03192019


Efficient OffPolicy MetaReinforcement Learning via
Probabilistic Context Variables
by
Kate Rakelly
et al

Policy & Deep Reinforcement Learning

235

0

03212019


Towards Characterizing Divergence in Deep QLearning
by
Joshua Achiam
et al

Policy & Deep Reinforcement Learning

60

0

03192019


IndyLSTMs: Independently Recurrent LSTMs
by
Pedro Gonnet
et al

Recurrent Neural Networks (RNN) & LSTMs

59

0

03192019


A Quantum AnnealingBased Approach to Extreme
Clustering
by
Tim Jaschek
et al

Clusters & Spectral Clustering

34

0

03212019


Node Embedding over Temporal Graphs
by
Uriel Singer
et al

Node & Graph Convolutional Networks

30

0

03202019


A Graphstructured Dataset for Wikipedia Research
by
Nicolas Aspert
et al

Node & Graph Convolutional Networks

25

0

03202019


Implicit Generation and Generalization in EnergyBased
Models
by
Yilun Du
et al

Other

19

0

03202019


A Unified Analytical Framework for Trustable Machine
Learning and Automation Running with Blockchain
by
Tao Wang

Distributed & Deep Learning

19

0

03202019


Learning Hierarchical Representations of Electronic
Health Records for Clinical Outcome Prediction
by
Luchen Liu
et al

Prediction & Forecasting

19

0

03192019


NeuralHydrology  Interpreting LSTMs in Hydrology
by
Frederik Kratzert
et al

Recurrent Neural Networks (RNN) & LSTMs

18

0

03202019


Visual interpretation of the robustness of NonNegative
Associative Gradient Projection Points over function
minimizers in minibatch sampled loss functions
by
Dominic Kafka
et al

Stochastic Gradient & Gradient Descent

16

0

03202019


Performance Measurement for Deep Bayesian Neural
Network
by
Yikuan Li
et al

Uncertainty & Bayesian Neural Networks

15

0

03212019


Learning Disentangled Representations of Satellite
Image Time Series
by
Eduardo Sanchez
et al

Time Series Classification & Time Series
Forecasting

15

0

03202019


Interpreting Neural Networks Using Flip Points
by
Roozbeh Yousefzadeh
et al

Stochastic Gradient & Gradient Descent

14

0

03202019


Regularize, Expand and Compress: Multitask based
Lifelong Learning via NonExpansive AutoML
by
Jie Zhang
et al

Memory & Privacy

13

0

03212019


ShortTerm Prediction and MultiCamera Fusion on
Semantic Grids
by
Lukas Hoyer
et al

Policy & Deep Reinforcement Learning

13

0

03192019


Adaptive Hard Thresholding for Nearoptimal Consistent
Robust Regression
by
Arun Sai Suggala
et al

Regression & Linear

13

0

03192019


A Matrixinmatrix Neural Network for Image Super
Resolution
by
Hailong Ma
et al

Image Segmentation & Convolutional Neural Networks

12

0

03202019


Noisy Accelerated Power Method for Eigenproblems with
Applications
by
Vien V. Mai
et al

Regression & Linear

11

0

03202019


Rapid Convergence of the Unadjusted Langevin Algorithm:
LogSobolev Suffices
by
Santosh S. Vempala
et al

Stochastic Gradient & Gradient Descent

11

0

03192019


Simple, Fast, Accurate Intent Classification and Slot
Labeling
by
Arshit Gupta
et al

Recurrent Neural Networks (RNN) & LSTMs

11

0

03192019


Classincremental Learning via Deep Model Consolidation
by
Junting Zhang
et al

Domain Adaptation & Transfer Learning

10

0

03202019


Representative Datasets: The Perceptron Case
by
Rocio GonzalezDiaz
et al

Regression & Linear

10

0

03202019


Contextual Bandits with Random Projection
by
Xiaotian Yu

Regret & Bandits

10

0

03202019


Efficient Inner Product Approximation in Hybrid Spaces
by
Xiang Wu
et al

Other

9

0

03202019


Data Augmentation for Leaf Segmentation and Counting
Tasks in Rosette Plants
by
Dmitry Kuznichov
et al

