2020.5.11 Learning papers

 

05-05-2020

Using Machine Learning to Emulate Agent-Based Simulations
by Claudio Angione et al

05-06-2020

ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context
by Wei Han et al

05-06-2020

Machine Learning and Deep Learning methods for predictive modelling from Raman spectra in bioprocessing
by Semion Rozov

05-06-2020

Fractional ridge regression: a fast, interpretable reparameterization of ridge regression
by Ariel Rokem et al

05-07-2020

Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel Data
by Seung-won Park et al

05-05-2020

Long short-term memory networks and laglasso for bond yield forecasting: Peeping inside the black box
by Manuel Nunes et al

05-06-2020

CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image
by Tahereh Javaheri et al

05-07-2020

CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion
by Ying-Sheng Luo et al

05-05-2020

ESG2Risk: A Deep Learning Framework from ESG News to Stock Volatility Prediction
by Tian Guo et al

05-06-2020

CONFIG: Controllable Neural Face Image Generation
by Marek Kowalski et al

05-06-2020

Fact-based Dialogue Generation with Convergent and Divergent Decoding
by Ryota Tanaka et al

05-05-2020

Differential Machine Learning
by Brian Huge et al

05-06-2020

Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning
by Hengyuan Kang et al

05-05-2020

Active Preference-Based Gaussian Process Regression for Reward Learning
by Erdem Bıyık et al

05-06-2020

Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinsons Disease Classification of Gait Patterns
by Anirudh Som et al

05-07-2020

Visualisation and knowledge discovery from interpretable models
by Sreejita Ghosh et al

05-07-2020

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT
by Liang Sun et al

05-07-2020

Plan2Vec: Unsupervised Representation Learning by Latent Plans
by Ge Yang et al

05-05-2020

Collective Loss Function for Positive and Unlabeled Learning
by Chenhao Xie et al

05-06-2020

Hierarchical Predictive Coding Models in a Deep-Learning Framework
by Matin Hosseini et al

05-06-2020

Multi-Target Deep Learning for Algal Detection and Classification
by Peisheng Qian et al

05-06-2020

Subdomain Adaptation with Manifolds Discrepancy Alignment
by Pengfei Wei et al

05-06-2020

GraCIAS: Grassmannian of Corrupted Images for Adversarial Security
by Ankita Shukla et al

05-06-2020

Local Search is State of the Art for NAS Benchmarks
by Colin White et al

05-06-2020

Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents
by Asir Saeed et al

05-06-2020

Deeply Supervised Active Learning for Finger Bones Segmentation
by Ziyuan Zhao et al

05-05-2020

Multi-task pre-training of deep neural networks for digital pathology
by Romain Mormont et al

05-05-2020

Temporal Event Segmentation using Attention-based Perceptual Prediction Model for Continual Learning
by Ramy Mounir et al

05-07-2020

Efficient Exact Verification of Binarized Neural Networks
by Kai Jia et al

05-07-2020

Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans
by Ivan Drokin et al

05-06-2020

Towards Frequency-Based Explanation for Robust CNN
by Zifan Wang et al

05-06-2020

Towards quantum advantage for topological data analysis
by Casper Gyurik et al

05-07-2020

DMCP: Differentiable Markov Channel Pruning for Neural Networks
by Shaopeng Guo et al

05-08-2020

OpenEDS2020: Open Eyes Dataset
by Cristina Palmero et al

05-07-2020

Noisy Differentiable Architecture Search
by Xiangxiang Chu et al

05-07-2020

Kunster -- AR Art Video Maker -- Real time video neural style transfer on mobile devices
by Wojciech Dudzik et al

05-06-2020

Review of text style transfer based on deep learning
by Xiangyang Li et al

05-07-2020

Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan
by Xiaofeng Zhu et al

05-07-2020

Learning Implicit Text Generation via Feature Matching
by Inkit Padhi et al

05-06-2020

Deep Divergence Learning
by Kubra Cilingir et al

05-07-2020

Seismic Shot Gather Noise Localization Using a Multi-Scale Feature-Fusion-Based Neural Network
by Antonio José G. Busson et al

05-05-2020

Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases
by Henrique Lemos et al

05-06-2020

Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs
by Catherine Ordun et al

05-05-2020

Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery
by Hiroshi Sasaki et al

05-05-2020

Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder
by Guanlin Li et al

05-05-2020

Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer
by Chulun Zhou et al

05-05-2020

Explainable AI for Classification using Probabilistic Logic Inference
by Xiuyi Fan et al

