-30-2020

Finite-time Analysis of Kullback-Leibler Upper Confidence Bounds for Optimal Adaptive Allocation with Multiple Plays and Markovian Rewards
by Vrettos Moulos

01-28-2020

Online LiDAR-SLAM for Legged Robots with Robust Registration and Deep-Learned Loop Closure
by Milad Ramezani et al

01-28-2020

Modelling and Quantifying Membership Information Leakage in Machine Learning
by Farhad Farokhi et al

01-28-2020

Binary Classification from Positive Data with Skewed Confidence
by Kazuhiko Shinoda et al

01-29-2020

Semantic Adversarial Perturbations using Learnt Representations
by Isaac Dunn et al

01-30-2020

Transport Gaussian Processes for Regression
by Gonzalo Rios

01-29-2020

Compact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms
by Gianmarco Cerutti et al

01-28-2020

Privacy-Preserving Gaussian Process Regression -- A Modular Approach to the Application of Homomorphic Encryption
by Peter Fenner et al

01-30-2020

Scalable Psychological Momentum Forecasting in Esports
by Alfonso White et al

01-30-2020

A Study of Fitness Landscapes for Neuroevolution
by Nuno M. Rodrigues et al

01-28-2020

Fast quantum learning with statistical guarantees
by Carlo Ciliberto et al

01-28-2020

Parameter Sharing in Coagent Networks
by Modjtaba Shokrian Zini

01-28-2020

The Indian Chefs Process
by Patrick Dallaire et al

01-28-2020

Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance
by Farhad Farokhi

01-30-2020

TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions
by Benjamin Regler et al

01-28-2020

Treatment effect estimation with disentangled latent factors
by Weijia Zhang et al

01-29-2020

Data integration and prediction models of photovoltaic production from Brazilian northeastern
by Hugo Abreu Mendes et al

01-28-2020

Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image
by Muhammad Shahzad et al

01-30-2020

Fase-AL -- Adaptation of Fast Adaptive Stacking of Ensembles for Supporting Active Learning
by Agustín Alejandro Ortiz-Díaz et al

01-28-2020

Margin Maximization as Lossless Maximal Compression
by Nikolaos Nikolaou et al

01-30-2020

An Implicit Attention Mechanism for Deep Learning Pedestrian Re-identification Frameworks
by Ehsan Yaghoubi et al

01-30-2020

Sound field reconstruction in rooms: inpainting meets superresolution
by Francesc Lluís et al

01-30-2020

Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering Tasks
by Lena Schmidt et al

01-28-2020

Update Aware Device Scheduling for Federated Learning at the Wireless Edge
by Mohammad Mohammadi Amiri et al

01-28-2020

Learning to Catch Piglets in Flight
by Ozan Çatal et al

01-30-2020

Adversarial Training for Aspect-Based Sentiment Analysis with BERT
by Akbar Karimi et al

01-28-2020

NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
by Arber Zela et al

01-28-2020

Towards Learning Multi-agent Negotiations via Self-Play
by Yichuan Charlie Tang

01-29-2020

stream-learn -- open-source Python library for difficult data stream batch analysis
by Paweł Ksieniewicz et al

01-29-2020

On Constraint Definability in Tractable Probabilistic Models
by Ioannis Papantonis et al

01-29-2020

Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar
by Dan Barnes et al

01-28-2020

Controlling generative models with continuous factors of variations
by Antoine Plumerault et al

01-28-2020

Landmark2Vec: An Unsupervised Neural Network-Based Landmark Positioning Method
by Alireza Razavi

01-29-2020

A Graph-Based Approach for Active Learning in Regression
by Hongjing Zhang et al

01-30-2020

NAViDAd: A No-Reference Audio-Visual Quality Metric Based on a Deep Autoencoder
by Helard Martinez et al

01-30-2020

Optimized Feature Space Learning for Generating Efficient Binary Codes for Image Retrieval
by Abin Jose et al

