2020.5.18 Learning papers

 

05-12-2020

Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
by Rafael Valle et al

05-13-2020

Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
by Masanobu Horie et al

05-13-2020

The Unstoppable Rise of Computational Linguistics in Deep Learning
by James Henderson

05-14-2020

Bayesian Bits: Unifying Quantization and Pruning
by Mart van Baalen et al

05-14-2020

S2IGAN: Speech-to-Image Generation via Adversarial Learning
by Xinsheng Wang et al

05-13-2020

Implicit Regularization in Deep Learning May Not Be Explainable by Norms
by Noam Razin et al

05-14-2020

Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning
by Pieter Delobelle et al

05-12-2020

MOReL : Model-Based Offline Reinforcement Learning
by Rahul Kidambi et al

05-14-2020

Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
by Michael W. Dusenberry et al

05-13-2020

Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions
by Xiaochuang Han et al

05-14-2020

India nudges to contain COVID-19 pandemic: a reactive public policy analysis using machine-learning based topic modelling
by Ramit Debnath et al

05-12-2020

Deep Learning Techniques for Inverse Problems in Imaging
by Gregory Ongie et al

05-14-2020

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
by Kimin Lee et al

05-14-2020

You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation
by Aleksandr Laptev et al

05-13-2020

DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
by Yaxin Li et al

05-12-2020

Planning to Explore via Self-Supervised World Models
by Ramanan Sekar et al

05-13-2020

Entity-Enriched Neural Models for Clinical Question Answering
by Bhanu Pratap Singh Rawat et al

05-13-2020

Explainable Reinforcement Learning: A Survey
by Erika Puiutta et al

05-13-2020

Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data
by Mohi Khansari et al

05-13-2020

Multi-modal Embedding Fusion-based Recommender
by Anna Wroblewska et al

05-15-2020

Learning Rate Annealing Can Provably Help Generalization, Even for Convex Problems
by Preetum Nakkiran

05-14-2020

On Learned Operator Correction
by Sebastian Lunz et al

05-14-2020

Estimating predictive uncertainty for rumour verification models
by Elena Kochkina et al

05-13-2020

Detector-SegMentor Network for Skin Lesion Localization and Segmentation
by Shreshth Saini et al

05-13-2020

A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract)
by Artuur Leeuwenberg et al

05-14-2020

Time Series to Images: Monitoring the Condition of Industrial Assets with Deep Learning Image Processing Algorithms
by Gabriel Rodriguez Garcia et al

05-13-2020

W-Cell-Net: Multi-frame Interpolation of Cellular Microscopy Videos
by Rohit Saha et al

05-14-2020

Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning
by Angeliki Lazaridou et al

05-14-2020

ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network
by David Gschwend

05-13-2020

Coordinates-based Resource Allocation Through Supervised Machine Learning
by Sahar Imtiaz et al

05-13-2020

Noise Homogenization via Multi-Channel Wavelet Filtering for High-Fidelity Sample Generation in GANs
by Shaoning Zeng et al

05-14-2020

Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning
by Procheta Sen et al

05-13-2020

Deep Learning for Political Science
by Kakia Chatsiou et al

05-14-2020

Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation
by Amin Ullah et al

05-12-2020

Multi-Channel Transfer Learning of Chest X-ray Images for Screening of COVID-19
by Sampa Misra et al

05-14-2020

Data Augmentation for Deep Candlestick Learner
by Chia-Ying Tsao et al

05-13-2020

BIOMRC: A Dataset for Biomedical Machine Reading Comprehension
by Petros Stavropoulos et al

05-14-2020

Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition
by Tianhang Zheng et al

05-14-2020

Reinforced Coloring for End-to-End Instance Segmentation
by Tuan Tran Anh et al

05-14-2020

RegQCNET: Deep Quality Control for Image-to-template Brain MRI Registration
by Baudouin Denis de Senneville et al

05-13-2020

DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics
by Stephane Doncieux et al

05-13-2020

MLSolv-A: A Novel Machine Learning-Based Prediction of Solvation Free Energies from Pairwise Atomistic Interactions
by Hyuntae Lim et al

05-12-2020

Unpaired Motion Style Transfer from Video to Animation
by Kfir Aberman et al

05-15-2020

COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter
by Martin Müller et al

05-12-2020

Visual Analytics and Human Involvement in Machine Learning
by Salomon Eisler et al