05-05-2020

Adaptive Invariance for Molecule Property Prediction
by Wengong Jin et al

05-08-2020

Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding
by Rishi Sonthalia et al

05-06-2020

Active Learning with Multiple Kernels
by Songnam Hong et al

05-06-2020

Determinantal Point Processes in Randomized Numerical Linear Algebra
by Michał Dereziński et al

05-07-2020

MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis
by Devamanyu Hazarika et al

05-06-2020

Joint Multi-Dimensional Model for Global and Time-Series Annotations
by Anil Ramakrishna et al

05-07-2020

Lifted Regression/Reconstruction Networks
by Rasmus Kjær Høier et al

05-06-2020

Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction
by Toshiaki Koike-Akino et al

05-06-2020

Safe Reinforcement Learning through Meta-learned Instincts
by Djordje Grbic et al

05-07-2020

Learning Robust Models for e-Commerce Product Search
by Thanh V. Nguyen et al

05-06-2020

DenoiSeg: Joint Denoising and Segmentation
by Tim-Oliver Buchholz et al

05-06-2020

Learning, transferring, and recommending performance knowledge with Monte Carlo tree search and neural networks
by Don M. Dini

05-05-2020

NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
by Dario Fuoli et al

05-05-2020

Cross-media Structured Common Space for Multimedia Event Extraction
by Manling Li et al

05-06-2020

Deep Recurrent Disease Progression Model for Conversion-Time Prediction of Alzheimers Disease
by Wonsik Jung et al

05-05-2020

On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors
by Adriano Lucieri et al

05-06-2020

Fair Algorithms for Hierarchical Agglomerative Clustering
by Anshuman Chhabra et al

05-07-2020

Efficient Reconstruction of Stochastic Pedigrees
by Younhun Kim et al

05-07-2020

ProSelfLC: Progressive Self Label Correction for Target Revising in Label Noise
by Xinshao Wang et al

05-07-2020

An Empirical Study of Incremental Learning in Neural Network with Noisy Training Set
by Shovik Ganguly et al

05-08-2020

Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization
by Xiaotao Jia et al

05-05-2020

Dont Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition
by Mahsan Nourani et al

05-07-2020

Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images
by Kelei He et al

05-05-2020

Global explanations for discovering bias in data
by Agnieszka Mikołajczyk et al

05-07-2020

A Locally Adaptive Interpretable Regression
by Lkhagvadorj Munkhdalai et al

05-06-2020

ProbaNet: Proposal-balanced Network for Object Detection
by Xiang Zhang et al

05-06-2020

Learning Architectures from an Extended Search Space for Language Modeling
by Yinqiao Li et al

05-07-2020

Planning from Images with Deep Latent Gaussian Process Dynamics
by Nathanael Bosch et al

05-08-2020

Is an Affine Constraint Needed for Affine Subspace Clustering?
by Chong You et al

05-06-2020

Modeling nanoconfinement effects using active learning
by Javier E. Santos et al

05-07-2020

Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations
by John McManigle et al

05-07-2020

Reducing Communication in Graph Neural Network Training
by Alok Tripathy et al

05-05-2020

Contextualizing Hate Speech Classifiers with Post-hoc Explanation
by Brendan Kennedy et al

05-06-2020

UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving
by Hao He et al

05-07-2020

Training and Classification using a Restricted Boltzmann Machine on the D-Wave 2000Q
by Vivek Dixit et al

05-07-2020

Reinforcement Learning with Feedback Graphs
by Christoph Dann et al

05-08-2020

Data-Free Network Quantization With Adversarial Knowledge Distillation
by Yoojin Choi et al

05-07-2020

Multi-Label Sampling based on Local Label Imbalance
by Bin Liu et al

05-08-2020

Sequential Gallery for Interactive Visual Design Optimization
by Yuki Koyama et al

05-07-2020

Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms
by Tengyu Xu et al

05-07-2020

Evaluating the phase dynamics of coupled oscillators via time-variant topological features
by Kazuha Itabashi et al

05-07-2020

Blind Backdoors in Deep Learning Models
by Eugene Bagdasaryan et al

05-05-2020

Proper measure for adversarial robustness
by Hyeongji Kim et al

05-06-2020

Unsupervised Neural Aspect Search with Related Terms Extraction
by Timur Sokhin et al

05-05-2020

Differentiable Greedy Submodular Maximization with Guarantees and Gradient Estimators
by Shinsaku Sakaue

05-07-2020

Federated Generative Adversarial Learning
by Chenyou Fan et al

05-05-2020

Adversarial Training against Location-Optimized Adversarial Patches
by Sukrut Rao et al