01-30-2020

Graph Convolution Machine for Context-aware Recommender System
by Jiancan Wu et al

01-30-2020

Analysing Affective Behavior in the First ABAW 2020 Competition
by Dimitrios Kollias et al

01-29-2020

Safe Predictors for Enforcing Input-Output Specifications
by Stephen Mell et al

01-28-2020

Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging
by Mamatha Thota et al

01-30-2020

Better Multi-class Probability Estimates for Small Data Sets
by Tuomo Alasalmi et al

01-29-2020

Deep Channel Learning For Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems
by Ahmet M. Elbir et al

01-28-2020

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles
by Xiaowei Jia et al

01-28-2020

Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems
by Feiyang Cai et al

01-28-2020

OPFython: A Python-Inspired Optimum-Path Forest Classifier
by Gustavo Henrique de Rosa et al

01-30-2020

HAMLET -- A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection
by Mischa Schmidt et al

01-28-2020

IoT Behavioral Monitoring via Network Traffic Analysis
by Arunan Sivanathan

01-28-2020

PulseSatellite: A tool using human-AI feedback loops for satellite image analysis in humanitarian contexts
by Tomaz Logar et al

01-28-2020

CLCNet: Deep learning-based Noise Reduction for Hearing Aids using Complex Linear Coding
by Hendrik Schröter et al

01-29-2020

Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning
by Ming Yin et al

01-29-2020

Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks
by Mingyuan Meng et al

01-29-2020

GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
by Shangtong Zhang et al

01-29-2020

On Learning Vehicle Detection in Satellite Video
by Roman Pflugfelder et al

01-29-2020

MEMO: A Deep Network for Flexible Combination of Episodic Memories
by Andrea Banino et al

01-29-2020

Constructing Deep Neural Networks with a Priori Knowledge of Wireless Tasks
by Jia Guo et al

01-29-2020

FOCUS: Dealing with Label Quality Disparity in Federated Learning
by Yiqiang Chen et al

01-28-2020

An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML
by Benjamin Patrick Evans et al

01-30-2020

Which way? Direction-Aware Attributed Graph Embedding
by Zekarias T. Kefato et al

01-30-2020

How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction
by Se-eun Yoon et al

01-30-2020

BUT Opensat 2019 Speech Recognition System
by Martin Karafiát et al

01-29-2020

REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
by Rahul Duggal et al

01-30-2020

Black-Box Saliency Map Generation Using Bayesian Optimisation
by Mamuku Mokuwe et al

01-29-2020

Kernel Selection for Modal Linear Regression: Optimal Kernel and IRLS Algorithm
by Ryoya Yamasaki et al

01-30-2020

Continuous speech separation: dataset and analysis
by Zhuo Chen et al

01-29-2020

The Case for Bayesian Deep Learning
by Andrew Gordon Wilson

01-28-2020

Dont Feed the Troll: Detecting Troll Behavior via Inverse Reinforcement Learning
by Luca Luceri et al

01-28-2020

Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study and Cross Validation
by Xiaoli Liu et al

01-30-2020

The Direction-Aware, Learnable, Additive Kernels and the Adversarial Network for Deep Floor Plan Recognition
by Yuli Zhang et al

01-29-2020

Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks
by Souvik Kundu et al

01-28-2020

Fast Graph Metric Learning via Gershgorin Disc Alignment
by Cheng Yang et al

01-29-2020

Going beyond accuracy: estimating homophily in social networks using predictions
by George Berry et al

01-29-2020

Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform
by Jongmin Yu et al

01-30-2020

A Hybrid Two-layer Feature Selection Method Using GeneticAlgorithm and Elastic Net
by Fatemeh Amini et al

01-28-2020

Fast Rates for Online Prediction with Abstention
by Gergely Neu et al

01-28-2020

Bandit optimisation of functions in the Mat\ern kernel RKHS
by David Janz et al

01-28-2020

Graph Neighborhood Attentive Pooling
by Zekarias T. Kefato et al

01-29-2020

Extreme Algorithm Selection With Dyadic Feature Representation
by Alexander Tornede et al