Image Segmentation & Convolutional Neural Networks

9

0

03192019


The Probabilistic Object Detection Challenge
by
John Skinner
et al

Anomaly Detection & Object Detection

9

0

03192019


Hindsight Generative Adversarial Imitation Learning
by
Naijun Liu
et al

Policy & Deep Reinforcement Learning

9

0

03192019


An Evaluation of Bitcoin Address Classification based
on Transaction History Summarization
by
YuJing Lin
et al

Distributed & Deep Learning

9

0

03192019


GANs for SemiSupervised Opinion Spam Detection
by
Gray Stanton
et al

Label & Semisupervised

9

4

03202019


Accelerating Gradient Boosting Machine
by
Haihao Lu
et al

Stochastic Gradient & Gradient Descent

9

0

03212019


Convolutional Neural Network on SemiRegular
Triangulated Meshes and its Application to Brain Image
Data
by
Caoqiang Liu
et al

Node & Graph Convolutional Networks

9

0

03192019


Trained Uniform Quantization for Accurate and Efficient
Neural Network Inference on FixedPoint Hardware
by
Sambhav R. Jain
et al

Quantization & Compression

8

0

03202019


Dilated deeply supervised networks for hippocampus
segmentation in MRI
by
Lukas Folle
et al

Image Segmentation & Convolutional Neural Networks

8

0

03202019


Column2Vec: Structural Understanding via Distributed
Representations of Database Schemas
by
Michael J. Mior
et al

Distributed & Deep Learning

8

0

03212019


Interpretable Reinforcement Learning via Differentiable
Decision Trees
by
Ivan Dario Jimenez Rodriguez
et al

Tree & Fairness

8

0

03202019


CounterexampleGuided Strategy Improvement for POMDPs
Using Recurrent Neural Networks
by
Steven Carr
et al

Recurrent Neural Networks (RNN) & LSTMs

8

0

03192019


A semisupervised deep learning algorithm for abnormal
EEG identification
by
Subhrajit Roy
et al

Label & Semisupervised

8

0

03222019


Gradientonly line searches: An Alternative to
Probabilistic Line Searches
by
Dominic Kafka
et al

Stochastic Gradient & Gradient Descent

8

0

03212019


Generative Models For Deep Learning with Very Scarce
Data
by
Juan Maroñas
et al

Variational & Latent

8

0

03192019


A Comprehensive Comparison of Unsupervised Network
Representation Learning Methods
by
Megha Khosla
et al

Node & Graph Convolutional Networks

8

0

03202019


Uncertainty quantification of molecular property
prediction with Bayesian neural networks
by
Seongok Ryu
et al

Uncertainty & Bayesian Neural Networks

7

0

03192019


Surprises in HighDimensional Ridgeless Least Squares
Interpolation
by
Trevor Hastie
et al

Regression & Linear

7

0

03202019


Learning Convolutional Transforms for Lossy Point Cloud
Geometry Compression
by
Maurice Quach
et al

Quantization & Compression

7

0

03212019


A Principled Approach for Learning Task Similarity in
Multitask Learning
by
Changjian Shui
et al

Other

7

0

03192019


Adaptivity, Variance and Separation for Adversarial
Bandits
by
Roman Pogodin
et al

Regret & Bandits

7

0

03212019


Convolutional neural network for detection and
classification of seizures in clinical data
by
Tomas Iesmantas
et al

Image Segmentation & Convolutional Neural Networks

7

0

03192019


Ensemble Clustering for Graphs: Comparisons and
Applications
by
Valérie Poulin
et al

Clusters & Spectral Clustering

7

0

03192019


A Note on KLUCB+ Policy for the Stochastic Bandit
by
Junya Honda

Policy & Deep Reinforcement Learning

7

0

03192019


Identifying Experts in Software Libraries and
Frameworks among GitHub Users
by
Joao Eduardo Montandon
et al

Distributed & Deep Learning

6

0

03192019


Personalized Neural Embeddings for Collaborative
Filtering with Text
by
Guangneng Hu