05-06-2020

On the Learnability of Possibilistic Theories
by Cosimo Persia et al

05-05-2020

Deep learning of physical laws from scarce data
by Zhao Chen et al

05-06-2020

PeTra: A Sparsely Supervised Memory Model for People Tracking
by Shubham Toshniwal et al

05-05-2020

Adaptive Low-Rank Factorization to regularize shallow and deep neural networks
by Mohammad Mahdi Bejani et al

05-08-2020

An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification
by Vajira Thambawita et al

05-06-2020

Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications
by Imme Ebert-Uphoff et al

05-07-2020

Generative Feature Replay with Orthogonal Weight Modification for Continual Learning
by Gehui Shen et al

05-05-2020

Classification-Based Anomaly Detection for General Data
by Liron Bergman et al

05-05-2020

EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions
by Yuhong Li et al

05-05-2020

AutoScale: Optimizing Energy Efficiency of End-to-End Edge Inference under Stochastic Variance
by Young Geun Kim et al

05-07-2020

MLGaze: Machine Learning-Based Analysis of Gaze Error Patterns in Consumer Eye Tracking Systems
by Anuradha Kar

05-07-2020

Curious Hierarchical Actor-Critic Reinforcement Learning
by Frank Röder et al

05-08-2020

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation
by Shuchao Pang et al

05-08-2020

Geometric graphs from data to aid classification tasks with graph convolutional networks
by Yifan Qian et al

05-06-2020

Model Reduction and Neural Networks for Parametric PDEs
by Kaushik Bhattacharya et al

05-07-2020

Variance Constrained Autoencoding
by D. T. Braithwaite et al

05-05-2020

Deep Lagrangian Constraint-based Propagation in Graph Neural Networks
by Matteo Tiezzi et al

05-08-2020

Sparsely-Labeled Source Assisted Domain Adaptation
by Wei Wang et al

05-08-2020

Beyond Accuracy: Behavioral Testing of NLP models with CheckList
by Marco Tulio Ribeiro et al

05-06-2020

AVAC: A Machine Learning based Adaptive RRAM Variability-Aware Controller for Edge Devices
by Shikhar Tuli et al

05-08-2020

Sentiment Analysis Using Simplified Long Short-term Memory Recurrent Neural Networks
by Karthik Gopalakrishnan et al

05-06-2020

Training robust neural networks using Lipschitz bounds
by Patricia Pauli et al

05-06-2020

Testing the Robustness of AutoML Systems
by Tuomas Halvari et al

05-06-2020

Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization
by Pierre-Alexandre Kamienny et al

05-07-2020

SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation
by Yang Zhao et al

05-08-2020

Introduction of a new Dataset and Method for Detecting and Counting the Pistachios based on Deep Learning
by Mohammad Rahimzadeh et al

05-05-2020

Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
by Zhishuai Guo et al

05-07-2020

Playing Minecraft with Behavioural Cloning
by Anssi Kanervisto et al

05-05-2020

Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning
by Shixiang Chen et al

05-07-2020

Comparative Analysis of Word Embeddings for Capturing Word Similarities
by Martina Toshevska et al

05-08-2020

Project and Forget: Solving Large-Scale Metric Constrained Problems
by Rishi Sonthalia et al

05-07-2020

A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition
by Steven I Reeves et al

05-06-2020

Token Manipulation Generative Adversarial Network for Text Generation
by DaeJin Jo

05-08-2020

Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images
by Mehmet Yamac et al

05-07-2020

GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference
by Ali Hadi Zadeh et al

05-05-2020

When Machine Unlearning Jeopardizes Privacy
by Min Chen et al

05-05-2020

Demand-Side Scheduling Based on Deep Actor-Critic Learning for Smart Grids
by Joash Lee et al

05-05-2020

Effect of The Latent Structure on Clustering with GANs
by Deepak Mishra et al

05-06-2020

Ensuring Fairness under Prior Probability Shifts
by Arpita Biswas et al

05-06-2020

Geoopt: Riemannian Optimization in PyTorch
by Max Kochurov et al

05-07-2020

Machine Learning on Graphs: A Model and Comprehensive Taxonomy
by Ines Chami et al

05-06-2020

Evolutionary Multi-Objective Design of SARS-CoV-2 Protease Inhibitor Candidates
by Tim Cofala et al

05-07-2020

Learned Multi-layer Residual Sparsifying Transform Model for Low-dose CT Reconstruction
by Xikai Yang et al

05-05-2020

Predicting atmospheric optical properties for radiative transfer computations using neural networks
by Menno A. Veerman et al