05-12-2020

Invertible Image Rescaling
by Mingqing Xiao et al

05-13-2020

Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network
by Dario Kneubuehler et al

05-13-2020

How hard is graph isomorphism for graph neural networks?
by Andreas Loukas

05-13-2020

Mitigating Gender Bias Amplification in Distribution by Posterior Regularization
by Shengyu Jia et al

05-12-2020

Skeleton-Aware Networks for Deep Motion Retargeting
by Kfir Aberman et al

05-12-2020

Generalized State-Dependent Exploration for Deep Reinforcement Learning in Robotics
by Antonin Raffin et al

05-12-2020

Localized convolutional neural networks for geospatial wind forecasting
by Arnas Uselis et al

05-13-2020

Binarizing MobileNet via Evolution-based Searching
by Hai Phan et al

05-13-2020

Structured Query-Based Image Retrieval Using Scene Graphs
by Brigit Schroeder et al

05-13-2020

Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA
by Hyounghun Kim et al

05-15-2020

Simple Sensor Intentions for Exploration
by Tim Hertweck et al

05-15-2020

A Distributional View on Multi-Objective Policy Optimization
by Abbas Abdolmaleki et al

05-12-2020

High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks
by Seyed Amir Hossein Hosseini et al

05-12-2020

RetinotopicNet: An Iterative Attention Mechanism Using Local Descriptors with Global Context
by Thomas Kurbiel et al

05-13-2020

Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors
by Fahad Shamshad et al

05-14-2020

Distilling neural networks into skipgram-level decision lists
by Madhumita Sushil et al

05-12-2020

Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels
by Marvin Klingner et al

05-13-2020

Towards Interpretable Deep Learning Models for Knowledge Tracing
by Yu Lu et al

05-12-2020

One-Shot Recognition of Manufacturing Defects in Steel Surfaces
by Aditya M. Deshpande et al

05-12-2020

Neural Architecture Transfer
by Zhichao Lu et al

05-15-2020

Stopping criterion for active learning based on deterministic generalization bounds
by Hideaki Ishibashi et al

05-14-2020

Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks
by Chunjie Luo et al

05-15-2020

Accelerating drug repurposing for COVID-19 via modeling drug mechanism of action with large scale gene-expression profiles
by Lu Han et al

05-13-2020

Boosting on the shoulders of giants in quantum device calibration
by Alex Wozniakowski et al

05-13-2020

Progressive growing of self-organized hierarchical representations for exploration
by Mayalen Etcheverry et al

05-13-2020

DARTS-ASR: Differentiable Architecture Search for Multilingual Speech Recognition and Adaptation
by Yi-Chen Chen et al

05-14-2020

Manthan: A Data Driven Approach for Boolean Function Synthesis
by Priyanka Golia et al

05-12-2020

Machine Learning Guided Discovery of Gigantic Magnetocaloric Effect in HoB22 Near Hydrogen Liquefaction Temperature
by Pedro Baptista de Castro et al

05-15-2020

TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation
by Kelei He et al

05-13-2020

Tropical Data Science
by Ruriko Yoshida

05-15-2020

Predicting User Emotional Tone in Mental Disorder Online Communities
by Bárbara Silveira et al

05-12-2020

Adaptive Rule Discovery for Labeling Text Data
by Sainyam Galhotra et al

05-12-2020

Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization
by Selim F. Yilmaz et al

05-15-2020

Finding Experts in Transformer Models
by Xavier Suau et al

05-12-2020

Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning
by Han Cha et al

05-12-2020

Adversarial examples are useful too!
by Ali Borji

05-15-2020

Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error
by Miguel González-Duque et al

05-15-2020

ResMoNet: A Residual Mobile-based Network for Facial Emotion Recognition in Resource-Limited Systems
by Rodolfo Ferro-Pérez et al

05-13-2020

Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond
by Zhuosheng Zhang et al

05-15-2020

Efficiently Learning Adversarially Robust Halfspaces with Noise
by Omar Montasser et al

05-12-2020

Temporal Poisson Square Root Graphical Models
by Sinong Geng et al

05-15-2020

Recent Advances in SQL Query Generation: A Survey
by Jovan Kalajdjieski et al

05-13-2020

Robustly Learning any Clusterable Mixture of Gaussians
by Ilias Diakonikolas et al

05-15-2020

Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
by Lei Cai et al

05-13-2020

The effect of Target Normalization and Momentum on Dying ReLU
by Isac Arnekvist et al

