2021.4.5 Learning papers

 

03-31-2021

StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
by Or Patashnik et al

03-30-2021

Using Artificial Intelligence to Shed Light on the Star of Biscuits: The Jaffa Cake
by H. F. Stevance

04-01-2021

NeRF-VAE: A Geometry Aware 3D Scene Generative Model
by Adam R. Kosiorek et al

03-30-2021

Text Classification Using Hybrid Machine Learning Algorithms on Big Data
by D. C. Asogwa et al

04-01-2021

Towards General Purpose Vision Systems
by Tanmay Gupta et al

04-01-2021

Unconstrained Scene Generation with Locally Conditioned Radiance Fields
by Terrance DeVries et al

03-31-2021

Why is AI hard and Physics simple?
by Daniel A. Roberts

04-01-2021

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
by Ajay Jain et al

03-31-2021

Learning Generalizable Robotic Reward Functions from In-The-Wild Human Videos
by Annie S. Chen et al

03-31-2021

On the Origin of Species of Self-Supervised Learning
by Samuel Albanie et al

03-31-2021

Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications
by Philip Matthias Winter et al

03-30-2021

Put Chatbot into Its Interlocutors Shoes: New Framework to Learn Chatbot Responding with Intention
by Hsuan Su et al

03-30-2021

Unsupervised Learning of 3D Object Categories from Videos in the Wild
by Philipp Henzler et al

03-30-2021

Learning monocular 3D reconstruction of articulated categories from motion
by Filippos Kokkinos et al

04-01-2021

LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions
by Oğuz Kaan Yüksel et al

03-30-2021

End-to-End Constrained Optimization Learning: A Survey
by James Kotary et al

03-31-2021

Analysis on Image Set Visual Question Answering
by Abhinav Khattar et al

03-31-2021

CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields
by Michael Niemeyer et al

04-02-2021

Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation
by Karl Stelzner et al

03-31-2021

Rainbow Memory: Continual Learning with a Memory of Diverse Samples
by Jihwan Bang et al

04-01-2021

Many-to-English Machine Translation Tools, Data, and Pretrained Models
by Thamme Gowda et al

03-31-2021

Training robust deep learning models for medical imaging tasks with spectral decoupling
by Joona Pohjonen et al

03-30-2021

Charged particle tracking via edge-classifying interaction networks
by Gage DeZoort et al

04-01-2021

Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
by Zhiqiang Shen et al

04-01-2021

Avalanche: an End-to-End Library for Continual Learning
by Vincenzo Lomonaco et al

04-01-2021

Speech Resynthesis from Discrete Disentangled Self-Supervised Representations
by Adam Polyak et al

03-31-2021

Video Exploration via Video-Specific Autoencoders
by Kevin Wang et al

03-30-2021

Symbolic Music Generation with Diffusion Models
by Gautam Mittal et al

03-31-2021

An Investigation of Critical Issues in Bias Mitigation Techniques
by Robik Shrestha et al

04-01-2021

Text to Image Generation with Semantic-Spatial Aware GAN
by Wentong Liao et al

03-30-2021

Attention, please! A survey of Neural Attention Models in Deep Learning
by Alana de Santana Correia et al

03-31-2021

Solving Heterogeneous General Equilibrium Economic Models with Deep Reinforcement Learning
by Edward Hill et al

04-01-2021

A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
by Jong-Chyi Su et al

03-31-2021

Quantum Optimization for Training Quantum Neural Networks
by Yidong Liao et al

03-30-2021

Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification
by Alexis Perakis et al

04-01-2021

Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits
by Hojung Lee et al

03-30-2021

Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
by Zhenfang Chen et al

04-01-2021

A Survey on Semi-parametric Machine Learning Technique for Time Series Forecasting
by Khwaja Mutahir Ahmad et al

04-01-2021

Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis
by Nima Hatami et al

04-01-2021

SimPoE: Simulated Character Control for 3D Human Pose Estimation
by Ye Yuan et al

04-01-2021

Multiview Pseudo-Labeling for Semi-supervised Learning from Video
by Bo Xiong et al