05-05-2020

Learning programs by learning from failures
by Andrew Cropper et al

05-05-2020

P2ExNet: Patch-based Prototype Explanation Network
by Dominique Mercier et al

05-05-2020

Stealing Links from Graph Neural Networks
by Xinlei He et al

05-05-2020

Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data
by Alessandro Salatiello et al

05-07-2020

Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation
by Reinhard Heckel et al

05-05-2020

MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models
by Mandy Guo et al

05-06-2020

Approaches and Applications of Early Classification of Time Series: A Review
by Ashish Gupta et al

05-05-2020

Sub-Image Anomaly Detection with Deep Pyramid Correspondences
by Niv Cohen et al

05-07-2020

Minority Class Oversampling for Tabular Data with Deep Generative Models
by Ramiro Camino et al

05-05-2020

Interpretable Learning-to-Rank with Generalized Additive Models
by Honglei Zhuang et al

05-08-2020

Sherpa: Robust Hyperparameter Optimization for Machine Learning
by Lars Hertel et al

05-05-2020

A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data
by Vineet K Raghu et al

05-05-2020

AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes
by Jiancheng Yang et al

05-08-2020

Active Preference Learning using Maximum Regret
by Nils Wilde et al

05-08-2020

Defending Model Inversion and Membership Inference Attacks via Prediction Purification
by Ziqi Yang et al

05-07-2020

Quantum correlation alignment for unsupervised domain adaptation
by Xi He

05-08-2020

Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images
by Rasoul Sali et al

05-05-2020

Stolen Probability: A Structural Weakness of Neural Language Models
by David Demeter et al

05-05-2020

One-step regression and classification with crosspoint resistive memory arrays
by Zhong Sun et al

05-05-2020

Discrete-to-Deep Supervised Policy Learning
by Budi Kurniawan et al

05-07-2020

Mapping Natural Language Instructions to Mobile UI Action Sequences
by Yang Li et al

05-06-2020

Mathematical foundations of stable RKHSs
by Mauro Bisiacco et al

05-08-2020

Multi-Task Network for Noise-Robust Keyword Spotting and Speaker Verification using CTC-based Soft VAD and Global Query Attention
by Myunghun Jung et al

05-06-2020

A Communication-Efficient Distributed Algorithm for Kernel Principal Component Analysis
by Fan He et al

05-08-2020

Automatic Cross-Domain Transfer Learning for Linear Regression
by Liu Xinshun et al

05-07-2020

Nonparametric Estimation of the Fisher Information and Its Applications
by Wei Cao et al

05-06-2020

Regularized Pooling
by Takato Otsuzuki et al

05-05-2020

Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning
by Semih Yagli et al

05-06-2020

TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
by Feng Yu et al

05-07-2020

Predictive Modeling of ICU Healthcare-Associated Infections from Imbalanced Data. Using Ensembles and a Clustering-Based Undersampling Approach
by Fernando Sánchez-Hernández et al

05-07-2020

The Strong Screening Rule for SLOPE
by Johan Larsson et al

05-06-2020

Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders
by Muhammad Ammar Malik et al

05-07-2020

Distributional Robustness of K-class Estimators and the PULSE
by Martin Emil Jakobsen et al

05-06-2020

MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation
by Sanjay Kariyappa et al

05-07-2020

AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing
by Jorge Peña Queralta et al

05-06-2020

Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type
by Saswata Sahoo et al

05-06-2020

Maximum Likelihood Methods for Inverse Learning of Optimal Controllers
by Marcel Menner et al

05-08-2020

A Study of Neural Training with Non-Gradient and Noise Assisted Gradient Methods
by Anirbit Mukherjee et al

05-08-2020

A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Birds Eye View
by Lennart Reiher et al

05-05-2020

Heuristic-Based Weak Learning for Moral Decision-Making
by Ryan Steed

05-05-2020

Clustering for Graph Datasets via Gumbel Softmax
by Deepak Bhaskar Acharya et al

05-06-2020

DTR Bandit: Learning to Make Response-Adaptive Decisions With Low Regret
by Yichun Hu et al

05-05-2020

Interpreting Deep Models through the Lens of Data
by Dominique Mercier et al

05-05-2020

Generalized Planning With Deep Reinforcement Learning
by Or Rivlin et al

05-08-2020

Amortized Bayesian Inference for Models of Cognition
by Stefan T. Radev et al

05-07-2020

Relevance Vector Machine with Weakly Informative Hyperprior and Extended Predictive Information Criterion
by Kazuaki. Murayama et al

