03112019

Deep learning for molecular generation and optimization
 a review of the state of the art
by
Daniel C. Elton
et al

03082019

Support and Invertibility in DomainInvariant
Representations
by
Fredrik D. Johansson
et al

03112019

Manipulation by Feel: TouchBased Control with Deep
Predictive Models
by
Stephen Tian
et al

03072019

Only sparsity based loss function for learning
representations
by
Vivek Bakaraju
et al

03082019

Improving DeviceEdge Cooperative Inference of Deep
Learning via 2Step Pruning
by
Wenqi Shi
et al

03072019

Active learning for enumerating local minima based on
Gaussian process derivatives
by
Yu Inatsu
et al

03072019

Quantum Latent Semantic Analysis
by
Fabio A. González
et al

03102019

Algorithms for an Efficient Tensor Biclustering
by
Andriantsiory Dina Faneva
et al

03092019

Stochastic Incremental Algorithms for Optimal Transport
with SON Regularizer
by
Ashkan Panahi
et al

03082019

Random MatrixImproved Estimation of the Wasserstein
Distance between two Centered Gaussian Distributions
by
Malik Tiomoko
et al

03062019

Explaining Anomalies Detected by Autoencoders Using
SHAP
by
Liat Antwarg
et al

03072019

Characterization of Posidonia Oceanica Seagrass
Aerenchyma through Whole Slide Imaging: A Pilot Study
by
Olivier Debeir
et al

03072019

Efficient and Effective Quantization for Sparse DNNs
by
Yiren Zhao
et al

03092019

Fair Logistic Regression: An Adversarial Perspective
by
Ashkan Rezaei
et al

03102019

Large Scale Learning of Agent Rationality in TwoPlayer
ZeroSum Games
by
Chun Kai Ling
et al

03072019

Dynamic Anonymized Evaluation for Behavioral Continuous
Authentication
by
Rasana Manandhar
et al

03072019

The Variational Predictive Natural Gradient
by
Da Tang
et al

03072019

Analysis Dictionary Learning: An Efficient and
Discriminative Solution
by
Wen Tang
et al

03092019

Manifold Preserving Adversarial Learning
by
Ousmane Amadou Dia
et al

03112019

Physics Enhanced Artificial Intelligence
by
Patrick O'Driscoll
et al

03112019

Shapley regressions: A framework for statistical
inference on machine learning models
by
Andreas Joseph

03072019

SLIDE : In Defense of Smart Algorithms over Hardware
Acceleration for LargeScale Deep Learning Systems
by
Beidi Chen
et al

03062019

Adversarial Mixup Resynthesizers
by
Christopher Beckham
et al

03072019

Deep Learning for Channel Coding via Neural Mutual
Information Estimation
by
Rick Fritschek
et al

03072019

Convergence of MultiAgent Learning with a Finite Step
Size in GeneralSum Games
by
Xinliang Song
et al

03072019

When random search is not enough: SampleEfficient and
NoiseRobust Blackbox Optimization of RL Policies
by
Krzysztof Choromanski
et al

03102019

Asynchronous Federated Optimization
by
Cong Xie
et al

03102019

Fall of Empires: Breaking Byzantinetolerant SGD by
Inner Product Manipulation
by
Cong Xie
et al

03082019

Learning Heuristics over Large Graphs via Deep
Reinforcement Learning
by
Akash Mittal
et al

03082019

Is Deeper Better only when Shallow is Good?
by
Eran Malach
et al

03112019

Bayesian Allocation Model: Inference by Sequential
Monte Carlo for Nonnegative Tensor Factorizations and
Topic Models using Polya Urns
by
Ali Taylan Cemgil
et al

03112019

Revisiting clustering as matrix factorisation on the
Stiefel manifold
by
Stéphane Chrétien
et al

03062019

A ClusteringBased Combinatorial Approach to
Unsupervised Matching of Product Titles
by
Leonidas Akritidis
et al

03062019

SafetyGuided Deep Reinforcement Learning via Online
Gaussian Process Estimation
by
Jiameng Fan
et al

03082019

Do we still need fuzzy classifiers for Small Data in
the Era of Big Data?
by
Mikel Elkano
et al

03112019

Deep Recurrent QLearning vs Deep QLearning on a
simple Partially Observable Markov Decision Process
with Minecraft
by
Clément Romac
et al

03092019

Successive Over Relaxation QLearning
by
Chandramouli Kamanchi
et al

03102019

Automated Segmentation of Knee MRI Using Hierarchical
Classifiers and Just Enough Interaction Based Learning:
Data from Osteoarthritis Initiative
by
Satyananda Kashyap
et al

03102019

LearningBased Cost Functions for 3D and 4D
MultiSurface MultiObject Segmentation of Knee MRI:
Data from the Osteoarthritis Initiative
by
Satyananda Kashyap
et al