05-15-2020

Adaptive Transformers for Learning Multimodal Representations
by Prajjwal Bhargava

05-12-2020

Dynamic Memory Induction Networks for Few-Shot Text Classification
by Ruiying Geng et al

05-13-2020

Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders
by Kristian Miok et al

05-13-2020

DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images
by Onur Tasar et al

05-15-2020

Convolutional neural networks for classification and regression analysis of one-dimensional spectral data
by Ine L. Jernelv et al

05-12-2020

Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations
by Ranggi Hwang et al

05-12-2020

Machine learning based digital twin for dynamical systems with multiple time-scales
by Souvik Chakraborty et al

05-13-2020

Activation functions are not needed: the ratio net
by Chi-Chun Zhou et al

05-13-2020

Overlapping Schwarz Decomposition for Nonlinear Optimal Control
by Sen Na et al

05-12-2020

Generalized Multi-view Shared Subspace Learning using View Bootstrapping
by Krishna Somandepalli et al

05-14-2020

Efficient and Stable Algorithms to Extend Grevilles Method to Partitioned Matrices Based on Inverse Cholesky Factorization
by Hufei Zhu

05-13-2020

Towards Hate Speech Detection at Large via Deep Generative Modeling
by Tomer Wullach et al

05-12-2020

Recurrent and Spiking Modeling of Sparse Surgical Kinematics
by Neil Getty et al

05-13-2020

Novelty Search makes Evolvability Inevitable
by Stephane Doncieux et al

05-12-2020

A Report on the 2020 Sarcasm Detection Shared Task
by Debanjan Ghosh et al

05-14-2020

Simulation-Based Inference for Global Health Decisions
by Christian Schroeder de Witt et al

05-12-2020

Very High Resolution Land Cover Mapping of Urban Areas at Global Scale with Convolutional Neural Networks
by Thomas Tilak et al

05-12-2020

A Secure Federated Learning Framework for 5G Networks
by Yi Liu et al

05-15-2020

Optimizing Neural Architecture Search using Limited GPU Time in a Dynamic Search Space: A Gene Expression Programming Approach
by Jeovane Honorio Alves et al

05-14-2020

Patient Similarity Analysis with Longitudinal Health Data
by Ahmed Allam et al

05-12-2020

Upper Bounds on the Generalization Error of Private Algorithms
by Borja Rodríguez-Gálvez et al

05-12-2020

COVID-19Base: A knowledgebase to explore biomedical entities related to COVID-19
by Junaed Younus Khan et al

05-13-2020

Towards segmentation and spatial alignment of the human embryonic brain using deep learning for atlas-based registration
by Wietske A. P. Bastiaansen et al

05-13-2020

Parallel Corpus Filtering via Pre-trained Language Models
by Boliang Zhang et al

05-13-2020

MixML: A Unified Analysis of Weakly Consistent Parallel Learning
by Yucheng Lu et al

05-13-2020

End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization
by Forrest Sheng Bao et al

05-12-2020

Simultaneous paraphrasing and translation by fine-tuning Transformer models
by Rakesh Chada

05-12-2020

Guaranteeing Reproducibility in Deep Learning Competitions
by Brandon Houghton et al

05-12-2020

Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves
by Tarek Elgamal et al

05-15-2020

Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning
by Thomas M. Moerland et al

05-12-2020

Estimating the Cheeger constant using machine learning
by Ambar Jain et al

05-14-2020

Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones?
by Nadezhda Chirkova et al

05-15-2020

Movement Pruning: Adaptive Sparsity by Fine-Tuning
by Victor Sanh et al

05-13-2020

Triaging moderate COVID-19 and other viral pneumonias from routine blood tests
by Forrest Sheng Bao et al

05-14-2020

Thompson Sampling for Combinatorial Semi-bandits with Sleeping Arms and Long-Term Fairness Constraints
by Zhiming Huang et al

05-15-2020

How to Make 5G Communications Invisible: Adversarial Machine Learning for Wireless Privacy
by Brian Kim et al

05-12-2020

Understanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study
by Yang Ren et al

05-14-2020

Variational Inference as Iterative Projection in a Bayesian Hilbert Space
by Timothy D. Barfoot et al

05-15-2020

Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics
by Donald Martin et al

05-12-2020

Agglomerative Neural Networks for Multi-view Clustering
by Zhe Liu et al

05-13-2020

The JuliaConnectoR: a functionally oriented interface for integrating Julia in R
by Stefan Lenz et al