03-31-2021

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks
by Kajetan Grodecki et al

04-01-2021

Low-Resource Neural Machine Translation for South-Eastern African Languages
by Evander Nyoni et al

04-01-2021

MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking
by Jennifer Jang et al

03-31-2021

Hierarchical Road Topology Learning for Urban Map-less Driving
by Li Zhang et al

04-01-2021

Touch-based Curiosity for Sparse-Reward Tasks
by Sai Rajeswar et al

03-30-2021

Model-Contrastive Federated Learning
by Qinbin Li et al

03-31-2021

NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization
by Tien-Ju Yang et al

04-01-2021

Model Selections Disparate Impact in Real-World Deep Learning Applications
by Jessica Zosa Forde et al

04-01-2021

Learning Deep Latent Subspaces for Image Denoising
by Yunhao Yang et al

04-02-2021

Assem-VC: Realistic Voice Conversion by Assembling Modern Speech Synthesis Techniques
by Kang-wook Kim et al

03-31-2021

Perun: Secure Multi-Stakeholder Machine Learning Framework with GPU Support
by Wojciech Ozga et al

03-30-2021

SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation
by Xuning Shao et al

04-01-2021

Domain Invariant Adversarial Learning
by Matan Levi et al

04-01-2021

Sampling and Filtering of Neural Machine Translation Distillation Data
by Vilém Zouhar

03-31-2021

Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene Classification
by Qi Zhao et al

03-31-2021

Unpaired Single-Image Depth Synthesis with cycle-consistent Wasserstein GANs
by Christoph Angermann et al

03-31-2021

Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation
by Aviral Joshi et al

03-31-2021

Smartphone Camera Oximetry in an Induced Hypoxemia Study
by Jason S. Hoffman et al

03-30-2021

A probabilistic deep learning approach to automate the interpretation of multi-phase diffraction spectra
by Nathan J. Szymanski et al

03-31-2021

OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection
by Saad Abbasi et al

03-31-2021

Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition
by Timo Lohrenz et al

03-30-2021

Locally-Contextual Nonlinear CRFs for Sequence Labeling
by Harshil Shah et al

03-30-2021

The Elastic Lottery Ticket Hypothesis
by Xiaohan Chen et al

03-31-2021

Learning with Memory-based Virtual Classes for Deep Metric Learning
by Byungsoo Ko et al

04-01-2021

Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features
by Ashkan Khakzar et al

04-01-2021

How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control?
by Jingxi Xu et al

03-30-2021

Extending Neural P-frame Codecs for B-frame Coding
by Reza Pourreza et al

03-30-2021

Quantifying the Scanner-Induced Domain Gap in Mitosis Detection
by Marc Aubreville et al

03-31-2021

Leveraging Neural Machine Translation for Word Alignment
by Vilém Zouhar et al

03-30-2021

AfriKI: Machine-in-the-Loop Afrikaans Poetry Generation
by Imke van Heerden et al

04-01-2021

Detecting over/under-translation errors for determining adequacy in human translations
by Prabhakar Gupta et al

03-30-2021

Robustness Certification for Point Cloud Models
by Tobias Lorenz et al

04-01-2021

Towards Evaluating and Training Verifiably Robust Neural Networks
by Zhaoyang Lyu et al

03-31-2021

Joint Khmer Word Segmentation and Part-of-Speech Tagging Using Deep Learning
by Rina Buoy et al

04-02-2021

Fast and Accurate Randomized Algorithms for Low-rank Tensor Decompositions
by Linjian Ma et al

04-01-2021

Federated Few-Shot Learning with Adversarial Learning
by Chenyou Fan et al

04-01-2021

Partition-Guided GANs
by Mohammadreza Armandpour et al

04-02-2021

Hybrid and Generalized Bayesian Cram\{e}r-Rao Inequalities via Information Geometry
by Kumar Vijay Mishra et al

03-31-2021

Classification of Hematoma: Joint Learning of Semantic Segmentation and Classification
by Hokuto Hirano et al