Word Embeddings & Users

6

0

03202019


Preference rules for label ranking: Mining patterns in
multitarget relations
by
Cláudio Rebelo de Sá
et al

Label & Semisupervised

6

0

03202019


Threedimensional Segmentation of Trees Through a
Flexible MultiClass Graph Cut Algorithm (MCGC)
by
Jonathan Williams
et al

Tree & Fairness

6

0

03192019


POPCNN: Predicting Odors Pleasantness with
Convolutional Neural Network
by
Danli Wu
et al

Image Segmentation & Convolutional Neural Networks

6

0

03212019


Towards automatic construction of multinetwork models
for heterogeneous multitask learning
by
Unai Garciarena
et al

Image Segmentation & Convolutional Neural Networks

5

0

03212019


A unified spectra analysis workflow for the assessment
of microbial contamination of ready to eat green
salads: Comparative study and application of
noninvasive sensors
by
Panagiotis Tsakanikas
et al

Feature Selection Using & Malware

5

0

03212019


MultiTask Time Series Analysis applied to Drug
Response Modelling
by
Alex Bird
et al

Time Series Classification & Time Series
Forecasting

5

0

03212019


Harmless interpolation of noisy data in regression
by
Vidya Muthukumar
et al

Regression & Linear

5

0

03192019


Conservative Exploration for SemiBandits with Linear
Generalization: A Product Selection Problem for Urban
Warehouses
by
Rong Jin
et al

Regret & Bandits

5

0

03202019


Designing nanophotonic structures using
conditionaldeep convolutional generative adversarial
networks
by
Sunae So
et al

GANs & Generative Adversarial Networks

5

0

03192019


HyperParameter Sweep on AlphaZero General
by
Hui Wang
et al

Uncertainty & Bayesian Neural Networks

5

0

03192019


Dynamic Learning of Sequential Choice Bandit Problem
under Marketing Fatigue
by
Junyu Cao
et al

Word Embeddings & Users

5

0

03212019


Subgraph Networks with Application to Structural
Feature Space Expansion
by
Qi Xuan
et al

Feature Selection Using & Malware

5

0

03212019


Deep Models for Relational Databases
by
Devon Graham
et al

Other

5

0

03202019


Distributed Maximization of Submodular plus Diversity
Functions for Multilabel Feature Selection on Huge
Datasets
by
Mehrdad Ghadiri
et al

Feature Selection Using & Malware

5

0

03192019


Residual Deep Convolutional Neural Network for EEG
Signal Classification in Epilepsy
by
Diyuan Lu
et al

Image Segmentation & Convolutional Neural Networks

4

0

03212019


Hydra: A method for strainminimizing hyperbolic
embedding
by
Martin KellerRessel
et al

Word Embeddings & Users

4

0

03222019


Artificial intelligencebased process for metal scrap
sorting
by
Maximilian Auer
et al

Distributed & Deep Learning

4

0

03202019


Modelling Sequential Music Track Skips using a
MultiRNN Approach
by
Christian Hansen
et al

Recurrent Neural Networks (RNN) & LSTMs

4

0

03222019


Sampling Acquisition Functions for Batch Bayesian
Optimization
by
Alessandro De Palma
et al

Uncertainty & Bayesian Neural Networks

4

0

03212019


Stochastic Optimization of Sorting Networks via
Continuous Relaxations
by
Aditya Grover
et al

Stochastic Gradient & Gradient Descent

4

0

03212019


Latent Simplex Position Model: High Dimensional
Multiview Clustering with Uncertainty Quantification
by
Leo L Duan

Clusters & Spectral Clustering

4

0

03192019


A Choquet Fuzzy Integral Vertical Bagging Classifier
for Mobile Telematics Data Analysis
by
Mohammad Siami
et al

Domain Adaptation & Transfer Learning

4

0

03212019


Transferability of Operational Status Classification
Models Among Different Wind Turbine Typesq
by
Z. Trstanova
et al