03062019

Proving the NPcompleteness of optimal moral graph
triangulation
by
Yang Li
et al

03062019

Neural Empirical Bayes
by
Saeed Saremi
et al

03082019

LowRank Tensor Completion via Tensor Ring with
Balanced Unfolding
by
Huyan Huang
et al

03072019

MinAtar: An Atariinspired Testbed for More Efficient
Reinforcement Learning Experiments
by
Kenny Young
et al

03072019

Phaseaware Speech Enhancement with Deep Complex UNet
by
HyeongSeok Choi
et al

03082019

Learning Quantum Graphical Models using Constrained
Gradient Descent on the Stiefel Manifold
by
Sandesh Adhikary
et al

03062019

Positively ScaleInvariant Flatness of ReLU Neural
Networks
by
Mingyang Yi
et al

03092019

Orthogonal Estimation of Wasserstein Distances
by
Mark Rowland
et al

03062019

Autoregressive Convolutional Recurrent Neural Network
for Univariate and Multivariate Time Series Prediction
by
Matteo Maggiolo
et al

03062019

Relational Pooling for Graph Representations
by
Ryan L. Murphy
et al

03072019

Interpretable Deep Learning in Drug Discovery
by
Kristina Preuer
et al

03072019

Doubly Aligned Incomplete Multiview Clustering
by
Menglei Hu
et al

03112019

Accuracy Booster: Performance Boosting using Feature
Map Recalibration
by
Pravendra Singh
et al

03082019

Should we Reload Time Series Classification Performance
Evaluation ? (a position paper)
by
Dominique Gay
et al

03072019

Deep CNNbased Multitask Learning for OpenSet
Recognition
by
Poojan Oza
et al

03092019

Interpreting and Understanding Graph Convolutional
Neural Network using Gradientbased Attribution Methods
by
Shangsheng Xie
et al

03072019

AutoVectorizing TensorFlow Graphs: Jacobians,
AutoBatching And Beyond
by
Ashish Agarwal
et al

03072019

Transfer Learning Using Ensemble Neural Nets for
Organic Solar Cell Screening
by
Arindam Paul
et al

03092019

A Hybrid GAPSO Method for Evolving Architecture and
Short Connections of Deep Convolutional Neural Networks
by
Bin Wang
et al

03062019

Learning from HigherLayer Feature Visualizations
by
Konstantinos Nikolaidis
et al

03062019

GQSTN: Optimizing OneShot Grasp Detection based on
Robustness Classifier
by
Alexandre Gariépy
et al

03082019

Rates of Convergence for Sparse Variational Gaussian
Process Regression
by
David R. Burt
et al

03072019

Multioutput Bus Travel Time Prediction with
Convolutional LSTM Neural Network
by
Niklas Christoffer Petersen
et al

03082019

Primary User Emulation Attacks: A Detection Technique
Based on Kalman Filter
by
Zakaria El Mrabet
et al

03112019

Automated Circuit Approximation Method Driven by Data
Distribution
by
Zdenek Vasicek
et al

03092019

Machine Learning Based Prediction and Classification of
Computational Jobs in Cloud Computing Centers
by
Zheqi Zhu
et al

03092019

TwoHop Walks Indicate PageRank Order
by
Ying Tang

03062019

Learning multimodal representations for
sampleefficient recognition of human actions
by
Miguel Vasco
et al

03072019

Detection of Advanced Malware by Machine Learning
Techniques
by
Sanjay Sharma
et al

03082019

Everything old is new again: A multiview learning
approach to learning using privileged information and
distillation
by
Weiran Wang

03082019

RoPAD: Robust Presentation Attack Detection through
Unsupervised Adversarial Invariance
by
Ayush Jaiswal
et al

03082019

LargeMargin Multiple Kernel Learning for
Discriminative Features Selection and Representation
Learning
by
Babak Hosseini
et al

03112019

SampleEfficient ModelFree Reinforcement Learning with
OffPolicy Critics
by
Denis Steckelmacher
et al

03112019

A crosscenter smoothness prior for variational
Bayesian brain tissue segmentation
by
Wouter M. Kouw
et al

03072019

MultiHot Compact Network Embedding
by
Chaozhuo Li
et al

03092019

Robust Influence Maximization for Hyperparametric
Models
by
Dimitris Kalimeris
et al

03062019

Deep Random Splines for Point Process Intensity
Estimation
by
Gabriel LoaizaGanem
et al

03102019

Uncertainty Propagation in Deep Neural Network Using
Active Subspace
by
Weiqi Ji
et al

03102019

Sparse Grouped Gaussian Processes for Solar Power
Forecasting
by
Astrid Dahl
et al

03082019

Inductive Transfer for Neural Architecture Optimization
by
Martin Wistuba
et al

03072019

Limiting Network Size within Finite Bounds for
Optimization
by
Linu Pinto
et al

03082019

Sparse Representations for Object and Egomotion
Estimation in Dynamic Scenes
by
Hirak J Kashyap
et al