03-30-2021

CloneBot: Personalized Dialogue-Response Predictions
by Tyler Weitzman et al

03-31-2021

Spectral Unions of Partial Deformable 3D Shapes
by Luca Moschella et al

04-02-2021

Skillful Precipitation Nowcasting using Deep Generative Models of Radar
by Suman Ravuri et al

03-30-2021

Exploiting Invariance in Training Deep Neural Networks
by Chengxi Ye et al

03-31-2021

RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning
by Tong Wu et al

04-01-2021

SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification
by Tanmay Chakraborty et al

04-01-2021

A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space
by Ankitesh K. Singh et al

04-01-2021

A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions
by Arnulf Jentzen et al

03-30-2021

Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
by Songyang Zhang et al

03-31-2021

Energy Efficient Edge Computing: When Lyapunov Meets Distributed Reinforcement Learning
by Mohamed Sana et al

04-01-2021

quantum Case-Based Reasoning (qCBR)
by Parfait Atchade-Adelomou et al

03-30-2021

Differentiable Network Adaption with Elastic Search Space
by Shaopeng Guo et al

04-01-2021

LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
by ByeoungDo Kim et al

03-30-2021

Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion
by Vitor Guizilini et al

03-31-2021

Identifying Co-Adaptation of Algorithmic and Implementational Innovations in Deep Reinforcement Learning: A Taxonomy and Case Study of Inference-based Algorithms
by Hiroki Furuta et al

03-30-2021

Assessing the Role of Random Forests in Medical Image Segmentation
by Dennis Hartmann et al

03-30-2021

DER: Dynamically Expandable Representation for Class Incremental Learning
by Shipeng Yan et al

03-30-2021

Pre-training strategies and datasets for facial representation learning
by Adrian Bulat et al

03-31-2021

Analysis and modeling to forecast in time series: a systematic review
by Fatoumata Dama et al

04-02-2021

Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
by Thomas Rojat et al

03-31-2021

Towards Prior-Free Approximately Truthful One-Shot Auction Learning via Differential Privacy
by Daniel Reusche et al

04-01-2021

Learning with Neural Tangent Kernels in Near Input Sparsity Time
by Amir Zandieh

04-01-2021

Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators
by Vitor Cerqueira et al

04-02-2021

Distributional Offline Continuous-Time Reinforcement Learning with Neural Physics-Informed PDEs (SciPhy RL for DOCTR-L)
by Igor Halperin

03-30-2021

Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning
by Csaba Kertész

04-02-2021

Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training
by Wei-Ning Hsu et al

03-31-2021

Channel-Based Attention for LCC Using Sentinel-2 Time Series
by Hermann Courteille et al

03-31-2021

Efficient Large-Scale Face Clustering Using an Online Mixture of Gaussians
by David Montero et al

03-31-2021

Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation
by Amrutha Saseendran et al

03-31-2021

GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
by Abhinav Kumar et al

03-30-2021

Deep Learning and Machine Vision for Food Processing: A Survey
by Lili Zhu et al

03-30-2021

SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification
by Zijian Hu et al

03-30-2021

Grounding Open-Domain Instructions to Automate Web Support Tasks
by Nancy Xu et al

04-01-2021

No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks
by Shyamgopal Karthik et al

03-31-2021

DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation
by Faraz Torabi et al

04-01-2021

Confidence Calibration for Domain Generalization under Covariate Shift
by Yunye Gong et al

03-30-2021

EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models
by Omar Shaikh et al

03-30-2021

Learning Robust Feedback Policies from Demonstrations
by Abed AlRahman Al Makdah et al

04-01-2021

Storchastic: A Framework for General Stochastic Automatic Differentiation
by Emile van Krieken et al

03-31-2021

Trajectory Tracking of Underactuated Sea Vessels With Uncertain Dynamics: An Integral Reinforcement Learning Approach
by Mohammed Abouheaf et al

04-02-2021

Assessment of machine learning methods for state-to-state approaches
by Lorenzo Campoli et al