05-12-2020

Modularizing Deep Learning via Pairwise Learning With Kernels
by Shiyu Duan et al

05-14-2020

Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning
by Haoyan Xu et al

05-12-2020

Automated Extraction of Socio-political Events from News (AESPEN): Workshop and Shared Task Report
by Ali Hürriyetoğlu et al

05-12-2020

Prta: A System to Support the Analysis of Propaganda Techniques in the News
by Giovanni Da San Martino et al

05-13-2020

Learning Composable Energy Surrogates for PDE Order Reduction
by Alex Beatson et al

05-14-2020

Prive-HD: Privacy-Preserved Hyperdimensional Computing
by Behnam Khaleghi et al

05-15-2020

Initializing Perturbations in Multiple Directions for Fast Adversarial Training
by Xunguang Wang et al

05-12-2020

That is a Known Lie: Detecting Previously Fact-Checked Claims
by Shaden Shaar et al

05-14-2020

OD-SGD: One-step Delay Stochastic Gradient Descent for Distributed Training
by Yemao Xu et al

05-14-2020

An Efficient Shared-memory Parallel Sinkhorn-Knopp Algorithm to Compute the Word Movers Distance
by Jesmin Jahan Tithi et al

05-14-2020

Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Discrete Labels and Continuous Textures of Chords
by Yiming Wu et al

05-13-2020

Deep Learning Convective Flow Using Conditional Generative Adversarial Networks
by Changlin Jiang et al

05-14-2020

Taskology: Utilizing Task Relations at Scale
by Yao Lu et al

05-12-2020

Deep Learning for Wireless Communications
by Tugba Erpek et al

05-15-2020

Spelling Error Correction with Soft-Masked BERT
by Shaohua Zhang et al

05-12-2020

Adaptive Double-Exploration Tradeoff for Outlier Detection
by Xiaojin Zhang et al

05-15-2020

Cross-lingual Transfer of Twitter Sentiment Models Using a Common Vector Space
by Marko Robnik-Sikonja et al

05-15-2020

Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures
by Alonso Marco et al

05-14-2020

Protecting the integrity of the training procedure of neural networks
by Christian Berghoff

05-15-2020

Neural Entity Linking on Technical Service Tickets
by Nadja Kurz et al

05-14-2020

Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks
by Oliver Ammann et al

05-12-2020

Data-driven Algorithm for Scheduling with Total Tardiness
by Michal Bouška et al

05-15-2020

Enhancing Lattice-based Motion Planning with Introspective Learning and Reasoning
by Mattias Tiger et al

05-12-2020

Fostering Event Compression using Gated Surprise
by Dania Humaidan et al

05-13-2020

On the Global Convergence Rates of Softmax Policy Gradient Methods
by Jincheng Mei et al

05-15-2020

Inverse design of crystals using generalized invertible crystallographic representation
by Zekun Ren et al

05-12-2020

Energy-Aware DNN Graph Optimization
by Yu Wang et al

05-14-2020

Communication-Efficient Gradient Coding for Straggler Mitigation in Distributed Learning
by Swanand Kadhe et al

05-15-2020

A Deep Q-learning/genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions
by Luis Miralles-Pechuán et al

05-12-2020

A computational model implementing subjectivity with the Room Theory. The case of detecting Emotion from Text
by Carlo Lipizzi et al

05-15-2020

DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip Resource Scheduling
by Tegg Taekyong Sung et al

05-12-2020

Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error
by Sinong Geng et al

05-14-2020

Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers
by Junjie Liu et al

05-13-2020

On Embeddings in Relational Databases
by Siddhant Arora et al

05-12-2020

Improved Flight Time Predictions for Fuel Loading Decisions of Scheduled Flights with a Deep Learning Approach
by Xinting Zhu et al

05-13-2020

Crackovid: Optimizing Group Testing
by Louis Abraham et al

05-13-2020

From Simulation to Real World Maneuver Execution using Deep Reinforcement Learning
by Alessandro Paolo Capasso et al

05-14-2020

Echo State Networks trained by Tikhonov least squares are L2({\mu}) approximators of ergodic dynamical systems
by Allen G Hart et al

05-14-2020

Temperate Fish Detection and Classification: a Deep Learning based Approach
by Kristian Muri Knausgård et al

05-14-2020

Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI
by Daniel J. Fremont et al