Lowrank & Dictionary Learning

4

0

03192019


Kernelbased Translations of Convolutional Networks
by
Corinne Jones
et al

Image Segmentation & Convolutional Neural Networks

4

0

03212019


Variational Bayesian modelling of mixedeffects
by
Jean Daunizeau

Uncertainty & Bayesian Neural Networks

4

0

03212019


Exact slice sampler for Hierarchical Dirichlet
Processes
by
Arash A. Amini
et al

Quantization & Compression

4

0

03222019


Deep Hierarchical Reinforcement Learning Based
Recommendations via Multigoals Abstraction
by
Dongyang Zhao
et al

Policy & Deep Reinforcement Learning

3

0

03212019


On Approximate Nonlinear Gaussian Message Passing On
Factor Graphs
by
Eike Petersen
et al

Regression & Linear

3

0

03212019


PerturbedHistory Exploration in Stochastic Linear
Bandits
by
Branislav Kveton
et al

Regret & Bandits

3

0

03192019


Learning Reciprocity in Complex Sequential Social
Dilemmas
by
Tom Eccles
et al

Word Embeddings & Users

3

0

03212019


Unsupervised Speech Enhancement Based on Multichannel
NMFInformed Beamforming for NoiseRobust Automatic
Speech Recognition
by
Kazuki Shimada
et al

Speech Recognition & End

2

0

03212019


The Binary Space PartitioningTree Process
by
Xuhui Fan
et al

Tree & Fairness

2

0

03212019


Using association rule mining and ontologies to
generate metadata recommendations from multiple
biomedical databases
by
Marcos MartínezRomero
et al

Word Embeddings & Users

2

0

03202019


A Novel Monocular Disparity Estimation Network with
Domain Transformation and Ambiguity Learning
by
Juan Luis Gonzalez Bello
et al

Image Segmentation & Convolutional Neural Networks

2

0

03212019


Low Resource Text Classification with ULMFit and
Backtranslation
by
Sam Shleifer

Word Embeddings & Users

2

0

03222019


Multimodal Probabilistic Prediction of Interactive
Behavior via an Interpretable Model
by
Yeping Hu
et al

Policy & Deep Reinforcement Learning

2

0

03212019


Distributed offPolicy ActorCritic Reinforcement
Learning with Policy Consensus
by
Yan Zhang
et al

Policy & Deep Reinforcement Learning

2

0

03212019


Patient Clustering Improves Efficiency of Federated
Machine Learning to predict mortality and hospital stay
time using distributed Electronic Medical Records
by
Li Huang
et al

Server & Federated Learning Framework

2

1

03222019


Comparison of Handheld WEMI Target Detection
Algorithms
by
Connor H. McCurley
et al

Anomaly Detection & Object Detection

1

0

03212019


Learning Two layer Networks with Multinomial Activation
and High Thresholds
by
Surbhi Goel
et al

Regression & Linear

1

0

03212019


MultiDomain Adversarial Learning
by
Alice SchoenauerSebag
et al

Domain Adaptation & Transfer Learning

1

0

03212019


A Novel Independent RNN Approach to Classification of
Seizures against Nonseizures
by
Xinghua Yao
et al

Image Segmentation & Convolutional Neural Networks

1

0

03212019


Empirical confidence estimates for classification by
deep neural networks
by
Chris Finlay
et al

Uncertainty & Bayesian Neural Networks

1

0

03212019


A ComputerAided System for Determining the Application
Range of a Warfarin Clinical Dosing Algorithm Using
Support Vector Machines with a Polynomial Kernel
Function
by
Ashkan Sharabiani
et al

Prediction & Forecasting

1

0

03222019


Impulse Response and Granger Causality in Dynamical
Systems with Autoencoder Nonlinear Vector
Autoregressions
by
Kurt Izak Cabanilla
et al

Dynamics & Control

1

0

03222019


Use of Ghost Cytometry to Differentiate Cells with
Similar Gross Morphologic Characteristics
by
Hiroaki Adachi
et al

Image Segmentation & Convolutional Neural Networks

1

0

03222019


The invisible power of fairness. How machine learning
shapes democracy
by
Elena Beretta
et al

Tree & Fairness

1

0

03212019


DQN with modelbased exploration: efficient learning on
environments with sparse rewards
by
Stephen Zhen Gou
et al

Policy & Deep Reinforcement Learning

1

0