03-30-2021

Data-Driven Optimization for Police Zone Design
by Shixiang Zhu et al

03-30-2021

Parameterized Hypercomplex Graph Neural Networks for Graph Classification
by Tuan Le et al

04-02-2021

Efficacy of Bayesian Neural Networks in Active Learning
by Vineeth Rakesh et al

03-31-2021

Neural Response Interpretation through the Lens of Critical Pathways
by Ashkan Khakzar et al

04-02-2021

Developing a New Autism Diagnosis Process Based on a Hybrid Deep Learning Architecture Through Analyzing Home Videos
by Spencer He et al

04-01-2021

DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation
by Pingchuan Ma et al

03-31-2021

Bit-Mixer: Mixed-precision networks with runtime bit-width selection
by Adrian Bulat et al

04-01-2021

Machine Learning Applications to Kronian Magnetospheric Reconnection Classification
by Tadhg M. Garton et al

03-31-2021

Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections
by Zhenzhang Ye et al

04-01-2021

Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation
by Saahil Jain et al

03-31-2021

Reliable Detection of Compressed and Encrypted Data
by Fabio De Gaspari et al

03-30-2021

Adversarially learned iterative reconstruction for imaging inverse problems
by Subhadip Mukherjee et al

04-01-2021

Drug Discovery Approaches using Quantum Machine Learning
by Junde Li et al

03-30-2021

FONTNET: On-Device Font Understanding and Prediction Pipeline
by Rakshith S et al

03-30-2021

PointBA: Towards Backdoor Attacks in 3D Point Cloud
by Xinke Li et al

03-30-2021

Benchmarks for Deep Off-Policy Evaluation
by Justin Fu et al

04-01-2021

Reservoir-Based Distributed Machine Learning for Edge Operation
by Silvija Kokalj-Filipovic et al

 
 

04-01-2021

ProcessTransformer: Predictive Business Process Monitoring with Transformer Network
by Zaharah A. Bukhsh et al

03-31-2021

Topic Scaling: A Joint Document Scaling -- Topic Model Approach To Learn Time-Specific Topics
by Sami Diaf et al

03-31-2021

Fast Certified Robust Training via Better Initialization and Shorter Warmup
by Zhouxing Shi et al

04-02-2021

Defending Against Image Corruptions Through Adversarial Augmentations
by Dan A. Calian et al

04-01-2021

Multitarget Tracking with Transformers
by Juliano Pinto et al

04-01-2021

BRepNet: A topological message passing system for solid models
by Joseph G. Lambourne et al

03-31-2021

Optimizer Fusion: Efficient Training with Better Locality and Parallelism
by Zixuan Jiang et al

03-31-2021

CrowdTeacher: Robust Co-teaching with Noisy Answers & Sample-specific Perturbations for Tabular Data
by Mani Sotoodeh et al

03-30-2021

Towards understanding the power of quantum kernels in the NISQ era
by Xinbiao Wang et al

03-31-2021

Using activation histograms to bound the number of affine regions in ReLU feed-forward neural networks
by Peter Hinz et al

03-31-2021

Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers
by Patricia Pauli et al

04-01-2021

Reconciling the Discrete-Continuous Divide: Towards a Mathematical Theory of Sparse Communication
by André F. T. Martins

04-01-2021

Unconstrained Face Recognition using ASURF and Cloud-Forest Classifier optimized with VLAD
by A Vinay et al

04-02-2021

A Comparison of Similarity Based Instance Selection Methods for Cross Project Defect Prediction
by Seyedrebvar Hosseini et al

04-01-2021

Fast DCTTS: Efficient Deep Convolutional Text-to-Speech
by Minsu Kang et al

04-01-2021

Constrained non-negative matrix factorization enabling real-time insights of in situin situ and high-throughput experiments
by Phillip M. Maffettone et al

04-02-2021

Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics
by Arkopal Dutt et al

03-31-2021

Universal Prediction Band via Semi-Definite Programming
by Tengyuan Liang

03-30-2021

Human Activity Analysis and Recognition from Smartphones using Machine Learning Techniques
by Jakaria Rabbi et al