01-28-2020

The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability
by Mehdi Ali et al

01-29-2020

Examining the Benefits of Capsule Neural Networks
by Arjun Punjabi et al

01-28-2020

Causal query in observational data with hidden variables
by Debo Cheng et al

01-28-2020

Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information
by Amar Budhiraja et al

01-28-2020

RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design
by Xiao Liu et al

01-28-2020

CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning
by Bonifaz Stuhr et al

01-30-2020

NCVis: Noise Contrastive Approach for Scalable Visualization
by Aleksandr Artemenkov et al

01-29-2020

Convergence Guarantees for Gaussian Process Approximations Under Several Observation Models
by George Wynne et al

01-30-2020

Harnessing Code Switching to Transcend the Linguistic Barrier
by Ashiqur R. KhudaBukhsh et al

01-30-2020

Non-Determinism in TensorFlow ResNets
by Miguel Morin et al

01-30-2020

Uncovering life-course patterns with causal discovery and survival analysis
by Bojan Kostic et al

01-29-2020

Adversarial Incremental Learning
by Ankur Singh

01-29-2020

Multi-Participant Multi-Class Vertical Federated Learning
by Siwei Feng et al

01-29-2020

AVATAR -- Machine Learning Pipeline Evaluation Using Surrogate Model
by Tien-Dung Nguyen et al

01-29-2020

Variational Autoencoders for Opponent Modeling in Multi-Agent Systems
by Georgios Papoudakis et al

01-28-2020

Faster Activity and Data Detection in Massive Random Access: A Multi-armed Bandit Approach
by Jialin Dong et al

01-29-2020

Improving Language Identification for Multilingual Speakers
by Andrew Titus et al

01-30-2020

Towards a Kernel based Physical Interpretation of Model Uncertainty
by Rishabh Singh et al

01-29-2020

ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs
by Zuohui Fu et al

01-29-2020

Learning Robust and Multilingual Speech Representations
by Kazuya Kawakami et al

01-29-2020

Audio-Visual Decision Fusion for WFST-based and seq2seq Models
by Rohith Aralikatti et al

01-30-2020

Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles
by Szilárd Aradi

01-29-2020

Bayesian Neural Architecture Search using A Training-Free Performance Metric
by Andrés Camero et al

01-29-2020

A scale-dependent notion of effective dimension
by Oksana Berezniuk et al

01-29-2020

An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions
by Samuele Tosatto et al

01-28-2020

Data-driven control of micro-climate in buildings; an event-triggered reinforcement learning approach
by Ashkan Haji Hosseinloo et al

01-30-2020

A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error
by S. Tabik et al

01-28-2020

MSE-Optimal Neural Network Initialization via Layer Fusion
by Ramina Ghods et al

01-29-2020

A4 : Evading Learning-based Adblockers
by Shitong Zhu et al

01-29-2020

Functional Sequential Treatment Allocation with Covariates
by Anders Bredahl Kock et al

01-29-2020

Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain
by Yigit Alparslan et al

01-28-2020

Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform
by Tomohiko Nakamura et al

01-30-2020

Learning Discrete Distributions by Dequantization
by Emiel Hoogeboom et al

01-28-2020

Reservoir computing model of two-dimensional turbulent convection
by Sandeep Pandey et al

01-28-2020

Real-time calibration of coherent-state receivers: learning by trial and error
by M. Bilkis et al

01-28-2020

Distal Explanations for Explainable Reinforcement Learning Agents
by Prashan Madumal et al

01-30-2020

Improving the Robustness of Graphs through Reinforcement Learning and Graph Neural Networks
by Victor-Alexandru Darvariu et al

01-28-2020

Residual Tangent Kernels
by Etai Littwin et al

01-28-2020

A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control
by Jia-Jie Zhu et al

01-28-2020

QActor: On-line Active Learning for Noisy Labeled Stream Data
by Taraneh Younesian et al

 
Craig Smith