05-13-2020

Artificial Neural Network Pruning to Extract Knowledge
by Evgeny M Mirkes

05-12-2020

RSO: A Gradient Free Sampling Based Approach For Training Deep Neural Networks
by Rohun Tripathi et al

05-14-2020

Towards Assessment of Randomized Mechanisms for Certifying Adversarial Robustness
by Tianhang Zheng et al

05-13-2020

Adaptive Smoothing Path Integral Control
by Dominik Thalmeier et al

05-12-2020

AttViz: Online exploration of self-attention for transparent neural language modeling
by Blaž Škrlj et al

05-13-2020

A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization
by Minh Tu Hoang et al

05-12-2020

Identifying trace alternant activity in neonatal EEG using an inter-burst detection approach
by Sumit A. Raurale et al

05-14-2020

Training conformal predictors
by Nicolo Colombo et al

05-12-2020

Gradient-Free Methods for Saddle-Point Problem
by Aleksandr Beznosikov et al

05-14-2020

Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC)
by Gerome Vivar et al

05-12-2020

Evaluating Ensemble Robustness Against Adversarial Attacks
by George Adam et al

05-14-2020

Evolutionary Simplicial Learning as a Generative and Compact Sparse Framework for Classification
by Yigit Oktar et al

05-13-2020

Federated Recommendation System via Differential Privacy
by Tan Li et al

05-14-2020

Statistical Equity: A Fairness Classification Objective
by Ninareh Mehrabi et al

05-12-2020

Byzantine-Robust Decentralized Stochastic Optimization over Static and Time-Varying Networks
by Jie Peng et al

05-14-2020

An Evaluation of Recent Neural Sequence Tagging Models in Turkish Named Entity Recognition
by Gizem Aras et al

05-14-2020

Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation
by Daniel Weber et al

05-12-2020

Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems
by Yuan Sun et al

05-15-2020

Adaptive XGBoost for Evolving Data Streams
by Jacob Montiel et al

05-15-2020

Context-Dependent Acoustic Modeling without Explicit Phone Clustering
by Tina Raissi et al

05-13-2020

ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction
by Mohamed Ghalwash et al

05-12-2020

Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations
by Wayne Isaac Tan Uy et al

05-13-2020

A network-based transfer learning approach to improve sales forecasting of new products
by Tristan Karb et al

05-12-2020

Learning to Estimate Driver Drowsiness from Car Acceleration Sensors using Weakly Labeled Data
by Takayuki Katsuki et al

05-13-2020

Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey
by Joakim Skarding et al

05-12-2020

Classification of Infant Crying in Real-World Home Environments Using Deep Learning
by Xuewen Yao et al

05-15-2020

An Auto Encoder For Audio Dolphin Communication
by Daniel Kohlsdorf et al

05-12-2020

Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network
by Sumit A. Raurale et al

05-12-2020

SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization
by Navjot Singh et al

05-12-2020

Perturbing Inputs to Prevent Model Stealing
by Justin Grana

05-15-2020

On Learnability under General Stochastic Processes
by A. Philip Dawid et al

05-15-2020

Practical Traffic-space Adversarial Attacks on Learning-based NIDSs
by Dongqi Han et al

05-15-2020

Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet
by Hongsheng Chen et al

05-12-2020

Robustness Verification for Classifier Ensembles
by Dennis Gross et al

05-12-2020

Training spiking neural networks using reinforcement learning
by Sneha Aenugu

05-13-2020

Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach
by Orestis Christou et al

05-12-2020

Handling Concept Drift for Predictions in Business Process Mining
by Lucas Baier et al

05-14-2020

Unsupervised Severe Weather Detection Via Joint Representation Learning Over Textual and Weather Data
by Athanasios Davvetas et al

05-14-2020

Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking
by Flávia Alves et al

05-12-2020

The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis
by Jiae Kim et al

05-13-2020

Memory Controlled Sequential Self Attention for Sound Recognition
by Arjun Pankajakshan et al

05-12-2020

Early soft and flexible fusion of EEG and fMRI via tensor decompositions
by Christos Chatzichristos et al

05-15-2020

Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic
by Aythami Morales et al

05-12-2020

Safe Learning-based Observers for Unknown Nonlinear Systems using Bayesian Optimization
by Ankush Chakrabarty et al

05-15-2020

On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors
by Achintya Kumar Sarkar et al

05-15-2020

Siamese Neural Networks for Class Activity Detection
by Hang Li et al

 
Craig Smith