03-31-2021

Robust Experimentation in the Continuous Time Bandit Problem
by Farzad Pourbabaee

04-01-2021

Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features
by Florian Pargent et al

03-31-2021

OLIVAW: Mastering Othello with neither Humans nor a Penny
by Antonio Norelli et al

03-30-2021

HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
by Saverio Vadacchino et al

04-02-2021

How Powerful are Performance Predictors in Neural Architecture Search?
by Colin White et al

04-02-2021

Effect of depth order on iterative nested named entity recognition models
by Perceval Wajsburt et al

03-31-2021

High-Dimensional Uncertainty Quantification via Rank- and Sample-Adaptive Tensor Regression
by Zichang He et al

03-31-2021

DIVERSE: bayesian Data IntegratiVE learning for precise drug ResponSE prediction
by Betül Güvenç Paltun et al

04-01-2021

Confidence Adaptive Anytime Pixel-Level Recognition
by Zhuang Liu et al

03-30-2021

Neural Transformation Learning for Deep Anomaly Detection Beyond Images
by Chen Qiu et al

03-31-2021

Near field Acoustic Holography on arbitrary shapes using Convolutional Neural Network
by Marco Olivieri et al

04-01-2021

fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation
by Jakub Wiśniewski et al

03-30-2021

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System
by Wai Weng Lo et al

03-31-2021

Federated Learning: A Signal Processing Perspective
by Tomer Gafni et al

03-31-2021

Fast Jacobian-Vector Product for Deep Networks
by Randall Balestriero et al

03-31-2021

Collaborative Label Correction via Entropy Thresholding
by Hao Wu et al

03-30-2021

Automatic Graph Partitioning for Very Large-scale Deep Learning
by Masahiro Tanaka et al

04-01-2021

Holdout-Based Fidelity and Privacy Assessment of Mixed-Type Synthetic Data
by Michael Platzer et al

03-30-2021

Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone
by Sandeep Kumar et al

04-01-2021

GABO: Graph Augmentations with Bi-level Optimization
by Heejung W. Chung et al

03-31-2021

Using depth information and colour space variations for improving outdoor robustness for instance segmentation of cabbage
by Nils Lüling et al

03-30-2021

Exploring Edge TPU for Network Intrusion Detection in IoT
by Seyedehfaezeh Hosseininoorbin et al

04-02-2021

Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping
by Yantian Zha et al

03-30-2021

Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal
by Enrique Fernandez-Blanco et al

04-01-2021

Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic
by Jonathan Larson et al

03-31-2021

Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix
by Tamer Ölmez et al

04-01-2021

PolyDNN: Polynomial Representation of NN for Communication-less SMPC Inference
by Philip Derbeko et al

03-30-2021

Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability
by Carmen Jiménez-Mesa et al

03-30-2021

Endo-Depth-and-Motion: Localization and Reconstruction in Endoscopic Videos using Depth Networks and Photometric Constraints
by David Recasens et al

04-01-2021

Coalitional strategies for efficient individual prediction explanation
by Gabriel Ferrettini et al

04-01-2021

Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks
by Hao Peng et al

03-30-2021

Individually Fair Gradient Boosting
by Alexander Vargo et al

04-02-2021

Glioma Prognosis: Segmentation of the Tumor and Survival Prediction using Shape, Geometric and Clinical Information
by Mobarakol Islam et al

03-30-2021

A New Algorithm for Discrete-Time Parameter Estimation
by Yingnan Cui et al

03-30-2021

Nonlinear Weighted Directed Acyclic Graph and A Priori Estimates for Neural Networks
by Yuqing Li et al

04-02-2021

Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering
by Yiqiu Wang et al

04-02-2021

Using Simulation to Aid the Design and Optimization of Intelligent User Interfaces for Quality Assurance Processes in Machine Learning
by Yu Zhang et al