03072019

Automatic Ontology Learning from DomainSpecific Short
Unstructured Text Data
by
Yiming Xu
et al

03082019

Improved Robustness and Safety for Autonomous Vehicle
Control with Adversarial Reinforcement Learning
by
Xiaobai Ma
et al

03102019

Optimal CollusionFree Teaching
by
David Kirkpatrick
et al

03102019

β3β3IRT: A New Item Response Model and its
Applications
by
Yu Chen
et al

03082019

Approximating Optimisation Solutions for Travelling
Officer Problem with Customised Deep Learning Network
by
Wei Shao
et al

03072019

Fast Multichannel Source Separation Based on Jointly
Diagonalizable Spatial Covariance Matrices
by
Kouhei Sekiguchi
et al

03102019

Multinomial Random Forests: Fill the Gap between
Theoretical Consistency and Empirical Soundness
by
Yiming Li
et al

03112019

Scaling up deep neural networks: a capacity allocation
perspective
by
Jonathan Donier

03072019

On Transformations in Stochastic Gradient MCMC
by
Soma Yokoi
et al

03082019

Accelerating Generalized Linear Models with MLWeaving:
A OneSizeFitsAll System for Anyprecision Learning
by
Zeke Wang
et al

03112019

An Innovative Word Encoding Method For Text
Classification Using Convolutional Neural Network
by
Amr Adel Helmy
et al

03082019

Adaptive Power System Emergency Control using Deep
Reinforcement Learning
by
Qiuhua Huang
et al

03082019

Jointly Learning Explainable Rules for Recommendation
with Knowledge Graph
by
Weizhi Ma
et al

03072019

SelfTuning Networks: Bilevel Optimization of
Hyperparameters using Structured BestResponse
Functions
by
Matthew MacKay
et al

03092019

Variational Inference of Joint Models using
Multivariate Gaussian Convolution Processes
by
Xubo Yue
et al

03072019

Outdomain examples for generative models
by
Dario Pasquini
et al

03062019

Detecting Overfitting via Adversarial Examples
by
Roman Werpachowski
et al

03082019

Linear Bandits with Feature Feedback
by
Urvashi Oswal
et al

03072019

General Convolutional Sparse Coding with Unknown Noise
by
Yaqing Wang
et al

03062019

Fast Parallel Algorithms for Feature Selection
by
Sharon Qian
et al

03062019

Learning Graphs from Noisy Epidemic Cascades
by
Jessica Hoffmann
et al

03072019

MetaDataset: A Dataset of Datasets for Learning to
Learn from Few Examples
by
Eleni Triantafillou
et al

03092019

GNN Explainer: A Tool for Posthoc Explanation of Graph
Neural Networks
by
Rex Ying
et al

03092019

NonNegative Kernel Sparse Coding for the
Classification of Motion Data
by
Babak Hosseini
et al

03082019

Learning SelfGamePlay Agents for Combinatorial
Optimization Problems
by
Ruiyang Xu
et al

03112019

FisherBures Adversary Graph Convolutional Networks
by
Ke Sun
et al

03092019

Functional Principal Component Analysis for
Extrapolating Multistream Longitudinal Data
by
Seokhyun Chung
et al

03092019

A tractable ellipsoidal approximation for voltage
regulation problems
by
Pan Li
et al

03062019

Orthogonal Structure Search for Efficient Causal
Discovery from Observational Data
by
Anant Raj
et al

03112019

HetConv: Heterogeneous KernelBased Convolutions for
Deep CNNs
by
Pravendra Singh
et al

03102019

Likelihoodfree MCMC with Approximate Likelihood Ratios
by
Joeri Hermans
et al

03062019

Fast Graph Representation Learning with PyTorch
Geometric
by
Matthias Fey
et al

03062019

Using World Models for PseudoRehearsal in Continual
Learning
by
Nicholas Ketz
et al

03072019

RLOC: Neurobiologically Inspired Hierarchical
Reinforcement Learning Algorithm for Continuous Control
of Nonlinear Dynamical Systems
by
Ekaterina Abramova
et al

03062019

A CharacterLevel Approach to the Text Normalization
Problem Based on a New Causal Encoder
by
Adrián Javaloy Bornás
et al

03112019

InceptionGCN: Receptive Field Aware Graph Convolutional
Network for Disease Prediction
by
Anees Kazi
et al

03112019

Singing voice conversion with nonparallel data
by
Xin Chen
et al

03072019

Based on GraphVAE Model to Predict Students Score
by
Yang Zhang
et al

03102019

OnePass Sparsified Gaussian Mixtures
by
Eric Kightley
et al

03102019

Affordance Learning for EndtoEnd Visuomotor Robot
Control
by
Aleksi Hämäläinen
et al