05-06-2020

A Comprehensive Survey on Outlying Aspect Mining Methods
by Durgesh Samariya et al

05-08-2020

Adversarial Graph Embeddings for Fair Influence Maximization over SocialNetworks
by Moein Khajehnejad et al

05-07-2020

Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks
by Khemraj Shukla et al

05-08-2020

Lossy Compression with Distortion Constrained Optimization
by Ties van Rozendaal et al

05-08-2020

On Training and Evaluation of Neural Network Approaches for Model Predictive Control
by Rebecka Winqvist et al

05-07-2020

Domain Adaptation in Highly Imbalanced and Overlapping Datasets
by Ran Ilan Ber et al

05-07-2020

Bundle Recommendation with Graph Convolutional Networks
by Jianxin Chang et al

05-05-2020

A Framework for Designing and Evaluating Solar Flare Forecasting Systems
by T. Cinto et al

05-05-2020

Event Cartography: Latent Point Process Embeddings
by Myrl G. Marmarelis et al

05-07-2020

Local Cascade Ensemble for Multivariate Data Classification
by Kevin Fauvel et al

05-07-2020

Mutli-task Learning with Alignment Loss for Far-field Small-Footprint Keyword Spotting
by Haiwei Wu et al

05-07-2020

Hypergraph Learning for Identification of COVID-19 with CT Imaging
by Donglin Di et al

05-05-2020

Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models
by Jayaraman J. Thiagarajan et al

05-08-2020

Predicting gene expression from network topology using graph neural networks
by Ramin Hasibi et al

05-05-2020

Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural Architectures
by Zein Shaheen et al

05-07-2020

Inference, Prediction, and Entropy-Rate Estimation of Continuous-time, Discrete-event Processes
by S. E. Marzen et al

05-08-2020

In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction
by Caroline Wang et al

05-07-2020

Lower bounds in multiple testing: A framework based on derandomized proxies
by Max Rabinovich et al

05-06-2020

Preprint: Using RF-DNA Fingerprints To Classify OFDM Transmitters Under Rayleigh Fading Conditions
by Mohamed Fadul et al

05-07-2020

On a computationally-scalable sparse formulation of the multidimensional and non-stationary maximum entropy principle
by Horenko Illia et al

05-08-2020

The critical locus of overparameterized neural networks
by Y. Cooper

05-06-2020

Insider Threat Detection Based on Stress Recognition Using Keystroke Dynamics
by Azamat Sultanov et al

05-08-2020

Spectral Ranking with Covariates
by Siu Lun Chau et al

05-08-2020

Compressing Large Sample Data for Discriminant Analysis
by Alexander F. Lapanowski et al

05-07-2020

Crop Aggregating for short utterances speaker verification using raw waveforms
by Seung-bin Kim et al

05-06-2020

Efficient Characterization of Dynamic Response Variation Using Multi-Fidelity Data Fusion through Composite Neural Network
by Kai Zhou et al

05-07-2020

Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques
by Moajjem Hossain Chowdhury et al

05-06-2020

A Survey of Algorithms for Black-Box Safety Validation
by Anthony Corso et al

05-08-2020

Modeling Document Interactions for Learning to Rank with Regularized Self-Attention
by Shuo Sun et al

05-08-2020

Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma
by Kaixin Xu et al

05-07-2020

COBRA: Contrastive Bi-Modal Representation Algorithm
by Vishaal Udandarao et al

05-05-2020

Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes
by Qiang Yu et al

05-06-2020

Brain-like approaches to unsupervised learning of hidden representations -- a comparative study
by Naresh Balaji Ravichandran et al

05-05-2020

Reproduction of Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection
by Filip Marcinek

05-06-2020

Anonymized GCN: A Novel Robust Graph Embedding Method via Hiding Node Position in Noise
by Ao Liu

05-08-2020

The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration
by Nanwei Wang et al

05-07-2020

A Gradient-Aware Search Algorithm for Constrained Markov Decision Processes
by Sami Khairy et al

05-05-2020

Online Convex Optimization with Binary Constraints
by Antoine Lesage-Landry et al

05-05-2020

SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models
by Lev V. Utkin et al

05-05-2020

Application-oriented mathematical algorithms for group testing
by Endre Csóka

05-05-2020

Towards On-Chip Bayesian Neuromorphic Learning
by Nathan Wycoff et al

05-05-2020

A Ladder of Causal Distances
by Maxime Peyrard et al

05-05-2020

Automatic Tracking of the Muscle Tendon Junction in Healthy and Impaired Subjects using Deep Learning
by Christoph Leitner et al

05-05-2020

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Craig Smith