04-01-2021

Variational Inference MPC using Tsallis Divergence
by Ziyi Wang et al

04-02-2021

Permutation-Invariant Subgraph Discovery
by Raghvendra Mall et al

03-31-2021

Convolutional Dynamic Alignment Networks for Interpretable Classifications
by Moritz Böhle et al

03-31-2021

Empirically explaining SGD from a line search perspective
by Maximus Mutschler et al

04-01-2021

A study on the effects of compression on hyperspectral image classification
by Kiran Mantripragada et al

04-01-2021

Physics-informed neural networks for the shallow-water equations on the sphere
by Alex Bihlo et al

04-01-2021

High-Dimensional Differentially-Private EM Algorithm: Methods and Near-Optimal Statistical Guarantees
by Zhe Zhang et al

03-31-2021

Spatiotemporal Data Mining: A Survey on Challenges and Open Problems
by Ali Hamdi et al

03-31-2021

Fitting Elephants
by Partha P Mitra

03-31-2021

Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
by Zeke Xie et al

03-31-2021

Online Learning Probabilistic Event Calculus Theories in Answer Set Programming
by Nikos Katzouris et al

04-02-2021

Time Series Imaging for Link Layer Anomaly Classification in Wireless Networks
by Blaz Bertalanic et al

04-02-2021

Multi-Class Data Description for Out-of-distribution Detection
by Dongha Lee et al

03-30-2021

Model-based clustering of partial records
by Emily M. Goren et al

03-31-2021

SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network
by Amit Roy et al

04-01-2021

CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGAN
by Giorgio Barnabò et al

03-30-2021

User profile-driven large-scale multi-agent learning from demonstration in federated human-robot collaborative environments
by Georgios Th. Papadopoulos et al

04-01-2021

Latent Space Data Assimilation by using Deep Learning
by Mathis Peyron et al

03-31-2021

Mobility Functional Areas and COVID-19 Spread
by Stefano Maria Iacus et al

03-30-2021

Research of Damped Newton Stochastic Gradient Descent Method for Neural Network Training
by Jingcheng Zhou et al

03-30-2021

Optimal Stochastic Nonconvex Optimization with Bandit Feedback
by Puning Zhao et al

03-30-2021

A resource-efficient method for repeated HPO and NAS problems
by Giovanni Zappella et al

03-30-2021

Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
by Shaocong Ma et al

03-31-2021

Data-Driven Optimized Tracking Control Heuristic for MIMO Structures: A Balance System Case Study
by Ning Wang et al

04-01-2021

Optimization Algorithm for Feedback and Feedforward Policies towards Robot Control Robust to Sensing Failures
by Taisuke Kobayashi et al

03-31-2021

Achieving Transparency Report Privacy in Linear Time
by Chien-Lun Chen et al

03-30-2021

Binarized Neural Networks for Resource-Constrained On-Device Gait Identification
by Daniel J. Wu et al

04-02-2021

Hybrid Policy Learning for Energy-Latency Tradeoff in MEC-Assisted VR Video Service
by Chong Zheng et al

03-30-2021

Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning
by Wilhelm Kirchgässner et al

04-01-2021

Replicate or Relocate? Non-Uniform Access in Parameter Servers
by Alexander Renz-Wieland et al

03-30-2021

Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World
by Florian Laurent et al

03-30-2021

Variational models for signal processing with Graph Neural Networks
by Amitoz Azad et al

04-02-2021

Surfacing Estimation Uncertainty in the Decay Parameters of Hawkes Processes with Exponential Kernels
by Tiago Santos et al

04-01-2021

TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness
by Zhuolin Yang et al

03-31-2021

Sub-GMN: The Subgraph Matching Network Model
by Zixun Lan et al

03-31-2021

VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance
by Spyridon Paraschos et al

03-30-2021

cuConv: A CUDA Implementation of Convolution for CNN Inference
by Marc Jordà et al

03-31-2021

Deep Reinforcement Learning for Constrained Field Development Optimization in Subsurface Two-phase Flow
by Yusuf Nasir et al

03-30-2021

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Craig Smith